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

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yanqing Han ◽  
Yuyan Lei ◽  
Zimin Bao ◽  
Qingyuan Zhou

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.

This article was written with the aim of theoretically substantiating, developing, and testing experimental methods for teaching university students and students of the advanced training system for computer specializations using intelligent information systems. The following tasks are solved in the article as: 1. To analyze the theoretical and methodological foundations of the use of ICT in teaching 2. To design and implement an intelligent information system in students' training that demonstrates the didactic potential of these systems. 3. To substantiate the criteria for the levels of understanding of university students and students of the advanced training system of educational material and formalize them, laying in the capabilities of an intelligent information system. 4. To develop methods and means of teaching university students and students of the continuing education system using intelligent information systems. 5. Experimental search to verify the effectiveness of the application of the developed methodology. Based on the problem, a training methodology was developed, didactic foundations were determined and conclusions were drawn.


Author(s):  
Valeriy M. Chernenkiy ◽  
Yuriy E. Gapanyuk ◽  
Valery I. Terekhov ◽  
Georgiy I. Revunkov ◽  
Yuriy S. Fedorenko ◽  
...  

This chapter proposes the concept of hybrid intelligent information system (HIIS) as a “glue” concept that helps to unite disparate sections of a course on intelligent information systems. The chapter discusses a generalized structure of HIIS based on modules of consciousness and subconsciousness. The authors show that a HIIS may be implemented using a multiagent approach based on holonic organization. They provide a formalized model of metagraph and a review of methods to describe holonic agents based on the metagraph approach. Thus, a HIIS allows one to combine different approaches which are taught in a course on intelligent information systems.


2017 ◽  
Vol 6 (2) ◽  
pp. 204-211 ◽  
Author(s):  
Новикова ◽  
Tat'yana Novikova

In the article, the analysis of features and trends of microelectronics development and related issues that formed the basis of proposed approaches to the design and implementation of intelligent information systems and the structure of the information system. When architecting an information system, the author was guided by the methods of structural-functional modeling, modular and structured programming. The novelty of this work is to identify the problems and challenges facing enterprises of microelectronics and addressing these challenges through the development of intelligent information systems


2021 ◽  
Vol 101 ◽  
pp. 01016
Author(s):  
Tamara Shikhnabieva ◽  
Nurjagan Bulaeva

Effective environmental monitoring requires intelligent information systems. Developing such systems is associated with numerous challenges concerning the presentation, processing, and use of geochemical and environmental. The paper proposes several approaches to solving these problems, implemented using adaptive semantic models.


1992 ◽  
Vol 01 (01) ◽  
pp. 203-228 ◽  
Author(s):  
CARSON C. WOO ◽  
FREDERICK H. LOCHOVSKY

An intelligent information system may be composed of hundreds or thousands of entities each of which may possess some part of the overall knowledge of an organization. In such an environment there is a need for these entities to communicate in order to share knowledge and to cooperate in accomplishing organizational activities. In this paper we propose an architecture for modelling intelligent information systems and discuss how this architecture supports the communication of knowledge in such information systems.


2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.


Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.


2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.


2017 ◽  
Vol 21 (6) ◽  
pp. 1039-1040
Author(s):  
Quan Z. Sheng ◽  
Wei Emma Zhang ◽  
Elhadi Shakshuki

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