• Journal of the korean Society of Automotive Engineers
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• v.10 no.2
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• pp.23-38
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• 1988

자동차정비기술 및 기능숙련을 보다 빨리 함양시키기 위한 방법중 필요한 작업시간을 최대로 유지시키고 평소 작업시간에 지장이 없는 상태에서 어떻게 하면 효율적인 교육훈련을 실시할 수 있느냐가 바로 문제의 핵심이라 하겠다. 그러므로 본 연구는 이러한 점에 착안하여 자동차정비사업체에 종사하고 있는 정비기능사에 대한 직장내교육훈련(OJT)제도운영실태를 분석하여 애로사항과 문제점에 대한 대책을 수립하여 자동차정비사의 기술능력향상을 위한 OJT제도 운영개선방향을 제시함을 목적으로 하였다.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.440-449
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• 2019

Purpose: Fire-fighting organizations are the very first agencies that take actions at a disaster scene, and emergency rescue training is carried out for prompt and systematic response. However, there is a need for a change due to the limitations in emergency rescue trainings such as perfunctory trainings or trainings without considering regional or environmental characteristics. Method: This study is to conduct theoretical review with regard to emergency rescue training and present a measure to improve the emergency rescue training through attitude survey targeting fire-fighting organizations in Gangwon area. Result: Facilities that cause difficulties when doing emergency rescue activity were mostly hazardous material storage and processing facilities. In terms of the level of emergency rescue and response task, most respondents answered that the emergency rescue was insufficient. The respondents answered that the effectiveness of emergency rescue training was helpful, but some responses showed that the training was not helpful because of scenario-based training, seeming training, similar training carried out every year, unrealistic training, and lack of competent authorities' interest and perfunctory participations. Most respondents answered for the appropriateness of emergency rescue training and evaluation that they were satisfied, however, they were not satisfied with the evaluation methods irrelevant to the type of training, evaluation methods requiring unnecessary training scale, and evaluation methods leading perfunctory participations of competent authorities. Lastly, respondents mostly answered that training reflecting various damage situations are necessary regarding the demand on the improvement of emergency rescue training. Conclusion: The improvement measures for emergency rescue training are as follows. First, it is necessary to set and prepare various training contents in accordance with regional characteristics by reviewing major disasters occurred in the region. Second, it is necessary to revise the emergency rescue training guidelines and manuals for appropriate training plan for each fire station, provide education and training for working-level staff members, and establish training in a way that types, tactics, and strategies of emergency rescue training could be utilized practically. Third, it is necessary to prepare a scheme that can lead participation and provide incentive or penalty from the planning stage of training in order to increase the participation of supporting and competent authorities when an actual disaster occurs. Fourth, it is necessary to establish support arrangements and cooperative systems by authority through training by fire stations or zones in preparation for disaster situations that may occur simultaneously. Fifth, it is necessary to put emphasis on the training process rather than the result for emergency rescue training and evaluation, pay attention to the identification of supplement points for each disaster situation and make improvements. Especially, type or form of training should be considered rather than evaluating the execution status of detailed processes, and the evaluation measure that can consider the completeness (proficiency) of training and the status of role performance rather than the scale of training should be prepared. Sixth, type and method of training should be improved in accordance with the characteristics of each fire station by identifying the demand of working-level staff members for an efficient emergency rescue training.

• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.91-101
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• 2001

It has been shown that the multiple trees predictors are more accurate in reducing test set error than a single tree predictor. There are two ways of generating multiple trees. One is to generate modified training sets by resampling the original training set, and then construct trees. It is known that arcing algorithm is efficient. The other is to perturb randomly the working split at each node from a list of best splits, which is expected to generate reasonably good trees for the original training set. We propose a new combined multiple regression trees predictor which uses the latter multiple regression tree predictor as a predictor based on a modified training set at each stage of arcing. The efficiency of those prediction methods are compared by applying to high throughput screening of chemical compounds for biological effects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.574-577
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• 2002

In this paper, we propose a new symbol time synchronization scheme suitable for the OFDM system with an interpolator. The proposed performs the following three steps. In the first step, the coarse symbol time synchronization is achieved by continuously measuring the average power of the received envelope signal. Based on this average power, the detection possibility for the symbol time synchronization is determined. If the signal is sufficient for synchronization, we next perform a relatively accurate symbol time synchronization by measuring the correlation a short training signal and the received envelope signal. Finally, an additional frequency synchronization is performed with a long training signal to correct symbol synchronization errors caused by the phase rotation. From the simulation results, one can see that the proposed synchronization scheme provides a good synchronization performance over frequency selective channels.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.405-417
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• 2022

Purpose: As an administrative organization that directly affects the safety and livelihood of the people, local governments are important to ensure the continuity of key functions in the event of a disaster. The purpose of this study is to review effective methods for establishing and implementing a continuity of operations plan to protect and maintain the key functions of local governments. Method: In order to improve the inefficiency of the ISO22301-based continuity of operation plan, applying the organizational-oriented functional continuity method and set up the planning method, key functions, required resources, and basic education and training forms, and apply to local governments and review their feasibility. Result: The proposed organization-oriented continuity of operation plan preparation method reflects the characteristics of bureaucratic local governments and makes it easy to prepare and apply in practice. Conclusion: Compared to the private sector, in the public sector, where work is organization-oriented, it can be a more efficient way to fully reflect the organizational point of view in establishing a continuity of Opertaions plan.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1191-1194
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• 2022

