• Title/Summary/Keyword: Partitioning method

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An efficient iterative improvement technique for VLSI circuit partitioning using hybrid bucket structures (하이브리드 버켓을 이용한 대규모 집적회로에서의 효율적인 분할 개선 방법)

  • 임창경;정정화
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.3
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    • pp.16-23
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    • 1998
  • In this paper, we present a fast and efficient Iterative Improvement Partitioning(IIP) technique for VLSI circuits and hybrid bucket structures on its implementation. The IIP algorithms are very widely used in VLSI circuit partition due to their time efficiency. As the performance of these algorithms depends on choices of moving cell, various methods have been proposed. Specially, Cluster-Removal algorithm by S. Dutt significantly improved partition quality. We indicate the weakness of previous algorithms wjere they used a uniform method for choice of cells during for choice of cells during the improvement. To solve the problem, we propose a new IIP technique that selects the method for choice of cells according to the improvement status and present hybrid bucket structures for easy implementation. The time complexity of proposed algorithm is the same with FM method and the experimental results on ACM/SIGDA benchmark circuits show improvment up to 33-44%, 45%-50% and 10-12% in cutsize over FM, LA-3 and CLIP respectively. Also with less CUP tiem, it outperforms Paraboli and MELO represented constructive-partition methods by about 12% and 24%, respectively.

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VVC Intra Triangular Partitioning Prediction for Screen Contents (스크린 콘텐츠를 위한 VVC 화면내 삼각형 분할 예측 방법)

  • Choe, Jaeryun;Gwon, Daehyeok;Han, Heeji;Lee, Hahyun;Kang, Jungwon;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.25 no.3
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    • pp.325-337
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    • 2020
  • Versatile Video Coding (VVC) is a new video coding standard that is being developed by the Joint Video Experts Team of ISO/IEC/ITU-T and it has adopted various technologies including screen content coding tools. Screen contents have a feature that blocks are likely to have diagonal edges like character regions. If triangular partitioning coding is allowed for screen contents having such the feature, coding efficiency would increase. This paper proposes a intra prediction method using triangular partitioning prediction for screen content coding. Similar to the Triangular Prediction Mode of VVC that supports the triangular partitioning prediction, the proposed method derives two prediction blocks using Horizontal and Vertical modes and then it blends the predicted blocks applying masks with triangle shape to generate a final prediction block. The experimental results of the proposed method showed an average of 1.86%, 1.49%, and 1.55% coding efficiency in YUV, respectively, for VVC screen content test sequences.

A Stable Multilevel Partitioning Algorithm for VLSI Circuit Designs Using Adaptive Connectivity Threshold (가변적인 연결도 임계치 설정에 의한 대규모 집적회로 설계에서의 안정적인 다단 분할 방법)

  • 임창경;정정화
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.10
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    • pp.69-77
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    • 1998
  • This paper presents a new efficient and stable multilevel partitioning algorithm for VLSI circuit design. The performance of multilevel partitioning algorithms that are proposed to enhance the performance of previous iterative-improvement partitioning algorithms for large scale circuits, depend on choice of construction methods for partition hierarchy. As the most of previous multilevel partitioning algorithms forces experimental constraints on the process of hierarchy construction, the stability of their performances goes down. The lack of stability causes the large variation of partition results during multiple runs. In this paper, we minimize the use of experimental constraints and propose a new method for constructing partition hierarchy. The proposed method clusters the cells with the connection status of the circuit. After constructing the partition hierarchy, a partition improvement algorithm, HYIP$^{[11]}$ using hybrid bucket structure, unclusters the hierachy to get partition results. The experimental results on ACM/SIGDA benchmark circuits show improvement up to 10-40% in minimum outsize over the previous algorithm $^{[3] [4] [5] [8] [10]}$. Also our technique outperforms ML$^{[10]}$ represented multilevel partition method by about 5% and 20% for minimum and average custsize, respectively. In addition, the results of our algorithm with 10 runs are better than ML algorithm with 100 runs.

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Fast VQ Codebook Design by Sucessively Bisectioning of Principle Axis (주축의 연속적 분할을 통한 고속 벡터 양자화 코드북 설계)

  • Kang, Dae-Seong;Seo, Seok-Bae;Kim, Dai-Jin
    • Journal of KIISE:Software and Applications
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    • v.27 no.4
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    • pp.422-431
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    • 2000
  • This paper proposes a new codebook generation method, called a PCA-Based VQ, that incorporates the PCA (Principal Component Analysis) technique into VQ (Vector Quantization) codebook design. The PCA technique reduces the data dimensions by transforming input image vectors into the feature vectors. The cluster of feature vectors in the transformed domain is bisectioned into two subclusters by an optimally chosen partitioning hyperplane. We expedite the searching of the optimal partitioning hyperplane that is the most time consuming process by considering that (1) the optimal partitioning hyperplane is perpendicular to the first principal axis of the feature vectors, (2) it is located on the equilibrium point of the left and right cluster's distortions, and (3) the left and right cluster's distortions can be adjusted incrementally. This principal axis bisectioning is successively performed on the cluster whose difference of distortion between before and after bisection is the maximum among the existing clusters until the total distortion of clusters becomes as small as the desired level. Simulation results show that the proposed PCA-based VQ method is promising because its reconstruction performance is as good as that of the SOFM (Self-Organizing Feature Maps) method and its codebook generation is as fast as that of the K-means method.

