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  • Open Access

    ARTICLE

    A Novel Design of Octal-Valued Logic Full Adder Using Light Color State Model

    Ahmed Talal, Osama Abu-Elnasr*, Samir Elmougy

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3487-3503, 2021, DOI:10.32604/cmc.2021.015759 - 01 March 2021

    Abstract Due to the demand of high computational speed for processing big data that requires complex data manipulations in a timely manner, the need for extending classical logic to construct new multi-valued optical models becomes a challenging and promising research area. This paper establishes a novel octal-valued logic design model with new optical gates construction based on the hypothesis of Light Color State Model to provide an efficient solution to the limitations of computational processing inherent in the electronics computing. We provide new mathematical definitions for both of the binary OR function and the PLUS operation More >

  • Open Access

    ARTICLE

    Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics

    Muhammad Saad1, Maaz Bin Ahmad1, Muhammad Asif2,*, Khalid Masood2, Mohammad A. Al Ghamdi3

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3545-3562, 2021, DOI:10.32604/cmc.2021.015720 - 01 March 2021

    Abstract Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish flu, swine flu, and coronavirus disease 2019 (COVID-19). This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation management. These technologies can help prevent outbreaks of any disease that can disperse widely and develop into a pandemic. Initially, a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy… More >

  • Open Access

    ARTICLE

    Implementation of a Subjective Visual Vertical and Horizontal Testing System Using Virtual Reality

    Sungjin Lee1, Min Hong2, Hongly Va1, Ji-Yun Park3,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3669-3679, 2021, DOI:10.32604/cmc.2021.015706 - 01 March 2021

    Abstract Subjective visual vertical (SVV) and subjective visual horizontal (SVH) tests can be used to evaluate the perception of verticality and horizontality, respectively, and can aid the diagnosis of otolith dysfunction in clinical practice. In this study, SVV and SVH screen version tests are implemented using virtual reality (VR) equipment; the proposed test method promotes a more immersive feeling for the subject while using a simple equipment configuration and possessing excellent mobility. To verify the performance of the proposed VR-based SVV and SVH tests, a reliable comparison was made between the traditional screen-based SVV and SVH More >

  • Open Access

    ARTICLE

    Control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

    Nour Ben Ammar1, Hegazy Rezk2,3,*, Soufiene Bouallègue1,4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 4081-4100, 2021, DOI:10.32604/cmc.2021.015681 - 01 March 2021

    Abstract This work presents a memetic Shuffled Frog Leaping Algorithm (SFLA) based tuning approach of an Integral Sliding Mode Controller (ISMC) for a quadrotor type of Unmanned Aerial Vehicles (UAV). Based on the Newton–Euler formalism, a nonlinear dynamic model of the studied quadrotor is firstly established for control design purposes. Since the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law, which are usually selected by repetitive and time-consuming trials-errors based procedures, a constrained optimization problem is formulated for the systematically tuning of these… More >

  • Open Access

    ARTICLE

    Improved Hybrid Beamforming for mmWave Multi-User Massive MIMO

    Ji-Sung Jung1, Won-Seok Lee1, Yeong-Rong Lee1, Jaeho Kim2, Hyoung-Kyu Song1,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3057-3070, 2021, DOI:10.32604/cmc.2021.015673 - 01 March 2021

    Abstract Massive multiple input multiple output (MIMO) has become essential for the increase of capacity as the millimeter-wave (mmWave) communication is considered. Also, hybrid beamforming systems have been studied since full-digital beamforming is impractical due to high cost and power consumption of the radio frequency (RF) chains. This paper proposes a hybrid beamforming scheme to improve the spectral efficiency for multi-user MIMO (MU-MIMO) systems. In a frequency selective fading environment, hybrid beamforming schemes suffer from performance degradation since the analog precoder performs the same precoding for all subcarriers. To mitigate performance degradation, this paper uses the… More >

  • Open Access

    ARTICLE

    Time-Aware PolarisX: Auto-Growing Knowledge Graph

    Yeon-Sun Ahn, Ok-Ran Jeong*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2695-2708, 2021, DOI:10.32604/cmc.2021.015636 - 01 March 2021

