Automatic Extraction of Business Rules to Improve Quality in Planning and Consolidation in Transport Logistics Based on Multi-agent Clustering

2007 ◽  
pp. 124-137 ◽  
Author(s):  
Igor Minakov ◽  
George Rzevski ◽  
Petr Skobelev ◽  
Simon Volman
Keyword(s):  
Automatic Extraction ◽  
Improve Quality ◽  
Business Rules ◽  
Multi Agent ◽  
Transport Logistics

The use of intelligent agents in modeling an integrated information system of transport logistics

2020 ◽  
Vol 5 ◽  
pp. 59-66
Author(s):  
Y.M. Iskanderov ◽  
Keyword(s):  
Information System ◽  
Supply Chains ◽  
Intelligent Agents ◽  
Technological Processes ◽  
Transport Services ◽  
Wide Range ◽  
Integrated Information System ◽  
Multi Agent ◽  
Transport Logistics ◽  
Integrated Information

Aim. The use of intelligent agents in modeling an integrated information system of transport logistics makes it possible to achieve a qualitatively new level of design of control systems in supply chains. Materials and methods. The article presents an original approach that implements the possibilities of using multi-agent technologies in the interests of modeling the processes of functioning of an integrated information system of transport logistics. It is shown that the multi-agent infrastructure is actually a semantic shell of the information system, refl ecting the rules of doing business and the interaction of its participants in the supply chains. The characteristic of the model of the class of an intelligent agent, which is basic for solving problems of management of transport and technological processes, is given. Results. The procedures of functioning of the model of integration of information resources of the participants of the transport services market on the basis of intelligent agents are considered. The presented procedures provide a wide range of network interaction operations in supply chains, including traffi c and network structure “fl exible” control, mutual exchange of content and service information, as well as their distributed processing, and information security. Conclusions. The proposed approach showed that the use of intelligent agents in modeling the functioning of an integrated information system makes it possible to take into account the peculiarities of transport and technological processes in supply chains, such as the integration of heterogeneous enterprises, their distributed organization, an open dynamic structure, standardization of products, interfaces and protocols.

scholarly journals Graph Models and GeoData Based Web Portal in Cargo Transportation

2015 ◽  
Vol 17 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Leonids Novickis ◽  
Svetlana Vinichenko ◽  
Mihails Sotnichoks ◽  
Andrejs Lesovskis ◽  
Darja Amalitskaya
Keyword(s):  
European Commission ◽  
Business Processes ◽  
International Project ◽  
Web Portal ◽  
Graph Models ◽  
Web Based ◽  
Multi Agent ◽  
Cargo Transportation ◽  
Transport Logistics

Abstract The paper presents a Web Based Framework (WBF)/Web portal to support business processes in transport logistics. The proposed portal has been developed using graph and multi-agent models and GeoData approach. It is one of the main results of international project eINTERASIA supported by the Seventh Framework Program of the European Commission.

scholarly journals Towards Automatic Extraction and Updating of VGI-Based Road Networks Using Deep Learning

2019 ◽  
Vol 11 (9) ◽  
pp. 1012 ◽  
Author(s):  
Prajowal Manandhar ◽  
Prashanth Reddy Marpu ◽  
Zeyar Aung ◽  
Farid Melgani
Keyword(s):  
Deep Learning ◽  
United Arab Emirates ◽  
Road Network ◽  
Aerial Images ◽  
Automatic Extraction ◽  
The Road ◽  
Second Stage ◽  
Road Map ◽  
Road Network Extraction ◽  
Multi Agent

This work presents an approach to road network extraction in remote sensing images. In our earlier work, we worked on the extraction of the road network using a multi-agent approach guided by Volunteered Geographic Information (VGI). The limitation of this VGI-only approach is its inability to update the new road developments as it only follows the VGI. In this work, we employ a deep learning approach to update the road network to include new road developments not captured by the existing VGI. The output of the first stage is used to train a Convolutional Neural Network (CNN) in the second stage to generate a general model to classify road pixels. Post-processing is used to correct the undesired artifacts such as buildings, vegetation, occlusions, etc. to generate a final road map. Our proposed method is tested on the satellite images acquired over Abu Dhabi, United Arab Emirates and the aerial images acquired over Massachusetts, United States of America, and is observed to produce accurate results.

Towards the Automatic Extraction of Structural Business Rules from Legacy Databases

2012 ◽  
Author(s):  
Oscar Chaparro ◽  
Jairo Aponte ◽  
Fernando Ortega ◽  
Andrian Marcus
Keyword(s):  
Automatic Extraction ◽  
Business Rules

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.

Patient Registries Improve Quality at Modest Cost

2006 ◽  
Vol 40 (9) ◽  
pp. 66
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Improve Quality ◽  
Patient Registries

P4P Programs May Not Improve Quality of Care

2008 ◽  
Vol 41 (4) ◽  
pp. 45
Author(s):  
JEFF EVANS
Keyword(s):  
Quality Of Care ◽  
Improve Quality
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