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Enhancing Access Control in Cloud Storage through Sanitizable Access Control System

Enhancing Access Control in Cloud Storage through Sanitizabl...

computational Intelligence for Security, Communication and Sustainable Development (CISCSD), International Conference on

作者： Kolli Naveena M Suleman Basha Chanda Sai Sathvik Tadikamalla Revanth Mahajan Polepaka Nithin Emmanuel CSE (Cyber Security) Institute of Aeronautical Engineering Hyderabad India Dept. of CSE (Data Science) RGM College of Engineering and Technology (Autonomous) Nandyal Andhra Pradesh India Dept. of CSE (Cyber Security) Institute of Aeronautical Engineering Hyderabad India

ISBN: (数字)9798350365405

ISBN: (纸本)9798350365412

There is a need to help a persuading public taking a gander at with showing which beats the check of the expected to inspect plan. The proposed structure is made to genuinely take a gander at the exactness of cloud information through Organized able, strangely or on request without recovering the whole information or without changing extra electronic issue with the cloud clients and cloud servers. It guarantee that no information content is spilled to Instructive during the inspecting structure. It stays mindful of cutoff rightness of information, unsurprising quality and security of managed information. The proposed imagine combines three key parts; they are information proprietor, cloud server cutoff and Specialist.

关键词： Access control Cloud computing Privacy Security Servers Synchronization Cryptography Sustainable development Homomorphic encryption Edge computing

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Security of Electronic Health Record using Attribute based Encryption on Cloud

Security of Electronic Health Record using Attribute based E...

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Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on

作者： B. Murali Krishna I. Sapthami M. Srivani Ranjith Kumar Rupani Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Department of Computer Science and Engineering (Data Science) CVR College of Engineering Hyderabad Dept. of Computer Science and Engineering Koneru Lakshmaiah Education Foundation

Because of the likelihood of data breaches and the potential hazards of patient information, healthcare institutions face significant challenges in implementing cloud-based Electronic Health Record (EHR) systems. Current authorization models are based on a patientdriven approach to EHR system management, in which the patient’s agreement to allowing data access is prioritised. However, the patient has a considerable burden in ensuring the security of their healthcare record. Given the problems that healthcare providers confront, many employees are apprehensive to use cloud-based EHR systems. data breaches and patient data compromise can result in serious legal and financial ramifications for healthcare organisations. To overcome these issues, healthcare organisations must implement more robust permission models that prioritise patient data protection and privacy. This necessitates a transition from the present patient-driven strategy to a more proactive one that prioritises data security and privacy across the EHR management process. By introducing more advanced permission models and robust security mechanisms, medical organisations can minimise the dangers associated with cloud-based EHR systems while also ensuring patient data privacy and security. Not only will this improve patient outcomes, but it will also shield healthcare organisations from legal and financial responsibilities.

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Bistable Actuators Based on Shape Memory Alloy/ Polymer Composites

Bistable Actuators Based on Shape Memory Alloy/ Polymer Comp...

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2022 International Conference on Shape Memory and Superelastic Technologies, SMST 2022

作者： Curtis, Sabrina M. Dengiz, Duygu Velvaluri, Prasanth Bumke, Lars Quandt, Eckhard Curtis, Sabrina M. Sielenkämper, Marian Wulfinghoff, Stephan Arivanandhan, Gowtham Li, Zixiong Kohl, Manfred Inorganic Functional Materials Institute for Materials Science Kiel University Kiel Germany Dept. of Materials Science and Engineering University of Maryland College ParkMD United States Computational Materials Science Institute for Materials Science Kiel University Kiel Germany Karlsruhe Germany

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APC System: A system for the Blind and Deaf Who Face Visual and dept. Perception Challenges

APC System: A system for the Blind and Deaf Who Face Visual ...

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Recent Advances in science and engineering Technology (ICRASET), International Conference on

作者： Suraya Mubeen G.V. Ashritha Sanjeev Bandru Marri Sireesha Nuthanakanti Bhaskar Voruganti Naresh Kumar Dept. of Electronics and Communication Engineering CMR Technical Campus Hyderabad Telangana India Dept. of Computer Science and Engineering (Data Science) CMR Technical Campus Hyderabad Telangana India Dept. of Information Technology Sreenidhi Institute Of Science And Technology Hyderabad Telangana India Dept. of Computer Science and Engineering CMR Technical Campus Hyderabad Telangana India

In this paper, APC System (Assistive Path Control System) is proposed to provide blind and deaf individuals with the assistance they need to navigate their environment by using the "third eye" technology. As part of the technology, a hand glove and a stick are used to identify obstacles using ultrasonic sensors and to provide haptic feedback through vibrations in order to detect obstacles. Wearers of the glove are alerted through a buzzer and provided with feedback on distance and direction of obstacles in their path, while those of the stick are given feedback on the change in elevation and dept. over time. The use of vibrations as a form of feedback is crucial to the functioning of deaf people. Testing of the technology has shown promising results, and future work will focus on optimizing accuracy and accessibility by using machine learning algorithms in order to improve the system. As a primary goal of the APC System is to enhance the quality of life for blind and deaf individuals by providing them with a tool that will help them navigate their environment in the most effective manner.

