Table of contents

Focusing on the problems that micro-structures of thermal barrier coatings have recast layer and micro-cracks, a new technology of water jet-assisted ultraviolet-laser machining is presented in this study. Ultraviolet laser beam in the water jet is directly focused on the surface of thermal barrier coatings. Micro-structures of thermal barrier coatings are etched by the photochemical effect. Meanwhile, water jet effectively cleans the etched material. Therefore, it is realized that micro-structures of thermal barrier coatings has no recast layer to improve machining quality. The cooling effect of water jet in the ultraviolet-laser machining is considered. Temperature field model, flow field model and the coupling relation model of water jet-assisted ultraviolet-laser machining are built. Moreover, the process of numerical simulation is designed and the results of simulation process are analysed to reveal the forming law. The validity of the model is verified by experiment.

The rough set (Hereinafter referred to as RS) and support vector machine (Hereinafter referred to as SVM) are combined and applied to the diagnosis of small sample fault of cement rotary kiln. In this paper, the basic knowledge of RS and SVM theory is introduced firstly. Then the knowledge of application of RS theory in cement rotary kiln fault is reduced. Lastly, SVM theory is utilized to train and classify the reduced data. This combined diagnosis method not only brings the advantages of two theories into full play, but also overcomes the limitation of SVM in identification of redundant information and useful information, effectively reduces the space dimensionality of input information of SVM and makes up the disadvantages of sensitive to noise of input information and poor interference immunity of RS theory. Therefore, the efficiency and accuracy of diagnosis are improved effectively.

To investigate user performance evaluation for different alarm forms on the digital interface under single dimensional information coding, such as color, shape, flash frequency, size and number, this study designed 5 visual alarm modes by following the design specification of visual alarm signal and carried out behavioral experiments for a certain radar interface. Based on the statistical analysis of accuracy rate and reaction time and comprehensive experimental interviews, the results reveal that, visual coding alarm form in the best identification performance is number and the worst is flash frequency. The research conclusions can be applied to the actual alarm interface design. It has a certain reference value for reducing the cognitive friction between the user and the digital interface, establishing a good man-machine cognitive matching relationship and perfecting the usability evaluation system of information coding.

Artificial neural network is one of the hottest research areas in recent years. Inspired by the system of human brains, Artificial neural network is widely used in expert systems, machine learning and other fields. In recent years, the artificial neural networks related literature shows explosive growth. Through social network research on the artificial neural networks can help us to understand and predict trends and changes in the field of neural network. In this paper, a social network of co-writing is built based on for last 15 years SCI articles, which themed "artificial neural network". The information from the full record of these papers is abstracted and the discussion on it is shown in two aspects: time period and impact factor. By the analysis and comparison on the nature of the complex network, it can be found that artificial neural networks draw more and more attention, research cooperation in this field is more common, and in the group of authoritative experts this feature is particularly evident. Meanwhile, it is obvious that social network of artificial neural network is a typical scale-free network.

Learning resource navigation is a major problem that restricts learners' learning behavior. This paper proposed semantic approach based on ontology, which is helpful to solve the knowledge organization problem of digital library.The corpus was collected according to the 22 major categories of the Chinese Library Classification.It was divided into domain corpus and balanced corpus.Based on the knowledge base, information entropy and variance, linguistics, combined word length ratio, domain correlation and domain consistency, the domain concept was extracted.The cohesion hierarchical clustering method was used to extract the classification relationship between concepts. The log-likelihood ratio algorithm was used to extract the non-classification relations of domain concepts.

Since the existing crowd evacuation model for path optimization problems seldom considers the degree of confusion in the crowd movement, a modified Ant Colony Optimization (ACO) evacuation model based on evacuation entropy is constructed in this paper. Evacuation entropy reflects the degree of crowd confusion. It is used to modify the heuristic function of traditional ACO and is taken as the metric of the local pheromone updating strategy. This study is modeled by grid method and the simulation results show that the introduction of evacuation entropy greatly improves the convergence rate. The simulation of the optimal path takes the degree of chaos and the length of the crowd movement into account. It is of great practical significance to study how to plan reasonable evacuation routes.

This paper proposes an iris recognition algorithm based on Hough transform. Firstly, the iris image is preprocessed, and the iris boundary is detected by Hough transform combined with Canny edge detection algorithm. Then, the annular iris region is normalized into a rectangular region by using the Rubber sheet algorithm; then the 1D Log-Gabor filter pair is used. The texture features of the normalized iris image are extracted, and the recognition algorithm based on the Hamming distance classifier is used for the final pattern matching according to actual needs. In this paper, the CASIA Iris Image Database V1.0 iris image database is used as the experimental object, and the simulation is performed on the MATLAB platform to verify the effectiveness of the iris recognition algorithm. Experiments show that the iris recognition method is feasible and effective.

In order to study the frequency domain response of the projectile structure in the process of hard target penetration, a method of combining modal analysis and blind source separation is proposed to identify the response of projectile structures. Firstly, the natural frequency range of the projectile structure under the free state is given through the simulation analysis of the projectile structure, and the resonant frequency of the projectile structure is obtained when the periodic load is excited. Further, through the ensemble empirical mode decomposition, ascending dimension, recombination and blind source separation of the test signals, the penetration characteristics and high-frequency vibration signals of the projectile are obtained. Finally, comparing the simulated resonant frequency and the high-frequency vibration frequency after separation, the similar component is recognized as the structural response of projectile penetrating process.

Outdoor activity space in residential districts is an important place for daily leisure activities of urban residents, whose comfortable level is directly affected by sunshine environment and ventilation environment. In this study, three residential areas represented in Hangzhou were selected. First, models were established to analyze the sunlight environment, and the suggestions were proposed to improve the sunshine conditions based on the research results. Secondly, the CFD wind environment simulation analysis method is adopted to analyze the ventilation environment of the three residential areas and discuss the solutions to the corresponding problems. The research conclusion can provide reference for the planning and design of outdoor activity space in urban residential districts.

The paper explores the quality of communication in wireless networks and the assessment of the quality of communication for the main parameters of indoor and outdoor use. The analysis of the influence of the surrounding radio waves of wireless communication networks was carried out on different types of medium. The propagation of radio waves in the room and in the open air was compared. In addition, there is some measurements of signal power passing through different obstacles.

The fusion of infrared and optical images is difficult because images of the intended infrared targets are weakened by the background of optical images when guided by traditional pixel-based fusing rules. In this study, an improved fusion method based on infrared target extraction is proposed. First, to highlight infrared targets in the fused image, this method obtains the target's contour binary image by Canny edge detection and obtains the segmented binary image by using Otsu threshold segmentation method. The proposed method then fuses the two binary images using their complementary information to generate a more complete infrared target image which guides the fusion of low-frequency coefficients of the source images. Second, the extracted infrared target image, the source infrared image, and the V component of the source optical image are all decomposed by Laplacian pyramid transform. High-frequency coefficient fusion is performed using the rules of region mutual information, region match measure, and region energy, meanwhile low-frequency coefficient fusion is performed using the infrared target image and region information rules. Experimental results indicate that the proposed fusion method outperforms traditional fusion methods in preserving infrared target information in the fused image.

The classical association rule data mining algorithm Apriori algorithm is widely used in various fields. Through the analysis and mining of data relevance, the information extracted has important reference value in the decision-making process. The continuous promotion and application of information technology, how to make full use of this data information to provide decision support for decision maker in various industries have become an urgent and thorny issue. In addition to using the existing relational database standard query statements to obtain general and intuitive information, It is necessary to mine the data relationships that are contained, unknown, and actually exist. The famous Apriori algorithm is an algorithm for mining association rules. In this paper, through the basic idea of Apriori algorithm, the embedded data relationship is mined and Apriori algorithm is implemented.

By establishing engine-clutch-vehicle body nonlinear dynamic, the nonlinear dynamic behavior of DDCT is studied with Clutch rigidity. The nonlinear dynamic behavior of the chaotic and bifurcation of the vibration of the clutch system is analyzed. The stability of the system is determined by the maximum Lyapunov index method; And combined with experimental study, the clutch noise and the vibration acceleration of the gearbox during the movement of the car are tested. It shows as follows, Reducing the Clutch stiffness can effectively reduce the noise and vibration acceleration. It is also provide a theoretical basis for solving the noise problem in the starting process.

In order to improve the safety performance and comfort of amusement facilities, reduce research and development costs and shorten the development cycle, simulation analysis can be performed using the mechanical system dynamics analysis software ADAMS. In this paper, through the analysis of the principle of the large pendulum movement, the physical object is rationally simplified. The three-dimensional CAD software is used to model the key components of the pendulum, and then the three-dimensional model is imported into the dynamic simulation software. After setting the technical parameters and motion functions of the components in the model, the simulation analysis can be performed to obtain the movement and force conditions of each component during the operation of the device. The simulation analysis results are compared with the theoretical calculation results. The research shows that the output of simulation analysis is consistent with the theoretical calculation result. Using virtual prototype instead of physical prototype is an effective method to improve equipment safety and reduce costs.

The harmonic control is one of the important ways to improve the power quality, and the fast and accurate detection of the amplitude and phase of the harmonic in the power system is the prerequisite for the realization of the harmonic control of the power system. In this paper, based on the operation mechanism of particle filter (PF), the optimization method of the firefly algorithm (FA) is modified and the intelligent optimization particle filter of the firefly algorithm (FAPF)is proposed, which is used to detect the amplitude and phase of the dynamic harmonic in the power system. The method improves the overall quality of particle swarm and preserves its unique advantages in dealing with nonlinear, non-Gauss system of parameter estimation and state filtering. The experimental results show that, under the nonlinear and non-Gauss noise environment, the FAPF algorithm has the advantages of high accuracy and good real-time performance when estimating the dynamic harmonic amplitude and phase of the power system.

