• 제목/요약/키워드: Training Bridge

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실습선 선교의 개선 설계에 관한 연구 (A Study on the Improving Design of the Training Ship's Bridge)

  • 이홍훈;김철승;양원재;정재용;박종환
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2007년도 추계학술발표회
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    • pp.161-167
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    • 2007
  • 실습선의 선교가 운항의 안전성과 효율적인 항해실습교육을 동시에 담보할 수 있도록 설계 되었는지 검토하였던 연구는 전무한 상태이다. 이에 본 연구는 국내 실습선의 선교를 주항해선교와 실습선교의 배치형태에 따라 전후형 선교배치, 상하형 선교배치, 단일형 선교배치의 3가지 배치형태로 분류하였다. 또한 설문조사를 통하여 실습선 선교 배치형태에 따라 항해실습교육의 운영형태가 서로 어떻게 달라지는지 검토하였고, 운항과 항해실습교육을 병행하는 데 있어 야기되는 장 ${\cdot}$ 단점을 도출하였다. 이를 바탕으로 운항의 안전성을 확보하고 효율적인 항해실습교육을 위해 새로운 형태의 실습선 선교 개선 모델을 제시하였다.

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실습선 선교의 효율적 개선 설계에 관한 연구 (A Study on the New Design of the Training Ship's Bridge)

  • 이홍훈;김철승;양원재
    • 해양환경안전학회지
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    • 제14권2호
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    • pp.169-175
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    • 2008
  • 지금까지 실습선의 선교가 운항의 안전성과 효율적인 항해실습교육을 동시에 담보할 수 있도록 설계되었는지 검토하였던 연구는 전무한 상태이다. 본 연구는 국내 실습선의 선교를 주항해선교와 실습선교의 배치형태에 따라 전후형 선교배치, 상하형 선교배치, 단일형 선교배치의 3가지 배치형태로 분류하였다. 또한 설문조사를 통하여 실습선 선교 배치형태에 따라 항해실습교육의 운영형태가 서로 어떻게 달라지는지 검토하였고, 운항과 항해실습교육을 병행하는 데 있어 야기되는 장 단점을 도출하였다. 이를 바탕으로 운항의 안전성을 확보하고 효율적인 항해실습교육을 위해 새로운 형태의 실습선 선교 개선 모델을 제시하였다.

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Bridge Resource Management Training Programs in Korea and Their Effectiveness

  • Hong, Seung Kweon;Kim, Hongtae
    • 대한인간공학회지
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    • 제35권4호
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    • pp.237-245
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    • 2016
  • Objective: This study aims to introduce the bridge resource management (BRM) training courses implemented in Korea and to analyze their effectiveness in several views. Background: BRM training will be a mandatory course for crew members of ships from 2017. At this stage, it is needed to check if the BRM training courses implemented until now was effective to the Korean maritime safety and to investigate if there are more effective training methods. Method: The effectiveness of BRM training intervention in Korea was compared with that of the other countries, using Kirkpatrick's (1976) training evaluation framework. Kim (2012)'s data on the BRM training effectiveness were re-analyzed in order to check if the effects of BRM training are dependent on the bridge work experience. Results: Many BRM training courses has been opened in Korea. However, the methods to assess BRM training effects used in Korea focused on the survey of subjective satisfaction level, not investigating trainees' attitude and behavior change. On the other hand, the effectiveness of BRM training was higher to the bridge officers with long work experience than with shorter work experience. Conclusion: The contents of BRM training should be changed to effectively apply to the context of the real-world exercise and be differentiated depending on the work experience. Research on the methods to measure the BRM training effectiveness is also more required. Application: The results of this study will aid to develop the BRM training courses for bridge officers of ships in the BRM training institutions.

