• Title/Summary/Keyword: 모델 길이

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Effect of Wild Plant Extracts Based on Korea Traditional Prescription on Endurance Exercise Performance during Calorie Restriction Period (초저열량식이로 인한 체력 저하에서 산야초추출물의 지구력 증진 효과)

  • Kim, Joong-Hark;Kim, Hwa-Young;Chang, Hey-Eun;Chung, Ji-Sang;Hwang, Sung-Joo;Park, Mi-Hyoun;Hong, Seong-Gil
    • Korean Journal of Food Science and Technology
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    • v.38 no.1
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    • pp.147-151
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    • 2006
  • Effects of wild plant extract (Lak) based on Korea traditional prescription on maximal exercise performance and endurance were evaluated using calorie-restriction animal model. In acute forced swimming test with 10% body weight attached to tail, dietary Lak supplementation increased exercise performance endurance by increasing concentrations of ATP and insulin-like growth factor-1 (IGF-1) under calorie-restriction condition, and decrement of blood lactic acid concentration and increment of muscle ATP content were observed. These results suggest Lak is very effective for decreasing side-effects of obesity therapy using very low calorie diet.

Analysis of the Minimum Distance of Small and Medium-Sized Fishing Vessels near Busan Port (어선 점용면적 기초 연구를 위한 부산항 중·소형 어선의 통항 이격거리 조사 및 분석)

  • Park, Hyungoo;Kim, Hyundong;Park, Young-soo;Kim, Dae-won;Park, Sangwon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.6
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    • pp.798-807
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    • 2021
  • In the era of the fourth industrial revolution, Maritime Autonomous Surface Ship(MASS) are expected to emerge in the shipping industry. There has been much active research on collision avoidance systems regarding MASSs, but most of it has focused on merchant ships. A study of collision avoidance systems in fishing vessels is also essential, because Maritime Autonomous Surface Ships will encounter all type of vessels. In this study, the minimum passage distance between small-medium-sized fishing vessels and other vessels was investigated for the Ship's domain analysis. Based on the AIS data of Busan port and the adjacent area, the separation distances of fishing vessels were analyzed. The results indicated that as the speed of fishing vessels increased, the distance increased from 4L to 8L, and as length of the fishing vessels increased, the distance decreased from 10L to 6L. It is believed that the results of this study can be applied in the future to collision avoidance models for MASSs that reflect the domain of fishing vessels.

Evaluating the Efficiency of Chinese Ports from the Perspective of Maritime Silk Road (중국 일대일로 항만의 효율성 평가)

  • Wang, Guan;Ahn, Seung-Bum
    • Journal of Korea Port Economic Association
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    • v.37 no.1
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    • pp.19-30
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    • 2021
  • The 21st Century Maritime Silk Road (MSR) is an important part of Belt and Road Initiative(BRI). As an economic and trade corridor for dozens of countries in Asia, Europe and Africa, and the port as an important link node, the efficiency of port operation directly affects the implementation of BRI's strategy. On the basis of combining BRI and related evaluation methods of port efficiency, this paper uses DEA-BCC model to select port production berth number and production berth length as input index container throughput and cargo throughput as output index to analyze the port efficiency of 14 ports in China. The results show that: (1) The overall efficiency level of the ports along the MSR is relatively low. Most of the ports have not reached the DEA efficiency and there are different degrees of problems in scale investment and technological improvement. However, this situation is accompanied by the implementation of China's maritime cooperation strategy and becoming better year by year. (2) The low operating efficiency of ports along China's MSR is mainly due to the lack of coordination between scale efficiency and technical efficiency, which is caused by insufficient scale investment in the port itself, weak economic linkage between the hinterland and the port, (3) Whether a port has a strong comprehensive strength does not entirely depend on the cargo throughput or scale but also includes the port's operating efficiency.

