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检索条件"任意字段=Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition"

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An AM Super Heterodyne Receiver for Wide-Input Weak Signals at 200 MHz-400 MHz 11

An AM Super Heterodyne Receiver for Wide-Input Weak Signals ...

引用

2017 11th IEEE international conference on Anti-counterfeiting,Security,and Identification(ASID)

作者： Lvqing Bi Zhixun Liang Huaguang Yang Donghui Guo School of Information Science and Engineering Xiamen University School of Electronic and Communication Engineering Yulin Normal University Intelligent Computing and Pattern Recognition Hechi University

ISBN: (纸本)9781538605349;9781538605332

Superheterodyne receiver is a practical radio receiver with long history. It is widely used in broadcasting, radio communication, etc. However, when the incoming signal is a weak signal in a large variation range, the traditional superheterodyne receiver using discrete amplifier, non-linear mixer and envelope detector has the disadvantages of low signal-to-noise ratio(SNR), poor sensitivity, and high distortion. In this paper, we propose a novel superheterodyne receiver, consisting of two-stage integrated low noise amplifier(LNA), 7-order band-pass filter(BPF), automatic gain circuit(AGC), integrated mixer, synchronous detector and baseband amplifier. It can high-quality demodulate AM signals with the amplitude of 10 uv to 1 m V, message signal frequency of 300 Hz-5 k Hz, and carrier frequency of 200 MHz-400 MHz. In addition, this receiver also realizes the automatic tracking of carrier by adding power detection and microcontroller Unit(MCU)modules.

关键词： Superheterodyne receiver Synchronous detector Power detection Weak signals Wide-input

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Design and Research of Metal Surface Defect Detection Based on Machine Vision 11

Design and Research of Metal Surface Defect Detection Based ...

引用

11th international conference of Information and Communication Technology, ICTech 2022

作者： Shao, Xianxin Xia, XiaoJun Song, Jia Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

To address the problems of low accuracy and inaccurate classification of surface defects detection that occur on metallic steel, this paper proposes a method to improve the accuracy of surface defect detection by adjusting the network structure of the YOLOv3 algorithm model[1]. First, the k-means++ algorithm is used for clustering to improve the matching of prior frames of different scales and feature layers by increasing the scale difference of prior frames. Secondly, the algorithm improves the recognition rate of small defective targets by adding 104×104 feature layers. Finally, the spatial pyramid pooling module is added to improve the recognition accuracy of target features after extracting feature layers of different scales from the backbone feature network. the experimental results show that the improved YOLOv3 algorithm model achieves an average accuracy of 76% on the test set and is 9% better than the original YOLOv3 algorithm than Faster-R-CNN1 in terms of detection performance. © 2022 IEEE.

关键词： Computer vision

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Image pattern recognition using near sets

Image pattern recognition using near sets

引用

11th international conference on Rough Sets, Fuzzy Sets, Data Mining and Granular computing (RSFDGrC 2007)

作者： Henry, Christopher Peters, James F. Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 5V6 Canada

ISBN: (纸本)9783540725299

the problem considered in this paper is how to recognize similar objects based on the detection of patterns in pairs of images. this article introduces a new form of classifier based on approximation spaces in the context of near sets for use in pattern recognition. By way of introducing the basic approach;nonlinear diffusion is used for edge detection and object contour extraction. this form of image transformation makes it possible to compare the contours of objects in pairs of images. Once the contour of an image has been identified, it is then possible to construct approximation spaces based on vectors of probe function measurements associated with selected image features. In this article, the only feature considered is contour, which leads to many contour probe functions. the contribution of this article is a new form of classifier, based on approximation spaces, for use in image pattern recognition.

关键词： approximation space image feature extraction near sets nonlinear diffusion pattern recognition rough sets

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An Efficient Simulated Annealing-based Task Scheduling Technique for Task Offloading in a Mobile Edge Architecture 11

An Efficient Simulated Annealing-based Task Scheduling Techn...

引用

11th IEEE international conference on Cloud Networking (CloudNet)

作者： Mahjoubi, Ayeh Grinnemo, Karl-Johan Taheri, Javid Karlstad Univ Dept Math & Comp Sci Karlstad Sweden

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

the Internet of things (IoT) has emerged as a fundamental cornerstone in the digitalization of industry and society. Still, IoT devices' limited processing and memory capacities pose a problem for conducting complex and time-sensitive computations such as AI-based shop floor monitoring or personalized health tracking on these devices, and offloading to the cloud is not an option due to excessive delays. Edge computing has recently appeared to address the requirements of these IoT applications. this paper formulates the scheduling of tasks between IoT devices, edge servers, and the cloud in a three-layer Mobile Edge computing (MEC) architecture as a Mixed-Integer Linear Programming (MILP) problem. the paper proposes a simulated annealing-based task scheduling technique and demonstrates that it schedules tasks almost as time-efficient as if the MILP problem had been solved with a mixed integer programming optimization package;however, at a fraction of the cost in terms of CPU, memory, and network resources. Also, the paper demonstrates that the proposed task scheduling technique compares favorably in terms of efficiency, resource consumption, and timeliness with previously proposed techniques based on heuristics, including genetic programming.

关键词： Task offloading Task scheduling Edge/Cloud computing Simulated annealing Time sensitivity

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MORA on the Edge: a testbed of Multiple Option Resource Allocation 11

MORA on the Edge: a testbed of Multiple Option Resource Allo...