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A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

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International Electrical engineering Congress (iEECON)

作者： Panjawee Rakprayoon Akechai Ounsiri Ratchanon Chongyoa Dept. AI Engineering and Data Science Faculty of Engineering Bangkok University Pathum Thani Thailand DNA ROBOTICS and Automation System Company Limited Pathum Thani Thailand Dept. Computer and Robotics Engineering Faculty of Engineering Bangkok University Pathum Thani Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

For an AI tic-tac-toe manipulator application, a real-time vision-based approach is proposed. The technique employs the RealSense camera to capture color and dept. images. Combining object detection and image processing techniques to identify X's and O's positions on the game board. However, we recognize that errors can occur during object movement when using only 2D images. To solve this problem, a calibration method between RealSense and the manipulator based on the point-to-plane ICP algorithm is presented. This method provides the 3D object position in the robot coordinate, resulting in increasing the accuracy from 86.25% to 97.25%. Our experiment shows that this technique is highly effective and can accurately identify position objects.

关键词： Three-dimensional displays Robot kinematics Robot vision systems Games Object detection Manipulators Real-time systems

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Fabrication and Characterization of Natural Dye Sensitized Solar Cells With Red Spinach and Henna Extracts for Enhanced Efficiency

Fabrication and Characterization of Natural Dye Sensitized S...

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Power, Electrical, and Electronics and Industrial Applications (PEEIACON), IEEE International Conference on

作者： Nafis Fuad Wasi Akib Jayed Islam Sultanus Salehin Kamaruzzaman Subrata Bhowmik Dept. of EEE Noakhali Science and Technology University Sonapur Noakhali Computational Colour and Spectral Imaging (COSI) Norwegian University of Science and Technology GjØvik Norway Dept. of ECE The University of Alabama Tuscaloosa USA Dept. of Electrical and Electronic Engineering (EEE) Noakhali Science and Technology University (NSTU) Sonapur Noakhali Dept. of EEE Noakhali Science and Technology University (NSTU) Sonapur Noakhali

ISBN: (数字)9798331517984

ISBN: (纸本)9798331517991

This study evaluates the efficacy of different TiO 2 paste formulations on natural dye-sensitized solar cells (DSSCs) in indoor and outdoor settings. It investigates the impact of various factors, including electrolyte sheet thickness, industrial-grade TiO 2 , and electrolyte concentration, on cell electrical characteristics and durability. Red spinach (Amaranthus cruentus) and henna (Lawsonia inermis) dyes are specifically highlighted as sensitizers. Accurate performance analysis is facilitated by controlled laboratory conditions. DSSCs created with these natural dyes exhibit diverse electrical behaviors under varying conditions. In comparative experiments conducted under the standard AM 1.5G solar spectrum suitable for Bangladesh's environment, red spinach-sensitized cells achieved an efficiency of 0.81%, significantly higher than the 0.018% efficiency of henna-sensitized cells.

关键词： Fabrication Photovoltaic cells Solar energy Production Pigments Electrolytes Performance analysis Fuels Titanium dioxide Standards

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UDC-SIT: a real-world dataset for under-display cameras 23

UDC-SIT: a real-world dataset for under-display cameras

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Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Kyusu Ahn Byeonghyun Ko HyunGyu Lee Chanwoo Park Jaejin Lee Dept. of Data Science Seoul National University Seoul Republic of Korea and Research Center Samsung Display Co. Ltd. Yongin Republic of Korea Dept. of Computer Science and Engineering Seoul National University Seoul Republic of Korea Dept. of Data Science Seoul National University Seoul Republic of Korea and Dept. of Computer Science and Engineering Seoul National University Seoul Republic of Korea

Under Display Camera (UDC) is a novel imaging system that mounts a digital camera lens beneath a display panel with the panel covering the camera. However, the display panel causes severe degradation to captured images, such as low transmittance, blur, noise, and flare. The restoration of UDC-degraded images is challenging because of the unique luminance and diverse patterns of flares. Existing UDC dataset studies focus on unrealistic or synthetic UDC degradation rather than real-world UDC images. In this paper, we propose a real-world UDC dataset called UDC-SIT. To obtain the non-degraded and UDC-degraded images for the same scene, we propose an image-capturing system and an image alignment technique that exploits discrete Fourier transform (DFT) to align a pair of captured images. UDC-SIT also includes comprehensive annotations missing from other UDC datasets, such as light source, day/night, indoor/outdoor, and flare components (e.g., shimmers, streaks, and glares). We compare UDC-SIT with four existing representative UDC datasets and present the problems with existing UDC datasets. To show UDC-SIT's effectiveness, we compare UDC-SIT and a representative synthetic UDC dataset using five representative learnable image restoration models. The result indicates that the models trained with the synthetic UDC dataset are impractical because the synthetic UDC dataset does not reflect the actual characteristics of UDC-degraded images. UDC-SIT can enable further exploration in the UDC image restoration area and provide better insights into the problem. UDC-SIT is available at: https://***/mcrl/UDC-SIT.

