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检索条件"主题词=Software Algorithms"

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Evaluation of algebraic graph clustering algorithms for complex networks

Evaluation of algebraic graph clustering algorithms for comp...

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International Informatics and software Engineering Conference (UBMYK)

作者： Kayhan Erciyes Maltepe University Istanbul Turkey

We review main graph clustering algorithms which are MST-based, Shared Nearest Neighbor and Edge-Betweenness algorithms and show novel algebraic graph implementations using Python. We compare them using randomly gener... 详细信息

ISBN: (纸本)9781665407601

关键词： software algorithms Clustering algorithms Complex networks Parallel processing Informatics software engineering Python

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Fourier Transform and Probabilistic Neural Network based Fault Detection in Distribution System Containing DGs

Fourier Transform and Probabilistic Neural Network based Fau...

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Innovations in Power and Advanced Computing Technologies (i-PACT)

作者： Nilesh Chothani Ishan Desai Gujarat Technological University Ahmedabad India

ISBN: (纸本)9781665426923

The protection relay may mal-operate with the penetration of distributed generation sources (DGs) in the distribution network. Classification of Fault is an important task for isolating the faulty section from distribution network on time. This paper represents a new combined approach of Discrete Fourier Transform (DFT) and Probabilistic Neural network (PNN) for the task of fault classification. Distribution network is modelled in PSCAD software in presence of multiple DGs. The DFT and PNN algorithm employed to classify the fault is coded in MATLAB software. Various fault cases are simulated to verify the validity of proposed scheme in different operating scenario. Moreover, various loading conditions are performed in presence of DGs and islanding conditions in presence of DGs. The result in term of fault classification precision proves that the proposed algorithm is competent to detect fault condition with better efficacy.

关键词： Discrete Fourier transforms software algorithms Loading Distribution networks Probabilistic logic software Distributed power generation

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Research on ant colony optimization network access algorithm based on model of vehicle fog calculation

Research on ant colony optimization network access algorithm...

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Big Data & Artificial Intelligence & software Engineering (ICBASE), International Conference on

作者： Weimin Gan Juan Li Yan Guo Institute of GuangZhou Guangzhou China Guangzhou City Construction Vestibule School Guangzhou China Senior high school Hefei Thomas School Hefei China

ISBN: (纸本)9781665427104

Today, the development of in-vehicle networks, the realization of intelligent vehicle connectivity, and the improvement of urban traffic safety, traffic congestion, energy and environmental protection, etc., are various social problems that we urgently need to solve. At present, the communication mechanism in terms of in-vehicle cloud service architecture and in-vehicle edge computing cannot meet the needs of business growth in the 5G era. This paper mainly studies the new optimization ideas based on the network access part of the vehicle fog calculation model. Based on the ant colony optimization algorithm, how to choose more effective nodes as the relay nodes of the network access part, so that the network resources can be effectively used, such as increasing the resource bandwidth available at the edge of the network is to avoid congestion problems as much as possible, which greatly relieves the pressure of computing and data processing in the cloud.

关键词： Ant colony optimization Computational modeling Atmospheric modeling Clouds software algorithms Bandwidth Stability analysis

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EHDSktch: A Generic Low Power Architecture for Sketching in Energy Harvesting Devices

EHDSktch: A Generic Low Power Architecture for Sketching in ...

引用

Asia and South Pacific Design Automation Conference

作者： Priyanka Singla Chandran Goodchild Smruti R. Sarangi Indian Institute of Technology Delhi New Delhi India University of Freiburg Freiburg Germany

ISBN: (数字)9781450379991

ISBN: (纸本)9781728180571

Energy harvesting devices (EHDs) are becoming extremely prevalent in remote and hazardous environments. They sense the ambient parameters and compute some statistics on them, which are then sent to a remote server. Due to the resource-constrained nature of EHDs, it is challenging to perform exact computations on streaming data; however, if we are willing to tolerate a slight amount of inaccuracy, we can leverage the power of sketching algorithms to provide quick answers with significantly lower energy *** this paper, we propose a novel hardware architecture called EHDSktch – a set of IP blocks that can be used to implement most of the popular sketching algorithms. We demonstrate an energy savings of 4-10X and a speedup of more than 10X over state-ofthe-art software implementations. Leveraging the temporal locality further provides us a performance gain of 3-20% in energy and time and reduces the on-chip memory requirement by at least 50-75%.