引用

11th IEEE international conference on Cloud Networking (CloudNet)

作者： Ouedraogo, Wendlasida Di Stefano, Alessandro Araldo, Andrea Di Stefano, Antonella Inst Polytech Paris Telecom SudParis Palaiseau France Univ Catania Dept Elect Elect & Informat Engn Catania Italy

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

In this paper, we present an implementation of the concept of Multiple Option Resource Allocation (MORA) in the context of Multitenant Edge computing. We assume a Network Operator (NO) owns computational resources on the edge, e.g., storage and CPU co-located with a mobile base station, and opens them to 3rd party Service Providers (SPs), which in this work are video streaming services. Each SP is fully containerized in Kubernetes pods. Following MORA concept, in order to cope with the limited resources on the edge, we assume that each SP can run under different configurations, consuming more or less amount of resources, so as to adapt to the actual resource availability. therefore, the NO can choose the best configuration per each SP, in order to optimize some NO's related performance (the upstream traffic, in our case). We implement a test-bed showcasing such a system and we measure its performance. All the code is released as open source [1].

关键词： Edge computing Multitenant Content Delivery

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Invariance in motion analysis of videos

Invariance in motion analysis of videos

引用

2003 Multimedia conference - proceedings of the 11th ACM international conference on Multimedia, MM'03

作者： Rao, Cen Shah, Mubarak Syeda-Mahmood, Tanveer Computer Vision Lab. University of Central Florida United States IBM Almaden Research Center United States

In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. the motion is represented as a sequence of dynamic instants and intervals, which are automatically computed using the spatiotemporal curvature of the trajectory of moving object in the videos. Dynamic Time Warping (DTW) method matches trajectories using a view invariant similarity measure. Our system is able to incrementally learn different actions without any initialization mode, therefore it can work in an unsupervised manner. the retrieval of relevant videos can be easily performed by computing a simple distance metric. this paper makes two fundamental contribution to view invariant video retrieval: (1) Dynamic Instant detection in trajectories of moving objects acquired from video. (2) View-invariant Dynamic Time Warping to measure similarity between two trajectories of actions performed by different persons and from different viewpoints. Although the learning algorithm is relatively simple in our approach, we can achieve high recognition rate because of the view-invariant representation and the similarity measure using DTW.

关键词： pattern recognition

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11th international conference on Cloud computing and Services Science, CLOSER 2021

11th International Conference on Cloud Computing and Service...

引用

11th international conference on Cloud computing and Services Science, CLOSER 2021

ISBN: (纸本)9783031216367

the proceedings contain 5 papers. the special focus in this conference is on Cloud computing and Services Science. the topics include: Risk Analysis Automation Process in IT Security for Cloud Applications;AI Quality Engineering for Machine Learning Based IoT Data Processing;quality of Service Support through a Self-adaptive System in Edge computing Environments.

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Classification of Body Regions Based on MRI Log Files 10th

Classification of Body Regions Based on MRI Log Files

引用

10th international conference on Computer recognition Systems (CORES)

作者： Kuhnert, Nadine Lindenmayr, Oliver Maier, Andreas FAU Erlangen Nuremberg Pattern Recognit Lab Erlangen Germany Siemens Healthcare GmbH Erlangen Germany

ISBN: (纸本)9783319591629

Every Siemens Magnetic Resonance Imaging (MRI) system consistently writes events into log files while the system is running. the log files and their contents are constantly refined by software developers. this results in different information contents depending on the software version. One information that is missing in some log files is the examined body region. As the body region is crucial for usage analysis, we used pattern recognition methods to estimate the examined body region for software versions not logging it automatically. We learned the examined body region from a set of used MRI acquisition parameters such as grid and voxel size and could classify body region information with a classification rate up to 94.7%. We compared Bayesian Network augmented Naive Bayes, Decision Trees, and Neural Networks, and found Neural Networks resulting in the best classification rate.

关键词： Classification Data mining pattern recognition Log file analysis System usage

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Facial Expression recognition Based on Hybrid Approach 11th

Facial Expression Recognition Based on Hybrid Approach

引用

11th international conference on Intelligent computing (ICIC)

作者： Mannan, Md Abdul Lam, Antony Kobayashi, Yoshinori Kuno, Yoshinori Saitama Univ Grad Sch Sci & Engn Saitama 3388570 Japan Japan Sci & Technol Agcy JST PRESTO Kawaguchi Saitama Japan

ISBN: (纸本)9783319220536;9783319220529

this paper proposes an automatic system for facial expression recognition using a hybrid approach in the feature extraction phase (appearance and geometric). Appearance features are extracted as Local Directional Number (LDN) descriptors while facial landmark points and their displacements are considered as geometric features. Expression recognition is performed using multiple SVMs and decision level fusion. the proposed method was tested on the Extended Cohn-Kanade (CK+) database and obtained an overall 96.36 % recognition rate which outperformed the other state-of-the-art methods for facial expression recognition.

关键词： Facial expression recognition Directional number pattern Feature Image descriptor Local pattern

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Investigating the Role of Image Processing to Identify pattern for Industrial Automation 11

Investigating the Role of Image Processing to Identify Patte...

引用

11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Kaur, Gagandeep Balu, Vincent Chandigarh School of Business Department of Master of Computer Application Jhanjeri India Sanskriti University Department of Mechanical Engineering Uttar Pradesh Mathura India

ISBN: (纸本)9781665487320

In situations when both the output and the result are graphical, classification is used. the science's name was decided upon because of its concentration on image analysis. Imaging, satellite data, contrasts amplification, and voice signal production all could be done on the architecture here. A image or video cannot be recognized until a certain component or feature is found. In order to spot patterns, Cad system is used in this study. An area of study was the function of image processing in quality assurance. Even at high speeds., excellent ray tracing enables faultless record. Corporate machine learning is often used in process automation. Computer tech vision equipment includes things like camera-activating displays and movable video recorded tracks. © 2022 IEEE.

关键词： Image recognition

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