• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.90-98
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• 2016

High-rise buildings construction project have various risk factors. Major risk factors are negative results such as time delay and increase of costs. Therefore, this study was analyzed risk factors in construction stages of high-rise buildings using by PROMETHEE technique. For this, this research were identified risk factors through experts Focus Group Interview(FGI). And, PROMETHEE was used to setup evaluation standard for analysis of high-rise building construction risks. Next, the standard of evaluation index calculation was composed by using the definition level in PDRI. Preference function and evaluation index were identified through questionnaires. Through these processes, this study has calculated the importance of high-rise building construction risks using by PROMETHEE technique. As a result, high degree risk factors were as following. These are 'Operation plan of material lifting', 'Outrigger & Belt Truss Construction', 'Foundation work plan of high-rise building' and 'Considering a Structure concept of high-rise building'.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.335-340
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• 2014

Crowd Sourcing-based Social App Manufacturing environment, a small app development project by a team of anonymous virtual performed without the constraints of time and space, and manage it for the app development process need to be automated method. Virtual teams with anonymity is a feature of the Social App Manufacturing, is an important factor that increases the uncertainty of whether the completion of the project or reduction in visibility of the progress of the project. In this study, as one of how to manage the project of Social App Manufacturing environment, the impact of risk that can be used to quantitatively measure the impact of the risk of delay in development has on the project also proposes a measurement model. Effects of risk and type of the impact of risks associated with delays in the work schedule also define the characteristic function, measurement model that has been proposed, suggest the degree of influence measurement equation of risk of the project in accordance with the progressive. The advantage of this model, the project manager is able to ensure the visibility of the progress of the project. In addition, identify the project risk of work delays, and to take precautions.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.12-20
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• 2021

Unsafe working environments slow down working speed in that it takes a lot of time to respond in case of an accident, greatly reducing the productivity of construction work. Therefore, proper safety management that does not impede the productivity of construction works is a very important factor for successful construction project. However especially in mega project, the mutual effects of safety management and productivity are complex. Therefore, this study establishes a causal model between safety management and productivity influencing factors based on effectiveness metrics, and analyzes the effect of increased site congestion due to excessive personnel input, irregular safety measures and inefficient change of work schedules. The result of this study, is expected to contribute to enhancing the competitiveness of the construction industry as the basis for establishing a safety management plan that can secure appropriate productivity.

• Information Systems Review
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• v.12 no.2
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• pp.105-119
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• 2010

SOA has become the focus of attention as it is perceived as a concept toward integrative service which helps companies respond quickly to the changes in market needs. This study is aimed to find out success factors for building SOA. We carried out two case studies on companies that adopted SOA successfully in Korea and conducted a survey to collect opinions from experts and experienced managers whose job is related to SOA. The critical successful factors found in this study include: 1) establishment of the SOA taskforce based on CIO's strong support, 2) formation of the corporate-wide consensus and the adoption of standards, 3) active user participation in defining services and obliterating duplication, 4) accomplishment of flexibility in services and business agility based on integrated infrastructure, and 5) securing project budget and consistent support by way of using measurement index for SOA investment effects.

• Journal of Korean Society of Transportation
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• v.33 no.2
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• pp.214-222
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• 2015

Jeju International Airport has become the most delayed airport in Korea, due to increased demand in air passengers and unexpected local weather condition. Observing the demands continuously grow for a decade, the airport is expected to be saturated in the near future. As a part of effort to prepare effective and timely measure for this expected situation, airport planners seeks the annual runway capacity, i.e., the appropriate number of flight operations in a given year with tolerable delay. In practice, the FAA formula is frequently adopted for the capacity estimation. The method, however, has intrinsic issues: 1) the hourly capacity imbedded in the formula is not clearly defined and thus the estimated value is vulnerable to be subjective judgement, and 2) the formula doesn't consider aircraft delay resulted from runway congestion. In this paper, we explain a novel method for estimating the daily runway capacity and then converting to the annual capacity taking into account the aircraft delay. In this paper, average delay of aircraft was measured using microscopic air traffic simulation model. Daily capacity of the runways were analyzed based on the simulation outputs and the method to assess the yearly capacity is introduced. Using a microscopic simulation model named TAAM, we measure the average aircraft delay at various levels of flight demand, and then estimate the practical daily runway capacity. The estimated daily and annual runway capacities of Jeju airport are about 460 operations a day which is equal to 169,000 operations year. The paper discusses how to verify the simulation model, and also suggests potential enhancement of the method.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.245-251
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• 2019

Sonar bearing accuracy is the correspondence between the target orientation predicted by sonar and actual target orientation, and is obtained from measurements. However, when measuring sonar bearing accuracy, many errors are included in the results because they are made at sea, where complex and diverse environmental factors are applied. In particular, parallax error caused by the difference between the position of the GPS receiver and the sonar sensor, and the time delay error generated between the speed of underwater sound waves and the speed of electromagnetic waves in the air have a great influence on the accuracy. Correcting these parallax errors and time delay errors without an automated tool is a laborious task. Therefore, in this study, we propose a sonar bearing accuracy measurement equipment with parallax error and time delay error correction. The tests were carried out through simulation data and real data. As a result of the test it was confirmed that the parallax error and time delay error were systematically corrected so that 51.7% for simulation data and more than 18.5% for real data. The proposed method is expected to improve the efficiency and accuracy of sonar system detection performance verification in the future.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.575-582
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• 2000

Because FIFO thread scheduling used in the existing multithreaded models does not consider locality in programs, it may result in the decrease of the performance of execution, caused by the frequent context switching overhead and delay of execution of relatively short frames. Quantum unit scheduling enhances the performance a little, but it still has the problems such as the decrease in the processor utilization and the longer delay due to its heavy dependency on the priority of the quantum units. In this paper, we propose shortest-frame-first(SFF) thread scheduling algorithm. Our algorithm selects and schedules the frame that is expected to take the shortest execution time using thread size and synchronization information analyzed at compile-time. We can estimate the relative execution time of each frame at compile-time. Using SFF thread scheduling algorithm on the multithreaded models, we can expect the faster execution, better utilization of the processor, increased throughput and short waiting time compared to FIFO scheduling.

