Chao-Lung Yang^1,*, Atinkut Atinafu Yilma^1,2, Bereket Haile Woldegiorgis², Hendrik Tampubolon^3,4, Hendri Sutrisno⁵

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 233-254, 2024, DOI:10.32604/iasc.2024.043091

Abstract This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations. Since real-time production process monitoring is critical in today’s smart manufacturing. The more robust the monitoring model, the more reliable a process is to be under control. In the past, many researchers have developed real-time monitoring methods to detect process shifts early. However, these methods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties. In this paper, a robust monitoring model combining Gated Recurrent Unit (GRU) and Random Forest (RF) with Real-Time Contrast… More >

Yongjiang Zhao, Haoyi Zhong, Chang Cyoon Lim^*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 449-471, 2024, DOI:10.32604/cmc.2024.048771

Abstract This paper examines the difficulties of managing distributed power systems, notably due to the increasing use of renewable energy sources, and focuses on voltage control challenges exacerbated by their variable nature in modern power grids. To tackle the unique challenges of voltage control in distributed renewable energy networks, researchers are increasingly turning towards multi-agent reinforcement learning (MARL). However, MARL raises safety concerns due to the unpredictability in agent actions during their exploration phase. This unpredictability can lead to unsafe control measures. To mitigate these safety concerns in MARL-based voltage control, our study introduces a novel approach: Safety-Constrained Multi-Agent Reinforcement Learning… More >

Yanhuan Lin^1,#, Hua Du^2,#, Zhitao Ye², Shuqi Wang², Zhen Wang², Xiaojuan Liu^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 137-150, 2024, DOI:10.32604/phyton.2023.044996

Abstract PDI is a molecular chaperone and plays an important role in Endoplasmic Reticulum quality control (ERQC). PDI participates in the refolding of the misfolded/unfolded proteins to maintain cellular homeostasis under different stresses. However, bioinformatic characteristics and potential functions of PDIs in diatom Phaeodactylum tricornutum (Pt) are still unknown so far. Hence, the genome-wide characteristics of PtPDI proteins in P. tricornutum were first studied via bioinformatic and transcriptomic methods. 42 PtPDI genes were identified from the genome of P. tricornutum. The motif, protein structure, classification, number of introns, phylogenetic relationship, and the expression level of 42 PtPDI genes under the tunicamycin… More >

Pearlyne Willie Wong, Huay Woon You^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 891-901, 2023, DOI:10.32604/ijmhp.2023.028205

Abstract This study aims to investigate the phenomenon of technological gadget usage among pre-university students, which include the time spent using them, as well as their purpose and influence. A descriptive research design was adopted in this study. 131 pre-university students were randomly selected to answer a structured questionnaire. They were informed two weeks earlier to keep track on their time spent on technological devices, before answering the questionnaire. Findings showed that 99.2% of the respondents owned at least two technological gadgets, and all respondents own a smartphone. The main two gadgets that respondents spend at least 4 h a day… More > Graphic Abstract

Azimbek Khudoyberdiev¹, Mohammed Abdul Jaleel¹, Israr Ullah², DoHyeun Kim^3,*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5471-5499, 2023, DOI:10.32604/cmc.2023.036898

Abstract The requirement for high-quality seafood is a global challenge in today’s world due to climate change and natural resource limitations. Internet of Things (IoT) based Modern fish farming systems can significantly optimize seafood production by minimizing resource utilization and improving healthy fish production. This objective requires intensive monitoring, prediction, and control by optimizing leading factors that impact fish growth, including temperature, the potential of hydrogen (pH), water level, and feeding rate. This paper proposes the IoT based predictive optimization approach for efficient control and energy utilization in smart fish farming. The proposed fish farm control mechanism has a predictive optimization… More >

Sakthiseswari Ganasan¹, You Huay Woon^2,*, Zainol Mustafa¹, Dadasaheb G. Godase³

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

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 economic model was used to… More >

P. Ganesan^1,*, S. Arockia Edwin Xavier²

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2979-2996, 2023, DOI:10.32604/iasc.2023.029264

Abstract Typically, smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of attacks. These vulnerabilities might cause the attackers or intruders to collapse the entire network system thus breaching the confidentiality and integrity of smart grid systems. Thus, for this purpose, Intrusion detection system (IDS) plays a pivotal part in offering a reliable and secured range of services in the smart grid framework. Several existing approaches are there to detect the intrusions in smart grid framework, however they are utilizing an old dataset to detect anomaly thus resulting in reduced rate of… More >

Pierre-Frédéric Villard^1,*, Maureen Boudart², Ioana Ilea³, Fabien Pierre¹

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1639-1648, 2022, DOI:10.32604/fdmp.2022.021726

Abstract Industrial woven meshes are composed of metal materials and are often used in construction, industrial and residential activities or applications. The objective of this work is defect detection in industrial fabrics in the quality control stage. In order to overcome the limitations of manual methods, which are often tedious and time-consuming, we propose a strategy that can automatically detect defects in micrometric steel meshes by means of a Convolutional Neural Network. The database used for such a purpose comes from real problem data for anomaly detection in micrometric woven meshes. This detection is performed through supervised classification with a Convolutional… More >

Dequan Li^1,2, Jiming Li^1,2, Xu Zhou^1,2, JinRong Hu³, Xin Wang⁴, Jing Duan^1,2,*

Computer Systems Science and Engineering, Vol.41, No.2, pp. 539-555, 2022, DOI:10.32604/csse.2022.019551

Abstract A new type of air-ground communication application framework named FACT (framework for air-ground communication technology with weather-modification aircraft) is presented to track and command weather-modification aircraft to perform ideal cloud seeding. FACT provides a set of solutions from three perspectives, namely, onboard, onground and air-to-ground, with the core purpose of solving the problems of the rapid exchange of information, contract analysis and identifying potential seeding areas when flight plans and meteorological conditions change. On board, the observed data are processed centrally and transmitted downward through air-to-ground communication. The real-time application and sharing of aircraft detection data are strengthened on the… More >

Raissa Uskenbayeva¹, Aigerim Altayeva^1,*, Faryda Gusmanova², Gluyssya Abdulkarimova³, Saule Berkimbaeva⁴, Kuralay Dalbekova⁴, Azizah Suiman⁵, Akzhunis Zhanseitova⁶, Aliya Amreyeva²

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3837-3853, 2022, DOI:10.32604/cmc.2022.020491

Abstract Providing comfortable indoor air quality control in residential construction is an exceedingly important issue. This is due to the structure of the fast response controller of air quality. The presented work shows the breakdown and creation of a mathematical model for an interactive, nonlinear system for the required comfortable air quality. Furthermore, the paper refers to designing traditional proportional integral derivative regulators and proportional, integral, derivative regulators with independent parameters based on a backpropagation neural network. In the end, we perform the experimental outputs of a suggested backpropagation neural network-based proportional, integral, derivative controller and analyze model results by applying… More >