• 예술인문사회 융합 멀티미디어 논문지
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• 제8권7호
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• pp.475-484
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• 2018

전기철도차량의 추진제어장치는 자동차의 엔진에 해당되는 핵심 주요부품이며 이를 제어하는 장치는 GDU(Gate Drive Unit)라는 장치를 이용한다. 또한, 추진제어장치의 고장 빈도를 파악해보면 GDU에 대한 부적합 비율이 가장 높았다. GDU는 외국산 도입으로 인하여 핵심기술의 접근이 불가하였고, 제작사의 GDU 단종으로 전반적인 유지보수 활동에 전반적인 문제점이 있었다. GDU는 최장 23년부터 최근 14년의 장기간 사용으로 수명이 도래하였다. 본 연구는 이러한 문제점을 해결하고자 호환이 가능한 GDU의 확보와 고장을 분석하여 적정수명을 파악하기 위한 것으로, 기존의 상태검사 위주의 유지보수 방법 개선을 위해 설계를 변경하여 추진제어장치의 GDU를 커패시터 교환 형으로 개발하였다. 전체수명에 비해 비교적 수명이 짧은 구성부품의 유지보수는 필수이며, 대부분의 건설초기의 최초 외산도입 부품은 기술종속 및 장기운영의 결과로 관련 부품의 단종이 발생하면 고장발생 시 수급불가 등으로 기본적인 교환에 대한 유지보수에 문제점이 발생되고 있으나, 25년 이상으로 전체수명이 긴 철도차량의 특성상 앞으로도 상당기간 운영이 필요하여 개조 혹은 대체품 개발로 부품확보 및 일정수준의 품질을 유지할 필요가 강조되며, 이에 대한 연구는 보다 구체적이고 실증적으로 이루어져야 한다. 커패시터 교환 형 GDU는 커패시터 모듈의 분리를 통해 정전용량을 쉽게 측정하여 수명을 판단하고, 단품 시험과 커패시터의 수명을 측정하여 정확한 예방유지보수를 할 수 있어서 운행 중 열차의 부적합을 미리 예방할 수 있으며, 24개월 이상의 영업 운전을 통하여 한건의 부적합 없이 영업운행에 성공하여 기존품의 대체 가능여부를 검증하였다.

• Smart Structures and Systems
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• 제15권2호
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• pp.469-488
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• 2015

Thermal loads, especially thermal gradients, have a considerable effect on the behaviors of large-scale bridges throughout their lifecycles. Bridge design specifications provide minimal guidance regarding thermal gradients for simple bridge girders and do not consider transversal thermal gradients in wide girder cross-sections. This paper investigates the three-dimensional thermal gradients of arch bridge girders by integrating long-term field monitoring data recorded by a structural health monitoring system, with emphasis on the vertical and transversal thermal gradients of wide concrete-steel composite girders. Based on field monitoring data for one year, the time-dependent characteristics of temperature and three-dimensional thermal gradients in girder cross-sections are explored. A statistical analysis of thermal gradients is conducted, and the probability density functions of transversal and vertical thermal gradients are estimated. The extreme thermal gradients are predicted with a specific return period by employing an extreme value analysis, and the profiles of the vertical thermal gradient are established for bridge design. The transversal and vertical thermal gradients are developed to help engineers understand the thermal behaviors of concrete-steel composite girders during their service periods.

• Animal Bioscience
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• 제37권2호
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• pp.203-209
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• 2024

Objective: This study aimed to assess the impact of the dilution ratio of Tris diluent, storage at 0℃, and long-distance transportation on the spermatozoa of Simmental cattle. It also validated the feasibility of the regional distribution of fresh semen. Methods: In experiment 1, semen was diluted at four dilution ratios (1:6, 1:9, 1:12, and 1:15) to determine the optimal dilution ratio of Tris diluent. In experiment 2, we assessed sperm viability, progressive motility (objectively assessed by computer-assisted sperm analyzer), and acrosome intactness in Tris dilutions kept at constant 0℃ for 1, 3, 6, 9, and 12 days. We compared them to Tianshan livestock dilutions (Commercial diluent). In experiment 3, semen was diluted using Tris diluent, and sperm quality was measured before and after long-distance transport. Artificial insemination of 177 Simmental heifers compared to 156 using Tianshan Livestock dilution. Results: The outcomes demonstrated that 1:9 was the ideal Tris diluent dilution ratio. The sperm viability, Progressive Motility, and acrosome integrity of both Tris and Tianshan dilutions preserved at 0℃ gradually decreased over time. sperm viability was above 50% for both dilutions on d 9, with a flat rate of decline. The decrease in acrosome integrity rate was faster for Tianshan livestock dilutions than for Tris dilutions when stored at 0℃ for 1 to 6 days. There was no significant difference (p>0.05) in sperm viability between semen preserved in Tris diluent after long-distance transportation and semen preserved in resting condition. The conception rates for Tris dilution and Tianshan livestock dilution were 49.15% and 46.15% respectively, with no significant difference (p>0.05). Conclusion: This shows that Tris diluent is a good long-term protectant. It has been observed that fresh semen can be successfully preserved for long-distance transport when stored under 0℃ conditions. Additionally, it is feasible to distribute semen regionally.

