• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.2 s.332
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• pp.1-8
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• 2005

We have implemented a Jini-Agent system which enables resource-limited mobile devices to utilize the Jini connection service. The Jini-Agent system supports Jini connection technologies to mobile devices without additional client program installation in it. It also supports a dynamic service list which helps the mobile devices to search and to utilize the services through web browser in real time. A couple of examples such as a file search service and a print service with mobile devices have been demonstrated by using the Jini-Agent system.

• Journal of Internet Computing and Services
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• v.5 no.5
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• pp.69-77
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• 2004

As the internet is widely distributed. the intelligent search agent is commonly used to meet the needs of user. But these Intelligent multi-agents are so independent each other that they can not give reliability of information and also have difficulty in coping with the dynamic distributed environments due to the short of cooperation abilities among multiagent. To resolve these problems. this paper proposes the mechanism for efficient cooperation and information processing by creating agency within broker agent and clustering multi agent's agency using neural network. For reliability of information. we also propose the multiagent management mechanism that can improve the information update problems which are in existing search systems and evaluate the performance of this research through simulation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.550-554
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• 2002

In this paper, we design the CORBA-based Mobile-Agent Model (CMAM) which has the capability of the efficient work processing in distributed environment through sensing network traffic and searching the optimal path for migration nodes of mobile agent. In case existing mobile agent model is given various works from user, the network overhead and traffic are increased by increasing of execution module size. Also, if it happens a large quantity of traffics due to migration of nodes according to appointment of the passive host(node) muting schedule by user, it needs much cost for node search time by traffic. Therefore, in this paper, we design a new mobile agent model that assures the reliability of agent's migration through dynamic act on the specific situation according to appointment of the active routing schedule and can minimize agent's work processing time through optimal path search. The proposed model assigns routing schedule of the migration nodes actively using an extended MAFFinder. Also, for decreasing overhead of network by agent's size, it separated by mobile agent including oかy agent calling module and push agent with work executing module based on distributed object type of CORBA. Also, it can reduce the required time for round works of mobile agent through the optimal path search of migration nodes.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.271-281
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• 2006

Due to the development of Internet, number of online documents and the amount of web services are increasing dramatically. However, there are several procedures required, before you actually find what you were looking for. These procedures are necessary to Internet users, but it takes time to search. As a method to systematize and simplify this repetitive job, this paper suggests a DotQuery based interactive search agent. This agent enables a user to search, from his computer, a plenty of information through the DotQuery service. which includes natural languages. and it executes several procedures required instead. This agent also functions as a plug-in service within general web browsers such as Internet Explorer and decodes the DotQuery service. Then it analyzes the DotQuery from a user through its own program and acquires service results through multiple browsers of its own.

• Korean Management Science Review
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• v.32 no.4
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• pp.81-96
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• 2015

This paper models knowledge diffusion on an inter-organizational network. Based on literatures related to knowledge diffusion, the model considers critical factors that affect diffusion behavior including nodal property, relational property, and environmental property. We examine the relationships among network structure, knowledge search, and diffusion performance. Through a massive simulation runs based on the agent-based model, we find that the average path length of a network decreases a firm's cumulative knowledge stock, whereas the clustering coefficient of a firm has no significant relationship with the firm's knowledge. We also find that there is an interaction effect of network structure and the range of knowledge search on knowledge diffusion. Specifically, in a network of a larger average path length (APL) the marginal effect of search conduct is significantly greater than in that of a smaller APL.

• The Journal of Information Systems
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• v.14 no.3
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• pp.53-58
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• 2005

In this study, we will employ a multi-agent for the search and extraction of data in a distributed environment. We will use an Integrator Agent in the proposed model on the Hierarchical Clustering and Association Rule Discovery(HCARD). The HCARD will address the inadequacy of other data mining tools in processing performance and efficiency when use for knowledge discovery. The Integrator Agent was developed based on CORBA architecture for search and extraction of data from heterogeneous servers in the distributed environment. Our experiment shows that the HCARD generated essential association rules which can be practically explained for decision making purposes. Shorter processing time had been noted in computing for clusters using the HCARD and implying ideal processing period than computing the rules without HCARD.

• The Journal of Information Systems
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• v.14 no.3
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• pp.17-22
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• 2005

Location management is very important in location-based services to provide services to the mobile users like banking, city guides and many more. Ubiquitous and mobile devices are the source of data in location management and its significant operations are update and search method. Some studies to improve these were presented by using optimal sequential paging, location area scheme and hierarchical database scheme. In addition, not all location services have the same access methods on data and it lead to difficulties of providing services. A proposed location management of multi-agent architecture is presented in this study. It shows the coordination of the agents on the distributed database of location-based services. The proposal focuses on the location management of the mobile object presented in a hierarchical search and update. Also, it uses a nearest neighbor technique for efficient search method of mobile objects.

• Journal of information and communication convergence engineering
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• v.1 no.3
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• pp.143-146
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• 2003

In the study, a new-concept search agent system for the WWW by using XML-based technology is proposed. The implementation of the prototype of this proposed system, the comparison with traditional search engines, and the evaluation of the prototype system are also.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.598-601
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• 2003

As the amount of information on the WWW is increasing at a very high speed, the role of search engines has become more necessary and important. Yet, current popular search engines have a limitation of scalability because the more information those engines gather, the more garbage hit search results are produced, thus, XML based metadata has recently been the issue of much focus. Metadata is information about information, which using a small potion of data can express the fundamental information about other information. XML enables data to be expressed better organized and well structured. Moreover, the information in those current efficiency and make them disappointed by dead links and obsolete pages. this is because the information was collected and indexed in advance before users do searching. therefore, a mechanism is required that cam search from current and up-to-date information resources dynamically in real time to avoid retrieving out of data information. In this study, a new concept search agent system for the WWW by using XML based technology is proposed. the implementation of the prototype of this proposed system, the comparison with traditional search engines, and the evaluation of the prototype system are also discussed.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.150-156
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• 2024

With the advent of personalized search engines, a myriad of approaches came into practice. With social media emergence the personalization was extended to different level. The main reason for this preference of personalized engine over traditional search was need of accurate and precise results. Due to paucity of time and patience users didn't want to surf several pages to find the result that suits them most. Personalized search engines could solve this problem effectively by understanding user through profiles and histories and thus diminishing uncertainty and ambiguity. But since several layers of personalization were added to basic search, the response time and resource requirement (for profile storage) increased manifold. So it's time to focus on optimizing the layered architectures of personalization. The paper presents a layout of the multi agent based personalized search engine that works on histories and profiles. Further to store the huge amount of data, distributed database is used at its core, so high availability, scaling, and geographic distribution are built in and easy to use. Initially results are retrieved using traditional search engine, after applying layer of personalization the results are provided to user. MongoDB is used to store profiles in flexible form thus improving the performance of the engine. Further Weighted Sum model is used to rank the pages in personalization layer.