Scientific research increasingly relies on distributed computational resources, storage systems, networks, and instruments, ranging from HPC and cloud systems to edge devices. Event-driven architecture (EDA) benefits ...
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RPA is a business process automation software that is able to perform assigned tasks efficiently. It is easy to control and can reduce human errors, promoting RPA has greater automated roles incompatible and humane wo...
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ISBN:
(纸本)9781665494755
RPA is a business process automation software that is able to perform assigned tasks efficiently. It is easy to control and can reduce human errors, promoting RPA has greater automated roles incompatible and humane work, leading to a number of organizations have turned their attention to RPA. Therefore, this project aims to survey the RPA users and their attitudes on implementation. To examine the average of the statically behavioral impacted factors of the potential influence of RPA in organizational implementation and propose guidelines for applying RPA to organizations in the future. This project applies a questionnaire as a tool to collect data. There was a sample group of businesses that applied RPA in the organization in Thailand. 640 samples the dataanalysis was done by quantity method, frequency, percentage (%), mean and standard deviation. By using the ready-made statistical program SPSS to analyze the values. The results show that the sample is likely to continue to adopt RPA and it is expected that organizations will have higher application of RPA technology in the future.
Big data is both an advantage and a challenge due to the explosive increase in the volume of large data sets. Big dataanalysis derives knowledge to improve business processes and can be critical in decision making. H...
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ISBN:
(数字)9798350392166
ISBN:
(纸本)9798350392173
Big data is both an advantage and a challenge due to the explosive increase in the volume of large data sets. Big dataanalysis derives knowledge to improve business processes and can be critical in decision making. However, for this purpose, the right strategies need to be implemented. This document provides an overview of the key concepts, issues and challenges in integrating big data with business processes.
This article serves as a position paper that explores the complex issue of traffic management in smart cities and the challenges it presents. The problem of urban traffic is particularly relevant in our modern world, ...
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In order to ensure the confidence of hardware-in-the-loop(HWIL) simulation results, the simulation equipment and system are required to simulate the realistic flight environment;However, the additional error introduce...
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The detection and monitoring of oil-gas-water three-phase flow is a hot and difficult topic in oil-gas well industry. Concentrating on combining the three sub-states of oil, gas and water to form a whole flow state, a...
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ISBN:
(纸本)9798350380903;9798350380910
The detection and monitoring of oil-gas-water three-phase flow is a hot and difficult topic in oil-gas well industry. Concentrating on combining the three sub-states of oil, gas and water to form a whole flow state, a monitoring framework based on partial representation is proposed. In this framework, a differential pressure (DP) -pulse wave ultrasonic Doppler (PWUD) system is designed for obtaining information of three-phase structure and the intrinsic relationships among different phases, so as to accurately characterize the sub-states of oil, gas and water. Some information approaches such as Variational Mode Decomposition (VMD) and statistics method are applied to detection signal analysis to further realize the conversion of data to features. On the basis of obtained state features, the parts-based Nonnegative Matrix Factorization (NMF) is adopted to model and monitor the flow states in oil-gas-water flow process. The proposed novel scheme about partial representation-based horizontal oil-gas-water flow state monitoring via dual-modal detection is verified by dynamic experiments on three-phase flow loop at Tianjin University.
Unmanned Aerial Vehicles (UAV) equipped with various sensors can efficiently and safely perform automated detection of overhead power lines. Deep learning-based image recognition technology plays a crucial role in thi...
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The proceedings contain 507 papers. The topics discussed include: a novel digital energy management control strategy of a fully active hybrid converter for unmanned aerial vehicle applications;a converter based switch...
ISBN:
(纸本)9781665475396
The proceedings contain 507 papers. The topics discussed include: a novel digital energy management control strategy of a fully active hybrid converter for unmanned aerial vehicle applications;a converter based switching loss measurement method for WBG device;coupled inductor based non-isolated high conversion ratio boost extender;design and implementation of a multiport system for solar EV applications;a power boost technique for the isolated modular multilevel DC-DC converter based on sub-module capacitor voltages ripple;frequency response characterization of high-bandwidth current viewing resistors used in dynamic testing of power semiconductors;loss estimation and design of dc-dc converters using physics- and data-based component models;modeling non-linearities of power electronic converters using artificial neural networks;novel Gerber file-based numerical modeling and simulation for thermal analysis of printed circuit boards;an empirical capacity estimation model for lithium-ion battery cells using surface temperature and terminal voltage measurements;and a line-frequency transformer-less high frequency medium voltage PV grid connected inverter with extended high voltage gain range.
The aim of the work is a comparative analysis of investment portfolios built based on stochastic modeling. We obtained actual stock price data of 80 Russian companies traded on the Moscow Stock Exchange for the last s...
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As smart grids continue to evolve at a rapid pace, huge amounts of power data have been collected by various devices in different locations. These enormous power data are of significant research and application value ...
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