关键词： Performance evaluation Memory management software algorithms Performance gain software System-on-chip Energy harvesting

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Tuning of PID Controller Using Different Optimization algorithms for Industrial DC Motor

Tuning of PID Controller Using Different Optimization Algori...

引用

Advance Computing and Innovative Technologies in Engineering (ICACITE), International Conference on

作者： Mokhtar Shouran Monier Habil College of Electronic Technology Libya Wolfson Centre for Magnetics Cardiff University Cardiff United Kingdom Waha Oil Company Tripoli Libya

ISBN: (纸本)9781728177427

This paper investigates the application of different optimization techniques to tune the parameters of Proportional Integral Derivative control (PID). The investigated system in this research is the DC motor which extensively utilized in many engineering applications. The main aim of this work is to control the speed and position of the DC motor using PID controller tuned by different algorithms. The proposed algorithms that are used to find the optimal gains of the PID controller are Bees Algorithm (BA), Particle swarm optimization (PSO), and teaching learning-based optimization (TLBO). This research is carried out using the Simulink and Command window environments provided in MATLAB software. The simulation results demonstrate that the responses of DC motor obtained from applying the PID tuned by TLBO shows satisfactory control performance in terms of overshoot, rise time, and settling time.

关键词： software packages Simulation software algorithms DC motors Steady-state Mathematical model Particle swarm optimization

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Design of target positioning system for monocular vision manipulator based on neural network

Design of target positioning system for monocular vision man...

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Telecommunications, Optics and Computer Science (TOCS), IEEE Conference on

作者： Jiongkun Yang Yueming Chen Yuxin Liu Guosen Xian Qi Yan Xi’Ai Chen School of Mechanical and Electrical Engineering China Jiliang University Hangzhou China School of Metrological Test Engineering China Jiliang University Hangzhou China

ISBN: (纸本)9781665424998

a target space positioning system based on target detection for monocular camera manipulator was developed in this research. The system uses EdgeBoard embedded AI computing card as the core controller, adopts Linux operating system, and using Paddle-Lite architecture under Linux system to predict the deployment of target detection neural network. The control core of the drive part is ESP32, using OV2640 camera module and PCA9685 as system input and output modules. Communication between upper and lower computers adopts UDP and TCP network communication protocols. Target recognition uses mobilenet-ssd neural network based on paddle framework. The robotic arm system calculates the posture of the robotic arm by establishing a spatial D-H coordinate system. According to the position of the target output by the neural network, inversely calculate the spatial position of target through multiple spatial positioning of the robotic arm. It can realize the task of grabbing and categorizing the target.

关键词： Training Robot kinematics Linux Neural networks software algorithms Object detection Manipulators

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Application of Neural Networks in the Tasks of Automation at Industrial Enterprises

Application of Neural Networks in the Tasks of Automation at...

引用

IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

作者： Aigul K. Petrova Alexander M. Sinitca Saint Petersburg Electrotechnical University "LETI" St. Petersburg Russia

ISBN: (数字)9781665404761

ISBN: (纸本)9781665446426

Currently, it is becoming relevant to use modern data analysis tools for automation of processes at industrial enterprises. One such tool is neural networks, which are heavily used in areas where forecasting and deep understanding of data are required. This article discusses the possibility of using neural networks in the tasks of monitoring and predicting gas imbalance in gas distribution systems. An algorithm for collecting and processing data is proposed, a mechanism for training neural networks and generating predictive values is disassembled, directions for further development of this topic are proposed.

关键词： Training Automation Neural networks software algorithms Tools software Task analysis

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Formant set as a main parameter for recognizing vowels of the Uzbek language

Formant set as a main parameter for recognizing vowels of th...

