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  • Open Access

    ARTICLE

    1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features

    Mustaqeem, Soonil Kwon*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 4039-4059, 2021, DOI:10.32604/cmc.2021.015070 - 01 March 2021

    Abstract Emotion recognition from speech data is an active and emerging area of research that plays an important role in numerous applications, such as robotics, virtual reality, behavior assessments, and emergency call centers. Recently, researchers have developed many techniques in this field in order to ensure an improvement in the accuracy by utilizing several deep learning approaches, but the recognition rate is still not convincing. Our main aim is to develop a new technique that increases the recognition rate with reasonable cost computations. In this paper, we suggested a new technique, which is a one-dimensional dilated… More >

  • Open Access

    ARTICLE

    Security Threats to Business Information Systems Using NFC Read/Write Mode

    Sergio Rios-Aguilar1,2,*, Marta Beltrán2, González-Crespo Rubén3

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2955-2969, 2021, DOI:10.32604/cmc.2021.014969 - 01 March 2021

    Abstract Radio Frequency IDentification (RFID) and related technologies such as Near Field Communication (NFC) are becoming essential in industrial contexts thanks to their ability to perform contactless data exchange, either device-to-device or tag-to-device. One of the three main operation modes of NFC, called read/write mode, makes use of the latter type of interaction. It is extensively used in business information systems that make use of NFC tags to provide the end-user with augmented information in one of several available NFC data exchange formats, such as plain text, simple URLs or enriched URLs. Using a wide variety… More >

  • Open Access

    ARTICLE

    Smart Dynamic Traffic Monitoring and Enforcement System

    Youssef El-Hansali1, Fatma Outay2,*, Ansar Yasar1, Siham Farrag1,3, Muhammad Shoaib4, Muhammad Imran4, Hammad Hussain Awan5

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2797-2806, 2021, DOI:10.32604/cmc.2021.014812 - 01 March 2021

    Abstract Enforcement of traffic rules and regulations involves a wide range of complex tasks, many of which demand the use of modern technologies. variable speed limits (VSL) control is to change the current speed limit according to the current traffic situation based on the observed traffic conditions. The aim of this study is to provide a simulation-based methodological framework to evaluate (VSL) as an effective Intelligent Transportation System (ITS) enforcement system. The focus of the study is on measuring the effectiveness of the dynamic traffic control strategy on traffic performance and safety considering various performance indicators… More >

  • Open Access

    ARTICLE

    Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems

    Adeeb Salh1, Lukman Audah1,*, Qazwan Abdullah1, Nor Shahida M. Shah2, Shipun A. Hamzah1, Shahilah Nordin3, Nabil Farah2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3189-3214, 2021, DOI:10.32604/cmc.2021.014746 - 01 March 2021

    Abstract Energy efficiency (EE) is a critical design when taking into account circuit power consumption (CPC) in fifth-generation cellular networks. These problems arise because of the increasing number of antennas in massive multiple-input multiple-output (MIMO) systems, attributable to inter-cell interference for channel state information. Apart from that, a higher number of radio frequency (RF) chains at the base station and active users consume more power due to the processing activities in digital-to-analogue converters and power amplifiers. Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in… More >

  • Open Access

    ARTICLE

    Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

    Nadia Tabassum1, Allah Ditta2, Tahir Alyas3, Sagheer Abbas4, Hani Alquhayz5, Natash Ali Mian6, Muhammad Adnan Khan7,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3129-3141, 2021, DOI:10.32604/cmc.2021.014729 - 01 March 2021

    Abstract Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet. The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric. In a hyperconverged cloud ecosystem environment, building high-reliability cloud applications is a challenging job. The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings. The emergence of cloud computing is significantly reshaping the digital ecosystem, and the numerous services offered by cloud service providers are playing a vital… More >

  • Open Access

    ARTICLE

    ExpressionHash: Securing Telecare Medical Information Systems Using BioHashing

    Ayesha Riaz1, Naveed Riaz1, Awais Mahmood2,*, Sajid Ali Khan3, Imran Mahmood1, Omar Almutiry2, Habib Dhahri2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2747-2764, 2021, DOI:10.32604/cmc.2021.014418 - 01 March 2021

