Intelligent Era Research Articles

Exploration on the Construction and Application of Big Data Investment Promotion Platform

At present, the integration of new technology clusters represented by cloud computing, big data, Internet of Things, artificial intelligence, and 5G has undoubtedly provided new ideas for investment promotion in various regions, and the investment promotion mode supported by big data has become the "new favorite" of local governments to attract investment. The investment promotion model supported by big data has become the "new favorite" of local governments to attract investment. This investment promotion model is based on the whole scenario of investment promotion business, comprehensively solving the problems faced by local investment promotion work at this stage and promoting local investment promotion work into the intelligent era. This paper introduces the construction structure of the big data investment promotion platform, compares the current situation of the application of the big data investment promotion platform, and finally provides an outlook on the future development trend and constructively proposes three new initiatives, aiming to form a new mechanism of "government coordination and promotion, platform tracking services, and market-oriented operation and management" for intelligent investment promotion.

Design of Network Security Protection System for Internet of Vehicles under Electric Internet of Things Background

At present, China’s Internet of Vehicles (IoV) industry is booming and constantly promoting the society to the intelligent era. However, the development of network technology not only brings the opportunity of technology promotion for the IoV, but also brings new network security risks. Therefore, it is urgent to further strengthen the construction of the protection system for the IoV. Based on the original architecture of the IoV, this paper first analyses the security risks of the terminal layer, the network layer, the platform layer and the application layer under the background of the electric internet of things. According to the new security threats faced by the four layers of the IoV, the network security protection system is constructed, which strictly follows the overall information security protection strategy of the State Grid Corporation of China and the new requirements of “network security level protection 2.0”. Deepening the construction of the intelligent defence system of the IoV would be significant for the development of coordinated network security and the IoV, and would continuously improve the protection ability of the IoV.

Research on the Possibility of Smart Wearable Devices in Ice and Snow Sports Based on Wireless Network

Ice and snow sports are very popular fashion sports in the world. The development of ice and snow sports in China is affected by factors such as climate and natural environment, industrial development, consumption concept, and ice and snow culture. With the advent of the intelligent era, technology has developed rapidly, and the emergence of smart wearable devices has been widely used. The article is based on the recognition of ice and snow movement status, combined with wearable technology, signal processing technology, wireless communication technology, using acceleration sensors, biosensors, bluetooth modules, smartphones, and back-end servers to build a “wearable health monitoring based on recognition of the status of human ice and snow movement system.” Through the daily wear test, on the basis of real-time recognition of the human body motion state, the system issues alarms for dangerous fall actions and abnormal physiological signals in different motion states and can use energy management strategies to save system energy according to the user status, which proves reliability of wearable health monitoring architecture based on human motion state recognition. The paper firstly reviews the related works and literatures of ice and snow sports and smart wearable equipment at home and abroad through literature search and web search and uses questionnaire survey, logic analysis, and interview method to study the development of ice and snow sports. It is feasible to go to the snow and ice. Among them, the proportion of people who think it is expensive is the highest, reaching 65%.

Research on Dynamic Design of Ideological and Political Education Based on Intelligent Algorithm

The digital civilization of human-computer coexistence has become a reality, thanks to the intelligent era. The widespread application of artificial intelligence technology in education has paved a new road for the collaborative and innovative development of ideological and political science teachers in universities and schools. In response to the problems of irregular, unprofessional, and unified resource sharing channels, duplicated, inverted, and disconnected teaching contents, and uncoordinated, insufficient, and unbalanced scientific research linkages in the integration process of university and college civics courses, the B/S three-layer architecture framework is used to build a university and college civics course teachers’ collaborative innovation platform that supports both PC and cell phone use by using jQuery, my structured query language (MySQL), hypertext preprocessor (PHP), juvenile sex offender assessment protocol (J-SOAP) crawlers, and other technologies. Teachers of civics courses can use the platform as a collaborative innovation tool. The goal of integrating resources, teaching, and scientific research of university and college civics courses is achieved, and the collaborative innovation development of university and college Civics teachers is promoted from theory to practice, thanks to the development of three major functions of the platform, namely, resource sharing, scientific research exchange, and teaching mutual assistance.

Research on RPA Development and Application Curriculum Construction under the Reform of Intelligent Accounting in China’s Universities

Intelligent manufacturing has become the development direction of China's modern advanced manufacturing industry, and talents are the first element for the development of intelligent manufacturing. Under the guidance of the national strategy of enabling digital technology to build a powerful country, China's colleges and universities are promoting the teaching reform of Intelligent Accounting undergraduate majors at full speed. Introducing and improving the course construction of Financial RPA Development and Application has important practical significance for the transportation of compound professional and technical talents, and the implementation of guarantee strategy. After analyzing the current situation and implementation difficulties of the opening and embedding of this course, this paper discusses the suggestions of course optimization from four perspectives: teaching objectives, teaching resources, teaching design implementation, and teaching feedback & evaluation. Try to provide a reference for the construction of first-class disciplines and first-class majors of accounting under the national digital strategy, and provide research support for talent training and development in the intelligent era.

