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From the emergence of the concept of the Internet of Things to today, China has always been very concerned about the development of the Internet of Things technology. The research and application of Internet of Things technology has become an important measure for the country to promote supply-side reform. The Internet of Things technology is the core innovation content of the country and an important measure to realize the smart city. This paper analyzes the cutting-edge research results in the field of Internet of Things abroad. This paper focuses on the application of IoT technology in English terminology research. This paper specifically analyzes the feature extraction methods of Internet of Things terms and studies the application content of Internet of Things technology in English-Chinese translation. We specifically conduct translation research on the content in "The Internet of Things: Enabling Technologies, Platforms, and Use Cases," focusing on the translation of scientific and technological terms. As a kind of technical English terminology, IoT English terminology has the characteristics of strong professionalism and rigorous semantics. This article specifically translates the original part of the practice report and classifies the terms that appear in it, including IoT English terms for which canonical translations have been made and IoT English terms that do not have standardized translations. The research will further carry out the investigation and analysis work. The research is to identify the terms that have standardized translation, especially the detailed research of the terms of the industry field. This paper selects standard translations and summarizes the translation methods of terms from three aspects: abbreviations, compound words, and semi-technical words. The research results provide guidance for terminology translation. This article translates terms that do not yet have a canonical translation. Based on terminology characteristics and existing terminology translation methods, this paper proposes a variety of translation methods such as literal translation, decomposing and combining, and non-translation. The study described in detail with examples. The research results of this paper are expected to provide some reference for translators engaged in the translation of scientific and technological documents. [ABSTRACT FROM AUTHOR]

With the advent of the era of Industry 4.0, big data and the Internet of Things came into being. The rise of big data and the Internet of Things has had an impact on all walks of life. The development of big data and the Internet of Things provides an opportunity for the evolution of street form. With the rapid development of smart cities, the street shape is also changing more and more towards the direction of intelligence. Taking Chunxi Road in Chengdu as an example, this paper studies the generation mechanism of street morphology. The factors influencing the generation of street form are divided into two categories: (1) legal factors. (2) Architectural design factors. By building a model, the article quantitatively analyzes the impact of these two types of factors on street form. At the same time, the article conducts an in-depth study on the evolution of ancient Chinese street morphology. The ancient Chinese street form is divided into four stages, namely the Tang and Song Dynasties, the Yuan, Ming and Qing Dynasties, the Late Qing Dynasty, and the founding of New China. The influencing factors of street shape are divided into four categories, namely, the influence of commodity economy, the influence of foreign culture, the influence of building materials, and the influence of traffic. This paper elaborates the influence mechanism of these four factors on the street form in China. The article finally puts forward the development trend of my country's future street form, and points out that the evolution of my country's street form will develop in the direction of intelligence, and intelligent transportation, intelligent garbage classification system, etc. will be applied. The number of brick-and-mortar stores in my country's street layout may decrease. [ABSTRACT FROM AUTHOR]

Domestic wastewater is one of the major carbon sources that cannot be ignored by human society. Against the background of carbon peaking & carbon neutrality (Double Carbon) goals, the continuous urbanization has put heavy pressure on urban drainage systems. Nevertheless, the complex subjective and objective conditions of drainage systems restrict the field monitoring, measurement, and analysis of drainage systems, which has become a great obstacle to the study of carbon emissions from drainage system. In this paper, 3389 sensor terminals of Internet of Things (IoT) are used to build a field monitoring IoT for urban domestic wastewater methane (CH 4 ) carbon emission, with 21 main districts of Chongqing Municipality in China as the study area. Incorporating Fick's law of diffusion, this field monitoring IoT derives a measurement model for methane carbon emissions based on measured concentrations, and solves the problems of long-term and stable monitoring and measurement of methane gas in complex underground environment. With GIS spatio-temporal analysis used to analyze the spatial and temporal evolution patterns of carbon emissions from septic tanks in drainage systems, it successfully reveals the spatial and temporal distribution of methane carbon emissions from drainage systems in different seasons, as well as the relationship between methane carbon emissions from drainage systems and the latitude of direct sunlight. Applying the DTW method, it quantifies the stability of methane monitoring in drainage systems and evaluates the effects of Sampling Frequency (SF) and Number of Devices Terminal (NDT) on the stability of methane monitoring. Consequently, an intelligent management system for carbon emissions from urban domestic wastewater is constructed on the base of IoT, which integrates methane monitoring, measurement and analysis in septic tanks of drainage systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

This study investigates the positive coupling between the sports industry and tourism, exploring the ways to promote their interconnection. Under state guidance, the integration of sports industry services is facilitated to attract sports culture and tourism fairs, leveraging regional economic development advantages to enhance the industrial market appeal. The emerging leisure consumption mode of sports tourism injects vitality into the economy, fostering the core sports service industry. The coupling of the education and tourism sectors is strategically aligned with long-term national policies. Using IoT technology, this paper employs a grey relational analysis to assess the coupling between the sports industry and tourism, revealing a significant correlation. Experimental results demonstrate a positive coupling trend, likened to conjoined twins with a natural material basis and technical support. This coupling not only aligns with industry trends but also resonates with the "environmental protection era," "green era," and "ecological era," marking a pivotal aspect of industrial development. The study contributes valuable insights into the symbiotic relationship between the sports and tourism industries, emphasizing their interconnectedness and the positive implications for economic and environmental sustainability., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Hu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Since the first fully homomorphic encryption scheme was published in 2009, many papers have been published on fully homomorphic encryption and its applications. Machine learning is one of the most interesting applications and has drawn a lot of attention from researchers. To better represent and understand the field of Homomorphic Encryption in Machine Learning (HEML), this paper utilizes automated citation and topic analysis to characterize the HEML research literature over the years and provide the bibliometrics assessments for this burgeoning field. This is conducted by using a bibliometric statistical analysis approach. We make use of web-based literature databases and automated tools to present the development of HEML. This allows us to target several popular topics for in-depth discussion. To achieve these goals, we have chosen the well-established Scopus literature database and analyzed them through keyword counts and Scopus relevance searches. The results show a relative increase in the number of papers published each year that involve both homomorphic cryptography and machine learning. Using text mining of articles titles, we have found that cloud computing is a popular topic in this field, which also includes neural networks, big data, and the Internet of Things. The analysis results show that China, the US, and India have generated almost half of all the research contributions in HEML. The citation statistics, keyword statistics, and topic analyses give us a quick overview of the development of the field, which can be of great help to new researchers. It is also possible to apply our methodology to other research areas, and we see great value in this approach. [ABSTRACT FROM AUTHOR]

The integrated application of building information modeling (BIM) and big data (BD) has received widespread attention, and has been involved in smart construction sites, construction project management, and construction project budgeting. Nevertheless, research on the integrated implementation of BIM and BD in China mainly concentrates on a project stage or profession, the exploration of technology integration mostly focuses on the theoretical level, and the research distribution is scattered. As such, the intention of this paper is to reveal the research history of BIM and BD in China, as well as to study the research methodologies and research fields for a more thorough knowledge of the BIM and BD research and development status in the Chinese construction sector, which adopts a mixed research method that uses a quantitative research via two analytical software tools, i.e., CiteSpace version of 6.1.R6 and the Statistical Analysis Toolkit on line edition for Informetrics software packages, to conduct a macro bibliometric analysis on BIM and BD research in the China National Knowledge Infrastructure database, and provides a follow-up micro qualitative research with content analysis. To ensure the comprehensiveness of the research, the core articles of the topic in the web of science database have been sorted out and analyzed for fully understanding the development of BIM and BD in the field of Chinese construction, resulting in identifying the current research hotspots and trends in China. The results suggest that the popular research keywords on BIM and BD in China since the year 2015 have mainly been focused on informatization, the internet of things, and rail transportation. Three fruitful research themes in BIM and BD research in China have been identified, including smart construction, smart operation, and bridge informatization. [ABSTRACT FROM AUTHOR]