In recent years, agricultural machinery accidents have remained high, and in addition to the reasons for the lack of machinery itself, human factors account for a large proportion. This paper mainly introduces some accident classification and operation specifications of harvesters, divides the operation specifications into nodes, and then uses the keywords in HAZOP analysis method to conduct guided analysis, analyzes the causes, consequences and existing protection measures of deviations. Under the condition that the existing protection measures are in normal operation, the risk level is still beyond the acceptable level, and the recommended measures are further given, which is of great significance for the further promotion of the harvester.

Distribution of gas flow is related to the temperature distribution in the furnace, furnace condition running, and utilization of the gas, ultimately affecting the blast furnace smelting. The research results show that the gas utilization and temperature field center shift gas share were positively correlated, and negatively correlated with the excursion of the larger and smaller gas share. After the processing of the STING grid, there are five categories. The comparison shows that the gas utilization rate is mainly determined by the non offset gas occupation rate of the temperature field center.

At present, the study of standard requirements is still missing. Firstly, this paper constructs an evaluation index system of renewable resource standard demand from four aspects: environmental demand, resource demand, economic demand and social demand. Secondly, VIKOR method is used to construct the standard requirement evaluation model. Finally, the paper makes an empirical analysis of ten major renewable resource standards in China. It is desirable to be able to provide decision support for that relevant sector through research on the requirement for demand standards of renewable resources.

Nowadays, China's rural development Internet has become the mainstream in the information age, and there are more and more rural netizens. Under the promotion of rural Internet, the sales and sales of agricultural products are obviously provided and increased. The development of e-commerce in rural areas is of great significance. It is feasible to develop e-commerce in rural areas. This paper expounds the development status of rural e-commerce platform in recent years, and discusses the efficient construction mode of rural e-commerce platform for readers' reference.

From manufacturing industry to intelligent manufacturing industry, China's manufacturing industry is entering a new intelligent production mode on a large scale. With the implementation of 4.0 policies in China's industry, it has further stimulated the endogenous power of the development of intelligent manufacturing in Chinese enterprises, and accelerated the development of intelligent factories and digital production workshops. The new production system of intelligent manufacturing emerges as the times require. In intelligent manufacturing, manufacturing enterprises implement individualized flexible production and control production cost according to market demand. This undoubtedly puts forward many new requirements for its production mode. 2018 can be said to be the key year to promote the development of intelligent manufacturing in China. In this trend, the traditional manufacturing industry upgrading is particularly important and has attracted much attention.

Using investigation on Cadmium (Cd) in surface and bottom waters in this bay during 1984-1988 (in absence of 1987), this paper analyzed the horizontal distributions of Cd, calculated the absolute and relative settlement and accumulation of Cd. Results showed that the settlement of Cd was rapid, resulting in the consistency of Cd contents in surface and bottom waters. In case of little source input, Cd contents in waters were very homogeneous with a small differenct of 0.01 µg L⁻¹. The absolute and relative settlement amounts of Cd were 0.14-6.47 µg L⁻¹ and 70.0-99.8%, respectively. The absolute and relative acumulation amounts of Cd were 0.10-1.29 µg L⁻¹ and 55.5-100.0%, respectively. The settlement/accumulation of Cd in bottom waters were high/low in case of Cd contents in surface waters were high/low. Furthermore, in order to demonstrate the migration processes of substances in marine bay, we provided Yang's Clearing-up Feature, as well as the mathematical expression.

The noise reduction performance of the muffler is further optimized in order to study the acoustic performance of the high-performance composite muffler. On the basis of reasonable assumptions, the boundary values of the entrance and exit, which of the inner wall surface of the muffler are set up. The internal acoustic finite element model is established through HYPERMESH, and the transmission loss(TL) is calculated by the SYSNOISE module in Virtual.lab. Then, the effect on noise reduction performance by the main structural parameters of muffler, such as the hole diameter of the perforating tube, the number of expansion chamber, and the position of the main air flow passage are discussed. The experiment proves that the noise reduction performance of the muffler is improved effectively, proves the practicability of this method, and also gives a solution for the design and optimization of complex muffler.

In view of the high initial velocity and chamber pressure of the high chamber pressure gun, the equation of state of gunpowder gas which is closer to the actual situation is adopted. Then considering the influence of the air resistance at the front of the projectile, the change of the combustion speed parameter in different pressure sections, both the specific heat ratio of the gunpowder gas and the constant volume specific heat change with the pressure and temperature, and the effect of erosive burning, the traditional classical internal ballistic model is modified. And the corresponding physical and mathematical models are established, the analogous calculation programs are compiled, the theoretical calculations and experimental results are compared. The results show that compared with the traditional classical internal ballistic model simulation, the simulation results of the modified ballistic performance of the high chamber pressure gun are more consistent with the experimental results.

spherical sealing joint airtight sealing structure (hereinafter referred to as "screw joint") is an important part of the spacecraft propulsion system to realize airtight connection between the pipes in different cabins and between the pipe and the thruster. The screw joint realizes aright sealing by deforming the metal of the spherical head and the conical surface, and it is very sensitive to scratches or indentation, so in operation, repetitive disassembly and assembly shall be avoided and it is necessary to realize airtight tightening in one shot. According to statistical results, in research and development of spacecraft, the success rate for one-shot tightening of the same screw joint differs with the type and the section of the spacecraft: in some sections, the success rate is close to 100%, but in some other sections, it reduces to 70%. This paper makes failure analysis for unqualified one-shot tightening of screw joints and sorts out the factors related to pipeline layout design that leads to the failures, on the basis of which it tries to optimize the design from the perspective of pipeline layout. By calculating the tightening force of the screw joint, this paper quantifies the requirements for degree of freedom (DOF) of the pipeline and the rigidity of the valve/pipeline supporting stand. It will be of great significance to ensure high reliability of the spacecraft propulsion system.

University mathematics is a required course for many colleges and universities, and it is also an examination course for examinations. Although colleges and universities attach great importance to the teaching of university mathematics, due to the influence of many objective factors, the teaching effect has always been less than ideal. The flipping classroom focuses on students, improves the students' ability to learn independently, and increases student-teacher interaction and interaction so that students can complete university mathematics studies with high efficiency and quality. This article first briefly introduces the concept of flipping classrooms, analyzes the role of flipping classrooms, and finally studies and discusses the application of flipped classrooms in college mathematics.

China's aviation logistics have the characteristics of early origin and slow development. The SF airport project has been approved, but what factors may hinder its development and how Shunfeng Airport responds to these obstacles. This paper collects relevant data and refers to domestic and foreign aviation logistics cases, summarizes the 10 obstacles to the development of the airport in SF Express, and uses ISM analysis and computational classification to conclude that the service industry is backward, economic and foreign trade volume is low, and airspace and site resources are strained. Driver-inhibiting factors: The lack of core resources, large capital expenditures, and unreasonable route planning during the transition of Shunfeng are reliance-based hindrances; and recommendations are made based on the classification of obstacles to provide reference and guidance for the future development of the airport in Shunfeng.

The purpose of this paper is to explain the impact of institutional environment on employee safety behaviors, which helps to organize research on the safety climate. A set of assumptions was put forward to prove that the healthier the institutional environment is, the better the employees' safety behavior. At the same time, we assume that the dimensions of the institutional environment will affect the safety climate. In particular, other assumptions pertain to safety climate mediated the relation between institutional environment dimensions and employee safety behavior. Through a questionnaire survey of 161 employees in manufacturing enterprises, we obtained a set of factors that measure the enterprise's institutional environment and employees' safety behavior in a specific safety climate. The empirical results show that: 1) The good institutional environment has a positive impact on employees' safety behavior; 2) The healthy institutional environment significantly enhances the safety climate; 3) The relationship between institutional environment dimensions and employee safety behavior can be partially adjusted with a safety climate. The research results also encourage organizations to invest in institutional environments that support improved employee safety behavior.

In order to gain insights into the current research status of management information systems in China's domestic construction sector and find out more industry information, 2023 journal articles from 2003 to 2017 in CNKI were used as basic data for research purposes, and knowledge maps were made through citespace. Through author statistics, journal statistics and data sample system statistics to draw and construct visual graphs to study influential author relationships, and cooperative relationships in the architectural field; And use the keywords to build a timeline view and time zone to analyze the research frontiers and development trends in the field of architecture. The construction of the knowledge map provides an intuitive and convenient way for the research of the building management information system in China.

In order to solve the problem of urban express delivery under carbon emission policies, we adopt an improved carbon emission quantitative method, which is based on actual speed data from road network in Guangzhou. Then, we develop an urban express delivery model aiming at minimizing the total cost of the delivery and reducing carbon emission, and use the hybrid algorithm GATS to solve the problem. A numerical example is given to verify the validity of both the model and the solution algorithm, and we also conduct a sensitivity analysis on carbon tax. This study can provide technical supports for urban express enterprise in reducing total costs and carbon emissions.