An Artificial Synapse Based on CsPbI3 Thin Film.

With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law. An artificial synapse based on halide perovskite CsPbI3 was fabricated to address these problems. The CsPbI3 thin film was obtained by a one-step spin-coating method, and the artificial synapse with the structure of Au/CsPbI3/ITO exhibited learning and memory behavior similar to biological neurons. In addition, the synaptic plasticity was proven, including short-term synaptic plasticity (STSP) and long-term synaptic plasticity (LTSP). We also discuss the possibility of forming long-term memory in the device through changing input signals.

Construction of Sports and Health Data Resources and Transformation of Teachers' Orientation Based on Web Database.

In the intelligent era, emerging information technology helps to transform the information society into an intelligent society and the educational system into a new educational ecology. Teachers must change their roles to be competent for future education and teaching as a result of social transformation, technology application, and education development. Simultaneously, figuring out how to sort sports health data and analyze students' physical health information with a low error rate is an urgent problem that needs to be solved. Data management skills are an unavoidable requirement of the current state of school physical education. Sports health information management will become easier as computer technology advances and the country places a greater emphasis on computer networks. This paper proposes a Web database-based sports health data management system. This paper can help schools understand the relationship between important factors and indicators that affect students' health in order to guide them in making timely changes to their physical education programs. Provide a reasonable sports health plan based on scientific analysis and evaluation to achieve the goal of improving students' physical quality and reducing workload.

Magnetism-Controllable Catalytic Activity of DNAzyme.

Controllable regulation of enzyme activity is an important prerequisite for the in-depth application of enzymes, especially in today's intelligent era. However, irreversible regulation and cumbersome operation make this goal difficult to achieve. Here, by adopting magnetism and a harmless, noncontact, and time- and space-controllable physical element, we developed a system that could conveniently and reversibly regulate the activity of DNAzyme. In this system, the strands of the DNAzyme could be stretched or folded by applying or removing a magnetic field. Thereby, the conformation-dependent endonuclease activity of the DNAzyme could be facilely switched between an "OFF" and "ON" state. This system provides a reusable platform for the control of enzyme catalytic activity through magnetism, which provides guidance for further application in some related scientific research, especially the regulation of the activity of conformation-dependent polymers (DNAzymes, aptamers, and peptides).

An Integrated Assessment Scheme of Network Infrastructure Following Security Standards and Specifications

In this intelligent era, with deeper research, faster development, and wider application of information technologies, the network infrastructure plays one more and more important role in data communication and processing that affects almost every field worldwide. Correspondingly, cyberspace security, especially the security of network infrastructure has become elementary for countries and companies. Then, various security standards and specifications have been proposed to guide network infrastructure’s design, development, and operation. Consequently, it is the key to assess whether a network infrastructure is compliant with the related standards and specifications. However, most of the existing security assessment schemes are manual, that is, testers should check all issues depending on their understanding of the network infrastructures and related documents. That results in the lack of accuracy, continuity as well as comprehensiveness. Therefore, in this paper, we propose an Al-based network infrastructure security assessment (ISA-CN) scheme, which concerns China’s current fundamental network infrastructure security assessment related standards and specifications and evaluates the object’s security states with multi-dimensional automatically monitored network traffic data continuously and comprehensively. The analytical and experimental results show that our ISA-CN scheme is suitable for the assessment of real-world network infrastructure systems.

Innovation and Practice for Multilevel Teaching Model of “Principles of Chemical Engineering” in the Intelligent Era

Innovation and Practice for Multilevel Teaching Model of “Principles of Chemical Engineering” in the Intelligent Era

Digital Workers in Cyber–Physical–Social Systems for PCB Manufacturing

With the rapid development of smart manufacturing technologies, machines as primary productivity have come into intelligent era. In current industrialization, workers play an significant role in PCB manufacturing and gradually become the bottleneck of the whole manufacturing process. However, the workers in factories have been ignored for a long time. There are not any intelligent method to organize, coordinate and manage them efficiently. In this paper, based on CPSS and ACP theory, we propose a digital worker system to facilitate biological workers to perform human resource management, largely reducing workload, improving working performance, and taking care of physical and mental health of human workers. In this CPSS system, we leverage ACP method to construct a super brain between digital workers, implementing descriptive intelligence, predictive intelligence, and prescriptive intelligence, thus providing personal guidance and management strategies for each biological worker. Consequently we could relieve job burnout and reduce turnover rate for PCB manufacturers.

