Research on Industrial Relevance Degree and Industrial Financial Situation Risk Matrix Construction——Based on Chinese Information Technology Industry

Based on Input-Output Table in 2010 issued by National Bureau of Statistics of China, with the help of input-output model and with the calculation of indexes of industrial relevance degree in Chinese information technology industry, the paper reveals the industrial relevance in Chinese information technology industry. The paper also selects the relevant industries which are highly associated with the development of Chinese information technology industry based on industrial relevance degree to analyze the influences of these industries on the financial situation risk fluctuation in information technology industry and to design the matrix of financial situation risk in information technology industry. Then, the paper offers countermeasures and suggestions for the development of our information technology industry.

Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method

Industrial control systems(ICSs)are widely used in various fields,and the information security problems of ICSs are increasingly serious.The existing evaluation methods fail to describe the uncertain evaluation information and group evaluation information of experts.Thus,this paper introduces the probabilistic linguistic term sets(PLTSs)to model the evaluation information of experts.Meanwhile,we propose a probabilistic linguistic multi-criteria decision-making(PL-MCDM)method to solve the information security assessment problem of ICSs.Firstly,we propose a novel subscript equivalence distance measure of PLTSs to improve the existing methods.Secondly,we use the Best Worst Method(BWM)method and Criteria Importance Through Inter-criteria Correlation(CRITIC)method to obtain the subjective weights and objective weights,which are used to derive the combined weights.Thirdly,we use the subscript equivalence distance measure method and the combined weight method to improve the probabilistic linguistic Visekriterijumska Optimizacija I Kompromisno Resenje(PL-VIKOR)method.Finally,we apply the proposed method to solve the information security assessment problem of ICSs.When comparing with the existing methods such as the probabilistic linguistic Tomada deDecisão Iterativa Multicritério(PL-TODIM)method and probabilistic linguistic Technique for Order Preference by Similarity to Ideal Solution(PL-TOPSIS)method,the case example shows that the proposed method can provide more reasonable ranking results.By evaluating and ranking the information security level of different ICSs,managers can identify problems in time and guide their work better.

Digital twin system framework and information model for industry chain based on industrial Internet

The integration of industrial Internet,cloud computing,and big data technology is changing the business and management mode of the industry chain.However,the industry chain is characterized by a wide range of fields,complex environment,and many factors,which creates a challenge for efficient integration and leveraging of industrial big data.Aiming at the integration of physical space and virtual space of the current industry chain,we propose an industry chain digital twin(DT)system framework for the industrial Internet.In addition,an industry chain information model based on a knowledge graph(KG)is proposed to integrate complex and heterogeneous industry chain data and extract industrial knowledge.First,the ontology of the industry chain is established,and an entity alignment method based on scientific and technological achievements is proposed.Second,the bidirectional encoder representations from Transformers(BERT)based multi-head selection model is proposed for joint entity–relation extraction of industry chain information.Third,a relation completion model based on a relational graph convolutional network(R-GCN)and a graph sample and aggregate network(GraphSAGE)is proposed which considers both semantic information and graph structure information of KG.Experimental results show that the performances of the proposed joint entity–relation extraction model and relation completion model are significantly better than those of the baselines.Finally,an industry chain information model is established based on the data of 18 industry chains in the field of basic machinery,which proves the feasibility of the proposed method.

Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China

It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university(GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that: 1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position,while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.

Analysis of Information Sharing Mechanism in the Food Industry Green Supply Chain Management and Operation Process

In order to effectively address the issues of environmental pollution and food safety in food industry,the green supply chain management should be used in the food industry.However,information sharing is the basis of supply chain management.For this purpose,on the basis of describing the connotation of food industry green supply chain management,the paper introduces the contents and the effects of information sharing mode in detail.It focuses on the barriers of the implementation of information-sharing mechanisms in the food industry green supply chain management and operation process and analyzes the necessity of using information sharing mechanism among the members of the food industry green supply chain management mode by game theory,so as to strengthen the competitiveness of enterprises through supply chain management.

A Dairy Industry Information Cooperative Service System Based on a Production Process Ontology

Agricultural information cooperative services （AICS） are now becoming an important aspect of agriculture informatization. This study offers an ontological conception of the agricultural production process, establishing operational divisions corresponding to both the stages and the fundamental information requirements of the dairy industry production process in China, yielding a process ontology for the dairy industry as well as a business chain model. A framework for a dairy industry information cooperative service system was established, with service functions realized in a prototype system. The resulting agricultural process ontology built on the basis of biological characteristics has advantages as a classification standard for agricultural information; whereas the business chain model based on this agricultural process ontology allows for an effective distribution of agricultural information cooperative services. This study outlines a concept and demonstrates a prototype of a cooperative service capable of integrating diverse online agricultural information relevant to the dairy industry in China.

Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems

In recent years, the increasingly complexity of the logistic and technical aspects of the novel manufacturing environments, as well as the need to increase the performance and safety characteristics of the related cooperation, coordi-nation and control mechanisms is encouraging the development of new information management strategies to direct and man- age the automated systems involved in the manufacturing processes. The Computational Intelligent (CI) approaches seem to provide an effective support to the challenges posed by the next generation industrial systems. In particular, the Intelligent Agents (IAs) and the Multi-Agent Systems (MASs) paradigms seem to provide the best suitable solutions. Autonomy, flexibility and adaptability of the agent-based technology are the key points to manage both automated and information processes of any industrial system. The paper describes the main features of the IAs and MASs and how their technology can be adapted to support the current and next generation advanced industrial systems. Moreover, a study of how a MAS is utilized within a productive process is depicted.

Research on Internal Control Information Disclosure of Real Estate Industry-Taking Taihe Group as an Example

After the outbreak of the Enron incident in the United States, China’s attention to internal control information disclosure has gradually increased. As a pillar industry of the national economy, real estate industry internal control system is sound, which has an important impact on social stability and healthy economic development. Therefore, this paper selects a company in the real estate industry, through the analysis of its internal control information disclosure, finds out its existing problems, and puts forward practical and feasible suggestions.

The Rural Information-based Construction under the Perspective of Expanding Agricultural Industrial Chain

On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.

Industrial Automation Information Analogy for Smart Grid Security

Industrial automation or assembly automation is a strictly monitored environment,in which changes occur at a good speed.There are many types of entities in the focusing environment,and the data generated by these devices is huge.In addition,because the robustness is achieved by sensing redundant data,the data becomes larger.The data generating device,whether it is a sensing device or a physical device,streams the data to a higher-level deception device for calculation,so that it can be driven and configured according to the updated conditions.With the emergence of the Industry 4.0 concept that includes a variety of automation technologies,various data is generated through numerous devices.Therefore,the data generated for industrial automation requires unique Information Architecture(IA).IA should be able to satisfy hard real-time constraints to spontaneously change the environment and the instantaneous configuration of all participants.To understand its applicability,we used an example smart grid analogy.The smart grid system needs an IA to fulfill the communication requirements to report the hard real-time changes in the power immediately following the system.In addition,in a smart grid system,it needs to report changes on either side of the system,i.e.,consumers and suppliers configure and reconfigure the system according to the changes.In this article,we propose an analogy of a physical phenomenon.A point charge is used as a data generating device,the streamline of electric flux is used as a data flow,and the charge distribution on a closed surface is used as a configuration.Finally,the intensity changes are used in the physical process,e.g.,the smart grid.This analogy is explained by metaphors,and the structural mapping framework is used for its theoretical proof.The proposed analogy provides a theoretical basis for the development of such information architectures that can represent data flows,definition changes(deterministic and non-deterministic),events,and instantaneous configuration definitions of entities in the system.The proposed analogy provides a mechanism to perform calculations during communication, using a simpleconcept on the closed surface to integrate two-layer cyber-physical systems(computation, communication, and physical process). The proposed analogyis a good candidate for implementation in smart grid security.

“Products-Knowledge” Two-Dimensional Increment Model of Fashion Industry Value Chain Based on Industry Analysis

Fashion industry has a complex characteristic for it spans the first, second, and third industries. In addition, the characteristic of creative industry has high value-added for its knowledge outputting, which makes the traditional value-added analysis based on supply chain not easy and good enough to interpret its industry value-added features. From the perspective of "products-knowledge" two-dimensional analysis,a fashion industry value chain increment model is built,by simulating the process of "product flow" and "information flow" value-added. The fashion industry value chain increment model provides an effective way for the enterprise strategy formulation and production strategy adjustment.

Landscape Design Talents' Knowledge and Ability Structure Based on Industry Demands

Knowledge transference and ability training are 2 standing points and starting points for the industry demands-oriented talent cultivation of modern higher education.In terms of landscape design knowledge,the landscape design industry requires 3 major knowledge modules,namely basic knowledge and theories,professional knowledge,and relevant knowledge;in terms of ability,it also requires 3 major ability modules,namely computer-aided design(CAD),design performance ability and ability of making conception,and each of them includes many specific knowledge points and ability points.It is important for such teaching processes as real question and proposition teaching,studio teaching and project-led teaching to propose a dual-track talent cultivation scheme focusing on both theoretical knowledge and practical ability according to the needs of landscape design industry.Moreover,it is imperative to arrange relevant courses and curriculum group that reflect knowledge and ability demands,as well as practicing courses or comprehensive design projects based on ability structure.

What China and India can Iearn from each other in the information industry

China’s information industry,including its hardware manufacturing and infrastructure,is larger in size than India's,but India is stronger in software R&D and IT competence. This paper presents an overview of the information industry in both countries,and reveals the challenges posed by lack of innovation,over-reliance on foreign markets and uneven software and hardware development. Comparative studies in this field provide reference for both countries to improve their industrial structure and pursues solid growth.

