• Journal of Electrical Engineering and information Science
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• v.2 no.6
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• pp.36-42
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• 1997

This paper presents a new design technique for performing high quality low bit rate image compression. A hybrid coder(HC) which combines Mean Removed Important Coefficient Selection based JPEG(MR-ICS-JPEG) and Adaptive Vector Quantization (AVQ) is proposed. A new quantization table is developed using the Important Coefficient Selection(ICS) method; the importance of each coefficient is determined using the orthonormal property of the DCT. This quantization table is applied to standard JPEG with mean removal(MR) strategy before processing. This scheme, called MR-ICS-JPEG, produces more than 2 dB enhanced performance in terms of PSNR over standard JPEG. A set of homogeneous codebooks is generated by homogeneous training vectors. Before compression, an image is uniformly divided into 8${\times}$8 blocks. Low detail regions such as backgrounds are roughly coded by AVQ while high detail regions such as edges or curves are finely coded by the proposed MR-ICS-JPEG. This hybrid coder procuces consistently about 3 dB improved performance in terms of PSNR over standard JPEG.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.46.2-46
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• 2002

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.641-648
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• 2001

A face detection in color images is important for many multimedia applications. It is first step for face recognition and can be used for classifying specific shorts. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.645-656
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• 2019

As the number of cyber threats to control systems increases, the need for control system cyber security is also increasing. Currently, various cyber security related education and control system education are being conducted. However, it does not fully reflect the characteristics of the control system and the characteristics of the participants. In this paper, we propose a training system and technique to enhance the control system cyber security capability. To this end, we analyze the limitations of existing security education. Based on the results, we develop a control system training environment model based on the IEC62443 Standard and develop an ARCH based training method.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.735-738
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• 2002

This paper a new simple PWM (Pulse Width Modulation) signal generation based on modified relaxation oscillator is introduced. Its advantages of the proposed principle are that the precise PWM signal can be easily achieved with a high frequency range up to several megahertz and a low-voltage power supply. The proposed circuit can accept either voltage or current modulating signal. It is very suitable for developing into Integrated Circuits (ICs) form in communication applications. The simulation and experimental results are also depicted, they shown good agreement with theoretical anticipation.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.271-283
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• 2017

The purpose of the study is to verify the effectiveness the preliminary Health Administrators' Social Problem Solving Competency(SPSC) through the application of the learner-centered program Convergence Design Thinking(CDT) conducted by undergraduate school of Intrapreneurship the integrated curriculum, and evaluation of SPSC improvement effect. A pre-post-questionnaire survey was carried out that started March to June 2016 among the forty-five second-year college students from the Health Administration Department who participated in the CDT during the 15 weeks training. The main results are as follows. CDT were positive influenced on the improvement of Negative problem orientation, Impulsive careless style(ICS) and Avoidance coping style of the preliminary Health Administrators' SPSC. Especially, female college student or the absence of working experience, it was effective on the improvement of ICS of the participants. This CDT program identified having positive effects on their participation, SPSC. To further improve SPSC, The development of integrated curriculum and application of creative teaching method like this CDT is highly recommended.