Construction Of Information System Research Articles

Research on the transformation of Human Resource Sharing Center under the background of Artificial Intelligence - Take Haier Group as an example

With the reform of industry 4.0, Internet of Things and other modes, sharing economy is booming as a new economic form. Through the integrated utilization of excess capacity and idle resources, enterprises build platforms for sharing technology, finance and human resources to achieve win-win scale benefits shared by users. Senior managers of enterprises re-examine the role of HR, and organize human resource management, build a human resource-sharing center, and centralize, standardize and specialize transactional human resource base services. With the background of artificial intelligence, this paper studies the intelligent transformation of the human resource-sharing center of Haier Group. Using human resources sharing center theory analysis of Haier group human resources sharing center operation status, based on zero signature, zero delay and zero distance of the best experience goal, from the guest induction, pay payment and information system construction three key business, business process analysis, found that induction process, low efficiency, business consulting information lag and talent structure. Through in-depth analysis of the causes of the problem, business process optimization, and use artificial intelligence information technology business model innovation, induction process, pay process, information system and other business modules and talent development channel and talent cultivation system transformation to save operating costs, improve efficiency and organizational efficiency. Through the study of the transformation case of the human resource-sharing center of Haier Group, it can provide successful models and reference for the construction and transformation of the human resource-sharing center of other enterprises, and enrich the theory of the human resource-sharing center.

Research on Internal Control Optimization of Geological Team A

At present, there are still many areas for improvement in the internal control construction of Geological Team A. The construction of systems, organizations, decision-making, information systems, and other aspects is weak, and the processes of budgeting, revenue and expenditure, procurement, and construction are not standardized. The execution and supervision of internal control are also inadequate, and the effectiveness of internal control is greatly reduced. This has exposed many risks in the business development of Geological Team A, which has long been detrimental to the survival and competition of the unit in the industry. Therefore, this article takes Geological Team A as the research object, based on the framework of "Unit Internal Control Standards", and referring to relevant research on internal control, geological exploration institutions, and internal control of public institutions at home and abroad, analyzes the current situation of internal control of Geological Team A from the unit level and business level, summarizes the problems of internal control, and proposes feasible optimization measures based on the actual situation of the unit, Intended to improve the internal control system of Geological Team A, enhance its comprehensive strength, and provide some reference for the internal control construction of other geological exploration institutions.

Advantages and Development Prospects of Building Information Modelling (BIM) Technology Application in Highway Engineering

Based on the advantages of the application of Building Information Modelling (BIM) technology in highway engineering, this paper analyzes the difficulties of its in-depth application, grasps the pain points of the application of BIM technology in practice, and approaches from the integration of BIM design-construction. This paper also puts forward the integration of cross-stage information based on the BIM + Geographic Information System (GIS) construction information management system to realize the BIM whole life cycle management, and provides directional support for the continuous and efficient application of BIM technology in engineering practice.

Management of data flows in modern industry using blockchain

Recent research and publications. "Industry 4.0" is a concept of the industrial revolu-tion, which is based on the use of modern technologies and digital innovations in production and distribution processes. The introduction of the concept of "Industry 4.0" was designed to improve the competitiveness of European industry and increase productivity and product quality. A blockchain is a distributed data structure that is replicated and distributed among network members. The purpose of the study is to improve automation processes, increase efficiency, re-duce delays and errors in information systems of industry and supply chains by using block-chain technologies in the construction of information systems. Main material of the study. The paper makes an analysis of approaches and algorithms to data management in "Industry 4.0" information systems. Blockchain algorithms are com-pared to classical approach with other databases in the client-server architecture. Conclusions. By implementing algorithms based on blockchain technology, namely by using the Merkle Tree, digital signature technology, and by using consensus algorithms in the framework of decentralized data storage in Distributed Ledger Technology, the processes of automation and efficiency in data flow management are improved, providing a secure and transparent way to store and share data that reduces delays and errors in industry informa-tion systems and supply chains.

