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检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3023 条记录，以下是281-290 订阅

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Large-scale energy storage battery technology participates in the application of AGC frequency modulation in thermal power plants 3

Large-scale energy storage battery technology participates i...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Wang, Zhongyan Li, Jia Wang, Songhan Si, Ruicai Liu, Xiwen Yao, Zhuohong Zhou, Chi Song, Yang State Grid Corporation of China Jilin Province Electric Power Science Research Institute Co Ltd Changchun China Huaneng Changchun Thermal Power Plant Changchun China

ISBN: (纸本)9781665472784

With the increasingly strict AGC assessment, energy storage system to participate in AGC frequency modulation technology to meet the development opportunities. This paper introduces the application status, basic principle and application effect of the largest side energy storage system in China, analyzes the comprehensive frequency modulation performance index and economic benefits before and after the energy storage system is put in, and the inspiration of energy storage system combined with thermal power plant frequency modulation to the power grid. © 2023 ieee.

关键词： Frequency modulation

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A value index calculation framework for value quantification 3

A value index calculation framework for value quantification

引用

3rd ieee international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

作者： Liang, Yan Xie, Xin Wan, Rui Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9781665490788

Along with the rapid development of digital economy, value-based management has attracted more and more attention from enterprises with its diversified advantages. Value-based management is based on value quantification, aims at value growth, and pursues long-term sustainable maximization of organizational value. The value quantitative evaluation needs to carry out full-scale data collection and calculation of element flowing in the process. When the data collection and calculation is scattered in digital applications of various businesses, there are often some problems such as irregular data collection, low calculation efficiency and difficult monitoring of indicators. Therefore, this paper exploits the value quantitative evaluation technology and designs a value index calculation framework, which includes digital element warehouse, digital component warehouse, and digital index warehouse. The proposed framework can provide the ability of element association management, process execution data collection and value index calculation and analysis. It can effectively improve the standardization, accuracy and efficiency of value quantitative evaluation and provide support for process optimization and innovation. © 2023 ieee.

关键词： Warehouses

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EaseIt: An Android Based Health Monitoring Mobile application 3

EaseIt: An Android Based Health Monitoring Mobile Applicatio...

引用

3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Shirley, C.P. Francis, Sharon Natasha Karunya Institute of Technology and Sciences Dept. of Computer Science and Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350322842

Diseases such as diabetes, high blood pressure, high cholesterol, etc. have grown significantly in importance in recent years. In order to preserve optimum health, the blood pressure measurements, medications, and diet of the patients diagnosed with these diseases must be effectively monitored and controlled. However, frequent monitoring requires a person to go to a healthcare center, which is not feasible due to various real-time interfaces. To address this issue, a mobile application that monitors the factors that influence a patient's blood work, and assists patients in making decisions about their diet, treatment, and medication adjustments based on the data gathered is presented. It also gives alerts and suggestions based on a graph-generated report. In addition, the app features a communication channel that connects the patient and doctor, facilitating easy and efficient monitoring and management of diseases. © 2023 ieee.

关键词： Telemedicine

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Abnormal electricity identification based on intelligent clustering 3

Abnormal electricity identification based on intelligent clu...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Shang, Guanxia Chen, Kanghan Zheng, Yajin Lin, Yongchun Lin, Weiqi State Grid Fujian Electric Power Company Co. Ltd Fuzhou China State Grid Minhou County Electric Power Supply Branch Minhou China State Grid Ningde Electric Power Supply Company Co. Ltd. Ningde China State Grid Info-Telecom Great Power Science and Technology Co.Ltd. Fuzhou China

ISBN: (纸本)9781665472784

An abnormal power consumption behavior detection method based on improved support vector machine (SVM) is proposed to analyze the abnormal power consumption behavior of power users in the big data environment. An abnormal power consumption behavior detection method based on improved support vector machine (SVM) is proposed to analyze the abnormal power consumption behavior of power users in the big data environment. © 2023 ieee.

关键词： Electric power utilization

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Research and Implementation of 3D Visualization Technology Based on GIM Model 3

Research and Implementation of 3D Visualization Technology B...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Zhang, Su Zhang, Yaping Qi, Lizhong Sun, Xiaohu State Grid Economic and Technological Research Institute Co. LTD Beijing China

ISBN: (纸本)9781665472784

In this paper, GIM model / 3D display, virtual reality and information integration technology is combined to put forward a four-layer framework of urban power grid 3D spatial visualization information platform. Through data analysis, parameter modeling, model assembly, model optimization and attribute warehousing, the system converts GIM model into a general standard 3D model file FBX, which reduces the data amount of the model to a large extent. The reconstruction and optimization of GIM model are realized. The platform integrates engineering information, geographic information, digital models and documents throughout the whole process of engineering construction to complete the application of three-dimensional digital handover. Finally, the application of 3D model in the secondary system simulation analysis, online monitoring and fault diagnosis is realized with the actual 220kV smart substation as the pilot. The simulation results show that this technology can effectively improve the efficiency of three-dimensional design, operation and maintenance of secondary system. © 2023 ieee.

