scholarly journals ONTOLOGY‐BASED MULTI‐AGENT SYSTEM TO SUPPORT BUSINESS USERS AND MANAGEMENT / DAUGIAAGENTINE SISTEMA GRINDŽIAMA ONTOLOGIJA VERSLO VARTOTOJAMS IR VADYBININKAMS PAREMTI

2010 ◽  
Vol 16 (2) ◽  
pp. 327-347 ◽  
Author(s):  
Dejan Lavbič ◽  
Olegas Vasilecas ◽  
Rok Rupnik
Keyword(s):  
Mobile Communications ◽  
Web Sites ◽  
Supply And Demand ◽  
Added Value ◽  
Business Rules ◽  
Agent Based ◽  
External Data ◽  
External Sources ◽  
Multi Agent ◽  
User Friendly

For some decision processes a significant added value is achieved when enterprises’ internal Data Warehouse (DW) can be integrated and combined with external data gained from web sites of competitors and other relevant Web sources. In this paper we discuss the agent‐based integration approach using ontologies (DSS‐MAS). In this approach data from internal DW and external sources are scanned by coordinated group of agents, while semantically integrated and relevant data is reported to business users according to business rules. After data from internal DW, Web sources and business rules are acquired, agents using these data and rules can infer new knowledge and therefore facilitate decision making process. Knowledge represented in enterprises’ ontologies is acquired from business users without extensive technical knowledge using user friendly user interface based on constraints and predefined templates. The approach presented in the paper was verified using the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones. Santrauka Priimant kai kuriuos sprendimus reikšminga pridetinė vertė pasiekiama, kai įmones duomenų saugykla gali būti integruojama ir sujungiama su išoriniu konkurentų bei kitais svarbiais duomenimis, gaunamais iš interneto šaltiniu. Straipsnyje nagrinejamas tokio uždavinio sprendimas taikant ontologiją ir daugia‐agenčių integracijos metodų grindžiama būdą, naudotą daugiaagentėje sistemoje sprendimams rengti (DSS‐MAS). Taikant ši būdą duomenys iš vidinių duomenų saugyklų ir išorinių šaltiniu nagrinėjami bei renkami koordinuojamų agentų grupių. Veliau semantiškai integruoti bei atrinkti reikšmingi duomenys pateikiami verslo vartotojams pagal galiojančias verslo taisykles. Kai verslo taisykles, duomenys iš vidiniu duomenų saugyklų ir interneto šaltinių yra gauti, agentai naudodami šiuos duomenis, gali išvesti naujas žinias ir palengvinti sprendimu rengimo procesą. Žinios, vaizduojamos įmonės ontologijoje, gaunamos iš verslo vartotoju nekeliant jiems aukštu išsilavinimo reikalavimu, nes naudojama nežalinga sąsaja, kuri grindžiama prasmingais ribojimais ir iš anksto apibrėžtais šablonais. Straipsnyje pateiktas būdas buvo patikrintas nagrinėjant atvejį iš mobiliujų komunikacijų dalykinės srities ir pabrežiant mobiliųjų telefonų tiekimą bei paklausa.

Human-Based Models for Ambient Intelligence Environments

2011 ◽  
pp. 98-112
Author(s):  
Giovanni Acampora ◽  
Vicenzo Loia ◽  
Michele Nappi ◽  
Stefano Ricciardi
Keyword(s):  
Spatial Distribution ◽  
Ambient Intelligence ◽  
Contextual Information ◽  
Agent Based ◽  
Key Technologies ◽  
Concurrent Computation ◽  
Critical Issues ◽  
Multi Agent ◽  
User Friendly ◽  
Biometric Features

Ambient intelligence gathers best results from three key technologies, ubiquitous computing, ubiquitous communication, and intelligent user friendly interfaces. The functional and spatial distribution of tasks is a natural thrust to employ multi-agent paradigm to design and implement AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and efficient way context from sensors and (2) how to process contextual information in order to improve the functionality of services. Here we describe an agent-based ambient intelligence architecture able to deliver services on the basis of physical and emotional user status captured from a set of biometric features. Abstract representation and management is achieved thanks to two markup languages, H2ML and FML, able to model behavioral as well as fuzzy control activities and to exploit distribution and concurrent computation in order to gain real-time performances.

Web Service and Multi-Agent Based Fault Diagnosis System for MSW Incinerators

2011 ◽  
Vol 179-180 ◽  
pp. 580-585 ◽  
Author(s):  
Hai Rui Wang ◽  
Ya Li ◽  
Ying Jiang
Keyword(s):  
Fault Diagnosis ◽  
Web Service ◽  
Web Sites ◽  
Distributed Environment ◽  
Diagnosis System ◽  
Agent Based ◽  
Data Services ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Collaborative Diagnosis

Based on Web Service and Multi-agents technology, this paper proposes to build a remote distributed fault diagnosis system for equipments of an incineration plant which requires real-time diagnosis in a widely distributed environment. The system is modeled and implemented by multi-agent technology and is composed of a large number of agents, which are deployed at different web sites. To extend system capabilities, a user can provide additional diagnosis procedures, diagnosis services or data services. Based on diagnosis goals, relevant agents are assembled together to form a remote collaborative diagnosis system. The system can be used in any incineration plants, which greatly simplifies the deployment and maintenance efforts.

