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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

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A Facial Expression recognition System for Smart Learning Based on YOLO and Vision Transformer 2021

A Facial Expression Recognition System for Smart Learning Ba...

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7th international conference on computing and Artificial Intelligence, ICCAI 2021

作者： Ling, Xufeng Liang, Jingxin Wang, Dong Yang, Jie Shanghai Normal University Tianhua College Ai School No. 1661 North Sheng Xin Road China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

ISBN: (纸本)9781450389501

this paper proposes a facial expression recognition system for smart learning on classroom. Firstly, YOLO is used to extract face images of multiple students from high-resolution video;secondly, face images are preprocessed, then a self-attention based model named Vision Transformer (ViT) is used to recognize facial expressions;finally, the classified facial expression is used to assist teacher to analyze students' learning status, so as to provide suggestions for improving teaching effect. © 2021 ACM.

关键词： Students

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Quantum Based Deep Learning Models for pattern recognition 6th

Quantum Based Deep Learning Models for Pattern Recognition

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6th international conference on Information, Communication and computing Technology (ICICCT)

作者： Shrivastava, Prakhar Soni, Kapil Kumar Rasool, Akhtar MANIT Dept Comp Sci Engn Bhopal Madhya Pradesh India

ISBN: (纸本)9783030883782;9783030883775

the machine learning model influences the pattern recognition based on extraction of relative patterns, but not enough capable of efficiently processing the data set that needs layered interaction. So, deep learning model takes the advantage of artificial neural network for processing the data in layered abstraction by exploring massive parallelism, although the classical implementations of such model may not be competent due to the processing and storage of large neural networks. Current research explores quantum computation potentials and utilizes its significance for supporting inherent parallelism, as the machine perform exponential operations in single step of execution. the possible classical designs of pattern recognition using deep learning are Hopfield network and Boltzmann machine and their equivalent quantum models can remain effective and overcome the processing limitations of classical model by incorporating Grover's search method and quantum Hebbian learning. the aim of writing this article is to introduce the necessity of deep learning model, an emergence of quantum computations, discussion over requisites of data preprocessing techniques, then to propose the classical equivalent quantum deep learning model along with the algorithms, complexity comparison and speedup analysis followed by conclusive aspects that proves effectiveness of quantum deep learning model and future works.

关键词： Quantum pattern recognition Machine learning Deep learning Grover's search Neural networks Superposition Quantum Hebbian learning

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Proceedings - 2017 IEEE international conference on Internet of things, IEEE Green computing and Communications, IEEE Cyber, Physical and Social computing, IEEE Smart Data, ithings-GreenCom-CPSCom-SmartData 2017

Proceedings - 2017 IEEE International Conference on Internet...

引用

Joint 10th IEEE international conference on Internet of things, ithings 2017, 13th IEEE international conference on Green computing and Communications, GreenCom 2017, 10th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2017 and the 3rd IEEE international conference on Smart Data, Smart Data 2017

ISBN: (纸本)9781538630655

the proceedings contain 210 papers. the topics discussed include: the impacts of information on stock prices assessed by social media sentiment;empirical analysis on temporal statistics of pairwise contact patterns in dynamic human networks;collective human mobility patterns: a case study using data usage detail records;a novel cyber network fault diagnosis scheme for cyber-physical systems;multiresolution organization of social media users' profiles: fast detection and efficient transmission of characteristic profiles;faith in vehicles: a set of evaluation criteria for trust management in vehicular ad-hoc network;energy efficiency and achievable data rate of device-to-device communications in cellular networks;spatiotemporal traffic modeling based on frequent pattern mining in wireless cellular network;and who opened the room? device-free person identification using bluetooth signals in door access.

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Analysis of Eye Fixations During Emotion recognition in Talking Faces 9

Analysis of Eye Fixations During Emotion Recognition in Talk...

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9th international conference on Affective computing and Intelligent Interaction (ACII)

作者： Cao, Houwei Elliott, Forest New York Inst Technol Dept Comp Sci New York NY 10023 USA Oberlin Coll Dept Comp Sci Oberlin OH 44074 USA

