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检索条件"主题词=Software Algorithms"

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Dissecting Strongly Subsuming Second-Order Mutants

Dissecting Strongly Subsuming Second-Order Mutants

引用

International Conference on software Testing, Verification, and Validation, ICST

作者： João P. Diniz Chu-Pan Wong Christian Kästner Eduardo Figueiredo Federal University of Minas Gerais Brazil Carnegie Mellon University USA

Mutation testing is a fault-based technique commonly used to evaluate the quality of test suites in software systems. It consists of introducing syntactical changes, called mutations, into source code and checking whether the test cases distinguish them. Since there are dozens of distinct mutation types, one of the most challenging problems is the high computational effort required to test the whole test suite against each mutant. Since mutation testing is proposed, researchers have presented techniques aiming at effort reduction in the phases of its process. This study focuses on the potential reduction in the number of mutants provided by a special set of mutants generated by the introduction of two syntactical changes (strongly subsuming second-order mutants). In this work, we exhaustively searched for those second-order mutants Our results show that they (i) are frequently generated by the "expression removal" mutation, (ii) are likely to be killed by the same test cases that kill their constituent mutants, and (iii) have the potential to reduce the number of mutants to be executed by about 22.3%.

关键词： software testing Conferences software algorithms software systems

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OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations

OACAL: Finding Module-consistent Specifications to Secure Sy...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Pengcheng Jiang Kenji Tei Waseda University Tokyo Japan Waseda University/ National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781728190495

Users interacting with a system through UI are typically obliged to perform their actions in a pre-determined order, to successfully achieve certain functional goals. However, such obligations are often not followed strictly by users, which may lead to the violation to security properties, especially in security-critical systems. To improve the security with the awareness of unexpected user behaviors, a system can be redesigned to a more robust one by changing the order of actions in its specification. Meanwhile, we anticipate that the functionalities would remain consistent following the modifications. In this paper, we propose an efficient algorithm to automatically produce specification revisions tackling the attack scenarios caused by weakened user obligations. By our algorithm, all the revisions would be generated to maintain the integrity of the functionalities using a novel recomposition approach. Then, the eligible revisions that can satisfy the security requirements would be efficiently spotted by a hybrid approach combining model checking and machine learning techniques. We evaluate our algorithm by comparing its performance with a state-of-the-art approach regarding their coverage and searching speed of the desirable revisions.

关键词： Degradation Machine learning algorithms software algorithms Machine learning Model checking software Security

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Tracking and detecting network traffic based on capacity data prediction

Tracking and detecting network traffic based on capacity dat...

引用

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

作者： Linwei Huang Guangzhou Huali College Institute of Computer Control Technology Guangzhou China

ISBN: (纸本)9781665427104

In order to improve the traffic tracking and monitoring ability of heterogeneous multi-core data migration network, a network traffic tracking and detection method based on capacity data prediction is proposed to construct a parameter structure model of audio and video data information collection and dynamic caching of heterogeneous multi-core data migration network traffic. Linear regression analysis and heterogeneous reorganization are used to reconstruct the time series of heterogeneous multi-core data migration network traffic, and matched filtering and time series analysis are used. The capacity data clustering model of heterogeneous multi-core data migration network traffic is established, and the spatial spectrum frequency-division feature quantity of heterogeneous multi-core data migration network traffic is extracted. The real-time prediction of heterogeneous multi-core data migration network traffic is realized through the traffic transmission channel equilibrium control method, and the transmission prediction of communication traffic is realized through the traffic feature fusion analysis. The simulation results show that the traffic tracking and detection accuracy of heterogeneous multi-core data migration network is high and the transmission reliability of the system is good.

