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3D Reconstruction of mirror-like surfaces by smart deflectometry 15

3D Reconstruction of mirror-like surfaces by smart deflectom...

引用

15th international conference on Quality control by Artificial vision

作者： Poirier--Herbeck, Lisa Aubreton, Olivier Fofi, David Univ Bourgogne Franche Comte ImViA VIBOT EMR CNRS 6000 Bourgogne France

ISBN: (数字)9781510644274

ISBN: (纸本)9781510644274

Specular and mirror-like surfaces are difficult to reconstruct by the fact that light of the surrounding environment is reflected off the surface. Nowadays, it is still a challenge in many application fields to get a fast and accurate reconstruction of specular objects. 3D acquisition by deflectometry involves estimating the 3D profile of a specular surface by analyzing the image of a light source or a pattern captured by a camera after reflection on the surface. These techniques require the knowledge of the location and the orientation of the camera and the orientation of the light source. If camera calibration is a process widely known and controlled and guaranteeing good accuracy, estimating the orientation of the light source is still an issue. We propose to overcome it by using a light source whose the color changes according to the orientation. Indeed, we implement a vision system of light source's position recognition by the color in simulation with the 3D computer graphics software Blender, we define a calibration technique and we suggest some possible light sources to export our simulated vision system to reality. Plus, we explore the potential benefit of light field in order to model such a system.

关键词： deflectometry 3D reconstruction specular mirror-like

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Highway Traffic Flow control Model and Simulation Based on Fuzzy control

Highway Traffic Flow Control Model and Simulation Based on F...

引用

computer Science, Electronic Information Engineering and Intelligent control Technology (CEI), IEEE international conference on

作者： Binghua Nie Bin Ma Henan Ruisheng Intelligent Technology Co. Ltd Zhengzhou China School of Information Engineering North China University of Water Resources and Hydropower Zhengzhou China

ISBN: (数字)9798350372052

ISBN: (纸本)9798350372069

With the continuous expansion of the scale of highways, the growing contradiction between traffic demand and capacity has become an undeniable societal issue. Preventing congestion on highways and improving the efficiency of road usage has always been a focal point of research in the field of highway traffic control. In order to enhance the traffic operating environment, this paper establishes a traffic flow control simulation model and designs a fuzzy control algorithm to simulate the traffic flow state on highways. Subsequently, a comparative analysis is conducted on the traffic states under different strategies, including no-control, ALINEA control, and fuzzy control. To further demonstrate the effectiveness of fuzzy control, this paper relies on real data from the Xibao Expressway to simulate the traffic flow under fuzzy control. The results indicate that under equivalent conditions, the fuzzy control method can achieve superior performance.

关键词： Road transportation computer science Fuzzy control Electric potential Simulation Roads Traffic control

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BISRAC Banking Information Security Risk Assessment and Compliance Model 3

BISRAC Banking Information Security Risk Assessment and Comp...

引用

3rd international conference on Advances in Computing, Communication control and Networking, ICAC3N 2021

作者： Gupta, Ankita Sharma, Vishnu Pragya Srivastava, Ritesh Punjabi University Department of Computer Science and Engineering Punjab Patiala India Galgotia's College of Engineering and Technology Department of Computer Science and Engineering Greater Noida India KIET Group of Institutions Department of Information Technology Ghaziabad India

ISBN: (纸本)9781665438117

Technological innovations have improved bank's capabilities, by enhancing many of their customer-facing, frontend operations with digital solutions. Increased adoption of information technology applications by Indian banks leads to automation of various banking services which, in turn acts as effective way to reduce the cost incurred and time requirement for financial deployment. In this paper, a tool "BISCRAC"has been specifically developed for Indian banks which can aid banks in performing information security risk assessment and check compliance against information security best practices as per RBI guidelines. "BISRAC"has been deployed in real-time and mandates the banks to prepare their incident reporting database which is further used by the tool to calculate information security risks. The results in turn help banks to assess their current information security posture and associated risks. Failure Mode Effect Analysis (FMEA) model has been customized for banks and is used as a pedestal model for performing risk assessment by generating Risk Priority Numbers (RPN). The proposed model has been tested across three nationalized banks. Even though banks have implemented technical and operational controls, but still there is a lack of awareness about information security risks and compliance to RBI guidelines. "BISRAC"can be used iteratively in banks to aid them to assess current information security posture, adopt measures to neutralize or reduce associated risk and again measure the enhanced security posture both quantitatively as well as qualitatively. © 2021 IEEE.

关键词： Security of data

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Resilient 3D Object Recognition using GR-Net in Sparse Point Clouds

Resilient 3D Object Recognition using GR-Net in Sparse Point...