Heyuan has its own location and resource advantages. And the industrial enterprises in Heyuan should take advantage of the driving effectiveness of the development of Guangdong, Hong Kong and Macau to speed up their own development. Starting from the development status of industrial enterprises in Heyuan, this paper explores the problems of industrial enterprises in Heyuan. Then, from the two levels of enterprise and government, it puts forward suggestions for accelerating the development of industrial enterprises. This paper has a certain reference value for the development of enterprises in Heyuan, and also has some reference significance for other underdeveloped areas in Guangdong.

At present, with the acceleration of technological innovation, state-owned enterprises have become an important driving force for technological innovation in China. However, due to the limited influence of state-owned enterprises on their inherent systems, the innovation vitality of scientific and technological personnel needs to be improved. In the implementation of the country's implementation of innovation-driven development strategy, many state-owned enterprises have combined their actual conditions, dared to take steps to reform, explored technological innovation mechanisms and strategic changes, and introduced a number of new scientific and technological innovations.

Analyse the internal micro-environment and external macro-environment factors which the construction of the scientific research personnel incentive system faces by the way of SWOT-PEST analysis method. Construct a SWOT-PEST analysis matrix to systematically analyze the strengths and weaknesses of the scientific research personnel incentive system in terms of politics, economy, society, and technology. Find the opportunities and risks which the scientific person faced, and solve the incentive system for scientific research person.

"Internet +" has become the background of economic and social development today. The rapid development of information technology has provided conditions for accelerating the construction of agricultural informatization. The promotion of internet platforms plays a more important role in the sales of agricultural products. This article focuses on the overall situation of the internet in rural areas, based on the province of Jiangsu, from the internet infrastructure, the number of Internet users, the introduction of network promotion preferential policies in several aspects of agricultural products; analyzed the status quo of agricultural products network promotion mode from the aspects of internet transaction security, single means of network promotion, offline distribution; based on the analysis of the basic background, advantages and disadvantages of the Internet marketing and sales of agricultural products today, this paper discusses the strategy of internet promotion of agricultural products based on the tripartite linkage model of "political school enterprises" and provides reference for agricultural product operators and researchers in related fields.

In recent years, the reform of medical insurance system has become the focus of attention of the government and society, the urban and rural medical security system has hampered the economic and social development of China. In order to realize the steady transition in the urban and rural medical insurance system integration, it needs cooperation in many aspects, such as idea, system, management and service. And with the government as the leading factor synchronously, to integrate the system, institution and resources. In addition, improving medical insurance management and quality of medical and health services is also necessary for the integration of urban and rural medical insurance truly implemented, and benefit all the people.

With the promulgation and implementation of the labor contract law and the law on the promotion of private education, the study of labor relations, especially the discussion on the management of labor relations of private colleges and universities, has become a hot topic. As an important part of the main body of higher education in China, private colleges and universities are facing more and more fierce competition, and there are more and more problems facing teachers' labor relations. How to solve the problems in the management of the labor relations of private university teachers and to construct a harmonious and stable labor relationship of private university teachers have become the key to the sustainable development of private colleges and universities. This paper puts forward feasible suggestions from three aspects: macro, meso and micro, so as to help private universities find reasonable solutions to problems.

In the market economy environment, the level of innovation and development of the private listed companies reflect the local economic development potential to a large extent. Liaoning Province is one of the earliest coastal provinces in China, which is the only coastal and boundary provinces in Northeast China. The innovation ability of private listed companies has greatly promoted and improved the regional economic development. In this paper, the BCC model of data envelopment analysis is used to evaluate the efficiency of input and output of 26 private listed companies in Liaoning Province. The main conclusions are followings. Firstly, the innovation input and output of Liaoning private listed companies is not high in the overall, which did not make the investment resources to maximize the benefits. Secondly, the main factors that resulted a lower output efficiency included corporations putting in too much funds in projects and a diminishing scale returns. Thirdly, innovation efficiency achieving the best DEA was the middle of the scale of non-manufacturing enterprises, these enterprises hadn't much investments in innovation, but its output benefits were more significant. Finally, in order to improve the efficiency of private investment in listed companies. It put forward countermeasures including private listed companies in Liaoning Province should increase investments in innovation activities, create a good atmosphere of scientific and technological innovation and stimulate the innovative thinking of scientific research personnel.

This paper is based on the statistical data of real estate development investment and general budgetary revenues of local finance in Heyuan from 2001 to 2016. After that, Eviews6.0 software is used to analyze the long-term equilibrium relationship between real estate development investment and fiscal revenue through co-integration analysis. Finally, this paper proposes that the real estate industry in Heyuan should proceed from the aspects of real estate diversification, the construction of the new area of Jiangdong, the improvement of housing security and the improvement of public service, so as to realize the sustainable and healthy development of the real estate industry.

The research is to 1) find out specific the existing problems of man-machine-environment system, the Chinese virtual learning environment in higher education, 2) identify the students' concerns and preferences for taking online courses and rebuild the model of Chinese virtual learning environment between the instructors and learners based on the communication theories 3) provide some possible suggestions for developing virtual learning environment in China. Through mathematical methods, the rationality of data is checked and the weights of the indexes are determined.

To investigate the effect of omni-channel strategy, this study formulates a system dynamics model based on omni-channel retailing practice of company X in China. The model validation and simulations under basic scenario illustrate the applicability of the system dynamics methodology in this problem. In particular, we conduct a sensitivity analysis on users' retention rate (URR). The results show that omni-channel strategy of company X will be practical and enhancing URR can promote the performance of the company. This paper creates a new paradigm to study omni-channel strategy using system dynamics. In addition, intuitively sound insights for both company X and traditional retailers are also provided.

Based on the research of financial centralized management and project financial centralized management, this paper comprehensively expounds the related theories of financial centralized management and analyzes the necessity of financial centralized management in large engineering construction enterprises. It also explores the financial centralized management mode of large engineering construction enterprises and puts forward some countermeasures.

This article starts from the adoptive relationship, evaluates the influence of ISO standards through the 5 evaluation dimensions (strength, width, validity, viscosity and conversion speed of adoption) and 5 objects (China, America, Europe, National Standard Organization and Other Asian Organizations) of this influence. We solve the scores of ISO standards under each influence object using RSR method.

The current city is facing the threat of various natural and man-made disasters. The theory of resilient city provides a new thought for urban planning and disaster prevention and reduction.The community is the typical representative of the most practical significance of in the inner space of the city. The resilient community is also the basic unit of urban disaster prevention and mitigation and maintenance of public safety. However, resilient city construction has just begun in China, and the construction of community resilience has not been paid enough attention. This paper first puts forward the development of resilience. On this basis, it summarizes the connotation of community resilience and draws on the experience of international representative resilient construction. Combined with the current situation of resilient construction in China,the resilient community system in line with the national conditions is constructed, aiming at accelerating the pace of localization community resilience.

In twenty-first Century, sport has become an important part of education and teaching, more and more attention has been paid to the relevant departments of Chinese schools. In recent years, with the school sports accident safety incidence increased in China, and how to improve the safety control and management of school sports and reducing safety accidents has always been a focus of attention of various colleges and universities. For the literature material, questionnaire survey, expert interview and mathematical statistics method of school sports security situation, the investigation carries on the analysis to the school sports safety management theory for Chinese school sports security system construction. In the end, this paper puts forward the countermeasures and suggestions, provides a reference in order to promote the Chinese school sports safety construction.

Migrant workers are a special group in the transition period of Chinese society today. A series of problems caused by the poverty problem of migrant workers have always been a huge challenge to social development as well. From the perspective of social capital, this paper interprets the poverty problem of the vulnerable group of migrant workers, which is conducive to supplementing relevant research and specifically analyzing the reasons for their poverty, and then it puts forward some suggestions such as strengthening integration, government-leading, offering multiple support, perfecting the system and standardizing the environment, from the angle of raising social capital of migrant workers.

Firstly, the article expounds the basic concepts of BIM (Building Information Model) technology, and then analyses the current status and outstanding problems of campus operation and maintenance management. This paper puts forward the concept of applying BIM technology to the campus operation and maintenance management stage from the aspects of security management, energy management and asset management, and analyses the practical application value of BIM in campus operation and maintenance management.

Low-carbon economy is the trend of economic development in the future. It is gradually becoming a hot topic in academic and business circles that how to reduce carbon emissions. Cap and trade is one of the effective ways to reduce carbon emissions and has been adopted by many countries. We investigate a two-echelon supply chain that consists of a supplier and a manufacturer. This paper assumes a vertical Nash game between the two sides. We study three different models on cap and trade policy, which are the independent carbon reduction model and the concentrated models (only the supplier faces cap and trade and only the manufacturer faces cap and trade). We obtain the optimal decisions and unit carbon emissions of the supplier and the manufacturer. The optimal wholesale price, sale price, unit carbon emission and maximum profit under different cap and trade models have be compared by numerical analysis. We find that concentrated carbon reduction models are beneficial for supply chain enterprises, but as the price is creating more carbon emissions than the independent model. This study provides valuable managerial implications, which will be beneficial for firms to make an important strategy.

Facing increasing no show rate, no show influence factors are investigated in the paper. Real data has been collected from West China Hospital (WCH). According to collected data, 8 factors have been extracted as influence factors. Description statistic is used to analyze the relationship between above factors and no show rate. Then the paper adopts one-way ANOVA to analyze the importance of these factors. Finally, appointment lead time, channel, age and address have been proposed to have greater impact on patient no show. And some management insights are proposed.