关键词： Smart power grids

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Research on quantitative evaluation method of demand response of new load park based on real-time data 3

Research on quantitative evaluation method of demand respons...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Liu, Cenli Kaili Power Supply Bureau of Guizhou Power Grid Kaili556099 China

ISBN: (纸本)9781665472784

With the development of the new generation of information technology, the scale and capacity of the data center are growing day by day. The new load park with the data center as the main load has the potential to be a demand side response by integrating various resources. This paper studies the operation characteristics and dispatching mode of the new load park. Combining the rules of the power market, the new load park with the confidence capacity as the measurement index is proposed as the adjustable capacity of the demand side response and its contribution to the power supply reliability of the power system. The results show that the proposed method can effectively evaluate the adjustable capacity of the new load park. © 2023 ieee.

关键词： Parks

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Importance of CURE Clustering Algorithm over K-Means Clustering Algorithm for Large data-set 3

Importance of CURE Clustering Algorithm over K-Means Cluster...

引用

3rd international conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Bharadwaj, Prakhar Gupta, Ragesh Gurjar, Ravi Singh, Anurag National Institute of Technology Delhi Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350300710

The method of finding natural groupings within multidimensional data based on some similarity metrics is known as data clustering. There are many clustering algorithms proposed over time, and many of them have gained considerable popularity due to the ease of use and efficiency of such algorithms. Although most of the algorithms perform well in many use cases, some are limited to specific types of data distributions. This paper aims to demonstrate the importance of Cure algorithm over the K-Means Algorithm with the help of a specified performance metric for large data sets. © 2023 ieee.

关键词： K-means clustering

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Research and application of CPS-Based Automatic Circulation System for the Entire Silk Production Process 3

Research and Application of CPS-Based Automatic Circulation ...

引用

3rd international conference on Electrical Engineering and Control science, IC2ECS 2023

作者： Zhang, Yi Song, Zhizhuo Lan, Xin Song, Lei Li, Yuheng Feng, Hai China Tobacco Zhejiang Industry Co. Ltd. Ningbo Cigarette Factory Ningbo China Qinhuangdao Tobacco Machinery Co. LTD. Qinhuangdao China

ISBN: (纸本)9798350382426

In the 2021 Tobacco Industry Cybersecurity and Informatization Work conference, it was proposed to take 'digital transformation as the main line and promote digital development' in order to improve the automation of batch management in the production process. Based on cyber-physical system technology, the batch circulation system for the whole silk making process was researched and applied to realize automatic batch circulation and save manpower. Microservice architecture is adopted to collect data inside the underlying PLC for upper-level use. The upper-level computer engineer station was used for human-computer interaction functions such as production monitoring, program maintenance, and application development. After using this system, the production was observed and data collected for a period of time. Compared with the manual mode, the average batch change time in the automatic mode was shortened by 10.89 minutes, and the standard deviation was reduced by 5.32;the moisture deviation was reduced by 0.152 in the automatic mode. The results showed that the time of each batch is more stable, and the batch change time has been significantly improved compared to manual operation after application of this system. The fluctuation of the batch moisture value in automatic mode was also smaller. At the level of material homogenization also had an improvement. © 2023 ieee.

关键词： batch circulation batch management cyber-physical systems microservices whole batch process

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CT Tumor Image Segmentation Based on Deep Learning 3

CT Tumor Image Segmentation Based on Deep Learning

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Yue, Sun Yong, Ding Jilin Communications Polytechnic Changchun China Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798350316674

Computed Tomography (CT) images play a crucial role in tumor detection, as it directly impacts subsequent analysis and treatment procedures. To address the issue of decreased accuracy due to manual interference, leveraging the advancements in deep learning computer technology for automated segmentation of CT tumors holds significant promise. The U-Net network is an automatic segmentation algorithm that operates fully on its own, This paper proposes enhancements to the original U-Net network model by increasing the number of convolutional layers in the U-Net encoder and modifying the classification from three-classification to two-classification. Additionally, the training data set sample size is increased, and the system performance is compared with the original basic model. The results show a significant improvement in the Dice coefficient compared to the original model, which holds clinical significance. © 2023 ieee.

关键词： CT images deep learning tumor segmentation U-Net model

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Research on Safety Monitoring and Defect Identification Method of Oil and Gas Pipeline Based on Faster R-CNN Technology

Research on Safety Monitoring and Defect Identification Meth...

引用

data science and computer application (icdsca), ieee international conference on

作者： Hang Xin Xiaoran Du Sino-Pipeline International Company Limited Beijing China

For the problems of oil and gas pipelines in complex environments, such as difficulty in defect detection, high false alarm rate, and inaccurate positioning, this paper proposes a defect recognition algorithm based on Faster R-CNN. First, according to the Faster R-CNN model, RPN is established to obtain the confidence and coordinate system number of image features and effective anchor points. The information of the prediction box and target box is generated. Second, an ROI Pooling strategy is proposed to eliminate the size inconsistency between the prediction and target boxes. Third, concerning the defect characteristics of oil and gas pipelines, a classification regression model considering the influence of category and location is constructed to describe the defects more accurately. Finally, an oil and gas pipeline safety monitoring system based on the Faster R-CNN algorithm is built. Simulation and experiment prove the effectiveness of the proposed defect recognition algorithm.

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