In order to realize the research on vital signs monitoring based on the Internet of things, in view of the urgent needs for mobile health and universal medical treatment in China, this paper puts forward the platform design and implementation of exercise parameter health management and detection terminal based on the Internet of things. Firstly, the overall architecture of the exercise heart rate monitoring system is designed, and the design of the heart rate acquisition module is also put forward, in order to monitor human heart rate data conveniently, quickly, and in real time, considering the portability and low power consumption of the system, a wearable heart rate real-time monitoring system is designed in this paper. The experimental results show that the maximum individual average heart rate difference is 4.11 bpm and the overall average heart rate difference is 2.24 bpm. After processing with the adaptive hybrid filtering algorithm, the maximum individual average heart rate difference is 0.69 bpm, and the overall average heart rate difference is 0.42 bpm. The average standard deviation of the difference between the 10 groups of measured values and reference values with and without the filtering algorithm is 0.304 and 2.788, respectively, which is about 9 times higher. The accuracy and stability of the filtering algorithm are greatly improved. The whole system can run well and can be applied to practical sports training guidance. [ABSTRACT FROM AUTHOR]

IoT networks and Teaching System have attracted much attention from researchers of industry and academia. As a typical application of IoT tworks and Teaching System, the system studied in this paper is a three-way platform for IoT technology, language teaching methods, and language teaching quality is incorporated into the framework of language teaching system. Based on the current stage of language teaching methods in China and its digital needs, the role of IoT-based language teaching models on language teaching quality improvement is investigated by establishing an IoT language teaching model and using conventional comparison methods to compare conventional language teaching quality improvement models with language teaching models based on IoT platforms to consider the impact of IoT technology on language teaching quality improvement. The results show that in the educational context where digitalization and intelligence are the trends, the intelligent language teaching model integrating IoT technology is much better than the language teaching model under the conventional model in terms of teaching quality, and through IoT technology, more language enthusiasts can become language learners and improve their learning ability. The work in this paper provides an important application guidance to IoT networks and Teaching System. [ABSTRACT FROM AUTHOR]

In the global interconnected economy, China-made information-collecting technologies such as closed-circuit television (CCTV) surveillance cameras have become popular products for routine video-based surveillance. Hikvision and Dahua are the two largest global suppliers of CCTV cameras, with both companies supplying their products to over 200 countries. Despite their popularity, national security concerns are commonly cited when adopting these cameras, citing manufacturer links with the Communist Party of China (CPC), cybersecurity vulnerabilities, and sales recorded in the Xinjiang region, that has records of human rights violations. This paper is structured in three parts: first, we explore the predominance of China-made information-gathering technologies in Australia; second, we summarise common national security concerns usually associated with China-based technology manufacturers; and third, we propose regulatory measures to regulating China-made CCTV cameras in Australia. The paper suggests that while state and Federal decision-makers are free to remove Chinese CCTV surveillance cameras, they should avoid overt politisation. Overall, a stronger focus should be placed on evaluating cybersecurity risks of Internet of Things (IoT) information-collecting technologies and considering their timely and effective regulation from the perspective of individual and national interests. [ABSTRACT FROM AUTHOR]

Since entering the new century, people's living standards have been continuously improved, living conditions have been continuously improved, which is the embodiment of the improvement of the country's comprehensive strength, the increase in national strength has made the development of sports faster and faster, and the annual output value of sports is also increasing year by year. However, there are still many places that do not pay attention to practical content; in view of these problems, we use the Internet technology to collect and analyze the data of sports practice teaching; in this chapter paper, we use the 2SPLM observation matrix method and CS-MDGA algorithm, so that the collected sports practice teaching data is more quick and convenient to be analyzed. This paper also uses a large number of chart data to confirm the correctness and accuracy of their views, making the paper more reliable. The study shows that the teaching of physical education in China is increasing year by year, indicating that the teaching of physical practice in China is developing in a better direction. The mathematical modeling in the abstract section of the article uses computational methods such as constrained nonnegative matrix decomposition and constrained nonnegative matrix decomposition model optimization algorithm that integrates external information for research. [ABSTRACT FROM AUTHOR]

The paper measures the income distribution effects and welfare effects of VAT itself based on Chip2013 household income and expenditure microdata using the Gini coefficient, Suits index, and Theil index from the perspective of annual income and lifetime income, respectively, and the effective VAT rate. Taking provinces as the basic research unit, we use the first-right method, LISA time path, and Spatiotemporal leap to evaluate China's well-being level from 2010 to 2020 and analyze its Spatiotemporal dynamic characteristics. At present, most countries adopt a tax rate model with 1∼3 bands. The current VAT rate structure is "13% + 9% + 6%," which is in line with the international development trend. In the data preprocessing module, the HTTP(S) responses of non-IoT devices are first filtered out and then the text that may contain device information is extracted from the remaining HTTP(S) responses by integrating multidimensional features, and finally, the irrelevant strings in the text are filtered out. At the end of the paper, simulation experiments are designed to verify the function and performance of the identification information extraction system for this heritage connected device, and the results verify that the model identification method in this paper can achieve better identification results compared with existing methods. The results verify that the model recognition method in this paper can achieve better recognition results compared with existing methods. [ABSTRACT FROM AUTHOR]

The demand for energy in factories is huge. With abundant energy supply, factories can raise their production capacity to a new height. Energy is the material basis of domestic economic development. As the largest developing country in the world, energy shortage has become an urgent problem for China. In this paper, an Internet of Things based on big data ecosystem is proposed to analyze the energy consumption of the factory and build a model. The Internet of Things technology of big data ecosystem can be summarized as a technology that uses information sensing devices to complete the transaction and network connection according to the protocol content. A total of 853,000 power distribution operations were carried out in the power grid. In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. Compared with the three methods, the method in this paper increased by 37.9% year-on-year and reduced the power outage by 2.63 million households, which is equivalent to a corresponding reduction of 35 users per operation. The functional requirements of the IoT energy consumption analysis system in factories based on big data ecosystem are reflected in three aspects: energy consumption monitoring and management, power control and management, and energy consumption supervision and analysis. Based on the management of energy consumption monitoring and power control through the software platform, the functional requirements of the system are analyzed. [ABSTRACT FROM AUTHOR]

