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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"

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Multi time scale scheduling strategy and modeling considering photovoltaic uncertainty

Multi time scale scheduling strategy and modeling considerin...

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

作者： Juntao Zhang Yaoyi Li College of Electrical and Information Engineering Anhui University of Science and Technology Huainan China >College of Mechanical and Electrical Engineering Guangdong University of Technology Guangzhou China

Optoelectronics' rapid development has challenged the regulation ability of conventional units due to its output’s randomness, fluctuation, and uncertainty. A multi-time scale coordinated scheduling model for power generation, load shifting, and energy storage is developed by taking into account the prediction error characteristics of optoelectronics at different time scales, as well as the benefits of load curve optimization and the flexible power regulation capability of energy storage. Currently, for the optimization of power systems containing optoelectronics, this article mainly adopts the scenario method, using typical scenarios with uncertain factors to replace all possible scenarios, Calculate the expected value of the objective function using the probability of typical scenarios, and establish an expected value model to seek an optimization plan for photovoltaic output that meets the constraints of typical scenarios and safe operation. This model aims to optimize the efficiency of resource utilization by jointly modeling transferable load, energy storage and conventional units, and comprehensively considering the dispatching cost of transferable load, energy storage degradation cost, penalty cost related to unit output plan change and photoelectric consumption efficiency.

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2023 ieee 3rd international conference on computer Communication and Artificial Intelligence, CCAI 2023

2023 IEEE 3rd International Conference on Computer Communica...

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3rd ieee international conference on computer Communication and Artificial Intelligence, CCAI 2023

ISBN: (纸本)9798350335262

The proceedings contain 83 papers. The topics discussed include: self-supervised representation learning for time series via temporal contrasting and transformation;early warning and screening of elderly cognitive impairment based on machine learning algorithm;chewing detection using brightness changes in video based on deep learning;multi-agent reinforcement learning investigation based on football games;predicting the trajectory of ai utilizing the Markov model of machine learning;machine learning approach to sentiment recognition from periodic reports;deep learning models for cancer classification from microarray gene expression profiles;neural abstractive summarization: a brief survey;towards accurate crowd counting via smoothed dilated convolutions and transformer;hyperbolic graph convolutional networks for aspect-based sentiment analysis;survey of neuromorphic computing: a data science perspective;poultry disease identification based on light weight deep neural networks;fairness and effectiveness in federated learning on non-independent and identically distributed data;and corpus database management design for Chinese-Portuguese bidirectional parallel corpora.

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End-to-End Network Security Solutions using Deep Learning Algorithms 3

End-to-End Network Security Solutions using Deep Learning Al...

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3rd ieee international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Sonulal Reddy, M. Nirmala Bhatt, Nirav Pandey, Sandeep Ies College of Technology Department of Electronics & Communication Engineering Madhya Pradesh Bhopal462044 India Ies College of Technology Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Rk University Computer Engineering India Ies College of Technology Department of Electrical & Electronics Engineering Madhya Pradesh Bhopal462044 India

ISBN: (纸本)9798350343274

In recent times, network security threats have evolved, demanding sophisticated solutions. This research introduces an innovative 'End-to-End Network Security Solution' harnessing the power of deep learning algorithms. The study integrates three foundational deep learning algorithms: Convolutional Neural Networks (CNNs) for intrusion detection, Long Short-Term Memory (LSTM) networks for behavioral analysis, and Generative Adversarial Networks (GANs) for anomaly detection. The research commences with data preprocessing, followed by the application of CNNs to classify network packets as normal or potentially malicious. Further, LSTM networks delve into the temporal behavior of network traffic, flagging deviations from established patterns. Lastly, GANs play a crucial role in identifying subtle anomalies by understanding the intrinsic data distribution of normal network traffic and contrasting it against synthesized data. Comprehensive evaluations showcase the proposed method's efficacy in comparison to existing approaches, making it a promising solution for modern-day network security challenges. © 2023 ieee.

关键词： Long short-term memory

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Parallel Intelligence-enabled IoV Information Management System based on Blockchain 3

Parallel Intelligence-enabled IoV Information Management Sys...

