• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2018년도 추계학술대회
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• pp.25-26
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• 2018

가상훈련은 가상현실을 기반으로 효율적으로 훈련을 수행할 수 있는 방법으로써 안전과 비용효율성을 기반으로 널리 사용되고 있다. 본 논문은 해사안전 훈련 중 구명정 정수 훈련, 밀폐 구역 훈련, 초기 화재 소화 훈련의 가상훈련으로써의 구현 및 이에 대한 유효성 평가를 제안한다. 구체적으로 각 훈련의 목표에 맞도록 가상훈련을 구현하는 방법을 논의하며 이 방식으로 구현했을 때의 피훈련자 유효성 평가 방식을 각 훈련에 맞게 제안한다. 제안된 평가 방식은 피훈련자의 훈련도 평가 및 훈련 방식의 훈련 효율도 평가, 훈련의 해사 안전 기여도에 대한 정량적 평가 지표로써 사용될 수 있다.

• ETRI Journal
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• 제32권5호
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• pp.695-703
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• 2010

Training is one of the representative application fields of virtual reality technology where users can have virtual experience in a training task and working environment. Widely used in the medical and military fields, virtual-reality-based training systems are also useful in industrial fields, such as the aerospace industry, since they show superiority over real training environments in terms of accessibility, safety, and cost. The shipbuilding industry is known as a labor-intensive industry that demands a lot of skilled workers. In particular, painting jobs in the shipbuilding industry require a continuous supplement of human resources since many workers leave due to the poor working environment. In this paper, the authors present a virtual-reality-based training system for spray painting tasks in the shipbuilding industry. The design issues and implementation details of the training system are described, and also its advantages and shortcomings are discussed based on use cases in actual work fields.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권10호
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• pp.1259-1265
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• 2004

분류학습에서 높은 정확도를 유지하기 위해서는 충분한 분류 데이타가 필요하게 되는데 분류 데이타는 미 분류 데이타보다 생성하기가 어려운 경우가 많다. 따라서 미 분류 데이타를 활용하여 분류의 정확도를 향상시키는 것은 큰 효용성을 가지며 이러한 미 분류 데이타를 활용하는 대표적인 학습방법 중의 하나는 협력학습(co-training) 알고리즘이다. 이는 데이타를 두 개의 독립적인 속성그룹으로 나누어 두개의 분류자로 학습한 후 미 분류 데이타를 분류하고 그중 가장 신뢰성이 높은 데이타를 분류 데이터에 포함하고 이를 반복하는 학습모델이다. 하지만 이 방법은 전체 데이타의 속성을 독립적인 두개의 집합으로 분할하여야하는 제약이 있다. 따라서 본 연구에서는 이와 같은 문제점을 개선하여 보통의 데이터베이스에 적용시킬 수 있는 새로운 협력학습방법을 제시 하고자한다. 즉. 두 개의 독립적인 속성 그룹으로 나누는 가정을 따르지 않고 전체 속성을 사용할 수 있으며 두 개 이상의 분류자를 사용하는 새로운 협력학습방법을 제안하였다.

• 직업교육연구
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• 제35권6호
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• pp.113-141
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• 2016

세계 경제 위기에 따라 심화되는 청년 실업 문제에 대한 해결책으로 도제훈련제도가 제시되었다. 이는 기업이 청년층을 고용하여 직접 인력을 양성하는 제도로서 각국에서 시행하고 있으며, 우리나라에서는 '일학습병행제'로 실시되고 있다. 한국형 도제훈련은 독어권 국가인 독일과 스위스의 도제훈련에 의해 시작되었다. 독어권 국가들의 도제훈련제도는 성공적인 사례로서 공통적으로 기업이 주도하는 수요중심적인 훈련이라는 특징을 갖고 있다. 또한 도제훈련이 교육과정에 통합되어 있어 학업과 연계가 가능했고, 학생 또한 적극적으로 훈련에 참여하고 있다. 이에 본 연구는 성공적으로 운영되고 있는 독일, 스위스, 오스트리아 독어권 국가들의 도제훈련제도를 살펴 공통점과 예비도제훈련과정, 도제훈련과정 운영, 운영주체, 기업 내 트레이너, 비용 편익분석 측면에서의 차이점을 심층적으로 분석하였다. 연구의 결과로 주요요소별 비교사항은 다음과 같다. 첫째, 독일은 도제훈련 이전 예비과정으로 실습을 진행하는 반면, 스위스와 오스트리아는 예비교육과정코스가 운영된다. 둘째, 독일과 스위스는 단일형의 도제훈련을 제공하는 반면, 오스트리아의 경우 모듈형으로 도제훈련을 진행하고 있다. 셋째, 독어권 국가는 사회적 파트너가 적극적으로 참여하는 운영 체계로서 산업이 요구하는 요소를 시스템에 적극적으로 반영하고 있다. 넷째, 독어권 국가는 기업 내 트레이너의 자격을 명시하여 기업 내 현장훈련의 질 관리를 엄격하게 시행하고 있다. 다섯째, 기업의 비용 편익 분석에 있어 독일과 오스트리아는 편익보다 비용이 많이 드는 반면, 스위스는 비용보다 순이익이 발생한다. 이러한 세 국가의 비교 분석을 바탕으로 한국의 일학습병행제에 시사점을 제공하고자 한다.

