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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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12th international conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2016

12th International Conference on Intelligent Information Hid...

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12th international conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2016

ISBN: (纸本)9783319502113

the proceedings contain 44 papers. the special focus in this conference is on Image, Video Signal Processing, Multisignal Processing Techniques, Hardware Design, Assisting Systems, Evolutionary computing and Its Applications. the topics include: the election of spectrum bands in hyper-spectral image classification;evaluating a virtual collaborative environment for interactive distance teaching and learning;the linear transformation image enhancement algorithm based on HSV color space;silhouette imaging for smart fence applications with ZigBee sensors;gender recognition using local block difference pattern;DBN-based classification of spatial-spectral hyperspectral data;multiple kernel-learning based hyperspectral data classification;forensics of operation history including image blurring and noise addition based on joint features;an improvement image subjective quality evaluation model based on just noticeable difference;more efficient algorithm to mine high average-utility patterns;infrared video based sleep comfort analysis using part-based features;fall detection algorithm based on human posture recognition;model-based vehicle make and model recognition from roads;frames motion detection of quantum video;blind quantum computation with two decoy states;a bayesian based finite-size effect analysis of QKD;a novel approach to the quadratic residue code;the reduction of VQ index table size by matching side pixels;a protective device for a motor vehicle battery;a design of genetic programming scheme with VLIW concepts;management of energy saving for wireless sensor network node and optimum design and simulation of new type single phase PMSG.

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Research on the Current Situation and Development Strategies of Large-Scale K12 Online Education: A Case Study of a Province in Western China 12

Research on the Current Situation and Development Strategies...

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12th international conference of Educational Innovation through Technology, EITT 2023

作者： Zhang, Le Li, Yun Yang, ShuRan Yuan, XiaoFan School of Computer Science and Engineering North Minzu University Yinchuan China Technical Service Section Ningxia Education Information Management Center Yinchuan China School of Education Ningxia University Yinchuan China

ISBN: (纸本)9798350383362

With the rise of modern information technologies such as computer technology, internet technology (especially 5G), artificial intelligence, big data, cloud computing, and mobile devices, the connotation, manifestation, and functional role of online teaching have undergone certain changes in the field of education. this study focuses on 1,744 primary and secondary school teachers in a province in western China. through a questionnaire survey, it analyzes and studies the current situation of scaled K12 online teaching, teaching effectiveness, existing problems, and teaching needs. Based on this, it puts forward strategies for the deepening development of scaled K12 online teaching to promote the improvement of teaching quality. © 2023 IEEE.

关键词： E-learning

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DeepPRS: A Deep Learning Integrated pattern recognition Methodology for Secure Data in Cloud Environment 13th

DeepPRS: A Deep Learning Integrated Pattern Recognition Meth...

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13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

作者： Remesh Babu, K.R. Saritha, S. Preetha, K.G. Unnikrishnan, Sangeetha Izudheen, Sminu Government Engineering College Kerala Idukki India Rajagiri School of Engineering and Technology Kerala Kochi India Government Engineering College Kerala Palakkad India

ISBN: (纸本)9783031274985

the distributed data environment in the cloud poses many security and privacy challenges. the cloud environments and the Intrusion Detection System (IDS) for the same should work with low latency and high efficacy. this paper proposes a Deep learning integrated pattern recognition methodology for Secure (DeepPRS) data in cloud environment. the proposed methodology works in two phases, (i) the first phase runs a single pattern matching algorithm named as PRS algorithm that takes as input – data supplied by the centralized controller, attack history, feature data and detect patterns (ii) the second phase which runs a deep learning model to label the detected pattern as attack or non-attack type. the performance analysis of the proposed algorithm is compared with the existing pattern matching algorithms such as KMP (Knuth-Morris-Pratt Algorithm) and BM (Boyer-Moore).the experimental results shows that the performance of the PRS algorithm is highly appreciable in terms of latency. the detected pattern from the PRS algorithm is fed into a Deep Learning model to classify the type of pattern as either attack or non-attack kind. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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20th international conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

20th International Conference on Hybrid Intelligent Systems,...

