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13th International Conference of Information and Communication technology, ICTech 2024

作者： Liu, Wenhai Li, Yang Feng, XinYuan Liang, GuiChong Li, Ning Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang China School of Information Science and Engineering East China University of Science and Technology Shanghai China School of Computer Science and Technology Shenyang University of Chemical Technology Shenyang China

ISBN: (纸本)9798350376258

This paper introduces a mathematical model for simulating natural light, grounded in the simple sky model and advanced sun positioning techniques. By processing inputs like time, geographical coordinates, and weather, it accurately computes natural light scenarios, replicating sun positioning, angles, intensity, and realistic environmental illumination. ©2024 IEEE.

关键词： Azimuth component illumination nature light simulation simulation solar energy sun position Zenith

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Parallel String Permutation using MPI 15

Parallel String Permutation using MPI

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Saldanha, Blen Joswin Sowjanya Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

A permutation is a mathematical technique for determining the number of possible arrangements in any set where the particular sequence of the arrangements *** of permutations of a string is a complex task, especially for long strings, and it frequently takes a long *** address this issue, parallelization becomes critical to explore the vast solution space *** this paper, the parallelized solution for generating string permutations using the Message Passing Interface (MPI) programming model is *** proposed algorithm divides the workload among multiple processors to render a subset of total *** a comparative analysis with a sequential approach, the performance of the parallel algorithm is *** findings emphasize the potential advantages of parallelization in reducing the overall computation time for string permutation generation. © Grenze Scientific Society, 2024.

关键词： Character sets

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Achieving high strength-ductility synergy in a Mg_(97)Y_(1)Zn_(1)Ho_(1) alloy via a nano-spaced long-period stacking-ordered phase

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Journal of Magnesium and Alloys 2023年第4期11卷 1321-1331页

作者： Mingyu Fan Ye Cui Yang Zhang Xinghao Wei Xue Cao Peter K.Liaw Yuansheng Yang Zhongwu Zhang Key Laboratory of Superlight Materials and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001PR China College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001PR China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN 37996-2100USA Institute of Metal Research Chinese Academy of SciencesShenyang 110016PR China

Achieving high strength in Mg alloys is usually accompanied by ductility ***,a novel Mg97Y1Zn1Ho1 at.%alloy with a yield strength of 403 MPa and an elongation of 10%is *** strength-ductility synergy is obtained by a comprehensive strategy,including a lamella bimodal microstructure design and the introduction of nano-spaced solute-segregated 14H long-period stacking-ordered phase(14H LPSO phase)through rare-earth Ho *** lamella bimodal microstructure consists of elongated un-recrystallized(un-DRXed)coarse grains and fine dynamically-recrystallized grains(DRXed regions).The nano-spaced solute-segregated 14H LPSO phase is distributed in DRXed *** outstanding yield strength is mainly contributed by grain-boundary strengthening,18R LPSO strengthening,and fiberlike reinforcement strengthening from the nano-spaced 14H LPSO *** high elongation is due primarily to the combined effects of the bimodal and lamellar microstructures through enhancing the work-hardening capability.

关键词： Mg wrought alloy Mechanical properties Long-period stacking-ordered(LPSO)phase Age-strengthening behavior Strengthening mechanism

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Parallel Strand Sort using MPI and CUDA 15

Parallel Strand Sort using MPI and CUDA

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Chaithra, R. Krishnamoorthi, Sinchana Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

Sorting algorithms are fundamental tools in data *** has been a deep area for algorithmic researchers, and many resources have been invested in more work on sorting *** this purpose, many existing sorting algorithms have been reviewed for algorithmic complexity *** this paper, implementation of strand sort algorithm using a Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA) approach is carried *** proposed work is tested with a standard benchmark *** main idea of the proposed algorithm is to divide the elements of the input dataset into several additional temporary sub-lists to process in *** implemented algorithm using MPI and CUDA enhance the algorithm's *** average speedup obtained is 3.9187 using MPI and 19.9270 using CUDA respectively. © Grenze Scientific Society, 2024.

关键词： Sorting

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Optimal Deep Convolutional Neural Network with Pose Estimation for Human Activity Recognition

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computer Systems science & engineering 2023年第2期44卷 1719-1733页

作者： S.Nandagopal G.Karthy A.Sheryl Oliver M.Subha Department of Computer Science and Engineering Nandha College of TechnologyErode638052TamilnaduIndia Department of Electronics and Communication Engineering Kalasalingam Academy of Research and EducationKrishnankoil626126TamilnaduIndia Department of Computer Science and Engineering St.Joseph's College of EngineeringChennai600119TamilnaduIndia Department of Electronics and Communication Engineering University College of Engineering NagercoilNagercoil629004TamilnaduIndia

