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检索条件"任意字段=12th International Conference on Computing and Pattern Recognition, ICCPR 2023"

共 284 条记录，以下是31-40 订阅

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Proceedings - 2015 IEEE 12th international conference on Ubiquitous Intelligence and computing, 2015 IEEE 12th international conference on Advanced and Trusted computing, 2015 IEEE 15th international conference on Scalable computing and Communications, 2015 IEEE international conference on Cloud and Big Data computing, 2015 IEEE international conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Proceedings - 2015 IEEE 12th International Conference on Ubi...

引用

Proceedings - 2015 IEEE 12th international conference on Ubiquitous Intelligence and computing, 2015 IEEE 12th international conference on Advanced and Trusted computing, 2015 IEEE 15th international conference on Scalable computing and Communications, 2015 IEEE international conference on Cloud and Big Data computing, 2015 IEEE international conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

ISBN: (纸本)9781467372114

the proceedings contain 314 papers. the topics discussed include: recognizing gait pattern of Parkinson's disease patients based on fine-grained movement function features;SAPM: self-adjusting pipelining mechanism for efficient bulk data dissemination in smart homes;WSelector: a multi-scenario and multi-view worker selection framework for crowd-sensing;CrowdPic: a multi-coverage picture collection framework for mobile crowd photographing;an acoustic traffic monitoring system: design and implementation;an interpretable orientation and placement invariant approach for smartphone based activity recognition;characterising and predicting urban mobility dynamics by mining bike sharing system data;underground magnetic localization method and optimization based on simulated annealing algorithm;an adaptive demodulation structure for UHF RFID readers based on the phase of input signal;intelligently creating contextual tutorials for GUI applications;HyCPK: securing identity authentication in ubiquitous computing;context-aware trust-based management of vehicular ad-hoc networks (VANETs);and BWMesh: a multi-hop connectivity framework on Android for proximity service.

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Named Entity recognition in Fire Control Texts Based on BERT 12

Named Entity Recognition in Fire Control Texts Based on BERT

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

作者： Meng, XiangRu Cao, PengFei Ma, ManNing Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350332919

In order to extract named entities from fire control texts more accurately, a named entity corpus based on fire control related texts is constructed. Aiming at the traditional word vector or word vector can not better represent the context semantics and the disadvantages of recurrent neural network in using GPU parallel computing ability, a named entity recognition model of fire control related texts based on BERT is proposed. the word granularity vector matrix is obtained by using the BERT language model, and the use the IDCNN to abstract features from text. the text dependency on a long-distance of sentences is obtained through MA layer. At last, the global best sequence is extracted through CRF. By analyzing the final experimental findings, it is known that the accuracy, recall and F value increased 2.78%, 1.59% and 1.33% respectively. © 2023 IEEE.

关键词： Semantics

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Image recognition system for bird sampling in the city of Zacatecas 12

Image recognition system for bird sampling in the city of Za...

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12th international conference on Software Process Improvement (CIMPS)

作者： Sanchez Lee, Vania Stephany Felix Jimenez, Axel Frederick Ibarra Belmonte, Isaul Parra Gonzalez, Ezra Federico Natl Polytech Inst Engn Comp Syst Zacatecas Mexico Ctr Res Math Zacatecas Mexico Ctr Res Math Comp Sci Dept Zacatecas Mexico

ISBN: (纸本)9798350358568

the lack of comprehensive bird monitoring in Zacatecas, Mexico hampers biodiversity conservation efforts. this study addresses this gap by utilizing convolutional neural network models for image recognition of endangered golden eagles, bald eagles, and osprey eagles found in Zacatecas. Datasets were obtained from online sources, and images were pre-processed and organized in a CSV file. three models (ResNet, Inception, MobileNet) were implemented, trained, and validated. the Inception model achieved the highest accuracy (93.617%), followed by ResNet (85.674%) and MobileNet (78.234%). the Inception model's accuracy establishes it as the most effective for recognizing these bird species. this methodology contributes to bird conservation by providing a reliable identification and monitoring tool. Further integration of these models into comprehensive monitoring programs can aid in assessing conservation status and implementing targeted strategies for bird conservation in Zacatecas.

关键词： birds image processing Zacatecas City pattern recognition convolutional neural networks

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A Wireless Body Sensor Network For Activity Monitoring With Low Transmission Overhead 12

A Wireless Body Sensor Network For Activity Monitoring With ...

