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检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

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computer Model of Indoor Environment Signature for Sensing TWR Applications

Computer Model of Indoor Environment Signature for Sensing T...

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Sciences and Techniques of Automatic control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Maraam R. Al-Jurnazi Adel S. Emhemmed Ahmed J. Abougarair Electrical and Electronics Engineering University of Tripoli Tripoli Libya

A portable handheld RADAR called through-wall radar (TWR) is utilized for the identification and localization of stationary and/or moving objects, particularly people concealed behind solid walls or obstacles. Applications in Homeland Security and Defense that are in need for through-wall detection of both live and non-living entities are suited for it. Techniques have been proposed for the determination of the radar cross section (RCS) of various types of targets. Depending on the target size and selected frequency range, RCS can be investigated in either an outdoor environment, indoor environment, or inside an anechoic chamber. This paper has attempted to analyze simple geometric objects and evaluate the effect of variables variation such as frequency and shaping effects on the generated radar cross section (RCS). Consequently, the established results led to the study and analysis of a much-complicated indoor environment containing five furniture pieces in a frequency range of 1-3 GHZ of the through the wall radar imaging (TWRI) range. The RCS evaluation is achieved using high frequency structure simulator (HFSS) tool. The targets to be measured are 3D modeled by computer Aided Design (CAD) firstly and then using Borohydride solution setup to illuminate the target in far-field conditions. The simulation results clearly show a substantial variation in scattering with azimuth, material, shaping and frequency factors. The goal is to achieve radar cross section estimation and differentiation of objects to design an ultrawideband (UWB) radar systems for indoor environment sensing and through-wall imaging.

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Minimizing control for Credit Assignment with Strong Feedback 39

Minimizing Control for Credit Assignment with Strong Feedbac...

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39th international conference on Machine Learning (ICML)

作者： Meulemans, Alexander Farinha, Matilde Tristany Cervera, Maria Sacramento, Joao Grewe, Benjamin F. Univ Zurich Inst Neuroinformat Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland

The success of deep learning ignited interest in whether the brain learns hierarchical representations using gradient-based learning. However, current biologically plausible methods for gradient-based credit assignment in deep neural networks need infinitesimally small feedback signals, which is problematic in biologically realistic noisy environments and at odds with experimental evidence in neuroscience showing that top-down feedback can significantly influence neural activity. Building upon deep feedback control (DFC), a recently proposed credit assignment method, we combine strong feedback influences on neural activity with gradient-based learning and show that this naturally leads to a novel view on neural network optimization. Instead of gradually changing the network weights towards configurations with low output loss, weight updates gradually minimize the amount of feedback required from a controller that drives the network to the supervised output label. Moreover, we show that the use of strong feedback in DFC allows learning forward and feedback connections simultaneously, using learning rules fully local in space and time. We complement our theoretical results with experiments on standard computer-vision benchmarks, showing competitive performance to backpropagation as well as robustness to noise. Overall, our work presents a fundamentally novel view of learning as control minimization, while sidestepping biologically unrealistic assumptions.

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Research on Improved Variable Range Tentacle-Based Maneuver Guidance Strategy

Research on Improved Variable Range Tentacle-Based Maneuver ...

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computer Communication and Artificial Intelligence (CCAI), international conference on

作者： Yichuan Zhu Ling Li Shaoqi He Rui Mu Haoyu Huang National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China Committee of Science and Technology National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China Software Laboratory Beijing Aerocim Technology Co. Beijing China

For the reentry gliding process of high-speed aircraft, the aircraft can fly by adjusting the angle of bank and angle of attack. However, in addition to considering the reentry constraints, the avoidance of the no-fly zone should also be considered during the flight. For the no-fly zone undiscovered before launch, the high-speed aircraft needs to plan its trajectory online, which puts forward high requirements for the rapidity and real-time of its planning speed. This paper proposes a maneuver strategy with variable tentacle detection range, which tests the actual flight process through tentacle detection, selects the optimal tentacle command to meet the flight requirements, and reduces the number of tentacles through different tentacle detection strategies, Reducing the impact of the integration process on computational efficiency improves the speed of trajectory planning. Typical examples are used for simulation, and the deflection of aerodynamic data is simulated by Monte Carlo simulation. The results show that this method can effectively avoid the no-fly zone, and can satisfy all constraints in the gliding process. The computing time is 57.7% shorter than the traditional tentacle-based method.

