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3rd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2024

作者： Telsang, Supriya Pokale, Tanvi Posugade, Anagha Patwal, Pradyot Shirode, Prachi Popade, Om Vishwakarma Institute of Technology Department of Computer Engineering Pune India Vishwakarma Institute of Technology Department of Information Technology Pune India Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350364569

Heart attack and other heart diseases have acted as the major global cause of mortality. In accordance with WHO, about 32% death was due to cardiovascular disease, among which 85% was only due to heart disease There are various factors that lead to heart disease including high LDL, cholesterol, high blood pressure, Diabetes Smoking, Unhealthy diet, Obesity and Physical inactivity. If heart disease is not predicted earlier, it reduces patient's chances of survival. Therefore, it is essential to design a secure and precise system to predict heart disease early for proper treatment of patients. This research paper presents comprehensive analysis to identify heart disease using different predictive analytic methods. The research utilized a dataset of 1025 instances with 13 input parameters compromising age, sex, chest pain, blood pressure, blood sugar, electrocardiographic results, heart rate etc. The research tests and implements various predictive analytic methods such as Decision tree, Random Forest, Logistic regression and KN neighbor to predict the risk of heart disease on 60:40, 70:30 and 80:20 ratio data split. This research paper also highlights the superiority of Random Forest model for predicting heart disease with highest accuracy. © 2024 IEEE.

关键词： decision tree Heart disease KNN Logistic regression Randon Forest

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Nature-inspired whale optimization technique for efficient information exchange in vehicular networks 12

Nature-inspired whale optimization technique for efficient i...

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12th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2023

作者： Tandon, Righa Verma, Ajay Gupta, P.K. Chitkara University Institute of Engineering and Technology Chitkara University Department of Computer Science and Engineering Punjab India Jaypee University of Information Technology Department of Computer Science and Engineering Solan India

ISBN: (纸本)9781665462617

Vehicle Ad-Hoc Networks (VANETs) offer roadside connectivity to facilitate user information exchange while driving. It connects other vehicles and hierarchical infrastructure components for applications including real-time traffic and vehicle control. Concord information sharing is needed for application answers because of the increase in vehicle and information density. In this paper, a secure information exchange model has been proposed using nature-inspired whale optimisation algorithm as a way to provide faster data transmission speeds and security. The proposed model makes use of a social behavior model of humpback whales to explore and exploit the search space for finding the optimal solution. Successful information selection and traffic information retrieval depend on the prior and present judgements. This keeps extra data from clogging up the traffic and vehicle management application while the driver is using it. © 2023 IEEE.

关键词： Vehicular ad hoc networks

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Survey on Weeding Tools, Equipment, AI-IoT Robots with Recent Advancements

Survey on Weeding Tools, Equipment, AI-IoT Robots with Recen...

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2023 International Conference on Integration of Computational Intelligent System, ICICIS 2023

作者： Michael, J Justina Thenmozhi, M. Srm Institute of Science and Technology Department of Computer Science and Engineering Chennai India Srm Institute of Science and Technology Department of Networking and Communications Chennai India

ISBN: (纸本)9798350318784

Agriculture is the backbone of many countries across the globe. Nevertheless, the challenges faced by farmers with an aim to provide quality food are enormous. From among these difficulties, weeding is the most troublesome. Right from the neolithic era till this modern era, there exist numerous solutions for eradicating weeds. Modern technologies support agriculturalists to handle these weeds in overcoming the issues. However, there still exists a gap in satisfying the real needs of a farmer. This paper presents a survey of weeds and their problems, categories of weeds, consequences of herbicide, the importance of weed removal, weeding tools, and equipment, modern AI-weeding robots, algorithms used for weed identification, and mobile applications used for weed detection. This paper also focuses on state-of-the-art techniques for weed identification and removal around the world. Future works in the area of weeds were also discussed before concluding. © 2023 IEEE.

关键词： Agricultural robots

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Machine Learning-Enhanced Self-Management for Energy-Effective and Secure Statistics Assortment in Unattended WSNs

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SN computer science 2025年第2期6卷 1-10页

作者： Biswas, Preesat Mishra, Aishwarya Dixit, Rinku Sharma Dwivedi, Abhishek Choudhary, Shailee Lohmor Tiwari, Shweta Chakravarthi, M. Ayyappa Electronics & Telecommunications Government Engineering College C. G Jagdalpur India Department of Computer Science & Engineering IES College of Technology M.P Bhopal India Department of Artificial Intelligence and Machine Learning New Delhi Institute of Management Delhi India Department of Data Science and Engineering School of AIML IoT & IS CCE DS and Computer Applications Manipal University Jaipur Jaipur Rajasthan India Department of Computer Science and Engineering Gyan Ganga Institute of Technology and Sciences M.P Jabalpur India Department of CSE-Data Science KKR and KSR Institute of Technology and Sciences Guntur India