    Abstract The COVID-19 outbreak and its medical distancing phenomenon have effectively turned the global healthcare challenge into an opportunity for Telecare Medical Information Systems. Such systems employ the latest mobile and digital technologies and provide several advantages like minimal physical contact between patient and healthcare provider, easy mobility, easy access, consistent patient engagement, and cost-effectiveness. Any leakage or unauthorized access to users’ medical data can have serious consequences for any medical information system. The majority of such systems thus rely on biometrics for authenticated access but biometric systems are also prone to a variety of attacks… More >

  • Open Access

    ARTICLE

    Down-regulation of N-methyl-D-aspartate receptor subunits 1 affects neurogenesis of hippocampal neural stem cells

    YUQING HE1, LI GUO1, JUAN DING1, HAOWEN LV1, QUANRUI MA1, CHEN LI1, YU SHAO1, QIANG LIU1, CHUN ZHANG1, HAO YANG1,2,*, JUAN LIU1,*

    BIOCELL, Vol.45, No.2, pp. 417-426, 2021, DOI:10.32604/biocell.2021.013842 - 19 February 2021

    Abstract Schizophrenia is a common and serious mental illness characterized by severe impairments in thinking, emotions, and behaviors. Usually, the cognitive deficits of schizophrenia are closely associated with abnormal neurogenesis due to the hypofunction of certain neural receptors such as N-methyl-D-aspartate receptors (NMDARs), which mediates neurotransmission. However, little is known about the involvement of NMDAR1 in regulating hippocampal neurogenesis in schizophrenia. In the current study, we present evidence suggesting that NMDAR1 regulates hippocampal neurogenesis as lentivirus-mediated shRNA silencing NMDAR1 gene or blocking with MK-801 results in abnormal neurogenesis consistently found in schizophrenia. The important finding was More >

  • Open Access

    ARTICLE

    Different sources of MSCs on pulmonary fibrosis in C57BL/6 mice

    SHUCAI WU1,#, DENGRUI LI1,#, SUMIN GUO1, LI GAO2, YONGHUI YANG1,*

    BIOCELL, Vol.45, No.2, pp. 339-344, 2021, DOI:10.32604/biocell.2021.011379 - 19 February 2021

    Abstract Since stem cell therapy is the most effective treatment in the field of tissue reparation and reconstitution, the present study aimed to explore the different sources of mesenchymal stem cells (MSCs) on the different effects of pulmonary fibrosis-related cytokines in C57BL/6 mice. For reaching this goal, we isolated MSCs from umbilical cord blood and placenta and used for stem cell therapy in a mouse model of pulmonary fibrosis model. The pulmonary fibrosis model was done by injecting bleomycin into the trachea of C57BL/6 mice. Then we assessed the degree of pulmonary fibrosis in each mouse… More >

  • Open Access

    ARTICLE

    Exergy Analysis and Thermal Optimization of a Double-Turbine Regeneration System in a Ultra-Supercritical Double-Reheat Unit

    Shidan Chi1, Tao Luan1,*, Yan Liang2, Xundong Hu2, Yan Gao3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 71-80, 2021, DOI:10.32604/fdmp.2021.013178 - 09 February 2021

    Abstract Improving the primary steam parameters is one of the most direct ways to improve the cycle efficiency of a power generation system. In the present study, the typical problem connected to the excessively high superheat degree of extraction steam in an ultra-supercritical (USC) double-reheat unit is considered. Using a 1000 MW power plant as an example, two systems (case 1 and case 2) are proposed, both working in combination with a regenerative steam turbine. The thermal performances of these two systems are compared with that of the original system through a heat balance method and More >

  • Open Access

    ARTICLE

    Design and Optimization of a Hybrid Energy System for Decentralized Heating

    Ling Cheng1,2,3,*, Bingqing Guo1,2, Kecheng Li1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 49-70, 2021, DOI:10.32604/fdmp.2021.011062 - 09 February 2021

    Abstract The performances of a hybrid energy system for decentralized heating are investigated. The proposed energy system consists of a solar collector, an air-source heat pump, a gas-fired boiler and a hot water tank. A mathematical model is developed to predict the operating characteristics of the system. The simulation results are compared with experimental data. Such a comparison indicates that the model accuracy is sufficient. The influence of the flat plate solar collector area on the economic and energy efficiency of such system is also evaluated through numerical simulations. Finally, this system is optimized using the More >

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