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Application of Computer 3D Image Vision Algorithm in Intelligent Image Recognition System 5

Application of Computer 3D Image Vision Algorithm in Intelli...

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2023 5th International Conference on Artificial Intelligence and Computer applications, ICAICA 2023

作者： Li, Yuan Yu, Xin Modern Finance Industry School Shandong Institute of Commerce and Technology Shandong Jinan China

ISBN: (纸本)9798350323313

In this paper, the 3D space imaging model of machine vision is constructed. Starting from the traditional machine vision image processing algorithm flow, the image denoising process and target tracking process are optimized. The method uses the camera to collect the image and video information of the measured object, and transmits it to the controller. The controller corrects the signal obtained by the wireless sensor in the database to reproduce the position of the measured object and the 3D image. A real-time tracking method of motion trajectory based on computer vision is presented. The object autonomous capture, 3D position and motion trajectory tracking. Simulation experiments show that this method is quite different from conventional image processing methods. This method has the advantages of small computation, fast running speed and good real-time performance. It meets the needs of embedded image processing. © 2023 ieee.

关键词： Image recognition

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Unlocking Eye Gestures with Earable Inertial Sensing for Accessible HCI 17

Unlocking Eye Gestures with Earable Inertial Sensing for Acc...

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17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Chugh, Garvit Chakraborty, Suchetana Chakraborty, Sandip Indian Institute of Technology Department of Computer Science and Engineering Jodhpur India Indian Institute of Technology Department of Computer Science and Engineering Kharagpur India

ISBN: (纸本)9798331531195

Eye gestures are widely used in many applications, including device control, biometrics, visual analytics, and health-care, like Alzheimer's, accessibility, etc. The conventional method for eye gesture detection needs visual information processing devices or smart glasses to capture the movement patterns of the eyeballs. In this paper, we present a novel framework that utilizes inertial measurement unit (IMU) sensors embedded in earable devices for real-time eye gesture detection, which can work as a complementary to visual information processing devices. The framework translates specific eye movements into actionable commands, enabling hands-free interaction for users with limited mobility. Through extensive experimentation with 14 participants across diverse activities such as sitting, walking, running, and driving, the framework demonstrated high accuracy in eye gesture recognition, achieving a macro F1 score of 0.85 on our self-collected dataset. © 2025 ieee.

关键词： Eye movements

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Common Vertex Buffer LOD: A Novel Discrete LOD Approach to Reducing Load Latency 6

Common Vertex Buffer LOD: A Novel Discrete LOD Approach to R...

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6th International symposium on Computer, Consumer and Control, IS3C 2023

作者： Chen, Hung-Kuang National Chin-Yi University of Technology Department of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9798350301953

The level-of-detail (LOD) technique has been proved to be an effective technique in balancing the rendering efficiency and fidelity demands in the interactive 3D computer graphics applications. Among previously proposed geometric LOD techniques, the discrete, or static, LOD technique is the most adopted representation in real-time 3D graphics applications such as the virtual reality (VR) and 3D computer game. According to previous works, the discrete LOD representations usually suffers from the 'popping effect' causing visual disturbance when switching LOD meshes;to cope with this, techniques such as geo-morphing and LOD blending were proposed. However, they either require additional efforts in converting underlying mesh representation or consume additional storage space or transmission cost. In this paper, we have proposed a novel LOD representation based on the concept of sharing a common vertex buffer among the various LOD meshes of a model. The novel LOD representation, called Common Vertex Buffer LOD, denoted as CVB-LOD, has the benefits of saving transmission and storage costs, lower mesh loading latency that effectively reduces the popping effect in switching LOD meshes. © 2023 ieee.

关键词： Blending

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Performance Analysis of Low Power Long Range Protocol LoRaWAN for embedded applications

Performance Analysis of Low Power Long Range Protocol LoRaWA...

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2024 International Conference on Advancements in Power, Communication and Intelligent Systems, APCI 2024

作者： Saritha, E. Sajesh Kumar, U. Govt. College of Engineering Dept. of Electronics and Communication Engineering Kannur India

ISBN: (数字)9798350363289

ISBN: (纸本)9798350363289

LoRaWAN is a key technology for the Internet of Things. Generally, IoT application requires infrequent transmission of small data. The challenges in deploying wireless access technology for IoT are the deployment of large number of nodes and power constrained transmission. Among the available technologies, LoRaWAN ensures the ability to handle large number of nodes, less power consumption, longer transmission range and cheaper communication module. This paper presents a performance evaluation of LoRa network in respect to those claims. The work analyses the performance using network simulator ns3 and in real time. The performance study was carried out in terms of packet delivery ratio, received power per transmission, selection of spreading factor and communication range. The result shows that the performance of LoRa network depends highly on the selection of spreading factor, distance of the nodes from the gateway, communication channel and number of nodes. By analysing the results possible solutions to the existing challenges can be suggested. © 2024 ieee.