scholarly journals Manufacturers’ Green Decision Evolution Based on Multi-Agent Modeling

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Zhen Li ◽  
Hongming Zhu ◽  
Qingfeng Meng ◽  
Changzhi Wu ◽  
Jianguo Du
Keyword(s):  
Decision Making ◽  
Manufacturing Industry ◽  
Market Competition ◽  
Supply And Demand ◽  
Agent Based Model ◽  
Green Products ◽  
Agent Modeling ◽  
Agent Based ◽  
Multi Agent

The development of green products is gradually becoming important due to serious ecological issues. In this study, an agent-based model is developed to visualize and analyze the evolution of green decision-making in the manufacturing industry. Based on this agent-based model, the macrobehaviors of manufacturers, consumers, and products are analyzed and simulated. Our results show that, first, the manufacturing industry emerges showing a “convergence” effect. The manufacturers may overestimate the consumers’ green degree demand, but this gradually gets corrected through the mechanisms of market competition. Second, as consumer income increases, it becomes easier for manufacturers to adapt to the market’s supply and demand as impacted by the products’ green degrees, and it becomes unfavorable for them to form a monopoly in the market. Furthermore, the profit of manufacturers is mainly derived from the sales and gradually gets more influenced by the products’ green degree when the consumer income increases.

scholarly journals LOD for Data Warehouses: Managing the Ecosystem Co-Evolution

Information ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 174 ◽  
Author(s):  
Selma Khouri ◽  
Ladjel Bellatreche
Keyword(s):  
Open Data ◽  
Database Management System ◽  
Added Value ◽  
Data Warehouses ◽  
Lehigh University ◽  
External Data ◽  
Level Ii ◽  
Design Cycle ◽  
External Sources ◽  
Internal Sources

For more than 30 years, data warehouses (DWs) have attracted particular interest both in practice and in research. This success is explained by their ability to adapt to their evolving environment. One of the last challenges for DWs is their ability to open their frontiers to external data sources in addition to internal sources. The development of linked open data (LOD) as external sources is an excellent opportunity to create added value and enrich the analytical capabilities of DWs. However, the incorporation of LOD in the DW must be accompanied by careful management. In this paper, we are interested in managing the evolution of DW systems integrating internal and external LOD datasets. The particularity of LOD is that they contribute to evolving the DW at several levels: (i) source level, (ii) DW schema level, and (iii) DW design-cycle constructs. In this context, we have to ensure this co-evolution, as conventional evolution approaches are adapted neither to this new kind of source nor to semantic constructs underlying LOD sources. One way of tackling this co-evolution issue is to ensure the traceability of DW constructs for the whole design cycle. Our approach is tested using: the LUBM (Lehigh University BenchMark), different LOD datasets (DBepedia, YAGO, etc.), and Oracle 12c database management system (DBMS) used for the DW deployment.

The Added Value of Graphical Input and Display for Electron Lens Design

1990 ◽  
Vol 48 (1) ◽  
pp. 190-191
Author(s):  
B. Lencova ◽  
G. Wisselink
Keyword(s):  
Flux Density ◽  
Numerical Data ◽  
Added Value ◽  
Lens Design ◽  
Step Size ◽  
Magnetic Lens ◽  
Flux Lines ◽  
Fine Mesh ◽  
Electron Lens ◽  
User Friendly

Recent progress in computer technology enables the calculation of lens fields and focal properties on commonly available computers such as IBM ATs. If we add to this the use of graphics, we greatly increase the applicability of design programs for electron lenses. Most programs for field computation are based on the finite element method (FEM). They are written in Fortran 77, so that they are easily transferred from PCs to larger machines.The design process has recently been made significantly more user friendly by adding input programs written in Turbo Pascal, which allows a flexible implementation of computer graphics. The input programs have not only menu driven input and modification of numerical data, but also graphics editing of the data. The input programs create files which are subsequently read by the Fortran programs. From the main menu of our magnetic lens design program, further options are chosen by using function keys or numbers. Some options (lens initialization and setting, fine mesh, current densities, etc.) open other menus where computation parameters can be set or numerical data can be entered with the help of a simple line editor. The "draw lens" option enables graphical editing of the mesh - see fig. I. The geometry of the electron lens is specified in terms of coordinates and indices of a coarse quadrilateral mesh. In this mesh, the fine mesh with smoothly changing step size is calculated by an automeshing procedure. The options shown in fig. 1 allow modification of the number of coarse mesh lines, change of coordinates of mesh points or lines, and specification of lens parts. Interactive and graphical modification of the fine mesh can be called from the fine mesh menu. Finally, the lens computation can be called. Our FEM program allows up to 8000 mesh points on an AT computer. Another menu allows the display of computed results stored in output files and graphical display of axial flux density, flux density in magnetic parts, and the flux lines in magnetic lenses - see fig. 2. A series of several lens excitations with user specified or default magnetization curves can be calculated and displayed in one session.

A Multi-agent based Micro Grid Operation Method

2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  
Keyword(s):  
Agent Based ◽  
Operation Method ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Operation

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

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