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Search Results (6)
  • Open Access

    ARTICLE

    Image Representations of Numerical Simulations for Training Neural Networks

    Yiming Zhang1,*, Zhiran Gao1, Xueya Wang1, Qi Liu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 821-833, 2023, DOI:10.32604/cmes.2022.022088

    Abstract A large amount of data can partly assure good fitting quality for the trained neural networks. When the quantity of experimental or on-site monitoring data is commonly insufficient and the quality is difficult to control in engineering practice, numerical simulations can provide a large amount of controlled high quality data. Once the neural networks are trained by such data, they can be used for predicting the properties/responses of the engineering objects instantly, saving the further computing efforts of simulation tools. Correspondingly, a strategy for efficiently transferring the input and output data used and obtained in numerical simulations to neural networks… More >

  • Open Access

    ARTICLE

    Adaptive Multicale Transformation Run-Length Code-Based Test Data Compression in Benchmark Circuits

    P. Thilagavathi*, S. Karthikeyan

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 2035-2050, 2022, DOI:10.32604/iasc.2022.026651

    Abstract Test data volume reduction and power consumption during testing time outlines are two main problems for Very Large Scale Integration (VLSI) gadgets. Most the code-based arrangements have been utilized to diminish test data volume, although the most notable way that test data volume is high. The switching action that happens between the test carriers leads would expand power consumption. This work presents a compression/decompression methodology for limiting the amount of test data that should be kept on a tester and conveyed to each center in a System on a Chip (SOC) during a test utilizing the Adaptive Multiscale Transformation Run… More >

  • Open Access

    ARTICLE

    Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

    Ashraf Mohamed Ali Hassan1, Mohammed S. Alzaidi2, Sherif S. M. Ghoneim2,3,*, Waleed El Nahal4

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4391-4408, 2022, DOI:10.32604/cmc.2022.024044

    Abstract This paper introduced an efficient compression technique that uses the compressive sensing (CS) method to obtain and recover sparse electrocardiography (ECG) signals. The recovery of the signal can be achieved by using sampling rates lower than the Nyquist frequency. A novel analysis was proposed in this paper. To apply CS on ECG signal, the first step is to generate a sparse signal, which can be obtained using Modified Discrete Cosine Transform (MDCT) on the given ECG signal. This transformation is a promising key for other transformations used in this search domain and can be considered as the main contribution of… More >

  • Open Access

    ARTICLE

    Novel Image Encryption and Compression Scheme for IoT Environment

    Mesfer Al Duhayyim1, Fahd N. Al-Wesabi2, Radwa Marzouk3, Manar Ahmed Hamza4, Anwer Mustafa Hilal4,*, Majdy M. Eltahir2

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1443-1457, 2022, DOI:10.32604/cmc.2022.021873

    Abstract Latest advancements made in the processing abilities of smart devices have resulted in the designing of Intelligent Internet of Things (IoT) environment. This advanced environment enables the nodes to connect, collect, perceive, and examine useful data from its surroundings. Wireless Multimedia Surveillance Networks (WMSNs) form a vital part in IoT-assisted environment since it contains visual sensors that examine the surroundings from a number of overlapping views by capturing the images incessantly. Since IoT devices generate a massive quantity of digital media, it is therefore required to save the media, especially images, in a secure way. In order to achieve security,… More >

  • Open Access

    ARTICLE

    A New Rockburst Experiment Data Compression Storage Algorithm Based on Big Data Technology

    Yu Zhang1,2, Yan-Ge Wang1, Yan-Ping Bai3, Yong-Zhen Li1,4, Zhao-Yong Lv5, Hong-Wei Ding6

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 561-572, 2019, DOI:10.31209/2019.100000111

    Abstract Rockburst phenomenon is a kind of phenomenon that the rock is out and ejected because the mineral was dug out, and the original force balance was destroyed in the process of mineral exploitation. From 2007, GeoLab (abbreviation of State Key Laboratory in China for GeoMechanics and Deep Underground Engineering) had made a series of important achievements in rockburst. Up to now, GeoLab’s rockburst experiment data is reached 800T, and these data may occupy about 2PB hard disk space after analyzed. At this ratio, GeoLab need to buy a new hard disk to save all these data every 46 hours rockburst… More >

  • Open Access

    ARTICLE

    A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on Data Compression

    Lejun Zhang1, Tianwen Huang1, Xiaoyan Hu1, Zhijie Zhang1, Weizheng Wang2, Donghai Guan3, *, Chunhui Zhao1, 4, Seokhoon Kim5

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 2013-2030, 2020, DOI:10.32604/cmc.2020.011219

    Abstract Covert channel of the packet ordering is a hot research topic. Encryption technology is not enough to protect the security of both sides of communication. Covert channel needs to hide the transmission data and protect content of communication. The traditional methods are usually to use proxy technology such as tor anonymous tracking technology to achieve hiding from the communicator. However, because the establishment of proxy communication needs to consume traffic, the communication capacity will be reduced, and in recent years, the tor technology often has vulnerabilities that led to the leakage of secret information. In this paper, the covert channel… More >

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