• The Transactions of the Korean Institute of Electrical Engineers C
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• v.53 no.10
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• pp.530-538
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• 2004

A electromagnetic waves are used for sensing in insulation diagnosis at electric machine or equipment. When it a method, waves are transformed into the FFT(Fast Fourier Transform); a kind of the process for data transformation. In a general way, a scientist use frequncy band 30[㎒]～l[㎓] to applied field. If we are measured high frequency band, we will need to a high capacity hardware. Also a antenna has a fault on atmospheric phenomena, outside environment and the like. In this paper We proposed new method for detecting electric equipment faulty state using only electric voltage which is generally measured in the electric and electronic field. It is called the Partition-FFT The analytic method is this first divide measured voltage waves into equal parts, second each deal with give effect to the FFT, finally each results deal with a graphic method and gather graphic. We are compare Partition-FFT with discharge form by tracking tester. As the result it demonstrated that the Partition-FFT is applicable.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.856-858
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• 2001

지적 재산권 보호 중에서 디지털 저작물 보호는 근래에 활발히 연구되고 있으며 법 과학 분야는 지문감식, 치아감정, DNA 등 많은 분야가 있다. 법과학 분야 중 법적용 컴퓨팅(Forensic Computing)에 관한 응용은 새로운 연구 과제이다. 그 중에서도 디지털 저작물에 대하여 증거를 보전 하고자 많은 연구가 진행되고 있지만 디지털 저작물에 관하여 네트워크를 통한 능동적 저작물 보호는 미약하다. 현재의 데이터 추출(Extraction), 발굴(Exploitation), 복구, 암호 해독, 패스워스 풀기(Defeat), 미러 이미징 등의 방법 가지고 해결 못하는 경우와 인터넷 상에서 온라인으로 이루어지는 불법 복제에서 결정적 기여(smoking gun)를 찾아내려고 하는 것이 본 논문에서 해결 하고자 하는 부분이다. 오프라인일 경우도 가능하며 분석된 결과는 변호사/대리인, 법인, 보험회사, 법집행관 등에게 온라인으로 제공한다. 진행 과정은 서버에서 파견시킨, 미션을 부여받은 에이전트가 저작물 불법 복제 상황을 트래킹 한 후, 네트워크를 통하여 정해진 시간별로 서버에 전달하면, 법 조항과 매핑시켜서 분석한 다음 서버의 지식베이스에 저장되어 사용자의 요구에 응하는 능동형 디지털 저작물 보호 관리 시스템이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.1
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• pp.9-16
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• 2016

Since most of devices in the IEEE 802.15.4 LR-WPAN are expected to operate on batteries, they must be designed to consume energy in a very conservative way. Two energy conservation algorithms are proposed for the LR-WPAN: DDC (Dynamic Duty Cycle) and DBT (Dynamic Beacon Tracking). The DDC algorithm adjusts duty cycle dynamically depending on channel conditions. The DBT algorithm switches beacon tracking mode on and off adaptively depending on traffic conditions. Combining the two algorithms reduces energy consumption more efficiently for a wide range of input loads, while maintaining frame delivery ratio and average delay at satisfactory levels.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.1
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• pp.38-46
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• 1992

In this thesis, a high speed code synchronization circuit is implemented, which is applicable to frequency hopping FSK tranceiver within 68-88 MIBz band- width. synchronization Process consists of two steps, initial synchronization and tracking. A modified matched filter method using two channel passive correlators matched with short hopping frequencies, synchronization prcfix. is proposed for initial synchronization. To increase probability of initial synchronization, prefix are transmitted repeatedly. The outputs of correlators are sent to synchronization decision circuit, and code start time Is extracted by synchronizatlon decision circuit-Modified matched fitter method makes it possible to reduce complexity in hardware and obtain code acquisition rapidly.Clock recovery circuit regenerates PN code clock for tracking.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.4
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• pp.787-795
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• 1998

In this paper, we have improved the speed of gradient operation, which needs to calculate Optical Flow for estimating a moving object, and proposed a method which estimate the contour of a moving object by the logical operationg of Optical Flow and edge in noisy images. The proposed method, which recognize to a moving ogject and traking a moving object, using logical operation of Optical Flow and edge in low-level has a advantage that is simpler than the known method for moving objects estimation. In addition, we have simulated several images using method I and method II on improved Gradient operation speed. When we have compared the average value of total operation time, method I is improved with 12% of operation speed compared with the known method, method II is improved with 38% operation speed.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.433-436
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• 2001