The real estate industry is an important part of the national economy, which is restricted by the development level of the whole national economy and plays a role of promoting the new economic growth point of the national economy. Cost management plays an important role in the business activities of enterprises. It has an important impact on enterprises to achieve the goal of open source, economize on the flow, and refine the cost control. Based on this, the article listed on the Shanghai and Shenzhen A shares in 2007, before 104 real estate companies as the research object, the selection of 2007-2017 financial index, combining with the macro economy and macro policy for empirical research cost stickiness. Research findings :(1) there is fee stickiness in real estate listed companies;(2) the upward trend of macro-economy will inhibit the stickiness of costs; Inflation promotes stickiness;(3) tight control policies and prudent monetary policies will inhibit the stickiness of expenses.

Based on two different levels of transformational leadership, this paper analyzes in detail the impact of differentiated and transformational leaders on dualistic innovation through different agencies in small and medium-sized industrial enterprises. The results of this study show that: In small and medium-sized industrial enterprises, differentiated transformational leaders will have a positive effect on dual innovation. Among them, team effectiveness plays an intermediary role between consistent transformational leadership and dualistic innovation, and breakthrough innovation has greater impact on incremental innovation. Mental empowerment plays an intermediary role in the consistency of transformational leadership and breakthrough innovation. Therefore, we suggest that managers of small and medium-sized industrial enterprises should adjust their own management style according to their innovation goals, and promote the creation of dual innovation through the promotion of their psychological empowerment or team effectiveness.

This paper studied 5 runoff plots of rainfall, runoff and soil erosion in Zhejiang province, China. The results showed that: (1) Annual rainfall was mainly concentrated in 4-9 months, accounting for 61%-67% of annual rainfall.(2) Annual runoff was mainly concentrated in 5-9 months, accounting for 67%-76% of annual runoff.(3) The amount of soil erosion was mainly concentrated in 5-9 months, accounting for 68%-87% of annual runoff. (4) Soil erosion was closely related to rainfall and runoff.

With the development of the technology, virtual learning environments are seeing wider application in college education. The research goal of this paper is mainly to explore the influence of the interaction between students and students in the virtual learning environment, and to improve students' academic performance. The paper takes the online course of Canvas platform set by international college of China Agricultural University as an example, summarizes the interactive function of Canvas platform from the perspective of students and teachers, and conducts a questionnaire survey on students. Through analysis, the authors find that both teachers and students believe that the interaction in the virtual learning environment can improve students' academic performance. And the gender and the major are key factors.

This paper proposes a bid evaluation method based on grey entropy correlation degree for green construction projects. The first, the evaluation index system of a green construction project is constructed based on the technical requirements of a green construction project. The grey entropy method is also used to eliminate the influence of subjective empowerment on the evaluation result. This removal is intended to build the evaluation model based on the grey relational degree of entropy weight, and select the winning bidder by calculating the correlation degree of each bidder and the ideal scheme. Finally, an engineering example shows this method can be applied to the process of evaluating bids of green construction projects. This method can help the tenderer select the winner of the green construction project more objectively and reasonably.

The green building project has developed rapidly in China in recent years. The government also has many policies to preside over the development of green buildings. At the same time, green buildings are also popular among the people. With the increasing number of green building projects, the risk management of green building projects has become more and more important. Managers should fully identify risks and take precautions before the project is conducted to avoid the negative consequences that these risks may bring. This study aims to identify green building projects' risk factors based on the perspective of sustainability. For this purpose, an extensive literature review was conducted and a total of 19 factors were identified, and then a questionnaire was designed and submitted to 10 experienced green building management experts. Based on data obtained from experts, it was found that" Lack of experienced managers in the operational phase" and "The public's satisfaction with the project is very low" are the two most severe risks.

Fall injuries in the elderly have become an important risk to the health and safety of the elderly, directly affecting their physical and mental health. This paper analyzes the existing research literature on the fall injuries in the elderly in China and sums up the existing literature on fall injuries in the elderly in China from five aspects, namely risk factor research, intervention research, awareness survey, research on risk assessment tools and research on detection and alarm system, so as to put up the research and development of technologies related to falls in the elderly.

This study analyses direct affection and moderate effect of corporate reputation on financial performance. We propose model and hypothesis based theory analyze and collect data using questionnaire survey. We use 156 firms in China as the samples and deal with data using multiple regression analysis. We draw conclusion: (1) The higher corporate reputation, the higher the firm's financial performance; (2) Industry competitiveness moderates the relationship between corporate reputation and financial performance; (3) Environmental uncertainty moderates the relationship between corporate reputation and financial performance; (4) Industry competitiveness and environmental uncertainty jointly moderates the relationship between corporate reputation and financial performance. The study has some contribution for corporate reputation theory and practice.

There is an increasing attention on dynamic relationship between treasury bond futures and spot markets in China. This study investigates price discovery and volatility spillover effect for treasury bond futures and spot markets in China by using 5 minutes high frequency data after China 5-year treasury bond futures trading. The estimation results suggest that, treasury bond futures plays an important role in price discovery function. Then, the results further confirm that treasury bond futures and spot markets exist volatility cluster. Meanwhile, we also find that the volatility spillover effect of treasury bond futures market to spot market is stronger than spot market to treasury bond futures market.

Through the research method of questionnaire survey, the project uses principal component analysis and factor analysis to analyze the acceptance of the government's forced intervention. By identifying the risks of thirteen ecological PPP projects such as breakthrough technology risks, this paper summarizes the thirteen risk factors into six main factors. According to the information contained in the six main factors, combined with the actual situation in China, it provides a reference for the establishment of PPP contracts.

The paper investigates the occupational identity of two groups of students, who are the freshmen majoring in engineering management of the second tier colleges in four provinces. They are divided into two groups, one of which introduces the construction permanent liability nameplate cognitive practice and issues questionnaires. The design investigates the four dimensions of students, including professional cognition, professional emotion, professional behaviour and professional values. Through the analysis of the investigation data, it is found that the cognitive practice can preferably enhance the students' professional identity.

In view of the consumption potential of students to the game, the survey collected 119 validated questionnaires by questionnaires method to explore the influences of game loyalty. The results show that the consumer's social experience and the operator's game design are both promoting their loyalty. Among them, trust has some intermediary effect on the influence of game design and social experience on game loyalty. In addition, gender plays a significant role in the relationship between trust and loyalty, that is, the more the trust of women in teammates and game operators, the more their loyalty on the game. Furthermore, women have a stronger influence on this aspect than men.

The transformation of R&D achievements is a key link for large SOE (State-owned enterprise) to implement national innovation and development strategies and accelerate R&D innovation.

Large-scale SOE have accumulated a large number of R&D achievements. But most of the achievements have not successfully transformed into industrial products. The transformation channels amid R&D, industrial and application units within the SOE group have not been built efficiently, which is mainly due to the fewer high-potential achievements, the narrower transformation channels and the weak motivation of transformation.

Based on an in-depth analysis of the status and problems of SOEs'R&D achievements transformation, this paper introduces the concept of "market transactions", proposes an internal market construction plan and organization system for the transformation of SOEs' R&D achievements which contain a total of 2 types of 3 conversion modes. Also, this paper clearly defines the function orientation and main work of each units, which provides channels for the transformation of its R&D, industrial and application units, promotes the realization of the value of R&D achievements, and improve its R&D efficiency.

This paper contributes to the improvements of the large-scale SOEs'R&D achievements transformation mechanism, to the acceleration the implementation of science and technology development planning, and to the strategic management of R&D innovation.

In the context of urbanization, the Earth's ecosystem and ecological services are severely affected. Rapid urbanization and disorderly expansion have caused the destruction of regional ecological environment and waste of resources, and also brought potential risks to regional ecosystems. From the perspective of landscape ecological security pattern, based on the current situation of Zhaoqing city development, the safety pattern of urban geological disasters, hydrological system, local culture and biological protection in Zhaoqing was analyzed. With the assistance of RS and GIS technology, the Zhaoqing urban ecological infrastructure with high, medium and low levels of safety was constructed, and the ecological conflict space between ecological infrastructure and construction land was identified.

With the rapid development of social economy in our country, College Mathematics has been greatly reformed to a certain extent. In the actual teaching process, it is very important for the students to stimulate their interest in mathematics learning and to cultivate their inquiry ability through the active practice of the flipped classroom teaching mode and the teaching in the form of microcourses. Therefore, Advanced Mathematics education needs to strengthen the application of microcourse teaching form.

The realistic predicament of social responsibility of e-commerce platform is that illegal and bad information is flooding, information security and protection are prominent, and public education and supervision are weak. The purpose of this thesis was to analyzes the social responsibility of e-commerce platform by adopting international standard ISO 26000, and explores the main reasons of the dilemma of social responsibility of e-commerce platform, and then make some suggestions on how to improve the social responsibility of e-commerce platform.

Environmental information system (EIS) is an important aspect of environmental protection strategy. After analysing the present situation of EIS, this paper discussed some suggestions over the development trend of EIS, among which data sharing is the foundation of building a well-designed environmental information system. EIS should also leverage innovative technology, such as big data, artificial intelligence and cloud computing, in order to provide strong technical support for the environmental decision-making.

This paper briefly introduces the modern apprenticeship system, expounds the modern apprenticeship curriculum system, and conducts in-depth research and analysis on the comprehensive ability of the elevator major students based on the modern apprenticeship system. It has published some suggestions and hopes that it can be applied to the modern apprenticeship system. The application in the elevator professional teaching plays a certain reference and helpful role, and realizes the effective training of students' comprehensive ability.

