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检索条件"主题词=software algorithms"

共 12474 条记录，以下是401-410 订阅

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Computational Science and Intelligence Programming in Business with Genetic, Generic algorithms and AI software Products: An Adaptive Algorithmic Approach

Computational Science and Intelligence Programming in Busine...

引用

International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Anastasia-Dimitra Lipitakis Evangelia A.E.C. Lipitakis Department of Informatics and Telematics Harokopio University Athens Hellas Kent Business School University of Kent Canterbury England

ISBN: (数字)9781728155845

ISBN: (纸本)9781728155852

In this research study the topic of Artificial Intelligence and Business is examined. AI methodologies and their usage in several organizations in various applications concerning staffing, careers etc. and hiring predictions are discussed. The concept of genetic and generic algorithms with their several important aspects are discussed and various related applications in a wide spectrum of topics are presented. Various genetic programming implementations with the corresponding related software products are given and several AI software packages, genetic algorithmic methodologies and related applications are presented.

关键词： Genetic algorithms Genetic programming Sociology Statistics software algorithms Artificial intelligence

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Performance assessment of baseband algorithms for direct conversion tactical software defined receivers: I/Q imbalance correction, image rejection, DC removal, and channelization

Performance assessment of baseband algorithms for direct con...

引用

MILCOM, Military Communications Conference

作者： M.K. Nezami Raytheon Company Saint Petersburg FL USA

This paper addresses issues relating to software-defined receivers. Namely radio frequency (RF) to baseband architectures and the signal processing algorithms involved. Several direct conversion receiver architectures are introduced and analyzed for their performance. Issues relating to the quadrature imbalances and DC offset impairments are analyzed and detailed. To estimate and compensate for these impairments, several DSP algorithms are proposed and simulated for use with these receivers.

关键词： Baseband software algorithms Image converters software performance Signal processing algorithms Receivers Radio frequency Computer architecture Performance analysis Digital signal processing

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A User Evaluation of Process Discovery algorithms in a software Engineering Company

A User Evaluation of Process Discovery Algorithms in a Softw...

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International Conference on Enterprise Distributed Object Computing (EDOC)

作者： Simone Agostinelli Fabrizio Maria Maggi Andrea Marrella Fredrik Milani Sapienza Universita di Roma Rome Italy University of Tartu Tartu Estonia

Process mining methods allow analysts to use logs of historical executions of business processes in order to gain knowledge about the actual behavior of these processes. One of the most widely studied process mining operations is automated process discovery. An event log is taken as input by an automated process discovery method and produces a business process model as output that captures the control-flow relations between tasks that are described by the event log. In this setting, this paper provides a systematic comparative evaluation of existing implementations of automated process discovery methods with domain experts by using a real life event log extracted from an international software engineering company and four quality metrics: understandability, correctness, precision, and usefulness. The evaluation results highlight gaps and unexplored trade-offs in the field and allow researchers to improve the lacks in the automated process discovery methods in terms of usability of process discovery techniques in industry.

关键词： Companies Systematics Tools Complexity theory software algorithms Data mining

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Improving the Efficiency of software Defined Network through Load Balancing algorithms

Improving the Efficiency of Software Defined Network through...

引用

Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), International Conference on

作者： B Rukmini Bhat N S Sneha Keerthana Bhat Chaithra C Kamath Chaitha Naik Shri Madhwa Vadiraja Institute of Technology & Management Udupi India

ISBN: (数字)9781665419604

ISBN: (纸本)9781665429986

In this current era, usage of the internet is increasing drastically. Digitization has led to high network traffic which makes the overall management of network highly complex and expensive as traditional networks are non-programmable. As a solution for these issues in traditional networks, software Defined Networking (SDN) has been introduced. SDN decouples the data plane and control plane, thereby making the network programmable. Load balancing in SDN is done to ensure effective management of resources as per client's request. This paper focuses on the effect of Load balancing on SDNs. Here, RTT is calculated for two cases. One, with application of least connection and Dijkstra algorithms and the other, without applying the algorithm. The result is compared to justify the efficiency improvement. We evaluate our system using mininet network emulator and the results demonstrate the feasibility and efficiency of our proposed scheme in terms of delay and overhead.

关键词： software algorithms Telecommunication traffic Load management Real-time systems Servers software defined networking Standards

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Knowledge-based software testing agent using evolutionary learning with cultural algorithms

Knowledge-based software testing agent using evolutionary le...

