• 제목/요약/키워드: Training manual

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자동화된 조종실에서의 조종사 태도에 관한 연구 (A study on Pilot's Behavior in the Automated Cockpit)

  • 권보헌;김칠영
    • 한국항공운항학회지
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    • 제13권2호
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    • pp.1-13
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    • 2005
  • The objective of the study is to analyze the pilot's behavior such as preference and management technique to the automation of aircraft through Flight Management Attitude Questionnaire(FMAQ) survey. Participants in the survey are grouped in rank and nationality, and attitudes of those groups toward the automation are analyzed. Previous empirical studies have demonstrated large cross-nation differences in attitudes regarding task performance across several work domains including aviation. Analysis of the survey shows that the pilots in Asia region like the automation and its usage more than the pilots in western and Oceania regions. The trust in the automation is higher among glass cockpit pilots than among the conventional aircraft pilots. More foreign pilots than Korean pilots believe that the automation may deteriorate their flight skills. While more Korean pilots than foreign pilots agree that their flight skills can be kept by manual controls. The pilots also feel that the automated cockpits would require more verbal communications between crew members. For improving the automation management skills and the effective automation usage, the Situation Awareness training and Crew Resource Management(CRM) training are strongly suggested.

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딥 러닝 기반의 영상분할 알고리즘을 이용한 의료영상 3차원 시각화에 관한 연구 (Three-Dimensional Visualization of Medical Image using Image Segmentation Algorithm based on Deep Learning)

  • 임상헌;김영재;김광기
    • 한국멀티미디어학회논문지
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    • 제23권3호
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    • pp.468-475
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    • 2020
  • In this paper, we proposed a three-dimensional visualization system for medical images in augmented reality based on deep learning. In the proposed system, the artificial neural network model performed fully automatic segmentation of the region of lung and pulmonary nodule from chest CT images. After applying the three-dimensional volume rendering method to the segmented images, it was visualized in augmented reality devices. As a result of the experiment, when nodules were present in the region of lung, it could be easily distinguished with the naked eye. Also, the location and shape of the lesions were intuitively confirmed. The evaluation was accomplished by comparing automated segmentation results of the test dataset to the manual segmented image. Through the evaluation of the segmentation model, we obtained the region of lung DSC (Dice Similarity Coefficient) of 98.77%, precision of 98.45%, recall of 99.10%. And the region of pulmonary nodule DSC of 91.88%, precision of 93.05%, recall of 90.94%. If this proposed system will be applied in medical fields such as medical practice and medical education, it is expected that it can contribute to custom organ modeling, lesion analysis, and surgical education and training of patients.

인천항 비상용 근로자의 재해분석 및 예방대책에 관한 연구 (A Study on Cargo Handling Accident Analysis and Prevention for irregular employee in Incheon Port)

  • 남영우;조용철;이창호
    • 대한안전경영과학회지
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    • 제11권2호
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    • pp.1-8
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    • 2009
  • The port, differently from general working place, is a closed area to execute security, customs, and quarantine procedures. The loading and unloading is being done differently by cargoes, ships, berths, and equipments. To load and unload a lot of equipments and different types of labor are required, in which work flow is very complicated. As above mentioned the port is very unique and deteriorated working place including danger. Now frequency of cargo handling accidents in port is highest for the second time among all industries. The purpose of this study is to propose ways to analyze and establish the preventive measure for cargo handling accidents in port. We have collected 45 accidents happened at Incheon Port during the period from 2007 to 2009. And the result of analysis, we proposed the new safety management system and safety education to reduce cargo handling accidents and to promote the quality of cargo handling in Incheon Port. Within the framework of effective safety management of cargo handling in port, this study will help to revise and establish system, education, and standard working manual with respect to the port loading and unloading system.

가상현실 기반 화재대응 훈련 시스템에 관한 연구 (A Study on Training System for Fire Prevention based on Virtual Reality)

  • 송은지
    • 디지털콘텐츠학회 논문지
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    • 제17권3호
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    • pp.189-195
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    • 2016
  • 통계청에 의하면 화재 건수는 2013년 대비 2014년, 1203건이 늘은 42,135건으로 나타났다. 또한, 재산 피해 총 2,560억, 부상자 수 1,599명, 사망자 수 263명으로 발표되었다. 정부에서 화재 시 행동요령을 발표했음에도 불구하고 이렇게 많은 부상자 및 사망자가 발생하는 것은 단순히 글로 배우고, 머리로만 인식하기 때문이다. 본 논문에서는 이러한 문제점을 해결하기 위해 가상현실 기반 화재 대응 시뮬레이션 시스템을 제안한다. 제안하는 시스템을 통하여 화재를 예방하기 위한 행동요령에 관하여 글로 된 메뉴얼로 교육하는 대신 실제 같은 상황에서 화재의 위험성을 체험하고 훈련할 수 있도록 하기 때문에 보다 효과적으로 화재대응 훈련을 할 수 있다.