중앙 브릿지 칩셋을 갖춘 Xilinx FPGA, ALTERA CPLD 겸용 Digital Logic Design Training kit (Taining Kit for Xilinx FPGA or ALTERA CPLD Digital Logic Design with Center Bridge Chipset Architecture)

  • 전상현;정완영
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 II
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    • pp.907-910
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    • 2003
  • We have developed Logic Design Training Kit for studying, actual training, designing of FPGA(Xillinx) or CPLD(ALTERA CPLD), the Digital Logic Device. This training kit has 12 matrix keys, RS232 port for serial communication and uses LED array. six FND(Dynamic), LCD as display part. That is standard specification for digital logic training kit. Special point of this kit is that we make two logic device trainig kit. This two logic device kit have more smaller and simple architecture because only uses one chip. That chip already includes a lot of functions that need for training kit, such as : complex logic circuit needed the two kind of logic devices, 16 way of system clock deviding function, serial communication interrupt....etc. We called that one chip is Center Bridge Chipset ; Xillinx FPGA Spartan2. User can select between using one device of FPGA or CPLD, or uses both them. Because of, Center Bridge Chipset has profitable architecture. it can work as Logic Device's networking with Master-Slave connection When using both logic devices.

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선박조종 시뮬레이터를 이용한 해사교육 및 훈련 (Maritime Education and Training(MET) by Ship Handling Simulator)

  • Chang-Je Kim
    • 한국시뮬레이션학회논문지
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    • 제11권4호
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    • pp.81-89
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    • 2002
  • Several full mission simulators have been installed since about 10 years ago in Korea. The newly established Marine Simulation Training and Research Center at Korea Maritime University has played a key role for education and training of both cadets and in-service officers trainees, and for research on Korea ports such as Jeju international cruise port, Ulsan SBM and Kwangyang container port and many others. This study mainly focuses maritime education and training on the ship handling simulation and the bridge resource management conducted by Korea Maritime University.

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An Ergonomic Approach for Optimized Layout of Training Ship's Bridge

  • Jang, Jun-Hyuk;Kim, Hong-Tae;Sim, Joung-Hoon;Kim, Hae-Sik
    • 한국항해항만학회지
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    • 제35권9호
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    • pp.707-715
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    • 2011
  • To propose an ergonomic layout on the bridge, this study conducted a usability evaluation on the on-bridge navigational equipment of a college training ship that is in use at present. Through the usability evaluation on the training ship navigators, the possibility of operational errors with navigational equipment, the possibility of readout errors with display devices and even the effect of navigational equipment on navigation were evaluated beyond the scope of existing layouts, which adopt only the importance and usage frequency of navigational equipment. By taking ergonomic variables into consideration, this study suggested an optimized layout for on-bridge navigational equipment using a mathematical programming model.

확률신경망을 이용한 구조물 손상평가-철도교 적용 (Structural Damage Assessment Based on PNN -Application to Railway Bridge)

  • 조효남;이성칠;오달수;최윤석
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2002년도 가을 학술발표회 논문집
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    • pp.321-329
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    • 2002
  • Artificial neural network has been used for damage assessment by many researchers, but there are still some barriers that must be overcome to improve its accuracy and efficiency. The major problems with the conventional neural network are the necessity of many training patterns for neural network teaming process and ambiguity in the relationship of neural network structure to the convergence of solution. In this paper, the PNN is used as a pattern classifier to detect the damages of the railway bridge using dynamic response. The comparison between the mode shape and the natural frequency of structure as training pattern is investigated for approriate selection of the training pattern in the damage detection of railway bridge using the PNN.

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An image-based deep learning network technique for structural health monitoring

  • Lee, Dong-Han;Koh, Bong-Hwan
    • Smart Structures and Systems
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    • 제28권6호
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    • pp.799-810
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    • 2021
  • When monitoring the structural integrity of a bridge using data collected through accelerometers, identifying the profile of the load exerted on the bridge from the vehicles passing over it becomes a crucial task. In this study, the speed and location of vehicles on the deck of a bridge is reconfigured using real-time video to implicitly associate the load applied to the bridge with the response from the bridge sensors to develop an image-based deep learning network model. Instead of directly measuring the load that a moving vehicle exerts on the bridge, the intention in the proposed method is to replace the correlation between the movement of vehicles from CCTV images and the corresponding response by the bridge with a neural network model. Given the framework of an input-output-based system identification, CCTV images secured from the bridge and the acceleration measurements from a cantilevered beam are combined during the process of training the neural network model. Since in reality, structural damage cannot be induced in a bridge, the focus of the study is on identifying local changes in parameters by adding mass to a cantilevered beam in the laboratory. The study successfully identified the change in the material parameters in the beam by using the deep-learning neural network model. Also, the method correctly predicted the acceleration response of the beam. The proposed approach can be extended to the structural health monitoring of actual bridges, and its sensitivity to damage can also be improved through optimization of the network training.