Unattended Wireless Sensor Networks (UWSNs) operate without human supervision and have limited resources. In a conventional WSN with a fixed sink for data collection, nodes one hop away from the sink consume more energy, causing a hotspot issue. This leads to network fragmentation and reduced sensing efficiency. To address this, a mobile sink is proposed. This study details the development and implementation of Secure MRL, focusing on legitimate message communication to the mobile sink via convex nodes. By using these convex nodes as data collection points, the mobile sink avoids traversing the entire network. We employ an enhanced system to generate keys and authenticate messages, assessing its resilience against various attacks, including sleep deprivation, snooze, network substitution, and modification. Findings indicate that Secure MRL maintains consistent performance across different node counts and significantly reduces energy consumption by 84%, improving the speed of attack detection. This improvement is achieved by monitoring the digital signature and residual energy of nodes. The proposed SVM-based network training establishes a residual energy cut-off, while convex nodes mitigate synchronization issues among other sensor nodes in Secure MRL. Additionally, convex nodes manage the availability checks for the mobile sink. The proposed approach demonstrates a 92% improvement in packet delivery ratio (PDR) and an 89% reduction in end-to-end delay, highlighting its efficacy in enhancing network performance. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Duty-cycled UWSN MRL Sec-MRL SEC-TMP SVM UWSN

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Multi-level Relational Reasoning and Attention Network for Medical Visual Question Answering 25

Multi-level Relational Reasoning and Attention Network for M...

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25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Jia, Xiteng Pan, Haiwei Zhang, Kejia Feng, Yuechun He, Shuning Gong, Cheng Harbin Engineering University Department of Computer Science Harbin China College of Computer Science and Engineering Ningxia Institute of Science and Technology Ningxia China

ISBN: (纸本)9798350330014

Medical Visual Question Answering (Med-VQA) aims to address clinical questions using medical radiological images. However, existing studies have mainly focused on in-putting visual and textual features into attention-based network structures (such as Transformer), neglecting the more advanced relational features present in radiological images. Therefore, we propose a Med- Vqamodel based on attention and visual relational reasoning. Firstly, we introduce a Bidirectional-guided Attention Module, enabling the model not only to use questions to guide attention to important regions in the image, but also to utilize the image to guide attention to key vocabulary in the question. Secondly, we design a Multi-level Visual Relational Module that models both global and local visual features. We employ a graph convolutional neural network to extract latent visual relational features, enriching the semantic information con-tained in visual features. Experimental results on the VQA-RAD dataset and SLAKE dataset show that our model outperforms other state-of-the-art Med- Vqamodels with an overall accuracy of 77.2 % and 80.3 %, respectively, while guaranteeing the model performance. © 2023 IEEE.

关键词： Convolutional neural networks

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Detection and Decryption of Ransomware 2

Detection and Decryption of Ransomware

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2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Jayanthi, Ms. M. Ajay, Alwin J Vijayakumar, Kavya Prakash, Surya G KIT-Kalaignar Karunanidhi Institute of Technology Department of Computer Science and Engineering Coimbatore India KIT-Kalaignar Karunanidhi Institute of Technology Iv Cse Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665456302

The increasing threat of ransomware attacks is a concern for the entire online community. From software firms and universities to companies and organizations, everyone is trying to take proactive measures to protect themselves from such attacks. Governments around the world, including the United States, have issued warnings and issued guidelines to help users stay alert and take precautions. The problem of ransomware attacks is not limited to any particular country and even the most tech-savvy users can become victims. In India, the number of ransomware attacks has also been on the rise. This paper aims to provide a better understanding of the issue by combining research, personal experiences of a ransomware attack, and the use of cybersecurity tools. By illustrating the working of ransomware and presenting it graphically, society can be made more aware of the risk of a ransomware attack and take the necessary steps to prevent it. © 2023 IEEE.

关键词： Cybersecurity

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Optical Imaging for Telephoto Applications Featuring a Lens Design Optimized for Thermal Compensation

Optical Imaging for Telephoto Applications Featuring a Lens ...

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2023 International Conference on computer Communication and Informatics, ICCCI 2023

作者： Srinivasan, T.S. Maik, Vivek Dhanalakshmi, Samiappan SRM Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Indian Institute of Technology Madras Department of Electrical Engineering Chennai India

ISBN: (纸本)9798350348217

Temperature fluctuations in optical imaging systems often affect picture resolution. The quality of the optical element varies due to the high temperature, resulting in focus shift. An optical system for severe temperatures ranging from - 40° to +80° is examined in this paper. To investigate physical and geometrical aberration, a five-element telephoto lens system with the following specifications is used: The entrance pupil diameter (EPD) is 25 mm, the visible wavelength is 486, 587, 656 nm, the field of angle is 0, 7, 10, the F- number is 4, and the semi field of view (FOV) is 10. This preliminary system performance measured and observed picture quality using modulation transfer function (MTF) and spot diagram (SPO). For a spatial frequency of 20 lp/mm, the MTF is 0.5, and the spot diagram reveals that the rays are not converging in the optical axis. This system attained an MTF value of >0.8 (80% accuracy) after optimization. Also, by using Automatic design, the error function or merit function is lowered from 1407.08 to 13.93, and further reduced to 6.77 by incorporating Aspheric surface for element surfaces 1 and 3. We were able to develop a high resolution optical system without modifying the glass material and the overall length of the system. © 2023 IEEE.