Green Financial Supervision Information System Based on Genetic Algorithm Optimization under Carbon Peaking and Carbon Neutrality Goals

Under the guidance of “carbon peaking and carbon neutrality”, “ecological priority” and “green development” have become the popular consensus, and the financial regulatory level continuously guides financial institutions to increase investment in green and low carbon projects. In the field of green financial supervision in China, due to imperfect systems and poor adaptability, financial risks are often difficult to control within a reasonable range, which has had a significant impact on financial supervision and management. This article aimed to optimize the green financial regulatory information system under the carbon peaking and carbon neutrality goals. Firstly, this article analyzed the concept and background of green finance regulation; then, an investigation was conducted on the construction of the green finance service information system, and a green finance information system supervision plan was established. Finally, data collection and analysis were conducted, and the supervision of the green finance information system was carried out using a standard genetic algorithm based on a fuzzy evaluation matrix. This article used a genetic algorithm to optimize the green financial regulatory information system, and selected 500 people to evaluate the use of the system before and after the optimization. The proportion of very satisfied people increased from 11.2% to 19.2%; the proportion of satisfied people increased from 17.2% to 37.6%; the proportion of people who were very dissatisfied decreased from 14.4% to 3.6%. The experiment in this article showed that the optimized system could operate more stably, and the process was more reasonable. The statistical analysis ability was significantly enhanced, and the functions were more comprehensive. This suggests that the system could better regulate the development of green finance.

Build land price WebGIS with ArcGIS online and ArcGIS API

Building and completing the land price database contributes to completing the land database, promoting digital transformation, improving the effectiveness and efficiency of the state management of land, while increasing transparency in deciding land prices, increasing interconnectivity and modernizing public land services. However, nationwide land price data has not yet been formed, studied. Reserach projects of the Ministry of Natural Resources and Environment are still mainly focusing on solving land valuation problems and building a land database. In the world, the construction of an online land price information system has been implemented on the basis of WebGIS technology and achieved many good results. This article introduces the process and experimental results of building a land price database in Dong Cuong commune, Yen Lac district, Vinh Phuc province. Tools used in this study include ArcGIS Online, ArcGIS API, Microsoft SQL SERVER; Spatial land price data is built from cadastral spatial data after standardization according to Circular No. 05/2017/TT-BTNMT of the Ministry of Natural Resources and Environment. The experimental results of building a Land Information System identify 4 groups of users: Guests, Members, Data Management and System Administrator. The land price information system is designed in the form of a Web-app, installed on the website with the address: https://giadat.gis-humg.com.

Research on the Method of Hypergraph Construction of Information Systems Based on Set Pair Distance Measurement

As a kind of special graph of structured data, a hypergraph can intuitively describe not only the higher-order relation and complex connection mode between nodes but also the implicit relation between nodes. Aiming at the limitation of traditional distance measurement in high-dimensional data, a new method of hypergraph construction based on set pair theory is proposed in this paper. By means of dividing the relationship between data attributes, the set pair connection degree between samples is calculated, and the set pair distance between samples is obtained. Then, on the basis of set pair distance, the combination technique of k-nearest neighbor and ε radius is used to construct a hypergraph, and high-dimensional expression and hypergraph clustering are demonstrated experimentally. By performing experiments on different datasets on the Kaggle open-source dataset platform, the comparison of cluster purity, the Rand coefficient, and normalized mutual information are shown to demonstrate that this distance measurement method is more effective in high-dimensional expression and exhibits a more significant performance improvement in spectral clustering.