关键词： Gateways (computer networks)

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Smart Continuous Wearable real time Monitoring System for Human Health Care based on IoT 8

Smart Continuous Wearable Real Time Monitoring System for Hu...

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8th International symposium on Innovative Approaches in Smart Technologies, ISAS 2024

作者： Kailan, Safa L. Muhammed, Abbas Ahmed Mohammed, Alaa Hamid Al-Naemi, Auns Qusai Al-Sabti, Saif Mohamed Baraa Abdulateef, Ihsan Amjad Al-Nahrain University College of Engineering Department of Biomedical Engineering Baghdad Iraq University of Al Maarif College of Engineering Department of Medical Instruments Engineering Iraq Albayan University Technical College of Engineering Department of Medical Instruments Techniques Engineering Baghdad Iraq University of Al Maarif College of Engineering Department of Computer Technology Engineering Iraq

ISBN: (纸本)9798331540104

The lifestyle has been various during aging and the variables change of any physiological signals of the human body may lead to disorders in some organs. The need to monitor the most important vital signs of the human body is necessary to avoid any complications that may be presented in the future. The aim of the study was: (1) to design a device for monitoring parameters of the human body (ECG, HR, BP, Temperature, and SPO2) at a suitable cost that can be anyone use the device in his house and send the data to the local station (2) used the internet of things (IoT) for real-time monitoring the physiological signal. The device was designed and implemented on ten subjects. The results were obtained from the Integrated Development Environment (IDE) Software of the microcontroller programming and the *** program for IoT applications. The results were compared to the monitor device and showed approximated reading data. © 2024 ieee.

关键词： Electronic health record

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A Self Aware Security Approach for real time Neural Network applications from Row Hammer Attacks in Multi FPGA Multi User Environment 36

A Self Aware Security Approach for Real Time Neural Network ...

引用

36th ieee International symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2023

作者： Guha, Krishnendu Bhattacharyya, Gouriprasad Ireland Intel India

ISBN: (纸本)9798350315004

The present era has witnessed the wide deployment of reconfigurable hardware or field programmable gate arrays (FPGAs) in several critical infrastructures. Designers deploy multiple FPGAs in such critical infrastructures and utilize the dynamic partial reconfiguration property of FPGAs to divide its fabric into multiple virtual partitions and offer them to users to host their custom applications. Users may develop smart neural network (NN) based applications and host them in such environments. Building and training such applications need knowledge, resource and time. Hence, their architecture and working need significant protection and security. Malicious co-users in an FPGA platform may try to steal or modify the secret information, which in the present case are the NN weights and biases that are stored in the local DRAM. Secret information stealing can take place via side-channels, while attacks like the row hammer can modify them at runtime. Existing works essentially focus on how stealing such information via side channels is possible and propose their related security techniques. To the best of our knowledge, none focus on attacks that modify this information and lead to erroneous result, which may ultimately cause fatal consequences. In this work, we depict how row hammer attacks can modify the information and propose a runtime security strategy to mitigate it. In this mechanism, we develop runtime agents (RAs) that monitors the memory access and on detecting any anomalous behaviour, communicates with other RAs to outsource the application and complete them within time. The malicious application is isolated, to prevent any future malfunction. Low overhead of the RAs and high success rate depict the effectiveness of our strategy for practical scenarios. © 2023 ieee.

关键词： Field programmable gate arrays (FPGA)

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Ethics in Motion: Interactive Software for Ethical Decision-Making in Autonomous Vehicles 56

Ethics in Motion: Interactive Software for Ethical Decision-...

引用

56th Annual SIGCSE Technical symposium on Computer Science Education, SIGCSE TS 2025

作者： Krystofiak, Tony Byron, Anna Ohmann, Peter Amthauer, Heather College of Saint Benedict and Saint John's University Saint Joseph MN United States

ISBN: (纸本)9798400705328

We developed an interactive software tool tailored for introductory computer science education, specifically for courses taught in Python. The software is designed to engage students in ethical decision-making through the simulation of emergency scenarios involving self-driving vehicles. In these scenarios, where the vehicle's brakes fail, students must refine the car's "ethics engine" to determine the best course of action: continuing straight, swerving into another lane, or crashing into a barrier. Students develop algorithms that consider various factors such as age, gender, race, and physical ability, emphasizing that algorithms are not neutral but reflect embedded societal values. This hands-on, iterative process encourages students to critically evaluate their decisions and understand the broader ethical implications of programming choices. By providing real-time feedback on the consequences of their algorithms, the software fosters critical thinking and ethical awareness, helping students to see how technology and societal values intersect in real-world applications. This project highlights the essential role of ethics in CS education, preparing students to navigate complex moral landscapes in technology. © 2025 Copyright held by the owner/author(s).

