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Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data

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Computers, Materials & Continua 2024年第8期80卷 2301-2330页

作者： Uddagiri Sirisha Parvathaneni Naga Srinivasu Panguluri Padmavathi Seongki Kim Aruna Pavate Jana shafi Muhammad Fazal Ijaz Department of Computer Science and Engineering Prasad V Potluri Siddhartha Institute of TechnologyVijayawada520007India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravatiAndhra Pradesh522503India Department of Tele informatics Engineering Federal University of CearáFortaleza60455-970Brazil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522302India Department of Computer Engineering Chosun UniversityGwangju61452Republic of Korea School of CSIT Symbiosis Skills and Professional UniversityPune412101India Department of Computer Engineering and Information College of Engineering inWadi AlddawasirPrince Sattam bin Abdulaziz UniversityWadi Alddawasir11991Saudi Arabia School of IT and Engineering Melbourne Institute of TechnologyMelbourne3000Australia

Fetal health care is vital in ensuring the health of pregnant women and the *** check-ups need to be taken by the mother to determine the status of the fetus’growth and identify any potential *** know the status of the fetus,doctors monitor blood reports,Ultrasounds,cardiotocography(CTG)data,***,in this research,we have considered CTG data,which provides information on heart rate and uterine contractions during *** researchers have proposed various methods for classifying the status of fetus *** processing of CTG data is time-consuming and ***,automated tools should be used to classify fetal *** study proposes a novel neural network-based architecture,the Dynamic Multi-Layer Perceptron model,evaluated from a single layer to several layers to classify fetal *** strategies were applied,including pre-processing data using techniques like Balancing,Scaling,Normalization hyperparameter tuning,batch normalization,early stopping,etc.,to enhance the model’s performance.A comparative analysis of the proposed method is done against the traditional machine learning models to showcase its accuracy(97%).An ablation study without any pre-processing techniques is also *** study easily provides valuable interpretations for healthcare professionals in the decision-making process.

关键词： Fetal health cardiotocography data deep learning dynamic multi-layer perceptron feature engineering

On the Zeros of a Special Class of Polynomials

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Journal of Mathematical Research with Applications 2024年第4期44卷 470-474页

作者： Mahnaz shafi CHISHTI Vipin Kumar TYAGI Mohammad Ibrahim MIR School of Basic and Applied Sciences Shobhit Institute of Engineering and Technology (Deemed to be University) Department of Mathematics University of KashmirSouth Campus

Let P be a complex polynomial of the form P （z）=（λz-a）mΠj=1n-m（z-zj）,where|zj|≥1,1≤j≤*** aim of this paper is to obtain generalisation of a result due to Zargar and Manzoor and a result due to Mir,Nazir and *** shall also obtain an interesting bound which contains the zeros of the second derivative of P （z）.

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Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

Implementation of artificial intelligence techniques in microgrid control environment:Current progress and future scopes

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能源与人工智能(英文) 2022年第2期8卷 213-231页

作者： Rohit Trivedi shafi Khadem International Energy Research Centre Tyndall National InstituteUCCCorkIreland

Microgrids are gaining popularity by facilitating distributed energy resources(DERs)and forming essential consumer/prosumer centric integrated energy ***,coordination and control of multiple DERs and managing the energy transition in this environment is a strenuous *** control techniques are not enough to support dynamic microgrid *** of Artificial Intelligence(AI)techniques seems to be a promising solution to enhance the control and operation of microgrids in future smart grid ***,this paper briefly reviews the control architectures,existing conventional controlling techniques,their drawbacks,the need for intelligent controllers and then extensively reviews the possibility of AI implementation in different control structures with a special focus on the hierarchical control *** paper also investigates the AI-based control strategies in networked/interconnected/multi-microgrids *** concludes with the summary and future scopes of AI implementation in hierarchical control layers and structures including single and networked microgrids environments.