ISBN: (纸本)9781665400190

Research on emotion recognition from cues expressed in facial expression has a long-standing tradition. In this study, we investigate human's visual attention and fixation patterns when identifying six basic emotions on expressive talking faces. Stimuli for the current experiments consisted of 92 video clips of facial expression during talking. the whole experiments were divided into two sessions. the video stimuli in the first session were presented in random order across different face identities, while in the second session the video from the same face identity were be played sequentially. the participants' eye movements were recorded by the Tobii X3-120 screen-based eye-tracking system. We defined a set of area-of-interest (AOI) regions, including 4 AOIs of general face areas and 12 AOIs related to specific Action Units (AUs) involved in the coding of the six basic emotions. the gaze pattern analysis was done by looking at the fixation time on this predetermined set of AOIs. Based on the ANOVA analysis, we did not find significant differences in mean fixation time on any AOI for discriminating the six basic emotions, but a subset of significant AOIs was found when we sectioned the six basic emotions into positive, negative, and neutral. Next, we propose to develop a novel emotion perception classifier which can automatically classify an observer's emotion perception based on her gaze patterns and fixation sequence when identifying the basic emotions on expressive talking faces. the fixation time on the 16 predetermined AOIs were used as features to train support vector machine (SVM) models. the proposed models achieved the overall classification accuracy of 84.1% on recognizing 3-way emotions of negative, positive and neutral, suggesting that the proposed eye gaze patterns - the fixation time on 16 predetermined AOIs, are very promising for automatic classification of the perceived emotions. Finally, we divided the data into different gender and race groups, and

关键词： eye fixation emotional face gaze pattern emotion recognition gaze diversity

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A primitive solution to avoid data deduplication in cloud and overcome security threats 10

A primitive solution to avoid data deduplication in cloud an...

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10th IEEE international conference on Communication Systems and Network Technologies, CSNT 2021

作者： Jinila, Y. Bevish Jose, Jithina Vimali, J.S. Ajitha, P. Gowri, S. Sivasangari School of Computing Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9780738105239

In the recent era, a large number of private and corporate users redistribute the data to the cloud providers. In this extremely large amount of data, there exists large amount of copies of repeated duplicate data. the term data duplication is nothing but compressed repeated data. In the existing system, the process of access control is implemented along with data deduplication which can be done on encrypted data as well. In the proposed system, the user will upload the files to the cloud and it will get changed into an encrypted format by the process of hashing which is done by using SHA-256 algorithm. Based on the existence of the file on the cloud server the user may upload or download the same. In addition, DDoS attack detection and implementation of two types of attacks, collusion attack and sybil attack detection for user identity is addressed. Experimental analysis shows that the storage utilization can be maximized and the efficiency and security of cloud server is improved. © 2021 IEEE.

关键词： Cloud storage

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Design and implementation of neural network computing framework on Zynq SoC embedded platform 10

Design and implementation of neural network computing framew...

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10th Annual international conference of Information and Communication Technology (ICICT)

作者： Li, Xingying Yin, Zhenyu Xu, Fulong Zhang, Feiqing Xu, Guangyuan Chinese Acad Sci Shenyang Inst Comp Technol Shenyang Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

Limited resources and low computing power of embedded platform make it difficult to apply neural network technology. To overcome this problem, a new neural network computing framework "Zynq-Darknet" was proposed. the framework is based on Darknet, which constructs depthwise separable convolution and a lightweight classification model MobileNetV2 and was deployed to Xilinx Zynq-7000 System-on-Chip (SoC) with Linux operating system (OS). In order to verify the performance of the framework and model, experiments were conducted on imagenet- 1k dataset using different network structures. the results show that the MobileNetV2 network model based on Zynq-Darknet can effectively perform image classification, and ensure a certain real-time and accuracy while reducing the computational complexity and storage overhead, assuming promising application prospects. (C) 2021 the Authors. Published by Elsevier B.V.

关键词： Neural network embedded platform Zynq SoC darknet depthwise separable convolution MobileNetV2

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Graph pattern Matching: A Brief Survey of Challenges and Research Directions 3

Graph Pattern Matching: A Brief Survey of Challenges and Res...

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3rd international conference on computing for Sustainable Global Development (INDIACom)

作者： Singh, Komal Singh, Vikram Natl Inst Technol Kurukshetra Haryana India

ISBN: (纸本)9789380544199

Due to tremendous intensification of Internet, most of the data is archived and analyzed in graph-structured database. Graph Database is a collection of operational data objects, mapped into huge labeled graph or a set of labeled directed graphs. In recent years, modeling data in graph structure becomes evident and effective for processing in some of the prominent application area like social analytics etc. Graph databases are mapped into data graphs for further computing or processing. Graphs are one of the dominant data modeling tool used in many application areas. Hence, there is a demand for proficient querying techniques on such large data graphs. the user query is mapped into pattern graph, which is constructed by connecting nodes based on links/relationships required by user. the primary objective of graph pattern matching (GPM) is to determine all the candidates matching to a pattern query in a large data graph. this survey paper discusses various graph pattern matching approaches, used by researchers in recent year for query processing. Further, we also highlight the various challenges imposed by modern day computing and possible future research directions in query processing using graph pattern matching.

