• 한국콘텐츠학회논문지
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• 제2권1호
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• pp.86-97
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• 2002

본 논문에서는 먼저 국제 표준화기구인 ITU-T G.805의 계층화와 분할화 개념을 근간으로 초고속정보통신망 관리모델을 제시한다. 그리고 초고속정보통신망에서의 VP와 VC에 대한 구성 정보모델과 장애를 관리하기 위한 정보모델을 기술한다. 효율적인 장애를 관리하기 위해서 여기서는 두 가지종류로 알람을 구분하였다. 하나는 제공 중인 서비스에 직접적인 영향을 줄 수 있는 장애성 알람과 서비스에는 직접적으로는 영향을 주지 않는 경보성 알람으로 나누었다. 그리고 이들 알람을 처리하기 위해 장애성 알람처리 시스템과 경보성 알람처리 시스템에 대한 두 가지 연산모델을 제안한다. 또한 장애가 발생하였을 경우, 알람을 처리하는 절차에 대해서 기술하고 장애가 발생한 VP와 VC연결에 대한 연결 재설정 시 NMS와 SubNMS의 처리 범위와 처리과정에 대해서 기술한다. 끝으로 제안된 장애성 알람처리 시스템을 구현하고 알람 발생율에 따라 우선순위별 알람처리 시간을 비교한다.

• IEIE Transactions on Smart Processing and Computing
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• 제5권4호
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• pp.235-242
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• 2016

The emerging High-Efficiency Video Coding (HEVC) standard attempts to improve coding efficiency by a factor of two over H.264/Advanced Video Coding (AVC) at the expense of an increase in computational complexity. Mode decision with motion estimation (ME) is still one of the most time-consuming computations in HEVC, as it is with H.264/AVC. Thus, fast mode decisions are not only an important issue to be researched, but also an urgent one. Several schemes for fast mode decisions have been presented in reference software and in other studies. However, the conventional hierarchical mode decision can be useless when block-level parallelism is exploited. This paper proposes operation-level exploration that offers more chances for early termination. An early termination condition is checked between integer and fractional MEs and between the parts of one partition type. The fast decision points of the proposed algorithm do not overlap those in previous works. Thus, the proposed algorithms are easily used with other fast algorithms, and consequently, independent speed-up is possible.

• 한국정보통신학회논문지
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• 제18권2호
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• pp.329-334
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• 2014

본 논문에서는 4가지의 TU를 동일한 사이클에 처리하는 고성능 다중모드 2D 변환기의 하드웨어 구조를 제안한다. HEVC의 변환 기술은 고해상도, 고화소의 영상을 높은 효율로 압축하기 위해 4가지의 화소 단위 TU를 지원하여 각각의 변환 연산을 수행한 후 최적의 모드를 찾는다. 제안하는 변환기는 변환 행렬 계수들 간의 관계를 분석하여 공통 연산기를 사용한 구조로 설계하여 4가지의 TU 모드 행렬 연산을 처리하는 사이클 수가 동일하게 35cycle로 처리된다. TSMC 018nm CMOS 공정 라이브러리를 사용해 합성한 결과 $4k(3840{\times}2160)@30fps$의 영상을 기준으로 최대 동작주파수는 400MHz이고 총 게이트 수는 214k가 소요되었으며, 10-Gpels/cycle의 처리량을 갖는다.

• Journal of Communications and Networks
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• 제18권5호
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• pp.725-734
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• 2016

For multi-mode radar signals in complex electromagnetic environment, different modes of one emitter tend to be deinterleaved into several emitters, called as "extension", when processing received signals by use of existing sorting methods. The "extension" problem inevitably deteriorates the sorting performance of multi-mode radar signals. In this paper, a novel method based on spatial data mining is presented to address above challenge. Based on theories of data field, we describe the distribution information of feature parameters using potential field, and makes partition clustering of parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud model membership is established to measure the relevance between different cluster-classes, which provides important spatial knowledge for the solution of the "extension" problem. It is shown through numerical simulations that the proposed method is effective on solving the "extension" problem in multi-mode radar signal sorting, and can achieve higher correct sorting rate.

