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Performance and Security Evaluation of Chaotic Maps for Image Scrambling in real-time applications 3

Performance and Security Evaluation of Chaotic Maps for Imag...

引用

3rd ieee international conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025

作者： Subashini, B. Panjatcharam, V.G. Saradha, S. Srm Institute of Science and Technology School of Computing College of Engineering and Technology Dept of Data Science and Business Systems Chennai India Vet Institute of Arts & Science(Co-Ed) College Dept of Mca Thindal Erode India Nandha Engineering College (Autonomous) Dept of Mca Erode India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

Image scrambling is an essential technique in secure image transmission, designed to obscure visual data from unauthorized access while preserving the ability to recover the original content. This study investigates the application of five chaotic maps such as Logistic Map, Arnold Cat Map, Lorenz System, Henon Map and Tent Map for image scrambling. Performance is evaluated using key metrics: Normalized Cross-Correlation (NCC), entropy, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and time complexity. Results indicate that the Arnold Cat Map provides the highest entropy (5.8680) and strong decorrelation (NCC = 0.8715), making it ideal for high-security applications. The Logistic Map, with the fastest execution time (0.0039 seconds), is suitable for real-time applications, offering moderate security and good image quality (PSNR = 11.5170, SSIM = 0.0229). The Lorenz System exhibited the best decorrelation (NCC = 0.8657), but its high computational cost limits its use in time-sensitive environments. By comparing the PSNR and SSIM results, this study highlights the balance between visual quality and security, suggesting that chaotic maps can be tailored for specific s ecurity n eeds. The novelty lies in the systematic comparison of these chaotic maps, providing a comprehensive evaluation for optimizing security and performance. © 2025 ieee.

关键词： Arnold Cat Map Henon Map Image Scrambling Logistic Map Lorenz System Tent Map

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Smart Living Solution to Optimize Building systems for Efficient Energy Usage and Prediction 4

Smart Living Solution to Optimize Building Systems for Effic...

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4th international conference on Communication systems, computing and IT applications, CSCITA 2023

作者： Masrani, Ekta Patel, Dwarkesh Khatri, Medhashakti Martis, Esha Gaur, Nidhi Computer Engineering Department St. Francis Institute of Technology Mumbai India

ISBN: (纸本)9781665459877

In this era of new technologies with the ever growing need for reliable ecological energy supplies, monitoring and reducing the energy consumption of buildings becomes a very crucial concern. Improved healthcare institutions available in the city, more employment opportunities, high standards of living, along with increase in population, has led to rapid urbanization resulting in development of a huge number of buildings. Buildings have become one of the most important contributors to energy consumption, which are responsible for around one-third of energy that is consumed in cities. This makes it very important to monitor and analyze the energy usage by such territories in a meaningful manner to further save energy and even help in cutting down financial costs. The proposed system provides various features as a solution to conserve energy, monitor the power consumption and water usage along with real time monitoring. Smart living allows you to have greater control of your energy usage, all while automating things like adjusting devices based on weather conditions, turning on or off appliances based on occupancy of the room, etc. It provides insights into energy use that can help you become more energy efficient and mindful of ecological factors. © 2023 ieee.

关键词： Automation

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Development of a real-time Object Detection System in the Highway Environment Using the YOLOv5 Algorithm for the Blind 7

Development of a Real-Time Object Detection System in the Hi...

引用

7th international conference of Computer and Informatics Engineering, IC2IE 2024

作者： Prasasat, Bumi Hamami, Faqih Musnansyah, Ahmad Telkom University Faculty of Industrial Engineering Department of Information Systems Bandung Indonesia

ISBN: (纸本)9798331505530

Individuals with visual impairments face significant challenges in navigating daily life, particularly in identifying objects on the road, such as vehicles, which affects their safety and mobility. Previous research has proposed various solutions using object detection technologies, yet there remains a need for further development, particularly in enhancing real-time performance, accuracy and practical deployment. This study aims to develop a real-time object detection system in the highway environment using the YOLOv5 algorithm for the blind deployed on web, specifically designed to support visually impaired individuals. Testing involved analyzing the latency and frames per second (FPS) of the detection system, crucial for real-time performance. The results indicate an average total latency of 1.711 seconds, a detection latency of 0.303 seconds, and an FPS of 1.65, with a Mean Average Precision (mAP) of 0.933 at an IoU threshold of 0.5, underscoring the system's capability to operate efficiently in real-time scenarios. The system achieves high accuracy and low latency real-time performance, demonstrating the effectiveness of YOLOv5 in practical applications. © 2024 ieee.