IRS-Driven Cybersecurity of Healthcare Cyber Physical Systems

Intelligent reflective surface (IRS) as one of the most potential 6G key technologies injects new vitality into the smart medical and health system by intelligently configuring the wireless communication environment and spawns the construction of a modern medical information system. Medical data security is a sensitive issue that hospitals are generally concerned about in recent years. There are great hidden dangers to information security in the environment of “cloud storage”. The IRS provides a new solution for enhancing the privacy and security of “cloud storage” medical file data, assisting in the efficient transmission and interconnection of information, and ensuring highly secure and uninterrupted services in healthcare-based cyber physical systems (CPS). Specifically, the modelling in this paper considers the situation where communication over multiple-input single-output (MISO) channel is eavesdropped by a patient spy holding a single antenna receiver, and additionally the patient spy is obscured by an obstacle. One of the multi-antenna base stations (BS) transmits independent data streams to doctors and keeps them secret from patient spies. By jointly optimizing the beamforming at the BS and the phase shift of the IRS reflection elements, the simulation analysis verifies that the introduction of IRS can effectively improve the privacy security of medical data.

A vehicle license plate data access model based on the jump hash consistency algorithm.

The massive amount of vehicle plate data generated by intelligent transportation systems is widely used in the field of urban transportation information system construction and has a high scientific research and application value. The adoption of big data platforms to properly preserve, process, and exploit these valuable data resources has become a hot research area in recent years. To address the problems of implementing complex multi-conditional comprehensive query functions and flexible data applications in the key-value database storage environment of a big data platform, this paper proposes a data access model based on the jump hash consistency algorithm. Algorithms such as data slice storage and multi-threaded sliding window parallel reading are used to realize evenly distributed storage and fast reading of massive time-series data on clustered data nodes. A comparative analysis of data distribution uniformity and retrieval efficiency shows that the model can effectively avoid generating the cluster hotspot problem, support comprehensive analysis queries with various complex conditions, and maintain high query efficiency by precisely positioning the data storage range and utilizing parallel scan reading.

Development the information systems with fuzzy logic algorithms and network optimization

The article is devoted to the problems of construction information systems, consisting of typical parts. The first one is a system for collecting and analyzing geolocation data with fuzzy logic in disasters. The second one — a network to be optimized in terms of total traffic transmission capacity by increasing the power of network equipment with restrictions on their number.

Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review.

Lifestyle-related diseases caused by inadequate diet and physical activity cause premature death, loss of healthy life years, and increased health care costs. Randomized controlled trial (RCT) studies indicate that preventive digital health interventions (P-DHIs) can be effective in preventing these health problems, but the results of these studies are mixed. Adoption studies have identified multiple factors related to individuals and the context in which they live that complicate the transfer of positive results from RCT studies to practical use. Implementation studies have revealed barriers to the large-scale implementation of mobile health (mHealth) solutions in general. Consequently, there is no clear path to delivering predictable outcomes from P-DHIs and achieving effectiveness when scaling up interventions to reduce health problems in society. This research aimed to expand our understanding of how to increase the outcome predictability of P-DHIs by focusing on physical activity and diet behaviors and amplify our understanding of how to improve effectiveness in large-scale implementations. The research objective was pursued through a multidisciplinary scoping review. This scoping review used the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) as a guide. A comprehensive search of Web of Science and PubMed limited to English-language journal articles published before January 2022 was conducted. Google Scholar was used for hand searches. Information systems theory was used to identify key constructs influencing outcomes of IT in general. Public health and mHealth literature were used to identify factors influencing the adoption of, outcomes from, and implementation of P-DHIs. Finally, the P-DHI investment model was developed based on information systems constructs and factors from the public health and mHealth literature. In total, 203 articles met the eligibility criteria. The included studies used a variety of methodologies, including literature reviews, interviews, surveys, and RCT studies. The P-DHI investment model suggests which constructs and related factors should be emphasized to increase the predictability of P-DHI outcomes and improve the effectiveness of large-scale implementations. The research suggests that outcome predictability could be improved by including descriptions of the constructs and factors in the P-DHI investment model when reporting from empirical studies. Doing so would increase our understanding of when and why P-DHIs succeed or fail. The effectiveness of large-scale implementations may be improved by using the P-DHI investment model to evaluate potential difficulties and possibilities in implementing P-DHIs to create better environments for their use before investing in them and when designing and implementing them. The cost-effectiveness of large-scale implementations is unknown; implementations are far more complicated than just downloading and using apps, and there is uncertainty accompanying implementations given the lack of coordinated control over the constructs and factors that influence the outcome.

