• 한국조경학회지
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• 제48권1호
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• pp.1-14
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• 2020

세계적으로 공공자전거 공유시스템(PBSS) 및 프로그램(PBSP)이 증가하면서 다양한 정책과 연구들이 진행되었다. 오늘날 PBSS가 일상생활에서 밀접하게 이용되면서 다양한 현상과 수요가 발생하고 있으나, 아직 국내에서는 통근통학에 초점을 맞춘 정책과 연구들이 주로 이루어지고 있다. 이에 본 연구는 다양한 PBSS 수요를 파악하기 위해서 서울시 여의도를 대상으로 2018년도 한 해 동안 발생한 PBSS 이용 데이터를 분석하여 이용 패턴을 유형화하고 특징을 분석하였다. 서울시에서 제공하는 PBSS 자료를 기반으로 주중/주말 이용률에 따라 대여소를 3개 유형으로 구분하여 각각의 특징을 분석하였다. 여의도의 PBSS는 이용량의 경우에는 서울시 전체에서 4.3%, 대여소 개소수의 경우에는 2%에 해당하는 것으로 나타났다. 주중 이용률이 높은 대여소는 다른 유형에 비하여 사계절 모두 높은 이용률을 보였으며, 업무 및 주거지역에 주로 분포하였다. 주말 이용률이 높은 대여소의 경우에는 봄(4~5월)과 가을(9~10월)에 집중된 이용 패턴이 나타났으며, 대여소에서 공원입구까지의 거리가 가까운 것으로 나타났다. 또한, 주중 이용률이 높은 패턴에 비해서 동일한 대여소를 통해 대여 및 반납이 이루어진 경우가 많고, 특정 대여소에 PBSS 이용이 집중된 쏠림현상이 나타나고 있는 것을 확인할 수 있었다. 따라서, 획일적인 PBSS 운영보다는 대여소별로 다양한 이용수요와 현상을 반영한 PBSS의 관리와 프로그램이 운영되어야 할 것이다. 본 연구결과는 PBSS 이용에 대한 수요를 유형에 따라 시공간적으로 파악함으로써 효과적인 PBSS 운영이 이루어질 수 있도록 기초자료를 제공하는 것에 의의가 있다.

• 대한가정학회지
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• 제17권2호
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• pp.49-56
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• 1979

In Korean housing designs reflect uniqueness as a result of the influence of regional and atmospheric factors. In this regard, the early use of the hot floor (ondol) system is of special significance. This system is still in use today, not only for house-heating purposes in the homes of commoners, but also for cooking in the kitchen. The present study represents an investigation of the ondol structure since its earliest known usage. Methodology involves a documentary examination of the system. In point of time, this begins with the system's earliest usage and proceeds chronnologically down to the end of the Yi Dynasty. Research indicates that something very much like the ondol system appeared in the early tribal society of Mahan and its usage continued in the state of Koguryo (during the Three Kingdoms Period) in the homes of the poor. This unique system which had its origin in cold northern areas was utilized on a much broader basis during the Koryo Dynasty. Coming down to the Yi Dynasty it found acceptance and application in all parts of the peninsula. Variations in major component parts of the structure, such as the fuel hole, the flue, the draft , and the chimney, normally reflect regional dissimilarities. It is perhaps most significant that here-in contrast to other devices we have a system that serves concurrently for both heating and cooking purposes.

• 지식경영연구
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• 제9권3호
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• pp.21-42
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• 2008

As many companies have recognized the importance of Knowledge Management(KM), they have invested lots of their resources in developing and deploying Knowledge Management Systems(KMS) to organize and share knowledge. When they implemented KMS in their organizations, most of them had high expectations about KMS at tile beginning. However, as time passed, its usage was rapidly declined. There have been many attempts to increase its usage. Many research works have tried to find solutions from users and organizations viewpoints, instead of the actual usage data itself. In order to assess the usage level of KMS, they have normally utilized user's attitudes toward KMS by assuming that user attitudes have strong relationship with actual uses of KMS. The purpose of this study is to assess tile impacts of user, organizational, and job characteristics on the satisfaction and the usage levels of KMS. Unlike other studies, this study is to explore impact factors which affect the usage level of KMS in organizations by using actual KMS log data as well as user's attitudes.

• 한국경영과학회지
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• 제37권4호
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• pp.225-238
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• 2012

The purpose of this study is to examine the factors influencing usage intention of u-Healthcare with voluntariness in long-term care hospitals. This model tests various theoretical research hypotheses relating to u-Healthcare, UTAUT theory and voluntariness. The proposed model is analyzed to target long-term care hospitals. Questionnaires have been collected during two months of 2010 and total 142 has been considered to be valid. Smart PLS (partial least square) 2.0 and SPSS 15.0 have been utilized for deriving the study results. The results of hypothesis testing are as follows. First, performance expectance, effort expectancy and social influence positively influence usage intention. Second, facilitation not influence usage intention. Still due to lack of technical infrastructure to promote conditions of use u-Healthcare in long-care hospitals for u-Healthcare system also considered to be not significantly affected. Finally, performance expectance to usage intention for low voluntariness group is significantly larger than those for high voluntariness group. In addition, social influence to usage intention for high voluntarines group is significantly larger than those for low voluntariness group.

