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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: December 03, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: December 03, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 23, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Published Paper of International Journal of Computational Science and Information Technology (IJCSITY)
Paper Title: HIGH PERFORMANCE COMPUTING ON THE RASPBERRY PI
Authors: Erin M. Hodgess Western Governors University, Salt Lake City, UT, USA
Abstract: We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be very useful for researchers with limited access to high performance tools or limited funding.
Keywords: OpenMP, Coarrays Fortran, R
Volume URL: https://airccse.org/journal/ijcsity/Current2022.html
Pdf URL: https://aircconline.com/ijcsity/V10N1/10122ijcsity01.pdf
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2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 23, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Submit Your Research Articles...!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 23, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 23, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Submit Your Research Articles…!!!
2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 16, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 16, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 16, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Published Paper of International Journal of Computational Science and Information Technology (IJCSITY)
Paper Title: UAV PATH PLANNING USING GENETIC ALGORITHM WITH PARALLEL IMPLEMENTATION
Authors: Mohammad AlRaslan and Ahmad Hilal AlKurdi Faculty of Informatics Engineering, Idleb University, Idleb, Syria
Abstract: The objective of path planning algorithms is to find the optimal path from a source position to a target position. This paper proposes a real-time path planner for UAVs based on the genetic algorithm. The proposed approach does not identify any specific points outside or between obstacles to solve the problems of the invisible path. In addition, this approach uses no additional steps in the genetic algorithm to handle the problems resulting from generating points inside the obstacles, or the intersection between path segments with obstacles. For these reasons, this paper introduces a simple evaluation method that takes into account the intersections between the path segments and obstacles to find a collision-free and near to optimal path. This evaluation method take into account overlapped and intersected obstacles. The sequential implementation for all of the genetic algorithm steps is detailed. This paper explores the Parallel Genetic Algorithms (PGA) models and introduces the parallel implementation of the proposed path planner on multi-core processors using OpenMP. The execution time of the proposed parallel implementation is reduced compared to sequential execution.
Keywords: Path planning, UAV, Genetic algorithm, Parallel genetic algorithm, OpenMP, Speed up.
Volume URL: https://airccse.org/journal/ijcsity/Current2022.html
Pdf URL: file:///C:/Users/sethu/Downloads/10222ijcsity01.pdf
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Submit Your Research Articles...!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 16, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 09, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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Submit Your Research Articles…!!!
2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 09, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Submit Your Research Articles…!!!
2nd International Conference on Information Science and Techniques (ISTECH 2024) December 28 ~ 29, 2024, Dubai, UAE https://csitai2024.org/istech/index
Submission Deadline: November 09, 2024
Contact Us: [email protected] or [email protected]
Paper Submission Link: https://csitai2024.org/submission/index.php
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Paper Title: REVOLUTIONIZING FIREFIGHTING TRAINING WITH DIGITAL TWINS: REAL-TIME FIRE SPREAD SIMULATION AND ESCAPE ROUTE OPTIMIZATION
Authors: Ying Zhang and Boon Giin Lee Faculty of Humanities and Social Science, University of Nottingham Ningbo China, Ningbo, China School of Computer Science, University of Nottingham Ningbo China, Ningbo, China
Abstract: The advancement of digital twin (DT) systems had revolutionized various industrial and safety applications, offering virtual replicas of physical processes for improved monitoring and training. Fire scenarios are highly dynamic, with conditions changing rapidly due to factors like wind direction, material flammability, and structural integrity. This study explored the application of a smart fire scene DT system (SFSDTS) for firefighting training and safety management. The novelty and contributions of this study was the proposed SFSDTS integrated machine learning models to predict fire spreading paths and estimate escape routes in real-time, providing an immersive and interactive training environment for firefighters. Various ML models, including random forest (RF), XGBoost, decision tree (DR), logistic regression (LR), and Knearest neighbors (KNN), were utilized for predicting fire spreading. The performance of these models was evaluated using metrics such as accuracy, precision, recall, and F1 score, with XGBoost and RF models demonstrating superior performance. The proposed SFSDTS also employed the A* algorithm for optimized escape route estimation based on dynamic fire conditions. User experience was assessed through a standardized questionnaire, user experience questionnaire (UEQ), revealing positive ratings for the proposed SFSDTS’s efficiency, stimulation, and perspicuity. Compared to commercial products, the proposed SFSDTS offered improved accessibility and real-time simulation functionalities. The study highlighted the potential of proposed SFSDTS in transforming firefighting training and safety management.
Keywords: Digital Twin, Firefighting, Machine Learning, Training Simulation
Volume URL: https://airccse.org/journal/ijcsity/Current2024.html
Pdf URL: https://aircconline.com/ijcsity/V12N4/12424ijcsity01.pdf
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Submit Your Research Articles…!!!
International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320 – 7442 https://airccse.org/journal/ijcsity/index.html
Submission Deadline: November 09, 2024
Contact Us: [email protected] (or) [email protected]
Paper Submission Link: https://airccse.com/submissioncs/home.html
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