引用

international Symposium on Advanced Computing and Communication (ISACC)

作者： Premanand Ghadekar Pratik Dhame Soham Dixit Arpit Patil Rushikesh Sanjekar Siddhesh Shinde Department of Information Technology Vishwakarma Institute of Technology Pune Maharashtra India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Recognizing three-dimensional (3 Dimensonal) objects is crucial for several uses for computer vision like service robots, self-driving cars and surveillance drones to navigate effectively in complex environments. However, existing classification techniques struggle with challenges such as varying resolutions, noisy data, and diverse object poses. Previous studies have highlighted the limitations of point cloud-based methods in handling sparsity, rotation, and positional variance. In this study, we concurrently address these difficulties with a unique technique to 3D object categorization. Our method leverages the graph structure of point clouds and employs a to develop a strong latent representation of 3D objects using a neural network. This representation achieves invariance to rotation, positional shift, and scaling while remaining resilient to point sparsity. Our technique outperforms existing approaches, as evidenced by experimental findings on the ModelNet40 dataset, which show a 45.0% and 38.1% gain in classification accuracy when employing sparse point clouds, respectively, over existing models.

关键词： Point cloud compression Training Technological innovation Solid modeling Three-dimensional displays Service robots Surveillance Feature extraction Robustness Object recognition

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Generative AI-assisted Standalone Wearable Reading Glasses for the Visually Impaired

Generative AI-assisted Standalone Wearable Reading Glasses f...

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Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Md. Repon Islam Muhammad Sheikh Sadi Department of Computer Science and Engineering Khulna University of Engineering & Technology Khulna Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

This paper presents a novel, low-cost, wearable Optical Character Recognition (OCR) reading assistant glasses designed for the low-vision and visually impaired community. This standalone system uses a Radxa Zero 3W single board computer and a 5MP RGB camera. PaddleOCR engine, optimized through a series of preprocessing and postprocessing algorithms, used for effective text recognition. A finetuned lightweight 0.5B Large Language Model deployed on-device as a Generative AI chat assistant (Ask-LLM) to respond to the user query with full privacy. To convert the generated response into speech, the Festival Text-to-Speech (TTS) engine has been used. Also, Whisper CT2 Automatic Speech Recognition (ASR) has been utilized for effective and real-time voice transcription. The system recognizes English text with character recognition accuracy of 95.25% and Ask-LLM generates responses at 2~4 tokens/second. The hardware cost of the whole system is only $50 while works completely offline utilizing cutting-edge technologies. This paper contributes to the field of assistive technology by showcasing how carefully selected off-the-shelf components and open-source software can be engineered into a powerful, affordable, and practical solution.

关键词： Costs Accuracy Optical character recognition Glass Assistive technologies Hardware Text to speech Character recognition Open source software Engines

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A Novel Trajectory Tracking controller for UAV with Uncertainty Based on RBF and Prescribed Performance Function 3rd

A Novel Trajectory Tracking Controller for UAV with Uncert...

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3rd international conference on Neural Computing for Advanced Applications, NCAA 2022

作者： Qi, Xuelei Li, Chen Ma, Hongjun College of Information Science and Engineering Northeastern University Shenyang110819 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong Guangzhou China

ISBN: (纸本)9789811961410

This paper proposes a novel trajectory tracking controller based on RBF neural network and fractional-order sliding mode control (FO-SMC). First, the prescribed performance control (PPC) is introduced into the system to make the tracking error converge to the predefined set. Then, the fractional-order calculus is introduced into SMC to alleviate the chattering of the system. Considering that RBF neural network can compensate for the uncertainty of the UAV motion model, RBF is introduced into the design of the controller. Besides, the Lyapunov theorem proves the stability of the system, and all signals in the closed-loop system are stable. Finally, a case study is carried out through simulation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Co-Designing Body and Behavior via Planning-based Hierarchical Grammatical Evolution

Co-Designing Body and Behavior via Planning-based Hierarchic...

