• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.227-238
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• 2013

The business based existing BPMN model is a lack of service oriented modeling techniques. Therefore, it requires a layered technique of service oriented business modeling so that can meet the design for a complex application system, developing a system based on SOA. In order to enhance reusability and modularity of BPMN business model, this paper proposes a metamodel and business modeling process based on this metamodel that can hierarchically build a BPMN model. Towards this end, the XL-BPMN metamodel hierarchically established based on MDA and MVS styles are first defined. Then a BPMN service modeling process is constructed based on modeling elements of this metamodel according to the modeling phases. Finally, the result of a case study in which the proposed method is applied to an online shopping mall system is discussed. With the use of well-defined metamodel and modeling process, it is hoped that it can be shown that a service dominated and layered BPMN business model can be established, and that the modularity and reusability of the constructed BPMN business model can be maximized.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.173-191
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• 2008

As volumes of electronic commerce increase rapidly, customers are faced with information overload, and it becomes difficult for them to find necessary information and select what they need. In this situation, recommender systems can help the customers search and select the products and services they need more conveniently. These days, the recommender systems play important roles in customer relationship management. In this research, we develop a recommender system that recommends the books to the customers of Internet bookstore. In previous researches on recommender systems, collaborative filtering technique has been often employed. For the collaborative filtering technique to be used, the rating scores on books given by previous purchasers have to be collected. However, the collection of rating scores is not an easy task in reality. Therefore, in this research, we employed case-based reasoning technique that can work only with the book purchase history of customers. The accuracy of recommendation of the resulting book recommender system was about 40% on the level 3 classification code.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.18-20
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• 1999

대용량 데이터의 실시간 처리를 요구하는 멀티미디어 시대에 고성능 입출력을 제공할 수 있는 저장 시스템으로서 디스크 어레이가 보편적으로 사용되고 있다. 비용 효율적인 디스크 어레이가 설계될 수 있도록 디스크 어레이의 성능을 분석할 수 있는 성능 모델의 개발은 중요하다. 큐잉 모델링을 통해서 성능 평가를 할 수 있는 방법으로는 큐잉 이론이나 시뮬레이션을 이용할 수 있다. 디스크 어레이의 병렬 및 병행 처리 특성상 큐잉 이론의 분석적인 방법의 한계성을 인식하고, 본 논문에서는 낮은 수준에서 디스크 어레이 시스템을 추상화한 시뮬레이션 기법을 이요하여 디스크 어레이의 성능 평가를 수행한다. 시뮬레이션을 통해서 산출된 디스크 어레이 요구에 대한 평균 응답 시간, 평균 큐잉 지연, 평균 서비스 시간, 평균 길이 및 디스크 어레이 시스템의 이용률, 처리율 등은 최적화된 디스크 어레이 설계를 위한 시스템의 용량 산정에 활용될 수 있다.

• Korean Journal of Construction Engineering and Management
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• v.18 no.3
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• pp.52-62
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• 2017

The purpose of this study is to develope an assessment method for parking lot remodeling alternative by adopting the asset management technique. In order to identify the Level of Service(LOS) and the Evaluation Measurement(EM), literatures was implemented which documented the consideration of parking lot plan, needs of the apartments' tenant, and various design standards. In addition, the authors conducted a three-time delphi survey for the identified 5 LOS and 19 EM to evaluate suitability and necessity of them and to collect additional opinion of experts. The LOS of parking lot were categorized into 5 areas such as Environmental effect and Convenience, Accessibility and so on. The 19 EM were determined to estimate the LOS quantitatively. The researchers analyzed the degree of importance of LOS and EM by using the Analytic Hierarchy Process (AHP) method. But construction cost was excepted from the analysis, because it is used as an independent variable in alternative assessment. In conclusion, the authors proposed the estimation criteria for EM, and the method and process for alternative assessment be performed to benefit-cost analysis using the LOS variation and construction cost. The assessment method for parking lot remodeling alternative was demonstrated effective to assess the parking lot remodeling alternative by case-study. This study has a academic significance by adopting the asset management techniques in the area of the parking lot remodeling. And the assessment method is expected to help deciding a reasonable remodeling alternative of parking lot, as it ensures the diversity for remodeling of the parking lot and reflects the needs of the occupant.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.12-25
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• 2016

The purpose of this study is providing an evaluation criteria for appropriateness of bicycle riding path considering trip purpose based on cyclist's response of importance and satisfaction. The survey presents a quantified criteria of evaluating appropriateness of the bicycle path by investigating difference of impotance and satisfaction between two purposes among 5 selected influence factors about bicycle lane and bicycle parking facility, and in case of commuting purpose, information of destination is additionally considered. All the influence factors are analyzed by Analytical Hierarchy Process (AHP) which yields importance. For the factors which have a huge difference between two purposes, evaluation criteria using a GIS Data of respondent's path and satisfaction of each factors is developed, and other factors are made it by reviewing literature. The importance analyzed by AHP and evaluation criteria can provide a path based LOS for cyclist, and this information can be improved through user's response from app or search engine in the future. and by considering individual's evaluation, it can provide individually specified information.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.183-196
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• 2022