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Malika Abdullaeva Ilyos Khujayorov Mannon Ochilov Computer Systems Tashkent University of Information technologies named after Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781665432597

The article highlights the applications of the algorithm for speech signal recognition using a formant set. A description of the formation of the speech signal by the human articulating apparatus is given. The influence of the human speech apparatus organs on the formant parameter is also described. The Linear Prediction Method (LPC) is used for determining the formant set in order to identify the peaks on the spectral diagram of the original signal. The paper presents the formant set for the Uzbek vowels pronounced by several speakers of the same age category with different genders after cochlear surgery. Based on the formant set graphs are constructed and classification problems over them are solved using machine learning algorithms such as K-Nearest Neighbors, Random Forest, Support Vector Machines. The scientific paper consists of a comparative analysis of the three main classification methods on such a priority parameter as recognition accuracy in order to simplify the process of speech signal recognition. The results of the classification revealed that the recognition of Uzbek vowel letters on the basis of the formant set is achieved using KNN and is 95%.

关键词： Machine learning algorithms software algorithms Surgery Support vector machine classification Speech recognition Prediction methods Prediction algorithms

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Simulation and verification of pedestrians in asymmetric funnel-shaped bottlenecks based on Pathfinder

Simulation and verification of pedestrians in asymmetric fun...

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Urban Engineering and Management Science (ICUEMS), International Conference on

作者： Weibin Ma Zhiwei Wang Hongliang Pan State Key Laboratory for Track Technology of High-speed Railway Railway Construction Institute Beijing China University of Science and Technology of China Hefei China

Bottlenecks are common in pedestrian facilities and prone to congestion. An observation experiment was conducted at the asymmetric bottleneck to study pedestrians' movement. We constructed the simulation by Pathfinder to make comparison and further study the influence of bottleneck angles by simulation results. It is found Pathfinder can simulate the evacuation at the asymmetric bottleneck based on similar efficiency and congestion. However, the difference exists in the trajectory and speed fluctuation for the simulation. Adding the funnel-shaped zone before the exit in the asymmetric bottleneck can improve the evacuation efficiency and reduce congestion and the angle 45° performs the best according to the simulation. These results have a reference for the improvement of evacuation efficiency in the asymmetric bottleneck and reflect the effectiveness and problems of the simulation software Pathfinder.

关键词： Fluctuations Simulation software algorithms software Data models Trajectory Data mining

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Comparing Grover’s Quantum Search Algorithm with Classical Algorithm on Solving Satisfiability Problem

Comparing Grover’s Quantum Search Algorithm with Classical ...

引用

IEEE Integrated STEM Education Conference (ISEC)

作者： Runqian Wang Princeton International School of Math and Science USA

ISBN: (纸本)9781665413848

The emergence of quantum computing provides us the possibility of solving tasks that might take years classically in just a few minutes. For certain problems, quantum computing exhibits quantum supremacy, meaning that the quantum solution runs exponentially faster than classical algorithms and is able to completely take over classical computers. This high efficiency of quantum computing comes not only from the hardware but also the software, quantum algorithms. The algorithms utilize the qubits to make calculations in order to fulfill specific tasks with the lowest time complexity possible. One such algorithm is named the Grover’s algorithm, which is able to perform database search in $\mathcal{O}(\sqrt{N})$, and it runs much faster than the traditional algorithm that takes $\mathcal{O}(N)$ time to solve the same task. For example, when the task is to find the even integers from N integers, traditional computation will need to run through all of the N integers one by one, making at least N steps of calculation, while by using Grover’s algorithm only around $\sqrt{N}$ calculations are needed. This exponential speed-up makes Grover’s algorithm one of the most important quantum algorithms. Grover’s algorithm has a wide application in many fields and is able to improve the time complexity exponentially. One task that can be solved using Grover’s algorithm is the satisfiability problem. This type of problem asks the computer to find a set of values (commonly true or false) for several variables such that they satisfy certain constraints. We use k-SAT problems to refer to satisfiability problems with k boolean variables to be determined. Grover’s algorithm can effectively solve the k-SAT problem by performing the database search on $2 ^{N}$ possible states of the variables. The algorithm’s square root optimization on searching helps to improve the efficiency of this solution significantly. Furthermore, this optimization of Grover’s algorithm may play a more important role

关键词： Computers Quantum algorithm Databases software algorithms Qubit Search problems software

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