• Journal of Korea Game Society
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• v.12 no.3
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• pp.59-68
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• 2012

This paper describes the design and implementation of a network-adaptive N-screen game system to be used in cloud computing. The system we are considering needs to generate game video in a cloud server and transmit the video to multiple game devices over an in-home wireless network via a home game server. It is difficult to support multiple screens which have different resolutions with a single bitstream of game video. Therefore, we developed a new network-adaptive game-video extraction and transmission method using (1) scalable video coding and (2) Raptor code techniques. The simulation, conducted with real game-video, verified the efficiency of the proposed video streaming system.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.12 no.3
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• pp.397-406
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• 1999

A new solution procedure for approximate reanalysis, using the staged hybrid methods with substructuring, is proposed in this study. Displacements are calculated with two step mixed procedures. First step is to introduce the conservative approximation, which is a hybrid form of the linear and reciprocal approximation, as local approximation. In the next step, it is combined with the global approximation by reduced basis approach. Stresses are evaluated from the displacements by matrix transformation. The quality of reanalyzed quantities can be greatly improved through these staged hybrid approximations, specially for large changes in the design. Overall procedures are based on substructuring scheme. Several numerical examples illustrate the validity and effectiveness of the proposed methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.3
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• pp.101-109
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• 2004

In this paper, we propose an efficient algerian for wavelet-based sti image coding method that utilizes the rate-distortion (R-D) theory. Since conventional tree-structured image coding schemes do not consider the rate-distortion theory properly, they show reduced coding performance. In this paper, we apply an rate-distortion optimized embedding (RDE) operation into the set partitioning in hierarchical trees (SPIHT) algorithm. In this algorithm, we use the rate-distortion slope as a criterion for the coding order of wavelet coefficients in SPIHT lists. We also describe modified set partitioning and rate-distortion optimized list scan methods. Experimental results demonstrate that the proposed method outperforms the SPIHT algorithm and the rate-distortion optimized embedding algerian with respect to the PSNR (peak signal-to-noise ratio) performance.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.118-126
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• 2003

This paper presents a low-complexity algorithm lot browsing a HD bit stream in DTV PVR according to its characteristics and also presents its implementation results. We propose an efficient algorithm which detects shots using some information after decoding MPEG-2 data, clusters them into scene and episode, and intelligently browses them according to some criteria after calculating their complexity. Some simulation results are presented to show the performance feasibility of the proposed algorithm. To implement it in real time, we propose an efficient hybrid architecture which partitions the algorithm into two parts of hardware and software. The hardware covers decoding process and extraction of some basic information which take most complexity in implementing the algorithm. The software covers the heuristic part of tile algorithm which has low complexity and needs to be expandable.

• Proceedings of The KACE
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• 2017.08a
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• pp.201-204
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• 2017

빅 데이터의 시대가 도래하면서 이전보다 데이터로부터 유의미한 정보를 추출하는 것에 대한 연구가 활발하게 진행되고 있다. 딥러닝은 텍스트, 이미지, 동영상 등 다양한 데이터에 대한 학습을 가능하게 할 뿐만 아니라 높은 학습 정확도를 보임으로써 차세대 머선러닝 기술로 각광 받고 있다. 그러나 딥러닝은 일반적으로 학습해야하는 데이터가 많을 뿐만 아니라 학습에 요구되는 시간이 매우 길다. 또한 데이터의 전처리 수준과 학습 모델 튜닝에 의해 학습정확도가 크게 영향을 받기 때문에 활용이 어렵다. 딥러닝에서 학습에 요구되는 데이터의 양과 연산량이 많아지면서 분산 처리 프레임워크 기반 분산 학습을 통해 학습 정확도는 유지하면서 학습시간을 단축시키는 사례가 많아지고 있다. 본 연구에서는 범용 분산 처리 프레임워크인 아파치 스파크에서 데이터 병렬화 기반 분산 학습 모델을 활용하여 모바일 빅 데이터 분석을 위한 딥러닝을 구현한다. 딥러닝을 구현할 때 분산학습을 통해 학습 속도를 높이면서도 학습 정확도를 높이기 위한 모델 튜닝 방법을 연구한다. 또한 스파크의 분산 병렬처리 효율을 최대한 끌어올리기 위해 파티션 병렬 최적화 기법을 적용하여 딥러닝의 학습속도를 향상시킨다.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.461-469
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• 2016

