Intelligent Information Management System Research Articles

Retracted: Research and Application of Cloud Platform-Oriented Intelligent Information Management System

Retracted: Research and Application of Cloud Platform-Oriented Intelligent Information Management System

Antecedents and Consequences of Smart Management Information System for Supervision to Improve Organizational Performance

This study aims to determine the management information system based on a smart system (Smart SIM) which depends on user satisfaction and its impact on organizational performance. The study of the intelligent system-based supervisory management information system (Smart SIM) was analyzed based on the theory of Public Policy, Management Information System, and Supervision Management. The context of this research is the organization of the ministry of defense in Indonesia. Data was collected using a questionnaire for 100 managers related with MIS. Data analysis used partial least square (PLS). The results of the study found that user satisfaction has a positive and significant effect on Smart SIM and Organizational Performance. Smart SIM also has a positive and significant effect on Organizational Performance. Smart SIM mediates the effect of User Satisfaction on Organizational Performance. Based on the research findings, it is known that the management of supervisory management information system policies is very necessary to provide information to stakeholders. The results of this study also provide input on the need for regulation and implementation of better policies on supervisory management information systems in the organizational policies of the ministry of defense in Indonesia

An Intelligent Energy Management Information System with Machine Learning Algorithms in Oil and Gas Industry

Oil and gas will continue to play an increasingly important role in global economy development and prosperity for the upcoming years. However, a fact which sometimes is ignored is that the oil and gas industry is an intensive energy-consumption industry and a major contributor to greenhouse gas emissions as well. Recently, with the arrival of the “double carbon” era, the energy-intensive production of oil and gas has caused people to pay more attention. Currently, big data technologies as well as the Internet of things (IoT) are developing at a rapid pace, and the metering infrastructure technology also shows huge advancement; oil and gas companies have built many information systems and developed many functions to acquire the energy consumption and oil production data for the aim of reducing the oil production cost via the emerging information technologies, and it turned out that these investments do improve the energy efficiency and lower oil production cost. Unfortunately, due to the different development standards, some systems store the same data with different values; so, therefore, there is a “data barrier” among these systems and somehow discount the share and analysis of these data resources. To this end, in our work, based on these rich data resources from the other information systems, we discussed an intelligent energy management information system with four machine learning algorithms to enhance the analysis of data resources over energy consumption and oil production. First, we presented the innovation of energy consumption data fusion with the method “Data Lake”; then, four different machine learning algorithms: Support Vector Machine (SVM), Linear Regression (LR), Extreme Learning Machine (ELM), and Artificial Neural Networks (ANN) are installed in the proposed system for predicting the oil and gas production and total energy consumption. In order to aggregate these data into dashboard views that help managers make decisions about operations, we also demonstrated the process of energy consumption data visualization with emerging open-source software tool ECharts. Finally, a real life application of the proposed system was summarized in case of total energy consumption prediction and the system output shows good prediction accuracy which proves the feasibility and benefits of the intelligent energy management information system.

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.

Artifical Neural Network for Forecasting Electricity Consumption in Energy Enterprises

The concept of "Digital Transformation 2030", which defines the national goals and strategic objectives of the development of the Russian Federation for the period up to 2030, specifies specialized goals and objectives. These goals and objectives are an important message for the introduction of intelligent information management systems based on digital technologies in the electric power industry in general and energy consumption in particular. The main challenges for the transition to digital transformation are: increasing the rate of tariff growth for the end consumer; increasing deterioration of the network infrastructure; the presence of excessive network construction; increasing requirements for the quality of energy consumption. Based on the above, this article is devoted to the development of a method for the formation of an intelligent con­trol system at an energy enterprise by obtaining an early forecast of the amount of electricity required. The predicted values will help not only to increase the energy efficiency of the company through the implementation of specialized energy saving measures, but also to reduce the financial costs of electricity. The solution to this problem is presented in the form of an intelligent neural network system. The main advantages of this artificial neural network are versatility, high-speed and accurate learning, as well as a small amount of training data. The artificial neural network itself is based on the freely distributed TensorFlow machine learning software library, and a modified error backpropagation method is used as training, the main difference of which is the addition of an artificial neural network learning rate increase factor. The results of the analysis of the effectiveness of the method showed that the proposed intelligent neural network system is more accurate (including relative to similar solutions): the average error does not exceed 3.08 % over the entire time of the experiment. This will allow companies to carry out energy saving measures, which will be especially useful in the current economic realities.

