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

共 740 条记录，以下是91-100 订阅

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Discharge Fault Simulation System for High Voltage SF6 Gas Insulated Switch-gear and Its Intelligent pattern recognition 19

Discharge Fault Simulation System for High Voltage SF6 Gas I...

引用

11th international conference on Machine Learning and computing (ICMLC)

作者： Zhang Shiling State Grid Chongqing Elect Power Co Chongqing Elect Power Res Inst Chongqing 401123 Peoples R China

ISBN: (纸本)9781450366007

In this paper, the defect simulator for high voltage sulfur hexafluoride gas insulated composite electrical apparatus is developed. the device consists of four parts: sulfur hexafluoride gas chamber, solid insulator, defect simulator, observation and measurement device. the defect simulator can effectively simulate free metal particle discharge, tip discharge, suspension discharge and air gap discharge. A real-type integrated defect simulator based on GIS is developed, and the partial discharge signal is tested on the simulator, the change trend of decomposed gas with time is detected. Based on this, an artificial intelligence classification method combining fuzzy ISODATA algorithm and ant colony algorithm is proposed, and the structure parameters of the two algorithms are optimized by PSO algorithm. the field application results of HV combined electrical appliances show that the proposed method is effective. the fault type diagnosis method can effectively judge the fault mode intelligently according to time series of SF6 micro-decomposition gas and typical micro-decomposition gas. this paper not only collects the original classification data from the hardware platform of the defect simulator, but also develops an artificial intelligence classification algorithm software system which is easy to be programmed. It can be directly and effectively used to diagnose and evaluate the type of insulation defect in the field practical engineering of GIS. It has certain theoretical guidance value for GIS equipment fault diagnosis and pattern recognition.

关键词： SF6 gas insulated AC GIS pattern recognition fuzzy ISODATA algorithm ant colony algorithm parameter optimization

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Research and Application of Semi-Supervised Entity recognition Method in the Field of Technology Policy 11

Research and Application of Semi-Supervised Entity Recogniti...

引用

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

作者： Yu, Bihui Zhang, Xiangxiang University of Chinese Academy of Sciences Beijing100049 China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

In the field of technology policy, a large number of technology policies are released every day, and scientific researchers need to always pay attention to a great number of technology policy information on different websites, and it is arduous to find crucial policy information from them. Using named entity recognition technology to convert a great number of unstructured text information in technology policy fields into structured information can help scientific researchers obtain crucial policy information. Compared with named entity recognition in the general field, the main challenge of entity recognition in the professional field is that there is less data in the professional field with annotations. In order to reduce the resource overhead of annotated data, a semi-supervised learning method for named entity recognition is produced. the advantage of the semi-supervised learning training model is that it can use the text data with label information and the text data without label information to train the recognition model, and improve the generalization ability of the named entity recognition model. this paper innovatively proposes a dynamic adversarial training method DAT (Dynamic Adversarial Training) that dynamically adjusts the loss weights of supervised data and unsupervised data, and applies it to semi-supervised entity recognition tasks, and proposes the DAT-Bert-CRF model. Effectively solve the problem of semi-supervised entity recognition. the result of our experiment show that compared with other semi-supervised entity recognition methods, the performance of our model in this paper is better. © 2022 IEEE.

关键词： Character recognition

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RAKHYA'S Method: A Case Based Approach to Solve n-Queens Problem 11

RAKHYA'S Method: A Case Based Approach to Solve <i>n</i>-Que...

引用

11th international conference on Electronics, Computer and Computation (ICECCO)

作者： Rakhya, Sourabh Singh, Saurabh Jabalpur Engn Coll Informat Technol Jabalpur India Jabalpur Engn Coll Dept Comp Sci Jabalpur India

ISBN: (纸本)9781479941063

the problem of n-queens was introduced by Gauss (n = 8). It is a classical search problem in the field of machine learning. Back tracking is frequently applied to solve such constraint based problems, but it often suffers from exponential growth of computing steps/time as n increases. this paper describes the RAKHYA'S Method, which is an alternative approach to the method of back tracking. It is capable of finding more than one solutions for all values of n>3 in very few steps. there is a significant reduction in the number of steps, for instance, it takes 1,749,317,724 steps to achieve the first solution of 30-queens problem by backtracking whereas RAKHYA'S Method presents its first solution in 32 steps.

关键词： RAKHYA'S method RAKHYA (A) pattern RAKHYA (B) pattern vertical conflict horizontal conflict diagonal conflict jiggling operation shifting operation operation set and final solution

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Modeling the performance of electrochemical machining process using free pattern search

Modeling the performance of electrochemical machining proces...

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11th IEEE international conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2012

作者： Wen, Long Gao, Liang Zhang, Liping State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781467327930

Electrochemical machining is increasing in importance. It provides an economical and effective way to machine extremely difficult to cut metals and always have a higher machining rate, better surface roughness and control. In this paper, a new predictive approach called Free pattern Search (FPS) is used to explicitly modeling the performance of electrochemical machining. FPS is based on the expression tree of gene expression programming (GEP) to encode the individuals and express them to a non-determinative tree using a fixed length individual. FPS is inspired by pattern Search (PS) and Free Search (FS), and it hybrids a scatter manipulator to keep the diversity of the population. three machining parameters, the feed rate, voltage and flow rate of electrolyte are used as the independent input variables when prediction the material remove rate, surface roughness and over cut. Experiments are conducted to verify the performance of FPS and FPS obtains good results in prediction. the predictive model found by FPS agrees with the experimental results well. the relationships between variables and performance are also showed clearly in the predictive model, and the results shows that they are fit to the experiments well. © 2012 IEEE.

