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proceedings - 2023 international conference on Advanced Enterprise information System, AEIS 2023

Proceedings - 2023 International Conference on Advanced Ente...

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3rd international conference on Advanced Enterprise information System, AEIS 2023

ISBN: (纸本)9798350359268

The proceedings contain 22 papers. The topics discuss include: the adoption and usage of SAFe in financial institutions;automated black-box testing of RESTful APIs using enhanced artificial bee colony;feature engineering procedure for information enrichment;multi-feature classification enhancement;approach to reuse of unity game scenes;see-shop system: an assistive outdoor navigation system for the visual impaired based on deep learning methods;OMIT: an instrument to aid implementation of a data ownership model in data governance;architecture to productize semantic transformation by utilizing natural language processing with microservices;distributed data addressed in natural language;and knowledge-driven analysis framework of anomaly propagation in manufacturing workshop.

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Image Enhancement of Maritime Infrared Targets Based on Joint Features of Grayscale and Texture 3

Image Enhancement of Maritime Infrared Targets Based on Join...

引用

3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： Jiang, Yingqi Dong, Lili Tian, Changzhi Dalian Maritime University Information Science and Technology College Dalian China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

Maritime distress accidents usually occur in severe wind and wave environments. Infrared image enhancement technology can provide high-quality images for follow-up search and rescue work and has significant research value. This paper first analyzes the features of maritime infrared target images. According to the grayscale Gaussian distribution shape and gradient texture directionality of the target area, designs a target feature description operator and extracts the target feature image as the guide image for guided filtering. Then, the difference operation is performed between the original image and the filtering result, and the target detail layer that suppresses background noise and is not distorted is obtained. Finally, the target layer and the original image are fused with appropriate weights to obtain an enhanced image that retains the characteristics of the natural environment. The experimental results show that the method can effectively improve the clarity of the image and the detectability of the target. © 2022 IEEE.

关键词： Image enhancement

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A new single-phase grounding fault location method of distribution networks with the influence of distributed generators and loads 3

A new single-phase grounding fault location method of distri...

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3rd international conference on Intelligent Power and systems, ICIPS 2023

作者： Yang, Lang Fan, Xinqiao Zhang, Li Li, Hui Beijing Information Science and Technology University School of Automation Beijing China

ISBN: (纸本)9798350328691

Aiming at the single-phase grounding fault location problem of neutral point ungrounded distribution network system with distributed generators, a single-ended impedance method fault location method based on zero-sequence current is proposed. Firstly, the circuit voltage equation is written based on the line impedance parameters and the collected bus voltage, line bus current, end loads current and the distributed generator outlet current data, as well as the fault current series circuit voltage equation constructed by the zero-sequence component of the post-fault loads current, the zero-sequence component of the capacitor current to the ground and the zero-sequence component of the current at the head of the line. Secondly, the fault distance is given as a variable for the fault location equation of each line segment in turn, and finally the fault distance is obtained by solving the equation. In the process of fault location calculation, the problem of line-to-ground capacitor current compensation is considered, and the node voltage is used to calculate the capacitor current, the node voltage between the fault location and the bus end is calculated by the electrical quantity at the bus end, and the node voltage between the fault location and the end is calculated by the forward pushback generation method. An improved IEEE 34-node model with distributed power source and loads is constructed by PSCAD/EMTDC and the fault location simulation is verified, and the results show that the fault location of the distribution network with distributed generators and loads can be accurately located by the method proposed in this paper. ©2023 IEEE.

关键词： distributed power generation

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Third international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

Third International Conference on Algorithms, Microchips, an...

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3rd international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

ISBN: (纸本)9781510680098

The proceedings contain 79 papers. The topics discussed include: a local flooding-based survivable routing algorithm for mega-constellations networks with inclined orbits;research on HOV lane route layout method based on heuristic algorithm;a distributed on-demand routing algorithm for large-scale low earth orbit constellation;exploiting sequence characteristics for long-term workload prediction in cloud data centers;DOA estimation based on mode and maximum eigenvector algorithm with reverberation environment;a lightweight car damage detection algorithm;a privacy preserving carbon quota trading and auditing method;TCSE-ResNet50 mixed-signal identification algorithm for joint spectrum and quartic spectrum;research on speed profile generation of train automatic driving planning based on improved genetic algorithm;and an efficient 3D point cloud classification approach via persistent homology.