关键词： Object recognition

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Research on moving target detection in complex weather 23

Research on moving target detection in complex weather

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Yan, Zhaoqi Gai, Rongli School of Information Engineering Dalian University Dalian China

ISBN: (纸本)9781665494571

Due to the special weather such as haze and strong light, the air visibility will be reduced, which will affect the target capture by the computer vision system. In order to solve the interference with from fog of moving target detection, this design proposes a moving target detection method based on gray channels in complex weather, which can be applied to the embedded systems. In this design, the original image data captured by the camera is defogged, and the moving target is extracted by using an adaptive threshold gray frame difference method of the gray image. Finally, the defogged video is obtained by combining the morphological method and the bounding box method, and the moving target is labeled more accurately, The results show that the design can effectively output clear fog-free images and detect moving targets in haze weather. © 2021 ieee.

关键词： Computer vision embedded systems Smart cities Transportation Object detection Interference Hardware

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Evaluation of embedded Devices for real-time Video Lane Detection 29

Evaluation of Embedded Devices for Real-Time Video Lane Dete...

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29th international conference on Mixed Design of Integrated Circuits and System (MIXDES)

作者： Podbucki, Kacper Suder, Jakub Marciniak, Tomasz Dabrowski, Adam Poznan Univ Tech Fac Automat Control Robot & Elect Engn Inst Automat Control & Robot Div Signal Proc & Elect Syst Jana Pawla II 24 PL-60965 Poznan Poland

ISBN: (数字)9788363578220

ISBN: (纸本)9781665461764

This paper presents a comparison of the performance of embedded systems processing video sequences in real time. As part of the work, practical programs for detecting lanes located on airport areas, which allow autonomous vehicles to move around the airport, were tested. The following modules were used during the tests: Raspberry Pi 4B, NVIDIA Jetson Nano, NVIDIA Jetson Xavier AGX. For modules from the NVIDIA Jetson family, the maximum performance of video stream processing depending on the resolution and the selected power mode has been checked. The results of the experiment show that NVIDIA Jetson modules have sufficient computing resources to effectively track lines based on the camera image, even in low power modes.

关键词： lane detection embedded systems video analysis microprocessor power modes NVIDIA Jetson Raspberry Pi

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Observability Analysis of Nonlinear Input-Linear systems Based on Lie Derivations Using Interval Arithmetic 11

Observability Analysis of Nonlinear Input-Linear Systems Bas...

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11th ieee international conference on systems and Control, ICSC 2023

作者： Rosik, Michelle Dehnert, Robert Lerch, Sabine Tibken, Bernd School of Electrical Information and Media Engineering Automatic Control University of Wuppertal WuppertalD-42119 Germany

ISBN: (纸本)9798350304886

This paper presents a method to analyze the local observability of nonlinear systems with known inputs. For this purpose, an algorithm is presented that performs rank checking of the observability matrix using Lie derivatives. To overcome the limitations associated with inserting initial conditions and symbolically computing the derivatives, Interval arithmetic and Taylor series expansion with automatic differentiation are used. This allows observability to be analyzed over an entire domain. The algorithm provides the intervals for which observability cannot be proven by the rank criterion. This can be helpful when designing real-world applications. Two numerical systems are given as examples, with the first one having a constant input signal and the second one having an analytical input. © 2023 ieee.

关键词： Observability

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real-time Object Detection using an Ultra-High-Resolution Camera on embedded systems

Real-Time Object Detection using an Ultra-High-Resolution Ca...

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ieee international conference on Imaging systems and Techniques (IST) / ieee international School on Imaging

作者： Antonakakis, Marios Tzavaras, Aimilios Tsakos, Konstantinos Spanakis, Emmanouil G. Sakkalis, Vangelis Zervakis, Michalis Petrakis, Euripides G. M. Tech Univ Crete Sch Elect & Comp Engn Khania Crete Greece Fdn Res & Technol FORTH Inst Comp Sci Iraklion Crete Greece

ISBN: (纸本)9781665481021

Unnamed Aerial Vehicle (UAV) - based remote sensing is a promising technology that is being applied for inspecting live scenes from high altitudes (e.g., for surveillance and recognizing emergencies)..he evolution of hardware and software technologies in the last few years has generated additional interest in embedded systems research and its implementation in energy-independent UAVs for remote sensing. Alongside, ultra-high-resolution optical sensors are mandatory for acquiring high-resolution images which are necessary for accurate object detection from a distance (e.g., 1,000 meters). The processing of ultra-high-resolution images (e.g., 4K or 8K) is beyond the typical resolutions which are used for object detection (e.g., < 2K) emerging a necessity for special treatment in order to succeed a fast object detection. We propose a three-step approach deployed on a Docker runtime environment in an Nvidia Jetson AGX Xavier board. To support fast object detection, the captured images are split into K parts processed in parallel in separate containers running the YOLOv5 object detection algorithm. A final detection is constructed based on each one of the K detections. The experimental results are a good support to our claims of efficiency: the method can achieve close to real-time object detection for ultra-high (i.e., 8K) resolution images (i.e., in less than 1 second per frame).