Neuromuscular Skeletal Plasticity Moving on from Traditional Physiotherapy Concepts

  • Horst, Renata
    • PNF and Movement
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    • 제7권1호
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    • pp.33-46
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    • 2009
  • Purpose : N.A.P.(Neuromuscular Skeletal Plasticity) an integrative neuro-orthopedic concept to facilitate motor strategies in daily life. The primary thesis is, that treatment of body functions and structural impairments should be integrated within goal-oriented activities. The purpose of this article is to demonstrate that the functional activity itself, determines the structure. Material and Methods : A case report of a dentist with brachial plexus lesion after a motor vehicle accident is presented. The necessity for training body functions within relevant tasks is undermined by references which emphasize the importance of training realistic activities to enhance long-term changes in neural representation. Results : The treatment methods presented in this case show significant effects for the patient's ability to participate in his profession within less than a year's time after his motor vehicle accident. Conclusions : Current evidence supports the treatment methods of this concept. The inability to flex his elbow and supinate his forearm placed a considerable doubt to his ability to ever be able to participate in his profession again. Structural reorganization is possible and depends on functional demands, which need to be trained task-specifically. Single case reports may serve as the basis for further randomized controlled studies to support the efficacy of the treatment methods within the N.A.P. concept.

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Acupuncture in Sport Recovery: A Brief Review

  • CHAPLEAU, Christopher
    • 식품보건융합연구
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    • 제6권2호
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    • pp.23-26
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    • 2020
  • Active and therapeutic sport recovery is becoming a popular and important component in approving performance for pro and recreational athletes alike. It is also helping in the realm of injury prevention. In the search of finding modalities that are widely effective, natural, and safe, acupuncture is a viable and cost-effective treatment for helping athletes achieve this goal. More direct related research is needed, but testimonials from pro athletes and the body of research that currently exists provides powerful evidence on acupunctures ability to help with enhancing recovery. Specializing in acupuncture and exercise science, Chris integrates acupuncture into musculoskeletal rehabilitation therapy or fitness training for pain modulation, speedy recovery, and enhanced performance. Clients can choose to focus on one-on-one corrective exercise therapy, manual and massage therapy, or acupuncture. However, for best results, Chris recommends all three. Other modalities that he uses in therapy are acu-taping, herbal therapy, nutrition supplementation, cupping, guasha, and stretching techniques. The corrective exercise component is one-on-one body balancing management, focusing on strength and conditioning, post physical rehab - exercise therapy, integrative sport specific exercise, weight loss, core strengthening, dynamic lumbar stabilization, active recovery techniques, and myo-fascial release techniques. The acupuncture component focuses on sport injuries, myofascial pain, peripheral neuropathy, arthritis, facial rejuvenation, stress, smoking cessation, addiction detoxification program, weight management, sport recovery and performance.

PNF를 이용한 발목 강화 운동이 급성파종성 뇌척수염 환자의 균형 및 보행 향상에 미치는 영향 -단일사례연구- (Effect of an Ankle Strengthening Exercise that Uses PNF on the Balance and Walking Ability of Patients with Acute Disseminated Encephalomyelitis -A Single Case Study-)

  • 정두교
    • PNF and Movement
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    • 제15권1호
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    • pp.85-96
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    • 2017
  • Purpose: Peripheral neuropathy accompanied by sensory disturbance, such as limb paralysis and hemiplegia, is mainly caused by acute disseminated encephalomyelitis (ADEM). This case study aimed to determine the effect of ankle strengthening exercises that use proprioceptive neuromuscular facilitation (PNF) on the gait, balance, ankle-control ability, and sit-to-stand ability on a patient with ADEM. Methods: A 10-year-old male with quadriplegia and ankle-control impairment participated in this 4-week training intervention. The patient, diagnosed with ADEM, was treated with ankle strengthening exercises that used PNF. Results: The patient demonstrated improvements in balance, ankle-control ability, sit-to-stand ability, and gait performance. Outcome measures (manual muscle test, modified Ashworth scale, sensory assessment, coordination assessment, Berg balance scale, 5 time sit-to-stand test, and 10 m walk test) were taken before and after the training program. Conclusion: The results of this case suggest that an ankle strengthening exercise that uses PNF can improve the gait, balance, ankle-control ability, and sit-to-stand ability in patients with ADEM. In ADEM, the initial treatment is important, and the use of ankle strengthening exercises with PNF could lead to meaningful results. However, there is limited research due to an insufficient number of cases. In the future, more patients will need to be studied.