• International Journal of Concrete Structures and Materials
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• 제2권2호
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• pp.91-98
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• 2008

Curved bridges are important components of a highway transportation network for connecting local roads and highways, but very few data have been collected in terms of their field performance. This paper presents two-years monitoring and system identification results of a curved concrete box-girder bridge, the West St. On-Ramp, under ambient traffic excitations. The authors permanently installed accelerometers on the bridge from the beginning of the bridge life. From the ambient vibration data sets collected over the two years, the element stiffness correction factors for the columns, the girder, and boundary springs were identified using the back-propagation neural network. The results showed that the element stiffness values were nearly 10% different from the initial design values. It was also observed that the traffic conditions heavily influence the dynamic characteristics of this curved bridge. Furthermore, a probability distribution model of the element stiffness was established for long-term monitoring and analysis of the bridge stiffness change.

• Spatial Information Research
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• 제21권5호
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• pp.1-6
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• 2013

하천의 흐름 특성과 더불어 하상 변동을 연계하여 분석하는 일은 하천관리에 있어 가장 기본적이면서도 중요하다. 상류에 건설되는 신규댐 등 다양한 목적의 수공구조물이 계획될 때 하류 하천의 하상변화에 미치는 영향은 향후 하천을 지속적이고 안정적으로 보존, 관리하는데 반드시 고려해야 할 사항이다. 본 연구에서는 내성천을 적용 대상으로 항공사진 등을 활용한 하천의 장기적인 지형변화 양상을 고찰하였다. 아울러 1차원 수치모형인 GSTARS를 적용하여 주요지점의 하상변동 영향을 분석하였다. 장기적인 지형변화 양상을 바탕으로 댐이 건설된 후 내성천의 관리방안을 모색해 볼 수 있을 것이다.

• 한국ITS학회 논문지
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• 제22권5호
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• pp.1-18
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• 2023

최근 빅데이터 및 딥러닝 기술의 발전으로 다양한 교통정보가 널리 수집 및 활용되고 있다. 특히 시계열 특성을 갖는 교통정보 예측 분야에서는 장단기 메모리(long short term memory, LSTM)가 널리 사용되고 있다. LSTM에 입력되는 시계열 데이터의 추세, 계절성, 주기 등이 상이하기 때문에 시계열 데이터를 기반으로 한 예측 모델에서도 데이터의 특성에 따라 하이퍼 파라미터의 적합한 값을 찾는 시행착오법이 필수적이다. 이에 적합한 하이퍼 파라미터를 찾는 방법론이 정립된다면, 정확도가 높은 모델 구성에 소요되는 시간을 줄일 수 있다. 따라서, 본 연구에서는 국내 고속도로 차량검지기 데이터와 LSTM을 기반으로 교통정보 예측 모델을 개발하였으며, LSTM의 하이퍼 파라미터별 평가지표 변화를 통해 예측 결과에 미치는 영향평가를 수행하였다. 또한, 이를 기반으로 교통분야에서 고속도로 교통정보 예측에 적합한 하이퍼 파라미터를 찾는 방법론을 제시하였다.

• Journal of information and communication convergence engineering
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• 제5권2호
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• pp.171-176
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• 2007

To give a guarantee a consistently high level of quality and reliability of Telematics traffic service, traffic flow forecasting is very important issue. In this paper, we proposed an adaptable integrated prediction model to predict the traffic flow in the future. Our model combines two methods, short-term prediction model and long-term prediction model with different combining coefficients to reflect current traffic condition. Short-term model uses the Kalman filtering technique to predict the future traffic conditions. And long-term model processes accumulated speed patterns which means the analysis results for all past speeds of each road by classifying the same day and the same time interval. Combining two models makes it possible to predict future traffic flow with higher accuracy over a longer time range. Many experiments showed our algorithm gives a better precise prediction than only an accumulated speed pattern that is used commonly. The result can be applied to the car navigation to support a dynamic shortest path. In addition, it can give users the travel information to avoid the traffic congestion areas.

• 한국항만경제학회지
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• 제20권1호
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• pp.21-42
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• 2004

This paper addresses the operation, problems, and development policy of Gwangyang Port, Korea. This paper aims to analyze the operation condition and problems of Gwangyang Port and suggest long-term policies for developing Gwangyang Port as a logistic hub in northeast period. It is made up of three main sections: the operation, problems, and forecast of freight volumes; analysis of operational results of Gwangyang Port; development strategies of Gwangyang Port as a Logistics Hub. This paper was mainly based on a review of current papers/reports, an analysis of secondary data, and questionnaire survey. The major development strategies identified consisted of expansion regular service sea-route, formation of inter-modal transportation system, strengthening of port sales for Gwangyang port's recognition, securing operation-profits by fixed cargo volume, and promotion of free tread zone.

• 방사성폐기물학회지
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• 제20권2호
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• pp.255-258
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• 2022

Three government bodies, that is, the Ministry of Science and ICT (MSIT), Ministry of Trade, Industry, and Energy (MOTIE), and Nuclear Safety and Security (NSSC), jointly established the Institute for Korea Spent Nuclear Fuel (iKSNF) in December 2020 to secure the management technologies for spent nuclear fuel (SNF). The objective of iKSNF is to successfully conduct the long-term research and development program of the 「Development of Core Technologies to Ensure Safety of Spent Nuclear Fuel Storage and Disposal System」. Our program, known as the first multi-ministry program in the nuclear field of Korea, mainly focuses on developing core technologies required for the long-term management of SNF, including those for safe storage and deep geological disposal of SNF. The program comprises three subprograms and seven key projects covering the storage, disposal, and regulatory sectors of SNF management. Our program will last from 2021 through 2029, with a budget of approximately four billion USD sponsored by MSIT, MOTIE, and NSSC.

• ETRI Journal
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• 제45권2호
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• pp.329-337
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• 2023

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.