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Optimal design of phase-locked amplifier based on FPGA 3

Optimal design of phase-locked amplifier based on FPGA

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3rd international conference on Digital Signal and Computer Communications, DSCC 2023

作者： Yu, Lintao Li, Haoran School of Electronic Information Engineering Changchun University of Science and Technology Jilin Province Changchun China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

As an effective technology for precise detection of weak signals, phase-locked amplifiers are widely used in various fields. Field programmable gate array (FPGA) can improve data processing speed by virtue of its large-scale parallel data processing capability and pipeline technology, so it has obvious advantages in digital signal processing. The design of digital phase-locked amplifier based on FPGA can reach a high level in speed and accuracy. The digital low-pass filter in the traditional phase-locked amplifier is a combination of adder and multiplier in structure. Because in FPGA, the multiplication operation needs to consume a lot of system hardware resources, this paper proposes to use the distributed algorithm based on table segmentation technology to realize the digital phase-locked amplifier, which optimizes the problem of the large resource occupation of the traditional multiply-plus phase-locked amplifier, and solves the problem of the shortage of multiplier resources, It saves on-chip resources of FPGA and makes the phase-locked amplification technology easier to implement on FPGA. © 2023 SPIE.

关键词： Low pass filters

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Target detection and cow standing behavior recognition based on YOLOv5 algorithm 3

Target detection and cow standing behavior recognition based...

引用

3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： Tian, Xin Li, Bomeng Cheng, Xiaodong Shi, Xiangyang Inner Mongolia University College of Electronic Information Engineering Hohhot China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

Accurate and effective behavior recognition of cows is the basis for realizing informationization, high efficiency and scale of animal husbandry farming. To address the limitations of traditional non-contact and contact for obtaining animal behavior information, this paper investigates the target detection based on YOLOv5 algorithm and the cow standing behavior recognition method for video analysis. This paper first introduces the target detection algorithm, then describes the target detection network model (YOLOv5Net), which extracts the relevant features of cow images and performs image target detection through training to recognize the standing behavior of cows in real time. To achieve effective recognition of cow standing and efficient extraction of cow targets in complex natural environments, the YOLOv5 model for cow standing recognition is explored[8];finally, the implemented YOLOv5 model is evaluated and analyzed for environment modeling and target detection algorithm objectives, and the experimental results show that the experimental detection correctness accuracy is 97.6%, and the preprocessing time in detecting a single image is It can quickly and accurately identify the standing behavior of cows, which lays the foundation for basic behavior identification and localization of cows. © 2022 IEEE.

关键词： Deep learning

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Research Hotspot and Trend Analysis of Anonymous Communication Based on Citespace 3

Research Hotspot and Trend Analysis of Anonymous Communicati...

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3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： She, Yijie Xu, Dawei Tan, Zhonghua Zhao, Jian College of Cybersecurity Changchun University Changchun China College of International Education Hainan Normal University Haikou China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

The bibliometric method was applied to search domestic and international core journals on the topic of anonymous communication during 2000-2022, and the Citespace tool was used to conduct a multidimensional analysis of authors, institutions and journal collaborations, etc. The co-occurrence analysis of high-frequency keywords and mutation detection terms was conducted to draw a relevant visual relationship map, so as to analyse the recent research in the field of anonymous communication at home and abroad the results of the study show that in the past 22 years, the number of anonymous communication has been increasing. The results of the study show that in the past 22 years, the number of foreign publications in the field of anonymous communication has been on the rise compared to the overall trend in China, while the number of articles in the field of anonymous communication in China is relatively small, and scholars and institutions should strengthen cooperation and communication among themselves to promote the development of research on anonymous communication. The 'dark web' and 'privacy protection' have remained strong since around 2017 and 2018, respectively, and will exert influence on research in the field of anonymous communication in the coming period. © 2022 IEEE.