• KDI Journal of Economic Policy
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• v.22 no.1_2
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• pp.285-362
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• 2000

남북 정상회담 이후 남북경협 활성화에 대한 기대가 높아지면서 기업의 대북진출에 대한 관심도 크게 증가하고 있다. 우리 기업들이 대북투자에 대하여 커다란 관심을 가지는 이유로는 시장선점, 북한의 낮은 임금 이용, 국내의 유휴설비 이용 등 여러 가지가 있으나 그중 가장 직접적인 요인은 북한의 낮은 임금을 이용하고자 하는 것이라 할 수 있다. 그러나 대북투자의 주요 목적이 북한의 저임 노동력의 활용에 있음에도 불구하고 북한의 임금수준이 얼마나 낮은 것이며, 노동력의 수준은 어떠한지, 또한 이런 상황에서 대북진출시 북한 노동력을 어떻게 활용해야 할 것인지에 대해서는 충분한 검토가 이루어져 있지 않다. 따라서 본 연구에서는 북한 노동력의 임금 및 질적 수준을 분석하고 구체적인 사례에 대하여 살펴본 후 대북진출시 노동력 활용방안에 대하여 검토한다. 우선 북한의 임금수준은 이론적 측면, 동남아 국가 등 경재국과의 비교, 기업의 견해 등을 통해서 살펴볼 때 저렴한 것으로 보기는 어렵다. 질적 수준의 경우에도 일반적으로는 북한 노동력은 우수한 것이라고 인식되고 있으나, 교육수준, 작업규율, 노동생산성 등의 측면에서 분석한 결과 우수한 것으로 판단하기는 곤란하다. 실제 사례에 있어서도 많은 문제를 보이고 있는바, 북한 정책의 문제점, 계약 및 규정에 문제점, 기능 및 교육훈련의 문제점, 근로관습 및 의식의 문제점 등으로 나누어 볼 수 있다. 이러한 상황에서 대북진출은 기대한 만큼의 수익을 거두기가 힘들 것으로 예상된다. 그러나 현재 여건이 어렵다고 무작정 대북진출을 지연할 수도 없고, 기업의 입장에서는 선점 등의 목적으로 현 단계에서 투자를 실행하려고 할 수도 있을 것이다. 또한 일부 분야의 경우에는 이익의 창출이 가능한 사업도 있을 것이다. 본 연구에서는 대북진출에 대비해서 효율적인 북한 노동력 활용방안을 질적 수준 향상방안과 임금관리 방안으로 나누어 살펴보고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.423-426
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• 2008

한국증권선물거래소의 유가증권 매매체결시스템은 안정적이고 신속한 데이터 처리에 초점을 둔 시스템이다. 인터넷과 HTS(Home Trading System)의 대중화로 인해 대량의 데이터로부터 적시에 정보를 추출하고 분석하고자 하는 요구가 증가하고 있다. 그러나 현재의 통계정보시스템은 이와 같은 요구를 수용하기 어려우며 개발자의 별도 노력이 요구된다. 또한 목표성능에 대한 요구가 매우 높아짐에 따라 시스템 및 어플리케이션의 증설과 개선작업이 빈번하지만 그 효과를 예측하기 어려우며 정량화 된 근거자료의 부재로 의사결정을 지연시킨다. 따라서 이와 같은 요구사항들을 해결하기 위해 기존의 통계정보시스템을 활용하고 추가적인 데이터들을 다양한 차원에서 분석 가능하도록 웨어하우스 데이터베이스를 구축하며 성능예측을 위한 요소들을 추출하고 데이터마이닝을 수행하여 의사결정에 도움을 줄 수 있는 다차원 모델링 기반의 거래분석 시스템을 제안한다. 거래분석 시스템의 구축으로 사용자는 웹상에서 적시에 다차원 분석보고서를 생성할 수 있다. 또한 관리자는 외부적 환경변화에 따른 향후 시스템 성능 감소를 예측할 수 있으며 내부적 요인을 제어하여 이를 상쇄할 수 있는 방안을 찾을 수 있게 된다.

• The Journal of the Korea Contents Association
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• v.6 no.6
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• pp.1-8
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• 2006

This paper presents an intelligent pattern matching method that can be used to acquire the reliable calibration data for automatic PCB pattern inspection. The inaccurate calibration data is often acquired by geometric pattern variations and selecting an inappropriate model manual. It makes low the confidence of inspection and also the inspection processing time has been delayed. In this paper, the geometric features of PCB patterns are utilized to calculate the accurate calibration data. An appropriate model is selected automatically based on the geometric features, and then the calibration data to be invariant to the geometric variations(translation, rotation, scaling) is calculated. The method can save the inspection time unnecessary by eliminating the need for manual model selection. As the result, it makes a fast, accurate and reliable inspection of PCB patterns.