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12th IEEE/IFIP international conference on Embedded and Ubiquitous computing (EUC)

作者： Braojos, Ruben Beretta, Ivan Constantin, Jeremy Burg, Andreas Atienza, David Ecole Polytech Fed Lausanne Embedded Syst Lab CH-1015 Lausanne Switzerland Ecole Polytech Fed Lausanne Telecommun Circuits Lab CH-1015 Lausanne Switzerland

ISBN: (纸本)9780769552491

Activity recognition has been a research field of high interest over the last years, and it finds application in the medical domain, as well as personal healthcare monitoring during daily home-and sports-activities. With the aim of producing minimum discomfort while performing supervision of subjects, miniaturized networks of low-power wireless nodes are typically deployed on the body to gather and transmit physiological data, thus forming a Wireless Body Sensor Network (WBSN). In this work, we propose a WBSN for online activity monitoring, which combines the sensing capabilities of wearable nodes and the high computational resources of modern smartphones. the proposed solution provides different tradeoffs between classification accuracy and energy consumption, thanks to different workloads assigned to the nodes and to the mobile phone in different network configurations. In particular, our WBSN is able to achieve very high activity recognition accuracies (up to 97.2%) on multiple subjects, while significantly reducing the sampling frequency and the volume of transmitted data with respect to other state-of-the-art solutions.

关键词： body sensor networks computerised instrumentation energy consumption fuzzy neural nets mobile computing mobile handsets pattern classification WBSN activity monitoring activity recognition accuracies classification accuracy mobile phone neuro-fuzzy classifier sampling frequency smartphones transmission overhead wearable nodes wireless body sensor network Accuracy Biomedical monitoring Feature extraction Monitoring Smart phones Wireless communication Wireless sensor networks Body sensor networks Smartphone Mobile phones Fuzzy neural networks energy consumption computerised instrumentation Biomedical monitoring CARRIER SYSTEM pattern recognition Mobile computing Feature extraction Wireless sensor networks SAMPLING FREQUENCY

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Intelligent recognition of chelonioidea sea turtles 12th

Intelligent recognition of chelonioidea sea turtles

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12th international conference on Application of Fuzzy Systems and Soft computing (ICAFS)

作者： Khashman, Adnan Oyedotun, Oyebade Sadikoglu, Fahreddin ECRAA TR-10 Lefkosa Mersin Turkey Univ Kyrenia TR-10 Girne Mersin Turkey Near East Univ Elect & Elect Engn Dept POB 99138 TR-10 North Cyprus Mersin Turkey

the preservation of our natural environment and ecological system has recently become an alarming global concern due to the increase in worldwide pollution levels. Many agencies, governmental and non-governmental organizations are leading awareness campaigns of the dwindling ecosystem in various environments. One of these environments is marine life which forms an important integral part of realizing a self-sustaining ecosystem. Unfortunately, some marine dwellers such as Chelonioidea turtles are becoming endangered species. this is also partly due to lack of information on the more rare and mysterious Chelonioidea species;their habitats, traveling routes and tracks. there are eight species of these mysterious marine dwellers in the world. this paper presents a novel application that could aid in preserving the international marine life ecological system. Our intelligent identification system is based on pattern recognition and neural learning of visual information in sea turtles images. the system is scale and rotational invariant and thus can be successfully used in recognizing the species via their images. (C) 2016 the Authors. Published by Elsevier B.V.

关键词： Chelonioidea sea turtles marine life ecological system intelligent identification neural networks pattern recognition

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Two-Dimensional Hidden Markov Models for pattern recognition

Two-Dimensional Hidden Markov Models for Pattern Recognition

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12th international conference on Artificial Intelligence and Soft computing, ICAISC 2013

作者： Bobulski, Janusz Adrjanowicz, Lukasz Czestochowa Tech Univ Inst Comp & Informat Sci PL-42200 Czestochowa Poland

ISBN: (纸本)9783642386572

Hidden Markov models are well-known methods for image processing. they are used in many areas where 1D data are processed. In the case of 2D data, there appear some problems with application HMM. there are some solutions, but they convert input observation from 2D to 1D, or create parallel pseudo 2D HMM, which is set of 1D HMMs in fact. this paper describes authentic 2D HMM with two-dimensional input data, and its application for pattern recognition in image processing.

关键词： hidden Markov model pattern recognition image processing

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Research on Intention recognition of Educational Counseling Combining BERT and Concept Map 12

Research on Intention Recognition of Educational Counseling ...

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

作者： Gao, Sida Bao, Yuqian Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Nanjing Agricultural University Nanjing China

ISBN: (纸本)9798350332919

In the process of building a question answering system, the intention recognition of questions is an important step, and the accuracy of intention recognition has a great impact on the question answering system. In this method, the concepts of each entity in the concept graph are explicitly applied to the data processing process, and the entities are abstracted into a concept level. At the same time, in order to distinguish the subtle differences between concepts, different concepts of the same entity are further scored and ranked, and the concepts are sequentially applied. Incorporating the information of the concept map into the classification model can significantly improve the accuracy of the model in the domain, so that the model still has a good effect on a small-scale training set. Finally, experiments are carried out on the data of question answering in the college entrance examination field. the experimental results show that the method has good effect and good generalization. © 2023 IEEE.

