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检索条件"机构=Computer Science And Engineering V.S.B Engineering College"

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A secure Data Encryption Mechanism in Cloud Using Elliptic Curve Cryptography 2

A Secure Data Encryption Mechanism in Cloud Using Elliptic C...

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2nd IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： sudha, I. Donald, Cecil Navya, s. Nithya, G. balamurugan, Manivannan saravanan, s. Saveetha Institute of Medical and Technical Sciences - Simats Department of Computer Science and Engineering Saveetha School of Engineering Chennai India Department of Computer Science Bengaluru India Raghu Engineering College Department of Computer Science Engineering Visakhapatnam India Department of Cse V. S. B College of Engineering Technical Campus Coimbatore India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Mathematics Tamil Nadu Avadi India

ISBN: (纸本)9798350306415

Cloud computing is undergoing continuous evolution and is widely regarded as the next generation architecture for computing. Cloud computing technology allows users to store their data and applications on a remote server infrastructure known as the cloud. Cloud service providers, such Amazon, Rackspace, vMware, iCloud, Dropbox, Google's Application, and Microsoft Azure, provide customers the opportunity to create and deploy their own applications inside a cloud-based environment. These providers also grant users the ability to access and use these applications from any location worldwide. The subject of security poses significant challenges in contemporary times. The primary objective of cloud security is to establish a sense of confidence between cloud service providers and data owners inside the cloud environment. The cloud service provider is responsible for ensuring user data's security and integrity. Therefore, the use of several encryption techniques may effectively ensure cloud security. Data encryption is a commonly used procedure utilised to ensure the security of data. This study analyses the Elliptic Curve Cryptography method, focusing on its implementation in the context of encryption and digital signature processes. The objective is to enhance the security of cloud applications. Elliptic curve cryptography is a very effective and robust encryption system due to its ability to provide reduced key sizes, decreased CPU time requirements, and lower memory utilisation. © 2024 IEEE.

关键词： Cloud computing cryptography data security ECC encryption

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An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning

An AI-powered smart health companion that detects stress to ...

引用

Advancement in Electronics & Communication engineering (AECE), International Conference on

作者： s. Gunasekaran Kathirvel s Kavin A Logeshwaran K Patmesh s Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

The name of the project is "An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning." It uses advanced technologies such as AI and ML, which has created a revolution in healthcare and changed people's approach to medical care. This initiative ensures personalized care and support by implementing innovative methods in medical aid coupled with stress detection through what can only be described as an elaborate blend of different technologies. Among the components used are React, ***, Python-based machine learning algorithms, MongoDb, and Firebase; they work together harmoniously to produce features like NLP chat application that allows users to easily engage in discussions about their health issues while receiving customized medical advice and suggestions.

关键词： Machine learning algorithms Accuracy smart healthcare Machine learning Learning (artificial intelligence) Chatbots Convolutional neural networks stress Medical diagnostic imaging Diseases

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An Empirical analysis of Parkinson kind of problem via predictive Machine Learning technique

An Empirical analysis of Parkinson kind of problem Via predi...

引用

Advancement in Electronics & Communication engineering (AECE), International Conference on

作者： M. sangeetha Ruchitha v.s.basni K.M vaishnavi D Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

Parkinson’s disease (PD) is a growing neurodegenerative disorder that exhibits abnormal shifts and a sort of added dispassionate exhibitions. Achieving an exact diagnosis of PD can explain the expected intimidating task on account of the correspondence of signs and symptoms, specifically in the beginning stages, to those of alternative healing environments or the open declining process. The main focus of this study is to improve the PD demonstrative process through the exercise of a convolutional neural network, Random Forest, and support vector Machine - all forms of Machine Learning proposed at the distinctive middle from two points things outside PD and those with the ailment. This method centers on recognizing departures in subjects' changes using illustration responsibilities. Furthermore, this research investigates the approximate influence of two illustration tasks, namely the cable dies and the spiral five of something, in the bias process. Demonstrating veracity of 93.5%, our convolutional classifier, prepared on images from the five-of-something illustration task and engaging improving methods, can serve as an unprejudiced method for critical betwixt PD cases and athletic individuals. Our sleek model has the potential to develop into an offline evident-occasion robotic diagnostic finish for sole-task requests, surely implementable in a dispassionate environment.

关键词： support vector machines spirals surveillance Predictive models Data models Convolutional neural networks Random forests Robots Machine intelligence Diseases

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Data security in Communication using blockchain and Key based Protocols

Data Security in Communication using Blockchain and Key Base...

