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检索条件"任意字段=2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022"

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Research on Power Expansion and Optimization Based on Profit and Loss Balances of Power, Peak Shaving, Power Consumption, and System Economy in data-deficient Regions 16

Research on Power Expansion and Optimization Based on Profit...

引用

16th ieee PES asia-pacific Power and Energy engineering conference, APPEEC 2024

作者： Wang, Junchai Yi, Dongying Lu, Youlin Gu, Jianwei Gao, Jie Li, SiSheng Planning and Research Institute Powerchina Zhongnan Engineering Corporation Limited Hunan Changsha China China Renewable Energy Engineering Institute Planning Department Beijing China Powerchina International Group Limited Beijing China

ISBN: (纸本)9798350386127

In response to global climate change, many countries have established ambitious carbon neutrality targets, fostering a consensus on increasing the share of renewable energy within power systems. This paper utilizes Africa as a case study due to the scarcity of power system data and examines the region's annual power supply structure, consumption patterns, load characteristics, as well as projected maximum loads and forecasts for power consumption. Through a comprehensive break-even analysis of diverse energy resources, we identify optimal supplemental power combinations. Additionally, we propose an optimization approach for economic power development that balances profit and loss in power, peak shaving, and power consumption. The system economic model adopts the comprehensive leveling power cost index considering the whole power construction and operation life cycle. It dynamically selects adjustable power sources, such as thermal power, that are not affected by meteorology. Under the premise of satisfying future system power, peak shaving, and power consumption balance, we seek to develop an expansion plan with minimal system costs to inform planning and policy-making in this research area. The research results are applied to the typical African country, Egypt, demonstrating its ability to effectively guide the formulation of its future power development planning scheme and has a good application prospect. © 2024 ieee.

关键词： data-deficient regions peak shaving Power power consumption profit and loss balance Power supply expansion and optimization The levelized cost of electricity

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OOXML Document data Recovery Algorithm Based on Confidence Subset

OOXML Document Data Recovery Algorithm Based on Confidence S...

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2022 ieee asia-pacific conference on Image Processing, Electronics and computers, IPEC 2022

作者： Simiao, Ding Computer and Information Engineering College Luoyang Institute of Science and Technology Luoyang China

ISBN: (纸本)9781665409025

This Aiming at the problem of text content data corruption in OOXML documents caused by noise errors during network transmission, this paper proposes a confidence-based document recovery algorithm. Firstly, the algorithm determines the size of the low confidence interval to be recovered by the signal noise ratio, and determines the error subset according to the confidence information provided by the physical layer. All possible combinations of the send sequence are obtained by iterating through the error pattern and extracting the character data through the inflate decompression. Finally, the least number of illegal characters is taken as the criterion to obtain the recovered document content. Simulation results show that the algorithm can effectively improve the data recovery rate of damaged documents by using the underlying confidence information. © 2022 ieee.

关键词： Recovery

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A Comparative Analysis of Joomla, Drupal, Wordpress and ***: Exploring Features, Performance, and Suitability

A Comparative Analysis of Joomla, Drupal, Wordpress and ***:...

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computer science and data engineering (csde), ieee asia-pacific conference on

作者： Ashwin Ashika Prasad Neeraj Anand Sharma Anal Kumar Department of Computer Science and Mathematics School of Science and Technology The University of Fiji Department of Computing Sciences and Information System College of Engineering Science and Technology Fiji National University

In the dynamic landscape of web development, the judicious choice of platform and structure plays a pivotal role. This comprehensive study conducts a thorough comparison of four prominent web development technologies: ***, Joomla, Drupal, and WordPress. With a primary focus on scrutinizing features, performance, and overall suitability, the research aims to provide valuable insights for developers, businesses, and decision-makers. By objectively evaluating the merits and limitations of each technology, this study seeks to empower stakeholders with essential knowledge, enabling them to make informed decisions at the onset of web development projects.

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Distributed Streaming Computing Mode Based on Fast Message Mechanism 2

Distributed Streaming Computing Mode Based on Fast Message M...

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2nd asia-pacific conference on Communications Technology and computer science, ACCTCS 2022

作者： Fei, Guan Jiangsu Automation Research Institute Lianyungang China

ISBN: (纸本)9781665400343

The computing mode of distributed streaming computing system depends on the message transmission delay between nodes. Low data processing delay and high system throughput are one of the core indexes of distributed streaming computing system. By analyzing the characteristics of streaming data, the message sending and receiving mode and message processing mode of processing nodes under the application of real-time streaming computing. This paper presents a computing mode suitable for streaming computing applications. The computing mode optimizes the way of sending and receiving data by processing nodes and improves the way of data processing. The test results show that the designed computing mode has the advantages of high data throughput and low message processing delay. © 2022 ieee.

关键词： data handling

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Improving Mergesort Performance by Optimizing Branch Prediction

Improving Mergesort Performance by Optimizing Branch Predict...

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computer science and data engineering (csde), ieee asia-pacific conference on

作者： Jonas Peeters Jan Haase Lufthansa Industry Solutions Hamburg Germany Nordakademie University of Applied Sciences Elmshorn Germany

By detecting arrays with a low degree of presort-edness, an adaptive mergesort algorithm can switch to a branch free implementation in order to reduce the runtime by up to 30% compared to traditional implementations and almost 50% compared to the mergesort based Timsort, while retaining the great performance of branch based variants on partially presorted arrays. By using a fast method of detecting the degree of presortedness, no prior knowledge about the array composition is required for the algorithm.

