• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.

• 산업경영시스템학회지
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• 제27권1호
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• pp.38-46
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• 2004

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.232-235
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• 2003

In this paper, we implemented a FIPA-OS multi-agent framework bundle in OSGi Service Platform. FIPA-OS is an open agent platform for constructing FIPA compliant agent using mandatory components that required by all FIPA-OS agents to execution and optional components that FIPA-OS agent car optionally use. The platform supports communication between multiple agents and communication language which conforms to the FIPA standards. FIPA-OS framework bundle is composed of DE(Directory Facilitator), AMS(Agent Management System), ACC(Agent Communication Channel) and MTS(Message Transport System) bundle. These bundles installed in the OSGi service platform and their life cycle can be managed by the framework.

• 한국콘텐츠학회논문지
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• 제6권4호
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• pp.55-62
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• 2006

유비쿼터스 시대가 시작되면서 유비쿼터스 환경을 어떻게 제시할 것인지와 어떤 서비스와 이용 방법을 사용자에게 제공할 것인지가 중요해지고 있다. 본 논문에서는 모바일 환경에서 지능형 멀티 에이전트를 통해 사용자에게 도움되는 정보를 능동적으로 제공할 수 있는 시스템을 제안한다. 프로파일 모듀르 규칙 생성 모듈, 필터링 모듈, 서비스 모듈 구조로 구성된다. 추천 에이전트를 이용하여 미리 등록한 사용자의 정보를 기반으로 지능적인 사용자의 요구 파악을 가능하게 구성하였다. 이것을 응용하여 구현하고 실험을 통해 확인하였다.

• ETRI Journal
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• 제29권2호
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• pp.169-178
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• 2007

With the advent of ubiquitous computing environments, it has become increasingly important for applications to take full advantage of contextual information, such as the user's location, to offer greater services to the user without any explicit requests. In this paper, we propose context-aware active services based on context-aware middleware for URC systems (CAMUS). The CAMUS is a middleware that provides context-aware applications with a development and execution methodology. Accordingly, the applications based on CAMUS respond in a timely fashion to contextual information. This paper presents the system architecture of CAMUS and illustrates the content recommendation and control service agents with the properties, operations, and tasks for context-aware active services. To evaluate CAMUS, we apply the proposed active services to a TV application domain. We implement and experiment with a TV content recommendation service agent, a control service agent, and TV tasks based on CAMUS. The implemented content recommendation service agent divides the user's preferences into common and specific models to apply other recommendations and applications easily, including the TV content recommendations.

• 로봇학회논문지
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• 제2권4호
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• pp.297-303
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• 2007

In this paper, we discuss a service to give alarm in the case of emergency for the old and the weak by human behavior recognition in Intelligent Space. Our Intelligent Space consists of mobile robots, sensors and agents. And these components are connected to network framework. Agent analyzes data acquired from networked sensors and determines task of robots and a space to provide a service for humans. In our emergency alarm service, human behavior recognition service module analyzes accelerometer data obtained from body-attached human behavior sensing platform, and classifies into four basic human behavior such as walking, running, sitting and falling-down. For the old and the weak, falling-down behavior may bring about dangerous situations. On such an occasion, agent executes emergency alarm service immediately. And then a selected mobile robot approaches fallen person and sends images of the person to guardians. In this paper, we set up a scenario to verify the emergency alarm service in Intelligent Space, and show feasibility of the service from our simulation experiments.

• 보건행정학회지
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• 제11권4호
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• pp.21-37
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• 2001

The purpose of this study is to examine internet agent of IT(Information Technology) in health care industry Since IT is essential for corporate strategy in service management, this section examines IT in health care service, especially from the view of 'Agent Technology' that has been recently issued. Intelligent agent is a new paradigm for developing software applications. More than this, agent-based computing has been hailed as 'the next significant break-through in software development' and 'the new revolution in software'. And health care service is a non-mechanic, human-based service. This paper reviewed what possible suggestions or advices can be made to the health care service. Since many health care services using internet have been attempted over the recent years, this study will hopefully be able to come up with good suggestions from many aspects. Thus, information inequality between producer(physician) and consumer(patient) in health care service will be decreased through the introduction of agent technology.

• 한국지능시스템학회논문지
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• 제17권1호
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• pp.80-85
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• 2007

홈네트워크 시스템의 본격적인 보급과 함께 가정용서비스 로봇의 최근 연구 성과들은 인간과 지능로봇이 가정에 공존하며 서로 의사소통을 할 수 있는 시대가 가까운 미래에 현실화 될 수 있음을 보여주고 있다. 한편 가정의 환경적인 특징은 open이기 때문에 그러한 환경에 적응하고 주어진 임무를 수행하는 데는 단일 로봇 또는 단일 홈서버보다는 로봇을 포함하는 홈네트워크 시스템 내의 여러 장치들이 어울려 분산처리를 수행하는 multi-agent 시스템이 일반적으로 더 좋다고 알려져 있다. 따라서 본 논문은 홈네트워크 시스템을 가진 가정에서 필요한 agent들을 정의하기 위해 framework 모델을 구축하고 각 agent 간의 통신 protocol architecture를 제시한다. 이를 위해 로봇 또는 홈서버의 단일 지능이나 기능보다는 그 안에 존재하는 복수개의 agent instance들의 집합으로서 agent를 정의하고, 각 agent 내외에서 agent들 사이의 협력(cooperation)과 타협(negotiation)을 통해 환경과 적응하는 방법 및 사람과 교감(interactive)하는 방법을 제시한다.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.343-350
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• 2020

In the era of the Fourth Industrial Revolution in the digital revolution is taking place, various attempts have been made to provide various contents in a digital environment. In this paper, agent-recruitment service system based on collaborative deep learning is proposed for the intelligent head hunting service. The service system is improved from previous research [7] using collaborative deep learning for more reliable recommendation results. The Collaborative deep learning is a hybrid recommendation algorithm using "Recurrent Neural Network(RNN)" specialized for exponential calculation, "collaborative filtering" which is traditional recommendation filtering methods, and "KNN-Clustering" for similar user analysis. The proposed service system can expect more reliable recommendation results than previous research and showed high satisfaction in user survey for verification.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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• pp.2771-2773
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• 2005

In network human-robot interaction, human can access services of a robot system through the network The communication is done by interacting with the distributed sensors via voice, gestures or by using user network access device such as computer, PDA. The service organization and exploration is very important for this distributed system. In this paper we propose a new agent-based framework to integrate partners of this distributed system together and help users to explore the service effectively without complicated configuration. Our system consists of several robots. users and distributed sensors. These partners are connected in a decentralized but centralized control system using agent-based technology. Several experiments are conducted successfully using our framework The experiments show that this framework is good in term of increasing the availability of the system, reducing the time users and robots needs to connect to the network at the same time. The framework also provides some coordination methods for the human robot interaction system.