    Abstract A knowledge graph is a structured graph in which data obtained from multiple sources are standardized to acquire and integrate human knowledge. Research is being actively conducted to cover a wide variety of knowledge, as it can be applied to applications that help humans. However, existing researches are constructing knowledge graphs without the time information that knowledge implies. Knowledge stored without time information becomes outdated over time, and in the future, the possibility of knowledge being false or meaningful changes is excluded. As a result, they can’t reflect information that changes dynamically, and they can’t… More >

  • Open Access

    ARTICLE

    EP-Bot: Empathetic Chatbot Using Auto-Growing Knowledge Graph

    SoYeop Yoo, OkRan Jeong*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2807-2817, 2021, DOI:10.32604/cmc.2021.015634 - 01 March 2021

    Abstract People occasionally interact with each other through conversation. In particular, we communicate through dialogue and exchange emotions and information from it. Emotions are essential characteristics of natural language. Conversational artificial intelligence is an integral part of all the technologies that allow computers to communicate like humans. For a computer to interact like a human being, it must understand the emotions inherent in the conversation and generate the appropriate responses. However, existing dialogue systems focus only on improving the quality of understanding natural language or generating natural language, excluding emotions. We propose a chatbot based on… More >

  • Open Access

    ARTICLE

    A Deep Learning-Based Recognition Approach for the Conversion of Multilingual Braille Images

    Abdulmalik AlSalman1, Abdu Gumaei1,*, Amani AlSalman2, Suheer Al-Hadhrami1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3847-3864, 2021, DOI:10.32604/cmc.2021.015614 - 01 March 2021

    Abstract Braille-assistive technologies have helped blind people to write, read, learn, and communicate with sighted individuals for many years. These technologies enable blind people to engage with society and help break down communication barriers in their lives. The Optical Braille Recognition (OBR) system is one example of these technologies. It plays an important role in facilitating communication between sighted and blind people and assists sighted individuals in the reading and understanding of the documents of Braille cells. However, a clear gap exists in current OBR systems regarding asymmetric multilingual conversion of Braille documents. Few systems allow… More >

  • Open Access

    ARTICLE

    Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN

    Maryam Shafiq1, Humaira Ashraf1, Ata Ullah2, Mehedi Masud3, Muhammad Azeem2, N. Z. Jhanjhi4,*, Mamoona Humayun5

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3505-3521, 2021, DOI:10.32604/cmc.2021.015533 - 01 March 2021

    Abstract The Internet of Things (IoT) is gaining attention because of its broad applicability, especially by integrating smart devices for massive communication during sensing tasks. IoT-assisted Wireless Sensor Networks (WSN) are suitable for various applications like industrial monitoring, agriculture, and transportation. In this regard, routing is challenging to find an efficient path using smart devices for transmitting the packets towards big data repositories while ensuring efficient energy utilization. This paper presents the Robust Cluster Based Routing Protocol (RCBRP) to identify the routing paths where less energy is consumed to enhances the network lifespan. The scheme is… More >

  • Open Access

    ARTICLE

    LBC-IoT: Lightweight Block Cipher for IoT Constraint Devices

    Rabie A. Ramadan1,2,*, Bassam W. Aboshosha3, Kusum Yadav1, Ibrahim M. Alseadoon1, Munawar J. Kashout1, Mohamed Elhoseny4,5

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3563-3579, 2021, DOI:10.32604/cmc.2021.015519 - 01 March 2021

    Abstract With the new era of the Internet of Things (IoT) technology, many devices with limited resources are utilized. Those devices are susceptible to a significant number of new malware and other risks emerging rapidly. One of the most appropriate methods for securing those IoT applications is cryptographic algorithms, as cryptography masks information by eliminating the risk of collecting any meaningful information patterns. This ensures that all data communications are private, accurate, authenticated, authorized, or non-repudiated. Since conventional cryptographic algorithms have been developed specifically for devices with limited resources; however, it turns out that such algorithms… More >

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