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  • Open Access

    ARTICLE

    A Method of Identifying Thunderstorm Clouds in Satellite Cloud Image Based on Clustering

    Lili He1,2, Dantong Ouyang1,2, Meng Wang1,2, Hongtao Bai1,2, Qianlong Yang1,2, Yaqing Liu3,4, Yu Jiang1,2,*

    CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 549-570, 2018, DOI:10.32604/cmc.2018.03840

    Abstract In this paper, the clustering analysis is applied to the satellite image segmentation, and a cloud-based thunderstorm cloud recognition method is proposed in combination with the strong cloud computing power. The method firstly adopts the fuzzy C-means clustering (FCM) to obtain the satellite cloud image segmentation. Secondly, in the cloud image, we dispose the ‘high-density connected’ pixels in the same cloud clusters and the ‘low-density connected’ pixels in different cloud clusters. Therefore, we apply the DBSCAN algorithm to the cloud image obtained in the first step to realize cloud cluster knowledge. Finally, using the method of spectral threshold recognition and… More >

  • Open Access

    ARTICLE

    Phishing Detection with Image Retrieval Based on Improved Texton Correlation Descriptor

    Guoyuan Lin1,2,*, Bowen Liu1, Pengcheng Xiao3, Min Lei4, Wei Bi5,6

    CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 533-547, 2018, DOI:10.32604/cmc.2018.03720

    Abstract Anti-detection is becoming as an emerging challenge for anti-phishing. This paper solves the threats of anti-detection from the threshold setting condition. Enough webpages are considered to complicate threshold setting condition when the threshold is settled. According to the common visual behavior which is easily attracted by the salient region of webpages, image retrieval methods based on texton correlation descriptor (TCD) are improved to obtain enough webpages which have similarity in the salient region for the images of webpages. There are two steps for improving TCD which has advantage of recognizing the salient region of images: (1) This paper proposed Weighted… More >

  • Open Access

    ARTICLE

    The Stability of Anionic States of Thymine-Glycine Dimers with Excess Electron

    Yugai Huang 1, 2, *

    CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 485-494, 2018, DOI:10.32604/cmc.2018.03112

    Abstract It has been demonstrated that low energy electrons (LEEs) can induce serious DNA damages including bases loss and even single and double strand breaks. Experiments also showed that LEE induced DNA damages will be reduced with the presence of amino acids. For understanding of the protection of amino acids to DNA, the stability of 6 kinds of thymine and glycine (T-g) dimers with planar configurations with an excess electron were studied with density functional theory (DFT) method. The results show that, when the excess electron is vertically attached, all the dimers become more active with higher energy. After re-optimization, 4… More >

  • Open Access

    ARTICLE

    Design of ECC based Secured Cloud Storage Mechanism for Transaction Rich Applications

    V. Gopinath1, R. S. Bhuvaneswaran2

    CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 341-352, 2018, DOI:10.32604/cmc.2018.04006

    Abstract Cloud computing is the highly demanded technology nowadays. Due to the service oriented architecture, seamless accessibility and other advantages of this advent technology, many transaction rich applications are making use of it. At the same time, it is vulnerable to hacks and threats. Hence securing this environment is of at most important and many research works are being reported focusing on it. This paper proposes a safe storage mechanism using Elliptic curve cryptography (ECC) for the Transaction Rich Applications (TRA). With ECC based security scheme, the security level of the protected system will be increased and it is more suitable… More >

  • Open Access

    ARTICLE

    A Dual-spline Approach to Load Error Repair in a HEMS Sensor Network

    Xiaodong Liu1, Qi Liu1,*

    CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 179-194, 2018, DOI:10.32604/cmc.2018.04025

    Abstract In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load data in a HEMS sensor network, however, problems can be caused on the data due to faulty sensing processes and/or lost links, etc. In order to ensure the quality of retrieved load data, different solutions have been presented, but suffered from low recognition rates and high complexity. In this paper, a validation and repair method is presented to detect potential failures and errors in a domestic… More >

  • Open Access

    ARTICLE

    Self-embedding Image Watermarking based on Combined Decision Using Pre-offset and Post-offset Blocks

