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检索条件"主题词=Software Algorithms"

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Spruce Fitness Observation Method using IoT and Machine Learning

Spruce Fitness Observation Method using IoT and Machine Lear...

引用

International Conference on ent Computing and Control Systems (ICICCS)

作者： V. Manimegalai A. Gayathri V. Mohanapriya C. Gowtham C. Ajith Kumar S. Dhinesh Kanna Sri Krishna College of Technology Coimbatore India Bannari Amman Institute of technology Erode Tamilnadu India Electrical and Electronics Engineering Sri Krishna College of Technology Coimbatore India

Recent years have witnessed that, the Coronary pollution is remaining as the main source for the global loss of human lifestyle. The location of human resources require an immense certificate, which is generally used to deal with the knowledge obtained on particular procedures. Management and retrieval is highly considered as one of the commonly employed primary strategies. This strategy forecasts the cardiovascular diseases with an increased potential. The incorporated datasets are grouped in an extended way as a restore parameter, probably it is even used to purchase the statistics that is prepared to locate the results. In the python program, the use of a machine learning procedure to remain as a certain decision tree algorithm, and the random backwood algorithm is processed in this aspect. The most recent consequences in terms of the detection accuracy of coronary heart infection are seen by SVM (The Vector Support Device). Henceforth, the suggested structure is strongly used for detecting the coronary heart disease in advance. In comparison to the software application unit, the planned hardware requires the affected characteristics in early stages to wait for coronary heart disease [2] [9]. Moreover, the proposed technique will be particularly useful for villages with no medical services.

关键词： Heart Support vector machines Pollution Machine learning algorithms software algorithms Medical services Machine learning

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Towards a Difference Detection Algorithm Aware of Refactoring-Related Changes

Towards a Difference Detection Algorithm Aware of Refactorin...

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Brazilian Symposium on software Engineering (SBES)

作者： Fernanda Floriano Silva Eraldo Borel Evandro Lopes Leonardo Gresta Paulino Murta Computing Institute Fluminense Federal University (UFF) Niterói Rio de Janeiro Brazil Department of Statistics Fluminense Federal University (UFF) Niteroi Rio de Janeiro Brazil

During the software life cycle, artifacts change in response to both corrective and evolutive demands. These changes usually entail source-code refactorings. However, conventional diff algorithms do not precisely capture such type of changes due to missing or inefficient detection of moving blocks of code within and amongst files. This paper introduces an approach designed to support understanding how two software versions differ, even if refactoring-related changes were performed. It analyzes different granularities in order to precisely detect block moves without requiring expressive computational power. The experimental results show that our approach provides results with higher precision for both line and word granularities, if compared to conventional approaches.

关键词： Visualization software Algorithm design and analysis software algorithms Iterative methods Matched filters

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An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process

An Intelligent Monitoring Algorithm to Detect Dependencies b...

引用

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

作者： Cristina Landin Xinrong Zhao Martin Längkvist Amy Loutfi School of Science and Technology Örebro University Örebro Sweden Product Development Unit Radio Production Test Development Ericsson AB Kumla Sweden Department of Mathematical Science Chalmers University Gothenburg Sweden

Finding a balance between meeting test coverage and minimizing the testing resources is always a challenging task both in software (SW) and hardware (HW) testing. Therefore, employing machine learning (ML) techniques for test optimization purposes has received a great deal of attention. However, utilizing machine learning techniques frequently requires large volumes of valuable data to be trained. Although, the data gathering is hard and also expensive, manual data analysis takes most of the time in order to locate the source of failure once they have been produced in the so-called fault localization. Moreover, by applying ML techniques to historical production test data, relevant and irrelevant features can be found using strength association, such as correlation- and mutual information-based methods. In this paper, we use production data records of 100 units of a 5G radio product containing more than 7000 test results. The obtained results show that insightful information can be found after clustering the test results by their strength association, most linear and monotonic, which would otherwise be challenging to identify by traditional manual data analysis methods.

关键词： software testing Data analysis software algorithms Manuals Production Machine learning software

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Comparison Study between MPPTs for PV System using CS and PSO Under Partial Shading

Comparison Study between MPPTs for PV System using CS and PS...

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Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： Soumia Merah Hamza Afghoul Hadjer Chabana Djallal Eddine Zabia Department of EEA National Higher School of Technology and Engineering (ENSTI) LTSE Laboratory Annaba Algeria Department of Electrotechnics Faculty of Technology Setif University of Ferhat Abbas Setif-1 LEPCI Laboratory Algeria Department of Electrical Engineering University of Biskra LI3CUB Laboratory Biskra Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

The In the current environment, fossil-fuel-based energy generation systems are declining dramatically, due to their limited abundance and their negative impact on nature. Thus, in this study, solar is selected as the energy source for power generation, due to its ease of implementation and environmental friendliness. The non-linear characteristics of the PV system make it more difficult to attain the maximum power point (MPP). In order to test the efficiency and performance of Particle Swarm Optimization (PSO) and Cuckoo Search (CS) technique-based MPPT to track optimal power working, it is imperative to study the PV system under partial shading and standard conditions. The acquired results demonstrate the superiority of CS-based MPPT compared with PSO in terms of response speed while failing to require the exact global MPP (GMPP). The proposed system is performed using the MATLAB/Simulink software.

关键词： Simulation software algorithms software Mathematical models Steady-state Particle swarm optimization Optimization

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Statistic results of recognition structural method of written text by hand

Statistic results of recognition structural method of writte...

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International Conference on CAD Systems in Microelectronics (CADSM)

作者： Vasyl Zayats Mary Zayats Dmytro Ivanov Lviv State Institute of modern Technologies and Management Lviv Ukraine Computer Science and Information Technology Institute National University "Lvivska Polytechnica" UKRAINE Lviv Filial Soft Serve Company Lviv Ukraine

The article describes the statistical results of work of the recognizing handwritten text system. The results were obtained by using the software product which encapsulates the logic of the algorithm.