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Novel Trellis-Coded Spatial Modulation over Generalized Rician Fading Channels

  • Zhang, Peng;Yuan, Dongfeng;Zhang, Haixia
    • ETRI Journal
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    • v.34 no.6
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    • pp.900-910
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    • 2012
  • In this paper, a novel trellis-coded spatial modulation (TCSM) design method is presented and analyzed. Inspired by the key idea of trellis-coded modulation (TCM), the detailed analysis is firstly provided on the unequal error protection performance of spatial modulation constellation. Subsequently, the Ungerboeck set partitioning rule is proposed and applied to develop a general method to design the novel TCSM schemes. Different from the conventional TCSM approaches, the novel one based on the Ungerboeck set partitioning rule has similar properties as the classic TCM, which has simple but effective code design criteria. Moreover, the novel designed schemes are robust and adaptive to the generalized Rician fading channels, which outperform the traditional TCSM ones. For examples, the novel 4-, 8-, and 16-state TCSM schemes are constructed by employing different transmit antennas and different modulation schemes in different channel conditions. Simulation results clearly demonstrate the advantages of the novel TCSM schemes over the conventional ones.

UEP Turbo Encoder for H.264/AVC (H.264/AVC를 위한 UEP Turbo Encoder)

  • Kim, June;Kim, Youngseop;Park, In-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.1
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    • pp.51-53
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    • 2015
  • H.264/AVC is international video coding standard, which shows improved code and efficiency than the existing video standards. H.264/AVC proposes data partitioning method that considerably to be an effective layering technique which separates important addressing data from the residual data. UEP(Unequal Error Protection) turbo code of H.264/AVC uses retransmission system to get the UEP effectively. However, Data partitioning system of H.264/AVC is inefficient method in turbo code of H.264/AVC. Based on this observation, we propose the new UEP turbo code algorithm that reconstructs input sequence of turbo code without retransmission system.

A Study on Effect of Domain-Decomposition Method on Parallel Efficiency in 2-D Flow Computations (2차원 유동장 해석에서 영역분할법에 따른 병렬효율성 검토)

  • Lee Sangyeul;Hur Nahmkeon
    • 한국전산유체공학회:학술대회논문집
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    • 1998.11a
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    • pp.147-152
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    • 1998
  • 2-D flow fields are studied by using a shared memory parallel computer with a parallel flow analysis program which uses domain decomposition method and MPI library for data exchange at overlapped interface. Especially, effects of directional domain decomposition on parallel efficiency are studied for 2-D Lid-Driven cavity flow and flow through square cavity. It is known from the present study that domain decomposition along the main flow direction gives better parallel efficiency in 1-D partitioning than along the other direction. 2-D partitioning, however, is less sensitive to flow directions and gives good parallel efficiency for most of the cases considered.

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Refining Initial Seeds using Max Average Distance for K-Means Clustering (K-Means 클러스터링 성능 향상을 위한 최대평균거리 기반 초기값 설정)

  • Lee, Shin-Won;Lee, Won-Hee
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.103-111
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    • 2011
  • Clustering methods is divided into hierarchical clustering, partitioning clustering, and more. If the amount of documents is huge, it takes too much time to cluster them in hierarchical clustering. In this paper we deal with K-Means algorithm that is one of partitioning clustering and is adequate to cluster so many documents rapidly and easily. We propose the new method of selecting initial seeds in K-Means algorithm. In this method, the initial seeds have been selected that are positioned as far away from each other as possible.

Tree-structured Clustering for Continuous Data (연속형 자료에 대한 나무형 군집화)

  • Huh Myung-Hoe;Yang Kyung-Sook
    • The Korean Journal of Applied Statistics
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    • v.18 no.3
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    • pp.661-671
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    • 2005
  • The aim of this study is to propose a clustering method, called tree-structured clustering, by recursively partitioning continuous multivariate dat a based on overall $R^2$ criterion with a practical node-splitting decision rule. The clustering method produces easily interpretable clustering rules of tree types with the variable selection function. In numerical examples (Fisher's iris data and a Telecom case), we note several differences between tree-structured clustering and K-means clustering.

Effect of S.E.C Mixing on the Properties of Concrete (S.E.C 방식에 의한 콘크리트의 혼합효과에 관한 연구)

  • 김기형;박원태;최재진
    • Journal of the Korean Society of Safety
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    • v.12 no.2
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    • pp.133-139
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    • 1997
  • Conventional concrete mixing method is to put all of the materials simultaneously into a mixer and mix for a required time. However, recently concrete researchers have reported that mixing sequence iufluences the properties of concrete. This study discusses the influence of mixing sequence and partitioning addition of mixing water. Concrete, by method of partitioning addition of mixing water, was found to have substantially stronger strength than conventional concrete with the same water-cement ratio. This means that a higher strength concrete could be obtained by using “Sand Enveloped with Cement”(S.E.C) mixing technique. Both a high bond strength between cement paste and aggregate, and elimination of bleeding both contribute to improving the strength of S. E. C concrete.

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