• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.496-500
• /
• 2015

International construction projects are inherently more risky than domestic projects with multi-dimensional uncertainties that require complementary risk management at both the country and project levels. However, despite a growing need for systematic country evaluations, most studies have focused on project-level decisions and lack country-based approaches for firms in the construction industry. Accordingly, this study suggests data-driven approaches for evaluating countries using two quantitative models. The first is a two-stage country segmentation model that not only screens negative countries based on country attractiveness (macro-segmentation) but also identifies promising countries based on the level of past project performance in a given country (micro-segmentation). The second is a multi-criteria country segmentation model that combines a firm's business objective with the country evaluation process based on Kraljic's matrix and fuzzy preference relations (FPR). These models utilize not only secondary data from internationally reputable institutions but also performance data on Korean firms from 1990 to 2014 to evaluate 29 countries. The proposed approaches enable firms to enhance their decision-making capacity for evaluating and selecting countries at the early stage of corporate strategy development.

• 한국항만학회지
• /
• 제11권1호
• /
• pp.85-99
• /
• 1997

선석/부두생산성 향상은 항만시스템에 밀접한 관계가 있고, 이러한 관계는 항만물류 수송 및 해운무역 전체의 영역에 까지 확대된다. 포괄적인 항만과 특정한 선석은 해상물동량을 육상측으로, 육상화물을 해상으로 환적하는 교량의 기능을 담당하고 있기 때문에 환적하는 교량의 기능을 담당하고 있기 때문에 항만개발 운영자 및 물류관련자는 화물이 원산지/선적지에서 항만/선석을 경유하여 최종목적지까지 수송되는 전체적 시스템과 관련하여 그 생산성 향상을 고려하여야 한다. 이와 관련하여 본 연구는 선석/부두생산성의 향상에 목적을 두고, 먼저 거시적 접근과 미시적 접근을 시도하였다. 그러나, 문헌조사에 따른 지금까지의 관련논문들은 미시적접근이 아니면 거시적접근으로 전체를 조명해 보기에는 한계가 있었다. 연구의 방법과 범위는 부두 생산성 향상을 위해서 직접/간접적으로 관련이 있는 항만개발기획과 운영 및 항만물류 수송에 연계된 미시.거시적 접근과 양자통합의 종합적 접근이다. 실제적으로, 항만은 그 자체의 활동만으로도 복잡하고 역동적이어서, 항만 기획단계에서부터 총체적 접근으로, 병목구간과 같은 애로의 문제점들을 효과적으로 해결함으로서, 궁극적으로는 국가경제에 이바지 할 수 있는 안목의 종합적 접근이 필요하다. 결론적으로, 그 최종목적달성의 근간이 될 부두 생산성에 대한 거시 또는 미시적 접근의 단편적인 안목을 탈피하여 양자를 통합한 전체적 관점에서 필요한 연구문제의 제기와 그 해결의 실마리를 제안 했다는 중요성은 지대하다고 하겠다. 본 연구의 한계는 개념적 접근으로 향후 이 논문을 바탕으로한 보강차원의 실증적 연구가 더 필요하다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 추계학술대회 논문집
• /
• pp.1731-1737
• /
• 2007

차량운용문제 혹은 열차반복문제는 수송계획, 열차운행계획에서 작성된 열차운행시각에 기초하여 편성유형 또는 차종에 따라 주어진 제약조건(선회조건, 검수조건, 기지복귀조건 등)을 반영하여 최적의 차량운용 다이아, 운용순서를 구성하는 문제이다. 일반적으로 이 문제는 집합분할(Set Partition)문제로 모델링하여 열생성(Column Generation) 기법을 사용하여 제약조건에 맞는 운용을 생성하였다. 하지만, 본 연구에서는 지하철과 같이 열차운행의 빈도는 높고 물리적 네트웍은 간단하며 시종착역의 수가 적을 경우 많은 대안 경로(Alternative Routing)들이 생성되는 특징 및 일반 철도와는 다른 역에서의 공간적 제약에 따른 차량 선회 제약을 고려하여 차량운용수를 최소화할 수 있는 지하철 차량운용 문제에 대한 수학적인 모델을 제시하고자 한다. 먼저, 차량선회제약만을 고려하여 최소비용 흐름 모형으로 네트워크 모형을 구성하였다. 최소비용 흐름 모형을 결과로 생성된 운용을 바탕으로 각 운용의 운행거리를 정규화(Normalize)하는 휴리스틱 기법을 제안하였다. 또한, 이 방법론을 실제와 유사한 지하철 열차 스케줄에 적용하였고 약 14%의 차량소요 감소 및 최대 영업거리 약 11%, 표준영업거리편차 약 5% 감소를 통하여 본 연구결과의 유용성을 확인하였다.