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Robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Xinglin Chen Da Huang Minglong Li Yishuai Cai Zhongxuan Cai Wenjing Yang College of Computer Science and Technology National University of Defense Technology Changsha China

An agent’s intelligence tends to benefit from the co-adaption between the body morphology and the behavior policy, aka. embodied intelligence. To create an embodied agent, the joint optimization of the body and the behavior becomes the key problem. To solve that, a popular approach is to use search-based or learning-based heuristics to traverse the morphological space, and optimize a behavior policy for each morphology to evaluate their joint fitness. However, prior works often ignore the relations between body components and modular behaviors, e.g. a mechanical foot can be used to walk, run, kick, etc. To reduce the complexity for embodied intelligence, we come up with a natural idea, that is, to build a mapping from the componentized body to modular behaviors at a lifted abstraction. Based on that mapping, we propose a novel evolutionary computing framework called Hierarchical Grammatical Evolution (HGE). We use the Backus-Naur Form (BNF) to abstract both the body and the behavior space in a modular way, where Behavior Tree (BT) is used to model the behavior policy. Specifically, we leverage the planning-based BT expansion method for further improving the efficacy and efficiency of HGE. Experiments are conducted in a house cleaning scenario and computational test sets, where the results validate the feasibility and scalability of HGE compared with the state of the arts.

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Life Prediction Method of Intelligent Ammeter Based on Transfer Learning

Life Prediction Method of Intelligent Ammeter Based on Trans...

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Electrical Engineering and control Science (IC2ECS), international conference on

作者： Zhongshi Xie Ling Ye Minxi Yan Yanling Pan Huizhou Li College of Computer and Information Hohai University Nanjing Jiangsu China The 28th Research Institute of China Electronics Technology Group Corporation Nanjing Jiangsu China

Smart meters support the construction of smart grids, which have characteristics of large installation volume and wide distribution. The prediction of smart meters' life can be more effective for life management, but the existing methods for life prediction mainly rely on data analysis, of which the efficiency and accuracy are limited. In order to improve the smart meter life prediction model, this paper proposes a method of smart meter life prediction based on migration learning. Firstly, the method of domain adaption is used to reduce the difference between the domain distribution of the features of the labeled and unlabeled samples, alleviating the overfitting problem, and narrowing the difference between the domain distribution of the training set and the test set. Then, based on the idea of feature generation and Weibull distribution, features that are more closely related to the label are generated. Finally, a task-appropriate loss function is designed to guide the model training better, and a survival risk loss is proposed to enable the model to obtain a better performance in predicting the risk of life outcome calculation. The experimental results show that the proposed model achieves a prediction accuracy of 93.13%, which means this method can effectively predict the lifetime of smart meters.

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Design of Basketball Shot Track Recognition System Based on Machine vision 3rd

Design of Basketball Shot Track Recognition System Based on ...

引用

3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

作者： Chen, Chonggao Tang, Wei Huali College Guangdong University of Technology Guangzhou511325 China

ISBN: (纸本)9783030825645

Aiming at the positioning of the existing shooting track, which leads to the deviation of basketball shooting track, in order to maintain the basketball shooting track accurately, a basketball shooting track recognition system based on machine vision is designed. The ARM processor is used as the core application terminal of the identification component, and the high-precision orientation module and power supply conversion module are combined to build the hardware environment. Based on this, a machine vision technology model is established. Through defining the format of machine datagram, the subprogram of tilt angle sensor is optimized, and the software execution environment is realized. Experimental results show that, compared with the traditional recognition system, the physical distance between the starting position and the terminating position of the shot is greatly reduced, which can effectively solve the problem of basketball trajectory deviation caused by inaccurate shooting and meet the practical application requirements of precise maintenance of basketball trajectory. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： computer vision

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Modular software for real-time quantum control systems 3

Modular software for real-time quantum control systems

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3rd IEEE international conference on Quantum Computing and Engineering (QCE)

作者： Riesebos, Leon Bondurant, Brad Whitlow, Jacob Kim, Junki Kuzyk, Mark Chen, Tianyi Phiri, Samuel Wang, Ye Fang, Chao Van Horn, Andrew Kim, Jungsang Brown, Kenneth R. Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA Sungkyunkwan Univ SKKU Adv Inst Nanotechnol SAINT Suwon 16419 South Korea Sungkyunkwan Univ Dept Nanoengn Suwon 16419 South Korea Duke Univ Dept Phys Durham NC 27708 USA

ISBN: (数字)9781665491136

ISBN: (纸本)9781665491136

Real-time control software and hardware is essential for operating quantum computers. In particular, the software plays a crucial role in bridging the gap between quantum programs and the quantum system. Unfortunately, current control software is often optimized for a specific system at the cost of flexibility and portability. We propose a systematic design strategy for modular real-time quantum control software and demonstrate that modular control software can reduce the execution time overhead of kernels by 633% on average while not increasing the binary size. Our analysis shows that modular control software for two distinctly different systems can share between 49.8% and 91.0% of covered code statements. To demonstrate the modularity and portability of our software architecture, we run a portable randomized benchmarking experiment on two different ion-trap quantum systems.

关键词： real-time control systems modular software software portability quantum computing

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