关键词： Simulation Time series analysis Linear regression software algorithms Telecommunication traffic Streaming media Feature extraction

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The Comparison of Some Algorithm Based on Ceemdan

The Comparison of Some Algorithm Based on Ceemdan

引用

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

作者： Sijin Wang Yiran Shao Jingwen Qian Shuhan Sun Siyuan Yu School of Computer Science University of Nottingham Ningbo China Ningbo Zhejiang China Affiliated High School of South China Normal University Guangzhou Guangdong China Ningbo Huamao International School Ningbo Zhejiang China Suzhou Foreign Language School Suzhou Jiangsu China Justin-Siena High School Napa Valley California the United States of America

ISBN: (纸本)9781665427104

Stock price prediction is an indispensable part of the investment market and lots of approaches have been proposed. This article implements Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to decompose the dataset, because the time series data were usually nonlinear and nonstationary. Meanwhile, our algorithms do not have to decide the basic function. In addition, different algorithms are adopted to process different levels of Intrinsic Mode Function (IMF) in order to capture their different characteristics. In that case, a combined algorithm containing CEEMDAN, MLP-BP, LSTM/GRU and Linear Regression is used. The combined algorithm works well on Tesla’s price series from 2010 to 2020, and it can not only process the data with a high accuracy, but also has a short running time because some of the algorithms in the combination are very simple. Then the combined algorithm is adopted on a more representative dataset called S&P 500 index. It turns out it is still very accurate and fast.

关键词： Runtime software algorithms Linear regression Time series analysis Prediction algorithms Market research Indexes

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Methods and algorithms of geometric modeling of fractal structured objects

Methods and algorithms of geometric modeling of fractal stru...

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Nuraliyev Faxriddin Murodillaevich Anarova Shahzoda Amanbayevna Narzulloyev Oybek Mirzayevich Nabiyev Ilhom Sharifovich Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781665432597

This article presents methods and algorithms for geometric modeling of objects with fractal structures. Analytical equations of fractal structures were constructed using geometric shapes and their basic concepts. algorithms have been developed using methods of R-function, binomial theorem, and two-dimensional geometric transformation in the 2D plane of computer graphics. The fractal dimension of the fractal based on the Pascal triangle was determined. The expressions obtained on the basis of the developed algorithm are presented in the form of a formula. A software tool was developed based on the algorithms developed using the presented methods. This software tool allows you to automate the interior and exterior decoration, equipment and design of the room in home construction, decorating construction products with patterns, creating patterns of carpets, designing them and choosing the colors and patterns of their products. The results obtained using the software tool are presented graphically.

关键词： Visualization Information science Spirals Shape Image color analysis software algorithms Geometric modeling

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Coupled Dynamic Thermoelasticity Problem for Isotropic Bodies

Coupled Dynamic Thermoelasticity Problem for Isotropic Bodie...

引用

International Conference on Information Science and Communications Technologies (ICISCT)

作者： U.Z. Djumayozov I.M. Mukhammadiyev A.A. Kayumov R.Z. Makhmudov Samarkand branch of Tashkent University of Information Technologies Samarkand Uzbekistan

ISBN: (纸本)9781665432597

The paper considers a numerical method for solving the one-dimensional and two-dimensional coupled dynamic boundary value problem of thermoelasticity. Discrete equations are compiled by the finite-difference method in the form of explicit and implicit schemes. The solution of the explicit schemes is reduced to the recurrence relations with respect to the components of displacement and temperature. Implicit schemas are solved by iteration.

关键词： Temperature distribution software algorithms Kinematics Thermoelasticity Mathematical models software Numerical models

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Performance Metrices of Different Machine Learning algorithms

Performance Metrices of Different Machine Learning Algorithm...

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Advances in Computing, Communication Control and Networking (ICAC3N), International Conference on

作者： Riya Shatakshi Gupta Vishvashdeep Vinit Kumar CSE GCET Greater Noida India

ISBN: (纸本)9781665438124

E-mail is one of the most significant components or applications of the internet. Without e-mail, the internet would be useless. E-mail is a convenient and speedy method of communication. Email is a common way for people to exchange personal and professional information. Spam emails and non-spam emails are the two forms of emails. The purpose of spam email detection is to distinguish spam from valid e-mail. Spam is typically defined as uninvited or unwelcome email messages. The majority of spam emails contain viruses or other dangerous software that can cause computer and network malfunctions, use network bandwidth and storage space, and cause email servers to slow down. Because of the increase in the abundance of information, spam has become a big issue for internet users in recent years. Email phishing is detected and prevented using text mining techniques. Phishers trick people into providing personal information by sending fake emails and visiting fraudulent websites. Because of the increase in the volume of unwanted emails, there is an urgent need for the development of more dependable and robust email systems. Every day, email users receive hundreds of spam emails with unique content from anonymous addresses generated by robot software agents. This paperwork focusses to compare the accuracy, precision, recall, and F1 of the following algorithms: KNN, SVM. Nave bias and Random forest using emails as input.