Tissue Level Based Deep Learning Framework for Early Detection of Dysplasia in Oral Squamous Epithelium

  • Gupta, Rachit Kumar;Kaur, Mandeep;Manhas, Jatinder
    • Journal of Multimedia Information System
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    • 제6권2호
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    • pp.81-86
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    • 2019
  • Deep learning is emerging as one of the best tool in processing data related to medical imaging. In our research work, we have proposed a deep learning based framework CNN (Convolutional Neural Network) for the classification of dysplastic tissue images. The CNN has classified the given images into 4 different classes namely normal tissue, mild dysplastic tissue, moderate dysplastic tissue and severe dysplastic tissue. The dataset under taken for the study consists of 672 tissue images of epithelial squamous layer of oral cavity captured out of the biopsy samples of 52 patients. After applying the data pre-processing and augmentation on the given dataset, 2688 images were created. Further, these 2688 images were classified into 4 categories with the help of expert Oral Pathologist. The classified data was supplied to the convolutional neural network for training and testing of the proposed framework. It has been observed that training data shows 91.65% accuracy whereas the testing data achieves 89.3% accuracy. The results produced by our proposed framework are also tested and validated by comparing the manual results produced by the medical experts working in this area.

A Novel Transfer Learning-Based Algorithm for Detecting Violence Images

  • Meng, Yuyan;Yuan, Deyu;Su, Shaofan;Ming, Yang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권6호
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    • pp.1818-1832
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    • 2022
  • Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

<사례보고> 농작업 환경개선을 위한 한국형 참여형 개선활동 교육(PAOT)의 개발과 실제 적용 사례 (<Field action report> Development and Application of Participatory Action Oriented Training(PAOT) for Improvement of Agricultural Working Environment in Korea)

  • 김진석;우극현;민영선;김보균;최경숙;박기수
    • 농촌의학ㆍ지역보건
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    • 제35권4호
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    • pp.417-427
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    • 2010
  • 본 연구는 한국형 농업인 참여형 개선활동 기법(Participatory Action Oriented Training, PAOT) 교육 프로그램을 개발하고 적용함으로써 더 많은 지역으로 이 프로그램이 확산되는 데 기여하고자 시도하였다. 연구진은 농작업 환경 체크리스트를 노지, 과수, 시설, 축산, 복합농 등의 5개 범주로 구분하여 실제 우리나라 농작업 현장에 적합한 것으로 개발하였다. 체크리스트는 농작물 운반과 보관, 작업대와 연장 도구, 안전한 농기계 사용, 농작업 환경관리, 휴식과 일의 분담, 기초안전관리 등 6개의 대분류에 38개의 문항으로 구성하였다. 각 대분류별로 4-7개의 문항으로 구성이 된다. 또한 체크리스트와 교육에 포함할 모범사례들은 연구진이 직접 촬영한 사진과 외국의 사례를 참고로 하여 삽화 전문가에게 의뢰하여 제작한 삽화로 구성하였다. 이렇게 개발한 교재를 바탕으로 한국형 PAOT 프로그램을 개발하여, 경상북도의 4개 농촌 마을의 농업인 94명을 대상으로 2007년 7월에서 2008년 10월까지 4회의 참여형 농작업환경 개선교육을 수행하였다. 교육이 종료 3개월 후 연구진들이 직접 참여 농업인들의 농가를 방문하여 농업인들의 개선계획 실천여부를 확인하였고, 1시간 30분 정도 소요되는 "개선성과 중간 평가회"를 개최하여 개별 마을민들의 개선 성과를 전체 참가자들이 공유하는 시간을 가졌다. 전체 대상자 307명(남자 142명, 여자 165명)중 남자 59(41.5%)명, 여자 35(21.2%)명 등 총 94(30.6%)명이 PAOT 교육에 참가하였다. 전체 교육의 진행시간에 대한 적절성에서는 94.8%가 '만족한다' 이상으로 응답하였고, 교육의 전반적인 내용에는 98.9%가 '만족한다' 이상으로 응답하였고, 농작업 체크리스트 실습에는 100.0%가 '만족한다'고 응답하는 등 만족도 조사 문항 모두 90% 이상에서 만족한다고 응답하였다. 본 연구에서 개발된 농작업 환경 개선을 위한 PAOT 기법은 자발적이면서 지속적으로 농업인의 안전과 건강을 유지할 수 있는 하나의 대안이 될 수 있을 것으로 기대된다. 이를 위해서는 향후 보다 객관적인 연구가 수행되어야 할 것이며 더 많은 실제적인 적용 경험을 축적하는 것이 필요할 것이다.