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We present an empirical performance evaluation of algorithms that replace arithmetic operations with low-level bit operations for power-aware Big Data processing. Specifically, we compare two different data structures in terms of both execution time and power efficiency: (a) a baseline design using arrays, and (b) a design using bit-slice indexing (BSI) and distributed BSI arithmetic. We evaluate...
This paper introduces the Simplified Edge Detector (SED) architecture for 3D-HEVC depth maps coding. The SED algorithm classifies the encoding block as homogeneous or edge. When SED classifies the encoding block as homogeneous, the encoding is simplified skipping the bipartition modes evaluation. This approach is capable of reducing 96.7% the bipartition modes evaluation with a drawback of only 0...
This paper presents a complexity analysis of 3D High Efficiency Video Coding (3D-HEVC) depth maps intra prediction. The 3D-HEVC inserts new coding tools in depth maps intra prediction such as Depth Intra Skip (DIS), Depth Modeling Modes (DMMs) and Segment-wise DC (SDC). Therefore, it is important to understand the complexity of each module to allow the design of new complexity reduction techniques...
To improve research efficiency of engineering problems, Surrogate model has gained its popularity in replacing real engineering model. This paper proposes a kind of Global Sequential Sampling Algorithm (GSSA) based on surrogate model. With the process of iteration, GSSA can sample both in unexplored region and large-error region, then iteratively update the samples. OLHS is used as initial sampling...
Despite the continued expansion of tourism in Taiwan, the search systems used in the tourism sector lack the ability to recommend attractions. This means that users are required to spend additional time looking up information on numerous attractions before selecting their destinations. This study proposed a skyline query-based attraction recommendation system that takes into account the preferences...
Clustering, the process of grouping unlabelled data, is an important task in data analysis. It is regarded as one of the most difficult tasks due to the large search space that must be explored. Feature selection is commonly used to reduce the size of a search space, and evolutionary computation (EC) is a group of techniques which are known to give good solutions to difficult problems such as clustering...
Abstract-The IEEE 802.15.7 standard on visible light communications (VLC) proposes color-shift-keying (CSK) as a way to increase data rate while keeping a constant optical power. In this paper, we propose two algorithms to design codes by finite state machines (FSM) using newly introduced CSK constellations. These codes ensure a constant perceived color eliminating the use of the scrambler proposed...
In recent years, with the popularity of the running and other sports software, friend recommendation algorithm based on trajectory is gradually becoming a hot research. In this paper, the θ-ADBSCAN algorithm is used to dig the hot trail and the resident points of user's trajectory, then the trajectory segmentation algorithm is described, and the trajectory is replaced by the MTR which is composed...
FlexRay has been taken as the next generation protocol of automotive network and has been applied to the safety critical control systems in vehicle. Frame packing is one of key problems in the design of vehicular communication because it directly relates to communication reliability and network utilization. In this paper, the transmission reliability and the slot utilization are defined for FlexRay...
The emerging high efficient video coding (HEVC) standard adopts quad-tree structure to partition the coding unit (CU) which is flexible and efficient. However, it causes enormous computational complexity. In this paper, a fast CU partitioning algorithm in the inter prediction of HEVC is proposed. Firstly, based on the visual saliency map detection, a fast CU partitioning depth prediction algorithm...
In this paper, a saliency aware fast intra coding algorithm for HEVC is proposed consists of perceptual intra coding and fast intra prediction mode decision algorithm. Firstly, based on the visual saliency detection, an adaptive CU splitting method is proposed to reduce intra encoding complexity. Furthermore, quantization parameter is adaptively adjusted at the CU level according to the relative importance...
HEVC (high efficiency video coding), as the latest video coding standard, is more efficient than H.264/AVC, nevertheless it also brings in a very high computational complexity. To reduce the time of CU (coding unit) splitting or PU (prediction unit) mode deciding, a fast algorithm based on ANN (artificial neural network) and texture analysis is proposed in this paper. First, we acquire and then label...
Rate control plays a key role in video coding, which has a significant effect on encoder performance. With parallel video coding frameworks more and more popular, rate control suitable for parallel coding is highly desired. However, most rate control algorithms only focus on the rate distortion performance but ignoring the data correlation in parallel coding. In this paper, based on the parallel framework...
The latest High Efficiency Video Coding (HEVC) standard offers higher performance than existing video coding standards - up to 50% bit-rate reduction at the equal perceptual quality, but with a significant encoder complexity increase. With regard to intra prediction, a set of 35 intra prediction modes is defined in HEVC to enhance the intra coding performance. However, the high complexity makes it...
Efficient retrieval of traffic archival data is a must-have technique to detect network attacks, such as APT(advanced persistent threat) attack. In order to take insight from Internet traffic, the bitmap index is increasingly used for efficiently querying over large datasets. However, a raw bitmap index leads to high space consumption and overhead on loading indexes. Various bitmap index compression...
Test compression hardware blocks such as EDT 1 are utilized in large industrial designs to compress scan testdata in order to decrease scan test time and volume. Duringpattern generation for EDT-based designs, some faults cannotbe detected due to linear dependency and insufficient encodingcapacity of EDT. These faults called EDT Aborted (EAB) faultscause a notable coverage loss in some designs.In...
Generally different websites have different web page structures, which would heavily affect the extraction quality when the web content is automatically collected. On the basis of a statistical analysis on content features and structure characteristics of News domain web pages, this paper proposes a maximum continuous sum of text density (MCSTD) method to efficiently and effectively extract web content...
This paper proposes a Modified Multiple Triangular Inequality Elimination (MMTIE) to further reduce the search number of candidate codevectors. The MMTIE adopts the same original search space as the MTIE scheme with the initial best-matched codevector selected by the Initial Index Code Assignment (IICA), and integrates the intersection rule of the Candidate Codevectors Group (CCG) scheme to further...
With the development of society, the image size and resolution are gradually increasing. At the same time, the fast image processing is required. The K-SVD algorithm is an iterative method that alternates between sparse coding and updating the overcomplete dictionary. It is a very simple and highly effective method for the signal of sparse representation. However, the K-SVD algorithm is a computationally...
Sparse representation has been proven to be a powerful tool for analysis and processing of signals and images. Whereas the most existing sparse representation methods are based on the synthesis model, this paper addresses sparse representation with the so-called analysis model. The ℓ1/2-norm regularizer theory in compressive sensing (CS) shows that the ℓ1/2-norm regularizer can yield stronger sparsity-promoting...
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