• 산업경영시스템학회지
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• 제41권4호
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• pp.238-247
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• 2018

This paper considers the problem of scheduling loading and unloading operations of a crane in a railway terminal motivated from rail-road container transshipment operations at Uiwang Inland Container Depot (ICD). Unlike previous studies only considering the total handling time of containers, this paper considers a bi-criteria objective of minimizing the weighted sum of the total handling time and tenant service time. The tenant service time is an important criterion in terms of terminal tenants who are private logistics companies in charge of moving containers from/to the terminal using their trucks. In the rail-road container shipment yard, the tenant service time of a tenant can be defined by a time difference between beginning and finishing loading and unloading operations of a crane. Thus, finding a set of sequences and time of the crane operations becomes a crucial decision issue in the problem. The problem is formulated as a nonlinear program which is improved by linearizing a nonlinear constraint in the model. This paper develops a genetic algorithm to solve the problem and performs a case study on the Uiwang ICD terminal. Computational experiment results show that the genetic algorithm shows better performance than commercial optimization solvers. Operational implications in terms of tenants are drawn through sensitivity analyses.

• 한국항공우주학회지
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• 제47권1호
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• pp.17-25
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• 2019

항공기의 Intake는 공간적 제약 또는 생존성 확보의 이유로 S형태의 곡률을 갖는 덕트를 가진다. 그러나 덕트의 곡률은 2차유동과 유동박리의 발생을 야기하며 불균일한 압력분포 생성의 원인이 된다. 본 연구에서는 RAE M 2129 S-Duct의 형상에 보조 Duct를 적용하여 경계층 흡입을 수행하였다. 경계층 흡입의 위치와 각도를 설계변수로 설정하였으며, 흡입면에서 동일 유량을 흡입하는 조건을 부여하였다. S-Duct의 전산해석 타당성을 검증하기 위하여 Port Side와 Starboard Side의 무차원 압력 분포를 ARA 실험값, 전산해석 값과 각각 비교하여 확인하였다. 본 연구에서는 유동 왜곡을 판단하는 공기역학적 성능인자로 유동 왜곡 계수를 사용 하였으며, 경계층 흡입에 의한 유동박리, 와류, 유량 분포 및 압력 분포를 비교 분석 하였다. 그 결과 경계층 흡입 적용 이전과 비교하여 최대 26.14%의 유동 왜곡 계수 저감 효과를 확인하였다.

• Computers and Concrete
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• 제23권1호
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• pp.1-10
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• 2019

The use of non-linear analysis of structures in a functional way for evaluating the structural seismic behavior has attracted the attention of the engineering community in recent years. The most commonly used functional method for analysis is a non-linear static method known as the "pushover method". In this study, for the first time, a cyclic pushover analysis with different loading protocols was used for seismic investigation of curved bridges. The finite element model of 8-span curved bridges in plan created by the ZEUS-NL software was used for evaluating different pushover methods. In order to identify the optimal loading protocol for use in astatic non-linear cyclic analysis of curved bridges, four loading protocols (suggested by valid references) were used. Along with cyclic analysis, conventional analysis as well as adaptive pushover analysis, with proven capabilities in seismic evaluation of buildings and bridges, have been studied. The non-linear incremental dynamic analysis (IDA) method has been used to examine and compare the results of pushover analyses. To conduct IDA, the time history of 20 far-field earthquake records was used and the 50% fractile values of the demand given the ground motion intensity were computed. After analysis, the base shear vs displacement at the top of the piers were drawn. Obtained graphs represented the ability of a cyclic pushover analysis to estimate seismic capacity of the concrete piers of curved bridges. Based on results, the cyclic pushover method with ISO loading protocol provided better results for evaluating the seismic investigation of concrete piers of curved bridges in plan.

• 산업융합연구
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• 제16권4호
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• pp.33-46
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• 2018

개인신용평가는 은행이 대출을 승인할 때 수익성 있는 의사결정을 적절히 유도할 수 있는 효과적인 도구이다. 최근 많은 분류 알고리즘 및 모델이 개인신용평가에 사용되고 있다. 개인신용평가 기법은 대체로 통계적 방법과 비 통계적 방법으로 구분된다. 통계적 방법에는 선형회귀분석, 판별분석, 로지스틱 회귀분석, 의사결정나무 등이 포함된다. 비 통계적 방법에는 선형계획법, 신경망, 유전자 알고리즘 및 Support Vector Machines 등이 포함된다. 그러나 신용평가모형 개발을 위해 어떠한 방법이 최선인지에 관해서는 일관된 결론을 내리기는 어렵다. 본 논문에서는 중국 금융기관의 개인 신용 데이터를 사용하여 가장 대표적인 신용평가 기법인 로지스틱 회귀분석, 신경망 그리고 Support Vector Machines의 성능을 비교하고자 한다. 구체적으로, 세 가지 모형을 각각 구축하여 고객을 분류하고 분석 결과를 비교하였다. 분석결과에 따르면, Support Vector Machines이 로지스틱 회귀분석과 신경망보다 더 나은 성능을 가지는 것으로 나타났다.