    Daofu Gong1,2, Yan Chen1,2, Haoyu Lu1,*, Zhenyu Li3, Yibing Han1

    CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 243-260, 2018, DOI:10.32604/cmc.2018.03781

    Abstract To detect and recover random tampering areas, a combined-decision-based self-embedding watermarking scheme is proposed herein. In this scheme, the image is first partitioned into 2×2 size blocks. Next, the high 5 bits of a block’s average value is embedded into its offset block. The tampering type of block is detected by comparing the watermarks of its pre-offset and post-offset blocks. The theoretical analysis and experiments demonstrate that the proposed scheme not only has a lower ratio of false detection but also better performance with regard to avoiding random tampering. More >

  • Open Access

    ARTICLE

    A Method for Improving CNN-Based Image Recognition Using DCGAN

    Wei Fang1,2, Feihong Zhang1,*, Victor S. Sheng3, Yewen Ding1

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 167-178, 2018, DOI:10.32604/cmc.2018.02356

    Abstract Image recognition has always been a hot research topic in the scientific community and industry. The emergence of convolutional neural networks(CNN) has made this technology turned into research focus on the field of computer vision, especially in image recognition. But it makes the recognition result largely dependent on the number and quality of training samples. Recently, DCGAN has become a frontier method for generating images, sounds, and videos. In this paper, DCGAN is used to generate sample that is difficult to collect and proposed an efficient design method of generating model. We combine DCGAN with CNN for the second time.… More >

  • Open Access

    ARTICLE

    Modification of Nano Tourmaline Surface Treatment Agent and Its Performance on Negative Ion Release

    Guorui Huang1, Zhongkai Cui2, Pengfei Zhu1, Xiaoyun Liu1,*

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 145-150, 2018, DOI:10.32604/cmc.2018.02947

    Abstract In this paper, a kind of wall fabric’s surface treatment agent modified with nonionic surfactant was reported. This surface treatment agent was prepared by using nano tourmaline powder dispersion in water with surfactant as dispersants by sand milling. Under the influence of different dispersants, the negative ions releasing amount of functional wall fabrics, the milling process and the storage stability of nano tourmaline powder dispersion were discussed. The results showed that nano tourmaline powder dispersion achieved the smallest average diameter of 44 nm and had best storage stability that the average diameter maintained below 200 nm in 17 days when… More >

  • Open Access

    ARTICLE

    Dynamical Interaction Between Information and Disease Spreading in Populations of Moving Agents

    Lingling Xia1, Bo Song2,3, Zhengjun Jing4, Yurong Song5,*, Liang Zhang1

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 123-144, 2018, DOI:10.32604/cmc.2018.03738

    Abstract Considering dynamical disease spreading network consisting of moving individuals, a new double-layer network is constructed, one where the information dissemination process takes place and the other where the dynamics of disease spreading evolves. On the basis of Markov chains theory, a new model characterizing the coupled dynamics between information dissemination and disease spreading in populations of moving agents is established and corresponding state probability equations are formulated to describe the probability in each state of every node at each moment. Monte Carlo simulations are performed to characterize the interaction process between information and disease spreading and investigate factors that influence… More >

  • Open Access

    ARTICLE

    Embedding Image Through Generated Intermediate Medium Using Deep Convolutional Generative Adversarial Network

    Chuanlong Li1,2,*, Yumeng Jiang3, Marta Cheslyar1

    CMC-Computers, Materials & Continua, Vol.56, No.2, pp. 313-324, 2018, DOI: 10.3970/cmc.2018.03950

    Abstract Deep neural network has proven to be very effective in computer vision fields. Deep convolutional network can learn the most suitable features of certain images without specific measure functions and outperform lots of traditional image processing methods. Generative adversarial network (GAN) is becoming one of the highlights among these deep neural networks. GAN is capable of generating realistic images which are imperceptible to the human vision system so that the generated images can be directly used as intermediate medium for many tasks. One promising application of using GAN generated images would be image concealing which requires the embedded image looks… More >

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