• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.355-356
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• 2023

본 논문에서는 지도 앱이 제공하는 식당의 시간별 평균 방문자 수 데이터와 공공 DB의 면적 데이터를 활용하여 식당의 대기 시간을 예측하여 출력해주는 모델을 제안한다. 요식업에 관련된 통계 데이터를 활용해 식당 홀이 차지하는 면적을 추정한 뒤, 식당의 예상 수용 인원을 추정하여 여기에 평균 테이블 회전율을 적용하여, 식당의 시간 당 수용 인원을 추정식당의 대기 시간을 계산한다. 거기에 사용자 리뷰와 식당 별점 데이터 등의 외부 요인을 통해 대기 시간을 보정, 예상 대기 시간의 정확도 상승을 꾀한다. 이 모델이 상용화 될시, 이용자는 식당 선택에 의해 야기되는 스트레스를 완화시킬 수 있고, 식당 이용자들의 분산효과를 낳을 수 있을 것이다.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.421-430
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• 2016

In this study, a gate simulation model was developed to reduce the truck waiting time for trucking companies servicing container terminals. To verify the developed model, 4 weeks of truck gate-in/gate-out data was collected in December 2014 at the Port of Busan New Port. Also, the existing gate system was compared to the proposed gate system using the developed simulation model. The result showed that based on East gate-in, a maximum number of 50 waiting trucks with a maximum waiting time of 120 minutes. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-in, the maximum number of waiting trucks was 17 and the maximum waiting time was 34 minutes in the existing gate system. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-out, the maximum number of waiting trucks was 11 with a maximum waiting time of 5.5 minutes. With the proposed system the maximum number of waiting trucks was 9 with a maximum waiting time of 4.4 minutes. This developed model shows how many waiting trucks there are, depending on the gate-in/gate-out time of each truck. This system can be used to find optimal gate system operating standards by assuming and adjusting the gate-in/gate-out time of each truck in different situations.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.270-286
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• 2017

Managing waiting experience is critical for providing service because waiting is an inevitable experience. We explored the factors which influence the waiting experience of the customers and the experience they face, in order to find out the meaning of waiting experience of the customer. As a result, we investigated a holistic sequence divided into four stages. When the customers wait for the service, perceived time would be increased by Zeigarnik effect. How long the customers feel when waiting is largely affected by a gap between waiting time and the perceived time, rather than the perceived time itself. Furthermore, the customers showed a tendency to have hard time immersing in the media due to considering others. Additionally, we could find that waiting time after giving an order is relatively more important than the waiting time before the order. Based on the results, the service provider should convey a feeling of completion by fitting the end point of the media to the point when the customer receives the service. In addition, high predictability needs to be offered for the customers in order to predict the exact waiting time. Finally, the customers should feel as if they take the initiative during waiting time.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.196-205
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• 1998

교통신호에서 주로 고려되는 변수는 신호주기(cycle length), 녹색시간(green split), 옵셋(offset)그리고 좌회전 현시순서(left-turn phase sequence)로 구성된다. 기존의 대부분의 연동 모델들은 고정된 주기하에서 평균적인 유입 교통량을 측정한 후, 선형최적화 이론을 적용하여 최적 신호를 산출한다. 그러나 이 방법은 어디까지나 평균적인 데이터에 대해서 계산을 한 것이기 때문에 실시간 최적화를 제공하기가 어렵다. 본 연구에서는 평균 차량 통행량 대신 실시간으로 입력되는 차량 대기행렬, 차량 도착률을 기초로 대기차량을 최소화하는 동적 신호시간 산출 모델을 개발하였다. 본 모델에서는 Peytechew가 제안한 각 진입로에서의 대기 차량 예측 모델을 기초로 하여 다음 주기에서의 차량 대기 행렬을 예측한 후, 선형 최적화 이론을 적용하여 신호시간을 산출한다. 본 모델에서 산출된 신호주기와 녹색시간은 대기차량길이를 최소화하는 신호 시간으로서 교차로간의 연동효과를 고려하여 실시산 교통상황에 따라 주기별로 변화한다. 본 모델은 3개의 교차로로 구성된 네트워크를 대상으로 적용하였다. 실험 네트워크의 주도로 교통량은 부도로의 교통량 보다 많다고 가정하였으며 각 링크사이에서의 차량 진출입은 없다고 보았다.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.53-63
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• 2018

In this paper, we analyze the waiting time of a queueing system with D-BMAP (discrete-time batch Markovian arrival process) and D-policy. Customer group or packets arrives at the system according to discrete-time Markovian arrival process, and an idle single server becomes busy when the total service time of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state waiting time distribution is derived in the form of a generating function. Mean waiting time is derived as a performance measure. Simulation is also performed for the purpose of verification and validation. Two simple numerical examples are shown.