Research and Application of Cloud Platform-Oriented Intelligent Information Management System

In order to realize unified deployment and system planning of various types of information and diverse needs, the author proposes an educational information management platform using cloud computing technology. The author introduces the layered architecture and platform advantages of cloud computing technology. Combining the advantages of cloud computing technology with the characteristics of the construction of educational information management platforms in colleges and universities, the B/S architecture is established, and the architecture model of the educational information management platform based on cloud computing technology is designed; the model includes user access layer, SaaS layer, PaaS layer, and IaaS layer, then analyze the functional modules of the platform design. Based on the Linux operating system server terminal, using Apache as the Web application server, the JSP system page was developed and established a SQL Server database, which includes information tables such as users, departments, teachers, courses, teaching resources, and statistical analysis. Finally, the application effect of the education information management platform based on cloud computing technology is analyzed. Experimental results show that the platform was tested, and it was found that the accuracy of system data operation was greater than 90%; the system ran stably and smoothly for more than 2 hours; 200 people could use the system at the same time; the system response delay was less than 3 seconds. Conclusion. The educational information management platform can be user-oriented, meet the personalized application needs of teachers and students in schools, and provide strong technical support for teaching experience innovation.

Construction of Sports Training Management Information System Using AI Action Recognition

With the development of science and technology, more and more fields have begun to use AI to provide convenient services for humans. Artificial intelligence (AI) refers to a new technology that uses human thinking to respond accordingly through computers and robots to assist human beings. Action recognition is an important research project that needs to be broken through in many industries, such as security system, martial arts instruction, and dance training. This paper aims to study a method for action recognition using AI technology and to build a sports training management information system. In this paper, a recognition model and related algorithms using a convolutional neural network (CNN) are proposed, and an intelligent sports training management information system is constructed. The system and the model are tested, the action recognition effect of 60 athletes in a university is tested, and the comparison with the traditional recognition algorithm is carried out. The results show that the CNN recognition accuracy test results used in this paper are generally more than 90%, while the traditional recognition accuracy rate is only about 75%, and the highest is not more than 86%; the training management information system of this paper takes about 15.7 s, and the maximum time is not more than 10 s, while the traditional recognition system takes about 15.7 s, which is about twice the time of the system in this paper. Therefore, it shows that the CNN recognition method in this paper has a significantly better effect on the recognition of athletes’ movements, and the sports training management information system constructed in this paper is less time-consuming and faster and has certain feasibility.

Research and Implementation of Mobile Internet Management Optimization and Intelligent Information System Based on Smart Decision.

The way by which artificial intelligence is implemented is similar to the thinking process of the human brain. People obtain information about external conditions through five senses, namely, vision, hearing, smell, taste, and touch, and, through the further processing of the brain, it forms meaningful decision-making elements. Then, through the process of analysis and reasoning, further decisions are made. In the information age, the application of intelligent management information systems in various fields has promoted the modernization and intelligence of social development. From the perspective of intelligent decision-making, this paper analyzes the requirements of intelligent information systems and designs an intelligent information system based on mobile Internet management optimization, including system management optimization, and proposes an environment-based layer, network transport layer, and the three-tier system architecture of the smart service application layer. Finally, this paper considers the problem of data fusion after system expansion. According to the existing fuzzy fusion algorithm, a weight-based fuzzy fusion algorithm is proposed. The simulation analysis shows that the algorithm can be effectively applied in intelligent information systems.

Studying and applying bim in the design automation of reinforced concrete abutments bridge according to TCVN 11823:2017 standard

The article mentions the research and application of intelligent information management systems in project implementation steps from design to construction. Use modern computer software to simulate building details on 3D models, intuitive and easy to control. Researching the current modeling technology in construction, thereby serving as the basis for the application of BIM model in the design of reinforced concrete abutment according to TCVN 11823: 2017 and detecting conflict in construction. The topic resolved a real project by using the BIM process following the required technical standards, thereby evaluating the applicability and analyzing the advantages of the model in project information management.

