• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년도 추계학술발표대회 논문집
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• pp.162-167
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• 2009

With the introduction of the ubiquitous technology, the housing culture centers of construction companies have demonstrated future housing image and technology. However, ubiquitous home services are technology oriented items. The purpose of this study was to identify u- services which were realized in domestic future housing and to compare those with services the residents needed greatly refer to researches related to demand for u-service. For this study, field studies were conducted with 3 domestic future housings and precedent studies on demand for u-service were analyzed according to the standard of residents' demand. The results of the study showed that residents prefer u-services for security and control of indoor environment for housework and leisure life. As a result, u-services which residents needed mainly did not correspond with those that were displayed in future housing.

• 조명전기설비학회논문지
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• 제28권10호
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• pp.43-48
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• 2014

With the energy paradigm shift from supply side management to demand side management, many researches have been done on demand side resource management and demand response. At the same time, Obix, BacNet-WS and OPC-UA are popularly used in buildings and industry energy management system. However, it is not easy to interchange the data and information among the systems cause a variety of protocols are used in buildings and factories. Therefore, in this paper, we are proposing an open business platform not only to integrate and manage the demand resources using various protocols and standards, but also to allow to plug-ins a new business service on top of the platform.

• Journal of Information Technology Applications and Management
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• 제26권2호
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• pp.61-73
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• 2019

In 2019, 5G mobile communication technology will be commercialized. From the viewpoint of technological innovation, 5G service can be applied to other industries or developed further. Therefore, it is important to measure the demand of the Internet of things (IoT) because it is predicted to be commercialized widely in the 5G era and its demand hugely effects on the economic value of 5G industry. In this paper, we applied Bayesian method on regression model to find out the demand of 5G IoT service, wearable service in particular. As a result, we confirmed that the Bayesian regression model is closer to the actual value than the existing regression model. These findings can be utilized for predicting future demand of new industries.

• 컴퓨터교육학회논문지
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• 제5권1호
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• pp.57-66
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• 2002

컴퓨터와 인터넷 기술의 비약적인 발전으로 인해 인터넷상에서의 실시간 멀티미디어 서비스가 가능해짐에 따라 주문형 비디오(Video on Demand ; VOD)서비스나 GVA기술을 이용한 원격 교육이 시도되고 있다. 그러나 현재 VOD나 GVA서비스는 양질의 비디오화면을 실시간으로 서비스하는 서버의 연구나 효율적인 교육내용에만 집중되어 있을 뿐 사용자를 위한 서비스 형태에 대한 개발은 거의 이루어지지 않고 있다. 따라서 본 논문에서는 VOD나 GVA 서비스를 이용하여 원격교육을 받고자 하는 사용자 측면의 정보 서비스를 위한 서비스 시스템을 설계하고 구현하였다. 본 논문에서 설계한 주문형 멀티미디어 서비스 시스템은 E-mail올 이용한 오프라인 검색 서비스, PUSH 기술을 이용한 주기적인 최신정보 서비스, SDI서비스를 이용한 고객 맞춤 예약정보서비스와 피드백 서비스를 제공함으로서 사용자가 원하는 교육 자료를 선별하고 검색하는데 있어 걸리는 노력과 시간을 최대한 단축시키고, 서버에 접속하는 횟수를 최대한 줄여서 보다 고차원적인 정보 서비스를 받을 수 있도록 하였다.

• 한국IT서비스학회지
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• 제7권2호
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• pp.41-57
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• 2008

The development of service-based software and web-based application aims for providing user-demand service. On-demand software is emerging for same reason. Software delivery models like on-demand software is expected to change the software industry as an important technical revolution with the firm's strategy. Few research, however, has been done on the on-demand software. While much research on ASP and SaaS focused on firm' use, this study intends to examine the intention of using on-demand software targeting personal user. The intention to use of on-demand software was empirically examined in terms of quality, user characteristics, usefulness, easy of use, and security. Results shows that usefulness and easy of use are most significantly related to the intention of using on-demand software. Other factors are also found to affect the intention to use of on-demand software. This study contributes to improve the understanding and interest in on-demand software and it is expected to spread widely for individual user.