• 한국정보처리학회논문지
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• 제2권4호
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• pp.561-566
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• 1995

동기식통신망에 장애가 발생하여 각 노드내의 클럭들이 서로 다른 주파수로 동작 되는 비정상적인 모드에서는 클럭간의 위상차가 급격하게 변화한다.야 그러므로 데이 터가 노드를 통하여 전송될 때 노드클럭간의 이러한 위상시간차를 보정하여 주기 위하 여 각 노드에서 포인터조정이 빈번하게 행하여지며 이 과정에서 비교적 높은 주파수의 지터가 발생한다. 포인터조정이 여러번 연속적으로 행하여지면 발생되는 지터는 축적 되어 그 크기가 점점 더 증가한다. 연속적으로 연결된 포인터조정시스템에서 발생되는 지터를 컴퓨터 시뮬레이션을 이용하여 분석하였으며 하드웨어 시뮬레이터에서 측정된 결과와 비교하였다.

• Journal of Information Processing Systems
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• 제7권1호
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• pp.29-42
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• 2011

Wireless sensor networks are composed of a large number of sensor nodes with limited energy resources. One critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way, since their energy is limited. The clustering algorithm is a technique used to reduce energy consumption. It can improve the scalability and lifetime of wireless sensor networks. In this paper, we introduce a clustering protocol with mode selection (CPMS) for wireless sensor networks. Our scheme improves the performance of BCDCP (Base Station Controlled Dynamic Clustering Protocol) and BIDRP (Base Station Initiated Dynamic Routing Protocol) routing protocol. In CPMS, the base station constructs clusters and makes the head node with the highest residual energy send data to the base station. Furthermore, we can save the energy of head nodes by using the modes selection method. The simulation results show that CPMS achieves longer lifetime and more data message transmissions than current important clustering protocols in wireless sensor networks.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.366-373
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• 2016

This paper proposes a pre-processing algorithm to improve the coding efficiency of perceptual video coding. First, an input image is decomposed into multiple sub-bands through linear sub-band decomposition. Then, the sub-bands that have low visual sensitivity are suppressed by assigning small gains to them. Experimental results show that if the proposed algorithm is adopted for pre-processing in a High Efficiency Video Coding (HEVC) encoder, it can provide significant bit-saving effects of approximately 12% in low delay mode and 9.4% in random access mode.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권4호
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• pp.1441-1456
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• 2015

The bidimensional empirical mode decomposition (BEMD) algorithm with high adaptability is more suitable to process multiple image fusion than traditional image fusion. However, the advantages of this algorithm are limited by the end effects problem, multiscale integration problem and number difference of intrinsic mode functions in multiple images decomposition. This study proposes the multiscale self-coordination BEMD algorithm to solve this problem. This algorithm outside extending the feather information with the support vector machine which has a high degree of generalization, then it also overcomes the BEMD end effects problem with conventional mirror extension methods of data processing,. The coordination of the extreme value point of the source image helps solve the problem of multiscale information fusion. Results show that the proposed method is better than the wavelet and NSCT method in retaining the characteristics of the source image information and the details of the mutation information inherited from the source image and in significantly improving the signal-to-noise ratio.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.1105-1108
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• 1999

In this paper, we propose a new addressing mode, which can be used for programmable image processor to perform image- processing algorithms effectively. Conventional addressing modes are suitable for one-dimensional data processing such as voice, but the proposed addressing mode consider two-dimensional characteristics of image data. The proposed instruction for two-dimensional addressing requires two operands to specify a pixel and doesn't require any change of memory architecture. Combining several instructions to load a pixel-data from an external memory to a register, the proposed instruction reduces code size so that satisfy hish performance and low power requirements of image processor. In addition, it uses inherent two-dimensional characteristics of image data and offers user-friendly instruction to assembler programmer.

• ETRI Journal
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• 제44권5호
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• pp.826-836
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• 2022

Signal decomposition is a computational technique that dissects a signal into its constituent components, providing supplementary information. In this study, the capability of two common signal decomposition techniques, including wavelet-based and empirical mode decomposition, on preterm birth classification was investigated. Ten time-domain features were extracted from the constituent components of electrohysterogram (EHG) signals, including EHG subbands and EHG intrinsic mode functions, and employed for preterm birth classification. Preterm birth classification and anticipation are crucial tasks that can help reduce preterm birth complications. The computational results show that the preterm birth classification obtained using wavelet-based decomposition is superior. This, therefore, implies that EHG subbands decomposed through wavelet-based decomposition provide more applicable information for preterm birth classification. Furthermore, an accuracy of 0.9776 and a specificity of 0.9978, the best performance on preterm birth classification among state-of-the-art signal processing techniques, were obtained using the time-domain features of EHG subbands.