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20th international conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

ISBN: (纸本)9783030730499

the proceedings contain 78 papers. the special focus in this conference is on Hybrid Intelligent Systems. the topics include: Text Classification Using Convolution Neural Networks with FastText Embedding;deep Convolutional Neural Network Based on Wavelet Transform for Super Image Resolution;optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection;building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmental Data;ANFIS-Based Inverse Kinematics and Forward Dynamics of 3 DOF Serial Manipulator;design and Development of Intelligent Pesticide Spraying System for Agricultural Robot;solving Dynamic Bag-of-Tasks Scheduling Problem in Heterogeneous Multi-cloud Environment Using Hybrid Bi-Level Optimization Model;Caching Mechanisms Evolution in CCN Architectures;SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews;auto-Encoder Based Wavelet and Extreme Learning Machine for Face recognition;characterizing Antennas’ Radiation pattern Using Bernoulli Lemniscates;analysis of Metaheuristics Feature Selection Algorithm for Classification;hybrid Genetic Algorithms to Solve the Traveling Salesman Problem;hybridization of Adaboost with Random Forest for Real-Time Prediction of Online Shoppers’ Purchasing Intention;change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network;inverse Neural Control of a Magnetic Levitation System: Experimental Results;COVID-19 Detection Using Deep Learning;an Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies;an Effective Heart Disease Prediction Model Based on Machine Learning Techniques;optimal Design of Fuzzy Controllers Using the Multiverse Optimizer;sparse Wavelet Auto-encoder for Covid-19 Cases Identification;a New Bi-objective Classic Transportation Model Considering Social Justice;emotion recognition Using Multimodalities.

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12th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2018

12th International Conference on Innovative Mobile and Inter...

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12th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2018

ISBN: (纸本)9783319935539

the proceedings contain 95 papers. the special focus in this conference is on Innovative Mobile and Internet Services in Ubiquitous computing. the topics include: Implementation of WiFi P2P based DTN routing and gateway for disaster information networks;A new contents delivery network mixing on static/dynamic heterogeneous DTN environment;Predicate clustering-based entity-centered graph pattern recognition for query extension on the LOD;discrimination of eye blinks and eye movements as features for image analysis of the around ocular region for use as an input interface;dynamic group formation for an active learning system using smartphone to improve learning motivation;Evaluation of 13.56 MHz RFID system considering communication distance between reader and tag;an efficient routing protocol via depth adjustment and energy gradation in underwater wireless sensor networks;Vulnerability analysis on the image-based authentication through the PS/2 interface;differential-evolution-earthworm hybrid meta-heuristic optimization technique for home energy management system in smart grid;A spacecraft AIT visualization control system based on VR technology;an efficient home energy management and power trading in smart grid;hierarchical based coordination strategy to efficiently exchange the power among micro-grids;weighted cuckoo search based load balanced cloud for green smart grids;foged energy optimization in smart homes;short term load forecasting based on deep learning for smart grid applications;efficient resource allocation model for residential buildings in smart grid using fog and cloud computing;feature selection and extraction along with electricity price forecasting using big data analytics;proposal of a disaster support expert system using accumulated empirical data.

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Fast and Parallel Summed Area Table for Fabric Defect Detection

Fast and Parallel Summed Area Table for Fabric Defect Detect...

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11th international conference on Natural Computation (ICNC) / 12th international conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Ragab, Khaled King Faisal Univ Coll Comp Sci & Informat Technol Al Hufuf Saudi Arabia

Automating fabric defect detection has a significant role in fabric industries. However, the existing fabric defect detection algorithms lack the real-time performance that is required in real applications due to their high demanding computation. To ensure real time, high accuracy and reliable fabric defect detection this paper developed a fast and parallel normalized cross-correlation algorithm based on summed-area table technique called PFDD-SAT. To meet real-time requirements, extensive use of the NVIDIA CUDA framework for Graphical Processing Unit (GPU) computing is made. the detailed implementation steps of the PFDD-SAT are illustrated in this paper. Several experiments have been carried out to evaluate the detection time and accuracy and then the robustness to illumination and Gaussian noises. the results show that the PFDD-SAT has robustness to noise and speeds the defect detection process more than 200 times than normal required time and that greatly met the needs for real-time automatic fabric defect detection.