Retracted: Commodity Information Collection and System Construction of e-Commerce Platform Based on Network Data

Retracted: Commodity Information Collection and System Construction of e-Commerce Platform Based on Network Data

Design and implementation of a process-aware accounting information system to improve business process management

Abstract As one of the core components of enterprise information system, accounting information systems is facing double pressure from the enterprise management environment and the development of accounting discipline, and the functional application-oriented accounting information system is unable to meet the needs of modern enterprise management. To improve the accounting efficiency of enterprises, this paper proposes a process-aware accounting information system based on data mining to improve business process management, hoping to provide some reference values for the design of the accounting information system of enterprises. Based on this paper, the advantages and disadvantages of typical accounting information system construction methods are analyzed and compared, and the feasibility of process-aware accounting information systems for improving business process management is analyzed in terms of enterprise efficiency, accounting cost, accounting time, risk, and control quality. The feasibility of improving the process-aware accounting information system for business process management is analyzed in terms of enterprise efficiency, accounting cost, accounting time, risk, and control quality. The results show that the process-aware accounting information system with improved business process management is economically and effectively feasible, saves time, reduces accounting risks, and improves management control quality of the enterprise. The process-aware accounting information system with improved business process management reduces the accounting cost of enterprise Y. The accounting cost before is between 100,000 and 200,000, while the accounting cost after using the new system is between 80,000 and 100,000. Company Y’s accounting behavior, logic, and convenience satisfaction increased by at least 10-20% with the new system. So, in general, the process-aware accounting information system for improving business process management helps companies to grow and manage.

Simple and Multi Risk Assessment Framework for Information Security using Process Flow Diagram

Organizations need a simple risk assessment framework to understand them. In contrast, risk analysis requires some mathematical tools to be able to estimate risk based on understanding and availability. In practice, the assets, for which the risk will be calculated, are dependent on one another, resulting in inevitable complexity. We propose a framework that addresses these three situations with a process flow diagram. Simplicity is obtained from a conceptual model based on data flow diagrams which are widely used in information system design. This conceptual model can be translated into several risk models at once: graph, Boolean algebra, Boole’s algebra, and set theory. The complexity of asset dependencies is overcome when translating the conceptual model to the risk model. Solutions were shown in case studies of information systems for COVID-19 personal protective equipment in Indonesia, which require the construction of a simple information system, support multiple risk models, and take into account asset dependencies. The multi-risk model enables implementation proofing by testing the risk models used in each other.

Information security of hospital computer network based on SAE deep neural network

Abstract As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.

Design of Asphalt Mixing Plant Industry Information System

Asphalt mixing plant is a production equipment that produces hot mix in the form of a mixture of asphalt with some aggregate materials used as road pavement materials. The asphalt mixing plant produces hot mix which must be at a certain temperature so that it does not harden and cannot be used for road pavement. The accuracy in the delivery time of the product to the location where it will be held determines the quality of the production after it is held on the road media. The existence of an information system is a tool for controlling production costs, in this case hotmix products produced from asphalt mixing plant machines are needed to monitor every production process from several departments that have been worked on so that data management can be done quickly and accurately. Seeing the existing problems, this research aims to design and build an industrial information system for the asphalt mixing plant at PT. Wasis by Nugraha. Tools used in making this system is Visual Basic. The application design method uses the ProtoTyping method. The results of this study are that with the design and construction of an industrial information system for the asphalt mixing plant at PT. Wasis Karya Nugraha received a very good category in the functional suitability aspect and a very appropriate predicate in the usability aspect in helping to overcome conventional system problems in the administration of raw material procurement to the production process, sending finished products to consumers and financial reporting which can be caused by human error.

