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  • Open Access

    ARTICLE

    Solving the Task Starvation and Resources Problem Using Optimized SMPIA in Cloud

    Mehran Mokhtari1, Homayun Motameni1,*, Peyman Bayat2

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 659-675, 2022, DOI:10.32604/csse.2022.021729 - 04 January 2022

    Abstract In this study, a new feature is added to the smart message passing interface (SMPI) approach (SMPIA) based on the prioritization method, which can completely eliminate the task starvation and lack of sufficient resources problems through prioritizing the tasks. The proposed approach is based on prioritizing the tasks and the urgency of implementation. Tasks are prioritized based on execution time, workload, the task with a more sensitive priority is executed earlier by the free source. The idea of demand-bound functions (DBFs) was extended to the SMPIA setting based on partitions and caps. For each task,… More >

  • Open Access

    ARTICLE

    Be Called and Be Healthier: How Does Calling Influence Employees’ Anxiety and Depression in the Workplace?

    Wenyuan Jin1, Jialing Miao2, Yuanfang Zhan3,*

    International Journal of Mental Health Promotion, Vol.24, No.1, pp. 1-12, 2022, DOI:10.32604/IJMHP.2022.018624 - 20 December 2021

    Abstract Despite limited studies have found the negative relationships between calling and mental health symptoms, its underlying mechanism is still unknown. Drawing on the conservation of resources theory (COR), this study developed the resources model that explains the relationships between career calling, anxiety and depression, and the underlying mechanism. With a sample of 628 employees from the two-wave survey, the theorized model was tested. The results showed that career calling was able to decrease the levels of employees’ anxiety and depression, and two important resources (i.e., personal growth, and meaningful work) provided explanatory mechanisms for the More >

  • Open Access

    ARTICLE

    Genotype Screening of Recipient Resources with High Regeneration and Transformation Efficiency in Chrysanthemum

    Yajun Li1,#, Yumeng Cui1,#, Bingjie Wang1, Yue Li1, Mengmeng Zhang2, Silan Dai1, He Huang1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 869-888, 2022, DOI:10.32604/phyton.2022.018659 - 09 December 2021

    Abstract Genetic transformation is one of the key steps in the molecular breeding of chrysanthemum, which relies on an optimal regeneration and transformation system. However, the regeneration system of different chrysanthemum cultivars varies, and the regeneration time of most cultivars is long. To screen cultivars with highly efficient regeneration, leaves and shoot tip thin cell layers (tTCL) from eight chrysanthemum cultivars with different flower colors and flower types were cultured on Murashige and Skoog media (MS) supplemented with 1.0–5.0 mg L−1 6-benzylaminopurine (6-BA) and 0.1–1.0 mg L−1 α-naphthaleneacetic (NAA). The results showed that the most efficient regeneration… More >

  • Open Access

    ARTICLE

    Hybrid Renewable Energy Resources Management for Optimal Energy Operation in Nano-Grid

    Faiza Qayyum1, Faisal Jamil1, Shabir Ahmad2, Do-Hyeun Kim1,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2091-2105, 2022, DOI:10.32604/cmc.2022.019898 - 07 December 2021

    Abstract Renewable energy resources are deemed a potential energy production source due to their cost efficiency and harmless reaction to the environment, unlike non-renewable energy resources. However, they often fail to meet energy requirements in unfavorable weather conditions. The concept of Hybrid renewable energy resources addresses this issue by integrating both renewable and non-renewable energy resources to meet the required energy load. In this paper, an intelligent cost optimization algorithm is proposed to maximize the use of renewable energy resources and minimum utilization of non-renewable energy resources to meet the energy requirement for a nanogrid infrastructure.… More >

  • Open Access

    ARTICLE

    Performance Analysis of Low Power Interference Cancellation Architecture for OFDM System

    N. Manikanda Devarajan1,*, S. Thenmozhi2, K. Jayaram3, R. Saravanakumar4

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1167-1178, 2022, DOI:10.32604/iasc.2022.021558 - 17 November 2021

