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检索条件"主题词=Software Algorithms"

共 12322 条记录，以下是171-180 订阅

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Super Twisting Control Strategy Implemented on a Bidirectional DISO DC-DC Converter

Super Twisting Control Strategy Implemented on a Bidirection...

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Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Amirhossein Hosseini Saeed Hosseinnataj Majid Mehrasa Jafar Adabi Dept. of Electrical Engineering Noshirvani University of Technology Babol IRAN Univ. Lille Arts et Metiers Institute of Technology Centrale Lille Junia ULR France Dept. of Electrical Engineering University of New Orleans New Orleans USA

ISBN: (数字)9798331525132

ISBN: (纸本)9798331525149

In this paper, a fast dynamic and chattering-free control strategy called super-twisting controller (STC) is introduced. The STC controller generates a proper input signal to the bidirectional dual input single output (BDISO) DC-DC converter by means of pulse width modulation (PWM) technique. There are several ports in this BDISO converter, including, a DC power source port, an energy storage port, and an output port. The particular consideration about the design of the STC controller is to force the controlled states to seek their desired values with the fastest dynamic possible along with the lowest over/undershoot in various modes, including buck, boost, and bidirectional mode. Through simulation outputs, the effectiveness of the introduced control methodology is evaluated, and its performance is compared to that of a conventionally well-tuned proportional-integral (PI) and a fixed-frequency sliding mode (FSMC) controller by means of MATLAB/SIMULINK software.

关键词： Renewable energy sources software algorithms DC-DC power converters Pulse width modulation Stability analysis software Robustness MATLAB Sliding mode control Energy storage

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NPB-PSTL: C++ STL algorithms with Parallel Execution Policies in NAS Parallel Benchmarks

NPB-PSTL: C++ STL Algorithms with Parallel Execution Policie...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Júnior Löff Renato B. Hoffmann Arthur S. Bianchessi Leonardo Mallmann Dalvan Griebler Walter Binder Faculty of Informatics Università della Svizzera italiana (USI) Lugano Switzerland Pontifical Catholic University of Rio Grande do Sul (PUCRS) Porto Alegre Brazil

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The C++ language continually evolves through formal specifications established by its standards committee, proposing new features to maintain $\mathrm{C}++$ as a relevant programming language while improving usability, performance, and portability across platforms. With the addition of parallel Standard Template Library (STL) algorithms in C++17, programmers can now leverage parallel processing capabilities via vendor-neutral parallel execution policies. This study presents an adaptation of the NAS Parallel Benchmarks (NPB)—a well-established suite of applications for evaluating parallel architectures-by porting its sequential C-style code to use C++ STL abstractions and performance-portable parallelism features. Our goals are to (1) assess the suitability of C++ STL for scientific applications like the ones in the NPB and (2) provide a comparative performance and portability of STL algorithms’ parallel execution policies across different multicore architectures (x86 and AArch64). Results indicate that the performance of parallel STL algorithms is often close to that of optimized handwritten versions (OpenMP, Intel TBB, and FastFlow) on different architectures, with notable shortfalls. Across all NPB benchmarks, the STL algorithms’ geometric mean shows sequential execution times that are between 3.76% and $\mathrm{6. 9 \%}$ higher, while parallel executions may reach a geometric mean of up to $\mathrm{2 1. 2 1 \%}$ higher execution time.

关键词： Parallel programming Multicore processing software algorithms C++ languages Benchmark testing Parallel processing Data structures Libraries Hardware Standards

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Integrating Renewable Energy Systems: A Review of Economic Strategies and algorithms

Integrating Renewable Energy Systems: A Review of Economic S...

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Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Zohreh Aghaie Joki Bijan Saina Foroughian Saeed Hasanzadeh Hamid Karimi Ali Mohammed Ridha Mustafa Habeeb Chyad Department of electrical and computer engineering Qom university of technology Qom Iran University of Al-Ameed Karbala Iraq University of Warith Al-Anbiyaa Karbala Iraq

ISBN: (数字)9798331525132

ISBN: (纸本)9798331525149

In recent years, growing environmental concerns and increasing energy demand have highlighted the importance of renewable energy sources as a sustainable and economically viable solution. One of the fundamental challenges in this field is the optimization of economic costs associated with the production, distribution, and consumption of renewable energy. This review paper examines various optimization methods for the efficient management of renewable energy-based systems. In this context, objective functions related to cost, efficiency, and energy sustainability are analyzed. Also, the methodology and techniques for solving optimization problems, including various algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and others, are explored. Additionally, recent studies on the integration of renewable energy sources such as solar, wind, hydrogen, and biomass, and their impact on reducing economic costs, are reviewed.

