• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.8-13
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• 2006

In this paper, we try to find success factor to satisfy Female Customer of a Family Restaurant We survey Female Customers Requirement and make a Questionnaire based on Female Customer by interview and internet Homepage. We find Potential customer satisfying factor by using Kano Analysis and Timko's CS coefficient and Potential Customer Satisfactionv improvement Index(PCSI) which is suggested by Leem represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. We also discuss how to use this result, we hope our result to apply customer satisfying many fields not only Family Restaurant.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.1162-1164
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• 2011

이 논문에서는 Web Feature Service를 지원하는 모바일 AR(증강현실)을 설계하고 구현하였다. 스마트폰 분야에서 관심 받고 있는 증강현실을 이용한 모바일 AR에 웹 피처 서비스를 활용하여 표준 인터페이스를 통한 효율적인 질의와 다양한 정보를 통합적으로 관리 할 수 있는 GeoAR 시스템을 설계 및 구현하여 다양한 지리정보 표현을 가능도록 구현하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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• pp.25-28
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• 2000

In this paper, an effective intention reading scheme is proposed for human-friendly interface. Soft computing techniques such as fuzzy logic and artificial neural networks are used for this. And Gabor filter based feature(GG feature) is also proposed to deal with local activity in the human face. It is based on human visual system and Gabor filter based approach is very popular in these days. The proposed scheme is adopted for human-friendly interface for rehabilitation service robotic system KARES II.

• 한국IT서비스학회지
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• 제10권4호
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• pp.219-227
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• 2011

Service Oriented Architecture (SOA) is rapidly emerging as the efficient approach in contemporary complex, heterogeneous computing environments. SOA increases the adaptability by loose coupling and its main feature is that three elements such as service provider, service requester and service registry are connected with each other systematically. To design the service-oriented system efficiently, a metric to measure the coupling between services accurately is needed. In this paper, we propose four coupling metrics for SOA based softwares. First, we suggest a coupling metric for service-oriented systems by modifying an established coupling metric of object-oriented systems. Then we suggest another coupling metric which includes indirect coupling between services. We also suggest two relative coupling metrics to measure coupling between subsystems. We investigate the theoretical soundness of the proposed metrics by the axioms of Briand et al. Finally, we apply the presented metrics to an industrial-scale case study.

• 로봇학회논문지
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• 제3권1호
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• pp.68-72
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• 2008

Combining robot and network gives us many advantages like lightweight hardware specification of robot, a various robot service, simple upgrade of robot, easy management and so on. Among these advantages, Presence service and openAPI are most important. Presence is simple but powerful service. It makes user to know the status information of robot and enables user to control robot from a remote place. OpenAPI which is also a feature of WEB2.0 enables $3^{rd}$ parties to make a various mashup service easily and rapidly. Finally presence and openAPI can help URC service to be ubiquitous and successful.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2005년도 하계학술대회
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• pp.290-296
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• 2005

In this paper, we describe ubiquitous environments and the trend of convergence that is an evolution path of current telecommunication, and show the concept of broadband convergence network, service feature and evolution path. In order to converge wire and wireless communication, telecommunication and broadcasting, voice and data efficiently, broadband convergence network divides a network into service layer, control layer, transport layer, ubiquitous access and terminal layer. Broadband convergence network will be a network that can provide and control broadband multimedia services with QoS and securityof different and customized level. Then we depict characteristics and types of broadband multimedia service, and describe the characteristic of broadband convergence network. Finally, we show ubiquitous network based on the broadband convergence network to provide ubiquitous service which is a future telecommunication service. We also describe requirements of ubiquitous network such as an intelligent and context based platform, convergence terminals, ubiquitous computing devices, etc., and give various emerging technologies and those applications.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2023년도 춘계학술대회
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• pp.301-302
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• 2023

스마트 항로표지의 서비스를 동일한 규격으로 제공하고 사용자 인증과 접근 권한을 관리하기 위해 서비스 플랫폼을 설계하였다. 서비스 플랫폼의 요구사항을 충족하기 위해 사용자 인증을 위한 OIDC 구현 오픈소스인 Keycloak을 사용하였으며 서비스 관리를 위해서는 S-100 객체 카탈로그 버전 관리 방안을 사용하였다. 내부 서비스 데이터를 S-100으로 규격화 하기 위해서는 내부 서비스 데이터는 JSON Schema를 사용하여 S-100 데이터로 매핑을 위한 최소 규격을 설계하였다.

• 융합보안논문지
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• 제23권3호
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• pp.57-64
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• 2023

COVID-19 사태로 인해 방송계는 여행 프로그램의 자취가 사라질 정도로 큰 영향을 받았다. 2022년부터 방송계에 여행 프로그램이 다시 기지개를 켜고 있으나 침체한 여행심리를 회복해야 하는 과제가 남아 있다. 본 연구는 여행 프로그램이 시청자의 여행 의도에 긍정적인 영향을 미친다는 연구를 토대로, 여러 채널을 통해 복수의 여행 프로그램을 송출하는 위성방송사의 방송 환경을 고려하여 여행 프로그램의 선호 부가정보를 시청자에게 제공하는 데이터서비스를 연구하였다. 구체적으로, 다양한 장르와 포맷의 여행 프로그램들을 대상으로 선호 부가정보를 조사하고, 위성방송사가 데이터서비스 형상을 결정할 때 사용할 수 있는 FODA 기반의 피처모델을 설계하였다. 또한, 피처모델을 기반으로 데이터서비스 운영에 필요한 정보들을 정의하고, 이를 국내 위성방송 표준인 DVB-S의 SI로 전송하는 방법을 고안하였다. 그리고 DVB-MHP 기반 데이터서비스 저작도구를 활용하여 데이터서비스 프로토타입을 구현함으로써 본 연구의 구현 가능성을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제21권4호
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• pp.63-71
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• 2016

This paper is about applying efficient data mining method which improves the score calculation and proper building performance of credit ranking score system. The main idea of this data mining technique is accomplishing such objectives by applying Correlation based Feature Selection which could also be used to verify the properness of existing rank scores quickly. This study selected 2047 manufacturing companies on KOSPI market during the period of 2009 to 2013, which have their own credit rank scores given by NICE information service agency. Regarding the relevant financial variables, total 80 variables were collected from KIS-Value and DART (Data Analysis, Retrieval and Transfer System). If correlation based feature selection could select more important variables, then required information and cost would be reduced significantly. Through analysis, this study show that the proposed correlation based feature selection method improves selection and classification process of credit rank system so that the accuracy and credibility would be increased while the cost for building system would be decreased.

• Journal of Electrical Engineering and Technology
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• 제3권2호
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• pp.167-176
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• 2008

Vulnerability assessment of power systems is important so as to determine their ability to continue to provide service in case of any unforeseen catastrophic contingency such as power system component failures, communication system failures, human operator error, and natural calamity. An approach towards the development of on-line power system vulnerability assessment is by means of using an artificial neural network(ANN), which is being used successfully in many areas of power systems because of its ability to handle the fusion of multiple sources of data and information. An important consideration when applying ANN in power system vulnerability assessment is the proper selection and dimension reduction of training features. This paper aims to investigate the effect of using various feature extraction methods on the performance of ANN as well as to evaluate and compare the efficiency of the proposed feature extraction method named as neural network weight extraction. For assessing vulnerability of power systems, a vulnerability index based on power system loss is used and considered as the ANN output. To illustrate the effectiveness of ANN considering various feature extraction methods for vulnerability assessment on a large sized power system, it is verified on the IEEE 300-bus test system.