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A Novel Survey on Image Classification Models for Explainable Predictions using computer vision

A Novel Survey on Image Classification Models for Explainabl...

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Applied Artificial Intelligence and Computing (ICAAIC), international conference on

作者： Lakkuru Venkata Koushik Atla Vardhan Reddy KarnatiSai Rithvik Balguri Manish Rao Hari Kiran Vege Dinesh Kumar Anguraj Department of CSE Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

In the field of image classification, while algorithms perform well at recognizing objects, understanding their decision-making processes remains challenging and limiting the applicability in critical domains. This research study analyzes the evolution of image classification models aimed at bridging the gap between prediction and explanation. This research study evaluates various techniques, encompassing rule-based models, decision trees, and local approximation methods like LIME, which offer insights into the factors influencing the proposed model’s decision-making. Additionally, the saliency maps visually interpret image regions crucial for prediction comprehension. Nonetheless, the model development encounters challenges, requiring a balance between accuracy and interpretability, often necessitating trade-offs amidst complexity considerations.

关键词： Surveys Limiting Image recognition Computational modeling Decision making Learning (artificial intelligence) Predictive models

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Saliency detection method for probabilistic hypergraph ranking based on local features 3

Saliency detection method for probabilistic hypergraph ranki...

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3rd IEEE international conference on Frontiers Technology of Information and computer, ICFTIC 2021

作者： Gao, Fan Wang, Chaoyang Yang, Xiaogang Lu, Ruitao Liu, Chuang Zhang, Tao Rocket Force University of Engineering College of Missile Engineering Xi'an China Science and Technology on Electro-optic Control Laboratory Luoyang China

ISBN: (纸本)9781665406055

The saliency detection algorithm achieves object detection by acquiring salient regions in an image. We propose a saliency detection algorithm based on probabilistic hypergraph ranking of local features. Firstly, a probabilistic hypergraph structure based on spatial location is constructed based on the connectivity of background nodes, and the background saliency map is built using the ranking algorithm;Secondly, according to the clustering of foreground nodes, a probabilistic hypergraph based on feature clustering is constructed, and the foreground saliency map is realized using the ranking;Finally, the background and foreground saliency map are fused to obtain the saliency detection results. The simulation experiment results show that the detection accuracy of the algorithm we proposed is higher. © 2021 IEEE.

关键词： Object detection

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VR and Exoskeleton Assisted Lower Limb Rehabilitation based on Motor Imagery BCI 3

VR and Exoskeleton Assisted Lower Limb Rehabilitation based ...

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3rd IEEE international Biomedical Instrumentation and Technology conference, IBITeC 2023

作者： Su, Hao Wang, Su Huang, Mengjie Chen, Yuqing Lu, Annan Yang, Rui Xi'an Jiaotong-Liverpool University School of Advanced Technology Suzhou China Xi'an Jiaotong-Liverpool University Design School Suzhou China

ISBN: (纸本)9798350302424

Motor imagery (MI) enhances rehabilitation in brain-injured patients by leveraging neuroplasticity to rebuild neuron connections. Combining MI with exoskeleton robotics and virtual reality (VR) can further improve recovery outcomes. In this study, we integrated a lower limb exoskeleton robot (MAX-1), the Oculus Quest 2 VR headset, and an MI-BCI system. Patients, equipped with the exoskeleton and VR headset, undertake motor imagery tasks, resulting in the exoskeleton robot's movements guided by EEG signals from the Emotiv EPOC Flex headset. These EEG signals are processed and transformed into leg commands, with concurrent feedback provided in the VR environment. The research comprises three experiments: an offline experiment for primary data collection and training, a pseudo online experiment for simulating real-time processing, and an online serious game experiment to assess the system's real-world applicability. The offline experiment showed an EEGNet model accuracy of 85.2% for MI detection and 78.3% for classification. The pseudo online experiment achieved an accuracy of 67.2%, indicative of its potential in a real-time scenario. In the online serious game experiment, while participants were able to complete the game, challenges in game control were reported, underscoring areas for future enhancement. © 2023 IEEE.

关键词： Brain computer interface

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Research on Aircraft Automatic Drilling and Riveting Task Planning and Simulation Technology Based on DELMIA

Research on Aircraft Automatic Drilling and Riveting Task Pl...