关键词： Renewable energy sources Wind Costs Reviews Wind energy software algorithms Simulated annealing Sustainable development software tools Genetic algorithms

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Development of an Algorithm for Intelligent Analysis of Data From a Microprocessor-Based Portable Spectrophotometer

Development of an Algorithm for Intelligent Analysis of Data...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Bekruz Z. Parmanov Fayzullo M. Nazarov Maruf R. Tojiyev Department of Management Theory and Information Security Samarkand state university named fater Sharof Rashidov Samarkand Uzbekistan Department of Artificial intelligence and Information systems Samarkand state university named fater Sharof Rashidov Samarkand Uzbekistan

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

This article is devoted to the development of a microprocessor-based portable spectrophotometer for the analysis of substances in water, the development of an algorithm for analyzing data from the device, and the writing of software based on this algorithm. In addition, the article is devoted to assessing the applicability and relevance of this device for high-quality water monitoring. The article presents a structural diagram and an optical system diagram of a microprocessor-based portable spectrophotometer. In addition to the microcontroller, the portable device also uses at least two logical modules: a servo drive and a Bluetooth module. The principle of operation of the device's microcontroller is presented in the form of a structural diagram, the entire developed algorithm is divided into two main stages - a preparatory cycle and the main cycle in which samples are studied. A special algorithm has been developed that allows remote control of the spectrophotometer. In addition, the algorithm for intelligent data analysis has several operating modes and a calibration mode.

关键词： Data analysis Microcontrollers software algorithms Writing Search problems software Optical receivers Water monitoring Servomotors Remote control

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Data Frequency Coverage Impact on AI Performance

Data Frequency Coverage Impact on AI Performance

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IEEE International Conference on software Testing Verification and Validation Workshop, ICSTW

作者： Erin Lanus Brian Lee Jaganmohan Chandrasekaran Laura J. Freeman M S Raunak Raghu N. Kacker D. Richard Kuhn National Security Institute Virginia Tech Arlington VA USA Sanghani Center for Artificial Intelligence & Data Analytics Virginia Tech Arlington VA USA Information Technology Lab National Institute of Standards and Technology MD USA

ISBN: (数字)9798331534677

ISBN: (纸本)9798331534684

Artificial Intelligence (AI) models use statistical learning over data to solve complex problems for which straightforward rules or algorithms may be difficult or impossible to design; however, a side effect is that models that are complex enough to sufficiently represent the function may be uninterpretable. Combinatorial testing, a black-box approach arising from software testing, has been applied to test AI models. A key differentiator between traditional software and AI is that many traditional software faults are deterministic, requiring a failureinducing combination of inputs to appear only once in the test set for it to be discovered. On the other hand, AI models learn statistically by reinforcing weights through repeated appearances in the training dataset, and the frequency of input combinations plays a significant role in influencing the model’s behavior. Thus, a single occurrence of a combination of feature values may not be sufficient to influence the model’s behavior. Consequently, measures like simple combinatorial coverage that are applicable to software testing do not capture the frequency with which interactions are covered in the AI model’s input space. This work develops methods to characterize the data frequency coverage of feature interactions in training datasets and analyze the impact of imbalance, or skew, in the combinatorial frequency coverage of the training data on model performance. We demonstrate our methods with experiments on an open-source dataset using several classical machine learning algorithms. This pilot study makes three observations: performance may increase or decrease with data skew, feature importance methods do not predict skew impact, and adding more data may not mitigate skew effects.

关键词： Training Hands Machine learning algorithms Statistical learning software algorithms Training data Data models Frequency measurement software measurement Artificial intelligence

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Development of LoRa Communication System Generator Simulation Model

Development of LoRa Communication System Generator Simulatio...

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Systems of Signals Generating and Processing in the Field of on Board Communications

作者： Konstantin Yu. Ryumshin Angela I. Sattarova Alexey P. Zhuravlev Vladimir E. Rusanov Lev M. Kazadaev Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Today LoRa data transmission technology is gaining more and more popularity among Internet devices for collecting information and communication. The main purpose of LoRa technology is to collect simple information in small packets transmitted at a low speed. Information is collected from various sensors and devices located within the range of the main receiver. This technology complements Wi-Fi. It is suitable for applications with a long range, low transmission speed and power consumption. WiFi provides a short range, low speed and power consumption. LoRa technology is constantly being improved, in connection with which monitoring radio networks built on its basis is of current importance for implementation and study (during the educational process). Modeling of radio communication algorithms in LoRa data transmission technology is one of the important research areas for the development of radio networks of this type. In this regard, this paper develops software that generates files of digital readings of the LoRa radio signal quadratures.

关键词： Underwater communication Power demand software algorithms LoRa software Radio networks Wireless fidelity Standards Spectrogram Radio spectrum management

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Smart Resume Analyzer: An Automated Approach for Recruitment Process

Smart Resume Analyzer: An Automated Approach for Recruitment...