Development of Impact Factor Response Spectrum with Tri-Axle Moving Loads and Investigation of Response Factor of Middle-Small Size-RC Slab Aged Bridges (3축 이동하중을 고려한 충격계수 응답스펙트럼 개발 및 중소규모 RC 슬래브 노후교량 응답계수 분석)

  • Kim, Taehyeon;Hong, Sanghyun;Park, Kyung-Hoon;Roh, Hwasung
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.2
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    • pp.67-74
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    • 2019
  • In this paper the response factor is investigated for middle and small size-RC slab aged bridges. The response factor consists of static and dynamic response factors and is a main parameter in the frequency based-bridge load carrying capacity prediction model. Static and dynamic response factors are determined based on the frequency variation and the impact factor variation respectively between current and previous (or design) states of bridges. Here, the impact factor variation is figured out using the impact factor response spectrum which provides the impact factor according to the natural frequency of bridges. In this study, four actual RC slab bridges aged over 30 years after construction are considered and their span length is 12m. The dynamic loading test in field using a dump truck and eigenvalue analysis with FE models are conducted to identify the current and previous (or design) state-natural frequencies of the bridges, respectively. For more realistic considerations in the moving loading situation, the impact factor response spectrum is developed based on tri-axle moving loads representing the dump truck load distribution and various supporting conditions such as simply supported and both ends fixed conditions. From the results, the response factor is widely ranged from 0.21to 0.91, showing that the static response factor contributes significantly on the results while the dynamic response factor has a small effect on the result. Compared to the results obtained from the impact factor response spectrum based on the single axle-simply supported condition, the maximum percentage difference of the response factors is below 3.2% only.

A Study on Prediction of Earth Retaining Work Cost in the Project Planning Stage -Focusing on Apartment Construction Projects in Seoul- (사업기획단계에서 흙막이 공사비 예측에 관한 연구 -서울시내 아파트 건설사업을 중심으로-)

  • Lee, Jin-Kyu;Yang, Kyung-Jin;Park, Ki-Hyeon;Kim, Chan-kee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.385-392
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    • 2021
  • In general, earth retaining work in construction works enables the construction of structures, prevents the displacement of the surrounding ground to the maximum extent, and plays an important role in ensuring the safety of the surrounding structures and field workers. The earth retaining work and the construction method differ according to the various ground characteristics, surrounding topographical characteristics, repair environment, and design conditions. In particular, in the case of Seoul city, the environments and ground conditions differ according to the area. This study analyzed the earth retaining work cost mainly for the apartment construction project in Seoul and calculated the approximate earth retaining work cost at the project planning stage. A model was developed to predict the cost of earth retaining work that matches the characteristics of Seoul City and predict the construction cost for earth retaining work. This paper presents the predicted earth retaining work cost using a multiple regression model that applies 10 project outlines as independent variables. The error rate of the prediction result of the earth retaining work cost of the apartment construction project in Seoul using multiple regression models was 10.75%.

Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks (대규모 외생 변수 및 Deep Neural Network 기반 금융 시장 예측 및 성능 향상)

  • Cheon, Sung Gil;Lee, Ju Hong;Choi, Bum Ghi;Song, Jae Won
    • Smart Media Journal
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    • v.9 no.4
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    • pp.26-35
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    • 2020
  • Attempts to predict future stock prices have been studied steadily since the past. However, unlike general time-series data, financial time-series data has various obstacles to making predictions such as non-stationarity, long-term dependence, and non-linearity. In addition, variables of a wide range of data have limitations in the selection by humans, and the model should be able to automatically extract variables well. In this paper, we propose a 'sliding time step normalization' method that can normalize non-stationary data and LSTM autoencoder to compress variables from all variables. and 'moving transfer learning', which divides periods and performs transfer learning. In addition, the experiment shows that the performance is superior when using as many variables as possible through the neural network rather than using only 100 major financial variables and by using 'sliding time step normalization' to normalize the non-stationarity of data in all sections, it is shown to be effective in improving performance. 'moving transfer learning' shows that it is effective in improving the performance in long test intervals by evaluating the performance of the model and performing transfer learning in the test interval for each step.

A study on estimating the quick return flow from irrigation canal of agricultural water using watershed model (유역모델을 이용한 농업용수 신속회귀수량 산정 연구)

  • Lee, Jiwan;Jung, Chunggil;Kim, Daye;Maeng, Seungjin;Jeong, Hyunsik;Jo, Youngsik;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.55 no.5
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    • pp.321-331
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    • 2022
  • In this study, we tried to present a method for calculating the amount of regression using a watershed modeling method that can simulate the hydrological mechanism of water balance analysis and agricultural water based on watershed unit. Using the soil water assessment tool (SWAT), a watershed water balance analysis was conducted considering the simulation of paddy fields for the Manbongcheon Standard Basin (97.34 km2), which is a representative agricultural area of the Yeongsan river basin. Before evaluating return flow, the SWAT was calibrated and validated using the daily streamflow observation data at Naju streamflow gauge station (NJ). The coefficient of determination (R2), Nash-Sutcliffe Efficiency (NSE), Root-Mean-Square Error (RMSE) of NJ were 0.73, 0.70, 0.64 mm/day. Based on the calibration results for three years (2015-2017), the quick return flow and the return rate compared to the water supply amount for the irrigation period (April 1 to September 30) were calculated, and the average return flow rate was 53.4%. The proposed method of this study may be used as foundation data to optimal agricultural water supply plan for rational watershed management.

