• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.351-354
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• 2005

In 2004. as a part of special housing policy for low income household, Korean government initiated 'Multiple-dwelling Purchase and Public Rental Program'(MDPPRP) to help people whose needs for appropriate housing cannot be met in private housing market. The main goal of this program was to provide the base for self support of tenants by purchasing 'Multiple-housing' in bundle and transferring them into rental housing with low price to the low income tenants. Unlike other public rental housing programs, this model program limited the length of stay in the rental housing by six years to lead tenant's self support. The purpose of this study was to evaluate the effectiveness of this model program for further expanding enforcement. For this, two groups of residents of 'multiple-dwelling purchase and public rental program' and permanent rental housing were compared and analyzed. Thirty two tenants of MDPPRP were interviewed for the study. As research methods, document review, onsite tenant interviews using questionnaire were used. As a whole, most of the tenants were satisfied with their 'multiple-dwelling' environment in physical and socio-psychological aspects.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.319-322
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• 2015

사람 몸의 약 70%를 구성하고 있는 물에 대한 현대인의 관심은 줄어만 가고 최근 들어 늘어가는 카페들과 각종 재료를 첨가한 달콤한 음료들이 생활 속에 깊숙이 파고 들고 있다. 아침에 일어나자마자 마시는 것은 물이 아닌 커피, 식사 후 지인들과의 대화에 함께 하는 것 또한 물이 아닌 카페 음료들, 각종 패스트푸드 섭취와 함께 마시는 탄산음료들은 물이 설 자리를 빼앗고 있다. 이러한 생활 습관은 현대인들의 물 섭취량 감소를 촉진하며 건강의 적신호를 보내고 있다. 이 어플리케이션의 목적은 지금의 위험 상황을 자각하지 못하는 현대인들을 위해 다양한 서비스를 통해 자동으로 물 섭취를 권장하고자 한다. 개개인에게 맞춤형 서비스를 제공함으로써 체내의 물 부족 현상에 대한 자각심을 일깨우고 스스로 점검할 수 있게 한다. 멀티 테넌트 환경으로 구현하고자 BaaS 플랫폼을 통해 서버 구축, DB 설계, 서비스 기능 개발 연구를 진행하고 모든 리소스가 공유되어 사용자에게 물 섭취 기록, 기록을 볼 수 있는 타임라인, GPS 를 활용한 주변의 물 위치 정보를 제공한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.63-67
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• 2024

Recently, artificial intelligence (AI) workloads encompassing various industries such as smart logistics, FinTech, and entertainment are being executed on the cloud. In this paper, we address the scheduling issues of various AI workloads on a multi-tenant cloud system composed of heterogeneous GPU clusters. Traditional scheduling decreases GPU utilization in such environments, degrading system performance significantly. To resolve these issues, we present a new scheduling approach utilizing genetic algorithm-based optimization techniques, implemented within a process-based event simulation framework. Trace driven simulations with diverse AI workload traces collected from Alibaba's MLaaS cluster demonstrate that the proposed scheduling improves GPU utilization compared to conventional scheduling significantly.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.1-12
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• 2015

To realize futuristic services with agility, the role of the experimental facility (i.e., testbed) based on integrated resources has become important, so that developers can flexibly utilize the dynamic provisioning power of software-defined networking and cloud computing. Following this trend, an OpenFlow-based SDN testbed environment, denoted as OF@TEIN, connects multiple sites with unique SmartX Racks (i.e., virtualization-enabled converged resources). In this paper, in order to automate the multi-point L2 (i.e., Ethernet) inter-connection of OpenFlow islands, we introduce an automated tool to configure the required Network Virtualization using Generic Routing Encapsulation (NVGRE) tunneling. With the proposed automation tool, the operators can efficiently and quickly manage network inter-connections among multiple OpenFlow sites, while letting developers to control their own traffic flows for service realization experiments.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.507-520
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• 2009

