- Research Article
- 10.1287/isre.1120.0442
About Our Authors
- Sep 01, 2012
- Information Systems Research
About Our Authors
The book examines the current state and problems of bioheuristics development, biographical and memetic algorithms, the issues of finding optimal solutions by trajectory algorithms and bioheuristics of multicriteria optimization. Ant and swarm bioheuristics, their features and modifications are presented. Hybrid formic and hypeuruistic swarm segmentation algorithms of complexly structured images are considered as applications. The monograph is interdisciplinary, it is addressed to masters and graduate students studying the theory and practice of creating intelligent information systems and technologies, as well as specialists in the theoretical foundations of computer science, software engineering, system analysis, information management and processing, information systems and processes, bioinformatics.
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About Our Authors
About Our Authors
Research on computer information management and application management
With the rapid development of information technology, the integration of computer application technology and information management has become an inevitable development trend in the new era. The application of computer information management system can not only effectively improve the work efficiency and quality of all walks of life, but also have a strong influence on the further development and progress of society. Computer information management system combines advanced information management methods with efficient technology, which fully demonstrates the importance of computer information management system. This paper deeply analyzes and discusses the application, main defects and related cases of computer information management and application management.
Read moreKONTRIBUSI DISIPLIN DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR KETERAMPILAN KOMPUTER DAN PENGELOLAAN INFORMASI (KKPI) SISWA
This study aims to reveal: 1) How much is the contribution of discipline to the learning outcomes of KKPI students in grade 1 at SMK 5 Seluma. 2) How big is the contribution of Motivation to the learning outcomes of KKPI students in grade 1 at Seluma 5ND VOCATIONAL SCHOOL, 3) There is a relationship of discipline and motivation towards learning outcomes in grade 1 students of SMK Negeri 5 Seluma. 4) How much does Discipline and Motivation contribute to KKPI learning outcomes for students in grade 1 at SMK 5 Seluma. This type of research is a descriptive study with an Ex-post facto approach. This descriptive research is correlational, which is the subject of research is grade 1 students in the field of Electronic Engineering 5 Seluma City Vocational School expertise totaling 78 students. The results of this study include: 1) There is a contribution from the discipline to the results of learning computer skills and information management (KKPI) Class I students at SMK Negeri 5 Seluma. Based on a series of data analysis shows that discipline (X1) to learning outcomes (Y) empirically has a significant contribution of = 78.90% (R2). 2) There is a contribution of learning motivation to the results of learning computer skills and information management (KKPI) Class I students at SMK Negeri 5 Seluma. Based on a series of data analysis shows that learning motivation (X2) on learning outcomes (Y) empirically has a significant effect of = 6.8% (R2). 3) There is a relationship of discipline and motivation to the results of learning Computer Skills and Information Management (KKPI) grade 1 students in SMK 5 Seluma by 89.6%. 4) There is a contribution of discipline and learning motivation to the learning outcomes of Computer Skills and Information Management (KKPI) grade 1 students at SMK 5 Seluma, obtained a correlation coefficient of = 0.896 with a coefficient of determination of = 0.803.
Read moreIntroduction to Healthcare Information Management and Machine Learning
Health information management deals with the collection, storing, analysis, and management of health data. It consists of various fields such as computer science, information science, information management, medicinal, business and data analytics. Machine Learning (ML) in healthcare evolving as an emerging field for healthcare industry. They help in analyzing the health data more effectively and timely. ML is one of the vital regions in the field of software engineering. It gives a streamlined answer for this present reality issues by utilizing past learning or past experience information. There are distinctive kinds of machine learning calculations present in software engineering. This chapter gives the outline of some chosen machine learning methods, for direct relapse, straight discriminant examination, bolster vector machine, innocent Bayes classifier, neural systems, and choice trees. Every one of these techniques is described in detail, which thus helps the reader to create our own answers for the given issues.
Read moreStudy on Computer Information Management Method in File Management
The computer information management is a product of the era of knowledge economy and the information age, is also extremely important resource. Since the current extensive use of computer information technology, information management methods for the archives management in the integration and created a very good chance. Currently, the digital archive has become the consensus of the community and has achieved great results. Using computer technology to implement records management in the past has the great advantage of doing so it is difficult to manage opportunities, and improve management performance can be a good unit of archival work. This article describes the introduction of computer file management information management means outstanding advantages, analyzes the problems in archives management computer information management faced, and described the use of computer information management specific manner in file management.
