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检索条件"机构=Computer Science And Medical Engineering Faculty of Engineering and Technology"

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Efficient Encryption Techniques for Secure Transmission of Dynamic Image

Efficient Encryption Techniques for Secure Transmission of D...

引用

Knowledge engineering and Communication Systems (ICKECS), International Conference on

作者： Ramakrishnan Raman Yassir Farooqui K Nisha Manisha Paliwal Symbiosis International (Deemed University) Computer science and Engineering Faculty of Engineering and Technology Parul University Computer Science and Engineering Chennai Institute of Technology Sarathy Nagar Kundrathur Balaji Institute Of International Business (BIIB)

ISBN: (数字)9798331537012

ISBN: (纸本)9798331537029

With the increasing reliance on dynamic images for communication, ensuring their security during transmission is a paramount concern. Dynamic images, such as real-time video streams or surveillance feeds, are vulnerable to various cyber threats, necessitating robust encryption techniques. This paper proposes a novel approach combining the efficiency of symmetric encryption (AES) with the security of asymmetric encryption (RSA) to safeguard dynamic image transmission. The hybrid method utilizes RSA for secure key exchange and AES for highspeed encryption of image data blocks. This dual- layer approach ensures both confidentiality and integrity while maintaining transmission speed. By dividing the image into smaller blocks, we can efficiently encrypt each block using AES, reducing computational overhead and enhancing encryption speed. The RSA algorithm is then employed to encrypt the AES key, ensuring secure transmission without compromising performance. The proposed technique is analysed in terms of encryption time, resistance to cryptographic attacks, and overall security effectiveness. Experimental results indicate that the hybrid method outperforms conventional single-encryption techniques, such as standalone AES and RSA, in terms of both security and computational efficiency. Additionally, the method exhibits minimal impact on transmission efficiency, making it suitable for real-time applications. The results demonstrate the potential of this hybrid approach in securing dynamic images without significant computational penalties, making it a practical solution for modern communication systems.

关键词： Resistance Image communication Surveillance Streaming media Throughput Real-time systems Encryption Computational efficiency Data communication Streams

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Survival Analysis with Cox Proportional Hazards Model in Predicting Patient Outcomes 5

Survival Analysis with Cox Proportional Hazards Model in Pre...

引用

5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Monikapreethi, S.K. Preetha, J. Reddy, K. Narsimha Ramya, S. Yuvaraj, S. Murugan, S. Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Department of Artificial Intelligence & Data Science Tamil Nadu Trichy India Vardhaman College of Engineering Department of Electronics and Communication Engineering Telangana Hyderabad India Paavai Engineering College Department of Cyber Security Tamil Nadu Namakkal India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Kattankulathur India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350379945

Survival analysis is crucial for understanding the factors that influence patient outcomes across time. The objective is to predict the outcomes of patient survival under various circumstances using the Cox Proportional Hazards Model. The main objectives are to assess the model's predictive ability and to determine the impact of different parameters on survival lengths. As a result of these efforts to enhance clinical prediction models, patient treatment strategies that are personalized to each person's individual risk profile will be improved. Integrating diverse patient data and evaluating the importance of various elements might improve insights into therapy success and prognosis accuracy. Improved healthcare delivery and individualized medical treatments are possible outcomes. This approach brings attention to the use of advanced statistical techniques in medical diagnosis and decision-making, which may improve patients' quality of life and raise their chances of survival. Age range: 58-72, stages: 1-4, comorbidities: yes (1, no), Karnofsky score: 60-90, follow-up: 12-30 months, confidence interval: 0.2% to 10.3%, hazard ratio: 0.8-3.5, p-value: 0.08-0.67, according to the Patient Survival Analysis Dataset, Stage-Specific Cancer Survival Analysis Dataset. © 2024 IEEE.