• The Journal of Information Systems
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• v.20 no.4
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• pp.163-180
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• 2011

실시간 유비쿼터스 환경의 규모성 향상을 위하여 각 처리 단계에 복수의 자원이 투입될 수 있다. 각 처리 단계에 복수의 자원이 배정되면 처리 단계 내에서 병렬로 처리되는 센서 데이터가 증가하기 때문에 후행 센서 데이터는 선행 센서 데이터의 처리 종료를 반드시 기다릴 필요가 없게 된다. 처리 과정이 서로 독립적인 센서 데이터들이 발생하면 후행 센서 데이터의 대기시간은 달라지게 된다. 본 연구에서는 복수의 자원이 사용 가능 할 때 후행 센서 데이터의 대기시간을 산출하는 알고리즘을 제안하였다. 또한 실험을통하여 센서데이터의증가가 대기시간 감소에얼마나 영향을 줄수 있는지를 알아보았다. 실험을 통해 얻어진 결과는 자원이 개수를 2배 증가시키면 대기시간의 감소는 2배 이상이라는 것이다. 복수의 자원을 각 처리 단계에서 센서데이터에 할당하는 방법에 따라 실험을 수행하였다. 첫 번째는 순차적으로 센서 데이터에게 자원을 할당하는 방법이고 두 번째는 자원이 처리해야 할 센서데이터 처리시간 합이 균등하도록 할당하는 방법이다. 두 가지 방법에 대한 실험으로 얻어진 결과는 자원을 할당함에 있어서 순차적으로 할당하는 것보다는 처리 시간 합이 균등하도록 자원을 할당하는 것이 대기시간 감소에 효과적이었다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.211-212
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• 2003

지금까지는 주로 대기질 기준을 근거로 24시간 평균 TSP(total suspended particulates), PM$_{10}$, PM$_{2.5}$를 측정하여 왔다. 대기 에어로졸의 농도나 입경분포에 영향을 미치는 배출량, 기온, 상대습도, 풍향, 풍속, 혼합고 등이 12~24시간 이내의 스케일로 변한다(Shen et al., 2002). 그러므로, 대기 에어로졸의 일변화 특성을 파악하기 위하여 실험실에서 사용되던 실시간 에어로졸 입경분포 측정기가 대기 에어로졸 모니터링에 활용되고 있으며(배귀남 등, 2003; Woo et at., 2001; Laitinen et al., 1996), 최근에는 대기 에어로졸을 모니터링을 목적으로 개발된 제품이 시판되고 있다.(중략)략)

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.27-35
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• 2018

This study aimed to analyze the association among dental care consumers' responses to waiting time, hospital image, and patient satisfaction and provide basic data that could help qualitative waiting conditions management related to health care service. A survey was conducted from May 18 to June 20, 2016 in adults who had spent waiting time at dental hospitals or clinics, and the following conclusion was drawn: Hospital image was associated with the changes in reliance on dental care centers in case of long wait, the changes in reuse intentions, and the reservation system, and patient satisfaction was associated with gender, explanation of expected waiting time, the changes in reliance on dental care centers in case of long wait, the changes in reuse intentions, and the reservation system. The positive responses to waiting time was positively correlated with hospital image and patient satisfaction; the negative reaction to waiting time was negatively correlated with hospital image and patient satisfaction; and hospital image was positively correlated with patient satisfaction.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.18-29
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• 2022

Since the operation of an reft-turn actuated signal driven mainly by vehicles may increase the waiting time for walking, this signal causes inconvenience or stress to pedestrians. Therefore, in this study, the change in waiting time for walking before and after the application of an reft-turn actuated signal and the stress on the pedestrians were investigated through a questionnaire. The investigation showed that the waiting time for walking increased by 37% during non-peak time. Also the waiting time for walking of 62.1% of pedestrians became longer and 78% of them were stressed because of it. Meanwhile, simulation(VISSIM) showed that the vehicle travel speed slightly decreased to 1.07km/h(a 2.5% decrease), and the average waiting time for walking decreased by 15.51sec(a 28% decrease) with a pedestrian priority actuated signal. Therefore, it is expected that the pedestrian priority actuated signal can reduce the waiting time for walking and relieve pedestrian stress.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8820-8829
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• 2015

While medical services are recognized to be crucial in a process of disease treatment, the research has been done with the service space and waiting time in a medical institution. This paper's objective is to evaluate the waiting areas of lobby, outpatient clinic, operating room in a general hospital and to draw factors of architecture design for further improvement, identifying strengths and weaknesses to be analyzed in terms of medical service. Research method is to define concepts of waiting time through literature review and advanced researches, analyze characteristics of architectural plan through drawing analysis and site survey. This research will contribute to the improvements of the planning methods which will reduce the waiting time and increase the quality of medical service.