With Chinese economy slows down, Inner Mongolia construction enterprises put more emphasis on how to make use of its geographical advantage to improve competitiveness. This thesis collects the related data of Inner Mongolia construction industry and analyzes the characters of its current development from three aspects, namely, significant external drive, uneven industrial distribution and poor competitiveness. According to the external environment and problems the industry faced, the thesis proposes specific suggestions correspondingly aiming to achieve long-term stable development of Inner Mongolia construction enterprises.

In order to solve the problem of difficulty in obtaining and low accuracy of submarine mud temperature parameters for offshore marine engineering design, based on the latest IAP global water temperature data which released by the Institute of Atmospheric Physics of the Chinese Academy of Sciences, using one-dimensional heat conduction equation and Gumbel extreme value I type distribution method in this paper, a method of calculating the extreme value of mud temperature at different depths below sea bottom is discussed. The results of monthly mud temperature calculation are compared with the historical data at a certain station in the Bohai Sea and show that, the difference in autumn and winter is between 0.16 to 1.04, while in spring and summer is between 0.96 to 2.47. The results of mud temperature extremum calculation for different return periods in 1 to 100 years are compared with the regression statistical analysis results of measured values in an oilfield block in Liaodong Bay and show that, when the normal distribution function is less than 0.2, the grouping difference is between −0.45 to 1.55°C. Using this method, the design parameters of submarine mud temperature can be calculated quickly and conveniently, and can be applied to most of the sea areas in the world.

According to the underwater structure characteristics of suspended submarine pipeline after treatment, it can be divided into two types: non-permeable and permeable. They have different reflection characteristics in the side scan sonar detection images. According to this principle, the side scan sonar detection method can be used to detect and evaluate the treatment effect of suspended submarine pipeline. Before the treatment of suspended submarine pipeline, the pipeline shows strong reflection on the sonar image, and the gap between the pipeline and the seabed surface shows permeable reflection. If the method of "throwing sandbags combined with covering layer" is adopted, the permeable reflection on the sonar image will disappear, and the strong reflection image of the pipeline will coarsen and appear granular due to the filling of the gap. If the "underwater short pile support" and other permeable methods are adopted, the reflection characteristics of underwater short pile are only increased, and the permeable reflection still exists.

At present, the calculation of filler wall in building structure industry is usually implemented by the method of cycle reduction. However, the empirical coefficient proposed by the cycle reduction in view of standard is not accurate. The factors such as the number of filler walls and the rate of opening holes in the structure have different effects on the stress of the structure. Because the stiffness degradation of filler wall is different at different floors and under different stress conditions, the determination of equivalent diagonal bracing width is more complicated. It has been a controversial issue that how the new damping filler wall in the industry to establish an effective formula for calculating the cross-section width of equivalent diagonal brace to be applied to the elastic calculation of the first stage of the seismic and the elastic-plastic calculation of the second stage of the seismic in the case of large earthquakes.

Traditional arithmetic of LSB is only replaces the least bit which is retaining the image more better but a waste of memory. Furthermore LSB can not cut out. In order to improve the LSB digital image watermarking method, in this paper, an algorithm based on image interpolation and spatial separation watermarking is proposed. The watermark's high and low frequency separation method is used in the treatment of watermark, and then the image interpolation is performed to improve the anti-cutting performance. The use of linear transformation and embedded the back of the qr code also improve the security of the algorithm. Experimental results show that to replace the last two bits and image interpolation techniques take effects to LSB.

This paper provided an evaluation method to analyze the comfort interval of automobile seats. According to the theory and analytical procedure of interval parameter structure, based on the human pressure data and valuation results of a large number of automobile seat comfort subjective evaluation tests, the uncertain mathematical relations between objective data of automobile seat comfort test and subjective evaluation scores could be established. This mathematical relation was called interval relationship. The author established the seat evaluation database with a large number of test results, and developed an evaluation method of seat comfort interval with the application of the mathematical model. The Result of the analysis on the feasibility and effectiveness of the evaluation method proved that it could provide more reliable seat comfort evaluation results. The seat design engineer could use this method to replace the complex manual seat evaluation process. Meanwhile, the comfort score provided theoretical guidance for automobile seat design and improvement.

Based on the statistical energy analysis (SEA) method, the noise prediction of the cruise ship's cabins was analyzed and the results show that the noise energy of the engine room (ER) is the highest in the whole cabins, and the energy propagates in the direction of the ship's bow and stern with the ER centered. In order to reduce the noise of the ER, the main characteristics of the noise source were analyzed. The contribution rate of each noise source to the ER and the input power of the diesel engine structure-borne and air-borne noise to the ER were analyzed and calculated. The analysis shows that air-borne noise of diesel engine is the main noise source in the ER. Then the acoustic enclosures were applied to the diesel engine to control air-borne noise and the sound insulation effect of the acoustic enclosure under different working conditions was studied. The results shows that in the case of only considering the air-borne noise of the diesel engine, the sound pressure level(SPL) of the ER is reduced by about 36dB(A)∼62dB(A). In the case where all excitations are loaded, the SPL of the cabin is reduced by an average of about 10.8dB (A), which shows a better sound insulation effect.

There are many factors affecting the formation of haze, and the relationship between haze and haze is very complex. The prediction model of BP network with high precision fitting is used to predict the haze based on BP neural network. First, establishing an index system that affects the haze factors. Secondly, the neural network haze prediction model is established. Finally, the BP neural network is used to predict the number of days of the year. The results show that the model has high feasibility and rationality, and has obtained accurate and reliable results, which provides valuable reference for improving the air monitoring of relevant departments.

This paper illustrates a short distance oil pipeline leakage and blocking monitoring system, which utilizes wireless communication technology to achieve the transmission and control of the temperature and pressure data of the pipeline in WSN mode, the control center achieves remote monitoring and management, as well as automatic detection and alarm function of pipeline leakage and blockage. The result shows that the system has wide coverage, accurate data transmission and strong real-time performance, and it is of great significance in reducing resource waste, decreasing economic loss and avoiding environmental pollution.

Face detection is increasingly common in face recognition. Face detection is the most important step, so it is necessary to improve the accuracy of face detection. In this paper, the traditional YCbCr color space has been improved in the face detection, and the improved color space can fully reflect the face color, so that the system can detect the face more accurately. Lots of tests on face image show that the established system created in this paper, the face detection algorithm based on improved YCbCr color space can carry on the face detection more accurate, improve the detection rate of the whole system.

Third-party model software testing involves and generates large amounts of model software quality data. Currently, there is a deficiency in the collection, analysis and application of these data. Due to the characteristics of model software products (e.g., they are complex, uncertain and difficult to measure) as well as the limited and unsystematic understanding of model software quality, model software quality evaluation has always been a challenge in software quality research. Based on the features of third-party model software testing as well as the model software quality data collected during third-party testing, this study focuses on an in-depth analysis of defect data collected during model software testing by using the Pearson product-moment correlation coefficient, presents corresponding conclusions derived from the analysis of model software defect data, presents suggestions for software testing and evaluation organizations to scientifically manage model software quality data and improve software testing efficiency and provides quality control and improvement measures for software developers.

The space telescope stands for the highest level of a nation's aerospace industry, with its manufacturing and launch remaining a worldwide conundrum. The concept of modularized space telescope is proposed herein, the main structure of the sub-mirror module is designed briefly and the assembly scheme of the main telescope is also provided. Besides, the kinematic equation and working conditions of the space robotic arm used for assembly are given, with the cubic B-spline curves formulating the joint space trajectory. Then, with minimizing the moving time as the objective of optimization, displacement, speed and acceleration as the constraint conditions, a mathematical model for time-optimal trajectory planning is established and the genetic algorithm is used to work out solutions. The emulation result shows that the joint space trajectory of the robotic arm obtained on the premise that all the restraint conditions are met can minimize the robotic arm's moving time.

Because of its light weight, high power density, simple structure, continuous and soft movement, no noise in operation, no pollution to the environment and so on, the SMA(shape memory alloy) driver widely is used in dexterous hands. However, due to the requirement of the length of the drive wire, the driver can not be integrated into the palm of the hand. The SMA differential actuator with smaller structure size is designed to integrate the finger driver into the palm of the hand. The kinematic analysis of the single joint of the finger was carried out and the relationship between the driving current and the joint angle was obtained and the simulation analysis was carried out by using Matlab/Simulink. Finally, a driver experimental platform is built to verify the accuracy of the mathematical model of finger joints.

The problems of long delay and accuracy were caused by the process of developing mechanical fault diagnosis systems using different tools. This article aims to give a reasonable solution to this contradiction by introducing TRIZ theory. This program uses LabVIEW as the development environment, EMD as the algorithm core, TRIZ theory as the development basis. The EMD algorithm is implemented by embedding different methods to decompose the fault signal so as to achieve the fault diagnosis signal in the same mechanical fault diagnosis system that can be decomposed efficiently. During the test machine fault signal pre-processing phase, which takes LabVIEW secondary development of EMD as the core data analysis, the accurate measurement phase is to take LabVIEW and MATLAB mixed programming EMD data analysis. Through such a development process arrangement, a core and two arrangements can be implemented to effectively resolve technical conflicts and provide a new idea.