关键词： Surface roughness

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SHMII 2022 -11th international conference on Structural Health Monitoring of Intelligent Infrastructure

SHMII 2022 -11th International Conference on Structural Heal...

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11th international conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2022

the proceedings contain 136 papers. the topics discussed include: a multifunctional guided wave sensor for Australian road infrastructure;some novel sensors and smart materials for infrastructure monitoring;fiber optic distributed sensor developments and their SHM applications;the value of structural health monitoring information for emergency management;establishing a unified approach to bridge management to enable the development of data-driven climate mitigation measures to enhance the resilience of our road networks;capacity evaluation of existing bridges by integration of SHM data and numerical analysis;application of clustering system in acoustic emission monitoring of reinforced concrete structures: a preliminary study;signal transformation analysis for damage detection using pattern recognition;and numerical verification for a cable tension estimation method simply based on local vibration measurements.

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

Proceedings of the 2022 11th International Conference on Sys...

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

ISBN: (纸本)9781665487320

the proceedings contain 289 papers. the topics discussed include: cloud bursting: intelligent technique in cloud computing;water-quality-analysis using machine learning;an optimized ensemble machine learning model for automobile risk factor prediction;a comparative evaluation of valine-leucine amino acid impact for disease identification using fuzzy C-means clustering and KNN classification;conversational interfaces for health consultation;visualization and prediction of heart disease using big data analytics;speech difficulties and clarification: a systematic review;an investigative study of long-term implication of extended reality applications in educational pursuits for learning-disabled population: a recommendation approach;an agile review of machine learning technique;scheduling cloudlets in a cloud computing environment: a priority-based cloudlet scheduling algorithm (PBCSA);an overview of supervised machine learning algorithm;and advanced blood management system community method based on deep learning.

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Design of 1553B Network for Teaching 11

Design of 1553B Network for Teaching

引用

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

作者： Liu, Wenhai Wu, Jian University of Chinese Academy of Sciences Beijing100049 China Shenyang Institute of Computing Technology Shenyang110168 China

Traditional 1553B teaching-help software does anything about what should be taught, however, good data not included. We design and implement a 1553B network driven by simulation data flow. And it performs well on 1553... 详细信息

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

关键词： Education Ethernet Data models Software Information and communication technology

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A Comparative Study of Local Detectors and Descriptors for Mobile Document Classification 13

A Comparative Study of Local Detectors and Descriptors for M...

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13th IAPR international conference on Document Analysis and recognition (ICDAR)

作者： Rusinol, Marcal Chazalon, Joseph Ogier, Jean-Marc Llados, Josep Univ Autonoma Barcelona Dept Ciencias Comp Comp Vis Ctr Edifici O Bellaterra 08193 Barcelona Spain Univ La Rochelle Lab L3i F-17042 La Rochelle 1 France

ISBN: (纸本)9781479918058

In this paper we conduct a comparative study of local key-point detectors and local descriptors for the specific task of mobile document classification. A classification architecture based on direct matching of local descriptors is used as baseline for the comparative study. A set of four different key-point detectors and four different local descriptors are tested in all the possible combinations. the experiments are conducted in a database consisting of 30 model documents acquired on 6 different backgrounds, totaling more than 36.000 test images.

关键词： document image processing image classification mobile computing pattern classification classification architecture direct matching local descriptors local key point detectors mobile document classification High definition video high definition video document image processing pattern recognition Image classification Mobile computing Subject Headings Descriptors detector

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Small Target Foreign Object Detection Based on Improved YOLO Network 11

Small Target Foreign Object Detection Based on Improved YOLO...

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

作者： Bo, Yu Qiuru, Wang Shenyang Institude 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

We propose an improved YOLOv4 small target detection method for small target foreign object (FOD) recognition that requires as few detection accuracy, speed, and model volume parameters as possible so that it can be easily ported to other mobile devices such as video surveillance or UAVs in the future. Firstly, the backbone feature extraction network of YOLOv4 is replaced by the MobileNetV2 model, which aims to reduce the number of model parameters. Secondly, the three enhanced feature extraction layers of the original YOLOv4 are increased to four, and a new shallow-scale enhanced feature extraction layer is added, which enhances the characterization capability of the model without increasing the model complexity, making the improved YOLOv3 network structure better for small target detection. © 2022 IEEE.

关键词： Feature extraction

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Economic Order Quantity Method for a Virtual VM Distributed System 11

Economic Order Quantity Method for a Virtual VM Distributed ...

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

作者： Tajpal Abrol, Monika Chandigarh School of Business Department of Master of Computer Application Jhanjeri India Sanskriti University Department of Applied Science Uttar Pradesh Mathura India

ISBN: (纸本)9781665487320

Virtualized methods are gaining popularity nowadays. Cloud storage in some kind of a complex is also affected. the concept of this study is web grid connected capabilities and real environmental virtualized compute service. It emphasizes the congestion control mechanism as well. the suggested approach would use system dynamics to automatically migrate each computing infrastructure nodes and enhance its speed. © 2022 IEEE.

关键词： Grid computing

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