• 디지털콘텐츠학회 논문지
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• 제6권1호
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• pp.1-5
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• 2005

이 논문에서는 OGSA 기반 그리드 서비스의 특징을 기술하고 서비스 데이터 요구(Service Data Element, SDE) 정보 수집을 위한 그리드 서비스를 기술한다. 그리드 서비스의 구성을 위해서는, 주요한 시스템 컴포넌트와 이들 간의 상호작용을 표현하는 시스템의 고수준의 소프트웨어 아키텍처로의 그리드 서비스를 구성하기 위한 체계적인 접근이 고려되어야 한다. 이 논문의 목적은 SDE를 수집단위로 하는 서비스 데이터 수집 서비스의 설계 및 구현으로 이를 위해 CR의 서비스 데이터 수집기 서비스를 자원 및 서비스의 종류에 따라 SDE를 영속적으로 유지할 수 있도록 저장 스킴을 구성하고 XML DBMS인 Xindice사용하여 확장하였다. 서비스 데이터 수집 서비스는 인터넷과 같은 광대역 환경에서의 효율적인 수행을 위해 통지 메커니즘에 의해 비동기적으로 작동한다.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.763-774
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• 2006

The purpose of this study is to identify relationship among service quality, service value and customer satisfaction of food service industries. The respondents included 120 customers of K-restaurant in the survey. Data were analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : Service Value was influenced directly and positively by the service quality. And customer satisfaction was influenced directly and positively by the service value. But customer satisfaction was not influenced directly and positively by the service quality.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.1041-1044
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• 1999

This paper propose a solution to resolve data overflow or leakage when a subscriber receive data to service provider. The set-top box can communicate with a service provider and can inform the service provider its data overflow or leakage. When service provider received this control signal, it changes data transmit rate and transmits data with changed rate. The buffer of set-top box is important because incoming data from a service provider are stored by it.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.971-977
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• 2021

The purpose of this research paper is: (1) to describe the service quality index; (2) describe the data quality index; and (3) describe the anti-corruption index of BPS Trenggalek, Indonesia. The approach chosen is quantitative with the type of survey research. The primary data collection technique was mainly based on a questionnaire distributed to 40 respondents, namely BPS service users in 5 (five) categories: the private sector, the banking industry, academics, offices, or agencies in Trenggalek Regency and universities. The results showed that the quality of BPS services was good and the data quality index where the respondents were satisfied with the data presented by BPS. Meanwhile, testing the anti-corruption index shows that BPS Trenggalek is very anti-corruption in providing services to consumers. The findings of this study suggested that to improve service quality, it is necessary to pay attention to several aspects, including published service requirements, easy requirements to be fulfilled, published procedure information, clear service process flow, published service times, and costs/tariffs are communicated. This study suggests updating data, data relevance, data accessibility, and data completeness to improve data quality. Furthermore, to maintain the very anti-corruption predicate, this study suggests maintaining service by upholding the prevailing ethics and norms.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• 정보관리학회지
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• 제33권1호
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• pp.293-316
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• 2016

본 연구에서는 공공도서관의 서비스 프로그램 운영과정에서 생산된 '서비스 데이터'를 서지데이터와 연계하여 도서관 목록을 개선시키고자 하였다. 이를 위해 2015년에 우수 도서관으로 선정된 공공도서관 7곳을 대상으로 서비스 데이터를 수집하고 분석하였다. 이를 바탕으로 서지데이터와 서비스 데이터를 서지프레임워크를 적용하여 시범적으로 연계하고, 활용 가능한 인터페이스를 제안하였다. 본 연구결과는 1) 선별적이고 가치 평가가 포함된 서지데이터를 확보하고, 2) 장서의 생애주기 동안 서지데이터를 지속적으로 업데이트할 수 있게 되며, 3) 체계적으로 관리되기 어려웠던 서지데이터의 보존성과 공유 가능성을 향상시킬 수 있으며, 4) 시맨틱웹 환경에서 외부 링크드 데이터를 추가적으로 연계할 수 있는 서지데이터 개발을 위한 기초자료로 활용될 수 있을 것이다.