The purpose of this study is to analyze the changes in the housing instability of low-income households through their residential mobility. The concept of housing instability is measured by taking into consideration of housing types, number of moves, period of homelessness, and housing affordability index. The result of this study shows that housing instability of low-income households owned their homes is mainly caused from their old housing built in at least 1980, and that of tenant households is due to the heavy burden of rent-to-income ratio. By using multinominal logit model, the study finds that low-income tenant households are more likely to move upwards as they are man-headed, aged and relatively high-income if we categorize residential mobility into four types: upwards, equivalent, trade-off, and downwards migration. Considering that the share of homeowners moving downwards increases while the share of tenants moving upwards decreases as they reside increasingly nearby Seoul, the study finds that low-income households living in big cities are no better off to improve their residential instability for themselves than the low-incomes in local small and midium cities. Furthermore, both low-income owners and tenants are less likely to move downwards as the ratio of single-family housing in former residence increases. Such finding has a policy implication that government needs to maintain affordable single-family housing stock rather than supplying excessive unaffordable multi-family housing in order to enhance residential instability of low-incomes households.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.871-874
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• 2011

The fast emerging of network technology and the high demand of computing resources have prompted many organizations to outsource their storage and computing needs. Cloud based storage services such as Microsoft's Azure and Amazon's S3 allow customers to store and retrieve any amount of data, at anytime from anywhere via internet. The scalable and dynamic of the cloud storage services help their customer to reduce IT administration and maintenance costs. No doubt, cloud based storage services brought a lot of benefits to its customer by significantly reducing cost through optimization increased operating and economic efficiencies. However without appropriate security and privacy solution in place, it could become major issues to the organization. As data get produced, transferred and stored at off premise and multi tenant cloud based storage, it becomes vulnerable to unauthorized disclosure and unauthorized modification. An attacker able to change or modify data while data inflight or when data is stored on disk, so it is very important to secure data during its entire life-cycle. The traditional cryptography primitives for the purpose of data security protection cannot be directly adopted due to user's lose control of data under off premises cloud server. Secondly cloud based storage is not just a third party data warehouse, the data stored in cloud are frequently update by the users and lastly cloud computing is running in a simultaneous, cooperated and distributed manner. In our proposed mechanism we protect the integrity, authentication and confidentiality of cloud based data with the encrypt- then-upload concept. We modified and applied proxy re-encryption protocol in our proposed scheme. The whole process does not reveal the clear data to any third party including the cloud provider at any stage, this helps to make sure only the authorized user who own corresponding token able to access the data as well as preventing data from being shared without any permission from data owner. Besides, preventing the cloud storage providers from unauthorized access and making illegal authorization to access the data, our scheme also protect the data integrity by using hash function.

• Journal of Navigation and Port Research
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• v.44 no.1
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• pp.10-19
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• 2020

Port Gyeongin was developed as a multi-functional port equipped with container and general port facilities and could be linked with nearby tourist attractions. However, it has experienced difficulties from the limitation of being a small port, duplicating functions, and lacking an interlink with nearby ports. Nonetheless, resident companies that need logistics facilities in Port Gyeongin or nearby ports process specific import and export goods such as wood, steel, and industrial products through Port Gyeongin because of the characteristics of the port. From this perspective, it is critical to establish a measure to promote Port Gyeongin through utility analysis of the stakeholders in Port Gyeongin. In this regard, the purpose of this study was to analyze the preference of stakeholders in Port Gyeongin using conjoint analysis and propose a difference in the preference of the stakeholders. Study results show that the terminal group, shippers, and tenant companies considered the berthing capacity, incentive scale, and port logistics cost as the most critical matters, respectively. The stakeholders in Port Gyeongin should recognize the difference in critical matters, and be equipped with shipper discovery and institutional arrangement according to the characteristics of Port Gyeongin such as cooperation with related institutions and inter-collaboration between operating companies to promote Port Gyeongin.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.49-61
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• 2011

In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.