• Information Systems Review
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• v.22 no.1
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• pp.147-165
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• 2020

The sharing economy service is now spreading in various fields such as accommodation, cars and bicycles. In particular, bicycle-sharing service have become very popular around the world, and since September 2015, Seoul has been providing a bicycle-sharing service called 'Ttareungi'. However, the number of bicycles is unbalanced among rental stations continuously according to the user's bicycle use. In order to solve these problems, we employed social network analysis using Ttareungi data in Seoul, Korea. We analyzed degree centrality, closeness centrality, betweenness centrality and k-core. As a result, the degree centrality was found to be closely linked with bus or subway transfer center. Closeness centrality was found to be in an unbalanced departure and arrival frequency or poor public transport proximity. Betweenness centrality means where the frequency of departure and arrival occurs frequently. Finally, the k-core analysis showed that Mapo-gu was the most important group by time zone. Therefore, the results of this study may contribute to the planning of relocation and additional installation of bike rental station in Seoul.

• Journal of Advanced Navigation Technology
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• v.19 no.4
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• pp.318-322
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• 2015

In wireless communication networks, most of the prediction techniques are used for predicting the amount of resource required by user's calls for improving their demanding quality of service. However, we propose a channel allocation scheme based on predicting the resources of white spectrum holes for improving the QoS of rental user's spectrum handoff calls for cognitive radio networks in this paper. This method is supported by Wiener predictor to predict the amount of white spectrum holes of license user's free spectrum resources. We classify rental user's calls into initial calls and spectrum handoff calls, and some portion of predicted spectrum-hole resources is reserved for spectrum handoff calls' priority allocation. Simulations show that the performance of the proposed scheme outperforms in spectrum handoff call's dropping rate than an existing method without spectrum hole prediction(11% average improvement in 50% reservation).

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.107-120
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• 2023

The public bicycle of Seoul, Ttareungyi, was launched at October 2015 to reduce traffic and carbon emissions in downtown Seoul and now, 2023 Oct, the cumulative number of user is upto 4 million and the number of bike is about 43,000 with about 2700 stations. However, super growth of Ttareungyi has caused the several problems, especially demand/supply mismatch, and thus the Seoul citizen has been complained about out of stock. In this point, this study conducted a real time demand forecasting model to prevent stock out bike at stations. To develop the model, the research team gathered the rental·return transaction data of 20,000 bikes in whole 1600 stations for 2019 year and then analyzed bike usage, user behavior, bike stations, and so on. The forecasting model using machine learning is developed to predict the amount of rental/return on each bike station every hour through daily learning with the recent 90 days data with the weather information. The model is validated with MAE and RMSE of bike stations, and tested as a prototype service on the Seoul Bike Management System(Mobile App) for the relocation team of Seoul City.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.2
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• pp.83-92
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• 2024

Currently, various countries are enhancing accessibility by providing bicycle rental services for convenient usage within daily life. This paper introduces the Nubija public bicycle service in Changwon, South Korea, aiming to address the imbalance between demand and supply of Nubija bicycles. We propose a Highest Priority Reallocation Scheme to prevent this disparity. Comparing this scheme with others that randomly visit terminals for redistribution and those that prioritize terminals closest to current locations, we illustrate its superior efficiency. Our proposed Highest Priority Reallocation Scheme prioritizes terminals with the highest demand and shortest distances nearby. Through experiments, our proposed scheme demonstrates superior performance, with the lowest average of 817.44km distance and an average of 6437.45 times, i.e., 88.14% successful rental occurrences. This highlights its superiority over the other two algorithms.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.7-16
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• 2011

This is a study on operation system's application method for leading-in public bike operation system through researching on case study at home and abroad, and situation research in Naju city. In the 1st research, studied about the main problems showed at application cases of public bike system at domestic and overseas, such as using time, danger for be stolen and damaged. 2nd research focuses on necessarily of leading-in operation system to be used easily by city residents and travelers of Naju City which is the scheduled city for leading-in public bike system. 3rd research is on the basis of the result showed in 1st and 2nd research, supplied some problems' solving method for France Veblib System, such as lending and rental process using mobile, system operation process, communication process. Also, supplied the application method for problems showed at 1st and 2nd research and civil service proposal. The leading-in method study on public bike operation system was done through above research, also case study at home and abroad, situation study, and rental program module development, and this operation system is worked as an model operation system in Naju City. The future study of leading-in operation system will be more effective by means of summing up test running result.

• 지역과문화
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• v.6 no.1
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• pp.1-27
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• 2019

The study explores the way how sharing economy services of accommodation and car rental, one of social issues actively discussed today are settled in the process of sharing economy building in local destinations. The result shows that average consumers expressed their favorable attitude toward the sharing economy services. However, the consumer's attitude didn't directly affect the consumer's positive perception that there is need for local sharing economy service network and the educational system for local residents and the network helps the economy. Instead consumer's knowledge of sharing economy services and their eagerness to learn the knowledge as parameters related the consumer's attitude to their perceptions; the consumer's attitude affected indirectly their perceptions. The study shows that local communities and their residents' efforts are not enough simply to activate the sharing economy services in the development process of tourist resources, while it asks consumers to learn information and knowledge of the sharing economy. Therefore, consumers and residents should interact and communicate closely with each other to help the development of local destinations and tourist resources based on sharing economy.