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IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： s. Prabakaran Harinivaash K Prasad R Kaviyan J Rabin D Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

The development of global communication networks depends on satellite communication. Due to its lower stability and reach, satellite communication networks have garnered a lot of attention recently as a means of reducing the limitations of terrestrial networks. Numerous inconveniences exist, including inadequate storage space, security, and data processing capacity. Illegal entry turned out to be the difficult one. satellite physical limitations in terms of available power and area result in limited data processing capability, storage and security limitations, and the data may be exposed to alteration or contamination by intruders. since satellite communication has become more crucial in the development of global communication networks, there have been worries regarding its security. This project proposes to use the QKD protocol, which relies on identification and privacy protection, along with blockchain technology to create A network of satellite communication. To accomplish this, an architecture that consists of conventional and constrained devices connected to the blockchain via a wireless heterogeneous network has been developed. The communication is conducted by registration, authentication, and revocation. After receiving the data from the satellite, the terrestrial base station will log all important parameters on the distributed blockchain and remove any certificates belonging to rogue nodes. The proposed Chain and QKD system, which is based on satellites, offers a high degree of security for rapidly growing applications such as self-driving cars, future 6G and larger networks, and the Internet of Things.

关键词： Wireless communication base stations satellites Protocols Authentication Data processing blockchains Global communication satellite communications secure storage

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The Identification of Health of Heart Through Predictive ML based Technique in Integration with Existing system

The Identification of Health of Heart Through Predictive ML ...

引用

IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： s. Prabakaran Harish s Tamilselvan b Praveen Kumar b Gobinath b Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

New classes of diseases include; cardiovascular diseases: These are diseases associated with the heart and blood vessels and they are some of the classes of emerging infectious diseases that threaten human health around the world. for public health, is a big blow to complicated the issue that this is becoming a problem gradually, many researchers have been developing complicated systems that integrate patient’s electronic health records, as well as many others, and artificial neural networks algorithms in a bid to produce high diagnostic results. most of the frequent artificial intelligence particularly in a context where full patient data are instantiated for the purpose of inferring the heart diseases. and thereby merely claiming the most primordial facets of our population’s health. describes with exemplary accuracy the use of four separate classification methods: The used models in the current study are a) Multilayer Perceptron (MLP) b) RandomForest (RF) c) support vector Machine (svM), and d) XGboost. before the development of the conceptual models, this study went through pre-processing and doing features extraction to these analyses These were done in line with what is regarded as the best approach when doing the last phase in a given research process. When evaluating the results, the following standards were used: accuracy, precision, recall, F1-score as it has been mentioned earlier, the XGboost model shows a very high level of effectiveness The accuracy rate is rather high, 88%, which means the effectiveness of the instrument is high. Thus, this research study will fill this research gap of knowledge, as mentioned earlier, in a way that is appreciable. is a clear step in the right direction in addressing the high error rate that is associated with cardiovascular diagnosis while at the same time enhancing the validity with the MLP as well as the svM.

关键词： Heart support vector machines Radio frequency Accuracy soft sensors Prevention and mitigation Real-time systems Public healthcare standards Diseases

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Hue spectrum visualizer using python with OpenCv

Hue Spectrum visualizer using python with OpenCV

引用

IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： A. Raajyavardhini Gowthaman T Krishnamoorthy R Dhanush s Harish s Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

Color analysis is a significant source in many image processing processes consisting of automotive vehicle navigation, protest detection, traffic sign recognition, skin color analysis, and object tracking. The approach adopted in this study mainly relies on the ability to locate the color name right at the center of the camera frame and determine the objects of red, green, and blue colors using the bounding box property. by rating the amount of red, green and blue of each pixel's outfits, the colors of these pixel are revealed. Next, all objects of interest that fall within the video segment of interest are detected and located using rectangular boundary boxes based on the Hsv color model. The process used in this process entails the use of a dataset that has a tabular form with data on color names and its values to arrive at the best match. The values of Red, blue, and Green (RGb) as well as color names of each pixel are extracted, providing the means to track the three separate colors in the video stream. When a color is not detected in the reference data but observed in the real-time stream, a box surrounds the mentioned color: the color name is written above the box. It enhances the approaches to recognition of color and also provides significant improvements in the field of robotics. The application of these techniques generally involves the use of the OPENCv software library together with the PYTHON programming language.

关键词： Training Target tracking software libraries Image color analysis Webcams streaming media skin Real-time systems Object recognition Python

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AI-Driven Alert systems for an Intuitive Animal Monitoring system

AI-Driven Alert Systems for an Intuitive Animal Monitoring S...