• 한국컴퓨터정보학회논문지
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• 제20권7호
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• pp.77-84
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• 2015

The study is to investigate which features are perceived by Social Network Service(SNS) users as the most required one to further boost the usage of service, and to examine the perception of these features of SNS sites varies according to their demographic and service usage characteristics. The study also is to suggest a few of research propositions on the relationships between required features of SNS sites and characteristics of SNS users, based on statistical analyses. To accomplish these research purposes, the study defined characteristics of SNS users including demographic(gender, age) and service usage one(start time of service usage, service usage place), and required features of SNS sites(system, service, information, emotion) based on the literature review of SNS. The results show, based on the statistical analyses using survey questionnaire on Korean and Chinese SNS users, that there are differences in perception of required features of SNS sites among the respondents grouped by age, start time of service usage, service usage place. Finally, the study proposed three research propositions, based on the analysis result, that could be used in SNS related researches in the future.

• 한국IT서비스학회지
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• 제14권1호
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• pp.41-51
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• 2015

The purpose of this research is to investigate the relationship between job creation and ICT usage in service industries. This research is particularly important because job creation is one of the most critical issues for the country. With technology innovation and system integration, manufacturing industries do not create enough employment, therefore, the society relies on service industries for creating job opportunities. Until now, due to limitations, analysis of job creation in service industries through ICT usage has not been investigated in depth. Thus, development of an effective ICT support policy was impossible. In this research, we used seven methods to investigate overall relationship between ICT usage level and job creation. A rule of large numbers has been applied to reach conclusion. Through this research, the government can focus its investment on service industries where job creation rate is the highest. We can expect both reinforcement in competitiveness of our service industry and continuous creation in employment, eventually leading to a virtuous cycle.

• 산업경영시스템학회지
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• 제24권64호
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• pp.29-38
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• 2001

Most warranty studies assume that the usage intensity is the same for all buyers. However, in real life the usage intensity varies across the population of buyers. In the general case, one can divide the population into $\kappa$ categories. This has implications for manufacturers of products. Should a manufacturer produce one product and offer different warranties for the $\kappa$ groups or produce different products (one for each group) and offer the same warranty. A warranty cost analysis is needed to choose between these options. The analysis complicated by factors such as adverse selection , buyers attitude to risk and the price structure. In this paper we develop models to study the expected warranty cost for products with free replacement warranty with varying usage intensity. Numerical examples are presented.

• 한국정보컨버전스학회논문지
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• 제6권2호
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• pp.61-66
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• 2013

본 연구에서는 회계정보시스템 품질이 전산회계 교육의 만족도에 미치는 영향을 분석하고, 사용자의 컴퓨터 사용시간과 컴퓨터 사용경력이 회계정보시스템 품질과 사용자 만족과의 관계를 조절하는 조절변수로서의 효과를 검증하였다. 실증분석결과 회계정보시스템 품질인 시스템 품질, 정보품질, 서비스 품질은 전산회계 교육의 만족도에 유의한 영향을 미치는 것으로 분석되었다. 조절변수인 컴퓨터 사용시간과 사용 경력을 이용하여 회계정보시스템 품질요인들을 독립변수로, 만족도를 종속변수로 하는 조절회귀분석을 실시한 결과, 컴퓨터 사용시간과 사용경력인 조절효과는 시스템 품질, 정보 품질에 한해 만족도와의 관계에 유의한 조절효과를 미치고 있음을 알 수 있다.

• 전력전자학회논문지
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• 제21권6호
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• pp.486-496
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• 2016

The voltage unbalance of an LVDC bipolar distribution system was controlled for high power quality. Voltage unbalance may occur in a bipolar distribution system depending on the operation of the converter and load usage. Voltage unbalance can damage sensitive load and lead to converter accidents. The conditions that may cause voltage unbalance in a bipolar distribution system are as follows. First, three-level AC/DC converters in bipolar distribution systems can lead to voltage unbalance. Second, bipolar distribution systems can be at risk for voltage unbalance because of load usage. In this paper, the output DC link of a three-level AC/DC converter was analyzed for voltage unbalance, and the bipolar voltage was controlled with algorithms. In the case of additional voltage unbalance according to load usage, the bipolar voltage was controlled using the proposed converter. The proposed converter is a dual half-bridge converter, which was improved from the secondary circuit of a dual half-bridge converter. A control algorithm for bipolar voltage control without additional converters was proposed. The balancing control of the bipolar distribution system with distributed power was verified through experiments.

• 전기학회논문지P
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• 제64권2호
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• pp.85-91
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• 2015

With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system.