China's information technology development is rapid; the organic combination of science and technology and education has promoted the reform of the education system; the education platform supplemented by mobile devices provides students with a new learning mode; student learning is no longer limited by the traditional education system; and learners can use mobile terminals for online learning, self-control learning steps, arrange learning time, and be able to combine their own deficiencies to strengthen learning content. Therefore, this paper discusses the design of English education teaching system in the Internet of Things technology environment, in order to provide students with a good learning environment and improve students' English integration strength. This paper analyzes the research status of mobile learning at home and abroad, expounds the construction principles of mobile English learning system, and designs and studies the overall structure and functional modules of the system. The application of the system can replace the traditional English learning method and can enable students to improve their English ability through mobile devices. In view of the problems of poor teaching effect and high energy consumption in the traditional Internet of Things education platform, this paper puts forward a teaching effect evaluation method of Internet of Things education platform based on long-term memory network. By analyzing the current situation of the Internet of Things education platform, including its development and structure, this paper constructs the evaluation model of the combination of long-term memory neural network model and gray model and realizes the evaluation of the teaching effect of the Internet of Things education platform. Finally, through the study of the model, the teaching effect of the Internet of Things education platform is evaluated. The experimental results show that when the method is used to evaluate the teaching effect, the operating energy consumption accounts for 84% of the total energy consumption of the system, which proves the effectiveness of the method. [ABSTRACT FROM AUTHOR]

Since the reform and opening, China's economy has grown rapidly, and people's living standards have improved significantly. As one of the most effective ways to implement national fitness, square dance has gradually become the main lifestyle of urban communities, an important part of China's sports construction, and an important indicator to reflect the fitness of the masses and the construction of a well-off society in an all-round way. On the other hand, with the rapid development of internet of things technology, many people can use intelligent bracelets based on machine learning technology to realize motion detection. This technology is also applicable in square dance, which is of great significance to exercise and protect health. This paper first reviews the research status of the internet of things communication protocol and cloud platform, then introduces and analyzes the MQTT communication protocol and Netty high-performance network framework, and studies the integration technology of the internet of things and machine learning. Then, according to the characteristics of the internet of things, a scheme to realize data preprocessing is proposed. The value to be completed is calculated based on the correlation of other attributes corresponding to the k-nearest neighbor model (KNN) and the regression model. Finally, the machine learning algorithm is used to train the results of the three models to obtain the final filling value. The whole scheme design allows the machine learning algorithm to obtain relatively high-quality data in the internal environment. This paper designs a sports monitoring data system for square dance by combining machine learning and internet of things technology, so as to promote national fitness. [ABSTRACT FROM AUTHOR]

With the continuous development of social economy and the continuous improvement of people's ideological level, the state and social people have given more and more care and assistance to the disadvantaged group of disabled persons. The construction of a public service cloud platform for the disabled is one of the important measures to protect the human rights of the disabled and improve the lives of the disabled. According to the statistics of the China Disabled Persons' Federation, since the twentieth century, with the acceleration of the equalization of basic public services and the establishment of urban and rural social security systems, a practical and effective public service system for the disabled has made leaps and bounds. The construction of the cloud platform for public services for the disabled is an important branch of the construction of the public service system for the disabled. However, due to the late development of the construction of the cloud platform for public services for the disabled in China, it is not perfect, and there are still some problems to be solved. This paper mainly studies the public service cloud platform for the disabled based on the big data management model of the Internet of Things. Based on this research theme, this paper conducts a service response efficiency test for the disabled provided by the disabled public service cloud platform based on the big data management model of the Internet of Things. It concluded that the public service cloud platform for the disabled based on the big data management model of the Internet of Things has improved the response efficiency of providing services for the disabled by 57%. [ABSTRACT FROM AUTHOR]

With the economic development in recent years and the holding of the 2022 Winter Olympics, ice and snow sports have been widely popularized and promoted around the world. More and more outdoor sportsmen are appearing, and the movement is an extremely intense outdoor sport, so it is very popular among outdoor enthusiasts, but physical injuries can easily occur during exercise. Therefore, aiming at this problem, this paper studies the extraction system of the movement technical indicators. This paper is aimed at studying the extraction system of the movement technical indicators based on the Internet of Things. This paper proposes the development of the Internet of Things and the importance of the movement sports, describes the concepts of the two in detail, and proposes a wireless sensor network method using Internet of Things. The experimental results show that the average opening percentage of Chinese ski resorts in 2016 was around 8.5%. By 2021, the opening percentage of Chinese ski resorts will reach a maximum of around 37%. It can be seen that China is paying more and more attention to the movement sports, and the development of the movement is becoming more and more important. From the data in Table 4, it can be seen that 50 ice and snow sports enthusiasts believe that the favorable influence of ice and snow sports is that people can understand the ice and snow culture and make it inheritable. This can improve people's physical fitness and is conducive to healthy development. [ABSTRACT FROM AUTHOR]

With the rapid development of information processing, storage, and transmission technologies, the demand for talents from all walks of life in the society has increased, which has put forward higher requirements for the diversity of Chinese higher education. In China's higher education, undergraduate education is in a fundamental position. China's undergraduate education has undergone several reforms in talent training, but there are still many problems in the innovative talent training model. With the gradual improvement of the Internet of Things infrastructure, various applications characterized by big data are deeply embedded in people's daily life. In the era of big data, the amount of data is larger and the structure is more complex. It penetrates into all fields of human life and shows unprecedented vitality and vigor. Especially in the field of higher education, the era of big data provides more information resources for education and learning and also brings new opportunities for the cultivation of applied talents in local undergraduate colleges and universities. This paper deeply studies the training mode of applied talents in local undergraduate colleges and universities under the background of big data and the Internet of Things. Based on the data analysis results of big data application technicians and industry talents, professional ability-course structure data, this paper completes the design of the corresponding talent training mode analysis system. Under the application of the system designed in this paper, it is possible to realize the analysis of the differences in the knowledge structure requirements of talents in various positions and the needs of talents' ability, as well as the optimization and reform of the talent training curriculum system. The design of this paper can play an important guiding role in talent training in the environment of big data and Internet of Things. [ABSTRACT FROM AUTHOR]

The traditional college physical education platform can only assist classroom teaching and cannot collect classroom teaching activity data in real time, and its role is very limited. With the rapid development of information technology, China's mobile communication has entered the 5G era and the Internet of Things technology will be more widely used and developed. This paper focuses on the integration technology of 5G and the Internet of Things, analyzes the current situation of the construction of the physical education platform in colleges and universities, and proposes the application of the 5G-based Internet of Things technology in the physical education platform. At the same time, the research of this paper is oriented to real-time physical education activities, using the Internet of Things technology and wireless network technology, combined with the traditional campus network and IT information technology means, to propose a new, dynamic, and open sports network teaching platform design. Activity data collection, analysis, modeling, mining, display, feedback, self-improvement, etc. are expounded. At the same time, the realization technology of the model is discussed, and the experimental design of the combination of the platform and volleyball sports teaching is carried out. The experiment shows that through the platform, simulation can better promote students' understanding, mastery, and application of basic techniques such as passing, padding, and serving. The research results show that the platform can make the teaching content intuitive and collect teaching activity data in real time. The interaction between students is helpful for teachers to strengthen the guidance of students' learning process and improve the quality of physical education in higher vocational education. [ABSTRACT FROM AUTHOR]