关键词： Prediction models

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Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing

Energy-Optimized with Multi-Population Differential Annealed...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Wu, Ruixuan Shi, Yuliang Yuan, Haitao Bi, Jing Zhang, Jia Beijing University of Technology Faculty of Information Technology Beijing100124 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Lyle School of Engineering Southern Methodist University Dept. of Computer Science DallasTX United States

ISBN: (纸本)9798350337020

Mobile devices (MDs) cannot fully run all computation/delay-sensitive tasks due to their limited computing resources. Mobile edge computing (MEC) meets the demand by providing massive resources for MDs and offloading task partitions to MEC servers. However, task offloading also brings communication delay and energy consumption. Therefore, it is challenging to associate resource-constrained MDs with appropriate MEC servers to minimize power consumption. To address this problem, a constrained mixed integer nonlinear program is formulated to optimize the total energy consumption of the system including MDs and MEC servers. To solve this problem, this work designs an improved meta-heuristic optimization algorithm called Self-adaptive and Multi-population Differential Annealed Optimization (SMDAO). Experimental results demonstrate that compared with its two state-of-the-art peers, the proposed SMDAO yields the best solution with the smallest total energy consumption in the least time. © 2023 IEEE.

关键词： computation offloading energy optimization Mobile edge computing multi-population optimization simulated annealing

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Chi-Square and Cuckoo Search Based Feature Selection for Heart Disease Prediction

Chi-Square and Cuckoo Search Based Feature Selection for Hea...

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2024 International Conference on science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Elizabeth, Bolanle Adejumo Muhammad Usman, Ali Hussein, Ahmad MohdAziz Ossai Ebinum, Wallace Maigari, Timothy Umar Usman Abdullahi, Ali Ibrahim, Jalo Abubakar Joda Usman, Mohammed Philips, Jacob Dawaki, Muhammad Department of Computer Sciences Gombe Nigeria Umm Al-Qura University Deanship of E-Learning and Distance Education Makkah21955 Saudi Arabia Kaduna Polytechnic College of Engineering Department of Computer Engineering Kaduna Nigeria Bayero University Faculty of Computer Science and Information Technology Kano Nigeria Gombe State University Department of Computer Sciences Gombe Nigeria

ISBN: (纸本)9798350358155

In many countries across the globe, heart disease is the main root of death. It's only that it has a lot of features that have been validated by numerous sources and incorporate distinct diagnostic techniques. Thus, physicians find it difficult to correctly identify the features that contribute to heart disease for each patient. Besides, most of these features are redundant and irrelevant that create noise towards the description of the target class. Nowadays, machine learning approaches are being used to aid physicians to correctly identify heart disease from a patient. In this study, the chi-square statistic is applied to rank the attributes in the heart disease data set while the cuckoo search optimization algorithm selects the most useful features that contribute significantly to heart disease diagnosis. The selected features are trained using the k-nearest neighbour (KNN) along with support vector machine (SVM). The investigational outcomes displayed that the features are minimized to the lowest level, mainly on the high dimensional data sets. Therefore, contributed positively to the heart disease diagnosis system. SVM outpace KNN in terms of accuracy after the proposed feature selection. On the other hand, KNN performed slightly better than SVM without feature selection on the majority of data sets. The proposed method performed better than other existing approaches especially correlation-based FS with PSO together with fuzzy analytic hierarchy process-based feed-forward neural network, modified differential evolution, on both percentage accuracy and number of chosen features (feature size). © 2024 IEEE.

关键词： Support vector machines

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Application of AI and ML in Wound Healing and Skin Regeneration

Application of AI and ML in Wound Healing and Skin Regenerat...

引用

Sentiment Analysis and Deep Learning (ICSADL), International Conference on

作者： Taniya G. Petkar Praveen Kumar Kirtiksha U. Sarate Department of Computer Science & Medical Engineering Faculty of Engineering and Technology Datta Meghe Institute of Higher Education & Research (DU) Sawangi Wardha Maharashtra India Department of Computer Science and Design Faculty of Engineering and Technology Datta Meghe Institute of Higher Education & Research (DU) Sawangi Wardha Maharashtra India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

By enabling precise, individualized, and effective treatments, the integration of artificial intelligence (AI) and machine learning (ML) into wound and skin healing is revolutionizing healthcare. Artificial intelligence-controlled tools improve wound assessment, anticipate healing, and collaborate with regular examinations using cutting-edge dressings and imaging technologies. AI computations work on the management of express data to enhance treatment systems, while advancements in nanomaterials like marine collagen and therapies employing young microorganisms further accelerate skin recovery. Despite encouraging findings, there are still problems, such as potential overfitting and dataset limitations. In general, machine learning is changing the way that injuries are treated by providing proactive, tailored solutions that aim to understand outcomes and lower the cost associated with clinical outcomes.