关键词： Classification (of information)

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recognition of Partial Discharge in Medium Voltage Switchgear via Gray-Scale Diagram and Support Vector Machine 12

Recognition of Partial Discharge in Medium Voltage Switchgea...

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12th international conference on Power and Energy Systems (ICPES)

作者： Wu, Xutao Jin, Lei Liu, Weifeng Niu, Bo Li, Zecheng Ma, Yunlong State Grid Ningxia Elect Power Co Ltd Elect Power Res Inst Yinchuan Peoples R China Xi An Jiao Tong Univ Sch Elect Engn Xian Peoples R China

ISBN: (纸本)9781665451451

Partial discharge (PD) has been proved to be a sensitive indicator to reveal the insulation condition of medium voltage (MV) switchgear. Since the influence of a PD on MV switchgear strongly depends on its type and location, accurate recognition of the PD is crucial to improve the efficiency of on-site measurement and optimize the maintenance strategy. Accordingly, this paper develops a PD recognition method based on gray-scale diagram and support vector machine. Labeled signals including many PD pulses are transformed into a gray-scale diagram via a two-dimensional maximum margin criterion, significantly reducing the dimensionality of the PD data thus improving computing efficiency. Models of different types of PD defects are then trained by applying the support vector machine to the labeled gray-scale diagrams. Eventually, the type of a PD is identified via the trained models. the effectiveness and feasibility of the proposed method are verified on four artificial PD models and three simulated PD defects on a real 10-kV switchgear.

关键词： switchgear partial discharge SVM pattern recognition simulated real defects

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A Multi-Sensor Algorithm for Activity and Workflow recognition in an Industrial Setting 19

A Multi-Sensor Algorithm for Activity and Workflow Recogniti...

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12th ACM international conference on PErvasive Technologies Related to Assistive Environments (PETRA)

作者： thomay, Christian Gollan, Benedikt Haslgruebler, Michael Ferscha, Alois Heftberger, Josef Res Studios Austria Pervas Comp Applicat Vienna Austria Johannes Kepler Univ Linz Inst Pervas Comp Linz Austria Fischer Sports GmbH Ried Austria

ISBN: (纸本)9781450362320

In the recent revival of human labour in industry, and the subsequent push to optimally combine the strengths of man and machine in industrial processes, there is an increased need for methods allowing machines to understand and interpret the actions of their users. An important aspect of this is the understanding and evaluation of the progress of the workflows that are to be executed. Methods for this require both an appropriate choice of sensors, as well as algorithms capable of quickly and efficiently evaluating activity and workflow progress. In this paper we present such an algorithm, which provides activity and workflow recognition using both depth and RGB cameras as input. the algorithm's main purpose is to be used in an industrial training station, allowing novice workers to learn the necessary steps in assembling nordic ski products without the need for human supervision. We will describe how the algorithm recognizes predefined workflows in the sensor data, and present a comprehensive evaluation of the algorithm's performance on a real data recording of operators performing their work in an industrial setting. We will show that the algorithm fulfills the necessary requirements and is ready to be implemented in the training station application.

关键词： Industrial assistance systems activity recognition pattern recognition pervasive computing sensor fusion

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Acceptance and shipping warehouse zones calculation using serverless approach 12

Acceptance and shipping warehouse zones calculation using se...

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12th IEEE international Scientific Technical conference on Dependable Systems, Services and Technologies (DESSERT) - Dependable and Trustworthy AI, IoE, Big Data Analytics for a Safe and Secure World

作者： Muliarevych, Oleksandr Lviv Polytech Natl Univ Dept Elect Comp Machines Lvov Ukraine

ISBN: (纸本)9798350333046

this article describes methodology of acceptance and shipping zones calculation during warehouse design procedure. this study demonstrates complexity of searching for optimal design solution because of big number of input parameters and constraints, that brings thousands of combinations to check. Developed system using prediction model and serverless computing of different parameter combinations enable decrease time for optimal result search and makes warehouse design more automated. Results showed in article demonstrates comparison of different approaches for the most complex computing part of different system parameters combination evaluation using monolith architecture, microservices with horizontal auto-scaling and serverless light-weighted functional processing. Further research will demonstrate results of picking and replenishment (forward-reserve problem-solving) zones evaluation and results of scaling serverless computing higher than 1000 executors at once.

关键词： warehouse design serverless computing acceptance and shipping zones optimal labor cost search automation pattern recognition

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