• 한국화재소방학회논문지
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• 제22권2호
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• pp.9-19
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• 2008

최근 다른 행정조직에 비하여 연구가 부족했던 소방행정분야에 체계적인 변화가 나타나고 있다. 특히, 소방수요가 증가하고 형태가 다양화되고 있는데, 가장 시급한 일은 소방수요에 맞게 소방력을 확보하는 일이다. 이러한 소방력의 배치는 주민들의 사회적 후생의 만족으로 이어질 것이다. 본 연구의 목적은 소방력의 결정요인을 찾아보고 소방수요가사회 경제적 요인의 영향을 받는지 알아보는데 있다. 이를 위하여 본 연구에서는 소방력, 소방수요, 사회 경제적 요인, 재정적 요인에 대한 조사를 실시하였다. 그 다음, 이론적 배경과 과거연구를 근거로 4가지 가설을 설정하였다. 가설을 검증하기 위한 통계적 방법은 회귀방정식과 구조방정식분석이다. 본 연구 결과, 소방력은 소방수요와 재정적 요인에 의해서는 양(+)의 유의적인 영향을 받았으나, 사회 경제적인 요인에 의해서는 음(-)의 유의적인 영향을 받았다. 또한 소방수요는 경제적인 요인에 의해서는 양(+)의 영향을 받았으나, 사회적인 요인은 음(-)의 영향을 미친 것으로 나타났다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 춘계종합학술대회
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• pp.495-498
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• 2007

최근, RFID 태그와 리더가 장착되고 무선 인터넷이 결합된 휴대전화로 이동통신 인프라를 이용하여 일상생활에 필요한 정보를 얻고 다양한 응용서비스를 이용할 수 있는 모바일 RFID 서비스의 상용화가 눈앞으로 다가오고 있다. 하지만 모바일 RFID 서비스로 인한 새로운 수익이 창출될 것으로 기대되고 있으나 관련 통신업체의 대규모 투자를 이끌어 내기 위해서는 모바일 RFID 서비스 수요에 대한 정확한 예측이 필요하다. 이에 본 논문은 모바일 RFID 서비스 수요예측을 통해 관련 통신업체의 투자를 확대할 수 있는 기반을 마련하고자 하였으며, 특히 다양한 모바일 RFID 서비스 모델의 유형에 따라 서비스 수요를 예측함을 통해 관련 통신업체의 서비스 투자 방향에 대한 의사결정에 도움이 되고자 한다.

• 대한교통학회지
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• 제14권1호
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• pp.69-80
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• 1996

In most cities, travel demand is distributed along long corridors and its destinations tend to concentrate in a central business district. For this kind of many-to-one or one-to-many travel demand pattern, a zonal operation of buses can be an efficient bus operation technique in which a long bus-demand corridor is divided into service zones and each service zone is provided with its own bus route connecting the service zone and single destination separately. This paper develops models of the total transportation costs for a single-zone operation and 2-zonal operation of buses for a long demand corridor with single destination in terms of various cost parameters, demand density, bus operation speeds, and location of the boundary between two service zones. In this study the total transportation cost is assumed to consist of the bus operation cost, passenger waiting cost and passenger travel time cost. It was proved that a zonal operation of buses can be more efficient than a single-zone operation for certain circumstances of the system and an boundary condition between two operation techniques was obtained. Also, several case studies were performed for various values of the cost parameters.

• 기술혁신학회지
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• 제3권1호
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• pp.113-126
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• 2000

The purpose of this paper is to introduce and test an extension of dichotomous choice contingent valuation(DC-CV) methods of pre-test-market evaluation using the specific case of a cable telev-ision service. Specifically we used a double-bounded DC-CV approach. On the whole respondents accepted the contingent market and were willing to contribute a significant amount on average. This willingness varies according to individual characteristics and concerns about the service. It is concluded that the methods are potentially a useful tool for decision-makers in measuring the po-tential demand for a new cable television service and considering the provision of the service.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.197-220
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• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.