• 제목/요약/키워드: Visiting Probability

검색결과 27건 처리시간 0.023초

순서형 로짓 모형을 이용한 여수 아쿠아리움 방문확률의 추정 (The Estimation of a Probability to visit the Yeosu Aquarium with an Ordered Logit Model)

  • 이창근;하재연;김의준
    • 농촌계획
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    • 제16권1호
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    • pp.1-8
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    • 2010
  • The purpose of this paper is to estimate a probability to visit the Yeosu Aquarium with an ordered logit model. Ordered logit model is affordable to estimate the probability when the dependant variable represents likert-type scale. The estimated results are as follows. The more income induces the visiting-expectation. The experience for another aquarium and the visiting-expectation for the Yeosu EXPO are contributed to the visiting-expectation for the Yeosu Aquarium. The needs to visit the Yeosu Aquarium is low in Kyoungsang area and Seoul-Kyounggi-Incheun Metropolitan area. This is related to the Aquarium facilities, which were established in each area. In average level conditions regarding to all independent variables the probability to visit the Yeosu Aquarium is calculated to 15.75%. However, the probability to visit to the Yeosu Aquarium is decreasing according to the change of an admission fee.

이종 확률적 외판원 문제를 위한 최소 평균거리 삽입 및 집단적 지역 탐색 알고리듬 (A Minimum Expected Length Insertion Algorithm and Grouping Local Search for the Heterogeneous Probabilistic Traveling Salesman Problem)

  • 김승모;최기석
    • 산업경영시스템학회지
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    • 제33권3호
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    • pp.114-122
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    • 2010
  • The Probabilistic Traveling Salesman Problem (PTSP) is an important topic in the study of traveling salesman problem and stochastic routing problem. The goal of PTSP is to find a priori tour visiting all customers with a minimum expected length, which simply skips customers not requiring a visit in the tour. There are many existing researches for the homogeneous version of the problem, where all customers have an identical visiting probability. Otherwise, the researches for the heterogeneous version of the problem are insufficient and most of them have focused on search base algorithms. In this paper, we propose a simple construction algorithm to solve the heterogeneous PTSP. The Minimum Expected Length Insertion (MELI) algorithm is a construction algorithm and consists of processes to decide a sequence of visiting customers by inserting the one, with the minimum expected length between two customers already in the sequence. Compared with optimal solutions, the MELI algorithm generates better solutions when the average probability is low and the customers have different visiting probabilities. We also suggest a local search method which improves the initial solution generated by the MELI algorithm.

A Human Mobility Model in Shipyards

  • Duong, Dat Van Anh;Yoon, Seokhoon
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권4호
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    • pp.93-101
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    • 2020
  • Shipyards are potential environments for using IoT services, sensor networks, and delay tolerant networks. Simulations of those services and networks strongly rely on human mobility models. Results obtained with an unrealistic model may not reflect the true performance of applications, protocols, and algorithms in a shipyard. A lot of synthetic models for human movements have been studied but most of them are generic and focus on the daily movements of humans on city scales. Nevertheless, workers in shipyards have unique movement characteristics such as movement speed, pause time, and attractions places. For instance, workers usually move to some places, where they work, and rarely move to other places in the factory. Movement characteristics of workers not only depend on workers but also on tasks, which they do. For instance, workers, who paint ships, have similar movement speed and pause time. Hence, in this paper, human movements in shipyards are studied. We propose a new human mobility model called the human mobility mode in shipyards (MIS). In MIS, workers are classified into multiple types. Movement characteristics of a worker are similar to other workers in the same type. Based on the visiting probability, workers have some places, where they frequently visits, and some places, where they rarely visit. We analyze real mobility traces and studie to achieve human movement characteristics from real traces. The results show that MIS provides a well-match to the movement characteristic from real traces.

Improved Exploration Algorithm Using Reliability Index of Thinning Based Topological Nodes

  • Kwon, Tae-Bum;Song, Jae-Bok;Lee, Soo-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.250-255
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    • 2005
  • For navigation of a service robot, mapping and localization are very important. To estimate the robot pose, the map of the environment is required and it can be built by exploration or SLAM. Exploration is the fundamental task of guiding a robot autonomously during mapping such that it covers the entire environment with its sensors. In this paper, an efficient exploration scheme based on the position probability of the end nodes of a topological map is proposed. In this scheme, a topological map is constructed in real time using the thinning-based approach. The robot then updates the position probability of each end node maintaining its position at the current location based on the Bayesian update rule using the range data. From this probability, the robot can determine whether or not it needs to visit the specific end node to examine the environment around this node. Various experiments show that the proposed exploration scheme can perform exploration more efficiently than other schemes in that, in most cases, exploration for the entire environment can be completed without directly visiting everywhere in the environment.