Read moreApplication Progress of Information Technology in Intravenous Infusion Management System
Intravenous fluid therapy is one of the important treatment methods for hospitalized patients, and it is also an important part of nursing work. Traditional intravenous infusion therapy has many problems in the aspects of medicine preparation, operation, inspection and quality control. The application of intelligent information technology in the field of medical care continues to develop and expand. The construction of nursing information is an inevitable trend for nursing care to adapt to social development. Applying intelligent information technology to intravenous therapy can innovate intravenous infusion nursing operations, optimize nursing service procedures, improve the efficiency of intravenous therapy, ease the imbalance between supply and demand for nursing staff, and ultimately improve patient satisfaction. This article mainly reviews the three aspects of the application of information technology in the intravenous infusion management system, including the IPAD-based mobile intravenous infusion quality management system, the intravenous medication intelligent error management system, and the intelligent equipment to optimize the intravenous infusion treatment process. It is proposed to empower the nursing staff with the application of modern intelligent nursing information technology, and build an overall intravenous therapy collaborative nursing quality management information system, in order to provide a reference for comprehensively strengthening the application of information management in intravenous therapy.
Read moreМЕТОДИЧЕСКИЕ ПОЛОЖЕНИЯ ПО ВЕРОЯТНОСТНОМУ ПРОГНОЗИРОВАНИЮ КАЧЕСТВА ФУНКЦИОНИРОВАНИЯ ИНФОРМАЦИОННЫХ СИСТЕМ. Часть 3. МОДЕЛИРОВАНИЕ СЛОЖНЫХ СИСТЕМ. ИНТЕГРАЛЬНЫЙ АНАЛИЗ
Objective: the purpose of the entire work is to help system analysts involved in assessing the quality of information sys tems (IS) operation during their creation, operation, modernization, development, to form the appearance of a comprehensive probabilistic prediction methodology applicable in the interests of ensuring quality and safety, justifying acceptable risks, identifying significant threats and supporting the adoption of scientifically rational system decisions to proactively counter threats in IS life cycle. The purpose of the 3rd part of the work is to complete the detailing of the general methodological provisions on the probabilistic prediction of the quality of IS operation quality (taking into account the enlarged description of the approach in the 1st part of the article [1] and the presentation of the basics of detailing modeling using «black boxes» in the 2nd part of the article [2]) by proposing: • the formalization of complex modeled systems consisting of parallel-sequential structures formed from «black boxes» and combined using logical connections «AND», «OR»; • the methods of system analysis of the IS operation quality; • the main components of the appearance of a comprehensive methodology for the probabilistic predicting IS operation quality, used by system analysts in the interests of ensuring quality and safety, justifying acceptable risks, identifying significant threats and supporting the adoption of scientifically based system decisions to proactively counter threats in the life cycle of specific IS. Research methods include: methods of probability theory, methods of system analysis. The modeled system is formally represented by «black boxes» and complex systems in the form of parallel-sequential structures formed from «black boxes» combined using logical connections «AND», «OR». The obtained results of mathematical modeling are used in the interpretation of the original IS, in the interests of which the corresponding calculations are carried out. The result of the work as a whole is: based on the research results presented in [1, 2], methodological provisions have been created that form the main components of the appearance of a complex methodology for probabilistic prediction of IS operation quality in accordance with GOST R 59341-2021 «System engineering. Protection of information in system information management process». The use of the proposed methodological provisions is intended to help system analysts form the appearance of a versatile complex methodology of probabilistic prediction, applicable in the interests of ensuring quality and safety, justifying acceptable risks, identifying significant threats and supporting the adoption of scientifically sound system decisions to proactively counter threats in the life cycle of specific IS. Scientific novelty of the work: with the widespread introduction of modern information technology tools and systems, the problems associated with a comprehensive study of the IS operation quality remain acutely relevant. Despite the fact that many system engineering standards have appeared that recommend the use of probabilistic system analysis for various types of systems, in practice, the formation of a set of techniques applicable to predicting quality measures, justifying acceptable risks, identifying significant threats and supporting the adoption of scientifically sound system decisions in IS life cycle causes practical difficulties for system analysts. These difficulties and the use of subjective assessments are related not only to the versatility of the very concept of IS operation quality, but also to the complexity of mathematical formalization, taking into account the specifics of each system. As a result, many important aspects are beyond the analyst's field of consideration, specific quality measures turn out to be incommensurable on a single quantitative scale, and the inverse analytical tasks of proactive threat management in IS life cycle and constituent elements are not solved. I.e., in practice, there is a contradiction between the needs for system analysis of IS and the possibilities for solving urgent problems of system analysis. To overcome this contradiction, the proposed methodological provisions formulate the general purpose of IS operation in various areas applications – to ensure the reliability and timeliness of providing the necessary information, completeness, validity and safety of the information used for subsequent intended use. The main proposed components of the complex methodology of probabilistic prediction of IS operation quality have determined the scientific novelty of this work, focused precisely on achieving this general formulated goal of IS operation.