The equipment of stalk crops seed manufacture at present has defects in precision and intelligentialize, which results in bad quality and low survival rate of the seeds. In this study, computer vision technology is applied to obtain the internodes and buds information of stalk crops, identifying and matching the objective characteristics. Here we summarized the system of computer vision that used to identify the internodes and buds of stalk crops, including three modules: camera calibration, high-speed vision technology and digital image processing. Digital image processing methods which used for recognizing the characteristics of stalk crops are analyzed and generalized. The internodes and buds identification method of stalk crops was put forward in this study. Based on the current research condition, finally, this paper discussed issues and study prospects in the field of stalk crops characteristics identification.

Existing problems in operation of cotton topping machines include poor performance in actual height measurement of the cotton plant, omission of topping, severe over topping, low level of intelligence, and etc. To solve these problems, a scheme of separating the detection device from the topping device and separating the lifting drive from the topping drive is proposed herein, and an intelligent precision cotton topping machine is designed based on the Field-Programmable Gate Array (FPGA) technology. During the topping practice, the detection device precisely detects the height of the cotton plant, while the topping device controlled by the control system carries out accurate quantitative topping. The touch screen control system, which displays the operating speed, work area in real time and monitors the process of cotton topping, significantly increases the level of intelligence. Field tests show that the whole structure of the machine is stable, the machine operation speed is within 3.24km·h⁻¹, the topping rate is about 90%, and the topping quantity is close to the set value, so it is possible to realize quantitative topping and this research provides technical support for cotton topping mechanization.

According to the principle of spherical involute generation, the mathematical model of skew spiral bevel gear tooth flank is derived, according to the mathematical model of the tooth flank, a solid model of the bevel gear is constructed, and then the meshing equation is derived by regulation that the relative motion velocity vector is perpendicular to the common normal line at the meshing point for a pair of gears. Finally, the contact line of skew spiral bevel gears meshing is analyzed, and the relative relationship between the meshing contact line and the tooth flank generation line are derived to provide a theoretical model for design, machining and assembly of gear.

Although breakthrough achievements of deep learning have been made in different areas, there is no good idea to prevent the time-consuming training process. Single-layer feedforward neural networks (e.g. BLS) are used to reduce the training time. However, with the decrease of training time, the accuracy degradation has emerged. In view of the limitation of random generation of connection parameters between feature nodes and enhancement nodes, this paper presents an algorithm (IBLS) based on BLS and backpropagation algorithm to learn the weights between feature nodes and enhancement nodes. Experiments over NORB and MNIST data sets show that the improved broad learning system achieves acceptable results.

Open-structure mobile robot motion control system based on "PC + underlying motion controller" could take advantage of the high degree of good versatility, real-time performance, high processing capacity of PC, and high controlling capacity of underlying motion controller. And the overall design of the open- structure mobile robot motion controller based on PC + stm32 is developed, which contains the system control architecture, the layered architecture of the control system and the human-computer interface. An algorithm also proposed for estimating the robot's position and orientation, and the experimental system built for the prototype, provided the platform for moving, monitoring and automation. Experimental results of the proposed control system show that the open-structure mobile robot owns the stability, accuracy, rapid response and exact localization.

It is one of the basic individual qualities that a dispatcher could deal with all kinds of power network faults calmly. With the development of the society and the updating of the power equipment, the efficiency of the dispatchers are decided by the distinguish ability of the abnormal alarm information of the power grid. Thipaper puts forward three steps of key skills of dispatching training about relay protection, which could help dispatchers to improve their distinguish ability.

Anomaly monitoring in the mold is a mean to ensure its efficient and stable operation. At present, there are many methods for detecting abnormalities in molds, such as tonnage or strain signal analysis, ultrasonic or magnetostatic detection, and machine vision inspection. This paper compares the advantages and disadvantages of the above methods, lists the existing abnormalities of machine vision mold monitoring methods, and the two major problems (illumination changes and camera vibration) in the process of monitoring solutions are summarized. At the end, the paper summarizes and analyzes the development direction and key points of this field.

For the problems that the RSSI fingerprint location algorithm was easily influenced by underground environment, and it is prone to coordinate jumps, and the pedestrian dead reckoning algorithm(PDR) had accumulative error. This paper proposes a fusion personnel location method based on RSSI fingerprinting algorithm and PDR algorithm. The positioning terminal uploads the collected inertial sensor data and RSSI data to location server on the ground through the underground WiFi network. The location server uses particle filter to fuse the RSSI fingerprint location algorithm and the location information of the PDR location algorithm to achieve the positioning of the underground personnel. The results shows that the proposed fusion algorithm cannot only improve the environmental interference caused by the use of the RSSI fingerprint algorithm alone, but also avoid the cumulative error caused by the use of the pedestrian dead reckoning algorithm alone. The average location error is 2.5m, achieving the accurate location of underground personnel.

Cloud computing technology enabled to solve big data problems like data storage, process and data security. This paper proposed a design and implement method by cloud computing technology to build a system for proficiency testing statistics analysis. In proficiency testing system, analysis massive data and calculate a laboratory evaluation result is the core system function, through the cloud platform, integrated cloud platform resources to implement data distributed storage, numerical calculation and statistics analysis. The experimental result shows that the system deploy cost reduced than before and user experience obviously improvement on speed of system access and operation responses.

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO (Particle Swarm Optimization) to optimize the Parameters of Variable Power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

To solve problem of grain loading reliably and accurately during master-slave collaborative operation of harvester-grain transportation vehicle structure, the detection methods of loading status based on visual image are proposed in this paper. The original image of grain bin is acquired by in-vehicle. After noise is eliminated by Gaussian filter, edges of binary image are recognized with Sobel operator, and gradient map of grain and bin is obtained by non-maximal-suppression method. Straight segments of grain bin edge are acquired using line detection algorithm of randomized Hough transform, and then region of interest (ROI) is obtained through pairwise intersection points of four straight edges. Grain region is recognized through colour space conversion and threshold segmentation. Loading status of grain bin is identified by the distribution state of grain with the convex points of grain region. The system extracts clear and complete edges of grain bin and monitors grain loading status real-time and dynamically, which avoids grain scattering outside and improves master-slave collaborative operation efficiency and monitoring capability of harvester-grain transportation vehicle.

In this paper, we proposed a pedestrian information analysis system. It is consisted of the pedestrian detection module and the pedestrian tracking module. Compared with various pedestrian detection methods, the Deformable Part Model (DPM) algorithm is used to detect the pedestrians in the picture. Meanwhile, this paper proposes a pedestrian tracking method. This method uses the pedestrian detection result to calculate the pedestrian's centroid and uses the video time domain information to track the centroid. It can help us to obtain the pedestrian information that includes the pedestrian moving distance and direction. We set the count line to count the pedestrian's number and direction in this system. The experiment results show that the system we proposed can analyse pedestrians more accurately.

Against the false alarms and false negatives caused by the error of alarm threshold selection because different working conditions when the early warning device is close to the same charged body, this paper proposes self-organizing competitive neural networ modle for Identification working conditions of worker, which climbing towers, climbing slopes and horizontal walking. Firstly, acceleration sensors and barometric pressure sensors are used to collect the acceleration value and barometric data of the head during the exercise of the experimenter. Secondly, Multi-source information collaborative filtering processes data to obtain effective relative height values and obtain fitting parameters by first-order fitting. Finally, building self-organizing competitive neural network model based on parameters. This paper selects outdoor towers, slopes with a slope of about 30° and horizontal roads as experimental platforms and collect 400 sets of data for each platform. Then randomly select 900 sets of data for training, 300 sets of data for verification. The experimental results show that the accuracy of the training sample reaches 94.67%, and the accuracy of the test sample reaches 92.73%, which meets the requirements for working condition identification in the outdoor environment.

In this paper, the working principle and control requirements of the vertical injection moulding machine are introduced. In view of the shortcomings of the traditional relay control system, such as large error, low precision and difficulty in maintenance, a control system scheme of vertical injection moulding machine based on PLC is proposed, and the whole process of software and hardware design of the control system is given. It has been proved by practice that the control system has the characteristics of high speed, high efficiency, high reliability and strong anti-interference ability, and can solve the problems of traditional control scheme well, which realizes the automatic control of the whole process of injection moulding machine.

As a platform for information exchange between people and products, human-machine interface plays a more and more important role in human machine interaction. The compatibility of display and manipulation in human machine interface determines the ease of use to a large extent. Through the case study of HMI design for different products, this paper analyzes the spatial compatibility, the movement compatibility and the common measures to improve compatibility. Spatial compatibility refers to the correspondence of stimulus and response elements in physical layout on a display panel. Motion compatibility refers to the degree of correspondence between the motion effects generated by a controller and people's psychological expectations. It is pointed out that the common measures to improve the compatibility of human-machine interface are: shape coding, position coding, color coding, symbol coding, and taking into account human physiological characteristics and usage habits.

Aiming at the attitude disturbance of the airborne ground tracking system and the problem of pointing stability under high-frequency vibration, and effectively utilizing the wind power outside the cabin, a new type of airborne ground tracking simulation platform-wind pendulum control system is designed, designed to TMS320F28335 For the control system of the main control chip, the controller adopts an improved genetic PID algorithm to realize the function of rapid braking and movement according to any desired trajectory. The simulation results show that, compared with the traditional PID algorithm, the improved genetic PID algorithm can better solve the problem of chattering, overshoot and non-fast convergence in a limited time in the system. At the same time, it has strong robustness to external disturbances, and can get the full physical simulation needs of airborne ground tracking systems.