Human Action Recognition(HAR)and pose estimation from videos have gained signiﬁcant attention among research communities due to its applica-tion in several areas namely intelligent surveillance,human robot interaction,robot vision,*** considerable improvements have been made in recent days,design of an effective and accurate action recognition model is yet a difﬁcult process owing to the existence of different obstacles such as variations in camera angle,occlusion,background,movement speed,and so *** the literature,it is observed that hard to deal with the temporal dimension in the action recognition *** neural network(CNN)models could be used widely to solve *** this motivation,this study designs a novel key point extraction with deep convolutional neural networks based pose estimation(KPE-DCNN)model for activity *** KPE-DCNN technique initially converts the input video into a sequence of frames followed by a three stage process namely key point extraction,hyperparameter tuning,and pose *** the keypoint extraction process an OpenPose model is designed to compute the accurate key-points in the human ***,an optimal DCNN model is developed to classify the human activities label based on the extracted key *** improving the training process of the DCNN technique,RMSProp optimizer is used to optimally adjust the hyperparameters such as learning rate,batch size,and epoch *** experimental results tested using benchmark dataset like UCF sports dataset showed that KPE-DCNN technique is able to achieve good results compared with benchmark algorithms like CNN,DBN,SVM,STAL,T-CNN and so on.

关键词： Human activity recognition pose estimation key point extraction classiﬁcation deep learning RMSProp

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Shadow Extraction and Elimination of Moving Vehicles for Tracking Vehicles

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computers, Materials & Continua 2023年第11期77卷 2009-2030页

作者： Kalpesh Jadav Vishal Sorathiya Walid El-Shafai Torki Altameem Moustafa HAly Vipul Vekariya Kawsar Ahmed Francis MBui Department of Electronics&Communication Engineering Faculty of Engineering and TechnologyParul Institute of Engineering and TechnologyParul UniversityVadodaraGujarat391760India Department Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Community CollegeKing Saud UniversityRiyadh11362Saudi Arabia Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt Department of Computer Engineering Faculty of Engineering and TechnologyParul Institute of Engineering and TechnologyParul UniversityVadodaraGujarat391760India Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonSK S7N5A9Canada

Shadow extraction and elimination is essential for intelligent transportation systems(ITS)in vehicle tracking *** shadow is the source of error for vehicle detection,which causes misclassification of vehicles and a high false alarm rate in the research of vehicle counting,vehicle detection,vehicle tracking,and *** of the existing research is on shadow extraction of moving vehicles in high intensity and on standard datasets,but the process of extracting shadows from moving vehicles in low light of real scenes is *** real scenes of vehicles dataset are generated by self on the Vadodara–Mumbai highway during periods of poor illumination for shadow extraction of moving vehicles to address the above *** paper offers a robust shadow extraction of moving vehicles and its elimination for vehicle *** method is distributed into two phases:In the first phase,we extract foreground regions using a mixture of Gaussian model,and then in the second phase,with the help of the Gamma correction,intensity ratio,negative transformation,and a combination of Gaussian filters,we locate and remove the shadow region from the foreground *** to the outcomes proposed method with outcomes of an existing method,the suggested method achieves an average true negative rate of above 90%,a shadow detection rate SDR(η%),and a shadow discrimination rate SDR(ξ%)of 80%.Hence,the suggested method is more appropriate for moving shadow detection in real scenes.

关键词： Change illuminations ImageJ software intelligent traffic systems mixture of Gaussian model National Institute of Health vehicle tracking

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Analyzing Cyberbullying Word Distribution Across Social Media to Develop Lexicon Dictionary 2

Analyzing Cyberbullying Word Distribution Across Social Medi...

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2nd IEEE International Conference on Networks, Multimedia and Information technology, NMITCON 2024

作者： Sahana, V. Anil Kumar, K.M. Jss Academy of Technical Education Dept. of Information Science and Engineering Bengaluru560060 India Jss Science and Technology University Dept. of Computer Science and Engineering Mysuru570006 India

ISBN: (纸本)9798350372892

Social media platforms have become essential tools for communication, collaboration, and exchanging information, ideas, and knowledge among users worldwide. Despite their benefits, the anonymity offered by these platforms has unfortunately led to a rise in hate speech and cyberbullying, causing concern across the globe. This issue has drawn the attention of researchers and scholars now focused on devising methods for automatically detecting cyberaggression and hate speech. The goal is to mitigate these harmful behaviors and create safer online environments [1]. This study specifically aims to identify and analyze the usage of cyberbullying language within the English Tweet corpus, focusing on distinguishing between bullying and non-bullying language. This research contributes to developing more effective cyberbullying detection models by examining the frequency and patterns of cyberbullying words. These findings are vital for enhancing the efficacy of cyberbullying detection on social networks in future research efforts. The conclusions of the experiments indicate that the SVM achieved the highest average accuracy, approximately 84 %. © 2024 IEEE.

