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  • Open Access

    ARTICLE

    Optimal Management of Energy Storage Systems for Peak Shaving in a Smart Grid

    Firas M. Makahleh1, Ayman Amer2, Ahmad A. Manasrah1, Hani Attar2, Ahmed A. A. Solyman3, Mehrdad Ahmadi Kamarposhti4,*, Phatiphat Thounthong5

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3317-3337, 2023, DOI:10.32604/cmc.2023.035690 - 31 March 2023

    Abstract In this paper, the installation of energy storage systems (EES) and their role in grid peak load shaving in two echelons, their distribution and generation are investigated. First, the optimal placement and capacity of the energy storage is taken into consideration, then, the charge-discharge strategy for this equipment is determined. Here, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to calculate the minimum and maximum load in the network with the presence of energy storage systems. The energy storage systems were utilized in a distribution system with the aid of a peak load More >

  • Open Access

    ARTICLE

    Optimization of Quantum Cost for Low Energy Reversible Signed/Unsigned Multiplier Using Urdhva-Tiryakbhyam Sutra

    Marwa A. Elmenyawi1,2,*, Radwa M. Tawfeek1

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1827-1844, 2023, DOI:10.32604/csse.2023.036474 - 09 February 2023

    Abstract One of the elementary operations in computing systems is multiplication. Therefore, high-speed and low-power multipliers design is mandatory for efficient computing systems. In designing low-energy dissipation circuits, reversible logic is more efficient than irreversible logic circuits but at the cost of higher complexity. This paper introduces an efficient signed/unsigned 4 × 4 reversible Vedic multiplier with minimum quantum cost. The Vedic multiplier is considered fast as it generates all partial product and their sum in one step. This paper proposes two reversible Vedic multipliers with optimized quantum cost and garbage output. First, the unsigned Vedic… More >

  • Open Access

    ARTICLE

    Designing Adaptive Multiple Dependent State Sampling Plan for Accelerated Life Tests

    Pramote Charongrattanasakul1, Wimonmas Bamrungsetthapong2,*, Poom Kumam3

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1631-1651, 2023, DOI:10.32604/csse.2023.036179 - 09 February 2023

    Abstract A novel adaptive multiple dependent state sampling plan (AMDSSP) was designed to inspect products from a continuous manufacturing process under the accelerated life test (ALT) using both double sampling plan (DSP) and multiple dependent state sampling plan (MDSSP) concepts. Under accelerated conditions, the lifetime of a product follows the Weibull distribution with a known shape parameter, while the scale parameter can be determined using the acceleration factor (AF). The Arrhenius model is used to estimate AF when the damaging process is temperature-sensitive. An economic design of the proposed sampling plan was also considered for the… More >

  • Open Access

    ARTICLE

    Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks

    Alla Abbas Khadir1, Seyed Amin Hosseini Seno1,2,*, Baydaa Fadhil Dhahir2,3, Rahmat Budiarto4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 2223-2234, 2023, DOI:10.32604/csse.2023.032316 - 03 November 2022

    Abstract Fog computing became a traditional OffLad Destination (OLD) to compute the offloaded tasks of the Internet of Vehicles (IoV). Nevertheless, the limited computing resources of the fog node leads to re-offload these tasks to the neighboring fog nodes or the cloud. Thus, the IoV will incur additional offloading costs. In this paper, we propose a new offloading scheme by utilizing RoadSide Parked Vehicles (RSPV) as an alternative OLD for IoV. The idle computing resources of the RSPVs can compute large tasks with low offloading costs compared with fog nodes and the cloud. Finally, a performance More >

  • Open Access

    ARTICLE

    Memory-Type Control Charts Through the Lens of Cost Parameters

    Sakthiseswari Ganasan1, You Huay Woon2,*, Zainol Mustafa1, Dadasaheb G. Godase3

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1-10, 2023, DOI:10.32604/iasc.2023.032062 - 29 September 2022

    Abstract A memory-type control chart utilizes previous information for chart construction. An example of a memory-type chart is an exponentially-weighted moving average (EWMA) control chart. The EWMA control chart is well-known and widely employed by practitioners for monitoring small and moderate process mean shifts. Meanwhile, the EWMA median chart is robust against outliers. In light of this, the economic model of the EWMA and EWMA median control charts are commonly considered. This study aims to investigate the effect of cost parameters on the out-of-control average run length in implementing EWMA and EWMA median control charts. The… More >