关键词： Sentiment analysis medical treatment Wounds Predictive models Prediction algorithms Skin Real-time systems Sensors Monitoring Overfitting

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Analyzing Industry Information Management and limitations based on P2P computing

Analyzing Industry Information Management and limitations ba...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Faris, Najlaa Nsrulaah Adile, Mohaned Alubady, Raaid Alatba, Sura Rahim Diame, Tamarah Alaa Sadiq, Sadiq Nabeel National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Al-farahidi University Medical Instruments Engineering Techniques Baghdad Iraq Technical Engineering College Al-Ayen University Thi-Qar Iraq AI- Turath University College Computer Technologies Engineering Baghdad Iraq Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq Computer Engineering Techniques Al-Nisour University College Baghdad Iraq

ISBN: (纸本)9798350303452

The use of real-time technology is crucial in fmthe field of industrial computerization. Much speculation has been about the huge growth in sophisticated networked devices such establishments use. It's often called 'Industry 4.0' or 'the Industrial Internet of Things.' Many goods mean many uses, which are widely dispersed. Therefore, in real-world settings, a single device is insufficient. The impact of communication on applications' overall temporal behavior is growing. Due to this need, many Industrial Ethernet (IE) methods have been created. Successful IE countermeasures often include custom-built software or non-standard adjustments to existing protocols. It undermines interoperability and creates expensive gear incompatible with other IE or regular Ethernet alternatives. A P2P computing-based deterministic communication (P2PDC) framework is proposed in this article. P2PDC presents a P2P technique that offers a deterministic connection through standard Ethernet on a full software basis. While it does allow for real-time interactions and is based only on industry-standard protocols, it does have a few drawbacks. P2PDC's low network utilization, hash attack control, and congestion prioritization are singled out in the report as the most important limits and solutions to these problems. The experimental results show the P2PDC to achieve an accuracy ratio of 92.21 %, precision ratio of 92.65%, efficiency ratio of 89.97%, F -score ratio of 90.14%, recall ratio of 88.78% and less packet drop ratio of 33.3% compared to other methods. © 2023 IEEE.

关键词： Information management

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Slotted V Shaped Compact Wideband Antenna with Partial Ground Plane for Microwave Based Head Imaging Applications

Slotted V Shaped Compact Wideband Antenna with Partial Groun...

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International Conference on Electrical Information and Communication technology (EICT)

作者： Sonia Akter Moue Md. Samsuzzaman Md Zulfiker Mahmud Sefat Siddiquea Md Siam Talukder Sarna Majumder Faculty of Computer Science And Engineering Patuakhali Science And Technology University Bangladesh Dept. of Computer Science and Engineering Jagannath University Faculty of Computer Science and Engineering Patuakhali Science and Technology University Dumki Patuakhali Bangladesh

This study presents a detailed description of a Slotted V Shaped Compact Wideband Antenna designed for the purpose of microwave-based head imaging. The antenna under consideration comprises a radiating patch with a Vshaped slot and a partial ground with slots. Slots have been found to significantly improve the efficiency, dispersion of current, gain, and various other aspects of antennas. The antenna under consideration has a maximum gain of 5.85, operates within the frequency range of 4 to 8.06 GHz, and is deemed suitable for head imaging applications. The dimensions of the antenna under consideration are 0.33λ × 0.667λ × 0.21λ, where λ represents the wavelength, at a lower frequency of 4 GHz. Additionally, the antenna is equipped with a 50 ohm microstrip transmission line. The antenna is fabricated on a cost-effective FR4 substrate with a thickness of 1.5 mm. The antenna under consideration achieves a fractional bandwidth of 67.33% within the frequency range of 4 to 8 GHz. In order to optimize antenna performance, a comprehensive parametric analysis is carried out utilizing the widely recognized software tools HFSS and CST. The experimental testing and analysis of the prototype antenna yielded findings that exhibited a satisfactory level of concurrence with the corresponding calculations.

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Improvement of Task Scheduling with Energy Efficiency including Fault Tolerant with Resilient Computing System in Parallel and Distributed Communication Network 2

Improvement of Task Scheduling with Energy Efficiency includ...