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방문건강관리사업을 통한 재가 관절통증환자 집중관리 프로그램의 효과 (The Effects of Intensive Management Program of Home Visiting Health Service for community dwelling Clients with Arthralgia)

  • 박금숙;정헌영;김영희;이경완
    • 대한예방한의학회지
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    • 제18권2호
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    • pp.69-80
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    • 2014
  • Objective : The purpose of this study was to investigate the effects of Intensive management program of home visiting health service for community dwelling Clients with Arthralgia. Method : A nonequivalent control group pretest-posttest design was used for this study. Elderly people who agreed to participated in the study were assigned to an experimental group (n=30) or a control group (n=30). For an experimental group, The Intensive Management program was given as a home visiting health service once a week for 8 weeks. Study outcomes were measured by structured questionnaires from August, 2013 to october. For data analysis, Chi-square test, Fisher's exact probability test, independent t-test, and paired t-test were performed using SPSS version 17.0. Results : Changes in pain, fatigue, medical service utilization and self management compliance were significantly different between the two groups in pretest and posttest(t=-4.828, p < .001), (t=-4.944, p =.001), (t=2.176, p =.039), (t=3.141, p =.003). And there were significant difference between the two groups in left extension and flexion of knee(t=-2.241, p < .031), (t=2.166, p < .037). Conclusion : The intensive management program was effective on decreasing pain, fatigue, medical service utilization, and increasing flexibility of knee joint and self-management compliance of community dwelling clients with arthralgia.

더블허들 모형을 이용한 전통시장 재방문객의 농산물 구입결정 요인에 관한 연구 (A Study on Purchasing Agricultural Products of Re-visitors In Traditional Market Using Double Hurdle Model)

  • 이향미
    • 농촌계획
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    • 제21권2호
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    • pp.137-147
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    • 2015
  • In this study, consumers who have experience of visiting Jeongsun Arirang Market has been selected as samples to understand the characteristics of agricultural products purchase. For this, double hurdle model was used in order to resolve sample selection problem and obtain consistent estimator. The key points are the following. First, as the age increases(up to 59.8 years), chances of purchasing the products at traditional market increase as income increases. Second, when the residence area is outside of Gangwon-province, the purchase amount of the products increased compared to those from visitors within the Gangwon province. Also, visitors who use public transportations purchase less products compared to those who use their own car. Third, probability of agricultural products increase as the visitors consider positive effect the product purchase leads to the local farmers. Fourth, if the visitors consider the quality of the agricultural products, probability of purchasing agricultural product at the site increases. However, if the visitors consider the freshness of the agricultural products, the purchase amount rather drops. Fifth, the probability of purchase increases as visitors consider the brand of traditional market.

반도체공장의 위험물 교체작업시 인적과오에 대한 정량적 분석 (A Quantitative Analysis on Human Errors in Shifting Hazardous Materials of Semiconductor Plants)

  • 임현교
    • 한국안전학회지
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    • 제12권4호
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    • pp.161-168
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    • 1997
  • Most plants producing semiconductors use a lot of chemicals, hazardous materials, and explosive gases. Though those materials are hazardous too much, some works still have to be done manually by human workers. However, according to a historical survey, more than half industrial accidents of those plants resulted from human errors or malfunctions. Thus, this research aimed 1) to diagnose shifting hazardous materials of semiconductor plants, 2) to estimate failure probability of human workers through human reliability analysis, and 3) to find out the tasks on which educational emphasis should be put. Through personal interview and visiting working spots, shifting tasks were analyzed, and modelled into a 24-step work, and after that, THERP and ETA was applied. During the shifting work, estimated human failure probability under the assumption of independency, 2.3004E-05, underestimated that probability 8. l008E-05 which could be calculated under the assumption of dependency. And this analysis showed that gas leakage from an old cylinder occupies 78.27% in the case of independent failures whereas gas leakage from a new cylinder occupies 75.06% in the case of dependent failures. So it was concluded that dependency assumption may gloss real situations. In addition, confirming gauge of regulators and closing valves turned out to be the most important tasks than purge tasks.