Research on artificial intelligence of accounting information processing based on image processing

<abstract> <p>The rapid development and wide application of artificial intelligence is deeply affecting all aspects of human society. Combine artificial intelligence with the accounting industry, use computers to efficiently and automatically process accounting information, and let the accounting industry move towards the intelligent era. This can help people reduce the workload and speed up work efficiency. In recent years, with the rapid development of economy and technology, the use of financial instrument vouchers has exploded, but the processing requirements of financial instrument vouchers have become more and more efficient. Traditional accounting information processing methods, due to the staff's energy and ability, it is often difficult to quickly and accurately handle accounting information. This makes the processing of accounting information lack of timeliness, the degree of utilization of accounting information by enterprises is relatively low, and the demand for intelligent processing of accounting information is constantly pressing. In view of the above problems, this paper uses image processing technology to intelligently identify the content of accounting information to achieve automatic ticket input, improve work efficiency, reduce error rate and reduce labor costs. By simulating the actual 230 invoice images, the results show that the recognition accuracy rate is as high as 98.7%. The results show that the method is effective and has great application value, which is of great significance to the artificial intelligence of accounting information processing.</p> </abstract>

The Connotation and Framework Construction of Digital Literacy of University Teachers in The Intelligent Era

With the further development of educational information technology, digital technology plays a more and more important role in modern classroom. in addition, with the outbreak of COVID- 19, The implementation of online teaching in multiple locations across the country has put forward higher requirements for teachers' digital literacy. After deeply interpreting the specific concept of digital literacy, further exploring the connotation of digital literacy and understanding a large number of related literature research, this paper constructs the framework of digital literacy of university teachers in the digital intelligence era, which is divided into three dimensions. Thirteen basic elements. According to the previous article, this paper puts forward the implementation path of three aspects of university teachers' digital literacy framework, namely, to build a perfect university teachers' professional training system to improve teachers' basic digital literacy; cultivate university teachers' concept oftechnological integration and enhance peer cooperation and communication to improve their own digital teaching ability; develop diversified digital literacy promotion and evaluation tools to help teachers' digital learning.

System Dynamics-Based Analysis on Factors Influencing Artificial Intelligence Talents Training

There are gaps between education supply and industrial demand of talents in intelligent era. Thus, the shortage of artificial intelligence(AI) talents becomes the top challenges facing Chinafs companies. Hence it is essential to implement educational reform to improve quality of education supply talents. However, educational reform is affected by multiple and intertwined factors. This research, therefore, developed a system dynamics-based model of education reform to sort out relationships among all factors and predict the influence of several factors on AI talents output. Then, based on this model, series of experiments are carried out to find main factors affecting cultivation of AI talents. Results show that: 1) this model could accurately simulate trends of output ratio AI talents under different educational reform measures; 2) Measures including teaching mode reform, improving the application rate of new teaching model, speeding up the construction of new disciplines in higher education, developing AI, improving ethics of AI, and strengthening the integration of AI and education could play significant roles in promoting cultivation of AI talents.

Problems and countermeasures of online teaching in the post-epidemic era

The outbreak of the COVID-19 epidemic has accelerated the transition of offline teaching to online teaching at colleges and universities in China which are speeding up the construction of information and intelligent education. Offline teaching is conducive to constructing a new type of education and talent training paradigm in the intelligent era. Through literature review and investigations, it is found that in the post-epidemic era, online teaching still has some problems, such as insufficient information technology guarantee, insufficient interaction between teachers and students, single teaching effect evaluation indicators and students’ poor self-discipline. To cope with the above-mentioned challenges, this paper has proposed the following suggestions for online teaching in the post-epidemic era: increase investment in information infrastructure, improve teachers’ information literacy and online teaching ability in an all-round way, update and improve the academic evaluation system and enhance students’ independent learning ability. All those suggestions aim to promote online teaching and create a new model of college education.

Manufacturing Company Management and Innovation in the Age of Digital Transition

China has ushered in the era of Industry 4.0 by ushering in the global era of intelligent manufacturing. Nowadays, informationization and intelligence are all around us. As we can see, many manufacturing workshops are being replaced by machines rather than labor. Enterprises face challenges while benefiting from the convenience of the intelligent era, particularly in the management of manufacturing enterprises. Faced with the intelligence of machinery and equipment, enterprises must deal with the efficiency of the enterprise’s personnel. This is a return to traditional economic management thinking. This paper primarily discusses current enterprise management issues and makes management recommendations in response. At the same time, it demonstrates that in the age of digital transition and intelligent manufacturing, enterprises should pay attention to innovative ideas and combine them in order to maximize enterprise management efficiency.

Heterointerface Engineering in Electromagnetic Absorbers: New Insights and Opportunities.

