• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.5
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• pp.843-848
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• 2008

Most of face detection technique uses information from the face of the movement. The traditional face detection method is to use difference picture method ate used to detect movement. However, most do not consider this mathematical approach using real-time or real-time implementation of the algorithm is complicated, not easy. This paper, the first to detect real-time facial image is converted YCbCr and RGB video input. Next, you convert the difference between video images of two adjacent to obtain and then to conduct Glassfire Labeling. Labeling value compared to the threshold behavior Area recognizes and converts video extracts. Actions to convert video to conduct face detection, and detection of facial characteristics required for the extraction and use of AdaBoost algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.9
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• pp.1679-1686
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• 2007

Clustering is a topology control approach often used in wireless ad hoc networks to improve scalability and prolong network lifetime. Furthermore, it is also employed to provide semi-management functionalities and capacity enhancement. The usage of clustering topology control technique can also be applied to multi-radio wireless mesh network. This would utilize the advantages of the multi-radio implementation in the network. The aggregation would result to a more stable, connected, scalable and energy-efficient network. On this paper, we design a clustering algorithm for multi-radio wireless mesh network that would use these advantages and would take into consideration both mobility and heterogeneity of the network entities. We also show that the algorithm terminates at a definite time t and the message control overhead complexity is of constant order of O(1) per node.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.10
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• pp.1815-1821
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• 2008

Recently, Since growth of the ubiquitous computing environment and development of networking technology, User is a possible to connect the Internet out of constraints of time and space. Using RFID of core technique of ubiquitous computing, various application cases are increasing rapidly. In this paper, we propose design of the User-Centered Document Generation System which can makes several format of documents using RFID information stored in relational database. Our system can makes HTML file, EXCEL file and XML document file that provide for users over internet. Also, whenever user need to the document that can save easy and conveniently them on local computer and then is a possible to exploit them for other works.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.10
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• pp.1744-1750
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• 2008

As the computing and network technique move rm and spread widly, the usage of multimedia application becomes in general while the usage of text based application becomes low. Especially the application which treats the streaming media such as video or movie, one of multimedia data, holds a majority in the usage of computing. MPEG, one of the typical compression standard of streaming media, provides very high compression ratio so that general users could be close to the streaming media with easy usage. However, the encoding of MPEG requires lots of computing power and time. In the paper, we design and implement a parallel MPEG encoder with MPI in cluster envrionment to reduce the encoding time of MPEG.

• Journal of Power Electronics
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• v.19 no.6
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• pp.1496-1504
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• 2019

This paper proposes a new THD reduction algorithm for modular multilevel converters (MMCs) with offset voltage injection operated in nearest level modulation (NLM). High voltage direct current (HVDC) is actively introduced to the grid connection of offshore wind powers, and this paper deals with a voltage generation technique with an MMC for wind power generation. In the proposed method, third harmonic voltage is added for reducing the THD. The third harmonic voltage is adjusted so that each of the pole voltage magnitudes maintains a constant value with a maximum number of (N+1) levels, where N is the number of sub-modules per arm. By using the proposed method, the THD of the output voltage is mitigated without increasing the switching frequency. In addition, the proposed method has advantageous characteristics such as simple implementation. As a part of this study, this paper compares the THD results of the conventional method and the proposed method with offset voltage injection to reduce the THD. In this paper, simulations have been carried out to verify the effectiveness of the proposed scheme, and the proposed method is implemented by a HILS (Hardware in the Loop Simulation) system. The obtained results show agreement with the simulation results. It is confirmed that the new scheme achieved the maximum level output voltage and improved the THD quality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.887-890
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• 2009

To transmit information over a channel in the presence of noise, there needs some technique to code the information. One of the coding techniques used for error detection and correction close to the Shannon limit is Low Density Parity Code. LDPC and decoding characteristic features by sum-product algorithm are matched for the performance to Turbo Code, RA(Repeat Accumulate) code, in case of very long code length of LDPC surpass their performance. This paper explains LDPC coding scheme of image data and decoding scheme, implements LDPC decoder in FPGA.