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Automation, Robotics and computer Engineering (ICARCE), international conference on

作者： Tao Jin Chenyang Lin Jiancheng Shi Craft Department Southwest China Research Institute of Electronic Equipment Chengdu China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

Based on the application content, scope, and process of digital enterprise lean manufacturing interactive application (DELMIA), conduct research on aircraft automatic drilling and riveting task planning and simulation technology. Establish a process numerical model for the product, study the optimal path planning for the assembly process, achieve automatic planning of robot drilling and riveting tasks, and generate numerical control (NC) code for robot execution. Virtual simulation of robot automatic drilling and riveting tasks based on DELMIA, conducting assembly interference inspection, and achieving advance planning and simulation of production assembly tasks. Verify the effectiveness and accuracy of automatic drilling and riveting task planning and simulation methods through examples. The results indicate that the hole position error after processing is controlled within 0.3mm, which can meet the requirements of hole making.

关键词： Drilling Accuracy Process control Production Programming Software Planning Aircraft Robots Assembly

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control System and Experimental Study of Sewage Aeration Pipe Maintenance Robot

Control System and Experimental Study of Sewage Aeration Pip...

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international conference on Artificial Intelligence and computer Information Technology (AICIT)

作者： Likun Jiao Yanjun Liu Department of Mechanical Manufacturing and Automation Faculty of Mechanical Engineering Shandong University Jinan Shandong China

ISBN: (数字)9798350365443

ISBN: (纸本)9798350365450

Aeration tube is a kind of aeration equipment used for sewage treatment, and the aeration tube in the process of sewage aeration is prone to clogging, affecting the aeration effect. At present, often used in the form of artificial diving to replace the aeration tube, there is a high degree of danger, low efficiency and high cost problems, and there is no automated products in the industry. In this regard, a robot was designed for the replacement and maintenance of the aeration tube. Combined with the repeated positioning and clamping problems in the pipe replacement process, the positioning device and pipe replacement device were designed, and its working principle was described. The PID and fuzzy PID control models of fixed-depth motion and turning bow motion were established using MATLAB/Simulink, and the simulation verified the rapidity and stability of the fuzzy PID. The maintenance robot experimental bench was processed and built, and the feasibility of the pipe changing action was verified by conducting experiments according to the designed action flow.

关键词： PI control Service robots Sewage treatment Turning Stability analysis Maintenance PD control MATLAB Information technology Robots

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Architecture and Attacks in Software Defined Networking, and its Security Using Machine Learning

Architecture and Attacks in Software Defined Networking, and...

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Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： Bismi K Charleys D. Amuthaguka Department of Computer Applications Kalasalingam Academy of Research and Education Tamil Nadu India

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

Software Defined Networking (SDN) is a newly developed network that implements hardware components virtually. With SDN, control plane is separated from the underlying hardware and implemented in software. The control plane is called SDN controller which provides a centralized view and network management. By separating the control plane from data plane in SDN, communication management, control, updates, analysis, and understanding can be improved. SDN appears to be a more secure network design than traditional IP-based networks, but it still has significant adoption issues and is open to a variety of network breaches. It must be adequately safeguarded against security risks. This study provides a deep look into SDN architectures and discusses the principal difficulties that SDN architecture must overcome. Also covered various security concerns, such as threats and attacks which limit the development of SDN. This research study also discusses the relevance of machine learning algorithms for intrusion detection in SDN.

关键词： Sentiment analysis Machine learning algorithms computer architecture Telecommunication traffic Denial-of-service attack Hardware Software

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A Design Method of Visual Demonstration Software

A Design Method of Visual Demonstration Software

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Big Data, Information and computer Network (BDICN), international conference on

作者： Yong Sun Hao Zheng Jian Pan Jiangpeng Wu Guangzhao Lu Junsong Huang Guochuan Yin Xiaorang Liu China Research and Development Academy of Machinery Equipment Beijing China Xi'an Modern Control Technology Research Institute Xi'an China

ISBN: (数字)9798350363821

ISBN: (纸本)9798350374612

Visual scene is the foundational part of system confrontation and three-dimensional display, and its quality is directly related to the interaction degree between users and software. Aiming at the requirements of dynamic display and 3D special effects display in the process of 3D scene display, this paper proposes a visual demonstration software design method, including water system generation module, model dynamic destruction and damage module, lens special effects module and particle special effects module. The corresponding software is realized based on this method, which can be used in 3D modeling, scene construction and other fields.

关键词： Visualization Solid modeling Three-dimensional displays Software design Design methodology Computational modeling Big Data

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