关键词： Big Data Analytics Graph Data Graph pattern Matching Graph Mining Query Processing

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Estimating Wind Power Plant Outputs in Transmission System Planning Studies Based on Probability Approaches 10

Estimating Wind Power Plant Outputs in Transmission System P...

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10th IEEE international conference on Renewable Energy Research and Applications (ICRERA)

作者： Ova, Ahmet Demirbas, Sevki Turkish Elect Transmiss Corp Ankara Turkey Gazi Univ Ankara Turkey

ISBN: (纸本)9781665445245

In this study, the hourly power output of Wind Power Plants (WPP) to be used as input in long term Transmission System Planning (TSP) has been examined. In this context, Weibull Distribution approach, which is one of the probabilistic approaches generally used in the wind speed analysis, is used. Using historical hourly wind speed data;average wind speed, most probable wind speed, maximum wind speed, probability density function, cumulative distribution function, power density and wind power output for the Nordex N60 model are obtained for each hour of the planning period. Maximum Likelihood Method(MLM) and Energy pattern Factor Method(EPFM) are used to obtain the parameters (Weibull Shape Factor, K and Weibull Scale Factor, C) belonging to the Weibull Distribution. In addition, the Root Mean Square Error (RMSE),one of the error analysis method, error analysis is done to find out which of the Weibull parameters' calculated methods will be suitable for the wind speed analysis.

关键词： Transmission System Planning Wind Speed Analysis Probabilistic Approach Weibull Distribution Maximum Likehood Method Energy pattern Factor Method

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Adversarial Synthesis of Human Pose from Text 1

引用

42nd German conference on pattern recognition, DAGM GCPR 2020 held in parallel with 25th international Symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual computing for Biology and Medicine, VCBM 2020

作者： Zhang, Yifei Briq, Rania Tanke, Julian Gall, Juergen Computer Vision Group University of Bonn Bonn Germany Bonn-Aachen International Center for Information Technology RWTH-Aachen University Bonn Germany

ISBN: (数字)9783030712785

ISBN: (纸本)9783030712778

this work focuses on synthesizing human poses from human-level text descriptions. We propose a model that is based on a conditional generative adversarial network. It is designed to generate 2D human poses conditioned on human-written text descriptions. the model is trained and evaluated using the COCO dataset, which consists of images capturing complex everyday scenes with various human poses. We show through qualitative and quantitative results that the model is capable of synthesizing plausible poses matching the given text, indicating that it is possible to generate poses that are consistent with the given semantic features, especially for actions with distinctive poses. © 2021, Springer Nature Switzerland AG.

关键词： Generative adversarial networks

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A Global Orchestration Matching Framework for Energy-Efficient Multi-Access Edge computing 10

A Global Orchestration Matching Framework for Energy-Efficie...

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10th IEEE international conference on Cloud Networking (IEEE CloudNet)

作者： Mahn, Tobias Klein, Anja Tech Univ Darmstadt Commun Engn Lab Darmstadt Germany

ISBN: (纸本)9781665435383

Multi-access edge computing (MEC) enables mobile units (MUs) to offload computation tasks to edge servers nearby. this translates in energy savings for the MUs, but creates a joint problem of offloading decision making and allocation of the shared communication and computation resources. In a MEC scenario with multiple MUs, multiple access points and multiple cloudlets the complexity of this joint problem grows rapidly with the number of entities in the network. the complexity increases even further when some MUs have a higher incentive to offload tasks due to a low battery level and are willing to pay in exchange for more resources. Our proposed energy-minimization approach with a flexible maximum offloading time constraint is based on matching theory. A global orchestrator (GO) collects all the system state information and coordinates the offloading preferences of the MUs. A MU can lower the maximum time constraint by a payment. the GO allocates the shared communication and computation resources accordingly to satisfy the time constraint. the computation load of the algorithm at each MU is reduced to a minimum as each MU only has to take a simple offloading decision based on its task properties and payment willingness. In numerical simulations, the proposed matching approach and flexible resource allocation scheme is tested for fast and reliable convergence, even in large networks with hundreds of MUs. Furthermore, the matching algorithm, tested with different resource allocation strategies, shows a significant improvement in terms of energy-efficiency over the considered reference schemes.

关键词： Multi-access edge computing Decision making Numerical simulation Energy efficiency Complexity theory Batteries Resource management

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