Geo-Multi-Agent System Based Webmapping Approach Using Multiple Representation and Generalisation Driven by Domain Ontology

2013 ◽  
Vol 8 (4) ◽  
pp. 48-64
Author(s):  
Khalissa Derbal Amieur ◽  
Kamel Boukhalfa ◽  
Zaia Alimazighi
Keyword(s):  
Web Applications ◽  
Hybrid Approach ◽  
Fast Response ◽  
Domain Ontology ◽  
Point Of View ◽  
User Needs ◽  
Generation Process ◽  
Multiple Representation ◽  
Map Generation ◽  
Multi Agent

Geographic Information (GI) is currently available at any time, from anywhere on the surface of the earth, for any person connected to internet. Some applications of design, implementation, generation and dissemination of maps on the web are recognized as “Webmapping” application, geographic web services or more generally on demand-map making tools. All these web applications aims the satisfaction of user needs by providing personalized maps in a fast response time with a good quality. However, the complexity and diversity of aspects taking into account have lead researchers to focus on one aspect at the expense of others. Consequently, few works have addressed all these aspects simultaneously. The authors propose in this paper, a Webmapping approach organized into two main tasks: (1) query analysis driven by domain ontology in analyzing a query launched by a user on a web browser and (2) map generation process. The first step allows extracting and formalizing user needs through two map determinants factors: the Level of Detail (LoD) and Point of View (PoV) and the second, exploit an hybrid approach “Multi Representation and Generalization” in storing and generating geographical data with integrating Multi-Agent technology in all steps of processing. To evaluate the effectiveness of our proposal, a first tool prototype implementing our approach is so developed using a geographic vector dataset provided by national cartographic agency.

An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game

2011 ◽  
pp. 77-98
Author(s):  
Malgorzata Lucinska ◽  
Slawomir T. Wierzchon
Keyword(s):  
Learning Strategies ◽  
Autonomous Agents ◽  
Clonal Selection ◽  
Hybrid Approach ◽  
Point Of View ◽  
Distributed Programming ◽  
Multi Agent Systems ◽  
Pursuit Evasion ◽  
Multi Agent ◽  
Complex Relationships

Multi-agent systems (MAS), consist of a number of autonomous agents, which interact with one-another. To make such interactions successful, they will require the ability to cooperate, coordinate, and negotiate with each other. From a theoretical point of view such systems require a hybrid approach involving game theory, artificial intelligence, and distributed programming. On the other hand, biology offers a number of inspirations showing how these interactions are effectively realized in real world situations. Swarm organizations, like ant colonies or bird flocks, provide a spectrum of metaphors offering interesting models of collective problem solving. Immune system, involving complex relationships among antigens and antibodies, is another example of a multi-agent and swarm system. In this chapter an application of so-called clonal selection algorithm, inspired by the real mechanism of immune response, is proposed to solve the problem of learning strategies in the pursuit-evasion problem.

An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game

2012 ◽  
pp. 1192-1214
Author(s):  
Malgorzata Lucinska ◽  
Slawomir T. Wierzchon
Keyword(s):  
Learning Strategies ◽  
Autonomous Agents ◽  
Clonal Selection ◽  
Hybrid Approach ◽  
Point Of View ◽  
Distributed Programming ◽  
Multi Agent Systems ◽  
Pursuit Evasion ◽  
Multi Agent ◽  
Complex Relationships

Multi-agent systems (MAS), consist of a number of autonomous agents, which interact with one-another. To make such interactions successful, they will require the ability to cooperate, coordinate, and negotiate with each other. From a theoretical point of view such systems require a hybrid approach involving game theory, artificial intelligence, and distributed programming. On the other hand, biology offers a number of inspirations showing how these interactions are effectively realized in real world situations. Swarm organizations, like ant colonies or bird flocks, provide a spectrum of metaphors offering interesting models of collective problem solving. Immune system, involving complex relationships among antigens and antibodies, is another example of a multi-agent and swarm system. In this chapter an application of so-called clonal selection algorithm, inspired by the real mechanism of immune response, is proposed to solve the problem of learning strategies in the pursuit-evasion problem.

scholarly journals Evaluating the Security Impact of Healthcare Web Applications Through Fuzzy Based Hybrid Approach of Multi-Criteria Decision-Making Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 135770-135783
Author(s):  
Alka Agrawal ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Applications ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making

scholarly journals Speech recognition algorithm for natural language management systems under variety of accents

2020 ◽  
Vol 164 ◽  
pp. 10015
Author(s):  
Irina Gurtueva ◽  
Olga Nagoeva ◽  
Inna Pshenokova
Keyword(s):  
Speech Recognition ◽  
Recognition Algorithm ◽  
Individual Characteristics ◽  
Point Of View ◽  
Language Management ◽  
Universal System ◽  
Sound Image ◽  
Behavioral Studies ◽  
Multi Agent ◽  
The Individual

This paper proposes a concept of a new approach to the development of speech recognition systems using multi-agent neurocognitive modeling. The fundamental foundations of these developments are based on the theory of cognitive psychology and neuroscience, and advances in computer science. The purpose of this work is the development of general theoretical principles of sound image recognition by an intelligent robot and, as the sequence, the development of a universal system of automatic speech recognition, resistant to speech variability, not only with respect to the individual characteristics of the speaker, but also with respect to the diversity of accents. Based on the analysis of experimental data obtained from behavioral studies, as well as theoretical model ideas about the mechanisms of speech recognition from the point of view of psycholinguistic knowledge, an algorithm resistant to variety of accents for machine learning with imitation of the formation of a person’s phonemic hearing has been developed.

