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检索条件"主题词=software algorithms"

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MICVIF: an automatic unsupervised feature selection method for software defect prediction

MICVIF: an automatic unsupervised feature selection method f...

引用

International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Wenzhi Zhu Zhiqiang Li Haiyang Liu School of Compute Science Shaanxi Normal University Xi’an China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

The presence of correlated and redundant software metrics can significantly impact the performance of defect prediction models. Existing studies often rely on feature selection techniques to mitigate these issues. In this paper, an automatic unsupervised feature selection approach is proposed for software defect prediction, called MICVIF. It combines the maximum information coefficient (MIC) and variance inflation factor (VIF) techniques to automatically select useful metric subsets. MIC is used to compute the correlations between each pair of metrics to address collinearity, while VIF is employed to compute the correlations between one metric and multiple others to handle multicollinearity. Finally, we compare MICVIF with 8 competing feature selection methods across 4 supervised and unsupervised defect prediction models on 29 releases across 12 open-source software projects, and the final results validate the effectiveness of our approach.

关键词： Microwave integrated circuits Correlation software algorithms Predictive models Feature extraction Reliability engineering Prediction algorithms software software reliability software measurement

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Towards Classical software Verification using Quantum Computers

Towards Classical Software Verification using Quantum Comput...

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Quantum Communications, Networking, and Computing (QCNC), International Conference on

作者： Sebastian Issel Kilian Tscharke Pascal Debus Fraunhofer AISEC Garching Germany

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

We explore the possibility of accelerating the formal verification of classical programs with a quantum computer.A common source of security flaws stems from the existence of common programming errors like use after free, null-pointer dereference, or division by zero. To aid in the discovery of such errors, we try to verify that no such flaws *** our approach, for some code snippet and undesired behavior, a SAT instance is generated, which is satisfiable precisely if the behavior is present in the code. It is in turn converted to an optimization problem, that is solved on a quantum computer. This approach holds the potential of an asymptotically polynomial *** examples of common errors, like out-of-bounds and overflows, but also synthetic instances with special properties, specific number of solutions, or structure, are tested with different solvers and tried on a quantum *** use the near-standard Quantum Approximation Optimization Algorithm, an application of the Grover algorithm, and the Quantum Singular Value Transformation to find the optimal solution, and with it a satisfying assignment.

关键词： Quantum computing Codes software algorithms Noise Approximation algorithms Hardware Encoding software Optimization Formal verification

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Developing a New MapReduce Framework with SVM-based software Solution for Lyme Lesion Impact on Alzheimer's Disease Prevention

Developing a New MapReduce Framework with SVM-based Software...

引用

International Conference on Trends in Electronics and Informatics (ICEI)

作者： Saravanan. M.S G. Sreehitha Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences and Assistant Professor Sri Padmavati Mahila Visvavidyalayam Tirupathi Andhra Pradesh India

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

Alzheimer's disease has many symptoms to occur, one of the latest research studies identified that Lyme disease, caused by “Borrelia burgdorferi” also one of the reasons indirectly affect the neuroinflammation. The dataset used for this research study is supplied by many web sources, that are involved in feature extraction to apply on machine learning techniques for extracting meaningful knowledge. This work proposing a new MapReduce framework-based Support Vector Machine (SVM) model for better prediction of impact of Lyme on Alzheimer's disease. The MapReduce based framework using SVM model creates more impact on prediction of Alzheimer's disease at the earliest. The clinical data with images are collected from distributed environments and applied on preprocessing and feature extraction stages then applied to proposed MapReduce based SVM model for better accuracy and optimal classification for complex patters on Lyme image dataset. From these results the Alzheimer's risk factors are predicted for early treatment process. The results obtained by this study will give early decision making for highly available sources of treatment procedures and gives more insight on preventive care on each and every patient involved in diagnosis of Lyme disease prediction, lead to identify the Alzheimer's disease prediction.

关键词： Support vector machines Accuracy Machine learning algorithms software algorithms Machine learning Predictive models Feature extraction software Classification algorithms Alzheimer's disease

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Development of Signal Detection and Recognition Algorithm Using software-Defined Radio

Development of Signal Detection and Recognition Algorithm Us...