Public transportation accessibility has been evaluated through minimum level of service for public transportation. However it is evaluated based operators rather than users. This study analyzed the users' accessibility(first-mile, last-mile) to public transportation using altteul transport card data. As a result of user's accessibility of public transportation, rural areas was lower than that in the urban areas. This study calssified type 1 and 2 based average approach time, and average approach time of Type 1 and 2 were more than average approach time of total area. We propsed an efficient introduction of autonomous public transportation on-demand service using delphi survey. As a result of delphi survey, experts agreed on 9 items regarding function, service item, route operation, approach distance, route mileage, punctuality.

• Journal of KIISE:Information Networking
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• v.27 no.1
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• pp.76-87
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• 2000

ATM is a key technology of integration of multimedia service. Recently, Many study have been concentrated on performance testing for evaluation network performance are stronger everyday. The performance testing is on evaluation of maximal throughput of network by measuring and analyzing of various performance parameters. There are two ways to test ATM network performance; one is using QoS in cell level on the point of network's view, and the other is using metric in frame level in the point of user's view. And, the standardization process is also under way. In this paper, we derive a performance requirement of TCP in TCP/IP data transmission over ATM UBR service. By applying the derived requirements to ATM and packet networks, we evaluate the performance of TCP over UBR based on the result of our simulations. Therefore, we evaluate the result of simulation and find degradation of network throughput by interaction between TCP congestion control and ATM cell drop policy. So we suggest the accelerated Vegas that modify traditional TCP Vegas in congestion control mechanism for batter network throughput.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.383-394
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• 2013

As a way of augmenting constrained resources of mobile devices such as CPU and memory, many works on mobile cloud computing (MCC), where mobile devices utilize remote resources of cloud services or PCs, have been proposed. Typically, in MCC, many nodes with different operating systems and platform and diverse mobile applications or services are located, and a central manager autonomously performs several management tasks to maintain a consistent level of MCC overall quality. However, as there are a larger number of nodes, mobile applications, and services subscribed by the mobile applications and their interactions are extremely increased, a traditional management method of MCC reveals a fundamental problem of degrading its overall performance due to overloaded management tasks to the central manager, i.e. a bottle neck phenomenon. Therefore, in this paper, we propose a clustering-based optimization method to solve performance-related problems on large-scaled MCC and to stabilize its overall quality. With our proposed method, we can ensure to minimize the management overloads and stabilize the quality of MCC in an active and autonomous way.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.172-174
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• 2006

무선 센서 네트워크에서는 네트워크 크기가 한정되어 있기 때문에 모든 센서 노드들이 활성화되지 않아도 네트워크 서비스를 제공할 수 있다. 불필요한 전력 소모를 줄이기 위하여 최소수의 센서 노드들을 활성상태로 전환한다. 그러나 예상하지 못한 센서 노드의 오작동으로 인하여 감지 및 전송기능을 수행하지 못하는 경우, 네트워크 서비스를 안정적으로 제공해줄 수 없다. 따라서 감지수준을 일정하게 유지하는 것은 신뢰할 수 있는 감지환경을 제공하는데 있어 매우 중요하다. 본 논문에서는 기존의 센서 노드 스케줄링방법보다 적은 오버헤드를 가지면서 센서 노드의 결함으로 인한 부작용을 극복하는 새로운 센서 노드스케줄링을 제안하며. ANS(An Adaptable Node Scheduling scheme)로 명명한다. 성능평가를 통해 ANS의 신뢰성과 안정성에서의 개선점을 네트워크 감지영역과 제어 패킷 전송 개수 측면에서 확인한다.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.469-474
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• 2010

본 연구에서는 보건기관이 효율적으로 고혈압 관리 대상자를 탐색하고, 고혈압 관련 요인에 대한 지식을 효과적으로 관리할 수 있도록 하는 고혈압 고위험군 추정 모형 및 우선 사업 대상자 탐색 모형을 제안한다. 특히, 대용량 데이터 처리 및 실시간 시스템 운영, 외부 환경 변화를 고려한 자동 학습과 같은 현실적인 제약 조건을 해결하는 모형을 개발하는 것을 주 목표로 한다. 지역 보건소에서 수집된 의료 데이터를 이용하여 최적의 파라미터 값을 설정한 고혈압 고위험군 탐색 모형을 도출하였으며, 모형의 검증을 위하여 고혈압 환자정보로 구성된 평가용 데이터를 사용하여 고혈압 자연 발병률 대비 약 2배 수준으로 향상된 고혈압 환자 예측 정확도가 얻어지는 것을 확인하였다. 시스템 운영과 유비보수 측면에서 현실적으로 중요한 문제인 대용량 데이터 처리 및 외부 환경 변화에 강인한 자동학습 이슈를 해결하기 위한 방안에 대해서도 설명하였다.