Development of an Automated Model for Selecting Overlapping Areas of Marine Activity Zone using GIS (GIS를 활용한 해양활동공간 중첩구역 산출 자동화 모형개발)

  • KIM, Bum-Kyu;PARK, Yong-Gil;CHOI, Hyun-Woo;KIM, Tae-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.3
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    • pp.59-73
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    • 2022
  • Currently, the conflict between use and conservation of the ocean is intensifying in the ocean, so it is essential to introduce an effective method to define and manage it in advance for each core value of ocean. Accordingly, although the ocean is divided into nine marine use zone and managed through marine spatial planning, the analysis of the sea areas where mutually exclusive activities overlap in the ocean is insufficient. In this study, an automated model was developed to derive a sea areas where the core values of the ocean conflict. In order to analyze marine activities, available data on marine activity were collected, and data necessity for the analysis of mutually exclusive marine activities were derived. After classifying the derived data into legal and characteristic data, a conflict matrix was prepared through pairwise comparison between data to designate priorities when overlapping occurs. Based on the designated priorities, an automation model was developed, and sea areas where marine activities conflicted were derived, visualized, and area calculated. Using this, it is judged that the efficiency of decision-making can be improved by clearly deriving the sea areas where major issues occur in establishing the marine spatial planning.

A Study of the Monitoring Model for the Serious Civil Accidents (중대시민재해 모니터링 모델 연구)

  • ChangYeol Lee;GilJoo Park;Twehwan Kim;Jonggil Chae
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.834-843
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    • 2023
  • Purpose: The Serious Civil Accidents consist of the public use facilities, the public transports, and the material and its products. According to the Serious Civil Accidents of the Serious Accidents Punishment Act, it must be constructed the safety and health management framework and execution system. In this study. we are design the model of the Serous Civil Accidents management and action system. Method: Firstly, we review from 8th article to 11th article of the enforcement ordinance of the Serious Accidents Punishment Act. From the articles, we design the visual and structural management system supporting the Act. Result: The Serious Civil Accidents apply to the system is consisted of 6 monitoring modules and 4 kinds DB modules. Conclusion: The Serious Civil Accidents are managed by the private enterprises, local governments, and public institutions. Specially, the CEO of restaurants, cafes, et al, do not know the detail information related to the Act. Also in case of the local governments, there are many facilities related the Act. It is not easy to the construct the management framework of the Act. This study provides the simple management structure for the Act.

Vehicle Acceleration and Vehicle Spacing Calculation Method Used YOLO (YOLO기법을 사용한 차량가속도 및 차두거리 산출방법)

  • Jeong-won Gil;Jae-seong Hwang;Jae-Kyung Kwon;Choul-ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.1
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    • pp.82-96
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    • 2024
  • While analyzing traffic flow, speed, traffic volume, and density are important macroscopic indicators, and acceleration and spacing are the important microscopic indicators. The speed and traffic volume can be collected with the currently installed traffic information collection devices. However, acceleration and spacing data are necessary for safety and autonomous driving but cannot be collected using the current traffic information collection devices. 'You Look Only Once'(YOLO), an object recognition technique, has excellent accuracy and real-time performance and is used in various fields, including the transportation field. In this study, to measure acceleration and spacing using YOLO, we developed a model that measures acceleration and spacing through changes in vehicle speed at each interval and the differences in the travel time between vehicles by setting the measurement intervals closely. It was confirmed that the range of acceleration and spacing is different depending on the traffic characteristics of each point, and a comparative analysis was performed according to the reference distance and screen angle to secure the measurement rate. The measurement interval was 20m, and the closer the angle was to a right angle, the higher the measurement rate. These results will contribute to the analysis of safety by intersection and the domestic vehicle behavior model.