关键词： cs0 cs1 embedded ethics introductory computer science

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MATE: Masked Autoencoders are Online 3D Test-time Learners

MATE: Masked Autoencoders are Online 3D Test-Time Learners

引用

ieee/CVF International Conference on Computer Vision (ICCV)

作者： Mirza, M. Jehanzeb Shin, Inkyu Lin, Wei Schriebl, Andreas Sun, Kunyang Choe, Jaesung Kozinski, Mateusz Possegger, Horst Kweon, In So Yoon, Kuk-Jin Bischof, Horst Graz Univ Technol Inst Comp Graph & Vision Graz Austria Christian Doppler Lab Embedded Machine Learning Vienna Austria Korea Adv Inst Sci & Technol KAIST Daejeon South Korea Southeast Univ Nanjing Peoples R China

ISBN: (纸本)9798350307184

Our MATE is the first Test-time-Training (TTT) method designed for 3D data, which makes deep networks trained for point cloud classification robust to distribution shifts occurring in test data. Like existing TTT methods from the 2D image domain, MATE also leverages test data for adaptation. Its test- time objective is that of a Masked Autoencoder: a large portion of each test point cloud is removed before it is fed to the network, tasked with reconstructing the full point cloud. Once the network is updated, it is used to classify the point cloud. We test MATE on several 3D object classification datasets and show that it significantly improves robustness of deep networks to several types of corruptions commonly occurring in 3D point clouds. We show that MATE is very efficient in terms of the fraction of points it needs for the adaptation. It can effectively adapt given as few as 5% of tokens of each test sample, making it extremely lightweight. Our experiments show that MATE also achieves competitive performance by adapting sparsely on the test data, which further reduces its computational overhead, making it ideal for real-time applications.

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real-time Object Detection in UAV Vision based on Neural Processing Units 6

Real-Time Object Detection in UAV Vision based on Neural Pro...

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6th ieee Information technology and Mechatronics Engineering Conference, ITOEC 2022

作者： Liu, Ming Tang, Linbo Li, Zongya Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781665431859

With the reduction of Unmanned Aerial Vehicle (UAV) hardware cost and the development of deep learning algorithm, the real-time object detection algorithm applied in UAV vision has great advantages in many fields. However, due to the limited energy consumption and computing power of embedded devices used in the drones and the variable object scales and complex backgrounds in the UAV vision restrict the applications in object detection based on the drones. In this paper, we optimized the generation of anchor boxes, introduced a new module to increase the receptive field to improve the detection of small targets, and used adaptively spatial feature fusion in the feature pyramid to increase feature fusion of multi-scale features. At last we pruned the model to make it lighter and faster, and got the Average Precision (AP) of 89.7% for UAV car aerial images and the speed of 35.7 FPS by running on Neural Processing Units (NPUs), which proves the feasibility of the intelligent object detection algorithm's efficient processing in hardware resource limited environment. © 2022 ieee.

关键词： Energy utilization

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Enhancing Security with Intelligent Video Surveillance: An In-Depth Study of technology, applications, and System Architecture 4

Enhancing Security with Intelligent Video Surveillance: An I...

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4th International symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Huang, Ruijie Liu, Weixin AI of FST Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China AM of FST Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China

ISBN: (纸本)9798331541729

With the continuous progress of science and technology and the acceleration of urbanization, the application of security monitoring systems in public safety, commercial monitoring and home security has become increasingly important. However, the current traditional monitoring system has many limitations in terms of function and performance. The traditional monitoring system mainly relies on human monitoring, which is not only inefficient, but also prone to missing and false alarms. In addition, these systems often lack intelligent processing capabilities to identify and respond to potential threats in a timely and accurate manner. The intelligent video surveillance system uses advanced image processing and artificial intelligence technology to automatically analyze video content, detect and identify abnormal behavior in real time, and greatly improve the efficiency and security of monitoring. The advantage of intelligent video surveillance system is that it can provide automatic alarm and response functions, reduce human intervention, and improve the comprehensiveness and timeliness of security protection. The goal of this research is to further improve the security and monitoring efficiency through the application of intelligent video surveillance technology, and realize automatic alarm and response systems. The study will focus on the specific application of intelligent video surveillance in multiple application scenarios such as urban security, commercial surveillance, and home security, as well as the key components required by the system, including cameras, analysis servers, and user interfaces. Through the in-depth research and application of intelligent video surveillance technology, it is expected to provide more intelligent and efficient solutions for various security monitoring needs. © 2024 ieee.

关键词： Alarm systems

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