Read moreIntegration of Computer Application Technology and Information Management of Cloud Computing Technology
Cloud computing is a new technology that utilizes the Internet to provide services to users. In the development process of cloud computing technology, the value of information integration is mainly achieved through the collection, collation, and processing of large amounts of data based on information and networks. In order to improve the integration effect of computer application technology and information management, this article explores cloud computing technology. This article mainly uses experimental testing and data comparison methods to test the information management system under cloud computing technology. The experimental data shows that when the number of users exceeds 400, the CPU utilization can reach a basic level, and the response time of its subsystem does not exceed 5 seconds. The main research achievement to meet the basic requirements is to obtain the concurrent user and CPU usage and usage conditions data table through experiments, and finally summarize the performance test results analysis and discussion.
Read moreThe Impact of Intelligent Information Technologies on Enhancing the Quality and Reliability of Sustainability Reports (An Analytical Study of A Sample of Companies Listed on the Iraq Stock Exchange).
The quality and reliability of sustainability reports are essential factors in enhancing transparency and building trust among stakeholders.With the increasing importance of sustainability, Intelligent information technologies have emerged as a promising tool to improve these reports.Despite the continuous development of Intelligent information technologies, companies face challenges in improving the quality and reliability of sustainability reports to meet stakeholder expectations and achieve transparency, highlighting the need to assess the role of these technologies in enhancing the accuracy and reliability of accounting information.The research aims to analyze the impact of Intelligent information technologies on the quality and reliability of sustainability reports, focusing on modern technologies, To achieve the research objectives, a quantitative approach was adopted using a questionnaire addressed to a sample of accountants and auditors working in companies listed on the Iraq Stock Exchange, as well as auditors in companies and private audit offices, where the sample included 135 questionnaires, of which 113 were returned with a response rate of 83.7%.The research concluded that Intelligent information technologies is pivotal in enhancing the quality and reliability of sustainability reports, increasing transparency and trust between stakeholders, and supporting companies' commitment to sustainability standards.The results also showed that auditors consider Intelligent information technologies a key factor in improving the quality of sustainability reports and reducing errors.The researcher recommends increasing investments in Intelligent information technologies and providing specialized training programs for auditors to ensure the effective use of modern technologies and improve the quality and sustainability of reports.
Read moreHealthcare among the People
The revolution in information technology and in information and knowledge management contributed to the generation of actionable information and actionable knowledge required to address critical problems of national and global health care. Yet, despite expectations, e-based approaches are far from fulfilling the dream of equitable and universal access to health across the globe. A dramatically new approach is needed if health care is to be brought “among the people.” Based on maximum integration of computer technology (CT), information technology (IT), information management (IM), and knowledge management (KM), and multidimensional human expertise, the concept of “Teams of Leaders” (ToL) provides a foundation for such an approach. Utilizing the entire spectrum of IT/IM/KM, irrespective of specific platforms, and harnessing globally distributed human expertise, Teams of Leaders transcend bureaucracies and politics, create “bottom-up” flows of ideas and knowledge, and generate horizontal and vertical collaboration among hitherto isolated actors. By empowering people rather than concentrating on technology-facilitated improvements of processes, ToL may prove to be one of the pivotal concepts behind the desperately needed healthcare revolution.