• International Journal of Contents
• /
• 제16권2호
• /
• pp.8-18
• /
• 2020

Data is critical in deep learning but the scarcity of data often occurs in research, especially in the preparation of the paired training data. In this paper, document image binarization with unpaired data is studied by introducing adversarial learning, excluding the need for supervised or labeled datasets. However, the simple extension of the previous unpaired training to binarization inevitably leads to poor performance compared to paired data training. Thus, a new deep learning approach is proposed by introducing a multi-diversity of higher quality generated images. In this paper, a two-stage model is proposed that comprises the generative adversarial network (GAN) followed by the U-net network. In the first stage, the GAN uses the unpaired image data to create paired image data. With the second stage, the generated paired image data are passed through the U-net network for binarization. Thus, the trained U-net becomes the binarization model during the testing. The proposed model has been evaluated over the publicly available DIBCO dataset and it outperforms other techniques on unpaired training data. The paper shows the potential of using unpaired data for binarization, for the first time in the literature, which can be further improved to replace paired data training for binarization in the future.

• 환경영향평가
• /
• 제2권2호
• /
• pp.111-116
• /
• 1993

The EIA system was developed during ten odd years of introduction. On the other hand, the contentional development representing systematical fidelity does not match to it. I surveyed the problems of EIA on the point of environmental items with no legal standards. EIA is being executed only once on the planning stage. If the present EIA system has two times of execution, the quality of EIA will be much better. First, on the stage of deciding location of the project, EIA should be done. And next, detailed EIA should be done on the stage of executing the project. To describe the problems of EIA, I surveyed the legislations on the point of the former stages, investigation of present status and anticipation. And I tried a theoretical approach to EIA. The knowledge of things, the subject's standpoint and his valuation are all put together in the EIA. The knowledge of relationship between air and water pollutants and their impact on human is accumulated much. On the other hand, the knowledge of the compounded item, fauna-flora(natural ecology) is partial and causes many difficulties. I pointed out the absurdities of assessment technique dealing the standards and introduced assessment technique being applied to items with no physico-chemical standards such as wild lives.

• Journal of applied mathematics & informatics
• /
• 제26권5_6호
• /
• pp.1149-1159
• /
• 2008

Blind source extraction (BSE) is a special class of blind source separation (BSS) methods, which only extracts one or a subset of the sources at a time. Based on the time delay of the desired signal, a simple but important extraction algorithm (simplified " BC algorithm")was presented by Barros and Cichocki. However, the performance of this method is not satisfying in some cases for which it only carries out the constrained minimization of the mean squared error. To overcome these drawbacks, ICA with reference (ICA-R) based approach, which considers the higher-order statistics of sources, is added as the second stage for further source extraction. Specifically, BC algorithm is exploited to roughly extract the desired signal. Then the extracted signal in the first stage, as the reference signal of ICA-R method, is further used to extract the desired sources as cleanly as possible. Simulations on synthetic data and real-world data show its validity and usefulness.