Сase-systems for development of multiagent system (MAS) in the system of diagnostics and maintenance of vehicles

2021 ◽  
Vol 13 (1) ◽  
pp. 87-93
Author(s):  
Viacheslav Pavlenko ◽  
◽  
Volodymyr Manuylov ◽  
Volodymyr Kuzhel ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Technical Condition ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Software Products ◽  
Multi Agent ◽  
Software Code ◽  
Low Performance ◽  
Intelligent Methods

The article provides a comparative analysis of existing software products and libraries that allow the design of multi-agent systems for diagnostics and maintenance systems for modern cars. The authors substantiate two main shortcomings inherent in all products - analogues: the need for high qualification of the user as a software code developer, and low performance of intelligent methods in the structure of agents, which worsens their performance. Both manufacturers and car owners are objectively interested in the widespread use of telematics systems for monitoring the technical condition of cars. Predictive diagnostics gives them access to a huge amount of information about all the nuances of car operation, wherever they are, during the entire service life. The application of this approach using a multi-agent system (MAS) will allow taking the next step in this direction. Information from the connected vehicles goes to the main server. Systematization and analysis of data make it possible to establish the causes of malfunctions, identify patterns of their occurrence and make further predictions. Purpose of the work: to perform a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The topic of the work is disclosed on the example of the analysis of software tools for the development and design of MAS at the present stage. There are a number of systems and libraries on the market designed for the development of multi-agent systems. These Case - systems are suitable for the development of multi-agent systems of any direction, that is, they are universal from this point of view. Therefore, for us it is a universal application tool for the automotive industry. Ultimately, the work performed a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The analysis revealed two main drawbacks inherent in all products - analogs: the need for high user qualifications as a developer of software code, and low indicators of the possibilities of introducing intelligent methods into the structure of agents, worsens the indicators of their work.

scholarly journals Landscape Design of University Campuses and User Satisfaction

2021 ◽  
Author(s):  
Deniz Gozde Ertin Tezgor ◽  
◽  
Beste Karakaya Aytin ◽  
Keyword(s):  
Public Space ◽  
User Satisfaction ◽  
Point Of View ◽  
Green Spaces ◽  
Survey Study ◽  
User Needs ◽  
University Campus ◽  
Art And Design ◽  
University Campuses ◽  
User Space

University campus gardens provide the integrity of the environment with educational buildings, connect the users and buildings, and provide liveable spaces for users. Campuses serve as a public space for academic, administrative and technical staff, especially students, as well as incoming visitors. As a public space, the ability of students to meet all their recreational, social and cultural needs is directly related to the content and designs of the open and green spaces of the campuses. It is essential to ensure the landscape designs of these spaces, in line with the structural and planting design principles, and with the successful composition of the user-space relationship where the user needs and desires are determined. From this point of view, it is aimed to evaluate the landscape designs of the two campuses of Trakya University, where art and design-oriented education is realised, in terms of user satisfaction. For this purpose, it was revealed by a survey that measures the satisfaction of the users of the two campuses where determined the spatial and landscape requirements of design-based education. In the survey, the users' duration and purpose of use of the campus, feelings created by various equipment on users, the usage the building and gardens and the current conditions of the campuses were determined. The frequency percentages of the data obtained in the survey study were evaluated using the SPSS 26.0 program. As a result, suggestions have been developed to improve the current use of the two campus gardens and to ensure the sustainability of the spaces.

Requirement Prioritization of Complex Web 2.0 Application Based on Effects on Regression Testing

2018 ◽  
pp. 1204-1224
Author(s):  
Varun Gupta ◽  
D.S. Chauhan ◽  
Kamlesh Dutta
Keyword(s):  
Web 2.0 ◽  
Web Application ◽  
Web Applications ◽  
Hybrid Approach ◽  
Virtual Classroom ◽  
Regression Testing ◽  
Testing Effort ◽  
Prioritization Process ◽  
Effective Selection ◽  
Requirement Prioritization

Web 2.0 applications are complex information systems. Likewise any desktop applications, web applications are complex and require effective requirement prioritization preceded by effective decision aspect prioritization by involving diverse stakeholders. During the release of new increments, objective is to provide value to the software and simultaneously lowering the regression testing effort. This can be achieved by implementing all highest priority requirements along with those dependent on them so that next increments implemented requirements independent of already implemented ones. The challenges involved in aspect selection, requirement prioritization, and effective selection of the security requirements of Web 2.0 application makes its incremental deliveries a complex task as compared to that of desktop applications. The proposed requirement prioritization process is hybrid approach i.e. Based on combination of negotiations and methods to prioritize both decision aspects and software requirements. This technique reduces regression testing effort by taking an impact on regression testing as one of the parameters during prioritization and overcomes various problems related to prioritization of web 2.0 applications. This technique is applied on live system of “Virtual Classroom”, by employing three stakeholder groups with total 8 stakeholders. Results were promising since it resulted in the successful delivery of web application due to effective aspect and requirement prioritization thereby leading to reduced regression testing effort.

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