    Abstract Orthogonal Frequency Division Multiplexing (OFDM) is a wireless communication technology that is used for highly reliable and high data rate communication. In a multi-user OFDM system, the interference has occurred in the receiver side between the consecutive OFDM symbols. This interference reduces the performance of the OFDM system. To achieve good quality in received symbols the interference level should be minimized. The conventional cancellation system requires higher interference reduction time and power. These limitations of the conventional interference cancellation architectures for OFDM systems are overcome by proposing efficient and low power interference cancellation architecture. Hence,… More >

  • Open Access

    ARTICLE

    Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network

    Dan Wu1, Yanbo Che1, Wei Li2,*, Wei He3, Dongyi Li4

    Energy Engineering, Vol.118, No.5, pp. 1549-1564, 2021, DOI:10.32604/EE.2021.014818 - 16 July 2021

    Abstract With the significant progress of the “coal to electricity” project, the electric kiln equipment began to be connected to the distribution network on a large scale, which caused power quality problems such as low voltage, high harmonic distortion rate, and high reactive power loss. This paper proposes a two-stage power grid comprehensive resource optimization configuration model. A multi-objective optimization solution based on the joint simulation platform of Matlab and OpenDSS is developed. The solution aims to control harmonics and optimize reactive power. In the first stage, a multi-objective optimization model is established to minimize the… More >

  • Open Access

    ARTICLE

    On Computing the Suitability of Non-Human Resources for Business Process Analysis

    Abid Sohail1,*, Khurram Shahzad2, P. D. D. Dominic3, Muhammad Arif Butt2, Muhammad Arif4, Muhammad Imran Tariq5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 303-319, 2021, DOI:10.32604/cmc.2021.014201 - 12 January 2021

    Abstract Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service. Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task. In continuation of our previous work, we categorize resources into human and non-human resources. For instance, in the healthcare domain, human resources include doctors, nurses, and other associated staff responsible for the execution of healthcare activities; whereas the non-human resources include surgical and other equipment needed for execution. In this study, we contend that… More >

  • Open Access

    ARTICLE

    Video Preview Generation for Interactive Educational Digital Resources Based on the GUI Traversal

    Xiaohong Shi1,3, Chao Ma2, Yongsheng Rao3,*, Xiangping Chen4, Jingzhong Zhang3

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 917-932, 2020, DOI:10.32604/iasc.2020.010124

    Abstract The interactive educational digital resources (IEDRs) are more and more prevalent in all levels of education. With the proliferation of the Internet, more and more IEDRs are being shared online. How to aid users to explore helpful resources effectively and efficiently has become a challenge. The static preview of resources that current research has mainly focused on is ineffective for the IEDRs, because of the unique feature of the IEDRs that the knowledge is crucial for the users’ comprehension and is hidden in the process of interaction. To unfold the hidden crucial knowledge and… More >

  • Open Access

    ARTICLE

    Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

    Wei Liang1, 2, Yang Ni3, Tingyi Li1, Xuejiao Lin1, Soo-Jin Chung1, *

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1411-1424, 2020, DOI:10.32604/cmc.2020.011166 - 20 August 2020

    Abstract Agricultural culture is a productive activity about education and management. It aims at high efficiency and high quality, uses technology as its means, and takes nature as its carrier. Agricultural cultural resources are the product of the rapid development of modern economy. It promotes the development of the national economy and profoundly affects people's production and life. DEA model, also known as data envelope analysis method, is an algorithm that uses multiple data decision units for input and output training to obtain the final model. This article explains the concept and basic characteristics of agricultural… More >

  • Open Access

    ARTICLE

    Application Centric Virtual Machine Placements to Minimize Bandwidth Utilization in Datacenters

    Muhammad Abdullah1,*, Saad Ahmad Khan1, Mamdouh Alenez2, Khaled Almustafa3, Waheed Iqbal1

    Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 13-25, 2020, DOI:10.31209/2018.100000047

    Abstract An efficient placement of virtual machines (VMs) in a cloud datacenter is important to maximize the utilization of infrastructure. Most of the existing work maximises the number of VMs to place on a minimum number of physical machines (PMs) to reduce energy consumption. Recently, big data applications become popular which are mostly hosted on cloud datacenters. Big data applications are deployed on multiple VMs and considered data and communication intensive applications. These applications can consume most of the datacenter bandwidth if VMs do not place close to each other. In this paper, we investigate the More >

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