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An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network

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Computer Systems Science & Engineering 2023年第9期46卷 3509-3525页

作者： Adnan Hussain sareer ul amin Muhammad Fayaz Sanghyun Seo Department of Computer Science Islamia College UniversityPeshawar25120Pakistan Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Department of Computer Engineering Cyprus International UniversityLefkosa99010Rep.of North Cyprus College of Art and Technology Chung-Ang.UniversityAnseong17546Korea

Hand Gesture Recognition(HGR)is a promising research area with an extensive range of applications,such as surgery,video game techniques,and sign language translation,where sign language is a complicated structured form of hand *** fundamental building blocks of structured expressions in sign language are the arrangement of the fingers,the orientation of the hand,and the hand’s position concerning the *** importance of HGR has increased due to the increasing number of touchless applications and the rapid growth of the hearing-impaired ***,real-time HGR is one of the most effective interaction methods between computers and *** a user-free interface with good recognition performance should be the goal of real-time HGR ***,Convolutional Neural Network(CNN)shows great recognition rates for different image-level classification *** is challenging to train deep CNN networks like VGG-16,VGG-19,Inception-v3,and Efficientnet-B0 from scratch because only some significant labeled image datasets are available for static hand gesture ***,an efficient and robust hand gesture recognition system of sign language employing finetuned Inception-v3 and Efficientnet-Bo network is proposed to identify hand gestures using a comparative small HGR *** show that Inception-v3 achieved 90%accuracy and 0.93%precision,0.91%recall,and 0.90%f1-score,respectively,while EfficientNet-B0 achieved 99%accuracy and 0.98%,0.97%,0.98%,precision,recall,and f1-score respectively.

关键词： Pretrained CNN hand gesture recognition transfer learning

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An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video

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Computer Systems Science & Engineering 2023年第9期46卷 3939-3958页

作者： sareer ul amin Yongjun Kim Irfan Sami Sangoh Park Sanghyun Seo Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Intelligent Convergence Research Lab. ETRIDaeJeon34129Korea Department of Electrical and Electronics Engineering Chung-Ang UniversitySeoul06974Korea College of Art and Technology Chung-Ang UniversityAnseong17546Korea

In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision *** is difficult to search for anomalous events manually in thesemassive video records since they happen infrequently and with a low probability in real-world monitoring ***,intelligent surveillance is a requirement of the modern day,as it enables the automatic identification of normal and aberrant behavior using artificial intelligence and computer vision *** this article,we introduce an efficient Attention-based deep-learning approach for anomaly detection in surveillance video(ADSV).At the input of the ADSV,a shots boundary detection technique is used to segment prominent ***,The Lightweight ConvolutionNeuralNetwork(LWCNN)model receives the segmented frames to extract spatial and temporal information from the intermediate *** that,spatial and temporal features are learned using Long Short-Term Memory(LSTM)cells and Attention Network from a series of frames for each anomalous activity in a *** detect motion and action,the LWCNN received chronologically sorted ***,the anomaly activity in the video is identified using the proposed trained ADSV *** experiments are conducted on complex and challenging benchmark *** addition,the experimental results have been compared to state-ofthe-artmethodologies,and a significant improvement is attained,demonstrating the efficiency of our ADSV method.

关键词： Attention-based anomaly detection video shots segmentation video surveillance computer vision deep learning smart surveillance system violence detection attention model

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Serious games in science education:a systematic literature review

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Virtual Reality & Intelligent Hardware 2022年第3期4卷 189-209页

作者： Mohib ulLAH sareer ul amin Muhammad MUNSIF Muhammad Mudassar Yamin Utkurbek SAFAEV Habib KHAN Salman KHAN Habib ulLAH Department of Computer Science Norwegian University of Science and Technology2815 GjøvikNorway Department of Computer Science Islamia College University Peshawar25000 Pakistan Department of Information Security and Communication Norwegian University of Science and Technology2815 GjøvikNorway Faculty of Science and Technology Norwegian University of Life Sciences1430ÅsNorway

Teaching science through computer games,simulations,and artificial intelligence(AI)is an increasingly active research *** this end,we conducted a systematic literature review on serious games for science education to reveal research trends and *** discussed the role of virtual reality(VR),AI,and augmented reality(AR)games in teaching science subjects like ***,we covered the research spanning between 2011 and 2021,investigated country-wise concentration and most common evaluation methods,and discussed the positive and negative aspects of serious games in science education in particular and attitudes towards the use of serious games in education in general.