关键词： Optical design

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Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis

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computers, Materials & Continua 2023年第12期77卷 3835-3851页

作者： S.Kannan S.Anusuya Department of Computer Science and Engineering Malla Reddy College of EngineeringSecunderabadTelunganaIndia Department of Information Technology Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSIMATSChennaiTamil Nadu602117India

Gliomas,the most prevalent primary brain tumors,require accurate segmentation for diagnosis and risk *** this paper,we develop a novel deep learning-based method,the Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis(DHA-ISSP)*** DHA-ISSP model combines a three-band 3D convolutional neural network(CNN)U-Net architecture with dynamic hierarchical attention mechanisms,enabling precise tumor segmentation and survival *** DHA-ISSP model captures fine-grained details and contextual information by leveraging attention mechanisms at multiple levels,enhancing segmentation *** achieving remarkable results,our approach surpasses 369 competing teams in the 2020 Multimodal Brain Tumor Segmentation *** a Dice similarity coefficient of 0.89 and a Hausdorff distance of 4.8 mm,the DHA-ISSP model demonstrates its effectiveness in accurately segmenting brain *** also extract radio mic characteristics from the segmented tumor areas using the DHA-ISSP *** applying cross-validation of decision trees to the selected features,we identify crucial predictors for glioma survival,enabling personalized treatment *** the DHA-ISSP model and the desired features,we assess patients’overall survival and categorize survivors into short,mid,in addition to long *** proposed work achieved impressive performance metrics,including the highest accuracy of 0.91,precision of 0.84,recall of 0.92,F1 score of 0.88,specificity of 0.94,sensitivity of 0.92,area under the curve(AUC)value of 0.96,and the lowest mean absolute error value of 0.09 and mean squared error value of *** results clearly demonstrate the superiority of the proposed system in accurately segmenting brain tumors and predicting survival outcomes,highlighting its significant merit and potential for clinical applications.

关键词： Survival prediction 3D multimodal MRI brain tumors segmentation CNN U-Net deep learning

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Transfer Function Based Feature Selection Using Harris Hawk Optimization for Biomedical Applications

Transfer Function Based Feature Selection Using Harris Hawk ...

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2024 International Conference on Smart Electronics and Communication Systems, ISENSE 2024

作者： Jayachitra, S. Prasanth, A. Prasannakiruba, G.S. Abbineni, Srichandana PSNA College of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu Chennai India Bannari Amman Institute of Technology Department of Computer Technology Sathyamangalam India Hyderabad India

ISBN: (纸本)9798331528126

Feature Selection plays key role to truncate the high dimensionality in the datasets through eradicating the unwanted and noisy attributes to improve the performance of classification. The Meta-heuristic technique is one of the most optimistic search techniques to travel the feature space to locate finest feature subset. The Harris Hawk Optimization (HHO) excited from hunting approach of hawk in nature. The cost effectiveness and simplicity formulates the algorithm prominent and superior in solving optimization problems. The binary version of the optimization is accountable for delineating continuous searching space to discrete feature space. Here, 6 transfer functions with S-Shaped and V-Shaped families were interposed and analyzed. Twelve benchmark datasets from UCI repository has been introduced to examine the transfer functions and choose the best feature pertaining to mitigate local minima and high speed of convergence. To analyze the efficacy of transfer function, the proposed method was compared over exiting algorithms and the proposed results attain higher classification accuracy in many of the datasets. © 2024 IEEE.

关键词： Heuristic methods

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Design and material optimization of an Orion re-entry aeroshell for higher structural performance

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Materials Today: Proceedings 2022年 62卷 2730-2738页

作者： Rao, K. Naga Vardhana Balguri, Praveen Kumar Govardhan, D. Vamsi, Ch. Krishna Sravani, Madhurakavi Department of Aeronautical Engineering Institute of Aeronautical Engineering Hyderabad500 043 India Department of Aerospace Engineering Indian Institute of Space Science & Technology Thiruvananthapuram India

Space exploration and interplanetary missions are achieved using re-entry capsules for both manned and unmanned missions. Re-entry capsules experience a higher amount of pressure and temperatures during re-entry which induces aerodynamic heating further leading to structural deformation due to shear stress [1]. The research aims to investigate the effect of changing the design parameter spherical nose radius [2]of the Orion capsule shell with different materials by doing static structural analysis. Materials considered for analysis are S glass-epoxy, epoxy resin, carbon-epoxy, E glass-epoxy which are composite materials available in the Ansys material library under engineering data sources. Base design and Optimized designs were modeled in solidworks2020 cad software. FEA analysis was carried out in the Ansys workbench. Static structural analysis performed on the designed cad models and total deformation, maximum shear stress, and shear stress along XY, YZ, and XZ directions were plotted for different parameters by using MATLAB, and performances of the structures are evaluated based on the values. At 11 m spherical nose radius with E glass material achieved less total deformation i.e., 0.0021 m. © 2021

关键词： Deformation

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