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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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Partial Fusion (F) Gene Analysis of Newcastle Disease Virus Detected in Pakistan during 2021-2022

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Journal of Biosciences and Medicines 2024年第5期12卷 256-275页

作者： Muhammad Danish Mehmood Huma Anwar ul-Haq Rauf Khalid Yasir amin Muhammad Usman Ghani Muhammad Ismail Rabia Habib Fareeha Arshed Abdul Rasheed Shaukat Institute of Molecular Biology & Biotechnology University of Lahore Lahore Pakistan Research & Development Division Ottoman Pharma Lahore Pakistan Quality Assurance Department Ottoman Pharma Lahore Pakistan Veterinary Research and Disease Investigation Center Abbottabad Pakistan Quality Control Department Ottoman Pharma Immuno Lahore Pakistan Production Department Ottoman Pharma Lahore Pakistan Poultry Production Department Sabir&#8217s Poultry Pvt. Ltd. Sabroso Pakistan

Newcastle disease (ND) virus is a leading threat to commercial and domestic poultry in Pakistan. The virus infects and constitutes irreversible impairment to the nervous system, damages the respiratory system, and marks severe gastrointestinal lesions leading to heavy mortality in short-living birds and substantial losses in layers and breeders. The continuous emergence and evolution of the virus made it inclined to evade the humoral response and indirectly the circumvention of artificial active immunization. Newcastle disease is caused by the orthoavula genus of the paramyxoviridae family and has shown high genetic diversity even in their genotypes while information regarding enzootic trends of the virus is scanty in Pakistan. A total of 40 tracheal samples of NDV were collected from different commercial broiler farms and 11 isolates of NDV were identified. In the current study, we determined the genetic diversity of the Newcastle disease virus based on the partial sequencing of the fusion protein gene available in the NCBI database. Genetic analysis showed that seven isolates belonged to class I genotype VII and four belonged to class II genotype II. Interestingly, two isolates had epidemiological connections with vaccine-like class II genotype II. Our findings, concerning the recent outbreaks of class I genotype VII and class II genotype II of NDV in vaccinated commercial flocks, suggest possible potential partial mutations in the fusion protein gene. Genetic diversity and formation of the new cleavage site in an important neutralizing protein of wild strain are linked with the potency of artificial active immunization and a major cause of vaccine failure.

关键词： Newcastle Disease Virus Haemagglutination Inhibition Polymerase Chain Reaction Phylogenetic Tree Mutation Analysis

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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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Eco-friendly biodegradable polyurethane based coating for antibacterial and antifouling performance

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Chinese Journal of Chemical Engineering 2023年第2期54卷 80-88页

作者： Abid Ali Bilal ul amin Wenwu Yu Taijiang Gui Weiwei Cong Kai Zhang Zheming Tong Jiankun Hu Xiaoli Zhan Qinghua Zhang College of Chemical and Biological Engineering Provincial Key Laboratory of Advanced Chemical Engineering Manufacture TechnologyZhejiang UniversityHangzhou 310027China Institute of Mold Technology Changzhou Vocational Institute of Mechatronic TechnologyChangzhou 213164China State Key Laboratory of Marine Coatings Marine Chemical Research Institute Co.LtdQingdao 266072China Quzhou Research Institute Zhejiang UniversityQuzhou 324000China

Biofouling, which comprises the absorption of proteins and the adhesion of bacteria to the surface of living entities, is a severe concern for the maritime sector since it ultimately leads to hydrodynamic drag,resulting in a higher increase in fuel consumption. As a result, polymer resins are crucial in the marine sector for anti-biofouling coatings. In this work, the poly(caprolactone-ethylene glycol-caprolactone)-p olyurethane(PECL-PU) are prepared through ε-caprolactone(CL), poly(ethylene glycol)(PEG), 4,4'-methylene bis(cyclohexyl isocyanate) and 1,4 butanediol. Our study demonstrate that the PECL-PU copolymer degraded in artificial seawater(5.21%), enzymatic solution(12.63%), and seawater(13.75%)due to the presence of PEG segments in the laboratory-based test under static condition. Because the addition of PEG segments are increased the polymer's amorphous area and decreased the crystallization of the polycaprolactone(PCL) in the copolymer, as demonstrated by differential scanning calorimetry, X-ray diffraction, and water contact angle studies. Therefore, the hydrolysis rates of PECL-PU were higher than the caprolactone-co-polyurethane(CL-PU). The antifouling test showed that PECL-PU3 copolymer had about 90.29% protein resistance, 85.2% Escherichia coli(E. coli) reduction and 94.61% marine diatom Navicula incerta reduction comparison to the control. We have developed an eco-friendly and inexpensive promising degradable polyurethane for reduction of bacterial biofilm, which can preserve the formation of biofouling on marine coating under practical sea conditions.