• Safety and Health at Work
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• 제9권4호
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• pp.454-461
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• 2018

Background: Working conditions and psychosocial work factors have acquired an important role explaining the well-being and performance of professional drivers, including those working in the field of public transport. This study aimed to examine the association between job strain and the operational performance of public transport drivers and to compare the expositions with psychosocial risk at work of three different types of transport workers: taxi drivers, city bus drivers, and interurban bus drivers. Method: A sample of 780 professional drivers was drawn from three transport companies in Bogota (Colombia). The participants answered the Job Content Questionnaire and a set of sociodemographic and driving performance questions, including age, professional driving experience, work schedules, and accidents and penalties suffered in the last 2 years. Results: Analyses showed significant associations between measures of socio-labor variables and key performance indicators such road traffic accidents and penalties. Furthermore, multiple linear regression analysis contributed to explain significantly suffered accidents from key variables of the Job Demand-Control model, essentially from job strain. In addition, throughout post-hoc analyses, significant differences were found in terms of perceived social support, job strain, and job insecurity. Conclusion: Work stress is an issue that compromises the safety of professional drivers. This research provides evidence supporting a significant effect of job strain on the professional driver's performance. Moreover, the statistically significant differences between taxi drivers, city bus drivers, and interurban bus drivers in their expositions to work-related stress suggest the need for tailored occupational safety interventions on each occupational group.

• 국제초고층학회논문집
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• 제8권2호
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• pp.107-116
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• 2019

The use of computational fluid dynamics (CFD) is becoming an increasingly popular means to model wind flows in and around buildings. The first published application of CFD to both indoor and outdoor building airflows was in the 1970's. Since then, CFD usage has expanded to include different aspects of building design. Wind tunnel testing (WTT) on buildings for wind loads goes back as far as 1908. Gustave Eiffel built a pair of wind tunnels in 1908 and 1912. Using these he published wind loads on an aircraft hangar in 1919 as cited in Hoerner (1965 - page 74). The second of these wind tunnels is still in use today for tests including building design ($Damljanovi{\acute{c}}$, 2012). The Empire State Building was tested in 1933 in smooth flow - see Baskaran (1993). The World Trade Center Twin Towers in New York City were wind tunnel tested in the mid-sixties for both wind loads, at Colorado State University (CSU) and the [US] National Physical Laboratory (NPL), as well as pedestrian level winds (PLW) at the University of Western Ontario (UWO) - Baskaran (1993). Since then, the understanding of the planetary boundary layer, recognition of the structures of turbulent wakes, instrumentation, methodologies and analysis have been continuously refined. There is a drive to replace WTT with computational methods, with the rationale that CFD is quicker, less expensive and gives more information and control to the architects. However, there is little information available to building owners and architects on the limitations of CFD for flows around buildings and communities. Hence building owners, developers, engineers and architects are not aware of the risks they incur by using CFD for different studies, traditionally conducted using wind tunnels. This paper will explain what needs to happen for CFD to replace wind tunnels. Ultimately, we anticipate the reader will come to the same conclusion that we have drawn: both WTT and CFD will continue to play important roles in building and infrastructure design. The most pressing challenge for the design and engineering community is to understand the strengths and limitations of each tool so that they can leverage and exploit the benefits that each offers while adhering to our moral and professional obligation to hold paramount the safety, health, and welfare of the public.

• Journal of Ginseng Research
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• 제43권2호
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• pp.179-185
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• 2019

Background: Oxidative stress induces the production of reactive oxygen species (ROS), which play important causative roles in various pathological conditions. Black ginseng (BG), a type of steam-processed ginseng, has drawn significant attention due to its biological activity, and is more potent than white ginseng (WG) or red ginseng (RG). Methods: We evaluated the protective effects of BG extract (BGE) against oxidative stress-induced cellular damage, in comparison with WG extract (WGE) and RG extract (RGE) in a cell culture model. Ethanolic extracts of WG, RG, and BG were used to evaluate ginsenoside profiles, total polyphenols, flavonoid contents, and antioxidant activity. Using AML-12 cells treated with $H_2O_2$, the protective effects of WGE, RGE, and BGE on cellular redox status, DNA, protein, lipid damage, and apoptosis levels were investigated. Results: BGE exhibited significantly enhanced antioxidant potential, as well as total flavonoid and polyphenol contents. ATP levels were significantly higher in BGE-treated cells than in control; ROS generation and glutathione disulfide levels were lower but glutathione (GSH) and NADPH levels were higher in BGE-treated cells than in other groups. Pretreatment with BGE inhibited apoptosis and therefore protected cells from oxidative stress-induced cellular damage, probably through ROS scavenging. Conclusion: Collectively, our results demonstrate that BGE protects AML-12 cells from oxidative stress-induced cellular damages more effectively than WGE or RGE, through ROS scavenging, maintenance of redox status, and activation of the antioxidant defense system.