• Journal of Magnetics
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• v.20 no.1
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• pp.79-85
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• 2015

This paper presents a comparative study of a Tubular Linear Machine (TLM) with an Axially Magnetized Single-sided Permanent Magnet (AMSPM) and an Axially Magnetized Double-sided Permanent Magnet (AMDPM) based on analytical field calculations. Using a two-dimensional (2-D) polar coordinate system and a magnetic vector potential, analytical solutions for the flux density produced by the stator windings are derived. This technique is significant for the design and control implementation of electromagnetic machines. The field solution is obtained by solving Maxwell's equations in the simplified boundary value problem consisting of the air gap and coil. These analytical solutions are then used to estimate the self and mutual inductances. Two different types of machine are used to verify the validity of these model simplifications, and the analytical results are compared to results obtained using the finite element method (FEM) and experimental measurement.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.672-675
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• 2012

음성은 가장 익숙하고 편리한 의사 소통 수단으로 스마트폰과 같이 크기가 작은 모바일 기기의 입력 인터페이스로 적합하다. 서버 기반의 음성 인식은 서버를 방문하는 다양한 사용자들을 대상으로 음성 모델을 구축하기 때문에 음성 인식률을 높일 수 있고 상용화가 가능하다. 구글 음성인식, 아이폰의 시리(SiRi)가 대표적인 예이며 최근 스마트폰 사용자의 증가로 이에 대한 수요가 급증하고 있다. 서버 기반 음성 인식 기법에서 음성 인식은 스마트폰과 인터넷으로 연결되어 있는 원격지 서버에서 이루어진다. 따라서, 사용자는 스마트폰에 저장된 음성 데이터를 인터넷을 통하여 음성 인식 서버로 전달해야 된다[1, 2]. 음성 데이터는 사용자 고유 정보를 가지고 있으므로 개인 인증 및 식별을 위한 용도로 사용될 수 있으며 음성의 톤, 음성 신호의 피치, 빠르기 등을 통해서 사용자의 감정까지도 판단 할 수 있다[3]. 서버 기반 음성 인식에서 네트워크로 전송되는 사용자 음성 데이터는 제 3 자에게 쉽게 노출되기 때문에 화자의 신분 및 감정이 알려지게 되어 프라이버시 침해를 받게 된다. 본 논문에서는 화자의 프라이버시를 보호하기 위하여 사용자 음성 데이터로부터 개인의 고유 특징 및 현재 상태를 파악할 수 있는 감정 정보를 제거하는 기법을 설계 및 구현하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.709-718
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• 2019

A lightweight block cipher CHAM designed for suitability in resource-constrained environment has reasonable security level and high computational performance. Since this cipher may contain intrinsic weakness on side channel attack, it should adopt a countermeasure such as masking method. In this paper, we implement the masked CHAM cipher on 32-bit microprosessor Cortex-M3 platform to resist against side channel attack and analyze their computational performance. Based on the shortcoming of having many round functions, we apply reduced masking method to the implementation of CHAM cipher. As a result, we show that the CHAM-128/128 algorithm applied reduced masking technique requires additional operations about four times.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.51-57
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• 2018

In this paper, we studied about the extraction of the parameter and implementation of speechreading system to recognize the Korean 8 vowel. Face features are detected by amplifying, reducing the image value and making a comparison between the image value which is represented for various value in various color space. The eyes position, the nose position, the inner boundary of lip, the outer boundary of upper lip and the outer line of the tooth is found to the feature and using the analysis the area of inner lip, the hight and width of inner lip, the outer line length of the tooth rate about a inner mouth area and the distance between the nose and outer boundary of upper lip are used for the parameter. 2400 data are gathered and analyzed. Based on this analysis, the neural net is constructed and the recognition experiments are performed. In the experiment, 5 normal persons were sampled. The observational error between samples was corrected using normalization method. The experiment show very encouraging result about the usefulness of the parameter.