In the Internet era, traditional performance management has failed to satisfy the modern enterprise development; therefore, enterprises must achieve timely innovation and improvement of performance management. The application of performance management in state-owned firms promotes employee motivation and skill development, as well as the development of innovative thinking. Performance effect, therefore, on the role of management in the state-owned enterprise development is bigger, especially because of the influence of traditional human resources performance management mode. The further development of state-owned enterprise resource management work affected the operation and management of state-owned enterprises. Therefore, state-owned enterprises must further optimize the path of performance management, to achieve its fine development. In view of this, this paper deeply analyzes the problems existing in the current performance management of state-owned enterprises and puts forward optimization methods for the problems, aiming at providing help for the optimization of the performance management of state-owned enterprises. In essence, a value network is a value symbiosis system between firms that involves resource sharing, value cocreation, risk sharing, and benefit win-win situations. The formation and development of value network not only extremely change the industrial structure and mode of production, but also have an important impact on enterprise innovation mechanism. Enterprise innovation under the value network system has become the focus of academic and business circles. With the rapid development of machine learning and internet of things (IOT) technologies, as well as China's urbanization, China's agriculture is embracing new development opportunities. Using artificial intelligence (AI) technology to effectively mine agricultural big data and realize effective control and management of intelligent agriculture has become a research hotspot and difficulty. Based on recurrent neural network (RNN) and IOT technology, this paper proposes an enterprise network innovation performance management path optimization system. [ABSTRACT FROM AUTHOR]

With the widespread application of IoT technology in the world, the new industry of IoT finance has emerged. Under this new business model, commercial banks and other financial institutions can realize safer and more convenient financial services such as payment, financing and asset management through the application of IoT technology and communication network technology. In the cloud computing model, the local terminal device of IOT will transmit the collected data to the cloud server through the network, and the cloud server will complete the data operation. Cloud computing model can well solve the problem of poor performance of IoT devices, but with the increasing number of IoT terminal devices and huge number of devices accessing the network, cloud computing model is constrained by network bandwidth and performance bottleneck, which brings a series of problems such as high latency, poor real-time and low security. In this paper, based on the new industry of IoT finance which is developing rapidly, we construct a POT (Peaks Over Threshold) over threshold model to empirically analyze the operational risk of commercial banks by using the risk loss data of commercial banks, and estimate the corresponding ES values by using the control variables method to measure the operational risk of traditional commercial banks and IoT finance respectively, and compare the total ES values of the two. This paper adopts the control variable method to reduce the frequency of each type of loss events of operational risk of commercial banks in China respectively. [ABSTRACT FROM AUTHOR]

Taking China's "Chengde Petroleum College" as an example, this paper analyzes the current situation of computer room monitoring in colleges and universities. The Internet of Things technology is used to remotely and automatically monitor the environment of the network computer room. This paper studies and puts forward the method and model of edge calculation in the network computer room monitoring system. The monitoring methods of critical parameters such as thermal environment and energy consumption of computer room are given. The practical application shows that, compared with the historical data in the same period, the energy saving rate of the scheme is as high as 15% ~ 27%, and has good market promotion value. [ABSTRACT FROM AUTHOR]

Internet of things technology began to spread to all industries of our lives; the application of medical internet of things in many hospitals highlighted its advantages and brought a lot of convenience to patients and medical staff. With the continuous progress of China's medical reform and the continuous improvement of patients' requirements for medical service quality, this paper discusses the application of medical internet of things in clinical nursing in ward, and the basic information collection, infusion, and mobile nursing were discussed and studied. Through the parallel control study of the laboratory itself, this paper evaluates whether the two different clinical measurement methods of medical internet of things technology and traditional technology are consistent in body temperature, pulse, respiration, and blood oxygen saturation. At the same time, it also deeply studies the value and advantages of internet of things technology in the application of other monitoring indicators in clinical nursing and analyses the problems in its application. The experimental data show that the two measurement methods with different principles can be completely replaced in clinical application, and the time efficiency of the new clinical nursing method under the medical internet of things technology in mapping body temperature, pulse, and respiration has been improved by 76.20% and 72.02%, respectively, surpassing the traditional information technology and realizing the intelligent, automatic, and standardized data acquisition method. It ensures the authenticity of data and the real-time of information flow and meets the needs of resource sharing and medical regional interconnection. [ABSTRACT FROM AUTHOR]

Purpose: In the field of business, digital transformation is the integration of digital technology into all areas of business, from generating to deliver value to customers. This concept is essential for sustainable growth of a company and its overall economy. Based on this fact, this authentic and informative research is conducted whose major aim is to examine the importance of digital transformation within a business through big data, the Internet of things and blockchain-based capabilities for overall strategic performance within the telecom sector in China. Design/methodology/approach: For that aim, data quality and technology competence are considered as independent variables, strategic performance as dependent variable and big data analytics capabilities, Internet of things capabilities and blockchain capabilities routinization acted as mediators within this paper. In its data collection mechanism, an online survey was conducted in which questionnaires are randomly distributed to the telecom sector's professionals in which only 343 of them gave their valid outcomes. After collecting primary data, confirmatory factor analysis (CFA) and structural equation modeling (SEM)–based statistical outcomes have been generated. Findings: Results indicate that there is a significant relationship between data quality and strategic performance and between technological competence and strategic performance. Also, the big data analytics and Internet of Things capabilities acted as significant mediating role between both independent and dependent variables. But blockchain capabilities routinization is that variable that acts as an insignificant mediator between independent and dependent variables' relationship. Originality/value: Overall, this study is an informative and attractive source for the Chinese government, its telecom industry, administrative body and related ones to understand the importance of such IT capabilities' implications within their operating activities for their strategic performance management. Also, related field scholars can utilize its reliable data in their research analysis. Its major limitations are (1) lack of qualitative/ mixed method of research and (2) lack of comparative analysis that may impact the acceptability factor of this paper, and this weakness can be overcome by upcoming scholars in their research. [ABSTRACT FROM AUTHOR]

Enterprises in China are extensively involved in collaborative virtual enterprise (VE) supported by the internet of things (IoT). This paper investigates the effects of member enterprises' resource occupation on performance of the IoT-based VE, and examines how such effects are moderated by decision authority decentralisation. We obtained the research data from a survey administered to 141 small- and medium-sized enterprises (SMEs) that participate in IoT-based VEs. Hierarchical regression analysis was adopted to test the proposed hypotheses. Our findings suggest that information and operational resources are positively associated with both business and market performance. Strategic decision authority decentralised to SMEs with superior information or operational resources enhances the overall performance, whereas decentralisation of operational decision authority facilitates the positive effects of operational resource on performance. Our study provides directive guidance for IoT-based VEs to cultivate and acquire specific superior resources, and allocate decision authorities reasonably for effective resource utilisation and collaboration. [ABSTRACT FROM AUTHOR]

Emerging Internet of things (IoT) technologies are enhancing the value of traceability information in reshaping organic food consumption behaviours. However, the best ways to measure consumers' perceptions of the quality of traceability information remains uninvestigated. This paper explores the perceived quality of traceability information through the available literature on perceived information quality, principal-agency theory, and cue utilisation theory. Specifically, we examine how traceability information influences purchase intentions of organic foods. We conducted an online survey and collected 361 valid samples from organic milk consumers in China. Our structural equation modelling analysis led to the following key findings: first, the perceived quality of traceability information positively influences purchase intention towards organic food; second, perceived uncertainty partially mediates the main effect; and, finally, the importance of product information positively moderates the relationship between perceived uncertainty and purchase intention. [ABSTRACT FROM AUTHOR]