关键词： Support vector machines Text mining Machine learning algorithms Unsolicited e-mail Text categorization software algorithms software agents

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Analysis of disconnected neural networks

Analysis of disconnected neural networks

引用

International Conference on Information Science and Communications Technologies (ICISCT)

作者： Abdimurod Eshmuradov Aybek Khaytbaev Tashkent University of information technologies named after Muhammad Al-Khwarizmi Tashkent city Uzbekistan

ISBN: (纸本)9781665432597

The article made an analysis of disconnected neural networks. The main concepts of neural networks, their characteristics, features, areas of application, the main directions of application of neural networks, the structure of neural networks, the main types of neural networks, existing problems in the field of neural networks are given. The concept of a neural network algorithm is given. The solution of the analysis of disconnected neural networks in the form of basic mathematical expressions is shown. algorithms for searching for the extremum of secondary optimization functionals are shown.

关键词： Training Heuristic algorithms Neural networks software algorithms Routing software Mobile applications

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PhysioZoo ECG: Digital electrocardiography biomarkers to assess cardiac conduction

PhysioZoo ECG: Digital electrocardiography biomarkers to ass...

引用

Computers in Cardiology (CinC)

作者： Sheina Gendelman Shany Biton Raphaël Derman Eran Zvuloni Jeremy Levy Snir Lugassy Alexandra Alexandrovich Joachim A. Behar Faculty of Biomedical Engineering Technion-IIT Haifa Israel Rambam Health Care Campus HaifaIsrael Faculty of Electrical Engineering Technion-IIT Haifa Israel Technion-IIT Technion City Haifa Israel

ISBN: (纸本)9781665467216

Introduction: The electrocardiogram (ECG) is a standard tool used in medical practice for identifying cardiac pathologies. Because the necessary expertise to interpret this tracing is not readily available in all medical institutions or at all in some large areas of developing countries, there is a need to create a data-driven approach that can automatically capture the information contained in this physiological time series. Yet, contrary to heart rate variability measures, a field which has seen the development of standards, advanced toolboxes and software, very little open tools exist for ECG morphological analysis. The primary objective of this work was to identify and implement clinically important digital ECG biomarkers for the purpose of creating a reference toolbox and software for ECG morphological analysis. Methods: The epltd algorithm was used for R-peak detection. We used a zero-phase filter with passband 0.67Hz - 100Hz to remove baseline wander and high frequency noise. We used a Notch filter at 50/60Hz to remove the power-line interference. ECG fiducial points were detected using the well-known open source wavedet algorithm. A total of 22 biomarkers were engineered including 14 extracted from intervals and segments duration and 8 from waves characteristics. Results and discussion: the result of this work consists of a Python toolbox termed “pebm” and its user interface termed “Physio'Zoo ECG” for data visualization and analysis. The software is available at *** under a GNU GPL licence. The pebm toolbox may be used to provide new physiological information on cardiac conduction as well as used as a source of readily handcrafted features for training machine learning models.

关键词： Training software algorithms Time series analysis Electrocardiography Biomarkers software Physiology

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Autonomous Inpainting Algorithm for Wire Removal from Image

Autonomous Inpainting Algorithm for Wire Removal from Image

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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Poojan Dalal Parth Kapadia Bhavik Jinjala Dhatri Pandya Sarvajanik College of Engineering & Technology Surat India SCET Surat India

ISBN: (数字)9781728185194

ISBN: (纸本)9781728185200

With the increase in digital photography methods and demand for image quality enhancement procedures, the removal of unwanted parts of an image such as hanging wires and cables remain a barrier for professional image editing tools. An appealing image with unwanted wires and cables appear disturbing to the viewer along with depreciating its morale. Although there exists manual tools for the removal of wires and cables, a novel autonomous approach for the removal of wires and cables from an image using image processing is required. Hence, this work proposes a ready-to-use algorithm that demonstrates successful in-painting for wire removal and verification on real-world images. The method readily finds and inpaints wires without requiring human efforts. Evaluation of the method on real-world images shows promising results and reliability.

关键词： Cloud computing Image processing Wires software algorithms Manuals Tools software reliability

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