• 대한안전경영과학회지
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• 제12권2호
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• pp.225-230
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• 2010

The purpose of the study was to apply and to expand the six sigma to reduce waiting times for computed tomography (CT) examination which manipulated by the department of radiology. It was preceded by DMAIC (Define, Measure, Analyze, Improve, and Control). In the stage of definition, it wereselected for total 5 critical to quality (CTQ), which were the kindness, the waiting time, the examination explanation, the waiting day and the waiting stand environment, that increased the reserved time of CT examination. In the stage of measurement, the number of examinations and of reservation waiting days performed and resulted in final CTQ(Y) which measured each 1.68 and 1.85 sigma. In the stage of analysis, the examination concentrated on morning time, non-scheduled examination of the day, the delayed time of booking, frequent telephone contacting and equipment malfunction were determined as variable key causes. In the stage of improvement, it were performed with expansion of the examination in the morning time, integration of laboratories that used to in each steps, developing the ability of simultaneous booking schedule for the multiple examinations, developing program of examination request, and the customer management team operations. For the control, the number of examinations and reserved waiting days were measured each 3.14 and 1.13 sigma.

• 제어로봇시스템학회논문지
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• 제12권12호
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• pp.1215-1219
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• 2006

Scheduling plays an important role in the process management in terms of providing profit-maximizing operation sequence of multiple orders and estimating completion times of them. In order to takes its full potential, varying conditions should be properly reflected in computing the schedule. The adjustment of scheduling decisions has to be made frequently in response to the occurrence of variations. It is often challenging because their model has to be adjusted and their solutions have to be computed within short time period. This paper employs Model Predictive Control(MPC) principles for updating the process condition in the scheduling model. The solutions of the resulting problems considering variations are computed using parametric programming techniques. The key advantage of the proposed framework is that repetition of solving similar programming problems with decreasing dimensionis avoided and all potential schedules are obtained before the execution of the actual processes. Therefore, the proposed framework contributes to constructing a robust decision-support tool in the face of varying environment. An example is solved to illustrate the potential of the proposed framework with remarks on potential wide applications.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.13-18
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• 2007

보건복지부의 지원으로 건립하는 부산${\cdot}$경남 최초의 어린이전문병원 건립공사는 양산부산대학교병원과의 연계로 최고시설의 의료타운건립을 목표로 수행중이며 건설사업관리(CM)라는 체계적이고 과학적인 관리기법의 도입 및 적용을 통해 건설프로젝트의 비생산적이고 비효율적인 요소를 제거하여 생산성과 효율성을 향상시키고자 하는 것이다. 이에 본 연구에서는 어린이병원건립사업에 사업관리기법을 설계이전단계부터 턴키업체선정, 시공, 설계VE, PMIS구축, 유지관리단계의 사업 전(全)단계에 적용하여 발생한 효과와 분야별 기술자를 활용한 기본 및 실시설계VE를 통한 사업비 절감 및 공기단축 효과를 제시하고자 한다.

• 스마트미디어저널
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• 제6권3호
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• pp.9-14
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• 2017

본 논문은 사물인터넷 환경의 초소형 기기에서 사용될 수 있는 경량 블록암호 알고리듬인 LEA의 암호화 및 복호화 블록의 하드웨어 구현에 관한 연구이다. 128비트, 192비트 및 256비트 크기의 모든 비밀키를 수용하고 암 복호화 기능을 통합한 구현을 목표로 하며, 성능향상을 위해 파이프라인 기법을 적용한 설계 결과를 제시한다. 복호화 기능을 실행할 때, 라운드키가 암호화 기능의 역순으로 사용되는데, 이때 발생되는 성능저하를 최소화한 효율적인 하드웨어 구현방법을 제시한다. 비밀키 크기에 따라 라운드 횟수가 24, 28 또는 32회 동작함을 고려하여, LEA 파이프라인은 매 파이프라인 단계에서 4번의 라운드 함수 연산이 수행되도록 구현하였다.