关键词： Caprolactone PEG segments Biodegradable polyurethane Biofouling Hydrolytic degradation

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Stock Market Index Prediction Using Machine Learning and Deep Learning Techniques

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Intelligent Automation & Soft Computing 2023年第8期37卷 1325-1344页

作者： Abdus Saboor Arif Hussain Bless Lord Y。Agbley amin ul Haq Jian Ping Li Rajesh Kumar Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou313001China Abdul Wali Khan University Mardan Mardan23200Pakistan School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Brain Institute Peshawar Peshawar25130Pakistan

Stock market forecasting has drawn interest from both economists and computer scientists as a classic yet difficult *** the objective of constructing an effective prediction model,both linear and machine learning tools have been investigated for the past couple of *** recent years,recurrent neural networks(RNNs)have been observed to perform well on tasks involving sequence-based data in many research *** this motivation,we investigated the performance of long-short term memory(LSTM)and gated recurrent units(GRU)and their combination with the attention mechanism;LSTM+Attention,GRU+Attention,and LSTM+GRU+*** methods were evaluated with stock data from three different stock indices:the KSE 100 index,the DSE 30 index,and the BSE *** results were compared to other machine learning models such as support vector regression,random forest,and k-nearest *** best results for the three datasets were obtained by the RNN-based models combined with the attention *** performances of the RNN and attention-based models are higher and would be more effective for applications in the business industry.

关键词： Machine learning deep learning stock market prediction data analysis

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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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A Hierarchal Clustered Based Proactive Caching in NDN-Based Vehicular Network

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Computer Systems Science & Engineering 2023年第10期47卷 1185-1208页

作者： Muhammad Yasir Khan Muhammad Adnan Jawaid Iqbal Noor ul amin Byeong-Hee Roh Jehad Ali Department of Computer Science&Information Technology Hazara University Mansehra21120Pakistan Department of Electronics Engineering Kookmin University Seoul Korea Faculty of Computing Riphah International University Islamabad Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499Korea

An Information-Centric Network(ICN)provides a promising paradigm for the upcoming internet architecture,which will struggle with steady growth in data and changes in *** ICN architectures have been designed,including Named Data Networking(NDN),which is designed around content delivery instead of *** data is the central part of the ***,NDN was developed to get rid of the dependency on IP addresses and provide content *** is one of the major research dimensions for this upcoming internet *** research has been carried out to solve the mobility issues,but it still has problems like handover delay and packet loss ratio during real-time video streaming in the case of consumer and producer *** solve this issue,an efficient hierarchical Cluster Base Proactive Caching for Device Mobility Management(CB-PC-DMM)in NDN Vehicular Networks(NDN-VN)is proposed,through which the consumer receives the contents proactively after handover during the mobility of the *** a consumer moves to the next destination,a handover interest is sent to the connected router,then the router multicasts the consumer’s desired data packet to the next hop of neighboring ***,once the handover process is completed,consumers can easily get the content to the newly connected router.A CB-PCDMM in NDN-VN is proposed that improves the packet delivery ratio and reduces the handover delay aswell as cluster ***,the intra and inter-domain handover handling procedures in CB-PC-DMM for NDN-VN have been *** the validation of our proposed scheme,MATLAB simulations are *** simulation results show that our proposed scheme reduces the handover delay and increases the consumer’s interest satisfaction *** proposed scheme is compared with the existing stateof-the-art schemes,and the total percentage of handover delays is decreased by up to 0.1632%,0.3267%,2.3437%,2.3255%,and 3.7313%at the mobil

关键词： Vehicular network named data networking caching hierarchical architecture

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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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