关键词： Artificial intelligence Microgrid control architectures Hierarchical control Networked microgrids Machine learning Distributed energy resources

The Application of Hybrid Krill Herd Artificial hummingbird Algorithm for Scientific Workflow Scheduling in Fog Computing

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Journal of Bionic Engineering 2023年第5期20卷 2443-2464页

作者： Aveen Othman Abdalrahman Daniel Pilevarzadeh shafi Ghafouri Ali Ghaffari Department of Civil Engineering Garmian UniversityBardasureKalarIraq Department of Computer Engineering Tabriz BranchIslamic Azad UniversityTabriz***Iran Computer Engineering Department Faculty of Engineering and Natural SciencesIstinye UniversityIstanbulTurkey

Fog Computing(FC)provides processing and storage resources at the edge of the Internet of Things(IoT).By doing so,FC can help reduce latency and improve reliability of IoT *** energy consumption of servers and computing resources is one of the factors that directly affect conservation costs in fog *** consumption can be reduced by efficacious scheduling methods so that tasks are offloaded on the best possible *** deal with this problem,a binary model based on the combination of the Krill Herd Algorithm(KHA)and the Artificial hummingbird Algorithm(AHA)is introduced as Binary KHA-AHA(BAHA-KHA).KHA is used to improve ***,the BAHA-KHA local optimal problem for task scheduling in FC environments is solved using the dynamic voltage and frequency scaling(DVFS)*** Heterogeneous Earliest Finish Time(HEFT)method is used to discover the order of task flow *** goal of the BAHA-KHA model is to minimize the number of resources,the communication between dependent tasks,and reduce energy *** this paper,the FC environment is considered to address the workflow scheduling issue to reduce energy consumption and minimize makespan on fog *** results were tested on five different workflows(Montage,CyberShake,LIGO,SIPHT,and Epigenomics).The evaluations show that the BAHA-KHA model has the best performance in comparison with the AHA,KHA,PSO and GA *** BAHA-KHA model has reduced the makespan rate by about 18%and the energy consumption by about 24%in comparison with *** is a preview of subscription content,log in via an institution to check access.

关键词： Workflow Scheduling Fog Computing Internet of Things hummingbird Algorithm Krill Algorithm

Biochar-mediated removal of pharmaceutical compounds from aqueous matrices via adsorption

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Waste Disposal and Sustainable Energy 2023年第1期5卷 37-62页

作者： Sahil Chauhan Tajamul shafi Brajesh Kumar Dubey Shamik Chowdhury School of Environmental Science and Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal721302India Department of Civil Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal721302India

Pharmaceutical is one of the noteworthy classes of emerging contaminants. These biologically active compounds pose a range of deleterious impacts on human health and the environment. This is attributed to their refractory behavior, poor biodegradability, and pseudopersistent nature. Their large-scale production by pharmaceutical industries and subsequent widespread utilization in hospitals, community health centers, and veterinary facilities, among others, have significantly increased the occurrence of pharmaceutical residues in various environmental compartments. Several technologies are currently being evaluated to eliminate pharmaceutical compounds (PCs) from aqueous environments. Among them, adsorption appears as the most viable treatment option because of its operational simplicity and low cost. Intensive research and development efforts are, therefore, currently underway to develop inexpensive adsorbents for the effective abatement of PCs. Although numerous adsorbents have been investigated for the removal of PCs in recent years, biochar-based adsorbents have garnered tremendous scientific attention to eliminate PCs from aqueous matrices because of their decent specific surface area, tunable surface chemistry, scalable production, and environmentally benign nature. This review, therefore, attempts to provide an overview of the latest progress in the application of biochar for the removal of PCs from wastewater. Additionally, the fundamental knowledge gaps in the domain knowledge are identified and novel strategic research guidelines are laid out to make further advances in this promising approach towards sustainable development.

关键词： Pharmaceuticals Adsorption Adsorbents Biochar Wastewater treatment

High Performance MPI over the Slingshot Interconnect

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Journal of Computer Science & Technology 2023年第1期38卷 128-145页

作者： Kawthar shafie Khorassani Chen-Chun Chen Bharath ramesh Aamir shafi Hari Subramoni Dhabaleswar K.Panda Department of Computer Science and Engineering The Ohio State UniversityColumbusOH 43210U.S.A.