The Effects of Bridge Exercise with Abdominal Drawing-in on Balance in Patients with Stroke

  • Song, Gui-bin;Heo, Ju-young
    • The Journal of Korean Physical Therapy
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    • 제28권1호
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    • pp.1-7
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    • 2016
  • Purpose: The aim of this study was to evaluate the effect of Bridge exercise with abdominal drawing-in on static and dynamic balance in patients with stroke. Methods: Forty patients with stroke participated in this study. Participation was randomly assigned to the Bridge exercise group (n=20) and the Bridge exercise with abdominal drawing-in group (n=20). A bio-feedback device was used when patients performed the Bridge exercise with abdominal drawing-in. This training was performed without any motion on the patient's spine and upper belly part, and the pressure was held with the biofeedback device as 40-70 mmHg. Both groups received training 30 minutes per day, three times per week, for four weeks. Weight bearing, anterior limit of stability, and posterior limit of stability for static balance ability were measured, and Berg balance scale (BBS), Timed up and go test (TUG) for dynamic balance ability were also measured. Results: Participants showed significant differences between pre- and post-mediation in terms of weight bearing, anterior limit of stability, posterior limit of stability, Berg balance scale, and Timed up and go test (p<0.05). The Bridge exercise with abdominal drawing-in group showed a more significant increase (p<0.05). Conclusion: According to the results of this study, both exercises were effective for improving the static and dynamic balance ability. However we suggest that the Bridge exercise with abdominal drawing-in is more efficient for increasing balance ability in patients with stroke.

The Effects of Performing a One-legged Bridge with Hip Abduction and Unstable Surface on Trunk and Gluteal Muscle Activation in Healthy Adults

  • Bak, Jong-Woo;Cho, Min-Kwon;Chung, Yi-Jung
    • The Journal of Korean Physical Therapy
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    • 제28권3호
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    • pp.205-211
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    • 2016
  • Purpose: This study investigated the influence of muscle activity of the trunk and lower limb during a bridge exercise using a unstable surface and during one-legged bridge hip abduction in healthy adults. Methods: Nineteen healthy participated in this study (12 males and 7 females, aged $29.0{\pm}5.0$). The participants were instructed to perform the bridge exercises under six different conditions. Trunk and lower limb muscle activation, such as the erector spinae (ES), gluteus maximus (GM), external oblique (EO), and internal oblique (IO), was measured using surface electromyography. The six different bridge exercise conditions were conducted randomly. Data analysis was performed by using the mean scores after three trials of each condition. Results: On the ipsilateral side, muscle activity of the IO, EO, and ES during the hip abduction condition (Single-legged hip abduction bridge, Bridge with use of a ball and single-leg hip abduction, Bridge with use of a sling and single-leg hip abduction) was significantly higher than those during Unstable surface (Bridge with use of a ball, Bridge with use of a sling) and General bridging exercise (p<0.05). In the contralateral side, activities of the GM and EO during Single-legged hip abduction bridge, Bridge with use of a ball and single-leg hip abduction and Bridge with use of a sling and single-leg hip abduction was significantly higher than that during Bridge with use of a ball, Bridge with use of a sling and General bridging exercise (p<0.05). Conclusion: This study demonstrated that performing a bridge exercise with use of a sling and single-leg hip abduction had an effect on trunk and gluteal muscle activation. The findings of this study suggest that this training method can be clinically effective for unilateral training and for patients with hemiplegia.