• 대한치과보철학회지
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• 제51권4호
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• pp.292-299
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• 2013

연구 목적: 의료환경의 변화에 따라 새로운 의료관리에 대한 필요성과 함께 의료기관의 원가관리에 대한 관심이 증가되었다. 본 연구는 치과의료기관에서 빈번하게 제공되는 치과 임플란트 서비스를 직원의 활동에 근거하여 자원 또는 원가를 배부하는 활동기준원가(Activity-Based Cost, ABC) 방법을 적용하여 원가를 산정하기 위해 시행되었다. 연구 대상 및 방법: 수도권 소재의 A 치과의료기관을 대상으로 치과 임플란트 원가산정을 실시하였다. 해당 기관의 총비용을 확인하기 위해 1사분기 세무회계자료를 사용하였고 기관 내에서 이루어지는 활동을 파악하기 위하여 활동분석표 작성을 요청하였다. 자료를 바탕으로 치과 임플란트에 해당하는 직접원가와 간접원가를 분리하고, 간접원가의 왜곡을 최소화하기 위해 원가동인(Cost driver)을 파악하여 활동별로 비용을 배분하는 활동기준원가 분석을 실시하였다. 결과:치과 임플란트 원가를 직접비와 간접비로 나누어 비교한 결과 각각 35.8%, 49.5%로 나타났다. 치과 임플란트 1개당 원가는 1,579천원 정도로 산정되었고, 임플란트 수술 및 시술 전 후 활동이 포함된 보철 시술 진료영역에 47만원(30%)이 소요되어 가장 많은 부분을 차지하였다. 연수 및 치과학 교육 등의 활동도 기타 진료에 비해 상대적으로 높은 비중을 나타내었다. 결론: 과학적인 치과 임플란트의 수가 산정을 위해서 치과 임플란트와 관련된 직접적인 진료 술식 이외에 시술 전 후 준비활동 등에 대한 고려가 충분히 이루어져야 한다. 임플란트 시술 전 후의 활동 및 교육, 연수활동 등은 간접비에 포함되는 부분이나 진료의 질을 담보하고 환자의 만족도를 향상시키기 위해 반드시 필요할 활동으로 이러한 활동들을 고려한 합리적 수가 산정이 필요하다.

• 한국의료질향상학회지
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• 제21권1호
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• pp.52-61
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• 2015

Objectives: Because recently hospital had to faced with financial hardship, we have to have more effective hospital management. The purpose of this study was to reduce loss costs of the hospital through the systematic management of medical supplies and increase operational efficiency. Methods: The team was composed of outpatient nursing staff, medical record administrator, nurses in medical insurance, medical computer center, dermatologists for this study. We surveyed for 114 people including outpatient nursing staff, nurse aids, medical assistant, physician assistant. Pre-survey period was 2013.03.11 ~ 03.30(2 weeks), and post-survey period was 2013.09.03 ~ 09.17(2 weeks). Result: We improved this way through the computational improvement, conservation campaigns, inventory management, staff training, replaced by low-cost medical supplies. The finding of this study were as follows: Comparing before and after the activity of outpatient nursing staff's degree of knowledge, performance, economic consciousness, the degree of knowledge, performance was increased, but there was no significant change in economic consciousness. Performance of Married person is higher than the unmarried, In addition, the high-position people were more the degree of knowleage, economic consciousness. After activity, correlation of goods and treatment, examinations is increasing, but statistically there was no mean. Conclusion: This study revealed that knowledge in a short period of activity, but also can improve, perform the same change in behavior is not easy. This one shows the intensive training required to sustained and systematic behavioral changes, such as changes in behavior, perform rituals to help the economy. Expensive medical supplies to replace a similar effect as the cost of materials just to have a lot of cost savings. Therefore, more medical supplies change is necessary to develop alternative treatment and cost cutting.