关键词： Parallel computing fabric defect detection GPU normalized-cross correlation summed area table

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A Quantitative Study of Innovation-Driven Investment and its Performance Management on Corporate Fiscal Returns Using AI 12

A Quantitative Study of Innovation-Driven Investment and its...

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12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Singh, Mandeep University Institute of Computing Chandigarh University Punjab Mohali India

ISBN: (纸本)9798350369861

Background/Objectives: this study has been raised to measure the importance of investment strategies with the help of innovative ideas. the use of innovative ideas is merged with performance management, which in turn helps to created more overall fiscal growth in the corporate sector. Material and methods: Survey analysis is significantly measured with the help of primary quantitative method. the survey has been done on the employees being in 75 in numbers with the help of SPSS. Significance of the study: the significance is the use of innovation skill development helps to create more operating system egradation, which needs more knowledge and awareness in it. Findings: this analysis has a strong impact on this type of study, which in this part shows a strong relationship between the two. Conclusion: there are the, the use of a Correlation test which determines the relation between the Indirect variable and Direct variable is the significant factor, which shows the strong relationship. © 2023 IEEE.

关键词： Investments

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Innovations in CT Angiography Image Analysis: Machine Learning Methods for Plaque Segmentation 12

Innovations in CT Angiography Image Analysis: Machine Learni...

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12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Punitha, T. Santhi Piramu Preethika, S.K. School of Computing Sciences VISTAS Pallavaram Tamilnadu Chennai India

ISBN: (纸本)9798350369861

Segmentation is a common method for processing medical imaging in the present medical field. these techniques are used to provide computer-aided diagnosis (CAD) and pin point Region of Interest (ROIs) that are essential for examining a patient's symptoms and overall condition. Medical imaging is one of the main areas where this technology is used, and segmentation may automatically highlight the objects (such as vessels, cardiac chambers, etc.) which aids doctors for the disease diagnosis. Coronary Computed Tomography Angiography(CCTA) is a diagnostic process used by medical professionals to find heart vessel problems. In this proposed method, we first segment the cardiac vessel regions of interest before moving on to categorization. In the proposed work, we use simple segmentation algorithms to automatically recognize areas of occlusion by examining Coronary Computed Tomography Angiography (CCTA) images. © 2023 IEEE.

关键词： Computer aided diagnosis

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Li, XinTong Yu, BiHui Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798350332919

the text matching task aims at mining the inherent semantic features from two texts and predicting the correlation or contradiction between texts. the credit text phases have obvious domain-specific features, and there are more adversarial texts, and most of them are of different lengths leading to missing information and unclear main ideas, which will reduce the accuracy of similarity calculation. To this end, this paper proposes a credit text similarity calculation method combined with contrast learning. First, we will recall the candidate set by multi-level text recall method to reduce the influence of non-critical factors and reduce the computational effort of text matching model from shallow semantics, deep semantics and entities. And then fine-tunes the pre-trained model by combining with contrast learning method to calculate the semantic text similarity. the comparison experimental results with BERT and SimCSE show that the text similarity calculation method proposed in this paper works better. © 2023 IEEE.

关键词： Semantics

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FDTD modeling of graphene-based materials and its application in sensing devices 12

FDTD modeling of graphene-based materials and its applicatio...

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12th international conference on Modern Circuits and Systems Technologies, MOCAST 2023

作者： Cano, Pablo H. Zapata Amanatiadis, Stamatios Kantartzis, Nikolaos V. Lazaridis, Pavlos Yioultsis, Traianos V. Zaharis, Zaharias D. Aristotle University of Thessaloniki School of Electrical and Computer Eng Thessaloniki Greece University of Huddersfield School of Computing and Engineering Huddersfield United Kingdom

ISBN: (纸本)9798350321074

this manuscript presents, an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed. Moreover, the time-varying character of graphene's conductivity is exploited for its application in sensing. A graphene oxide sensing antenna operating at 6 GHz is presented and a time analysis of detection mechanism is conducted. © 2023 IEEE.

关键词： Graphene

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