Electromagnetic (EM) absorbers play an increasingly essential role in the electronic information age, even toward the coming "intelligent era". The remarkable merits of heterointerface engineering and its peculiar EM characteristics inject a fresh and infinite vitality for designing high-efficiency and stimuli-responsive EM absorbers. However, there still exist huge challenges in understanding and reinforcing these interface effects from the micro and macro perspectives. Herein, EM response mechanisms of interfacial effects are dissected in depth, and with a focus on advanced characterization as well as theoretical techniques. Then, the representative optimization strategies are systematically discussed with emphasis on component selection and structural design. More importantly, the most cutting-edge smart EM functional devices based on heterointerface engineering are reported. Finally, current challenges and concrete suggestions are proposed, and future perspectives on this promising field are also predicted.

Can AI Algorithmic Decision-making Improve Employees’ Perception of Procedural Fairness?

With the development of digital technologies such as big data, artificial intelligence and machine learning, many organizations try to introduce AI algorithms into the decision-making process to avoid the subjective inherent biases. Although AI algorithms improve the scientificity of decision-making, they also raise the issue of fairness in the decision-making process. Considering that employees are the direct subject of HR decision-making, how employees view and evaluate the fairness of AI algorithmic decision-making process is very important. However, researches on the above questions are rather limited.Based on the procedural fairness theory, this study discusses the impact of different decision-making subjects (AI algorithms vs. supervisors) on employees’ perception of fairness in the HR decision-making process. Through two experiments, we find that: (1) The decision-making of AI algorithms makes employees have a lower perception of procedural fairness than that of supervisors. (2) Information transparency mediates the relationship between AI algorithmic decision-making and employees’ perception of procedural fairness. Employees believe that AI algorithmic decision-making has lower information transparency, which in turn produces a lower perception of procedural fairness. (3) Inclusive climate moderates the relationship between AI algorithmic decision-making and employees’ perception of procedural fairness. When employees perceive a high level of organizational inclusive climate, the effect of AI algorithmic decision-making on the perception of program fairness will be weakened.Overall, this study responds to the call for more research that bridges AI algorithmic decision-making and individual perception of procedural fairness by examining information transparency as a mediator and inclusive climate as a moderator in this relationship. The findings not only challenge the existing mainstream view that AI algorithmic decision-making does not exist a lower bias than human decision-making, but also offer useful advice to managers and provide implications for organizational HR decision-making practices in the digital and intelligent era.

Secure KNN Classification Scheme Based on Homomorphic Encryption for Cyberspace

With the advent of the intelligent era, more and more artificial intelligence algorithms are widely used and a large number of user data are collected in the cloud server for sharing and analysis, but the security risks of private data breaches are also increasing in the meantime. CKKS homomorphic encryption has become a research focal point in the cryptography field because of its ability of homomorphic encryption for floating-point numbers and comparable computational efficiency. Based on the CKKS homomorphic encryption, this paper implements a secure KNN classification scheme in cloud servers for Cyberspace (CKKSKNNC) and supports batch calculation. This paper uses the CKKS homomorphic encryption scheme to encrypt user data samples and then uses Euclidean distance, Pearson similarity, and cosine similarity to compute the similarity between ciphertext data samples. Finally, the security classification of the samples is realized by voting rules. This paper selects IRIS data set for experimental, which is the classification data set commonly used in machine learning. The experimental results show that the accuracy of the other three similarity algorithms of the IRIS data is around 97% except for the Pearson correlation coefficient, which is almost the same as that in plaintext, which proves the effectiveness of this scheme. Through comparative experiments, the efficiency of this scheme is proved.

Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology

With the continuous development of artificial intelligence technology, the supply chain logistics industry has shown new changes. The products of the intelligent era such as smart devices, big data computing, and Internet of Things technology have gradually become the transformation and innovation of logistics and supply chain enterprises. The important driving force of the logistics and supply chain industry will greatly improve the operational efficiency of the logistics and supply chain industry. Methods. This article studies the technical framework of artificial intelligence and explores the upgrading and transformation of supply chain logistics enterprises in logistics infrastructure, production tools, and logistics operation processes under the promotion of artificial intelligence technology, from warehouse location, inventory management, warehousing operations, transportation, and distribution. The data analysis and prediction analyze the impact of artificial intelligence on the supply chain logistics field and finally point out the problems in the intelligent development of the supply chain logistics field and put forward targeted suggestions to promote the modern supply chain logistics to become more intelligent. developThe new development trend of smart logistics is towards sharing economy, automation, service efficiency, and cost reduction. Results. In this context, if logistics companies want to achieve higher-quality development, they cannot do without business model innovation and larger-scale collaboration, transparency of logistics information, and more comprehensive information sharing. The new trend of the development of smart logistics is to develop in the direction of sharing economy, automation, service efficiency, and cost reduction. Conclusion. Intelligence and the Internet of Things are the inevitable trend of the development of smart logistics, which is mainly realized through the Internet of Things path in terms of visual information technology, intelligent robot operation, vehicle scheduling, and cargo traceability.