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식중독 발생 위해인자로서 가정용 냉장고의 온도에 대한 확률분포 분석 (Statistical Probability Analysis of Storage Temperatures of Domestic Refrigerator as a Risk Factor of Foodborne Illness Outbreak)

  • 박경진
    • 한국식품과학회지
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    • 제42권3호
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    • pp.373-376
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    • 2010
  • 본 연구는 국내에서의 가정내 냉장고 온도에 대한 조사를 수행하여, 현 시점에서의 냉장고에서의 식품보관 온도분포를 추정하였고, 이를 MRA(미생물 위해평가: Microbial risk assessment)의 입력변수로 활용할 수 있도록 적정 확률분포 모델을 제시하였다. 일반적으로 가정내 냉장고에서의 식품 보관온도는 식중독 발생 등에서 있어 중요한 위해인자로 작용하는 것으로 알려져 있다. 조사대상 가구는 총 139가구이었으며, 조사기간은 2009년 5월에서부터 9월까지 data logger를 이용하여 측정하였다. 조사된 냉장고 온도의 평균은 $3.53{\pm}2.96^{\circ}C$로, $5^{\circ}C$ 이상은 23.6%로 나타났다. 수집된 온도자료는 @RISK를 이용, 적합성 검정(GOF: K-S와 AD test)을 수행하여 적정 확률분포모델에 대해 추정하였고, 이중 LogLogistic(-10.407, 13.616, 8.6107)분포 모델이 가장 적절한 국내에서의 가정내 냉장고 식품보관 온도분포 모델로 나타났다. 이 확률분포 모델은 MRA적용에 있어 노출평가에서 입력변수로서 직접적 활용이 가능하다고 할 수 있겠다.

Conjoint Choice Model을 이용한 주제공원 이용자들의 선택행동 연구 (A Study on the Theme Park Users's Choice behavior: Application of Conjoint Choice Model)

  • 홍성권
    • 한국조경학회지
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    • 제28권1호
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    • pp.19-28
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    • 2000
  • The purposes of this study are two folds: a) to introduce conjoint choice model to research the choice behavior of theme park users, and b) to suggest the strategies to strengthen the competitiveness of theme parks. The major four theme parks in Seoul metropolitan areas were selected as study areas. A leading polling agency was employed to select 432 respondents by probability sampling and to conduct face-to-face interview. Both alternative generating and choice set generating fractional factorial design were conducted simultaneously to meet the necessary and sufficient conditions for calibration of the conjoint choice model. Dummy coding was used to represent the attribute levels, and the alternative-specific model was calibrated. The goodness-of-fit of the model was quite satisfactory($\rho$$^2$=0.47950), and most parameters values had to expected sign and magnitude. Car was preferred transport mode to shuttle bus for visiting theme parks ; however the most ideal attribute levels only were estimated significantly. Most attribute levels of shuttle bus were estimated significantly except the Dream Land, which is the least attractive park among study areas. Simulation results showed that the shuttle bus was a mode worth providing to switch the current car dominant visiting pattern of theme parks, which will be one the effective strategies to attract more patrons, especially for potential users adjacent to parks. Several ideals were suggested for future researches, in terms of utilization of more general utility function and new base alternative, and inclusion of more salient attributes such as constraints in the model.

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Mitigating Cache Pollution Attack in Information Centric Mobile Internet

  • Chen, Jia;Yue, Liang;Chen, Jing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5673-5691
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    • 2019
  • Information centric mobile network can significantly improve the data retrieving efficiency by caching contents at mobile edge. However, the cache pollution attack can affect the data obtaining process severely by requiring unpopular contents deliberately. To tackle the problem, we design an algorithm of mitigating cache pollution attacks in information centric mobile network. Particularly, the content popularity distribution statistic is proposed to detect abnormal behavior. Then a probabilistic caching strategy based on abnormal behavior is applied to dynamically maintain the steady-state distribution for content visiting probability and achieve the purpose of defense. The experimental results show that the proposed scheme can achieve higher request hit ratio and smaller latency for false locality content pollution attack than the CacheShield approach and the baseline approach where no mitigation approach is applied.