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3rd ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Han, Shuangshuang Bai, Yongqiang Chen, Yueyun Tellambura, Chintha University of Science and Technology Beijing School of Computer & Communication Engineering Beijing China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada

ISBN: (纸本)9798350318470

The current Internet of Vehicles (IoV) data are facing challenges such as data silos, security and privacy concerns, data quality issues, and collaboration barriers. This paper proposes an IoV Information Management System (IIMS) based on parallel intelligence and blockchain to address these challenges. By leveraging the decentralized, immutable, and traceable nature of blockchain, combined with the incentive mechanisms and collaborative models of decentralized autonomous organizations (DAOs), a secure and trustworthy data sharing platform is established for collaborative analysis, business cooperation, and innovative applications of IoV data. The proposed approach utilizes the decentralized nature and data backup capabilities of blockchain to mitigate the single point of failure issues associated with centralized servers. Additionally, the anonymity, immutability, and traceability features of blockchain ensure the privacy, security, and integrity of data sharing. Moreover, the incentive mechanisms and DAO solutions within the blockchain promote data sharing among vehicles while ensuring data quality. © 2023 ieee.

关键词： Blockchain

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Secure Multi-Party Computation in Distributed Deep Learning Networks 3

Secure Multi-Party Computation in Distributed Deep Learning ...

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3rd ieee international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Nigam, Nishesh Goswami, Sudarshan Agarwal, Manish Ies University Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Ies College of Technology Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Ies College of Technology Department of Electrical & Electronics Engineering Madhya Pradesh Bhopal462044 India

ISBN: (纸本)9798350343274

The goal of this study is to present a novel strategy for improving the data privacy and security of distributed deep learning networks through the use of secure multi-party computation (SMPC). The approach in issue employs three key processes: privacy-preserving gradient descent (PPGD), secure aggregation (SA), and homomorphic encryption (HE). Several criteria are utilized to compare the efficacy of our proposed strategy to six industry-standard techniques, including accuracy, precision, recall, F1-score, training time, computational complexity, memory utilization, scalability, resilience, and privacy protection. The findings show that our method surpasses standard strategies in terms of protecting private information and sensitive data while retaining competitive model accuracy and training efficiency. This paper offers a complete architecture for secure collaborative model training and underlines the need for privacy-preserving strategies in distributed deep learning. © 2023 ieee.

关键词： Sensitive data

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Cryptocurrency and data Privacy in Human Resource Management 3

Cryptocurrency and Data Privacy in Human Resource Management

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Chandrasekeran, Indhumathi Dharmaraj, A. Juyal, Ashima Shravan, M. Deb Barman, Rajesh Lourens, Melanie Department of Commerce with Computer Application PSG College of Arts & Science CoimbatoreTamil Nadu India Department of Management Karpagam Academy of Higher Education CoimbatoreTamil Nadu India Uttaranchal Institute of Technology Uttaranchal University India School of Business SR University WarangalTelangana India Department of Commerce Bodoland University Kokrajhar BTR Assam783370 India Faculty of Management Sciences Durban University of Technology South Africa

ISBN: (纸本)9798350399264

Cryptocurrency and data privacy are two important considerations in human resource management. Cryptocurrency, such as Bitcoin, can be used to pay employees, provide incentives, and manage payroll, but it also poses risks such as price volatility and regulatory issues. data privacy, on the other hand, is the protection of personal information from unauthorized access and use. The use of blockchain technology, which is the underlying technology behind many cryptocurrencies, can enhance data privacy in human resource management by providing a secure and tamper-proof record of all transactions. However, it's important to comply with all applicable laws and regulations related to the use of cryptocurrency and data privacy in human resource management. © 2023 ieee.

关键词： Human resource management

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Study and Comparative Analysis of data Hiding Methods for Animated GIFs 3

Study and Comparative Analysis of Data Hiding Methods for An...