In this paper, a color image reconstruction algorithm based on digital hologram is proposed. The color image is decomposed into three primary color images, and the corresponding hologram is generated in each channel using the four step phase shift method. Then the image of each channel is reconstructed using the inverse Fourier transform, the reconstructed graph of three channels is superimposed to obtain the final color reconstruction image. The reconstructed image overcomes the zero-order image and the straight-through bright spot generated during Fresnel digital holographic image generation in the coaxial recording mode.

Cylinder linear-piston ring is the most important frication pairs in the internal combustion engine and the friction signal can reflect the characteristics of the whole tribological system. The wear test was carried out using UMT-3 tester and the friction signal was denoised via wavelet technology for the determination of chaotic characteristics by principal component, the largest Lyapunov exponent and the Kolmogorov entropy. The results indicated that chaos theory is applicable to the research of cylinder linear-piston ring wear system due to its chaotic characteristics, which is of great significance to the tribological design and the identification of the state of wear process.

For the safety of dairy products, the quality of milk (raw milk) is particularly important. Because temperature influences the number of bacteria in raw milk, the suitable temperature can make the storage time of raw milk longer. Therefore, the realization of raw milk temperature monitoring system is particularly important. The two key problems in the hardware design of the system are hardware layout and power supply design. These two problems are solved by applying TRIZ (theory of inventive problem solving) theory. TRIZ theory is through the interaction analysis between components, using physical contradictions, technical contradictions, and combined with the principle of invention, finally find the solution to the problem.

This paper analyzed the seasonal and spatial variations of Cadmium (Cd) in Jiaozhou Bay during 1984-1988. Results showed that Cd contents in Jiaozhou Bay in 1984, 1985, 1986, 1987 and 1988 were 0.06-0.20 εg L⁻¹, 0.03-0.44 εg L⁻¹, 0.01-6.48 εg L⁻¹, 0.07-0.12 εg L⁻¹, and 0.03-1.07 εg L⁻¹, respectively. The pollution levels of Cd in Jiaozhou Bay in 1984, 1985, 1986, 1987 and 1988 were Grade I, I, I-III and V, I, and I-II, respectively. The seasonal variation of Cd contents was summer > spring > autumn. The pollution level of Cd during 1984-1985 was still slight, while the pullution level during 1986-1988 was tending to be aggravating to be slight/moderate. In general, the source input of Cd to this bay was increasing during the five-year period, and the pollution level of Cd would be aggravating since the water environmental capacity was not infinite. As a whole, source control was one of the basic contourmeasures for pollution control and environmental remediation in this bay.

This article uses the methods, including literature research, questionnaire survey, mathematical statistics and other research methods, to investigate the application of education informatization in English teaching. After investigation, it has found that the restricted factors of the application of education informatization in English teaching will directly affect the quality of English teaching. Based on this, the article analyzes the factors that influence the teaching of English Informatization, and proposes several effective strategies for readers.

A method based on monocular vision guidance of autonomously and vertically landing on the ship is proposed aiming to estimate the relative pose information between the UAV and ship and to provide the important information for the follow-up flight control system. This paper mainly involves corner points extraction in the region of interest (ROI) and pose estimation based on corner points. Through collecting the self-designed feature plane images, the method extracts the target points of the ROI by using HSV space and invariant moments. Then the relative pose information based on the principle of homography matrix is estimated by the information of points. In the measurement experiment, the rotation of rotary table imitates the movement of ship. The relative pose information is estimated by extracting 12 corner points with the 800 × 600-pixel monocular camera. Experiments show that the method can achieve maximum 1.7° relative posture measurement error and 1.4% relative position measurement error. This method has good robustness and high accuracy.

The analysis of worn surface topography is an important approach to study the wear mechanism of friction pairs. The influence of mesh number of sand paper on simulated wear process was investigated based on fractal theory. The results indicate that cross-shear wear mode is appropriate for simulated wear, which is close to actual working condition and the resultant surface morphology has fractal characteristics. With the increase of the mesh number of sandpaper, the surface roughness Ra of stainless steel 0Cr18Ni9 and aluminum alloy 2A12 decreased while the fractal dimension D increased and showed a general linear relationship. However, the surface roughness Ra and fractal dimension D of the stainless steel were slightly greater than that of the aluminum alloy. Fractal dimension D may be related to the intrinsic physical properties of metallic materials and could be used to characterize the relative machinability of materials.

The unmanned tiltrotor aircraft has many flying advantages, in the meantime it brings some new problems. In order to improve the flight stability of the UAV, the simulation of flight control law reconstruction was designed based on the multi-model adaptive control theory for actuator failure. Using the principle of small disturbance, the linear model of the UAV was established. Aiming at several typical actuator failures, the reconfigurable control strategy was designed. The classical PID control method was used to design the control law structure. Simulation results show that the proposed reconfiguration control strategy can be used in unmanned tiltrotor aircraft, which has good fault-tolerant effects and can significantly improve the safety of aircraft performance.

The SURF (Speeded Up Robust Features) is one of the most commonly used artificial feature extraction algorithms and has a good robustness. SURF is widely used in image processing and machine vision. This paper introduces the implementation of SURF in a more comprehensive way, and applies it to the feature extraction of clothing images. The clothing features extracted by using SURF can be applied in clothing classification, identification, retrieval and matching in combination with machine learning method. It can also be used as input sample of deep neural network to improve classification or recognition accuracy.

Prefabricated buildings are the reorganization and optimization of related resources such as design, component production and prefabricated construction, which are the inevitable result of market selection, industry development and productivity improvement. Prefabricated overall correlation, parallel design, modular combination and generalization have transformed the construction industry from a traditional sector to an industrial sector and presented some features of informatization. On account of the limitations of BIM, the low degree of informatization of component manufacturing and key node technology research, informationization of prefabricated technology and design has not yet taken shape, which restricts informationization of prefabricated building.Overcoming the inadequacy of building an integrated information system can help modernization of the construction industry.

due to the fast and high-precision edge detection requirements of tools in projection measurement, a fast sub-pixel edge detection algorithm for tool images is proposed. The algorithm first uses the Ostu threshold to perform the background segmentation of the tool image, then uses boundary tracking to obtain the boundary points of the image, and designs the corresponding correction operator to obtain the edge information of the tool; then according to the edge gray model, the Zernike moments are used to calculate the gradient direction of the edge points, and the two-dimensional model of the edge gray is converted into the one-dimensional model, and the sub-pixel edge of the tool image can be accurately obtained by calculating the gray distribution by spline interpolation. Experimental results show that this method has better noise immunity and faster detection speed.

Although the subway greatly relieves traffic jams, the phenomenon of congestion within the subway during the peak period continues to increase. From the perspective of traffic demand management, subway time-of-day pricing can relieve peak congestion, shifting part of the passenger flow during the peak period to a low peak period, thereby improving transportation efficiency. In this paper, the dynamic flow allocation model based on timetable is studied. The timeliness of passenger route selection, the influence of congestion on passenger flow, the factors of ticket price and the penalty coefficient of early to late arrival are considered. Through the characteristics of subway operation and the method of high and low peak time-sharing pricing, the subway space-time network is established, and the influence of subway time-sharing ticket price on the passenger flow is discussed emphatically. Finally, an example is given to verify the model and algorithm of this paper.

Power flow calculation is an essential component of power network planning. The problem of its convergence adjustment has a great significance for research. This paper proposes a power flow convergence adjustment method based on a nonlinear programming model. It aims at the non-convergence problem of power flow calculation caused by reactive power imbalance. By introducing a set of slack variables into the AC/DC power flow equations, the conventional power flow calculation is converted to a nonlinear programming model with the least square sum of slack value. Based on the characteristics of node slack value and its distribution law, the power flow reactive power adjustment method and its implementation steps are established, according to the electrical distance. The actual grid planning data of a certain place in China is simulated and calculated, which verifies the effectiveness and feasibility of the method.

With the rapid growth of the domestic economy, especially the development of urbanization, the demand for transmission capacity has also increased. The existing transmission lines can no longer meet the requirements, so the development of the capacity-enhanced wires is particularly important. Stranded carbon fiber composite core wire is a new type of capacitance-enhanced wire, as a second generation carbon fiber wire, it has excellent mechanical and electrical properties. In this paper, based on the existing research results, the temperature-sag performance is calculated and analyzed, and its superior sag characteristics in the operation of the hanging net are demonstrated.

This paper serves as a survey of the utilisation of graph database in power grid system. The main idea here is to provide an in-depth insight into graph databases, analytic techniques used in these databases as well as discussing a real-world case around their usage. As the increase of communication and information asset management in power grid, the importance of database management is growing. Compared to the conventional table-based database, graph database shows distinct performance in both flexibility and data visualization. In the following parts, the relationship between graph database and power grid will be discussed in three perspectives: 1) Nodes as Grid Points; 2) Relationships and Grid Lines; and 3) Highly Flexible, Rapidly Indexed and Visually Clear. Also, this paper will talk about the limitations of it.

The evaluation of led lamp life has always been a difficult problem. This paper proposes a fuzzy comprehensive evaluation of rough set theory. The results show that the method can quickly and accurately judge the four factors that affect the LED light source, driving power supply, heat dissipation system and use environment of LED lamps and lanterns.

Overload problems of distribution transformers frequently occur in distribution networks. To avoid the in-advertent effect on the networks and take corresponding measures, the association rules are used to analyze the heavy overload phenomenon of distribution transformers. For the operation of the distribution network, it is very important to study the strong association rules between the heavy overload phenomenon of the transformer in different areas and the seasons, weather and holidays. In this paper, the data preprocessing of heavy overload data and other data of transformer network is first processed, and then a data mining model is established. Finally, the strong association rules of heavy overload are found by using Apriori algorithm. The strong association rules can be used to guide the operation of regional distribution network and avoid the influence of heavy load overload on power supply reliability.