English language translation teaching plays a crucial role in today's globalized world, particularly in countries like China, which has seen an increased emphasis on English language proficiency. However, effective teaching and assessment of students' translation abilities remain significant challenges for educators. To address the challenges of English language translation and teaching, this paper proposes a novel approach that integrates Internet of Things (IoT), Particle Swarm Optimization (PSO), and Neural Network algorithms to assist teachers in evaluating and assessing students' English translation abilities by enabling them to better fulfill their teaching responsibilities. This paper first describes the computational mechanism of Neural Network algorithm using PSO, which includes the particle coding approach. An application model is designed to assess students' capacity for learning using English translational instruction. The PSO algorithm gathers information on their learning progress, and fully utilize the analyzed results to develop learning strategies and create teaching materials for various learning types, which is helpful for the quick advancement of English translation teaching. Secondly, this paper develops a translational application model for English language as a practical framework. The proposed method utilizes the upgraded PSO-enabled Neural Network to process English language translation and teaching data by achieving network training in a global optimal state of PSO by reducing training errors. Thirdly, this paper evaluates the effectiveness of the model by comparing the average errors of the training and test samples with different numbers of particles such as 5, 10, and 20. Finally, the results demonstrate high accuracy in measuring students' translation abilities. Furthermore, the study collects and examines three data sets, specifically English-Foreign Language Translation Corpus (EFLT), English Language Learners' Corpus (ELLC), and English-Multilingual Parallel Corpus (EMPC), with a detection accuracy of 0.84, 0.97, and 0.65, respectively. [ABSTRACT FROM AUTHOR]

The widespread use of the Internet of Things (Iot) makes it possible to connect everything but having enough IP addresses is a fundamental requirement of this paradigm. All previous environmental monitoring systems in China are based on IPv4. In combination with the characteristics and requirements of China's atmospheric environment monitoring system, this paper develops a monitoring system based on IPv6 technology. Users can directly access the monitoring equipment through the IPv6 website to view data and configure operations. This paper first introduces the design and implementation of the software and hardware of the system, then introduces the simplification of IPv6 protocol, the transplantation of IPv6 protocol on ARM and the design and implementation of embedded Web server system. The experimental results show that the developed atmospheric environment monitoring system can realize continuous data acquisition based on IPv6 and provide data-driven support for environmental protection management and decision-making. [ABSTRACT FROM AUTHOR]

From a temporal perspective, this paper examines the scale, current development, business versatility, and overall work effects of regional the movement business work, taking into account the three-level proportions of the degree of the movement business in the context of the common Internet of Things. From a spatial standpoint, we recognize the adjacent city as the primary investigative unit, take on various markers, and lead an extensive assessment of the territorial improvement of the provincial travel industry work through even and vertical correlations. This paper utilizes numerous direct relapse examinations to set up the connection between the advancement level of the district of the travel industry economy and the impacting factors; arranged by size of impact, they are the travel industry asset gift, area traffic conditions, and monetary turn of events. Utilizing a blend of a solitary pointer and various markers, the area of the travel industry economy is assessed and dissected for contrasts in existence. We select the absolute travel industry income as a pointer and use strategies like reach. To assess the time difference of the movement of the business economy in each location, standard deviation, coefficient of assortment, and coefficient were used. To examine the data, we use the Granger causality test and several methodology components influencing the travel industry work nearby and the development mode. Through the foundation of a primary model of the travel industry work development element framework, causality test and different strategies are taken on to examine the provincial travel industry business affecting variables and development techniques, and the outcomes show that the local travel industry business development mode is a speculation driven the travel industry work development mode. [ABSTRACT FROM AUTHOR]

With the rapid development of Internet of Things (IoT) technology and the rising popularity of IoT devices, an increasing number of computing intensive IoT applications have been developed. However, due to the limited resources of IoT devices, cloud computing systems are required to compute intensive IoT applications. Furthermore, to be subject to a single cloud computing service provider, multi-cloud computing has become an IoT service cloud computing solution. As a result of the complexity of multi-cloud scheduling, the application of artificial intelligence is an important technology to solve IoT multi-cloud scheduling. The corresponding talent training plays an important role in the development and implementation of the IoT artificial intelligence multi-cloud scheduling. First, this paper studies the key influencing factors of IoT artificial intelligence multi-cloud scheduling applied talent training. Combined with the characteristics of the development of China's artificial intelligence industry, this paper summarizes the influencing factors from the four-dimensional training path of government departments, universities, enterprises and scientific research institutes. The purpose of artificial intelligence multi-cloud scheduling applied talent training is to build an artificial intelligence multi-cloud scheduling applied talent training influencing factor index system. Then, the DEMATEL method is used to establish multiple correlation matrices according to the direct influence correlation between the factors and calculate the degree of influence, the degree of being influenced, the center degree and the cause degree of the factors. Using the improved AISM method, based on the idea of game confrontation, from the two opposite extraction rules of result priority and cause priority, a group of confrontation level topological maps with comprehensive influence values reflecting the interacting factors are obtained, and relevant suggestions are presented to provide a reference for the training of artificial intelligence multi-cloud scheduling applied talent. [ABSTRACT FROM AUTHOR]

The key identification element of the smart factory is the interconnection between devices, which solves the production method and development dilemma of the factory under Industry 3.0 and previous models. The new article published by Xinhua News Agency on January 16, 2022, advocates the idea of industry+ Internet, and its main goal is to realize intelligent production. At present, smart factories have become the main development direction of industrial enterprises in the world. 5G technology has been rapidly deployed with the development of mobile communication, and its performance has also been greatly improved compared to previous communication technologies. After China put forward the smart manufacturing 2025 plan, although a large number of enterprises are still lingering in the process of research, learning, and exploration, the idea of Industry 4.0 has taken root in various intelligent manufacturing enterprises, and the development route of Chinese manufacturing enterprises in the future has been ahead of schedule. Direction. Based on the basic theory of Industry 4.0, 5G wireless communication, Internet of Things, and smart factories, this paper firstly distributed questionnaires to 20 enterprises with smart factories by means of network and interview and reanalyzed the collected questionnaires by regression analysis method and then used the questionnaire scale analysis method to analyze the reliability and validity of the questionnaire and combined with the results of the questionnaire analysis to analyze the problems existing in the current smart factory. Finally, based on the background of Industry 4.0 and 5G communication technology, combined with the Internet of Things technology, the development layout of the smart factory is designed; that is, based on the elliptic curve encryption algorithm, the signature mechanism of mutual trust of all electronic devices in the IoT smart factory is set to improve the smart factory. [ABSTRACT FROM AUTHOR]

With the growth and development of Construction 4.0, new technologies such as BIM, Big Data, and the Internet of Things are commonly used. These digital technologies play a critical role in fostering firm innovation and also have a major impact on firm performance. Based on panel data of 33 listed construction firms in China's construction industry from 2015 to 2020, this paper uses regression analysis and mediation analysis methods to empirically examine the relationship between Construction 4.0, technological innovation capabilities, and firm performance. The results demonstrate that Construction 4.0 has a significant positive promotional effect on the firm performance, while technological innovation capabilities mediate between Construction 4.0 and the firm performance. Based on these findings, it is suggested that construction firms should pay attention to the new technologies brought by Construction 4.0, increase investment in research and development, actively cultivate technological innovation capabilities, and build technological innovation networks, so as to promote digital transformation of construction firms. [ABSTRACT FROM AUTHOR]