关键词： computer science Runtime Measurement uncertainty Adaptive arrays Switches Prediction algorithms data engineering

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Mobility Assistance for Visually Impaired Using LiDAR

Mobility Assistance for Visually Impaired Using LiDAR

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8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Gurav, Vikrant Parameshwaran, Abhinav Sherla, Kevin Vidyalankar Inst Technol Comp Engn Mumbai Maharashtra India

ISBN: (纸本)9781665495523

In this paper, we propose a mobile application which would mainly be a substitute for walking canes for the visually impaired. Using LiDAR (Light Detection and Ranging), a 3D model of the scanned environment would be constructed in real time. The user, through haptic feedback, can be aware if an obstacle exists in his view. The frequency of this haptic feedback would be inversely proportional to the distance from the obstacle. Furthermore, using a CNN model, which has an input of the spatial features and depth features of the environment, the user can identify the type of obstacle that exists in their view through synthesized speech.

关键词： computer Vision LiDAR Human-computer Interaction

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Research on Course Score Analysis Based on K-Means Clustering Algorithm 2

Research on Course Score Analysis Based on K-Means Clusterin...

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2nd asia-pacific conference on Communications Technology and computer science, ACCTCS 2022

作者： Chen, Le Li, Meihua Chen, Yiming Educational Information Technology Center Jiangxi University of Science and Technology Ganzhou China

ISBN: (纸本)9781665400343

Traditional data analysis methods can no longer meet the current demand for course score analysis. Clustering analysis is a traditional and famous data mining tool. With the rapid development of education informatization, it's inevitable that the data mining technology is applied in the education field. The principle and process of the K-means clustering algorithm is described in this paper. And evaluates and analyzes the course scores of a college based on the K-means clustering analysis algorithm, and provides a reference for teachers and students. Based on the results of cluster analysis: For teachers, hierarchical teaching and personalized guidance strategies can be adopted to implement 'precise' teaching of course knowledge points. For students, they can understand their mastery of the various knowledge points of the course, and adjust their time and energy in a targeted manner to improve learning efficiency. © 2022 ieee.

关键词： data mining

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Classifying Pitch Types in Baseball Using Machine Learning Algorithms

Classifying Pitch Types in Baseball Using Machine Learning A...

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computer science and data engineering (csde), ieee asia-pacific conference on

作者： Jacob Schuh Lan Kong Department of Computer Science and Information Technology Eastern Kentucky University Richmond KY USA

It is critically important for a college baseball team if the pitch type information is available when the characteristics of a pitch are collected. This information is typically collected by baseball specialists; however, this process can be time-consuming and error-prone due to human nature. To address this issue, multiple machine learning classifiers, including Support Vector Machine (SVM), k-nearest neighbors (kNN), Decision Tree, and Artificial Neural Network (ANN), were examined and compared. Although all tested classifiers achieved at least 0.92 in accuracy, ANN categorized the pitches with the most accuracy (0.96), precision (0.95), and recall (0.95) within a reasonable training time (85.7 seconds). In summary, ANN is the best classifier among the examined models.

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Application of the BINARMA(1,1) Model with NB Innovations on Accident data.

Application of the BINARMA(1,1) Model with NB Innovations on...

引用

8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Sunecher, Y. Univ Technol Dept Accounting Finance & Econ La Tour Koenig Mauritius

ISBN: (纸本)9781665495523

In this paper, we propose a novel non-stationary bivariate integer-valued autoregressive moving average of order one (BINARMA(1,1)) model with the pair of innovations following a joint Negative Binomial (NB) distribution that accommodates different over-dispersion indices. The model parameters are estimated using the conditional maximum likelihood (CML) estimation method based on thinning and convolution properties. Numerical experiments are also conducted to assess the performance of the CML method based on certain combinations of the model parameters. The proposed BINARMA(1,1) model is also applied on some accident data occurring on the motorway in Mauritius by showing the significant effect of the covariates on the number of accidents.

关键词： Non-stationary BINARMA(1,1) model NB Innovations CML Accident data

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Research on the Application of computer Internet Financial Sharing Technology in Enterprises

Research on the Application of Computer Internet Financial S...

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2022 ieee asia-pacific conference on Image Processing, Electronics and computers, IPEC 2022

作者： Bai, Yun Guo, Pengsong Yang, Suiming Xi'an Traffic Engineering Institute Xi'an710000 China Air Force Engineering University Xi'an710000 China

ISBN: (纸本)9781665409025

In the era of big data and Internet +, financial sharing services as a new type of financial management model are being widely accepted and applied. A financial sharing system is designed. The system uses Web services, data integration, triggers and other technologies to share various financial systems of the enterprise to ensure that the department can obtain the financial information of each enterprise at any time. The research shows that the computer financial sharing system realizes the collaborative work of various departments of the enterprise, and the practical application of enterprise network reimbursement has verified the feasibility of the system. © 2022 ieee.

关键词： Finance

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