关键词： Anonymity

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Karatsuba Algorithm: Parallelization using CUDA 15

Karatsuba Algorithm: Parallelization using CUDA

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Kumar, Rakshith D. Kumar, Amit Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

In arbitrary arithmetic computation and computational science, multiplying large integers is a widely used *** cryptographic techniques involve operations on extremely large subsets of the integer numbers, including the Diffie-Hellman key exchange, RSA, ECC, and *** techniques employ safe message encryption, decryption, and key exchange using security keys with a size of at least 1024 *** and multiplication are necessary in order to carry out encryption, decryption, and key *** Karatsuba algorithm is a fast and efficient method for multiplying large numbers, that reduces the number of multiplications from four to three at each recursive *** this paper, we conduct a comprehensive assessment of the Karatsuba algorithm's performance when applied to both sequential and parallel *** utilize the power of Nvidia Graphics Processing Unit (GPU) with Compute Unified Device Architecture (CUDA) programming to gauge the speedup of the parallel implementation and processor *** speedup achieved by the Karatsuba algorithm running on Nvidia GPU CUDA platform over the sequential is *** exists an improvement in performance by making use of available GPU *** findings emphasize the potential advantages of parallelization in reducing the overall computation time. © Grenze Scientific Society, 2024.

关键词： Graphics processing unit

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Unsupervised Color Segmentation with Reconstructed Spatial Weighted Gaussian Mixture Model and Random Color Histogram

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computers, Materials & Continua 2024年第3期78卷 3323-3348页

作者： Umer Sadiq Khan Zhen Liu Fang Xu Muhib Ullah Khan Lerui Chen Touseef Ahmed Khan Muhammad Kashif Khattak Yuquan Zhang School of Computer and Information Science Hubei Engineering UniversityXiaogan432000China Institute for AI Industrial Technology Research Hubei Engineering UniversityXiaogan432000China Key Lab of Mountain Hazards and Surface Processes Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu610041China University of Chinese Academy of Sciences Beijing100049China College of Aviation Zhongyuan University of TechnologyZhengzhou451191China Research Center of Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu610041China School of Computer Science University of PoonchAzad Jammu Kashmir12350Pakistan School of Computer Science and Information Engineering Hubei UniversityWuhan430062China

Image classification and unsupervised image segmentation can be achieved using the Gaussian mixture *** the Gaussian mixture model enhances the flexibility of image segmentation,it does not reflect spatial information and is sensitive to the segmentation *** this study,we first present an efficient algorithm that incorporates spatial information into the Gaussian mixture model(GMM)without parameter *** proposed model highlights the residual region with considerable information and constructs color ***,we incorporate the content-based color saliency as spatial information in the Gaussian mixture *** segmentation is performed by clustering each pixel into an appropriate component according to the expectation maximization and maximum ***,the random color histogram assigns a unique color to each cluster and creates an attractive color by default for segmentation.A random color histogram serves as an effective tool for data visualization and is instrumental in the creation of generative art,facilitating both analytical and aesthetic *** experiments,we have used the Berkeley segmentation dataset BSDS-500 and Microsoft Research in Cambridge *** the study,the proposed model showcases notable advancements in unsupervised image segmentation,with probabilistic rand index(PRI)values reaching 0.80,BDE scores as low as 12.25 and 12.02,compactness variations at 0.59 and 0.7,and variation of information(VI)reduced to 2.0 and 1.49 for the BSDS-500 and MSRC datasets,respectively,outperforming current leading-edge methods and yielding more precise segmentations.

关键词： Unsupervised segmentation color saliency spatial weighted GMM random color histogram

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Parallelization of Cycle Sort Algorithm 15

Parallelization of Cycle Sort Algorithm

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Mathew, Anjali Rao, Prerana C. Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

Cycle Sort is a straightforward in-place sorting algorithm that is appropriate for certain use cases where limitations on memory or write costs are the main *** does this by minimizing the amount of writes to *** Sort has an O(n2) time complexity where n is the number of elements in the array to be sorted in both the worst and average *** may result from this quadratic complexity, particularly for large *** issue can be overcome by applying parallelization techniques to execute this cycle sort *** this paper, the parallelized solutions for cycle sort using the Message Passing Interface (MPI) programming and Compute Unified Device Architecture (CUDA) programming models are *** elements are separated into smaller arrays, which are then subjected to the sorting cycles in the proposed *** all of the elements in an array are sorted, cycles are applied to *** findings emphasize the potential advantages of parallelization in reducing the overall computation time for cycle *** outcome of this shows how scalable the parallelized cycle sort method for sorting huge datasets. © Grenze Scientific Society, 2024.

关键词： Message passing

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