• 제어로봇시스템학회논문지
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• 제22권2호
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• pp.153-161
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• 2016

This paper proposes a bridge model for data exchange and service invocation between OPRoS and ROS platforms, shows the validity of the proposed model via applications, and compares the proposed model with the OPRoS platform and the ROS platform using performance measures such as data exchange time and service response time. The proposed model operates independently of OPRoS and ROS Platforms using its configuration file with mapping information among the OPRoS data/service port and the ROS topic/service. The configuration file makes easy connections between OPRoS data/service and ROS topic/service without changing the source code of the platform and components.

• 한국농촌건축학회논문집
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• 제24권3호
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• pp.39-46
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• 2022

This study aims to derive basic living service facility items in rural areas and construct related spatial data. To do this, a literature review on the laws and systems related to the residential environment and services in rural areas, rural spatial planning, and the 'Rural Convention' strategic plan reports for the Jeolla and Gyeongsang Region in 2021 was conducted. Primary data collection and review on the list of basic living service items in rural areas derived from the analysis were conducted. After data collection, 12 sectors and 44 types of rural basic living service items were derived; the data selection was carried out based on the clarity of the subject of data management, whether it was established nationwide, whether it was disclosed and provided, whether it was periodically updated, and whether it was an underlying law. Afterwards, data on the derived rural basic living service items were constructed. Afterwards, spatial data on the derived rural basic living service items were constructed. Because open data provided through various institutions were employed, data structure unification such as data attribute values and code names was needed, and abnormal data such as address errors and omissions were refined. After that, the data provided in text form was converted into spatial data through geocoding, and through comparative review of the distribution status of the converted data and the provided address, spatial data related to rural basic living services were finally constructed for about 540,000 cases. Finally, implications for data construction for diagnosing rural living areas were derived through the data collection and construction process. The derived implications include data unification, data update system establishment, the establishment of attribute values necessary for rural living area diagnosis and spatial planning, data establishment plan for facilities that provide various services, rural living area analysis method, and diagnostic index development. This study is meaningful in that it laid the foundation for data-based rural area diagnosis and rural planning, by selecting the basic rural living service items, and constructing spatial data on the selected items.

• Journal of Information Technology Applications and Management
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• 제29권3호
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• pp.57-74
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• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.271-278
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• 2022

마이데이터 서비스는 개인의 금융, 신용 등 데이터를 통합 및 관리해 주는 서비스로, 점차 다양한 분야의 개인 데이터가 통합되면서 개인에게 유용한 정보를 제공해 줄 것으로 기대된다. 마이데이터 서비스의 이용의도에 영향을 미치는 요인을 발견하는 것은 서비스를 이해하는데 매우 중요한 주제이다. 이를 위해 본 연구에서는 마이데이터 서비스의 속성들을 도출하고, 도출된 서비스 속성들을 유사한 것들끼리 묶어 "편리성", "유용성", "보안성", "통제성" 요인을 찾아냈으며, 이 요인들과 마이데이터 서비스의 이용의도와의 인과관계를 연구모형으로 설정하고 분석하는 탐색적 접근 방법을 사용하였다. 분석 결과에 따르면, 마이데이터 서비스 이용의도에는 마이데이터 서비스 속성 요인들 중에, "편리성", "유용성", "통제성"이 유의미한 영향을 주며, "보안성" 은 유의미한 영향을 주지 않는 것으로 나타났다. 특히, "통제성"이 마이데이터 서비스의 이용의도에 가장 큰 영향을 주는 것을 확인할 수 있었다. 본 연구결과에 의하면, 마이데이터 서비스 사업자는 이용자가 자신의 데이터를 통제하고 있다는 인식을 가지도록 하고, 이용자에게 다양한 혜택이 제공될 수 있도록 서비스를 개발할 필요가 있다.