• Title/Summary/Keyword: 훈련장

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Application of Augmented Reality Technology to small-unit's field training and Legal System Analysis (증강현실 기술의 소부대 야외 전술훈련 활용 방안 및 법제도에 관한 고찰)

  • Kim, Kyoung Min;Park, Sangjun;Kim, Jee Won;Kim, Hoedong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.7
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    • pp.963-969
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    • 2018
  • According to the dictionary definition Augmented Reality Technology is "an enhanced version of reality where live direct or indirect views of physical real-world environments are augmented with superimposed computer-generated images over a user's view of the real-world, thus enhancing one's current perception of reality". Since civilian property damages, noise and accidents during the field exercise by military or drills so that AR technology are indispensible with small units drills in Army. However because AR technology which Army has adopted are usually use for special units or need separate spaces which costs lots of budgets, those are not fit for small unit drills or tactics in regular Army. In this regards this paper suggests the AR technology which can apply small unit drill field and the efficiency and legal concerns thereof as well.

A study on S/W development for Pneumatic target device to Complex Rotation using Wireless (무선통신망을 이용한 복합구동 공압표적장치 운영 S/W 개발에 관한 연구)

  • Ahn, Woo-Young;Jung, Jin-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.87-90
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    • 2016
  • 현재 한국 군부대에서 사용되고 있는 표적구동장치는 1990년도에 만들어진 재래식 장비로서 노후화 및 부품교체 난제로 인하여 지속적인 시스템의 오류와 이에 따른 장비 가동률 저하 등의 문제로 실전적인 사격 훈련이 어렵다. 이에 본 연구에서는 보다 효과적인 훈련을 진행하고자 복합 구동 표적장치를 개발하였다. 본 연구에서 개발된 복합 구동 표적장치는 Up-down, Swing, Turn, Rotary 방식의 표적 구동을 원격으로 제어하여 다양한 사격 및 전술 훈련 적용 가능하도록 제작되었으며, 또한 사격진행 통제 결과를 통제관 혼자서 총괄 운용이 가능한 모니터링 시스템을 구축하였다. 그리고 현재 각 부대에 설치되어 있는 표적구동장치 및 전술훈련 컨트롤러는 유선을 통한 시리얼통신 및 중앙 분배식 전원공급시스템으로서 운영설비를 위하여 과도한 배관배선 등의 공사가 별도로 시행되어야 하는 문제점이 있다. 따라서 본 연구에서는 이러한 문제점을 해결할 수 있도록 무선 통신시스템방식을 적용하여 다양한 훈련지역에 호환 적용될 수 있는 장비를 개발함으로써 훈련장 시설건립을 위한 부담을 줄이고, 운영의 극대화를 확보할 수 있도록 경제적, 기술적 효과를 추구하였다.

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A Study on the Effect of Education and Training of Small Businessess on Improving Job Satisfaction and Job Performance (중소기업 사내 교육훈련이 직무만족 및 직무성과 향상에 미치는 영향)

  • Kwak, No Hag;Tsedendash, Tserenkhuu;Chang, Sug-In
    • Industry Promotion Research
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    • v.1 no.2
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    • pp.19-25
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    • 2016
  • This study analyzed the effect of education and training of small businessess on improving job satisfaction and job performance. The study results showed availability of training and sufficientness of practice hours affected job satisfaction, quality & availability of training and sufficientness of practice hours affected job responsiveness, information accessability of training, training place & facility and sufficientness of practice hours affected willingness to participate in training. Women and procuction worker had higher willingness to learn, yet who are in their 20s and continuously worked for 3-5 years had lower training satisfaction so it is recommended to improve it. This study provided implications for exploring effective factors to enhance company training performance and verified the effect.