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2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Kumar, Vijay Madhuri, P. Yamini, R. Sravani, Palla Muthukumar, K. Graphic Era Hill University Department of Physics Dehradun India Hyderabad501401 India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Tamil Nadu Kattankulathur603203 India Raghu Engineering College Department of Computer Science and Engineering Andhra Pradesh Visakhapatnam531162 India Sri Krishna College of Engineering and Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore India

ISBN: (纸本)9798350325799

In parallel and distributed communication networks, task scheduling is essential for attaining the best system performance. Innovative ways that may intelligently distribute computing resources while minimizing energy consumption and maintaining system resilience are required due to the rising need for energy efficiency and fault tolerance. This system, offers a unique approach to job scheduling in parallel and distributed communication networks that integrate genetic algorithms (GA) and machine learning (ML).Using ML approaches, proposed method analyses historical task execution data to discover patterns that may be applied to task execution time prediction in various computing systems. As a result, this can assign tasks to resources effectively, maximize resource usage, and cut down on execution time as a whole. In addition, using predefined objectives like energy efficiency and fault tolerance, GA is used to find the best task-resource assignments. This applies resilient computing approaches to the job scheduling procedure to overcome problems with fault tolerance. This prevents the execution of crucial operations from being hampered by system faults or resource shortages by utilizing fault detection and recovery technologies. This system can adapt dynamically to shifting network conditions through the combination of ML, GA, and resilient computing, which raises the entire system's reliability and availability. © 2023 IEEE.

关键词： Machine learning

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GPRS Based Health Monitoring System 1

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2nd International Conference on Advances in Information and Communication technology, ICTA 2023

作者： Deepa, A.R. Hoang, Quang-Trung Bui, Van-Tung Tran, Duc-Tan Ramaswamy, V. Sheela, C. J. Jeba Chowdhury, S. Tran, Duc-Nghia Department of Computer Science and Engineering Koneru Lakshmaih Educational Guntur Foundation India Faculty of Electrical and Electronic Engineering Phenikaa University Hanoi12116 Viet Nam Thai Nguyen University of Information and Communication Technology Thai Nguyen2400 Viet Nam Department of PG Computer Science Nesamony Memorial Christian College Marthandam India Chittoor AP Murukambattu India Institute of Information Technology Vietnam Academy of Science and Technology Hanoi Viet Nam

ISBN: (数字)9783031508189

ISBN: (纸本)9783031508172

The idea and prototype of an Internet of Things (IoT) based health monitoring gadget are introduced in this paper. We concentrate on leveraging the cloud and IoT to monitor temperature an coronary heart rate in real-time. This design can be utilized for the early diagnosis of heart illnesses given the rising number of cardiac patients throughout the world. Contrary to the majority of the current monitoring methods and systems, a variety of wireless technologies are available, but their range is constrained. IoT is being used in this session to monitor. There is no distance restriction with IoT. Through the internet, we can test a patient's coronary heart rate and temperature from anywhere. Our strategy involves using the cloud to track the temperature and heart rate in real time. Through the use of IoT technology, the recorded temperature and heart rate may be saved and instantly evaluated for prognosis and diagnosis. An integrated GPRS microcontroller on a single chip makes up the suggested hardware architecture for connecting to the internet. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Internet of things

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A 180-Degree Phase Difference Output of Wilkinson Power Divider Using Microstrip Parallel Coupled Lines 6

A 180-Degree Phase Difference Output of Wilkinson Power Divi...

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6th International Conference on Power, Energy and Innovations, ICPEI 2024

作者： Phanomupatum, Pratya Phromloungsri, Ravee Tama, Rachata Pongthavornkamol, Tiwat Wongpatsa, Decha Sonasang, Somchat Nakhon Phanom University Faculty Industrial Technology Department of Electronics Nakhon Phanom Thailand Udon Thani Rajabhat University Computer and Communication Engineering Faculty of Technology Udon Thani Thailand National Electronic and Computer Technology Center National Science and Technology Development Agency Location and Automatic Identification System Research Team Communication and Network Research Group Pathumthani Thailand Faculty Industrial Technology Nakhon Phanom Thailand

ISBN: (纸本)9798350356779

The design of a 180° output phase difference Wilkinson power divider for L-band applications is detailed in this article. The Wilkinson power is generated through the utilization of the parallel coupler's phase shifter. To showcase the potential of the suggested power divider, an FR4 microwave substrate is fabricated with a narrow band of 1.6 GHz to accommodate radio astronomy systems. The insertion loss, return loss, and isolation loss for the power divider's difference phase are accurately simulated at the operational frequency. © 2024 IEEE.

关键词： Radio astronomy

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