• Korea Journal of Hospital Management
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• v.6 no.1
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• pp.147-163
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• 2001

The purpose of this study was to find out the restructuring strategy for five provincial hospitals through the business analysis and survey of the service area. Through the survey of the service area of 5 hospitals. service area was classified into three groups, such as underserved area, adequate area, and overserved area. The strategy for the restructuring the clinical departments was set up based on the result of the business analysis and characteristics of the service area. The result of the study was as follows; 1) Whether or not a provincial hospital has specialized in specific area according to the circumstances and the needs of the community was the major factor influencing on the operating result of the hospital. 2) Provincial hospitals at the underserved area has to invest according to the changes of the occupancy rate and increasing pattern of the number of patients while maintaining the status as a general hospital. 3) Provincial hospitals at the adequate area has to lower the grade from the general hospital down to the hospital first and has to upgrade the competency through the restructuring the clinical departments and investment in specific area. 4) Provincial hospitals at the overserved area has to lower the grade from the general hospital down to the hospital first and has to seek ways to change the hospital fundamentally into geriatric hospital, pneumoconiosis hospital or psychiatric hospital etc. Provincial hospitals incapable to compete with private hospitals and clinics has to lower the grade from the general hospital down to the hospital first, to specialize in specific area and to restructure some clinical departments into rental base or self-operating basis. In case such methods are judged not so good solution, provincial hospitals has to find out ways such as shut-down of several departments or operating under the attending system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3865-3883
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• 2016

Infrastructure as a Service (IaaS) encapsulates computer hardware into a large amount of virtual and manageable instances mainly in the form of virtual machine (VM), and provides rental service for users. Currently, VM anomaly incidents occasionally occur, which leads to performance issues and even downtime. This paper aims at detecting anomalous VMs based on performance metrics data of VMs. Due to the dynamic nature and increasing scale of IaaS, detecting anomalous VMs from voluminous correlated and non-Gaussian monitored performance data is a challenging task. This paper designs an anomaly detection framework to solve this challenge. First, it collects 53 performance metrics to reflect the running state of each VM. The collected performance metrics are testified not to follow the Gaussian distribution. Then, it employs independent components analysis (ICA) instead of principal component analysis (PCA) to extract independent components from collected non-Gaussian performance metric data. For anomaly detection, it employs multi-class Bayesian classification to determine the current state of each VM. To evaluate the performance of the designed detection framework, four types of anomalies are separately or jointly injected into randomly selected VMs in a campus-wide testbed. The experimental results show that ICA-based detection mechanism outperforms PCA-based and LDA-based detection mechanisms in terms of sensitivity and specificity.

• Human Ecology Research
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• v.54 no.6
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• pp.589-598
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• 2016

The study finds a constructive way to improve shared houses by analyzing shared house living conditions, satisfaction of the residents and potential consumer's needs. For this, a survey of 179 single-person university residents and interviews with seven young adults residing in shared house was conducted. The results showed that shared house tenants had high satisfaction in regard to bedrooms, common spaces, and rental costs. They successfully adapted to community life by frequently using the living, dining spaces, and common spaces with respect and consideration towards other tenants by following rules. Single-person university household should prefer single rooms and the biggest consideration when they move into a shared house is rent. Affordable rates were 300,000 to 350,000 Korean Won per month (40.5%) and deposit of 3 million won or less (64.3%). Results also showed a need for a professional manager residing in the house with a cleaning service for common spaces and a want to share hobbies with other tenants (3.25/5 point scale). It is very important in a housing welfare perspective that one experiences the value of living and emotional sharing to heighten the satisfaction through shared houses. It is essential to put effort into developing a service that reflects consumer's needs for shared houses to continue as a housing alternative model for young adults.

• Journal of The Korea Institute of Healthcare Architecture
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• v.16 no.3
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• pp.49-56
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• 2010

In Japan, a lot of elderly housing types have been developed in order to meet various needs of the older person and the change of social situations. Elderly housings can be divided into three categories elderly housings for healthy older persons, elderly care homes for the healthy and elderly care facilities for the unhealthy. Elderly housings include public and private rental housings. Sometimes they can be designated only for the elderly. Elderly care homes for the healthy elderly include full fee charging elderly housing, elderly homes, low fee charging elderly homes and care houses. Elderly care facilities for the unhealthy elderly consist of full fee charging elderly care homes, group homes for the dementia, elderly health facilities, nursing homes, elderly hospitals, and so on. However "elderly care facilities" have been proved not to be efficient for the delivery of elderly welfare services nor satisfactory to the frail older person. Therefore, based on the concept of the "Normalization", daily services have been provided for the elderly in order that they can live at their own home in the community for themselves. As a result, Japan aims not only to reduce elderly welfare expenses but also to increase elderly users' satisfaction. Emphasis on non-institutionalization and in-home services, regional characterization, harmony between Hard and Soft, user oriented services, substantiality, universal design and so on are sought for the sake of those goals.