As the digital economy promotes economic growth, the Internet of Things can solve the problem of productivity, and the blockchain can solve the problem of production relations, which realizes the industrial transformation of blockchain smart contract technology and becomes a new driving force for the industry. It is becoming more and more difficult for companies to control their own raw material supply, production, and sales by relying only on their own strength, and this is the key to influencing a company to become bigger and stronger. This problem will be efficiently solved by the implementation of "Internet of Things + Blockchain" technology. As a result, research into a new sort of smart supply chain management based on "Internet of Things + Blockchain" is required. From the perspective of building a smart supply chain, this paper makes full use of literature data methods, theoretical analysis methods, case analysis methods, logic analysis methods, and other methods. To study the effectiveness of IoT and blockchain technology through case study of changes in the order quantity in the procurement link of the supply chain. By understanding the current status of related research at home and abroad, as well as the Internet of Things technology and blockchain technology, this paper analyzes China. The main problems existing in the supply chain management of enterprises are the combination of the Internet of Things technology and the blockchain with the enterprise supply chain to create a smart supply chain platform, and the feasibility and functional efficiency of the smart supply chain platform. The related check was found, its deficiencies were found, and remedial measures were taken. The research results show that this intelligent supply chain management platform based on the Internet of Things (IoT) and blockchain can make the operation of the entire supply chain clearly visible. Information and data sharing can be achieved among the various departments of the supply chain to achieve scientific management and precision of the enterprise prediction. And this model can also be used in other industries to achieve industrial upgrading. [ABSTRACT FROM AUTHOR]

With the progress of science and technology, the construction of intelligent teaching is also developing and making progress. Intelligent teaching is a kind of teaching mode with the help of emerging information technology such as the Internet of things, cloud computing, and big data to build a diversified classroom. The construction of intelligent teaching is one of the important parts in the field of education informatization, and it is also an active field. The research in this area is beneficial to China's growth of information education. Online education has progressed significantly in the context of the intelligent Internet of Things. The focus of this paper is on violin online education. In the course of the research, it was discovered that violin teachers have little control over their students' after-school practice results, and that parents of violin students have little time to supervise their children's practice at any given moment. To solve this problem, the mixed speech composed of speech and violin accompaniment is selected as the research object. Audio signal analysis and neural network algorithm are used for analysis and research. The time domain and frequency domain characteristics of various audio signals are analyzed, including sparsity of speech signals and repeatability of music signals. The logarithmic power spectrum of audio signal is selected as the characteristic parameter, the sample is preprocessed and the feature is extracted, and the sound source separation model based on deep neural network is realized. The PESQ index was used to evaluate the separation results after using the audio source separation model to separate the mixed speech consisted of speech and violin accompaniment. By comparing the PESQ evaluation results of 40, 50 and 60 iterations, the model converges when the number of iterations is 50. The comparison between the model and L-MMSE algorithm shows that the performance of the model is better in speech source separation. The system will serve for the automatic evaluation of violin teachers' homework and the remote practice supervision of teachers and parents. [ABSTRACT FROM AUTHOR]

With the continuous development of Internet technology, mobile terminals are becoming more and more popular in people's lives, and the unprecedented wave of informatization promotes the development of all aspects of people's lives. The intelligent Internet of Things can not only bring people the information age but also allow learners to continuously learn and innovate online, breaking through the limitations of time and space. This paper aims to study how to make good use of the technology of intelligent Internet of Things to promote the development of professional construction and talent training mode in the era of intelligent Internet of Things. Based on the intelligent Internet of Things, this paper proposes data mining technology and an algorithm for association rules. The country should continue to innovate and research the mode of professional construction and personnel training. The experimental results of this paper show that, in 2015, there were about 106,000 asset appraisal practitioners and 34,000 Asset Appraisers in China. By 2019, there were about 121,000 asset appraisal practitioners and 41,000 Asset Appraisers in China. People and talents in the field of asset evaluation are in great need of intelligent IoT technology to improve the objectivity and accuracy of evaluation results, and the asset evaluation profession also needs intelligent IoT technology to innovate talent training models, and relevant personnel should continue to work hard on themselves to improve their own strength and continue to learn in combination with the intelligent Internet of Things. [ABSTRACT FROM AUTHOR]

Purpose: In the ongoing Industry 4.0 era, the internet of things (IoT) has become a global race in the current information technology climate. However, little is understood about the pattern of the global competitive arena or its players' set up strategy. This paper aims to attempt to compare the cross-country development of the IoT industry. In particular, from the lens of industrial policies, this paper highlights how China, as a latecomer, gains momentum to emerge victorious as a leader in this global race. Design/methodology/approach: Based on five dimensions, namely, foundation, trajectory, characteristic, application and social impacts, this paper presents the evolution of the IoT industry in the USA, European Union, Japan, South Korea and China. From the lens of windows of opportunities, this paper analyzes how China seized the opportunity with the emerging technology, thereby, enabling it to create a competitive advantage. Findings: This paper finds that China's IoT industry takes a distinct trajectory, where scientific institutions, enterprises and governmental policies collaborate in unison, during which the first phase was when scientific research institutions introduced the conceptual new technology from developed countries. This technological foresight allowed for the identification and realization of critical technologies, strategic fields and technological trends. The second phase was the continuous dissatisfaction of capabilities of critical technologies, which creates disruptions that significantly altered the environment of technological competition. Originality/value: This paper provides a comprehensive and comparative review of IoT industries in a global context, with the critical and influential role of the windows of opportunities on those enterprises lagging behind the technological wave. [ABSTRACT FROM AUTHOR]

After more than 40 years of long-term development, as a pioneer of China's reform and opening up, the Yangtze River Delta region has made tremendous economic progress and strong scientific and technological innovation strength, which has made the economy flourish and scientific and technological innovation strength strong. However, in the process of financial growth in the Yangtze River Delta, there are also financial structures that do not match the optimization of industrial structure, thus hindering the quality and efficiency of industrial structure optimization, thus affecting the strategic function of industrial development. For the development of the financial field, this paper applies the real-time data processing system of the Internet of Things based on blockchain technology to analyze the financial industry of the Yangtze River Delta urban agglomeration. The Internet of Things, based on the technology of real-time data processing system, can store different types of financial assets. These assets are a common component of supporting the application of the Internet of Things. They mix and build a powerful back-end process that can support the data processing application of the Internet of Things. Therefore, the Internet of Things data network and other information are stored in the data structure, so that data analysis and consolidation can be carried out with consensus, Thus, the processing efficiency of relevant financing data in the Yangtze River Delta region has been greatly improved, and the development process of the financial sector in the region has been effectively accelerated. Therefore, the research on this issue will enable the financial industry to give full play to its potential as a major component of national economic development, so as to maximize the improvement of the industrial structure and promote the development of blockchain and Internet of Things technologies. [ABSTRACT FROM AUTHOR]

