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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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A Natural Light Simulation Mathematical Model for Mixed Reality Simulation Cockpit 13

A Natural Light Simulation Mathematical Model for Mixed Real...

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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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A Comparative Study on Cotton Plant Disease Detection Using Transfer Learning Techniques 2

A Comparative Study on Cotton Plant Disease Detection Using ...

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

作者： Kamath, Prajwal Deepa, G. Manipal Institute of Technology Manipal Academy of Higher Education Department Computer Science and Engineering Karnataka Manipal576 104 India

ISBN: (纸本)9798350372892

The conventional methods to identify plant diseases involve visual inspection which can be imprecise and result in delayed discovery of diseases. To solve these issues, the integration of Machine Learning driven systems for early disease detection offers promising results. In this work, a comparative analysis of various deep learning frameworks for disease identification in cotton plant datasets. The paper investigates the performance of three Transfer learning models such as InceptionV3, Xception, and DenseNet201 on a publicly available cotton dataset. The experimental results demonstrated that the DenseNet201 model achieves highest accuracy of 94.33 %. The developed model aids in identifying damaged cotton leaves and plants, laying the base for automated disease diagnosis across various plant species. This research provides a helpful means for improvising crop management and productivity in farming communities. © 2024 IEEE.

关键词： Plant diseases

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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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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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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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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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Parallelization of Pigeonhole Sort for Efficient Data Sorting 15

Parallelization of Pigeonhole Sort for Efficient Data Sortin...

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

作者： Datta, Pasupuleti Rohith Sai Kamath, Chinmaya D. 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

The need for parallel sorting algorithms have been driven by the increasing need for large-scale datasets to be processed *** sorting is one of the sorting algorithms that carries sorting in linear *** study focuses on enhancing the efficacy of the Pigeonhole Sorting method to improve the performance of the algorithm by employing parallel programming techniques specifically Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA).The primary objective is to develop and assess parallel solutions for Pigeonhole Sorting, with the aim of optimizing sorting efficiency in data-intensive *** with a comprehensive analysis of the sequential design of the Pigeonhole Sorting algorithm, this work proceeds to create parallel implementations using CUDA for Graphics Processing Unit (GPU) acceleration and MPI for distributed memory *** work contributes valuable insights into adapting the Pigeonhole Sorting algorithm to parallel *** 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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Handwriting Detection Using Object Detection Models 4

Handwriting Detection Using Object Detection Models

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4th International Conference on Advancement in Electronics and Communication engineering, AECE 2024

作者： Raj, Mayank Chhabra, Prachi Shrivastava, Aparna Singh, Vikas Kumar, Abhishek Sharma, Palak Jss Academy of Technical Education Department of Information Technology Noida India School of Computer Science & Engineering Iilm University Greater Noida India Jss Academy of Technical Education Department of Computer Science & Datascience Noida India

ISBN: (纸本)9798350364729

In this paper, we propose a new method for handwriting text detection using the YOLOV5 object detection neural network. Our approach accurately identifies text sequences regardless of orientation, size, or type (handwritten or printed) and locates handwritten text regions within images. We then utilize the TrOCR model by Hugging Face, which employs an encoder-decoder mechanism to extract and digitize text from the images. To train and evaluate our model, we introduce a clinical receipts dataset tailored for handwriting text detection, addressing challenges like variations in styles, sizes, and orientations. Through extensive experimentation, we demonstrate our approach's effectiveness on benchmark datasets, achieving competitive performance against existing methods. Additionally, we explore potential applications of handwriting text detection in tasks such as OCR, document classification, and information extraction, presenting a promising solution for robust and efficient handwriting text detection in diverse real-world scenarios. © 2024 IEEE.

关键词： HTR Hugging Face OCR TrOCR YOLOV5

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