A Study on STCW-F Convention, Revolving Around Certification (STCW-F협약에 대한 고찰)

  • Park, Moon-Kab
    • Journal of Korea Ship Safrty Technology Authority
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    • s.31
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    • pp.71-80
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    • 2011
  • STCW-F협약은 어선에서 인적요소에 의한 해양사고예방을 위하여 IMO가 1995년에 채택한 협약으로 발효 요건은 15개국만 비준하면 발효되도록 한 협약이나 아직 발효되고 있지 않으나 최근에 비준국가의 급격한 증가로 발효가 임박하였다. 협약은 그 명칭에서 보는 바와 같이 어선 해기사의 자격증명과 훈련 및 당직근무의 기준에 관한 것이다. 자격증명은 무제한 수역에서 조업하는 길이 24미터 이상 항해어선의 당직항해사와 선장, 길이 45미터 이상 제한수역에서 조업하는 당직항해사 및 선장에 대한 자격증과 주기관 추진력 750킬로와트 이상 어선에 승무하는 일등기관사 및 기관장에 대한 자격증명 및 무선통신사의 자격증명이 있다. 훈련은 모든 어선원을 위한 기초안전훈련이 있으며 당직근무기준은 어선에서 항해당직을 유지하기 위하여 준수해야할 원칙이 있다. 또한 회의에서 채택한 결의서가 9개 있다. 특히 동 협약이 발효되면 비차별 조항에 따라 당사국은 항만국 통제를 시행할 수 있으므로 주요 연안국에서 입어 협상 등에서 자기 나라의 입지를 강화하기 위한 수단으로 사용될 소지도 있어 이에 대한 연구가 필요하다.

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The Effect of Mental Practice on Gait and Quality of Life in Stroke Patients (상상훈련이 뇌졸중 환자의 보행 및 삶의 질에 미치는 영향)

  • Kim, Jin-Seop
    • Journal of Digital Convergence
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    • v.10 no.4
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    • pp.271-277
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    • 2012
  • The aim of this study was to evaluate the effects of mental practice to improve on gait and quality of life in stroke patients. Participants were randomly allocated to two groups: experimental(n=10) and control (n=10). Both groups received neural development treatment training for 6 sessions 1 hour per week during 6 weeks. Experimental group practiced additional mental practice for 3 session 10 minutes per week 6 weeks. Results were evaluated by spatial-temporal parameter, 10m walk test, and quality of life. There were significantly increased by mental practice in outcomes of the gait performance from the gait velocity, cadence, double support, single support, 10m walk test. There were significantly increased by mental practice in outcomes of stroke impact scale from the strength, social participants, and stroke recovery. In conclusion, the mental practice improves gait performance and quality of life in stroke patients. The results suggest that mental practice training is feasible and suitable to stroke patients.

Data Analysis and Processing Methods of Magnetic Sensor for Measuring Wrist Gesture (손목운동 측정을 위한 자기장 센서 데이터의 분석 및 처리 방법)

  • Yeo, Hee-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.28-36
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    • 2020
  • As many types of magnetic sensors are widely applied in various industries, the analysis and processing of magnetic sensor data need to be accurate. On the other hand, owing to the complexity of the magnetic field line caused by a moving magnet, the magnetic data generated by magnetic sensors are unpredictably nonlinear. Many industry systems using magnetic sensors have struggled with the nonlinear nature of magnetic sensor data. To reduce the effect of the nonlinearity, they have the target objects fixed firmly. Therefore, to collect accurate and reliable data, considerable efforts have been made to resolve the issues with the expensive tools and systems required. Through this paper, to tackle the issues, the data analysis and methodologies, including intelligent algorithms, are presented for the wrist rehabilitation system using magnetic sensors while being implemented without using expensive tools or systems. On processing magnetic sensor data, this paper adopted an intelligent algorithm, fuzzy logic, and compared the performance of other algorithms for comparison.

Effects of Training on Workers' Job Satisfaction: A Case of Chinese State-Owned Companies (조직구성원의 교육훈련이 직무만족에 미치는 영향: 중국 국유기업을 대상으로)

  • Zhang, Yawei;Lee, Jeong Eon
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.42-49
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    • 2016
  • Chinese state-owned companies play an important role in national economy. Since training ensure gaining capabilities of human resources, the companies emphasize the importance of training human resources, also invest a lot of resources on training. The aim of this study is to find out the effect of training on job satisfaction and the mediating effect of self-efficacy. A total of 299 questionnaires is collected from Chinese state-owned companies to collect data and for hypothesis testing. The results show that training has a positive influence on internal and external job satisfaction. It is also found that a mediating effect of self-efficacy between training and job satisfaction.