지적 재산권 보호 중에서 디지털 상거래에서 가장 절실한 저작물 보호는 근래에 활발히 연구되고 있으며 법 과학 분야는 지문감식, 치아감정 DNA 등 많은 분야가 있다. 그러나 법과학 분야중 법적용 컴퓨팅(Forensic Computing)에 관한 응용은 아직 부족한 상태이다. 그중에도 디지털 저작물에 대하여 증거를 보전 하고자 많은 연구가 진행 되고 있지만 디지털 저작물에 관하여 네트워크를 통한 능동적 저작물 보호는 미약하다. 현재의 데이터 추출(Extraction), 발굴(Exploitation), 복구, 암호 해독, 패스워스 풀기(Defeat), 미러 이미징등의 방법 가지고 해결 못하는 경우와 인터넷 상에서 온라인으로 이루어지는 불법 복제에서 결정적 기여(smoking gun)를 찾아내려고 하는 것이 본 논문에서 해결 하고자 하는 부분이다. 오프라인일 경우도 가능하며 분석된 결과는 변호사/대리인, 법인, 보험회사, 법집행관등에게 온라인으로 제공한다. 진행 과정은 서버에서 파견시킨, 미션을 부여받은 에이전트가 저작물 불법 복제 상황을 트래킹 한 후, 네트워크를 통하여 정해진 시간별로 서버에 전달하면, 법 조항과 매핑시켜서 분석한 다음 서버의 지식베이스에 저장되어 사용자의 요구에 응하는 능동형 디지털 저작물 보호 관리 시스템이다.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.64-73
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• 2000

The Korean character recognition technology for user interface in multimedia terminal requires fast processing time and high recognition rate. In this paper, we propose an phoneme and character recognition technology which uses characteristic information of korean and features of input strokes, i.e, feature point, feature vector, virtual vector, position relation between strokes. And, a recognition both phoneme and character by the various writing types of users uses korean database. The Korean database has been constructed by the characteristic information of korean and phoneme models which have various stroke information. Also, we use successive processing by the position relation between strokes and backtracking processing by the modification processing of stroke numbers which composed of each phoneme. This method reduces the complex processing of phoneme separation. The proposed on-line korean character recognition system has obtained 13msec average character processing time and correct recognition rate more than $95{\%}$ In a recognition experiment, where we tested 600 characters written by 10 people among 1,200 words.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.159-167
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• 2009

With the increase of weight and influence of TV drama, many researchers began to publish papers on TV drama. However, those papers were mainly focused on social meaning and viewing motives and attitudes of TV audience. However, only a few papers researched about television image production techniques, such as 'Relationship between TV ratings and image production techniques', 'Transition process of TV drama's image production techniques', and 'Comparison of TV and film image production techniques'. According to the recent research on the relationship between TV ratings and image production techniques, TV rating is inverse proportionate to multiple camerawork and shot average duration with a very close relationship. The purpose of this thesis is to analyse the relationship between TV genre and image production technique with the data of top 100 of TNS Media Korea from the year 2004 to 2008. This paper found out that history drama uses more closeup, longshot, tracking and less waist shot than other genres, with shorter shot duration and longer scene duration.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.181-188
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• 2009

With the question, "What would be the difference between TV drama image production techniques under the changing circumstances of domestic broadcasting faced with multi-media, multi-channel age after 1980' s press unification and establishment of two times commercial TV stations?" This study analysed image production techniques of three periods of TV drama development, 'TV drama maturity period(1981-1990)', 'TV drama transition period(1991-2000)', 'TV drama take-off period(2001-)'. For the image analysis within the genre of home drama, 3 dramas for each period were selected and analysed cameraworks, shot size, shot duration with the broadcasting station's DVD, homepage and manuscript. The result of this analysis revealed that the change of shot size was slight but the change of cameraworks was great, the usage of zoom and tilt diminished but the usage of dolly and track increased. and the average shot duration drastically diminished during the take-off period. These results show us that broadcasting production equipments developed during the periods, and broadcasting stations poured all-out efforts for the higher viewing rates and international competitiveness.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.243-248
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• 2013

This paper proposes an effective method using Adaptive Boosting to track a person's head in complex background. By only one way to feature extraction methods are not sufficient for modeling a person's head. Therefore, the method proposed in this paper, several feature extraction methods for the accuracy of the detection head running at the same time. Feature Extraction for the imaging of the head was extracted using sub-region and Haar wavelet transform. Sub-region represents the local characteristics of the head, Haar wavelet transform can indicate the frequency characteristics of face. Therefore, if we use them to extract the features of face, effective modeling is possible. In the proposed method to track down the man's head from the input video in real time, we ues the results after learning Harr-wavelet characteristics of the three types using AdaBoosting algorithm. Originally the AdaBoosting algorithm, there is a very long learning time, if learning data was changes, and then it is need to be performed learning again. In order to overcome this shortcoming, in this research propose efficient method using cascade AdaBoosting. This method reduces the learning time for the imaging of the head, and can respond effectively to changes in the learning data. The proposed method generated classifier with excellent performance using less learning time and learning data. In addition, this method accurately detect and track head of person from a variety of head data in real-time video images.