External Incentive Mechanism Research on Knowledge Cooperation-Sharing in the Chinese Creative Industry Cluster

The creative industry is a knowledge-based industry,but it is difficult and complex to create knowledge for enterprises.The principle of cooperationsharing posits that companies’limited resources prohibit them from gaining a competitive advantage in all business areas.Therefore,cooperation-sharing can help businesses overcome this hurdle.Cooperation-sharing expedites economic development,breaks the barrier of independent knowledge creation,and enhances resource utilization.However,the effectiveness and stability of knowledge cooperation-sharing are key problems facing governments and other regulators.This study can help regulators promote honesty in enterprise cooperation-sharing.Based on the hypothesis of bounded rationality,the evolutionary game theory was used to construct the“Enterprises–Informal Institutions–Government”tripartite game matrix.Next,based on this game matrix,a simulation analysis method was used to analyze the effects of external incentives on the stability of evolutionary strategies.The analysis shows that the strategic choice of the“Enterprises–Informal Institutions–Government”tripartite game could be affected by the initial state strategy choices of the other two players,but more influential were the cost and external incentive levels of the game players.The results indicate that the government and informal institutions should regulate enterprises with a rational external incentive mechanism that boosts the enterprises’incentive to cooperate honestly.Thus,an effective external incentive mechanism can significantly improve the probability of enterprises behaving honestly in cooperation-sharing and promote the development of the creative industry.

Study on the Development of the Chip Information Industry Based on Moore’s Law

Chips are the carriers of ICs (integrated circuits). As a result of design, manufacturing, and packaging and testing processes, chips are typically wholly independent entities intended for immediate use. According to known data, one unit of chip output can drive up to ten units of output in the electronic information industry and 100 units of GDP (Gross Domestic Product). The Chip Information Industry is a strategic industry in most developed countries in Europe and North America. The development of the Chip Information Industry is related to national economies and personal livelihoods. Moore discovered a certain trend after analyzing data: in general, every newly produced chip has twice the capacity of the previous generation, and it takes 18 to 24 months for the next generation to be subsequently invented. This trend has come to be known as Moore’s Law. It applies not only to the development of memory chips but also to the evolutionary paths of processor capability and disk drive storage capacity. Moore’s Law has become the basis of performance prediction in several industries. However, since 2011, the size of silicon transistors has been approaching its physical limit at the atomic level. Due to the nature of silicon, additional breakthroughs in the running speed and performance of silicon transistors are severely limited. Elevated temperature and leakage are the two main sources that invalidate Moore’s Law. To counter these issues, This paper analyzes specific problems challenges in the Chip Information Industry, including the development of carbon nanotube chips and fierce competition in the international Chip Information Industry. In addition, this paper undertakes a critical analysis of the Chinese Chip Information Industry and countermeasures to Chinese Chip Information Industry development.

The Necessity of Information Security in the Vulnerable Pharmaceutical Industry

The pharmaceutical industry produces billions of dollars in sales each year. The industry is evolving and relying on using technology more and more to conduct day-to-day business. The pharmaceutical industry generates enormous amounts of sensitive and private information such as medical records, employee information, financial data and research data. This makes the pharmaceutical industry vulnerable to cybercrime. The pharmaceutical industry has a big responsibility to stakeholders, patients, employees and customers all over the world to ensure this information is secure. It is imperative for organizations to budget adequate amounts of money and resources to have effective Information Security Management. Information Security Management is critical in the pharmaceutical industry and the alternative of not having it would be devastating to a pharmaceutical company. Cyber criminals can tarnish company reputations and the effects can take years to overcome. The main contributions of this paper will be to describe the concerns about the security of information in the pharmaceutical industry, provide examples of organizations that are victims of cybercrime, describe regulations in place to help reduce information security breaches and illustrate why information security is necessary in the pharmaceutical industry.

Modern Electronic Information Industry to Promote Economic and Social Information—An Interview with Electronics Industry Minister Hu Qili

Spurred by the world information tide, China has organized a series of information projects, called the "Three Gold" projects. Recently I had an interview with Mr. Hu Qili, Minister of Electronics Industry, about the establishment of China’s modern Electronic Information Industry. Mr. Hu told me that information is the mark of development of a modern society and electronics is the major means of carrying information. Establishing

Gold Projects of China's Electronic Information Industry

The news that China’s electronicinformation industry would carryout the Three Gold Projects received astrong response around the world,especially from the transnationalcompanies engaged intelecommunications, computers andinformation networks. IBM, Unisys, Visa,Siemens, Intel, AT＆T, Bell, Dell, NTT,NEC, 3COM and Fujitsu came to Chinato hold talks with potential clients andshowed their products with a view totaking a share in this big market. With the emergence of the country’selectronic in formation industry in the early1980s, the national electronic computerand large integrated circuit leading