AR based Field Training System Algorithm for Small Units (증강현실 기반의 소부대 야외 전술훈련체계 알고리즘)

  • Park, Sangjun;Kim, Jee Won;Kim, Kyoung Min;Kim, Hoedong
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.81-87
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    • 2018
  • Military training is being carried out to win the combats through the quick and accurate response exercise for changeable engagement situations on battle fields. However, practically, it is really difficult to do actual fight training. Even though ROK Army is doing effort for practical training in KCTC(Korea army advanced Combat Training Center) supplying such as MILES equipments but a single platoon is able to use KCTC facilities or MILES equipments only 10 days a year. In order to find solution on this problem many researches suggesting AR or VR technology are still on the way. Nevertheless these are not fully covered the training done in the real field. In this regard, this paper proposes how the AR technology algorithm to apply on small units during field training exercise.

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Exploring the Use of Melody During RAS Gait Training for Adolescents with Traumatic Brain Injury: A Case Study (외상성 뇌손상 청소년 대상 리듬청각자극(RAS) 보행 훈련 시 선율 적용 사례)

  • Park, Hye Ji
    • Journal of Music and Human Behavior
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    • v.12 no.2
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    • pp.19-36
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    • 2015
  • The purpose of this study was to examine the effects of rhythmic auditory stimulation (RAS) on gait parameters, with and without the presence of a melody, for adolescents with traumatic brain injury (TBI). Three adolescents with TBI received a total of ten individual RAS training sessions. At pre and posttest, spatiotemporal parameters including cadence, velocity and kinematic parameters were measured using the VICON 370 Motion Analysis System. The results showed no significant difference in gait velocity between the two conditions, thus the presence of the melody condition did not impact the outcome of RAS gait training. On the other hand, all participants showed improvement in gait function after RAS training. The cadence, velocity, stride length, and symmetry were increased and the stride time was reduced after training. The motion analysis demonstrated that the movement patterns of hip and knee joints improved, as they were more similar to normal gait, which indicates that the walkings tance became more stable. The research findings indicate that rhythm is the primary factor in mediating gait functions via RAS training. This study also supports that RAS training can effectively improve the gait function for adolescents with TBI.

Analysis on Strategies for Modeling the Wave Equation with Physics-Informed Neural Networks (물리정보신경망을 이용한 파동방정식 모델링 전략 분석)

  • Sangin Cho;Woochang Choi;Jun Ji;Sukjoon Pyun
    • Geophysics and Geophysical Exploration
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    • v.26 no.3
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    • pp.114-125
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    • 2023
  • The physics-informed neural network (PINN) has been proposed to overcome the limitations of various numerical methods used to solve partial differential equations (PDEs) and the drawbacks of purely data-driven machine learning. The PINN directly applies PDEs to the construction of the loss function, introducing physical constraints to machine learning training. This technique can also be applied to wave equation modeling. However, to solve the wave equation using the PINN, second-order differentiations with respect to input data must be performed during neural network training, and the resulting wavefields contain complex dynamical phenomena, requiring careful strategies. This tutorial elucidates the fundamental concepts of the PINN and discusses considerations for wave equation modeling using the PINN approach. These considerations include spatial coordinate normalization, the selection of activation functions, and strategies for incorporating physics loss. Our experimental results demonstrated that normalizing the spatial coordinates of the training data leads to a more accurate reflection of initial conditions in neural network training for wave equation modeling. Furthermore, the characteristics of various functions were compared to select an appropriate activation function for wavefield prediction using neural networks. These comparisons focused on their differentiation with respect to input data and their convergence properties. Finally, the results of two scenarios for incorporating physics loss into the loss function during neural network training were compared. Through numerical experiments, a curriculum-based learning strategy, applying physics loss after the initial training steps, was more effective than utilizing physics loss from the early training steps. In addition, the effectiveness of the PINN technique was confirmed by comparing these results with those of training without any use of physics loss.