引用

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

作者： Anastasia O. Khodakova Yulia D. Naumova Sergey A. Chechenya Sergey V. Soldatkin Anton Y. Boev Konstantin V. Vorontsov Department of Formation and Processing of Radio Frequency Signals National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

The article presents an analysis of the existing algorithms used in the implementation of a receiver of multi-position signals based on SDR technology. As a result, a comprehensive approach has been developed to solve the extended task of radio monitoring, which includes not only scanning the spectrum, detecting radio emissions, determining the type of modulation and the location of the source, but also decoding the data contained in the message. To implement the SDR-based algorithm, the GNU Radio program was used, which is convenient because it allows you to build circuits using software modules.

关键词： software algorithms Circuits Signal processing algorithms Receivers software Decoding Synchronization Monitoring Signal detection software radio

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Design and Implementation of Digital Language Translation software based on LSTM Algorithm

Design and Implementation of Digital Language Translation So...

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Data Science and Network Security (ICDSNS), International Conference on

作者： Lei Yue Xuchang Vocational College of Ceramic Xuchang Henan China

ISBN: (数字)9798350373110

ISBN: (纸本)9798350373127

Translation software is one of the important bridges for global exchange and cooperation in the context of globalization. This study builds a Long Short-Term Memory (LSTM) model with Encoder-Decoder based architecture. The encoder converts the source language text into a single fixed length vector representation. The input sequence is translated into a set of vectors and the final vector are used to provide the context for decoder which translates the vectors into the target language text. In this article, we also introduced the attention mechanism for the model, so that the model can focus on the information it needs to solve the current translation problem. The experimental data analysis results show that the LSTM model based translation software designed in this paper improves the performance of multiple language pairs. Compared with traditional RNN and GRU models, the LSTM model reaches 95% of the Metric for Evaluation of Translation with Explicit Ordering (METEOR) maximum value, with the maximum translation time of 104ms, and the maximum stability of 99%.

关键词： Training Analytical models software algorithms Network security software Vectors Data models Stability analysis Long short term memory Optimization

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software Module for Analytical Assessment of Shielding Effectiveness for Multilayer Structures Made of Metal Films and Composite Materials

Software Module for Analytical Assessment of Shielding Effec...

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Sergei V. Smirnov Anton A. Ivanov Department of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

The paper presents a software module for analytical assessment of shielding effectiveness (SE) for multilayer structures made of metal films and polymer composites. In this module, the multilayer shielding structure is considered as a cascade of two-port networks with different ABCD-parameters. The calculation of SE is based on our proposed algorithm, which combines two analytical models for conducting and non-conducting shielding materials. The paper starts by describing the algorithm, development tools, architecture, and graphical user interface of the module. Then the module verification results are presented using four simple shielding structures as examples. It is shown that the average deviation between the reference $S E$ values and the results obtained in our module does not exceed 1 dB. Using the created software module, we also study multilayer structures made of thin copper films deposited on various substrates. It was found that the substrate material of the thin film shield has a negligible effect on SE. Thus, in the frequency range up to $\mathbf{5 ~ G H z}$ for two- and three-layer structures, replacement of the substrate material from the dielectric to radiation-absorbing composite with ferrite particles gave an insignificant increase of 5 dB.

关键词： Composite materials Films software algorithms Nonhomogeneous media software Dielectrics Copper

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Research on Adaptive software Development System Driven by ODBAM Tools and Network software Analysis

Research on Adaptive Software Development System Driven by O...

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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Yifan Lan School of Computing Beijing Jiaotong University Weihai China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

This paper proposes an implementation method of software interface based on functional modeling. Then according to the characteristics of SVG, the corresponding interface is automatically generated. It can effectively improve the work efficiency of developers. The generated SVG interface and JavaScript script work together to realize the full capabilities of the entire software. The main research contents include the abstraction and construction of network structure software based on agents, the adaptive and self-evolution mechanism of dynamic binding, the design and implementation of ODAM software based on organizational abstraction, the strategic expression language SADL based on self-adaptation and self-evolution and other core technologies. The system consists of ODBAM Tools, a network software analysis and development tool set, a programming tool set, and an operation support platform. An abstract interface designer allows users to intuitively specify the functional features of a software interface; it can automatically generate interfaces that match the display features of various terminals based on the functional features of the user interface. This paper uses SVG files to show the appearance of the final application interface, and uses JavaScript scripts to complete specific processing logic. With this tool, developers can write one program at a time. In this way, program interfaces are automatically generated multiple times for different devices.