인터넷의 발전으로 수많은 이미지와 비디오를 손쉽게 이용할 수 있게 되었다. 이미지와 비디오 데이터의 양이 기하급수적으로 증가함에 따라, JPEG, HEVC, VVC 등 이미지와 비디오를 효율적으로 저장하기 위한 부호화 기술들이 등장했다. 최근에는 인공신경망을 활용한 학습 기반 모델이 발전함에 따라, 이를 활용한 이미지 및 비디오 압축 기술에 관한 연구가 빠르게 진행되고 있다. NNIC (Neural Network based Image Coding)는 이러한 학습 가능한 인공신경망 기반 이미지 부호화 기술을 의미한다. 본 논문에서는 NNIC 모델과 인공신경망 기반의 초해상화(Super Resolution) 모델을 합동훈련하여 기존 NNIC 모델보다 더 높은 성능을 보일 수 있는 방법을 제시한다. 먼저 NNIC 인코더(Encoder)에 이미지를 입력하기 전 다운 스케일링(Down Scaling)으로 쌍삼차보간법을 사용하여 이미지의 화소를 줄인 후 부호화(Encoding)한다. NNIC 디코더(Decoder)를 통해 부호화된 이미지를 복호화(Decoding)하고 업 스케일링으로 초해상화를 통해 복호화된 이미지를 원본 이미지로 복원한다. 이때 NNIC 모델과 초해상화 모델을 합동훈련한다. 결과적으로 낮은 비트량에서 더 높은 성능을 볼 수 있는 가능성을 보았다. 또한 합동훈련을 함으로써 전체 성능의 향상을 보아 학습 시간을 늘리고, 압축 잡음을 위한 초해상화 모델을 사용한다면 기존의 NNIC 보다 나은 성능을 보일 수 있는 가능성을 시사한다.

• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.299-305
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• 2018

Perception refers to the process of acquiring all the information about the environment through various sensory organs such as the visual, auditory, tactile, and olfactory senses and integrating and interpreting the information transmitted to the brain. The ability to use these perceptions efficiently is called perceptual skill, and perceptual skill is an important factor for improving performance in the field of sports. As a result, many researchers have developed various perceptual training programs to maximize these perceptual skills while they have also progressed on attempting to verify their effects. The perceptual skill training introduced in this study is a training method that focuses on visual perception and is a training method that is applied in the United States and Europe. to improve sports performance. As a result of carrying out the perceptual skills training based on the kicker's important clue (the kicker's hip - the angle of the body and foot before kicking) to the goalkeeper in the situation of a soccer penalty kick improved the ability of predicting the direction of the ball while even in tennis, carrying out the perceptual skills training based on the server's important clue (position, ball, racket) improved the accuracy of the ability to predict in the direction of serve. Recently, there have been numerous research studies that were carried out on such perceptual skills training, but the number of studies conducted are insufficient, especially in Korea where research studies on perceptual training seem to be in a relatively neglected state. In addition, extensive studies need to be carried out to investigate whether the improvement of perceptual skills in the laboratory situation can be transitioned to an actual performance situation. Therefore, in order to elevate sports performance, researchers need to examine the perceptual training program's extent of necessity as well as the research direction regarding its effects.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.39-45
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• 2020

Despite the increasing interest in cyber security in recent years, the emergence of new technologies has led to a shortage of professional personnel to efficiently perform the cyber security. Although various methods such as cyber rage are being used to cultivate cyber security experts, there are problems of limitation of virtual training system, scenario-based practice content development and operation, unit content-oriented development, and lack of consideration of learner level. In this paper, we develop a fuzzy rule-based user-customized training scenario automatic generation system for improving user's ability to respond to infringement. The proposed system creates and provides scenarios based on advanced persistent threats according to fuzzy rules. Thus, the proposed system can improve the trainee's ability to respond to the bed through the generated scenario.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.71-82
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• 2012

In this paper, we propose a license plate detection method with improved Adaboost learning and MCT (Modified Census Transform). The MCT represents the local structure patterns as integer numbered feature values which has robustness to illumination change and memory efficiency. However, since these integer values are discrete, a lookup table is needed to design a weak classifier for Adaboost learning. Some previous research efforts have focused on minimization of exponential criterion for Adaboost optimization. In this paper, a method that uses MCT and improved Adaboost learning based on Newton's optimization to exponential criterion is proposed for license plate detection. Experimental results on license patch images and field images demonstrate that the proposed method yields higher performance of detection rates with low false positives than the conventional method using the original Adaboost learning.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1706-1708
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• 2013

최근 규칙적인 수면을 이루지 못해 수면장애를 호소하는 사람들이 좌시하기 어려울 정도로 늘어나고 있는 추세이다. 수면장애 치료를 위한 보편적인 방법은 수면제 투여이나, 약물의 지속적인 투여로 인해 약물의 내성 및 의존성 등의 부작용이 일어날 수 있다. 따라서 근래에는 비약물적인 인지행동치료(Cognitive Behavior Therapy)를 통해 환자가 스스로 자신의 상태를 이완시킬 수 있는 훈련을 제공하고 있다. 하지만 치료를 위해서는 병원과 환자 모두 많은 시간과 비용이 든다는 문제점이 있다. 따라서 본 논문에서는 환자 혼자서도 바이오피드백 훈련이 가능하도록 하는 시스템을 제안한다. 이 시스템을 통해 좀 더 효율적인 수면장애 치료를 기대할 수 있다.