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Blind Deconvolution on Graphs: Exact and Stable Recovery

arXiv

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arXiv 2024年

作者： Ye, Chang Mateos, Gonzalo Dept. of Electrical and Computer Engineering University of Rochester Rochester United States Goergen Institute for Data Science University of Rochester Rochester United States

We study a blind deconvolution problem on graphs, which arises in the context of localizing a few sources that diffuse over networks. While the observations are bilinear functions of the unknown graph filter coefficients and sparse input signals, a mild requirement on invertibility of the diffusion filter enables an efficient convex relaxation leading to a linear programming formulation that can be tackled with off-the-shelf solvers. Under the Bernoulli-Gaussian model for the inputs, we derive sufficient exact recovery conditions in the noise-free setting. A stable recovery result is then established, ensuring the estimation error remains manageable even when the observations are corrupted by a small amount of noise. Numerical tests with synthetic and real-world network data illustrate the merits of the proposed algorithm, its robustness to noise as well as the benefits of leveraging multiple signals to aid the (blind) localization of sources of diffusion. At a fundamental level, the results presented here broaden the scope of classical blind deconvolution of (spatio-)temporal signals to irregular graph domains. © 2024, CC BY.

关键词： Deconvolution

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Brain-Powered Vehicles for Individuals with Disabilities Leveraging AI

Brain-Powered Vehicles for Individuals with Disabilities Lev...

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Technological Advancements in computational sciences (ICTACS), International Conference on

作者： T. Jisna Jaison Priyanka E. Thambi Nikita Pinheiro Dept. of Artificial Intelligence & Data Science SCMS School of Engineering and Technology Karukutty India Rajagiri College of Social Sciences (Autonomous) Kalamasery India Dept. of Computer Science St. Paul's College Kalamasery India

ISBN: (数字)9798350387490

ISBN: (纸本)9798350387506

This paper provides a novel method for enhancing mobility and independence for people with disabilities via integrating Brain-pc interface (BCI) generation with artificial intelligence (AI) for vehicle control. The proposed device permits customers to control important vehicle features which includes steerage, braking, and acceleration the usage of their Brain indicators, captured through non-invasive EEG sensors. Preliminary checking out with diverse person agencies established an outstanding accuracy price of over ninety% in deciphering person intentions and efficaciously controlling the automobile. The device adapts to person neural styles, ensuring personalized and dynamic control, and extensively improves person autonomy and self-assurance. However, demanding situations which include sign noise, user variability, and long-time period device stability stay. This studies demonstrates the capacity for BCIs and AI to revolutionize transportation for individuals with disabilities, supplying an exceptional level of independence. Future trends will focus on improving signal clarity, improving machine stability, and addressing regulatory issues to make sure safe, real-world application.

关键词： Noise Transportation Process control Sensor phenomena and characterization People with disabilities Market research Electroencephalography Artificial intelligence Vehicle dynamics Intelligent sensors

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A Detailed Investigation of Deep Learning and Machine Learning Approaches for Sugarcane Foliage Disorder Identification

A Detailed Investigation of Deep Learning and Machine Learni...

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Smart Electronics and Communication (ICOSEC), International Conference on

作者： Ruquia Taha Khatoon Dasari Ashok S Kumar Reddy Mallidi Vellaturi Gopikrishna Pothuganti Srikanth P Bhaskar Dept of Computational Intelligence Malla Reddy College of Engineering and Technology (A) Telangana India Dept. of CST Madanapalle Institute of Technology & Science (A) Madanapalle Andhra Pradesh India Dept. of CSE Sri Vasavi Engineering College Tadepalligudem Andhra Pradesh India Dept. of IT MLR Institute of Technology Telangana India Dept. of CSE Malla Reddy Engineering College (A) Maisammaguda Telangana India Dept. of CSE QIS College of Engineering and Technology (A) Ongole India

ISBN: (数字)9798331504403

ISBN: (纸本)9798331504410

Our nation grows an enormous amount of sugarcane. Sugarcane is no exception to the rule that plants are susceptible to disease. One problem with the sugar industry is that small-scale farmers lose revenue when sugarcane diseases aren’t identified and addressed in time to save the growing crops. A popular way for a farmer to discover and diagnose sugarcane illnesses is by visual inspection. Using this method on large farms becomes more laborious and time-consuming. The farmers and sugarcane business are both put at risk if it is not handled sooner. This inquiry was motivated by the ever-increasing types of ailments and the fact that farmers have limited abilities when it comes to diagnosing and identifying these diseases. A combination of Deep Learning (DL), Computer Vision (CV), and Machine Learning (ML) can solve this challenge. To boost agricultural output and efficiency, specialists have taken an interest in prompt disease identification and diagnosis. Losses may be avoided by employing ML and DL algorithms for early disease detection in sugarcane crops. The purpose of this research was to quickly and accurately extract diagnostic information from sugarcane using a variety of image processing and DL methods. Additionally, the difficulties and potential future directions of computational methods for evaluating sugarcane infestations are brought to light.

关键词： Deep learning Plant diseases Visualization Crops Production Pest control Sugar industry Minerals Potassium Diseases

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