• 정보보호학회논문지
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• 제17권6호
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• pp.11-18
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• 2007

다중선형공격은 선형공격을 강화하기 위한 방법으로 연구되어왔다. 본 논문에서는 다중선형공격에 관한 최신 이론인 Biryukov의 공격 알고리즘이 비선형 키스케줄을 가진 블록암호에 적용이 어려움을 지적하고, 새로운 다중선형공격법을 제안한다. 작은 블록암호에 대한 실험을 통하여 새로운 다중선형공격법에 관한 이론이 실제로도 매우 잘 적용될 수 있음이 보여진다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.627-628
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• 2015

Construction defect which can causes economic damage such as schedule delay, cost overrun is a considerably important factor in construction industry. In general, a construction defect features a difficulty to find out causes precisely because it occurs when several interrelated causes combine. Yet, studies have tried to understand the interrelationships between factors are limited. In addition, despite of a tremendous amount of construction data, it's not still enough to analyze them, but tends to depend on experience or know-how of practitioners. Thus, it is necessary to identify underlying causes in influential factors by utilizing related data. This paper analyses Interrelationships between causal factors using Association Rule Mining to discover root causes of construction defects. Confidence and Lift that can be used for presenting the interrelationships of the causes were extracted from 1241 cases in 30 projects in Korea. It is expected that this paper allows the construction managers to discover key factors and make right decisions to reduce occurrence of construction defects. Furthermore, analysis of interrelationships can improve understanding of structural patterns of construction defects.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.335-339
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• 2011

The unique characteristics of the construction industry - such as the fragmentation of its processes, varied scope of works and diversity of its participants - are contributory factors to poor project performance. Several issues are unresolved due to the lack of a comprehensive technique to measure project outcomes including: inefficient decision making, insufficient communication, uncertain site conditions, a continuously changing environment, inharmonious working relationships, mismatched objectives within the project team and a blame culture. One approach to overcoming these problems appears to be to measure performance by gauging contractor satisfaction (Co-S) levels, but this has not been widely investigated as yet. Additionally, the key Co-S dimensions at the project level are still not fully identified. This paper concerns a study of satisfaction dimensions, primarily by a postal questionnaire survey of construction contractors registered by the Malaysian Construction Industry Development Board (CIDB). Eight satisfaction dimensions are identified that are significantly and substantially relate to these contractors - comprising: project cost performance, schedule performance, product performance, design satisfaction, site safety, project profitability, business performance and relationships between participants. -Each of these dimensions is accorded different priority levels of satisfaction by different contractors. The output of this study will be useful in raising the awareness and understanding of project teams regarding contractors' needs, mutual objectives and open communication to help to deliver a successful project.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.324-329
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• 2011

Significant decisions are made by the project team during the early planning phase of capital facility project developments. The preproject planning phase begins after a decision is made to proceed with a project concept and continues until the detail design stage. Many of the industry practitioners and researchers have recognized the importance of preproject planning and that inadequate early planning is one of the key factors affecting project success. Nevertheless, the preproject planning practices vary significantly for the construction industry in Taiwan and the quality of preproject planning relies heavily on individual project team's experience. This research sets out to benchmark the preproject planning practice for the building construction industry in Taiwan. From late 2007 to early 2010, the researchers collected information from a total of 92 building construction projects using questionnaire survey. The analysis results show that the surveyed projects with better preproject planning have better cost and schedule performances on average. It is recommended that project team spend more efforts in the preproject planning stage to have a better chance of achieving project success.

• 한국정보시스템학회지:정보시스템연구
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• 제33권2호
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• pp.125-142
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• 2024

Purpose The purpose of this study is to identify and analyze the key factors influencing congestion in the in-out transportation at port container terminals, and to design of a predictive model for in-out congestion based on these analysis. This study focused on architecting a deep learning-based predictive model. Design/methodology/approach This study was conducted through the following methodology. First, hypotheses were established and data were analyzed to examine the impact of vessel schedules and external truck schedules on in-out transportation. Next, explored time series forecasting models to a design the architecture for deep learning-based predictive model. Findings According to the empirical analysis results, this study confirmed that vessel schedules significantly affect in-out transportation. Specifically, the volume of transportation increases as the vessel arrival/departure time and the cargo cutoff time approach. Additionally, significant congestion patterns in transportation volume depending on the day of the week and the time of day were observed.

• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4465-4471
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• 2023

Hands-on education and training is a key part of fixing and developing technology knowledge and is an inherent part of many engineering and scientific curricula. However, access to large complex training facilities, such as nuclear reactor, could be limited by various factors, such as unavailability of those facilities in the region, high traveling costs or harmonization of the schedules of hands-on E&T with theoretical lectures and with the operational schedule of the facility. To handle the issue, several success stories have been reached with the introduction of the Internet Reactor Labs (IRL). The Internet Reactor Labs can strongly contribute to accessibility of training at research reactors and can contribute to improvements in their utilization. The paper describes the development of the Internet Reactor Lab at the VR-1 reactor of the Czech Technical University in Prague. Contrary to single-purpose IRLs, it presents various modalities of online teaching and training in experimental reactor physics and reactor operation in general as well as outreach activities that have been developed in recent years.