Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (107)
  • Open Access

    ARTICLE

    A Noise-Resistant Superpixel Segmentation Algorithm for Hyperspectral Images

    Peng Fu1,2, Qianqian Xu1, Jieyu Zhang3, Leilei Geng4,*

    CMC-Computers, Materials & Continua, Vol.59, No.2, pp. 509-515, 2019, DOI:10.32604/cmc.2019.05250

    Abstract The superpixel segmentation has been widely applied in many computer vision and image process applications. In recent years, amount of superpixel segmentation algorithms have been proposed. However, most of the current algorithms are designed for natural images with little noise corrupted. In order to apply the superpixel algorithms to hyperspectral images which are always seriously polluted by noise, we propose a noise-resistant superpixel segmentation (NRSS) algorithm in this paper. In the proposed NRSS, the spectral signatures are first transformed into frequency domain to enhance the noise robustness; then the two widely spectral similarity measures-spectral angle mapper (SAM) and spectral information… More >

  • Open Access

    ARTICLE

    PMS-Sorting: A New Sorting Algorithm Based on Similarity

    Hongbin Wang1, Lianke Zhou1, Guodong Zhao1,*, Nianbin Wang1, Jianguo Sun1, Yue Zheng2, Lei Chen3

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 229-237, 2019, DOI:10.32604/cmc.2019.04628

    Abstract Borda sorting algorithm is a kind of improvement algorithm based on weighted position sorting algorithm, it is mainly suitable for the high duplication of search results, for the independent search results, the effect is not very good and the computing method of relative score in Borda sorting algorithm is according to the rule of the linear regressive, but position relationship cannot fully represent the correlation changes. aimed at this drawback, the new sorting algorithm is proposed in this paper, named PMS-Sorting algorithm, firstly the position score of the returned results is standardized processing, and the similarity retrieval word string with… More >

  • Open Access

    ARTICLE

    Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment

    Manyu Jin1, Tao Wang1, Zexuan Ji1,*, Xiaobo Shen2

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 501-515, 2018, DOI: 10.3970/cmc.2018.02371

    Abstract Perceptual image quality assessment (IQA) is one of the most indispensable yet challenging problems in image processing and computer vision. It is quite necessary to develop automatic and efficient approaches that can accurately predict perceptual image quality consistently with human subjective evaluation. To further improve the prediction accuracy for the distortion of color images, in this paper, we propose a novel effective and efficient IQA model, called perceptual gradient similarity deviation (PGSD). Based on the gradient magnitude similarity, we proposed a gradient direction selection method to automatically determine the pixel-wise perceptual gradient. The luminance and chrominance channels are both took… More >

  • Open Access

    ARTICLE

    MHD Effect on Relative Motion of Two Immiscible Liquid Spheres

    D.V. Jayalakshmamma1, Dinesh P.A.2, M. Sankar3, D.V. Ch,rashekhar4

    FDMP-Fluid Dynamics & Materials Processing, Vol.10, No.3, pp. 343-357, 2014, DOI:10.3970/fdmp.2014.010.343

    Abstract We examine the motion of the two concentric immiscible liquid spheres with different viscosities in an electrically conducting fluid in the presence of transverse magnetic field. The inner sphere is assumed to move at a constant velocity. The Stoke’s equation along with the Lorentz force is considered to model the resulting fluid flow, analytical solutions being obtained by the similarity solution method in terms of modified Bessel’s functions. Streamlines related to the fluid circulation in the annulus between the two liquid spheres and inside the inner liquid sphere are presented for different combinations of the governing non-dimensional parameters. More >

  • Open Access

    ARTICLE

    Graph-Based Chinese Word Sense Disambiguation with Multi-Knowledge Integration

    Wenpeng Lu1,*, Fanqing Meng2, Shoujin Wang3, Guoqiang Zhang4, Xu Zhang1, Antai Ouyang5, Xiaodong Zhang6

    CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 197-212, 2019, DOI:10.32604/cmc.2019.06068

    Abstract Word sense disambiguation (WSD) is a fundamental but significant task in natural language processing, which directly affects the performance of upper applications. However, WSD is very challenging due to the problem of knowledge bottleneck, i.e., it is hard to acquire abundant disambiguation knowledge, especially in Chinese. To solve this problem, this paper proposes a graph-based Chinese WSD method with multi-knowledge integration. Particularly, a graph model combining various Chinese and English knowledge resources by word sense mapping is designed. Firstly, the content words in a Chinese ambiguous sentence are extracted and mapped to English words with BabelNet. Then, English word similarity… More >

  • Open Access

    ARTICLE

    Dynamic Trust Model Based on Service Recommendation in Big Data

    Gang Wang1,*, Mengjuan Liu2

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 845-857, 2019, DOI:10.32604/cmc.2019.03678

    Abstract In big data of business service or transaction, it is impossible to provide entire information to both of services from cyber system, so some service providers made use of maliciously services to get more interests. Trust management is an effective solution to deal with these malicious actions. This paper gave a trust computing model based on service-recommendation in big data. This model takes into account difference of recommendation trust between familiar node and stranger node. Thus, to ensure accuracy of recommending trust computing, paper proposed a fine-granularity similarity computing method based on the similarity of service concept domain ontology. This… More >

  • Open Access

    ARTICLE

    Method of Time Series Similarity Measurement Based on Dynamic Time Warping

    Lianggui Liu1,*, Wei Li1, Huiling Jia1

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 97-106, 2018, DOI:10.32604/cmc.2018.03511

    Abstract With the rapid development of mobile communication all over the world, the similarity of mobile phone communication data has received widely attention due to its advantage for the construction of smart cities. Mobile phone communication data can be regarded as a type of time series and dynamic time warping (DTW) and derivative dynamic time warping (DDTW) are usually used to analyze the similarity of these data. However, many traditional methods only calculate the distance between time series while neglecting the shape characteristics of time series. In this paper, a novel hybrid method based on the combination of dynamic time warping… More >

Displaying 101-110 on page 11 of 107. Per Page