With the progress of the Internet of things technology in recent years, all aspects of people's lives have also been affected. More and more people are immersed in the virtual world and ignore the real activities. According to the survey, nearly 50% of people in China are in subhealth, mainly modern diseases caused by long-term inactivity. Therefore, to form a good habit of physical exercise, we must start from an early age. Starting from the physical education teaching in primary and secondary schools and from the perspective of modern scientific and technological facilities, this paper discusses the practical sports analysis and action optimization of physical education teaching based on the perception of the Internet of things. Starting from the practice of Internet of things sensor sensing in physical education teaching, we have successively determined the multisensor motion acquisition system algorithm, motion pattern recognition algorithm, and motion energy consumption algorithm, which provides modern equipment for motion analysis and motion optimization in physical education teaching practice, which breaks the current situation that traditional teachers spend a lot of time and energy for students. Combining sports mode with sports energy consumption can not only analyze sports data accurately and in real time but also optimize and predict students' sports behavior in time. We hope to supervise and urge primary and secondary school students to exercise through technical means to improve the quality of primary and secondary school students' exercise and improve people's health through physical exercise. [ABSTRACT FROM AUTHOR]

Corporate governance structure is a subject of great theoretical and practical significance, especially the impact of board characteristics on corporate performance, which has been the focus of scholars' attention. However, due to the particularity of China's commercial institutions, especially the state-owned commercial institutions in the transition economy, which have a strong government-led color in system, commercial institutions mainly rely on strengthening the governance of the board of directors to improve the effectiveness of their internal governance. Based on the basic principles of the Internet of Things (IOT) business environment, this paper divides the architecture of multiple IOT perception system into perception domain and business domain. This paper studies the development mode of the economic and business perception system stage of the Internet of Things: the primary stage, the growth and maturity stage, and the integration stage. Strengthen the establishment of an independent director system, create an environment in which independent directors exercise full power, strengthen penalties for violations of directors, strengthen the integrity of directors, and establish a scientific and reasonable board evaluation mechanism. The effective operation of enterprises is based on the perfect market rules and a good market order. The reform of state-owned enterprises with the core of establishing a modern enterprise system and improving corporate governance structure must be carried out simultaneously with the construction of market systems. [ABSTRACT FROM AUTHOR]

With the acceleration of the urban development process and the rapid growth of China's population, the subway has become the first choice for people to travel, and the urban underground space has been continuously improved. The subway construction has become the focus of urban underground space development in the 21st century. During the construction of subway tunnels, the problem of surface settlement will inevitably be caused, and the problem of surface settlement will have a certain safety impact on the safe use of surface buildings. The impact of surface construction is predicted, so as to select the best construction technology and avoid the problem of surface subsidence to the greatest extent. On the basis of analyzing the principle of surface subsidence, this paper studies the optimal control strategy and process of subsidence in subway tunnel engineering. The research results of the article show the following. (1) The two sections of the pebble soil layer have basically the same subsidence trend. Among them, the first section has a larger settlement amplitude and both sides are steeper. The second section is mainly cobble clay soil. The pebble layer has good mechanical properties. If it can be well filled, its stability will be improved. The comparative analysis of the two sections shows that with the increase of the soil cover thickness, the maximum subsidence at the surface gradually decreases. The reason is that when the stratum loss is the same, the greater the soil cover thickness, the greater the settlement width. Sections 2 and 3 of a single silty clay have relatively close settlement laws, and the settlement changes on both sides of the tunnel are similar. (2) The surface subsidence caused by the excavation of the side hole accounts for more than 50% of the total surface subsidence, and the width of the settlement tank after the excavation of the side hole is increased by 8–10 meters compared with the excavation of the middle hole. (3) The prediction error of the BP neural network model proposed in this paper is the lowest among the four models, whether it is the prediction of the cumulative maximum surface subsidence or the location of the cumulative maximum surface subsidence, and the average relative error of the cumulative maximum surface subsidence is 3.27%, the root mean square error is 3.87, the average relative error of the location of the cumulative maximum surface subsidence is 7.96%, and the root mean square error is 21.06. In the prediction process of the cumulative maximum surface subsidence, the prediction error value of the Elman neural network is relatively large, and the GRNN generalized neural network and RBF neural network have no significant changes; in the process of predicting the position where the cumulative maximum surface subsidence occurs, the prediction error value of RBF neural network is maximum. [ABSTRACT FROM AUTHOR]

With the advent of the information age in the 21st century, Internet technology has developed rapidly. With the development of agriculture, industry, and service industry, Internet technology has also achieved further innovation and cross-border integration. The rapid development of Internet technology has provided new ideas for poverty alleviation in poor areas of China and accelerated the speed of poverty alleviation in poor areas. Based on the assumption of China's industrial poverty alleviation and the analysis of the implementation center, this paper puts forward an evaluation method of industrial poverty alleviation effect based on the fuzzy comprehensive evaluation method, which is evaluated from three aspects: income structure, expenditure structure, and labor resources. Taking Wuxi County as an example, this paper discusses the combination of human capital theory and multidimensional poverty theory. The evaluation of poverty alleviation effectiveness includes four indicators (comprehensive analysis, evaluation system, policy implementation, poverty alleviation funds) and 21 secondary indicators. Fuzzy comprehensive evaluation is an objective, fair, and comprehensive evaluation of the overall level of poverty alleviation and development in Wuxi. The expert scoring method is used to calculate the weight of each index and determine the level of members and the industrial situation of China's industrial poverty alleviation. According to the scores of each evaluation index, the poor households in Wuxi County are very satisfied with the person in charge of help, the villager group, the way of helping, and the effect of helping. [ABSTRACT FROM AUTHOR]

With the continuous development of the society, China's economy and technology have been greatly improved, and network technology has also been widely used in life. In China's forestry management, the use of Internet of Things technology has gradually formed a model, which has greatly helped the economic benefits of forests. In addition, with the rapid development of the tourism industry, the number of tourists has increased sharply, the tourism infrastructure and tourism management are relatively lagging behind, and tourism safety accidents have occurred from time to time. However, the application of IoT technology in forestry is still in its infancy, with a small scope of application and low technical level. Aiming at the uniqueness of forest management, this paper proposes the development direction and application planning of IoT in forest resource supervision and service, forest fire prevention and control and service, ecological environment monitoring, and forest tourism supervision and service. In addition, this paper also discusses the acquisition technology of geological disasters, air quality, meteorological conditions, passenger flow conditions, and traffic flow mainly involved in tourism safety from the macroperspective of the Internet of Things. At the same time, the specific application of these technologies in tourist attractions is discussed to provide some technical reference for the realization of scientific and safe tourism management. [ABSTRACT FROM AUTHOR]

Animal husbandry is the pillar industry in some ethnic areas of China. However, the communication/networking infrastructure in these areas is often underdeveloped, thus the difficulty in centralized management, and challenges for the effective monitoring. Considering the dynamics of the field monitoring environment, as well as the diversity and mobility of monitoring targets, traditional WSN (Wireless Sensor Networks) or IoT (Internet of Things) is difficult to meet the surveillance needs. Mobile surveillance that features the collaboration of various functions (camera, sensing, image recognition, etc.) deployed on mobile devices is desirable in a volatile wireless environment. This paper proposes the service function chaining for mobile surveillance of animal husbandry, which orchestrates multi-path multifunction (MPMF) chains to help mobile devices to collaborate in complex surveillance tasks, provide backup chains in case the primary service function chain fails due to mobility, signal strength, obstacle, etc., and make up for the defects of difficult deployment of monitoring facilities in ethnic areas. MPMF algorithmmodels both mobile devices and various functions deployed on them as abstract graph nodes, so that chains that are required to traverse various functions and hosting mobile devices can be orchestrated in a single graphbased query through modified and adapted Dijkstra-like algorithms, with their cost ordered automatically. Experiment results show that the proposed MPMF algorithm finds multiple least-costly chains that traverse demanded functions in a timely fashion on Raspberry Pi-equipped mobile devices. [ABSTRACT FROM AUTHOR]