ISBN: (纸本)9789531841306

关键词： Statistics Text recognition Character recognition Handwriting recognition Authentication Vehicles Logic software algorithms Information theory Brain modeling

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Fast Estimation of Main Intermodulation Products Using Volterra Series

Fast Estimation of Main Intermodulation Products Using Volte...

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IEEE International Conference on Integrated Circuit Design and Technology (ICICDT)

作者： Josef Dobes Department of Radio Engineering Czech Technical University Praque Czech Republic

The most accurate procedure for computing the intermodulation products is to find a steady-state period of the signal, and then to determine the spectrum by means of fast Fourier transform. However, this method needs a time-consuming numerical integration over many periods of the faster signal even for accelerated extrapolation methods for determining the steady state. In the paper, an efficient method for a fast estimation of the main intermodulation products is presented. The method uses higher-order Volterra series in a simple multistep algorithm, which is compatible with a typical structure of the frequency-domain part of software tools. The method is demonstrated by an illustrative example first, which clearly shows possible incorrect interpretation of the Volterra series. Afterwards, the efficiency of the algorithm is demonstrated by a fast estimation of the main intermodulation products of a low-voltage low-power CMOS RF four-quadrant multiplier.

关键词： Steady-state Circuits Fast Fourier transforms software algorithms software tools Nonlinear equations Algorithm design and analysis Interpolation Acceleration Extrapolation

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A Fast Motion Estimation Algorithm for H.264

A Fast Motion Estimation Algorithm for H.264

引用

International Conference on Signal Acquisition and Processing, ICSAP

作者： Xiaomin Wu Weizhang Xu Nanhao Zhu Zhanxin Yang Engineering Research Center of Digital Audio and Video Ministry of Education ECDAV Beijing China

ISBN: (纸本)9781424457243;9780769539607

Motion Estimation (ME) plays an important role in digital video compression, since it can significantly affect the image accuracy and the compression ratio. Also, motion estimation process is a part of the encoder which is high complex and computation-intensive, therefore it hinders real-time applications of H.264 video compression. To reduce computational complexity and maintain the image quality, an integer pixel fast motion estimation algorithm is proposed in this paper. Combining the characters of the UMHexagonS algorithm and the EPZS algorithm, the proposed algorithm selects various searching patterns according to the motion types of the image and introduces a early-termination algorithm. Experimental results demonstrate that the proposed algorithm has less ME time than FS, UMHexagonS and EPZS algorithm with essentially the same PSNR.

关键词： Motion estimation Video compression software algorithms Video coding Hardware Motion pictures Prediction algorithms ISO standards Motion compensation Signal processing

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Research on Resource Scheduling of Computing Power Network Based on Deep Q-Network Algorithm

Research on Resource Scheduling of Computing Power Network B...

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Cloud Computing, Big Data Applications and software Engineering (CBASE), International Conference on

作者： Zhijun Wang Jingbo Zhou High Performance Computing Center Changchun Normal University Changchun China School of Electronic Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent processing of computing tasks. This article focuses on the resource scheduling problem of computing power networks, using the DQN algorithm in deep reinforcement learning to optimize resource utilization, resource mobilization rate, and reduce task loss rate, providing a solution.

关键词： Schedules Cloud computing Processor scheduling software algorithms Clustering algorithms Deep reinforcement learning Scheduling Resource management Random forests software engineering

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Using ESDA to Detect Overlapping Multi-communities

Using ESDA to Detect Overlapping Multi-communities

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International Workshop on Chaos-Fractals Theories and Applications (IWCFTA)

作者： Weihua Su Li Wang College of Computer and software TaiYuan University of Technology Taiyuan China

Traditional algorithm in Community identification take full advantage of vertex. But in these algorithms, node's aggregation characteristics are not obvious and the quantity of communities is not reasonable. The edge of the spectral decomposition algorithm (ESDA) is different from traditional method for community partition. There are four steps in ESDA: first, we translate the origin graph into line graph. Second, edge degree for 1 and the special local gathered structure are dealt by pre-processing to simplify complex networks. Third, ESDA would use the second smallest, third smallest, the special eigenvalue corresponding to eigenvector to build up coordinate system. Finally, we can identify community by using coordinate system. Experiments show that this algorithm not only make more prominent characteristics of community together and has a better effect, but also speeds up partition of community by sub-step pretreatment.

关键词： software algorithms Clustering algorithms Partitioning algorithms Eigenvalues and eigenfunctions Complex networks Educational institutions Computer networks Biological system modeling Chaos Application software

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Research and Improvement of the Wireless Sensor Network Routing Algorithm GPSR

Research and Improvement of the Wireless Sensor Network Rout...

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International Conference on Computing, Measurement, Control and Sensor Network (CMCSN)

作者： Lijuan Wang Haitao Liang Department of Computer Science and Software Engineering Taiyuan University of Technology Taiyuan China

In Wireless Sensor Network (WSN) researches, WSN routing algorithm is one of the hot issues. This article focuses on GPSR (Greedy Perimeter Stateless Routing) and uses the NS2 (Network Simulator-2) to simulate both GPSR and the improved algorithm GPSRI (GPSR-Improved). Consequently, we have compared GPSRI with GPSR in terms of important parameters, such as data transmit delay and data relay hops. The experimental results show that GPSRI can transmit data more effectively than GPSR due to reduced delay and hops. Moreover, node-disjoint multipath realization assures the reliability of the network data transmit, The void issue in GPSR is resolved effectively as well.

关键词： Routing Wireless sensor networks Delay software algorithms Routing protocols Face Algorithm design and analysis

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