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

作者： Pratham Kansal, Nikhil Tawar, Nikhil Kumar, Rajeev Delhi Technological University Department of Computer Science & Engineering Delhi India

ISBN: (纸本)9798350300710

In this paper, we study and comparatively analyze the available data hiding methods for animated GIFs. Since there exist different data hiding techniques, and the choice of technique can greatly affect the security and robustness of the resulting stego-media. So, to provide guidance to the prospective researchers and users, an evaluation of several popular animated GIF based data hiding techniques which include LSB substitution, palette-based, frame-based, among others. Our experiments involve analyzing those data hiding techniques based on their imperceptibility, payload capacity, and resistance to common attacks such as visual inspection and statistical analysis. The findings suggest that while some techniques offer better payload capacity, others provide stronger security and resistance to detection. Finally, we conclude by summarizing the strengths and weaknesses of each technique and providing recommendations for their practical use in various data hiding applications. © 2023 ieee.

关键词： Steganography

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Design of 550kV GIS/HGIS Temperature Characteristic data Acquisition and Processing System under Extreme Environment 3

Design of 550kV GIS/HGIS Temperature Characteristic Data Acq...

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

作者： Xia, Ning Zhou, Chong Jia, Zongsheng Li, Xitong State Grid Dalian Electric Power Supply Company Dalian116000 China

ISBN: (纸本)9798350357707

GIS equipment has been widely used in power transmission engineering due to its advantages of high reliability and small size. Different from normal-Temperature areas, low-Temperature and high-cold areas pose challenges to the normal use of GIS. For example, in low temperature areas, the liquefaction of SF6, the low temperature characteristics of the structure and materials should be considered. In order to cope with low temperature application scenarios, in addition to reducing air pressure and gas mixing, the use of heating cables has become the main way to ensure gas performance. This paper proposes a design scheme for the acquisition device of the tracing belt for 550kV GIS/HGIS. On the basis of multi-point temperature acquisition, the Kalman algorithm is used for filtering, and the design of the host computer is completed. This study can provide theoretical guidance for the design of GIS tracing belts. © 2023 ieee.

关键词： Temperature

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Power System Stability Assessment System Based on Big data Analysis

Power System Stability Assessment System Based on Big Data A...

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

作者： Hou Zhizi Tian Rong Gu Jiakang State Grid Shanghai Economic Research Institute Shanghai China State Grid Shanghai Integrated Energy Services Co.Ltd Shanghai China

This article studies a power system stability evaluation system based on big data analysis, which includes a data acquisition module, transmission module, big data analysis module, feedback module, evaluation module, and human-machine interaction module. The output end of the data acquisition module is connected to the input end of the transmission module through communication, while the output end of the transmission module is connected to the input end of the big data analysis module through communication, The output end of the big data analysis module is connected to the input end of the evaluation module, the output end of the evaluation module is connected to the input end of the human-machine interaction module, the output end of the evaluation module is also connected to the input end of the feedback module, and the output end of the feedback module is connected to the input end of the big data analysis module. This article can effectively evaluate the power system and facilitate staff to analyze the working conditions and maintenance of various power equipment.

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Character Spray Code Detection of Steel Coil Based on High Generalization ABCNet 3

Character Spray Code Detection of Steel Coil Based on High G...

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

作者： Zhou, Hongyang Mao, Xinyue Wu, Ziyang Zhang, Yuan University of California Irvine Irvine United States China Telecom Research Institute College of Big Data and Artificial Intelligence Shanghai China Zhejiang University College of Information Science and Electronic Engineering Hangzhou China

ISBN: (纸本)9798350316674

In order to improve the accuracy of end-to-end text detection algorithm, a steel coil inkjet detection algorithm based on high generalization ABCNet is proposed. In the mainstream ABCNet text detection algorithm, the Backbone module is optimized and the high generalization ability is integrated to improve the detection accuracy. Experiments show that the algorithm can effectively improve the detection accuracy of steel coil inkjet coding, and compared with EAST, TextSnake, DBNet + +, PAN-640 and other models in terms of accuracy Precision and F-Measure. The results show that the algorithm has obvious advantages. On the steel coil detection dataset, Precision and F-Measure achieved good results, Precision was 99.7%, and F-Measure was 99.2%. © 2023 ieee.

关键词： bezier curve deeplearning end to end lightweight text detection

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