Read moreSystem Analysis of Information Systems for Local Economic Development Modeling – Case Study for the Region Pelagonia in R. of Macedonia
The system analysis is the necessary activity in designing information systems (IS), especially in creating complex IS which have to satisfy a wide pallet of users’ demands. Installing the IS without expert’s planning and leading can lead to the huge users’ dissatisfaction, and maybe non - usage of system which often the consequent system do not work. This is especially emphasized when we talk about web based IS which demand a strong defined access rules as well as accurate data update procedures. In this paper is made a system analysis and design of IS for local economic development (LED). The problem of LED itself is very important because of the decentralization process that happens in R.of Macedonia in recent year as well as the global crises and the necessity of employment increasing. As an important factor we mention a need of increasing the usage of IS, especially when is concern of the issues that help for the young people’s position. Analysis of the need of IS for LED’s support is made on the couple of present local governments’ (LG) web sites in R.of Macedonia as well as the interviews and a questionnaire of the LER’s responsible in the LG and potential users of this kind of information. The results of this survey are decanting in analysis of the information needs as well as the LED’s support System’s proposition. We are using the structural analysis and logical design of IS as the working’ methodology. For this purpose, a series of systematic undertaken processes were used. These processes, we think, that will enhance the information and usage of computer’s IS in function of business climate and business community’s better information. The proposed model for LED’s support IS which have to cover the users’ demands will be made with creating a redundant databases, loaded whit trigger procedures and intelligent agents.
Read moreIntroduction to the Special Issue—Flexible and Distributed Information Systems Development: State of the Art and Research Challenges
agile information systems, flexible information systems development, distributed information systems development, global software development, software development, special issue
Read moreThe use of intelligent information technologies in the development of managerial decisions during organizational changes
In change management, there emerges the problem of making timely and relevant managerial decisions. During the entire process of change, it is necessary to make decisions that ensure the success of changes, which is rather difficult in conditions of insufficient or, otherwise, abundant information and limited resources. The purpose of the study is to explore the possibilities and present the advantages to using intelligent information technologies in change management. The objectives of the study are to identify the features of decisions made during the period of changes; to identify the factors affecting the implementation of information analytical activities, and to review digital technologies that can accelerate decision making and improve its quality in change management. The results of the study have been obtained on the basis of an analysis of trends in the development of the IT market, the data on the introduction of advanced information technologies into company management for the period of 2020-2021, and an expert survey. Taking into account the formulated requirements for managerial decisions during the period of changes, a methodology for using intelligent information technologies in change management has been developed. Within the framework of the proposed methodology, there is established the relationship between the tasks of change management and information support. There is conducted a review of the digital technologies that can be used in managerial decision-making when implementing changes. The results of the study can be used in the development of an information system model that provides support for managerial decision-making during changes in the company.
Read moreSupporting Learning Information System through Knowledge Management Optimization using Long Short-Term Memory Method
Effective information and knowledge management is vital in many areas, including higher education. The use of artificial intelligence (AI) technology, especially the long short-term memory (LSTM) information system performance patterns in the educational world. This article explores the application of LSTM to optimize knowledge management in colleges, focusing on the prediction of information systems performance. The proposed methods include text classification steps, with measures such as data collection, data pre-processing, word representation, classification, and evaluation. The test results showed that the LSTM model managed to classify reviews labeled positive, neutral, and negative with an accuracy of 33.33%. However, the success of the model was limited by the size of the data set and the pre-processing involved. This research recommends further development with the addition of experimental data, proper preprocessing adjustments, and better hyperparameter identification to improve the accuracy of the prediction results. Keywords: information management, artificial intelegence, LSTM, text classification, knowledge management, accurate prediction
Read moreCourse Reform of Mobile Device Programming for Information Management and Information System
Although the specialty of information management and information system has already started mobile development courses, the current course orientation is not clear, and therefore the teaching plan, teaching content and experiment plan are not targeted. Aiming at this problem,we studies the teaching purpose and content of the mobile development course for specialty of information management and information system, and designs the experimental case base of information management and information system. By proposing training program for mobile device information system design curriculum, we designs and improves information system case base for mobile device, making students majoring in information management and information system master the basic function of mobile development, and design and develop multiple system oriented information system client and server. For information management and information system majors who have good information system development capabilities, they need not to increase investment in hardware and software or modify other teaching content. They can easily transfer to mobile platform oriented information system design and development, integrating with other development technology course as a whole, so as to improve the current isolating situation of mobile development technology course.
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