Mohammad Anwar-Us-Saadat¹, Janeshka Goonewardena², Bidur Kafle², Mahmud Ashraf^2,*, Mahbube Subhani²

Journal of Renewable Materials, Vol.10, No.6, pp. 1575-1606, 2022, DOI:10.32604/jrm.2022.018919

Abstract Cross laminated timber (CLT) is an innovative and environment friendly engineered timber product with superior structural performance. CLT offers strong resistance against both in-plane and out-of-plane loading. Hence, it is widely used as floors, roofs or wall elements. Considerable experimental research on CLT under various loading conditions has been done in the recent past. This article presents a comprehensive review of various design methods to determine basic mechanical properties such as tension, compression and rolling shear strength of CLT with primary focus on Norway spruce. All relevant experimental data available from existing literature were collated and consequently been used to… More >

Idrees Sarhan Kocher^*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3821-3838, 2022, DOI:10.32604/cmc.2022.023478

Abstract Applications of Wireless Sensor devices are widely used by various monitoring sections such as environmental monitoring, industrial sensing, habitat modeling, healthcare and enemy movement detection systems. Researchers were found that 16 bytes packet size (payload) requires Media Access Control (MAC) and globally unique network addresses overheads as more as the payload itself which is not reasonable in most situations. The approach of using a unique address isn't preferable for most Wireless Sensor Networks (WSNs) applications as well. Based on the mentioned drawbacks, the current work aims to fill the existing gap in the field area by providing two strategies. First,… More >

Manoj Kumar^*, Suman

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1641-1660, 2022, DOI:10.32604/cmc.2022.021793

Abstract Cloud computing has gained widespread popularity over the last decade. Scheduling problem in cloud computing is prejudiced due to enormous demands of cloud users. Meta-heuristic techniques in cloud computing have exhibited high performance in comparison to traditional scheduling algorithms. This paper presents a novel hybrid Nesterov Accelerated Gradient-based Cuckoo Search Algorithm (NAGCSA) to address the scheduling issue in cloud computing. Nesterov Accelerated Gradient can address trapping at local minima in CSA by updating the position using future approximation. The local search in the proposed algorithm is performed by using Nesterov Accelerated Gradient, while the global search is performed by using… More >

Samar Nour^1,*, Sameh A. Salem^1,2, Shahira M. Habashy¹

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4447-4466, 2022, DOI:10.32604/cmc.2022.020775

Abstract Recently, Multicore systems use Dynamic Voltage/Frequency Scaling (DV/FS) technology to allow the cores to operate with various voltage and/or frequencies than other cores to save power and enhance the performance. In this paper, an effective and reliable hybrid model to reduce the energy and makespan in multicore systems is proposed. The proposed hybrid model enhances and integrates the greedy approach with dynamic programming to achieve optimal Voltage/Frequency (Vmin/F) levels. Then, the allocation process is applied based on the available workloads. The hybrid model consists of three stages. The first stage gets the optimum safe voltage while the second stage sets… More >

Hashem Alyami¹, Mohd Nadeem², Wael Alosaimi³, Abdullah Alharbi³, Rajeev Kumar^4,*, Bineet Kumar Gupta⁴, Alka Agrawal², Raees Ahmad Khan²

Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 707-716, 2022, DOI:10.32604/iasc.2022.020780

Abstract Software or web application security is the main objective in the era of Information Technology (IT) and Artificial Intelligence (AI). Distinguishing proof of security at the initial stage produces significant results to comprehend the administration of security relics for best potential outcomes. A security alternative gives several methods and algorithms to ensure the software security. Security estimation is the vital factor in assessing, administrating, controlling security to improve the nature of security. It is to be realized that assessment of security at early stage of development helps in identifying distinctive worms, dangers, weaknesses and threats. This paper will talk about… More >

Chia-Nan Wang¹, Hsien-Pin Hsu², Hsin-Pin Fu^3,*, Nguyen Ky Phuc Phan⁴, Van Thanh Nguyen⁵

Computer Systems Science and Engineering, Vol.40, No.1, pp. 17-36, 2022, DOI:10.32604/csse.2022.016992