The Slingshot interconnect designed by HPE/Cray is becoming more relevant in high-performance computing with its deployment on the upcoming exascale *** particular,it is the interconnect empowering the first exascale and highest-ranked supercomputer in the world,*** offers various features such as adaptive routing,congestion control,and isolated *** deployment of newer interconnects sparks interest related to performance,scalability,and any potential bottlenecks as they are critical elements contributing to the scalability across nodes on these *** this paper,we delve into the challenges the Slingshot interconnect poses with current state-of-the-art MPI(message passing interface)*** particular,we look at the scalability performance when using Slingshot across *** present a comprehensive evaluation using various MPI and communication libraries including Cray MPICH,Open-MPI+UCX,RCCL,and MVAPICH2 on CPUs and GPUs on the Spock system,an early access cluster deployed with Slingshot-10,AMD MI100 GPUs and AMD Epyc Rome CPUs to emulate the Frontier *** also evaluate preliminary CPU-based support of MPI libraries on the Slingshot-11 interconnect.

关键词： AMD GPU interconnect technology MPI(message passing interface) Slingshot

Analyzing and Enabling the Harmonious Coexistence of Heterogeneous Industrial Wireless Networks

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Computers, Materials & Continua 2022年第10期73卷 1671-1690页

作者： Bilal Khan Danish Shehzad Numan shafi Ga-Young Kim Muhammad Umar Aftab Department of Computer Science National University of Computer and Emerging SciencesIslamabadChiniot-Faisalabad CampusChiniot35400Pakistan Faculty of General Education Kangnam UniversityKorea

Nowadays multiple wireless communication systems operate in industrial environments side by *** such an environment performance of one wireless network can be degraded by the collocated hostile wireless network having higher transmission power or higher carrier sensing *** the previous research works which considered IEEE 802.15.4 for the Industrial Wireless communication systems(iWCS)this paper examines the coexistence of IEEE 802.11 based iWCS used for delay-stringent communication in process automation and gWLAN(general-purpose WLAN)used for non-real time *** this paper,we present a Markov chain-based performance model that described the transmission failure of iWCS due to geographical collision with *** presented analytic model accurately determines throughput,packet transaction delay,and packet loss probability of iWCS when it is collocated with *** results of the Markov model match more than 90%with our simulation ***,we proposed an adaptive transmission power control technique for iWCS to overcome the potential interferences caused by the gWLAN *** simulation results show that the proposed technique significantly improves iWCS performance in terms of throughput,packet transaction,and cycle period ***,it enables the industrial network for the use of delay critical applications in the presence of gWLAN without affecting its performance.

关键词： Round robin distributed coordination function interference csma ieee 802.11 factory automation process automation

Channel Measurements and Models for 6G

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China Communications 2022年第11期19卷 I0002-I0004页

作者： Jianhua Zhang Bo Ai Chengxiang Wang Xiang Cheng Mansoor shafi Wei Fan BUPT China Inst Commun Beijing Peoples R China BUPT CMCC Joint Res Ctr Beijing Peoples R China Beijing Jiaotong Univ Beijing Peoples R China State Key Lab rail Traff Control & Safety Beijing Peoples R China Chinese Inst Elect Beijing Peoples R China Acad Europaea Aalborg Denmark Peking Univ Beijing Peoples R China Victoria Univ Wellington Sch Engn Wellington New Zealand Aalborg Univ Antennas Propagat & Millimeter Wave Syst APMS Sec Aalborg Denmark

In the early stage of 6G research,carrying out research on channel measurements and models is one of the fundamental and prerequisite works,as well as full of the *** by the demand for multiple frequency bands,versatile scenarios,and various new technologies in the future,6G channels are expanding in multiple dimensions such as the space-time-frequency *** all make 6G channel measurement and modeling research face a series of new challenges,e.g.,non-stationarity in multiple dimensions,the obvious increase in modeling complexity,and changes in theoretical premises and *** is therefore clear that more efforts are needed to understand propagation characteristics,especially in the new scenes and applications,and to develop a new paradigm for 6G channel modeling.

关键词： channel dimensions versatile