Street lighting, as the most essential and universal component of the urban lighting system, accounts for a large portion of public electricity usage. Therefore, improving street lamps working efficiency is vital for energy savings. This paper demonstrates the design of a smart street lighting system supported by the combination of NB-IoT and LoRa communication technology. By adopting an optimized street lamp control algorithm, the system can realize the automatic control of street lights according to the real-time traffic flow information. This system has been installed on Luyang Avenue, Lucheng City, Shanxi Province, China in May 2019. It managed to reduce the electricity consumption in this region significantly in June 2019, which was 18% lower than that in April 2019 and 19.7% lower than that in June 2018. By illustrating the unique advantages of this system in energy savings and cost reduction, this paper displays its potential for further application in the construction of smart cities on a large scale. [ABSTRACT FROM AUTHOR]

The Internet of things (IoT) has changed the information transmission mode of people, things, and services. The new functional experience will bring users an efficient, convenient, and safe lifestyle. Virtual reality (VR) technology, also known as spiritual environment technology, is a new stage of the development of computer and information technology. It is an important auxiliary tool in the fields of R & D, production, education, and so on. As one of the six most famous kilns in the Tang Dynasty (618–907 BC), Shouzhou kiln plays an important role in the history of ceramics in China and even in the world. However, due to the long history, incomplete site preservation, fragile ceramic materials, and lack of effective promotion and publicity, it has been difficult to make a breakthrough in the protection and development of Shouzhou kiln. VR technology makes comprehensive use of computer software and hardware, breaks the barrier between virtual and reality, and provides a new idea for the protection and development of Shouzhou kiln. On the basis of fully combing the principle of VR technology and analyzing the application possibility of VR technology, firstly, focusing on the history and from the perspective of archaeological research of Shouzhou kiln, this paper discusses how to use VR technology to realize the restoration of ancient kiln sites, ancient ceramics, ancient ceramics technology, and relevant data preservation of Shouzhou kiln. Secondly, focusing on the present, this paper discusses the application of VR technology and Internet of things technology in Shouzhou kiln ceramic product design, Shouzhou kiln process technology improvement, Shouzhou kiln ceramic product display, and Shouzhou kiln marketing. Finally, focusing on the future, this paper discusses the application prospect of VR technology in the inheritance of Shouzhou kiln technology and the promotion of Shouzhou kiln ceramic culture. It is expected to explore feasible paths and methods for the protection, inheritance, and development of ancient ceramic culture in China and even the world through the discussion of VR technology involved in the protection and development of Shouzhou kiln. [ABSTRACT FROM AUTHOR]

The continuous development of information technology and various electronic devices has accelerated the process of informatization and digitization, enabling the development and application of the emerging technology of wireless communication and the Internet of Things. Since the continuous occurrence of vicious bridge collapse accidents in China in recent years, the problem of bridge inspection has become a hot topic among the people. At the same time, how to apply wireless communication and the Internet of Things technology to bridge inspection systems has also become a new research topic. This article mainly studies the design and analysis of bridge detection systems based on wireless communication and Internet of Things technology. In order to expand the field of bridge detection and standard management and improve the credibility and reliability of safety problem prediction and evaluation, the bridge detection system will integrate IoT sensing, internet, remote communication, digital signal analysis and processing, big data knowledge mining, big data prediction and other technologies, design and analysis of the main structure of roads and bridges, and other multifaceted knowledge fields and build a professional intelligent digital network based on bridge inspection data collection, monitoring, analysis, evaluation, and early warning. From design to use and maintenance of the bridge, a digital neural network spanning time and space throughout the life cycle is constructed to construct a digital brain with bridge sensing points as neurons. This paper uses high-power infrared sensor equipment, satellite positioning systems, sensor equipment, and other technical equipment to achieve the purpose of data communication and exchange and realize intelligent positioning, identification, supervision, tracking, and other functions, making the wireless communication and Internet of Things reliable transmission, comprehensive perception, intelligent processing, and other capabilities very effective in the field of bridge inspection. Through the research and analysis of this article, there are more and more bridge inspection systems developed by the Internet of Things and wireless communication technology in China, and the percentage of related equipment used can reach more than 90%. The functions of the bridge inspection system are becoming more and more complete, and the results of the inspection data are also increasing. [ABSTRACT FROM AUTHOR]

The construction industry is the pillar industry of China's national economy. According to the statistics of the National Bureau of Statistics, the GDP in 2016 was 744.127 billion yuan, while the total construction output value was 193.567 billion yuan, accounting for 6.5 percent of China's GDP. The construction industry has played a pivotal role in promoting social development. Construction projects have always belonged to typical high-risk industries, and they will be affected by many factors, and these factors are mostly from the social environment and the natural environment, which makes it difficult to realize the expected construction period, cost, quality, safety, etc., of the construction project. The objectives, especially for large- and medium-sized construction projects, involve a lot of specialties, a wide range, a long construction period, and a huge amount of investment. Once the risks appear, the consequences are unimaginable. In addition, construction projects will be affected by accidental factors during the implementation process. If not handled in time, it will seriously affect the normal operation of construction projects. In view of the above problems, this article aims to study the risk management research of construction project management under the multimedia environment of the Internet of Things. Combining the characteristics of mobile construction projects, various problems are analyzed in the construction process of construction projects. This paper proposes a multimedia-based construction project management system, construction project quality management objectives and principles, and schedule risk prediction. The experimental results of this paper show that taking the construction project under the multimedia environment as an example, the communication management and quality control management of the construction project under the multimedia environment are studied. Through the combination of theory and practice, the work of construction projects under the multimedia environment of the Internet of Things is guaranteed to be completed on time and with high quality. [ABSTRACT FROM AUTHOR]

The cultural industry of ethnic minorities carries the wisdom of many ancients. In today's modernization, ethnic minority cultural industry products can still impress people's hearts with exquisite handicrafts, natural materials, and strong culture. The rise in demand for ethnic cultural products will bring about an increase in the demand for raw materials for handmade products, which is bound to have an impact on the environment. This paper is aimed at modeling and analyzing the ecological level of minority cultural industries based on the background of the Internet of Things (IoT) and environmental responsibility. In the experiment, this paper analyzed the ecological level of the traditional fish skin industry by taking the Hezhe people in Heilongjiang as an example. Aiming at the cultural industry of the Hezhe people, this paper selected the fish skin industry as the object of empirical analysis from the fish culture it represents. According to the ecological level of the industry, this paper selected the three first-level indicators of production energy saving level, ecological environmental protection level, and production emission reduction level and its 12 subordinate second-level indicators to model and analyze the fish skin industry of the Hezhe people. The analysis results showed that the industrial ecological level of the Hezhe fish skin industry in the past 16 years reached the standard rate of more than 75%. However, the ecological level index for the three years of 2018, 2019, and 2020 was between 0.3 and 0.5, which indicated that the ecological level in these three years was very low. This was caused by the mechanization of the handicraft industry in recent years., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper., (Copyright © 2022 Weiguang Xie and Shanbo Yu.)