关键词： Analytical models Adaptation models Adaptive systems software algorithms User interfaces Programming software systems

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Simple software for Calculating Transmission Line Parameters

Simple Software for Calculating Transmission Line Parameters

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Nikita Ju. Shaimanov Aleksey A. Kvasnikov Department of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

This paper focuses on developing a simple and user friendly software for calculating the basic parameters of transmission lines used as parts of printed circuit boards and monolithic microwave integrated circuits. First, technical requirements for the software were formulated, and a small library containing electrophysical parameters of 10 popular materials used in transmission lines was created. Subsequently, software architecture, operating algorithm, and graphical user interface were developed. Finally, the developed software was validated by calculating the characteristic impedance and effective dielectric constant for four structures of transmission lines: a microstrip line, a strip line, a coaxial line, and a slot line. It was shown that results obtained using our software are in good agreement with TX-Line and AppCAD. The average deviation in the results was $2-3 \%$ and the maximum difference did not exceed $5 \%$. The paper concludes with a description of the planned further improvements of the created software.

关键词： Technical requirements Strips software architecture software algorithms Printed circuits software performance Microwave circuits

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Optimizing software Effort Estimation Accuracy with a Machine Learning Model

Optimizing Software Effort Estimation Accuracy with a Machin...

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Emerging Technology (INCET), International Conference for

作者： D. Raghu Raman D. Santhagarooban N Sathyanarayanan Department of CSE IFET College of Engineering

ISBN: (数字)9798350361155

ISBN: (纸本)9798350361162

Accurately estimating the work required for soft-ware development is essential to success in today's fast-growing software business. Erroneous project estimates can result in project failures and overruns, which can have an impact on budgets, schedules, and client satisfaction. This research presents a novel strategy to overcome these obstacles: a heterogeneous en-semble model optimized for software effort estimating accuracy. To capitalize on the advantages of each approach and produce a more reliable estimation model, our suggested model integrates several modeling techniques, such as Use Case Point (U CP), Artificial Neural Network (ANN), and EJ. This method improves the accuracy of software effort estimation by combining multiple feature selection techniques with machine learning algorithms. Data quality evaluation, feature selection, handling of missing values, productivity analysis, and the transformation of nominal data are all included in the technique. UCP, ANN, and EJ algorithms are used to train the ensemble model. Its accuracy and performance are then evaluated and tested against ISBSG datasets. An extensive examination of the methods and techniques used in the heterogeneous ensemble model is given in this study. In the dynamic and demanding software business, we present a promising way to increase the accuracy of software effort estimation greatly by utilizing the diversity of modeling techniques.

关键词： Productivity Accuracy Machine learning algorithms software algorithms Estimation Artificial neural networks Machine learning

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Design of Hardware/software Cooperative System Based on SM2/3/4 Hybrid Encryption Algorithm

Design of Hardware/Software Cooperative System Based on SM2/...

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Artificial Intelligence, Networking and Information Technology (AINIT), International Seminar on

作者： Zhaohui Ma School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

Traditional single-cipher algorithms cannot meet the requirements in terms of security and operation speed. To address the encryption needs in the era of big data, a hardware-software codesign scheme for a high-speed hybrid encryption system based on the Chinese National Encryption Algorithm SM2, SM3, and SM4 is proposed. The underlying hardware structures of the SM3 and SM4 algorithms are optimized. Experimental results show that each algorithm circuit implemented in the system has relatively high performance. The throughput of the SM3 algorithm reaches 36.91 Gbps, and the throughput of the SM4 algorithm reaches 38.05 Gbps, the throughput of the hybrid encryption system is 33.05 Gbps. The hybrid encryption algorithm not only does not require an additional secure channel but also has a similar throughput to the SM4 algorithm, demonstrating the superiority of the proposed hybrid encryption system.

关键词： Seminars software algorithms Pipelines Big Data Throughput Data transfer Hardware

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