关键词： Serious games Simulations,Artificial intelligence,Virtual reality,Augmented reality Games in education

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A Latency-Aware and Fault-Tolerant Framework for Resource Scheduling and Data Management in Fog-Enabled Smart City Transportation Systems

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Computers, Materials & Continua 2025年第1期82卷 1377-1399页

作者： Ibrar Afzal Noor ul amin Zulfiqar Ahmad Abdulmohsen Algarni Department of Computer Science and Information Technology Hazara UniversityMansehra21300Pakistan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Thedeployment of the Internet of Things(IoT)with smart sensors has facilitated the emergence of fog computing as an important technology for delivering services to smart environments such as campuses,smart cities,and smart transportation *** computing tackles a range of challenges,including processing,storage,bandwidth,latency,and reliability,by locally distributing secure information through end *** of endpoints,fog nodes,and back-end cloud infrastructure,it provides advanced capabilities beyond traditional cloud *** smart environments,particularly within smart city transportation systems,the abundance of devices and nodes poses significant challenges related to power consumption and system *** address the challenges of latency,energy consumption,and fault tolerance in these environments,this paper proposes a latency-aware,faulttolerant framework for resource scheduling and data management,referred to as the FORD framework,for smart cities in fog *** framework is designed to meet the demands of time-sensitive applications,such as those in smart transportation *** FORD framework incorporates latency-aware resource scheduling to optimize task execution in smart city environments,leveraging resources from both fog and cloud *** simulation-based executions,tasks are allocated to the nearest available nodes with minimum *** the event of execution failure,a fault-tolerantmechanism is employed to ensure the successful completion of *** successful execution,data is efficiently stored in the cloud data center,ensuring data integrity and reliability within the smart city ecosystem.

关键词： Fog computing smart cities smart transportation data management fault tolerance resource scheduling

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Use of clay as a pozzolona in high strength Portland cement and its thermal activation

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Chinese Journal Of Geochemistry 2010年第2期29卷 143-145页

作者： Noor-ul-amin Department of Chemistry Abdul Wali Khan University

In this investigation local clay from Cherat mines, Nowshera District, NWFP, Pakistan, has been tested as a pozzolanic material in high strength Portland cement. Thermal treatments were performed as a means of activation of the clay. It was found that thermal treatment of the clay can increase its pozzolanic activity. Different blended mortars, containing different amounts of clay, activated at different temperatures were studied for compressive strength, consistency, and setting times. It was concluded that the mechanical properties of the blended cements were mainly governed by the percentage of incorporation of the calcined clay. Blended cement composition has been for-mulated, with optimal results of 20% calcined clay at a temperature of 600℃.

关键词：高强度水泥烧粘土热激活火山灰活性混合水泥硅酸盐水泥巴基斯坦测试调查

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Economical Requirements Elicitation Techniques During COVID-19: A Systematic Literature Review

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Computers, Materials & Continua 2021年第5期67卷 2665-2680页

作者： Tauqeer ul amin Basit Shahzad Fazal-e-amin Muhammad Shoaib Department of Software Engineering National University of Modern LanguagesIslamabadPakistan Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

Requirements elicitation is a fundamental phase of software development in which an analyst discovers the needs of different stakeholders and transforms them into *** phase is cost-and time-intensive,and a project may fail if there are excessive costs and schedule ***-19 has affected the software industry by reducing interactions between developers and *** a lack of interaction is a key reason for the failure of software *** can also fail when customers do not know precisely what they ***,selecting the unsuitable elicitation technique can also cause project *** present study,therefore,aimed to identify which requirements elicitation technique is the most cost-effective for large-scale projects when time to market is a critical issue or when the customer is not *** that end,we conducted a systematic literature review on requirements elicitation *** primary studies identified introspection as the best technique,followed by survey and *** finding suggests that introspection should be the first choice of elicitation technique,especially when the customer is not available or the project has strict time and cost ***,introspection should also be used as the starting point in the elicitation process of a large-scale project,and all known requirements should be elicited using this technique.

关键词： COVID-19 software engineering requirements engineering requirements elicitation introspection project failure SLR on elicitation techniques large-scale projects economical elicitation techniques costeffective time constraints

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Raw mix designing,clinkerization and manufacturing of high-strength Portland cement from the limestone and clay of Darukhula Nizampur,Nowshera District,North-West Frontier Province (N.W.F.P.),Pakistan

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Chinese Journal Of Geochemistry 2009年第3期28卷 279-283页

作者： Noor-ul-amin Tahir Shah Khurshid Ali Institute of Chemical Science University of PeshawarPakistan National Center of Excellence in Geology University of PeshawarPakistan

This paper covers the detailed version of the potential raw material deposits at Darukhula and the adjacent areas of Nizampur, the manufacturing of high-strength Portland cement samples from the same material and comparison of the physical and chemical parameters for resulting cement with British and Pakistan standard specifications, which include compressive strength, setting time, consistency, lechatelier expansion, Blaine and insoluble residue. It was found that the raw material available in the study area meets the standard specifications and the area is feasible for the cement plant installation. The area can provide raw material which is quite sufficient for the running of a cement plant.