  • Open Access

    ARTICLE

    Intelligent SLAM Algorithm Fusing Low-Cost Sensors at Risk of Building Collapses

    Dahyeon Kim, Junho Ahn*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1657-1671, 2023, DOI:10.32604/cmc.2023.029216 - 22 September 2022

    Abstract When firefighters search inside a building that is at risk of collapse due to abandonment or disasters such as fire, they use old architectural drawings or a simple monitoring method involving a video device attached to a robot. However, using these methods, the disaster situation inside a building at risk of collapse is difficult to detect and identify. Therefore, we investigate the generation of digital maps for a disaster site to accurately analyze internal situations. In this study, a robot combined with a low-cost camera and two-dimensional light detection and ranging (2D-lidar) traverses across a… More >

  • Open Access

    ARTICLE

    Towards Fully Secure 5G Ultra-Low Latency Communications: A Cost-Security Functions Analysis

    Borja Bordel1,*, Ramón Alcarria1, Joaquin Chung2, Rajkumar Kettimuthu2, Tomás Robles1, Iván Armuelles3

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 855-880, 2023, DOI:10.32604/cmc.2023.026787 - 22 September 2022

    Abstract Future components to enhance the basic, native security of 5G networks are either complex mechanisms whose impact in the requiring 5G communications are not considered, or lightweight solutions adapted to ultra-reliable low-latency communications (URLLC) but whose security properties remain under discussion. Although different 5G network slices may have different requirements, in general, both visions seem to fall short at provisioning secure URLLC in the future. In this work we address this challenge, by introducing cost-security functions as a method to evaluate the performance and adequacy of most developed and employed non-native enhanced security mechanisms in… More >

  • Open Access

    ARTICLE

    An IoT-Based Energy Conservation Smart Classroom System

    Talal H. Noor1,*, El-Sayed Atlam2, Abdulqader M. Almars1, Ayman Noor3, Amer S. Malki1

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3785-3799, 2023, DOI:10.32604/iasc.2023.032250 - 17 August 2022

    Abstract With the increase of energy consumption worldwide in several domains such as industry, education, and transportation, several technologies played an influential role in energy conservation such as the Internet of Things (IoT). In this article, we describe the design and implementation of an IoT-based energy conservation smart classroom system that contributes to energy conservation in the education domain. The proposed system not only allows the user to access and control IoT devices (e.g., lights, projectors, and air conditions) in real-time, it also has the capability to aggregate the estimated energy consumption of an IoT device,… More >

  • Open Access

    ARTICLE

    Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset

    Riaz Muhammad1, Ahmed Ali1, M. Abid Anwar1, Toufique Ahmed Soomro2,*, Omar AlShorman3, Adel Alshahrani4, Mahmoud Masadeh5, Ghulam Md Ashraf6,7, Naif H. Ali8, Muhammad Irfan9, Athanasios Alexiou10

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2821-2835, 2023, DOI:10.32604/iasc.2023.026279 - 17 August 2022

    Abstract Electroencephalogram (EEG) is a method of capturing the electrophysiological signal of the brain. An EEG headset is a wearable device that records electrophysiological data from the brain. This paper presents the design and fabrication of a customized low-cost Electroencephalogram (EEG) headset based on the open-source OpenBCI Ultracortex Mark IV system. The electrode placement locations are modified under a 10–20 standard system. The fabricated headset is then compared to commercially available headsets based on the following parameters: affordability, accessibility, noise, signal quality, and cost. First, the data is recorded from 20 subjects who used the EEG… More >

  • Open Access

    ARTICLE

    Low-Cost Real-Time Automated Optical Inspection Using Deep Learning and Attention Map

    Yu Shih, Chien-Chih Kuo, Ching-Hung Lee*

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2087-2099, 2023, DOI:10.32604/iasc.2023.027659 - 19 July 2022

    Abstract The recent trends in Industry 4.0 and Internet of Things have encouraged many factory managers to improve inspection processes to achieve automation and high detection rates. However, the corresponding cost results of sample tests are still used for quality control. A low-cost automated optical inspection system that can be integrated with production lines to fully inspect products without adjustments is introduced herein. The corresponding mechanism design enables each product to maintain a fixed position and orientation during inspection to accelerate the inspection process. The proposed system combines image recognition and deep learning to measure the More >

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