关键词： Knowledge graph

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Multi-user Power Load Forecasting Based on K-means and Deep Neural Network 3

Multi-user Power Load Forecasting Based on K-means and Deep ...

引用

3rd IEEE international conference on Electronic Technology, Communication and information, ICETCI 2023

作者： Zhang, Haitao Zhu, Chuanjing Yang, Shaochun Tianjin Richsoft Electric Power Information Technology Co. Ltd Tianjin China

ISBN: (纸本)9798350398410

Short-term power load forecasting is an important issue in power system management and planning, and is of great importance for enhancing the efficiency and stability of the power system. Traditional short-term power load forecasting systems are mostly based on historical load data of a single region or user which cannot meet the demand for load forecasting of multiple users with different electricity consumption characteristics. This paper proposes a method that integrates big data distributed computing, clustering algorithms, and deep neural networks(DNN) for preprocessing, feature extraction, classification and prediction of multi-user power load data. Firstly, we use the Spark distributed computing engine to preprocess and extract features from historical load data. Then, we use the K-means clustering algorithm to classify users into different classes based on their characteristics. Finally, we design deep neural network models for different categories, then we train, validate, and test the models with a real user load dataset from a region of China. The results show that the proposed method has high accuracy and can meet the demand for multi-user power load forecasting. © 2023 IEEE.

关键词： Forecasting

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Fast approximation algorithms for scheduling uniform parallel batch machines with processing set restrictions 3

Fast approximation algorithms for scheduling uniform paralle...

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3rd international conference on Electronic information Engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Shen, Haoxuan Fan, Lijie Li, Shuguang School of Computer Science and Technology Shandong Technology and Business University 191 Binhai Middle Road Laishan District Yantai264005 China School of Information and Electronic Engineering Shandong Technology and Business University 191 Binhai Middle Road Laishan District Yantai264005 China

ISBN: (纸本)9781510680449

We consider the problem of minimizing make span on uniform parallel batch machines where each job is only allowed to be processed on a specified subset of machines called its processing set. Batch machines have different speeds and different capacities. Each batch machine can process several jobs simultaneously as long as its capacity is not exceeded. The length of a batch is given by the largest length of all the jobs in the batch. We present a fast 9/4-approximation algorithm in O (mn) time for the case of inclusive processing sets under the speed hierarchical assumption that the higher the capabilities of machines, the higher their running speeds. Then, we give an improved algorithm to decrease time complexity from O (mn) toO((m +n log n). © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Approximation algorithms

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Improving Workstation Ergonomics using Posture Detection for Corporate Professionals 3

Improving Workstation Ergonomics using Posture Detection for...

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3rd IEEE international conference on Blockchain and distributed systems Security, ICBDS 2024

作者： Shah, Aesha Bhut, Dev Prajapati, Mansi Shah, Vatsal Mangrulkar, Ramchandra Narvekar, Meera Dj Sanghvi College of Engineering Dept. of Computer Engineering Mumbai India Dj Sanghvi College of Engineering Dept. of Information Technology Mumbai India

ISBN: (纸本)9798350354348

Extended periods of sitting in corporate environments have been known to lead to a lot of health concerns, including lower back aches and neck strain. This sedentary lifestyle not only put employees' well-being at risk but also hinders overall work efficiency and job satisfaction. These detrimental effects of prolonged sitting necessitate an intervention to mitigate these issues and enhance workplace health. The proposed application seamlessly integrates into the work environment by using camera input from the device's webcam and MediaPipe Pose for posture detection and correction. It delivers personalized prompts and reminders, fostering user awareness and enabling self-improvement. Through this comprehensive approach, which includes promoting breaks to address the detrimental effects of prolonged sitting, this solution creates a healthier and more productive workplace. Moreover, the application prioritizes user privacy by performing all computations locally on the user's device. This on-device processing not only safeguards privacy but also allows for uninterrupted operation even in the absence of an internet connection. © 2024 IEEE.

关键词： Job satisfaction

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