A novel steganography based on ternary BCH code with t = 2 is presented in this paper. Proposed method utilizes powerful BCH code with t = 2 for data hiding to the DCT coefficients from JPEG images. The presented data hiding technique uses a proposed look up table approach for searching multiple solutions for ternary BCH code with t = 2. The proposed look up table approach enables fast and efficient search for locations of DCT coefficients, which are necessary to modify for hiding data. Presented data hiding technique is the first steganography technique based on ternary BCH code. Experimental results clearly indicate advantages of using ternary BCH compared to binary BCH.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.7C
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• pp.663-670
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• 2009

In this paper, we propose the image encryption method which gradually uses NFSR(Non-linear Feedback Shift Register) and 20 CAT(Two-Dimensional Cellular Automata Transform). The encryption method is processed in the following order. First, NFSR is used to create a PN(pseudo noise) sequence, which matches the size of the original image. Then, the created sequence goes through a XOR operation with the original image and process the encipherment. Next, the gateway value is set to produce a 20 CAT basis function. The produced basis function is multiplied by encryption image that has been converted to process the 20 CAT encipherment. Lastly, the results of the experiment which are key space analysis, entropy analysis, and sensitivity analysis verify that the proposed method is efficient and very secure.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.489-492
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• 2000

본 논문에서는 영상 항법 변수 추출 알고리듬의 실시간 구현에 관해 연구하였다. 영상 항법 변수 추출 알고리듬은 이전 위치를 기준으로 현재 위치를 추정해내는 상대위치 추정 알고리듬과 상대위치 추정에 의해 누적되는 오차를 보정하기 위한 절대위치 보정 알고리듬으로 구성된다. 절대위치 보정 알고리듬은 고해상도 영상과 IRS (Indian Remote Sensing) 위성영상을 기준영상으로 이용하는 방법 및 DEM (Digital Elevation Model) 을 이용하는 방법으로 구성된다. 하이브리드 영상 항법 변수 추출 알고리듬을 실시간으로 구현하기 위해 MVP (Multimedia Video Processor)로 명명된 TMS320C80 DSP (Digital Signal Processor) 칩을 사용하였다. 구현된 시스템은 MVP의 부동 소수점 프로세서인 MP (Master Processor) 를 고정 소수점 프로세서인 PP (Parallel Processor) 를 제어하거나 삼각함수 계산과 같은 부동 소수점 함수를 계산하는데 사용하였고, 대부분의 연산은 PP를 사용하여 수행하였다. 처리시간이 많이 필요한 모듈에 대해서는 고속 알고리듬을 개발하였고, 4개의 PP를 효율적으로 사용하기 위한 영상분할 방법에 대해 제안하였다. 비행체에서 캡코더를 이용해 촬영한 연속 항공 영상과 비행체의 자세정보를 입력으로 실시간 시뮬레이션 하였다. 실험결과는 하이브리드 항법 변수 추출 알고리듬의 실시간 구현이 효과적으로 구현되었음을 나타내고 있다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.15 no.7
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• pp.669-676
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• 2004

In this paper, a new algorithm is proposed for resolving multiple broadband incoherent sources incident on a uniform linear array. The proposed method dose not require any initial estimates for finding the transformation matrix, while the Coherent Signal-Subspace Method(CSM) proposed by Wang and Kaveh requires preliminary estimates of multigroup source location. An effective procedure is derived for finding the enhanced spectral density matrix at the center frequency using signal enhancement approach and then constructing a common signal subspace by selecting a unitary transformation matrix which is obtained via rotation of signal subspace method. The proposed approach is found to provide superior performance relative to that obtained with the CSM method in terms of sample bias of direction-of-arrival estimates.

• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.251-256
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• 2005

Today's port system,; require larger and faster operation of transfer cranes in order to accommodate rapidly increasing traffic. These cranes need precise control of their components for operational efficiency. This paper presents an IEEE 1451 based smart module that allows numerous sensors and actuators of the crane to attach themselves to various networks more easily. The smart module has been experimentally evaluated on a CAN network for its performance.