Abstract In the competitive global marketplace, production scheduling plays a vital role in planning in manufacturing. Scheduling deals directly with the time to output products quickly and with a low production cost. This research examines case study of a Radio-Frequency Identification labeling department at Avery Dennison. The main objective of the company is to have a method that allows for the sequencing and scheduling of a set of jobs so it can be completed on or before the customer’s due date to minimize the number of late orders. This study analyzes the flexible flow shop scheduling problem with a sequence dependent… More >

B. Gomathi¹, S. T. Suganthi^2,*, Karthikeyan Krishnasamy³, J. Bhuvana⁴

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3693-3710, 2021, DOI:10.32604/cmc.2021.018159

Abstract Enterprises have extensively taken on cloud computing environment since it provides on-demand virtualized cloud application resources. The scheduling of the cloud tasks is a well-recognized NP-hard problem. The Task scheduling problem is convoluted while convincing different objectives, which are dispute in nature. In this paper, Multi-Objective Improved Monarch Butterfly Optimization (MOIMBO) algorithm is applied to solve multi-objective task scheduling problems in the cloud in preparation for Pareto optimal solutions. Three different dispute objectives, such as makespan, reliability, and resource utilization, are deliberated for task scheduling problems.The Epsilon-fuzzy dominance sort method is utilized in the multi-objective domain to elect the foremost… More >

Ngo Tung Son^1,2,*, Jafreezal Jaafar¹, Izzatdin Abdul Aziz¹, Bui Ngoc Anh², Hoang Duc Binh², Muhammad Umar Aftab³

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3429-3444, 2021, DOI:10.32604/cmc.2021.017710

Abstract The scheduling process that aims to assign tasks to members is a difficult job in project management. It plays a prerequisite role in determining the project’s quality and sometimes winning the bidding process. This study aims to propose an approach based on multi-objective combinatorial optimization to do this automatically. The generated schedule directs the project to be completed with the shortest critical path, at the minimum cost, while maintaining its quality. There are several real-world business constraints related to human resources, the similarity of the tasks added to the optimization model, and the literature’s traditional rules. To support the decision-maker… More >

Mohammad Reza Okhovvat¹, Mohammad Taghi Kheirabadi^1,*, Ali Nodehi¹, Morteza Okhovvat²

Computer Systems Science and Engineering, Vol.39, No.2, pp. 165-178, 2021, DOI:10.32604/csse.2021.05468

Abstract Wireless Sensor Actor Networks (WSANs) have contributed to the development of pervasive computing wherein time consideration to perform the tasks of pervasive applications is necessary. Hence, time constraint is one of the major challenges of WSANs. In this paper, we propose an analytical approach based on queuing theory to minimize the total time taken for completion of tasks, i.e., make-span, in WSANs with hybrid architecture. The best allocation rates of tasks to actor nodes are figured out through solving inequities and qualities resulting from a steady state analysis of the proposed model. Applying the calculated tasks arrival rates at each… More >

SAIKAT SAMANTA^1,#, ASHISH RANJAN SHARMA^2,#, ABINIT SAHA¹, MANOJ KUMAR SINGH¹, ARPITA DAS¹, MANOJIT BHATTACHARYA³, RUDRA PRASAD SAHA^1,*, SANG-SOO LEE^2,*, CHIRANJIB CHAKRABORTY^1,*

BIOCELL, Vol.45, No.5, pp. 1175-1186, 2021, DOI:10.32604/biocell.2021.015537

Abstract Bacteriophages are viruses that infect bacteria and can choose any one of the two alternative pathways for infection, i.e., lysis or lysogeny. Phage lysis is one of the conventional biological processes required to spread infection from one bacterium to another. Our analysis suggests that in the paradigm bacteriophage Mu, six proteins might be involved in host cell lysis. Mu has a broad host range, and Mu-like phages were found in both Gram-negative and Gram-positive bacteria. An analysis of the genomes of Mu and Mu-like phages could be useful in elucidating the lysis mechanism in this group of phages. A detailed… More >