• 한국초등과학교육학회지:초등과학교육
• /
• 제32권2호
• /
• pp.139-158
• /
• 2013

This study investigated elementary students' (grade 4~6) learning progressions for water cycling drawn from iterative assessments using ordered multiple-choice (OMC) items. An assessment system, which consisted of construct map, item design, outcome space, and measurement model, was employed in this study to examine children's learning progressions. At the first stage of the assessment system, a construct map was designed on which children's conceptual understandings from naive to most sophisticated were represented. At the item design stage, 8 OMC items were drawn from the construct map. Each item option of the OMC items was scored from 0 to 3 according to its level of understanding at the stage of outcome space. As a measurement model, Rasch model, a branch of item response theory, was applied to interpreting the outcomes of the OMC items. This cycle of assessment system was furtherly implemented iteratively in order to elaborate on the first version of water cycling learning progression. In conclusion, children's understanding of water cycling could be described in two aspects: water distribution and water movement. We identified children's conjectural developmental pathways about water cycling existed from superficial and naive accounts to more complex and abstract accounts.

• Computers and Concrete
• /
• 제24권4호
• /
• pp.313-327
• /
• 2019

The purpose of the present study is to present a new approach to designing and selecting the details of multidimensional continuous RC beam by applying all strength, serviceability, ductility and other constraints based on ACI318-14 using Teaching Learning Based Optimization (TLBO) algorithm. The optimum reinforcement detailing of longitudinal bars is done in two steps. in the first stage, only the dimensions of the beam in each span are considered as the variables of the optimization algorithm. in the second stage, the optimal design of the longitudinal bars of the beam is made according to the first step inputs. In the optimum shear reinforcement, using gradient-based methods, the most optimal possible mode is selected based on the existing assumptions. The objective function in this study is a cost function that includes the cost of concrete, formwork and reinforcing steel bars. The steel used in the objective function is the sum of longitudinal and shear bars. The use of a catalog list consisting of all existing patterns of longitudinal bars based on the minimum rules of the regulation in the second stage, leads to a sharp reduction in the volume of calculations and the achievement of the best solution. Three example with varying degrees of complexity, have been selected in order to investigate the optimal design of the longitudinal and shear reinforcement of continuous beam.

• ETRI Journal
• /
• 제43권5호
• /
• pp.941-949
• /
• 2021

In this study, a spatial spectrum method is proposed to cope with the pilot spoofing attack (PSA) problem by exploiting the of uplink-downlink channel reciprocity in time-division-duplex multiple-input multiple-output systems. First, the spoofing attack in the uplink stage is detected by a threshold derived from the predefined false alarm based on the estimated spatial spectrum. When the PSA occurs, the transmitter (That is Alice) can detect either one or two spatial spectrum peaks. Then, the legitimate user (That is Bob) and Eve are recognized in the downlink stage via the channel reciprocity property based on the difference between the spatial spectra if PSA occurs. This way, the presence of Eve and the direction of arrival of Eve and Bob can be identified at the transmitter end. Because noise is suppressed by a spatial spectrum, the detection performance is reliable even for low signal-noise ratios and a short training length. Consequently, Bob can use beamforming to transmit secure information during the data transmission stage. Theoretical analysis and numerical simulations are performed to evaluate the performance of the proposed scheme compared with conventional methods.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권7호
• /
• pp.79-90
• /
• 2021

The purpose of this research is to identify factors affecting the acceptance and use of e-tax services among medium taxpayers in Phnom Penh, Cambodia. The researcher conducted the study based on a quantitative approach by using multi-stage sampling method, which selects a sample size by two or more stages. The first stage sampling was the stratified random sampling and the subsequent stage was purposive sampling. In this study, the stratified random sampling was first used, followed by purposive sampling. The data were collected from 450 medium taxpayers who experienced using e-tax services located in three tax branches in Phnom Penh. This study adapted the confirmatory factor analysis (CFA) and structural equation model (SEM) to analyze the model accuracy, reliability and influence of various variables. The primary result showed that behavioral intention has a significant effect on user behavior of e-tax services among medium taxpayers in Phnom Penh, Cambodia. Moreover, the results revealed that performance expectancy, effort expectancy, social influence, and anxiety have significant impact on behavioral intention. In addition, social influence has the strongest impact on behavioral intention, followed by anxiety, performance expectancy and effort expectancy. Conversely, facilitating conditions, trust in government, and trust in internet do not influence behavioral intention.