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Pervasive Computational Technologies (ICPCT), International Conference on

作者： Kajal Rai Pawan Kumar Dept. of MCA GL Bajaj Institute of Technology and Management Greater Noida Uttar Pradesh India School of Computer Applications Lovely Professional University Phagwara Punjab India

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

This work presents an automated Resume Analyzer system to streamline the initial resume screening process. Designed to alleviate recruiters’ workloads, the system extracts key resume details—such as name, contact information, experience, and qualifications—without manual input. This system leverages Natural Language Processing (NLP) and text mining. A novel scoring mechanism evaluates resumes based on the presence of essential elements like declarations, interests, and skill sets. This web tool provides a resume score which is used by organization and applicants to review about it. This tool allows recruiters to assess resumes in PDF with a rating rapidly, saving them both time and effort. The SVM algorithm outperformed kNN, Naïve Bayes, Decision Tree and Random Forest.

关键词： Text mining Support vector machines Automation Translation Resumes Employment software algorithms Natural language processing software tools Python

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Securing IoT-enabled Metaverse with Authentication and Threat Classification Framework Using DL

Securing IoT-enabled Metaverse with Authentication and Threa...

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International Symposium on Advanced Computing and Communication (ISACC)

作者： Krisha Darji Chinmay Trivedi Rajesh Gupta Fenil Ramoliya Sudeep Tanwar Smita Agrawal Dept. of Comp. Science & Engg. Institute of Tech. Nirma University Ahmedabad India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

In the current technological landscape, the rise of Web 3.0 is notable. Alongside this, immersive technologies like Virtual Reality (VR) and Augmented Reality (AR) are gaining increased popularity. This is due to idea like the Metaverse, which is a spatial computing platform that offers virtual experiences replicating real environments. However, Metaverse also faces security vulnerabilities, such as the risk of identity theft, financial fraud, and the damage of virtual assets due to the public openness of the platform. To mitigate these paramount concerns, there has to be a robust user authentication and verification approach before granting access to these domains. We propose a Convolutional Neural Networks (CNN)-based approach, i.e., MetaSec, which focuses on analyzing incoming user traffic patterns to identify any anomaly in the Internet of Things (IoT)-enabled Metaverse environment. The performance evaluation of MetaSec has been done using various optimization algorithms such as Stochastic Gradient Descent (SGD), Adam, RMSprop, and Adagrad. The main goal of rigorous assessment is to identify the most effective optimization approach for enhancing virtual network security. Thus, MetaSec proactively uncovers potential susceptibility and minimises the risk of intrusion and harm to critical resources. These hardware and software plug-in ranges from computer systems, networks, databases, websites, and other network-based applications and services applied in the virtual domain.

关键词： Semantic Web Accuracy Metaverse software algorithms Authentication Traffic control software Spatial computing Convolutional neural networks Optimization

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Information Technology Solutions in the Romanian Tree Inventory Research: A Review

Information Technology Solutions in the Romanian Tree Invent...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Tamás Zoltán Zakota József Fogarasi Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Keleti Károly Faculty of Business and Management Óbuda University Budapest Hungary Faculty of Economics and Social Sciences Partium Christian University Oradea Romania

ISBN: (数字)9798350379365

ISBN: (纸本)9798350379372

This paper aims to provide a wide overview of the Romanian tree inventory publications, especially those focusing on the information technology (IT) solutions applied in this field during the last two decades. Accordingly, we are investigating the publications on artificial intelligence and machine learning models, algorithms and software, as well as on computational intelligence and biodiversity. In addition, we are interested on the environmental methodologies applied in these publications like biodiversity and ecosystem services evaluations. We are also collecting data about the experiences of using remote sensed data, different algorithms, methodologies and hardware in forestry publications that possibly could be used in our further research. Our paper shows that even software originally used for different occasion like CDendro for dendrochronological studies have the possibility to get involved in urban forestry research.

关键词： Machine learning algorithms Reviews software algorithms Vegetation Forestry software Sensors Biodiversity Information technology Remote sensing

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Single Stage Differential Inverter Based on Single-Ended Primary- Inductor Converter Connected to A Photovoltaic System

Single Stage Differential Inverter Based on Single-Ended Pri...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Mohamed A. Ismeil Abdelfatah Ali Mostafa F. Shaaban Engineering Department Faculty of Engineering King Khalid University Abha Saudi Arabia Electrical Engineering Department Faculty of Engineering South Valley University Qena Egypt Department of Electrical Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Many researchers have turned to using a single-stage inverter because of its advantages, including low cost and simple control. The Single-Ended Primary-Inductor Converter (SEPIC) was selected, which was used in DC-DC circuits, and the switching operation was modified to be used in a DC-AC inverter. Three modules of SEPIC have been used. The connecting of the three modules by differential way eliminates any DC components and leaves only the AC components. The AC three phase (current /voltage) has been obtained by feeding the SEPIC switches with three sine modulation index shifting 120 degrees. The whole system is powered by PV panels, taking into account the choice of an efficient method to track the maximum power. The system has been validated by PSIM software.

关键词： Maximum power point trackers Photovoltaic systems Voltage source inverters software algorithms Modulation Switching loss software Topology Stress Switching circuits

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