• 한국정밀공학회지
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• 제19권12호
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• pp.38-44
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• 2002

A walking training robot is proposed to provide stable and comfortable walking supports by reducing body weight load partially and a force control of an arm of walking training robot using sliding mode controller is also proposed. The current gait training apparatus in hospital are ineffective for the difficulty in keeping constant unloading level and for the constraint of patients' free walking. The proposed walking training robot effectively unloads body weight during walking. The walking training robot consists of an unloading manipulator and a mobile platform. The manipulator driven by an electro-mechanical linear mechanism unloads body weight in various levels. The mobile platform is wheel type, which allows patients to walt freely. The developed unloading system has advantages such as low noise level, lightweight, low manufacturing cost and low power consumption. A system model fur the manipulator is established using Lagrange's equation. To unload the weight of the patients, sliding mode control with p-control is adopted. Both control responses with a weight and human walking control responses are analyzed through experimental implementation to demonstrate performance characteristics of the proposed force controller.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.620-626
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• 2004

For general nonlinear processes, it is difficult to control with a linear model-based control method and nonlinear controls are considered. Among the numerous approaches suggested, the most rigorous approach is to use dynamic optimization. Many general engineering problems like control, scheduling, planning etc. are expressed by functional optimization problem and most of them can be changed into dynamic programming (DP) problems. However the DP problems are used in just few cases because as the size of the problem grows, the dynamic programming approach is suffered from the burden of calculation which is called as 'curse of dimensionality'. In order to avoid this problem, the Neuro-Dynamic Programming (NDP) approach is proposed by Bertsekas and Tsitsiklis (1996). To get the solution of seriously nonlinear process control, the interest in NDP approach is enlarged and NDP algorithm is applied to diverse areas such as retailing, finance, inventory management, communication networks, etc. and it has been extended to chemical engineering parts. In the NDP approach, we select the optimal control input policy to minimize the value of cost which is calculated by the sum of current stage cost and future stages cost starting from the next state. The cost value is related with a weight square sum of error and input movement. During the calculation of optimal input policy, if the approximate cost function by using simulation data is utilized with Bellman iteration, the burden of calculation can be relieved and the curse of dimensionality problem of DP can be overcome. It is very important issue how to construct the cost-to-go function which has a good approximate performance. The neural network is one of the eager learning methods and it works as a global approximator to cost-to-go function. In this algorithm, the training of neural network is important and difficult part, and it gives significant effect on the performance of control. To avoid the difficulty in neural network training, the lazy learning method like k-nearest neighbor method can be exploited. The training is unnecessary for this method but requires more computation time and greater data storage. The pH neutralization process has long been taken as a representative benchmark problem of nonlin ar chemical process control due to its nonlinearity and time-varying nature. In this study, the NDP algorithm was applied to pH neutralization process. At first, the pH neutralization process control to use NDP algorithm was performed through simulations with various approximators. The global and local approximators are used for NDP calculation. After that, the verification of NDP in real system was made by pH neutralization experiment. The control results by NDP algorithm was compared with those by the PI controller which is traditionally used, in both simulations and experiments. From the comparison of results, the control by NDP algorithm showed faster and better control performance than PI controller. In addition to that, the control by NDP algorithm showed the good results when it applied to the cases with disturbances and multiple set point changes.

• 한국조리학회지
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• 제6권2호
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• pp.291-314
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• 2000

At present, the students majoring in tourism apprach theoretically and practically target human resource development which is blanceded between creativity and specialty. And yet, the initial step of on-the-job tranning has not been worked and the area of tourism and experience in this field are know as a beginning stage. This, this study is focusing on the on-the-job tranning in the area of tourism major in technical college. The issues and alternative solutions are as follows First, many student hope sutible training cost require. Second, An amount of subsidy for trainee is too low, and a trainee is used as substitution for regularem ployee's vacation during summer season and for beginning and end of year during winter season. Third, There is no clear linkage between job training and employment. Forth, many students enter a technical college due to learn professional technique and service, however, many other students go to a technical college as means of transfer to university, Since a tourism bussiness is predicted as a potential industry for the twenty-first century, besides a positive national economy and tourism business, the continuing and active supports and needed as follows First, An active support on tranning provided by tourism companies is required. Second, A continuos driving force and thorough management of job training by technical college and relevant major department are needed. Third, sutible traninging cost would be required. Forth, In order to achive a objectives and practical and effect ive job tranning, students majoring in tourism should enhance a service mind and manner.

• Steel and Composite Structures
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• 제35권6호
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• pp.779-788
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• 2020

Multi-Walled Carbon nanotubes (MWCNT) coupled with Silicone Rubber (SR) can represent applicable strain sensors with accessible materials, which result in good stretchability and great sensitivity. Employing these materials and given the fact that the combination of these two has been addressed in few studies, this study is trying to represent a low-cost, durable and stretchable strain sensor that can perform excellently in a high number of repeated cycles. Great stability was observed during the cyclic test after 2000 cycles. Ultrahigh sensitivity (GF>1227) along with good extensibility (ε>120%) was observed while testing the sensor at different strain rates and the various number of cycles. Further investigation is dedicated to sensor performance in the detection of human body movements. Not only the sensor performance in detecting the small strains like the vibrations on the throat was tested, but also the larger strains as observed in extension/bending of the muscle joints like knee were monitored and recorded. Bearing in mind the applicability and low-cost features, this sensor may become promising in skin-mountable devices to detect the human body motions.