引用

Advancement in Electronics & Communication engineering (AECE), International Conference on

作者： P. Latha Diana Inba Malar Y Hemavarthini C s Manjuparkavi v sneha s Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

All animals that can sight, including humans, do so in a way that appears instinctive and natural. Creatures use their vision system early in life often even from birth to traverse their surroundings, recognize and communicate with other creatures, and learn about their surroundings. because of this, an animal's vision system is continuously being educated and modified to enable it to do a variety of activities. In humans, for instance, this system works by way of the optic nerve, which transmits light data from the eye to the brain for interpretation and processing. This sophisticated vision system enables us to focus on objects and see the world in three dimensions, all while being able to autonomously adjust to changing light conditions. It is possible to think of computer vision, digital image processing, and digital image analysis as a combination of phrases that are frequently used to refer to related operations. The main reason for this misconception is that they are related fields that arose with the advancement of digital picture capture. Thus, it's important to comprehend how these fields relate to one another, how a digital image is created, and how the various sensors that are available each best suited for a particular application differ. since the introduction of charge- coupled devices, which signaled the beginning of digital imaging, the field has developed very quickly. In this project, a camera that records the surroundings all day long will be used to periodically monitor the entire farm. We can identify when an animal is entering with the aid of a deep learning model, and then we play the right sounds to eject the animal.

关键词： Deep learning YOLO computer vision spirals Animals Reviews Digital images Machine vision search problems Monitoring

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Tramline surveil system Escorting Liability Observation and Localization

Tramline Surveil System Escorting Liability Observation and ...

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IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： K. bhavadharani Dheepa M Dharshini M bangadharshini D Dhivyabharathi N Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

Our robotic system, which combines IoT monitoring and Arduino- based technology to detect obstacles and cracks, is important for railway track inspection. The robot's sensors are designed to match the characteristics of train tracks, ensuring accurate track defect detection and reliable obstacle recognition. This innovative approach provides an automated, low-cost solution for spotting potential hazards, with the purpose of increasing railway track maintenance efficiency. by seamlessly integrating the robot's real-time data collecting into the IoT platform, railway officials will be able to remotely monitor track conditions and perform maintenance measures as needed. Our effort addresses critical safety and maintenance challenges to create a more dependable and safer rail network by combining cutting-edge technology with railway infrastructure requirements. by offering an autonomous, low-cost, and highly sophisticated design that enhances the security and effectiveness of railroad foundation perpetuation, this innovative electronics seeks to transform railroad path inspection procedures. We hope to modernise train networks and provide a reliable, secure way of transport with the aid of this initiative.

关键词： Motor drives Technological innovation surveillance Transforms Inspection sensor phenomena and characterization Robot sensing systems Rail transportation Maintenance Intelligent sensors

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Eye Detection Wheelchair with smart Monitoring Using Deeplearning in CNN

Eye Detection Wheelchair with Smart Monitoring Using Deeplea...

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IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： R. Muthuchelvan Divagarvasu. P Gopinath. s Gokul Prasanth. v Gowtham. J Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

Individuals with severe cervical spinal cord injuries often face important challenges in interacting with their environment, including difficulties using smart phones or operating powered wheel chairs. For those with tetraplegia, Eye-tracking technologies have emerged as a crucial tool for enhancing control and convey. However, confinement in accuracy, practicality, an calibration time often plague conventional eye-tracking devices. Researchers have explored Convolutional Neural Networks(CNNs) as a potential solution to address these shortcoming in AI-powered eye tracking system. CNNs a type of deep learning architecture excel at recognizing complex pattern in a data, leading to more precise and reliable eye tracking. An mostly good way to argument the eye tracking correctness method. This technique outline a more reliable and result way to interact with digital mechanism by using deep learning algorithms to admit and track eye movements based on blink count. This technology has the power to conversion the way we interact with digital technologies, greatly improving their usefulness and accessibility for those who suffer from confusion or impairments. For human beings who have trouble with standard eye tracking because of motor restrictions, vision depletion, or other reductions

关键词： Deep learning Tracking Wheelchairs Wheels Gaze tracking Reliability Convolutional neural networks Artificial intelligence standards Monitoring

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IoT based speed Control and Accident Avoidance Using black box

IoT Based Speed Control and Accident Avoidance Using Black B...

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IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： R. suganya sindhu K varshini v Nidharshana b siva Prabha s Department of Computer Science and Engineering V.S.B. Engineering College Karur India

ISBN: (数字)9798350368109

ISBN: (纸本)9798350368116

The system employs various sensors and advanced algorithms to lessen traffic hazards. Onboard sensors like GPs, accelerometers, gyroscopes, and proximity sensors track vehicle data in real-time. This data is analyzed locally or sent to a central unit for further processing. sophisticated computers assess the data to anticipate collision risks, predict dangers, and recommend safe speeds. Proactive measures, like automated speed adjustments and collision avoidance, are taken when hazards are detected. Communication technologies such as v2X facilitate real-time data sharing between infrastructure and vehicles, enhancing situational awareness and collaborative decision-making. A black box records crucial data for accident investigation and performance analysis. Machine learning algorithms continuously improve system functionality based on real-world data. Due to the usage of black box, the data which has been collected will sent to nearly located base station, police station, hospital, or home along with latitude and longitude of the vehicle’s location.

关键词： Electronic equipment structural panels Flight recording velocity control Transportation Real-time systems Hazards sensors vehicle-to-everything Accidents

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