关键词：水泥制造业巴基斯坦硅酸盐高强度石灰石设计生料边境

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Chemical study of limestone and clay for cement manufacturing in Darukhula,Nizampur District,Nowshera,North West Frontier Province(N.W.F.P.),Pakistan

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Chinese Journal Of Geochemistry 2008年第3期27卷 242-248页

作者： Khurshid Ali Noor-ul-amin M.Tahir Shah Institute of Chemical Sciences University of Peshawar Pakistan National Center of Excellence in Geology University of PeshawarPakistan

Limestone and clay samples were collected from Darukhula and adjoining areas of the Nizampur District,Nowshera,N.W.F.P.,Pakistan,and analyzed for different parameters in order to search for new reserves of suitable material for the manufacture of different types of cements in *** was found that the area under study contains three types of limestones,including high grade limestone,Darukhula limestone and siliceous limestone,which contain 53%,49.03% and 45.19% CaO,respectively,and three types of clay,including maroon color,yellow to yellowish-green color and green color clay containing 57.76%,65.47% and 61.24% SiO2,*** analysis of the limestone and clay samples collected from the deposits in the area under study showed that all the elements found in these samples are within the range of permissible limits for the production of high-strength Portland cement,sulphate resisting cement and white *** paper covers the detailed version of the potential raw material deposits at Darukhula and adjoining areas of the Nizampur District.

关键词：水泥原材料 N.W.F.P. 化学制品黏土

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A Bio-Inspired Global Finite Time Tracking Control of Four-Rotor Test Bench System

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Computers, Materials & Continua 2018年第12期57卷 365-388页

作者： Rooh ul amin Irum Inayat Li Aijun Shahaboddin Shamshirband Timon Rabczuk School of Automation Northwestern Polytechnical UniversityXi’an710072China Department of Computer Science National University of Computer and Emerging SciencesIslamabad44000Pakistan Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityVietnam Institute of Structural Mechanics Bauhaus University Weimar99423WeimarGermany

A bio-inspired global finite time control using global fast-terminal sliding mode controller and radial basis function network is presented in this article,to address the attitude tracking control problem of the three degree-of-freedom four-rotor hover *** proposed controller provides convergence of system states in a predetermined finite time and estimates the unmodeled dynamics of the four-rotor *** model of the four-rotor system is derived with Newton’s force *** unknown dynamics of four-rotor systems are estimated using Radial basis *** bio-inspired global fast terminal sliding mode controller is proposed to provide chattering free finite time error convergence and to provide optimal tracking of the attitude angles while being subjected to unknown *** global stability proof of the designed controller is provided on the basis of Lyapunov stability *** proposed controller is validated by(i)conducting an experiment through implementing it on the laboratory-based hover system,and(ii)through *** of the proposed control scheme is also compared with classical and intelligent *** performance comparison exhibits that the designed controller has quick transient response and improved chattering free steady state *** proposed bioinspired global fast terminal sliding mode controller offers improved estimation and better tracking performance than the traditional *** addition,the proposed controller is computationally cost effective and can be implanted on multirotor unmanned air vehicles with limited computational processing capabilities.

关键词： Bio-inspired global fast terminal sliding mode controller attitude tracking radial basis function network four-rotor hover system

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Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1140-1149页

作者： Mian Imtiaz ul Haq Ruhul amin Khalil Muhannad Almutiry Ahmad Sawalmeh Tanveer Ahmad Nasir Saeed Faculty of Electrical Engineering Swedish College of Engineering and TechnologyWah CanttPakistan Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawarPakistan Department of Electrical Engineering Remote Sensing UnitNorthern Border UniversityArarSaudi Arabia Data Science and Artificial Intelligence Department‐College of Science and Information Technology Irbid National UniversityIrbadJordan Innovation Education and Research Center for On‐Device AI Software(Bk21) Department of Computer Science and EngineeringChungnam National UniversityDaejeonRepublic of Korea Department of Electrical and Communication Engineering United Arab Emirates University(UAEU)Al AinUnited Arab Emirates

Localisation of machines in harsh Industrial Internet of Things(IIoT)environment is necessary for various ***,a novel localisation algorithm is proposed for noisy range measurements in IIoT *** position of an unknown machine device in the network is estimated using the relative distances between blind machines(BMs)and anchor machines(AMs).Moreover,a more practical and challenging scenario with the erroneous position of AM is considered,which brings additional uncertainty to the final position ***,the AMs selection algorithm for the localisation of BMs in the IIoT network is *** those AMs will participate in the localisation process,which increases the accuracy of the final location ***,the closed‐form expression of the proposed greedy successive anchorization process is derived,which prevents possible local convergence,reduces computation,and achieves Cramér‐Rao lower bound accuracy for white Gaussian measurement *** results are compared with the state‐of‐the‐art and verified through numerous simulations.

关键词： Cramér‐Rao lower bound greedy successive anchorization industrial internet of things localization

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