Construction and Application of Chain Management Information System for Cancer Pain

BackgroundWith the rapid development of information technology, hospital information systems (HISs) have been deeply applied in the medical field and have shown broad application prospects. There are still some noninteroperable clinical information systems that pose an obstacle to the effective coordination of care, such as cancer pain management. AimTo construct a chain management information system for cancer pain and explore its clinical application effect. MethodsA quasiexperimental study was conducted in the inpatient department of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. A total of 259 patients were nonrandomly divided into two groups: the experimental group (after the system was applied, n = 123) and the control group (before the system was applied, n = 136). The cancer pain management evaluation form score, patient satisfaction with pain control, pain score at admission and discharge, and the worst pain score during hospitalization were compared between the two groups. ResultsCompared with the control group, the score of the cancer pain management evaluation form was significantly higher (p < .05). There were no statistically significant differences in worst pain intensity, pain score at admission and discharge, and patients’ satisfaction with pain control between the two groups. ConclusionsThe cancer pain chain management information system can enable nurses to evaluate and record pain in a more standardized way, but it has no significant effect on the pain intensity of cancer patients.

Cost supervision mining from EMR based on artificial intelligence technology.

To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring a complete set of inpatient cost supervision methods. To lay the foundation for applying artificial intelligence (AI) technology in medical insurance cost control supervision and provide feasible paths and available tools for medical insurance cost control managers. By way of collecting and cleaning electronic medical record (EMR) data from 2016 to 2018 of a city in East China, focusing on basic patient information and cost information, and using a combination of machine learning modeling and information system construction, the study tries to form a feasible inpatient cost supervision method and operation path. The set of the regulatory method, applied in nursing homes of a city in East China, is compelling. The accuracy rates of rationality judgement in different main diseases are stable up to 80%, the false positive rate is steady within 10%, and rehabilitation fee days of hospitalization, and the number of complications are important factors affecting the rationality of the inpatient cost. The model construction and optimization method combining machine learning and information system can make practical cost rationality judgement on medical institution's inpatient cost data, which can directly reflect the key influencing factors of relevant inpatient costs, and achieve the effect of guiding medical behavior and improving the efficiency of medical insurance fund use.

Thoughts on the construction of public health informatization for community health archives grass roots management system.

With the development of social economy and the continuous improvement of people's living standards, people expect to receive high-level medical services, and the requirements for medical care are also getting higher and higher. However, there are still objective problems such as rising medical costs, difficulty in seeking medical treatment, uneven distribution of medical resources, low efficiency of medical services, and uneven medical quality. This paper first analyzes the significance of public health informatization construction, focuses on the elements of public health informatization construction, and expounds the status quo of health informatization construction and the existing problems in community health informatization. Then, this paper expounds the construction of public health informatization based on the grass-roots management system of community health records, and discusses the construction of a health information platform centered on the health records of community residents. Afterwards, this paper proposes and studies the functions of the community medical information archives management system from three aspects: the composition of the community medical information archives management system, the problems of system management, and the development requirements of the system, and proposes an algorithm based on a decision tree model to enhance public health informology. Finally, on the basis of experiments and investigations, Internet technology and decision tree model algorithms are introduced into the public health information system construction of the community health archives system to build a new public health information system, and the satisfaction rate can be increased by 23%.

Research on the innovation of Intelligent Student management Assessment Information System based on python software design

In the reform and development of modern education, the construction of intelligent student management and assessment information system based on modern information technology can not only build information management system for the management of colleges and universities, but also deal with the data information scientifically, and provide strong guarantee for the realization of digital and intelligent goals of college education. On the basis of understanding the current situation of intelligent student management and assessment information system innovation, this paper uses development technology to clarify the student management and assessment system, regards artificial neural network as the foundation, and constructs a standardized and perfect index management and assessment model. From the perspective of practical application, the intelligent student management and evaluation information system with software as the core meets the needs of modern education management.