• 대한조선학회논문집
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• 제58권2호
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• pp.58-65
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• 2021

In order to study the self-propulsion test and analysis techniques for the submerged body in Large Cavitation Tunnel (LCT). DARPA Suboff, a submarine model publicly available was manufactured. The resistance results of DARPA Suboff was acquired from the LCT tests and compared with those of DTRC. After the wall blockage correction, the resistance results of LCT were in good agreement with those of DTRC. On the basis of the resistance results of LCT, the self-propulsion tests were conducted in LCT. The test objective was to get the full-scale propeller operating conditions for the propeller cavitation and noise tests. The test results of DARPA Suboff were analyzed in a way similar to the analysis techniques of those of the Towing Tank (TT). Another submerged body, for which self-propulsion tests were conducted in TT, was selected for results verification. The results of LCT were in good agreement with those of TT. On the basis of the present study, it is thought that the operating conditions for the full-scale submerged body can be drawn through LCT tests.

• Imaging Science in Dentistry
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• 제50권4호
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• pp.323-330
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• 2020

Purpose: The mastoid region is ideal for studying sexual dimorphism due to its anatomical position at the base of the skull. This study aimed to determine sex in the Iranian population based on measurements of the mastoid process using different data mining algorithms. Materials and Methods: This retrospective study was conducted on 190 3-dimensional cone-beam computed tomographic (CBCT) images of 105 women and 85 men between the ages of 18 and 70 years. On each CBCT scan, the following 9 landmarks were measured: the distance between the porion and the mastoidale; the mastoid length, height, and width; the distance between the mastoidale and the mastoid incision; the intermastoid distance (IMD); the distance between the lowest point of the mastoid triangle and the most prominent convex surface of the mastoid (MF); the distance between the most prominent convex mastoid point (IMSLD); and the intersecting angle drawn from the most prominent right and left mastoid point (MMCA). Several predictive models were constructed and their accuracy was compared using cross-validation. Results: The results of the t-test revealed a statistically significant difference between the sexes in all variables except MF and MMCA. The random forest model, with an accuracy of 97.0%, had the best performance in predicting sex. The IMSLD and IMD made the largest contributions to predicting sex, while the MMCA variable had the least significant role. Conclusion: These results show the possibility of developing an accurate tool using data mining algorithms for sex determination in the forensic framework.

• 산업노동연구
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• 제23권2호
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• pp.141-167
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• 2017

본 연구는 작업장혁신 프로그램들의 고용효과에 관한 실증분석이다. 본 연구의 이론 모형과 가설은 혁신 일반의 고용효과에 관한 기존의 연구결과들을 발전시켜서 개발하였다. 사용 자료는 노사발전재단의 "일터혁신지수" 2013-14년 자료이다. 사용 자료는 횡단면 자료이고 통계모형은 OLS 모형이다. 본 회귀모형의 종속변수는 고용증가율이고 주된 독립변수는 작업장혁신 지수이다. 작업장혁신 지수는 TQM/6시그마, 제안제도, 다기능훈련 등을 합성하여 작성하였는데, 그 관행들의 도입 여부와 활용 정도(표준화값) 등 2 가지로 된 측정치들로 구성하였다. 분석 결과 작업장혁신 프로그램들의 도입 여부는 고용증가율에 통계적으로 유의한 영향을 미치지 못하고, 작업장혁신 프로그램들의 활용 정도는 고용증가율에 약하게 통계적으로 유의한 양(+)의 영향을 미치고 있었다. 이상의 분석 결과들은 작업장혁신의 도입이 고용에 통계적으로 유의한 영향을 미치지 못하고 있음을 말해주고 있는데, 그것의 활용도를 높일 경우에는 약한 수준에서나 고용에 긍정적인 영향을 미칠 가능성이 있음을 시사하고 있다. 그 밖에 정부 지원의 조직혁신 컨설팅을 받은 사업체(+), 임금수준(-), 1인당 훈련시간(+), 전년도 근로자수(-) 등이 고용증가율에 통계적으로 유의한 영향을 미치고 있다. 마지막으로 본 연구의 실증결과들을 요약하고, 연구의 한계와 향후 연구의 방향을 논의하였다.