关键词： ultra-high-resolution images real-time object detection YOLOv5 embedded systems remote sensing

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Tweeting from Left to Right: Tracing the Dynamics of Emotional Messaging and Public Engagement During the 2018 vs. 2022 US Campaigns 21

Tweeting from Left to Right: Tracing the Dynamics of Emotion...

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21st ieee international Symposium on Parallel and Distributed Processing with applications, 13th ieee international conference on Big Data and Cloud computing, 16th ieee international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Wang, Meng-Jie University of Canterbury School of Psychology Speech and Hearing Christchurch New Zealand

ISBN: (纸本)9798350329223

Despite numerous studies delving into social media politicking, there is, thus far, little understanding of how distinct emotions spread online. Much of the prior work has focused on positive vs. negative diffusion or measured emotional rhetoric without considering public engagement on such sites. Since elected officials increasingly turn to social media, even less is known about the impact of distinct emotional messaging on mobilizing users, attracting supporters, or disseminating political speeches. Moving beyond merely a valence-based approach, the study here seeks to address this gap by analyzing over 23,000 tweets posted by Senate candidates during the 2018 and 2022 US midterm elections through natural language processing. Specifically, leveraging the IBM Tone Analyzer, the present work implements a cross-sectional examination to explore: a) whether certain emotions - joy, confidence, anger, fear, and sadness - conveyed in candidates' tweets might be more likely to garner public attention;and b) if so, does this pattern vary across the political spectrum, illuminating the ways in which Democratic vs. Republican candidates adopt to expand their online reach over time? © 2023 ieee.

关键词： Natural language processing systems

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The Application of Virtual Fencing in Home Security systems

The Application of Virtual Fencing in Home Security Systems

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2024 international conference on Computer and applications, ICCA 2024

作者： Ignatius, Arnav Neil Jain, Anuj Chauhan, Parth Sandeep Upadhyaya, Vikas Niit University Department of Computer Science Neemrana India Niit University Ece Department Neemrana India

ISBN: (纸本)9798350367560

To increase the security of homes and bring relief to homeowners when they are away from it, Security systems that may be able to perform real-time monitoring and detection of intruders breaching the bounds of their property could be solved by implementing the concept of Virtual Fences in Computer Vision using Machine Learning. This paper covers previous implementations of Virtual Fencing while emphasizing Object Detection methods that are required to perform such a task. Explores the dichotomy between single stage and two stage detectors and compares their architecture, performance, and applications. It examines various datasets that may be used to train object detection models and performance metrics that could be used to analyse and benchmark the capabilities of such models. A proof of concept is developed using the YOLOv8 model and a custom Virtual Fencing Logic along with a comparison between performance of YOLOv8 and YOLOv9 variants. © 2024 ieee.

关键词： Adversarial machine learning

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Quantum AI-Enhanced Deep Reinforcement Learning for real-time Adaptive Beamforming in Next-Generation Terahertz Communication systems

Quantum AI-Enhanced Deep Reinforcement Learning for Real-Tim...

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7th international conference on Artificial Intelligence in Information and Communication, ICAIIC 2025

作者： Kashikar, Raj Virginia Polytechnic Institute and State University Department of Computer Science Blacksburg United States

ISBN: (纸本)9798331507022

With the ever-growing demand for ultra-high-speed data transmission and low-latency communication, Terahertz (THz) systems have become the most critical enablers in applications like virtual reality, autonomous driving, and massive IoT networks. However, these systems face challenges in signal propagation, interference management, and real-time beamforming. This paper presents a novel framework integrating Quantum AI and Deep Reinforcement Learning (DRL) for real-time adaptive beamforming in THz communication. Our method dynamically adjusts beamforming parameters using DRL to maximize signal strength and minimize interference while leveraging Quantum AI for accelerated decision-making in complex environments. Experimental results demonstrate a 35% improvement in Signal-to-Noise Ratio (SNR), a 40% reduction in interference, and a 25% increase in network throughput compared to conventional approaches. © 2025 ieee.

关键词： Quantum communication

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