The intellectualization level and information level of the secondary equipment in the intelligent substation have been greatly improved, which is of great significance for the normal operation of the power system. However, the secondary equipment will generate a lot of redundant alarms information in the EMS system. These alarms are not conducive to finding equipment faults, and there is a lack of an active maintenance method for secondary equipment. In this paper, an intelligent analysis method of EMS alarm information is proposed. This method can find fault alarm information accurately, and we used the actual data of intelligent substation to verify it. A status evaluation method for the secondary equipment is also proposed. The method can be used for early warning of equipment failure and efficient operation and maintenance.

A short-term load forecasting method considering meteorological factors and electric vehicles is essential to the successful operation of the power system. This paper proposes a unique short-term load forecasting method based on neural network. First, through the analysis of typical daily load data, it is demonstrated that the short-term load data changes with the daily, weekly, weather type and the charging of electric vehicles. Then, the load forecasting model based on the neural network is set up with historical data, meteorological data and electric vehicle charging data as input. Finally, the prediction model is simulated to improve the accuracy of load forecasting.

Induction motor (IM) is used in many modern industrial applications such as fans, blowers and pumps and so on. Inrush current and torque pulsation exist when IMs starts. IM terminal voltage is reduced by three pairs of anti-parallel thristors to fed IM in traditional soft starter. Therefore, a novel fuzzy PID strategy for the soft starting of induction motors has been proposed in the paper. Based on this strategy the Simulink model of soft starter is implemented in Matlab/Simulink. The results of simulation experiments show that this way is practical.

With the development of mobile Internet and the popularity of smartphones, the mobile phone has become the preferred tool for farmers to get information online instead of computers. Therefore, the use of mobile phone to solve the information transmission "last kilometer" problem, will be the most convenient and efficient way. On the basis of possessing a large quantity of high quality agricultural information resources, this paper makes deep processing of information, at the same time, based on mobile terminals, collects the multidimensional factors such as real-time situation information, user history browsing behavior and interest, expands vector space model, designs the agricultural information recommendation algorithm of situational perception and interest adaptation. Finally, the research and development of agricultural information recommendation system is realized. This system will provide farmers with accurate agricultural science and technology information and expert intelligence to meet the needs of thousands of people.

The object detection approaches in conjunction with Fast/Faster R-CNN and YOLO have shown the benchmarking performance on several occasions. Inspired by the Refine Net, we propose a new model called Faster+ R-CNN based on Faster R-CNN, which is mainly based on iterative refinement on the proposed regions. The Faster+ R-CNN model can iteratively refine the region proposal based on previous output. We trained and tested our new model on PASCAL VOC 2007 dataset, and experiments showed that our method can iteratively improve the mean average precision (mAP) from 0.6702 to 0.6764 in object detecting task. We also demonstrate the facial detection results using the Faster+ R-CNN on the widely used Face Detection Dataset and Benchmark (FDDB) benchmark. By training the Faster+ R-CNN model on the large scale WIDER face dataset, we report the improved results on two widely used face detection benchmarks including FDDB.

BIT technology is an important means to detect, locate and isolate faults of system and equipment. In this paper, the digital NBC protection system is taken as the research object, and the on-line state detection method based on BIT technology is studied. The system structure division and analysis of typical fault mode have been done. The design flow of online state monitoring based on BIT technology is presented. A weighted cost indicator function is constructed. This paper also presents a selection method for selecting the optimal test set based on improved specially-stepwise optimal selection method for digital NBC protection system. From the theoretical point of view, the system typical fault mode is extracted and the BIT design objective is set, and finally, the optimal BIT design scheme is determined.

Intelligent transportation control is an important part of the entire transportation system, and low-carbon transportation is the ultimate goal of urban transportation development. Realizing the balance of supply and demand of intelligent transportation control in metropolis is one of the strategic means to build a low-carbon intelligent transportation in metropolis. The paper collects a time series related traffic data during the ten years of the metropolis, combined with the knowledge of systems engineering and economics, and constructs the supply and demand system model to the traffic volume of metropolitan intelligent control transportation; different vehicle costs and the marginal benefit of private transportation are both analysed accordingly. Modelling and systematic analysis of marginal cost, marginal revenue and marginal cost of public transportation are adopted to conduct optimal traffic volume of urban roads, with a view to constructing a low-carbon intelligent traffic model for metropolis from the perspective of supply and demand. Macro-control strategies for urban low-carbon intelligent traffic control are provided accordingly.

In order to overcome the disadvantages of poor global search ability, slow convergence speed and easy to fall into local minimum in the traditional BP neural network in image denoising, a hybrid ACO-LMBP neural network image denoising algorithm based on ant colony algorithm and LMBP algorithm is proposed. ACO-LMBP hybrid neural network algorithm has both the high speed of LMBP algorithm and the global nature of ACO algorithm. It can improve the problems of BP algorithm model very well. By comparing with the image denoising effect of Wiener filtering, BP, LMBP and PSO-LMBP model, the denoising model using the ACO-LMBP neural network algorithm has better denoising effect.

With the rise of the population of blind people in the world, it's necessary to design a more useful cane for them to get the way. Cane is a tool that can serve as the third leg of the old people and the handicapped. With the help of our system, it also can used to sense the enviroment for the blind people, serving as the third eye. The cane that we design can detect the obstacle barriers and holes, and the other function is to remind blind people of walking in the blind sidewalk. We produce the cane with different alert sounds on the basis of the distance between the obstacles and the depth of the holes. The distance of the obstacles that we consider is from 200 cm to 2 cm. And the depth of the hole is from 50 cm to 10 cm. Depending on the distance to the obstacles and the depth of the holes, the buzzers emits a warning sound of different frequencies, thus we could remind the people of noticing the obstacles and holes. What's more, it can direct the blind people to walk down the blind sidewalk with the speech prompt module.

The situation of the reverse distribution of energy resources and load center in China determines that UHV transmission technology has a wide application space in China.^[1]With the increasing size of UHV transmission line construction, the application of welding technology for UHV steel tube tower is becoming more and more important, and the training of welding technology is accompanied by the use of a large number of consumables. China vigorously promoted the research and construction of AC and DC transmission technology in order to ensure the optimal allocation of energy resources in a large scale^[2].In order to further save the cost, this paper combines the increasingly mature virtual reality 3D technology, and applies the simulation training system to the system. In the training of MIG (MAG) welding skill of power grid steel structure, the characteristics and training flow of welding simulation training are introduced, and the application effect of the simulation training system is summarized. By constantly exploring new welding training mode, improving the shortcomings of traditional welding training and improving the overall training effect of welding workers.

The development of resource-based cities in China is mainly based on the development of local resources and as the main pillar enterprises of urban development. However, this resource is mostly non-renewable resources, and with the continuous exploitation and utilization of human beings, the resources they have are bound to be exhausted. And industries that rely on resources for development will also decline. Bring about the decrease of city economy income, personnel unemployed etc. Facing this situation, we must be ready to transform and find new development paths. In anhui province is the main coal resources on the case of resource-based cities, it holds coal resources provides a great convenience to the development of early cities, coal resource is not renewable resources, however, so in order to be able to make the huainan towards sustainable development path. We need to analyze the current industrial structure of huainan and analyze its advantages and disadvantages in the development process so as to find new ways for its development.

To explore soil physical property improvement of different plant communities in mountainous area of middle Shandong province, influences of 11 local plant communities on soil particle composition and particle size distribution were studied based on the soil fractal theory and method. First, relative weight contents of different sizes of soil particles were tested by mechanical sieving method. Second, fractal dimension of soil particles were calculated according to mass of soil particles. Results show that: soil particle size under different plant communities ranges between 0.25-1.0mm and the soil structure of stands is significantly better than that of slope wasteland. D of 11 plant communities is between 2.0044-2.4925, showing that mixed forest > pure forest > economic forest > farmland > slope wasteland. Moreover they are most sensitive to soil particles (< 0.05mm), showing an evident linear positive correlation (R² = 0.901).The experiment results can provide theoretical references and technical supports to tree species selection and stand structural configuration during vegetation recovery and reconstruction in mountainous area of middle Shandong province.

Rapid detection technology of food microorganisms is more and more a hot research topic in the field of agricultural, food safety and environmental sciences. In order to understand the current status of world-wide research on rapid detection technology of food microorganisms, research literature during the period of 1925-2018 was retrieved from the Science Citation Index Expanded (SCIE) database and analyzed using bibliometrics. Results showed that rapid microbial detection has entered the rapid growth phase after its forming phase and the initial phase. America enjoys absolute advantages in this field. China, Germany and Spain are also countries with relatively strong competitiveness. CSIC has the largest number of relevant published papers, while the papers from CNRS and INRA are the most influential ones. International Journal of Food Microbiology is the core journal that published the largest number of relevant papers, while Biosensors & Bioelectronics is the most influential relevant journal. Food Science and Technology is the subject of the most importance in this field. Biotechnology & Applied Microbiology and Microbiology are also significantly relevant. Researches in this field focus the most on relevant technologies on Molecular Biology, second on the technologies on Immune method and biosensors rank second, and the least on the technologies on metabolic methods. Sustainability has been seen in a part of the hot research topics, and new hot topics have also emerged. These results provide important insights to the development of rapid detection technology of food microorganisms in our country.

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022