An Intelligent Information Management System for Retinal Image Storage and Recognition in Chronic Disease using Digital Signal and Image Processing

Retinal imaging plays a very significant role in the study of retinal vasculature changes indicative of chronic disease information related to vision. This study investigates the invulnerability of retinal image information in the disease information system and assesses the quantitative method of the morphological changes in the retinal vascular network. In this work, the medical digital image transmission protocol Digital Imaging & Communications in Medicine (DICOM) version 3.0 and the retinal image Picture Archiving & Communication System (PACS) were constructed in the laboratory using browser/server mode. Also, the DICOM-SR document was designed in this article using a list or hierarchy, and the retinal images to report the information of patients by using the Hypertext Transfer Protocol (HTTP) – based Web Access to DICOM Persistent Objects (WADO) approach. The results showed that the retinal image PACS system constructed in Browser/Server mode can effectively store and transmit DICOM images. When the imaging device is combined with the application program, special adapters are used to negotiate the transmission syntax. The message flow is decoded in the communication process, which can be connected with the realization to improve the efficiency of information collection. The proposed PACS system integrates the quantitative features of retina providing more meaningful research data for data mining in comparison to the traditional state of the art methods based on chronic disease management system. The diagnostic ability of the retinal imaging procedure using the DICOM images is justified by obtaining 98.51%, 98.04%, 99% and 99.01% of accuracy, sensitivity, specificity and precision values respectively.

Applications of Artificial Intelligence in Evolution of Smart Cities and Societies

Applications of Artificial Intelligence in Evolution of Smart Cities and Societies

Tourism Management System Based on mobile Internet

With the development of cloud computing, Internet of things, mobile communication, mobile Internet and other technologies, the development of intelligent, multi-dimensional and all-round tourism management information system has become the development trend of tourism informatization. This paper studies and realizes a mobile, information, intelligent and personalized intelligent travel service system for tourism industry by comprehensively utilizing the tracking and registration technology based on location and multi-sensor, tile map technology, 3D landscape map technology and virtual reality Superposition Technology of mobile augmented reality system. The system can provide a new perspective for tourists to understand the surrounding landscape and get a new interactive experience. The system includes three-dimensional landscape map, virtual roaming, route navigation, environment identification, historical building query, thermal map display, friend footprints, personal trajectory, Wechat sharing and other functional modules. Tourists can enjoy more convenient travel services at the same time. The model proposed in this paper has a certain reference value for the study of tourism management system.

Research on holographic image and hierarchical classification evaluation of power suppliers based on Intelligent System

Based on the current new situation, not only to more scientific assessment of the supplier’s equipment quality and technical level, but also on this basis to take into account the equipment in the supply chain life cycle of the production, procurement, operation and decommissioning of the cost, through the evaluation of equipment quality and cost, to achieve the asset-wide life cycle management of the supplier intelligent evaluation, the establishment of supplier intelligent evaluation management information system in order to achieve the establishment and perfection of supplier classification performance evaluation management system.

Intelligent management information system of urban planning based on GIS

With the development of urbanization, the application of GIS technology is more and more extensive. This study mainly discusses the development of urban planning intelligent management information system based on GIS. To design and build a rule-detailed spatial data model, provide the physical model and the data model corresponding to the logical layer from top to bottom in all steps, based on the attribute information stored in the Geodatabase model. According to the parameters set, connect to the database through the Oracle Connection class. The defined query criteria are converted into SQL statements that are executed using the Oracle Command class. Multi-source data integration middleware integrates various data formats with a GIS software format conversion tool or direct reading tool and then uses the geometric encoding semantics of data dictionary to represent the integrated data of system data model after merging. Property queries use the interactive search function for properties and spatial information to query the land use index for a particular area of the chart. If there is a scene roaming request from the input device, the 3D scene needs to be adjusted according to the input. Display the scene effects of a 3D virtual demonstration on a computer monitor. Start the GIS management operation function to deal with the case, and realize the user’s management of the urban planning system function with the concept of stratification. Fuzzy recognition mode is applied to identify the degree of the environmental impact of eco-city planning. The impact of urban planning on the environment is H ≈ 0.11 (0.1 < H < 1), which meets the expected standard. The results show that the system demand evaluation designed in this study is good, and the overall operation of the system is relatively stable, which plays a promoting role in urban planning.

Application of GIS technology in the construction of urban traffic sharing multimedia information platform

With the gradual maturity of geographical multimedia information system, applying geographical multimedia information system to urban intelligent traffic management information system and urban traffic sharing information platform can realize unified management and real-time update of traffic information. Through the urban traffic sharing information platform, it can increase the value of information. The multimedia information of the entire intelligent traffic management system can be stored, organized and processed by the shared multimedia information platform. It can more effectively ensure the correctness, comprehensibility and avoid redundancy of data relationships. Then it improves the utilization and transmission speed of multimedia information in the system. The urban traffic multimedia information management system has improved the use efficiency of urban road construction in China. And it also made the traffic multimedia information system more scientific and intelligent. It can also improve its management level and play an important role in urban traffic management. This paper first briefly analyzes the current traffic situation and the development of intelligent traffic multimedia information system in China. The basic concepts of GIS and urban intelligent transportation system based on GIS are introduced secondly. At last, the possibility about GIS as urban intelligent traffic management system sharing multimedia information platform is analyzed. The system framework and the basic function of GIS platform are put forward, and the application of GIS in urban traffic common information platform using the key technical support was discussed. It expounds the application of GIS in urban traffic common multimedia information platform.

Methodical approaches for creation of intelligent management information systems by means of energy resources of technical facilities

As part of the development of the digital economy both abroad and in the Russian Federation, the management of energy resources based on the use of digital technologies is one of the key tasks in improving infrastructure in order to ensure the efficient functioning of technical facilities providing the operation of capital construction projects. Currently, the spread of information and communication technologies is the basis for the development of intelligent management information systems for energy resources, which requires further theoretical and practical studies and the development of conceptually new methodological approaches to the formation of these systems. As a result of the study, the authors have identified problems in the Russian energy sector and defined methodological approaches to improving energy management systems in the functioning of intelligent buildings and structures. The result of the study is an algorithm for creation of a server center for energy consumption reduction during the operation of utilities and electrical equipment of intelligent buildings and structures, real-time monitoring of energy consumers and forecasting the energy consumption of intelligent structures and buildings (ISB), which will provide for accumulation of data necessary for optimal energy planning and will improve the soundness of management decisions.

The Model Design of Mobile Resource Scheduling in Large Scale Activities

Large scale exhibition is a complex crowd system, providing quality service for many tourists is an important issue that managers must pay attention to. Intelligent information management system should adopt scientific and reasonable resource scheduling sche-me to improve the efficiency of the crowd management. Through the domestic and foreign literature research, this paper points out the deficiencies in the previous research, and analyzes the process of crowd service in large-scale exhibition activities. In order to carry out the management of tourist service resources in the large scale exhibition, the concept model of mobile resource scheduling is put forward, and the detailed introduction of each dimension is presented. Multi-resource scheduling model based on Dijkstra and multi-ant colony optimization algorithms are established respectively. The advantages and disadvantages of the two algorithms are compared through the numerical examples. Dijkstra algorithm is superior to multi-ant colony optimization algorithm in the cost control, but in the running time of the algorithm, multi-ant colony optimization algorithm is better than Dijkstra algorithm. The research has practical significance for the development of scientific and effective population service operation plan and service management plan for large scale exhibition activities.

Концептуальные основы разработки интеллектуальной информационно-управляющей системы обеспечения региональной безопасности Мурманской области

Концептуальные основы разработки интеллектуальной информационно-управляющей системы обеспечения региональной безопасности Мурманской области

Integration and Development of Intelligent Building Equipment Management Information System

The development of Internet and communications technology have brought great influence on people in every area and changed people's lifestyle since the 21st century. With the accelerating pace of urban construction, technological innovation, a gradual increase in the level of economic development, intelligent building become a comprehensive reflection of the level of science and technology economy countries, regions, and even cities as a result of technological innovation. It has become an important pillar of the development of the construction industry. It is not only the new lifeblood of economic development, but the lifeblood of human beings sustainable development. Intelligent building provide people with a comfortable, universities, secure and convenient environment. This paper described the concept of intelligent building equipment management information system as well as its history firstly, then discussed the major equipment management information system of intelligent building, finally, researched on integrated development of intelligent building equipment management information management system, and made a wonderful prospect of the future of the development of intelligent buildings.

Prospects for implementing embedded automatic speech recognition systems based on the RISC microcontrollers

The implementation of automatic speech recognition systems as a part of the sound interface of intelligent information management systems promotes an increase in the efficiency of human interaction with these systems. Lately, the research in the field of embedded automatic recognition systems is especially of a high interest. This article analyzes the prospects of the implementation of embedded automatic speech recognition systems based on high-performance RISC microcontrollers. The advantages have been substantiated of such an implementation in comparison with other solutions in this area. The characteristics of high performance microcontroller families have been compared. The possibility of implementing each stage of recognition tasks using microcontroller systems has been explored.