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Congress on Evolutionary Computation

作者： D.A. Ostrowski R.G. Reynolds Scientific Research Laboratory Ford Motor Company Limited Dearborn MI USA Department of Computer Science Wayne State University Detroit MI USA

software testing is extremely difficult in the context of large scale engineering applications. We suggest that the application of the white and black box testing methods within a cultural algorithm environment will present a successful approach to fault detection. In order to utilize both a functional approach and a structural approach, two cultural algorithms will be applied within this tool. The first cultural algorithm will utilize the black box testing by learning equivalence classes of faulty input/output pairs. These equivalence classes are then passed over to the second cultural algorithm that will apply program slicing techniques to determine program slices from the data. The goal will be to pinpoint specific faults within the program design. Through the searching of the program code, this approach can be considered as behavioral mining of a program.

关键词： software testing Cultural differences software algorithms System testing Large-scale systems Application software Laboratories Programming software maintenance software systems

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Search-Based software Testing Driven by Bioinspired algorithms: A Systematic Literature Mapping

Search-Based Software Testing Driven by Bioinspired Algorith...

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International Conference in software Engineering Research and Innovation (CONISOFT)

作者： Joshua E. Hernández-Suárez Mario A. Jiménez-Jiménez Saúl Domínguez-Isidro Jorge Octavio Ocharán-Hernández Facultad de Estadistíca e Informática Universidad Veracruzana Xalapa México

ISBN: (数字)9798331532116

ISBN: (纸本)9798331532123

Bioinspired algorithms have gained relevance in Search-Based software Testing (SBST) mainly because they can find multiple solutions to difficult-to-solve problems. Exploring the usage trends and elements of its implementation is necessary for software engineering since it allows for understanding the area's current state and proposing guidelines for innovation. We proposed a Systematic Literature Mapping to analyze the canonical bioinspired algorithms used in SBST. During the mapping conduction, 60 studies were analyzed, in which bio-inspired algorithms were used in different software testing activities, such as test data generation, test case generation, test case prioritization, and others. The practical implications of our research are significant. The most commonly applied bioinspired algorithms in these activities are the Genetic Algorithm, Particle Swarm Optimization, and Ant Colony Optimization. Concerning problem types, most of these algorithms are focused on single-objective, with or without constraints, and, to a lesser extent, multi-objective and phased problems. According to the results, SBST driven by bio-inspired algorithms favors variables such as execution time and computational cost. Code coverage is usually used as a performance metric to evaluate its effectiveness. The application of canonical bioinspired algorithms mainly seeks to solve single-objective problems.

关键词： software testing Measurement Technological innovation Systematics Codes software algorithms Data collection Computational efficiency Genetic algorithms software engineering

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Applicability of Process Discovery algorithms for software Organizations

Applicability of Process Discovery Algorithms for Software O...

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Euromicro Conference on software Engineering and Advanced Applications (SEAA)

作者： Burcu Akman Onur Demirörs STM A Ş Ankara Turkey Informatics Institute METU Turkey

Process modeling is one of the most significant tasks software process improvement teams perform. Conventionally modeling is performed by teams composed of domain experts and process engineers and it takes considerable effort and time. In recent years there have been studies which use the data extracted from the actual events that took place to determine process models. In this paper we present the results of a case study we conducted to determine the effectiveness of four process discovery and process mining algorithms. After applying process discovery algorithms we compare the results by the actual process and process definitions. We discuss the discrepancies between the actual flow and the process definitions, and the weaknesses and strong aspects of the algorithms.

关键词： software algorithms Data mining Open source software software performance software tools software engineering Application software Informatics Algorithm design and analysis Programming

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Clustering of software Systems Using New Hybrid algorithms

Clustering of Software Systems Using New Hybrid Algorithms

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International Conference on Computer and Information Technology (CIT)

作者： Ali Safari Mamaghani Mohammad Reza Meybodi Computer Engineering Department Islamic Azad University Bonab Iran Computer Engineering and Information Technology Department Amirkabir University of Technology슠 Tehran Iran

software clustering is a method for increasing software system understanding and maintenance. software designers, first use MDG graph to model the structure of software system. In MDG, system modules (e.g. files ,classes) are represented as nodes and their relationships (e.g. function calls , inheritance relationships) as directed edges that connect the nodes. Once the MDG created, clustering algorithms are applied and create a partitioned MDG. Graph partitioning is a NP-Complete problem, So many algorithms for solving it has been reported in the literatures. In this paper two approximate algorithms have been proposed. The first algorithm is based on object migration learning automata and the second algorithm is a hybrid evolutionary algorithm obtained from combining object migration learning automata and genetic algorithm. The second algorithm by using learning automata and genetic algorithm accelerates the searching process and also prevents the algorithm from getting stuck in local optimal. Another positive point of the proposed algorithm is high stability. The proposed algorithms have been compared with some of the existing algorithms. Results show that the second algorithm has superiority over the existing methods.

关键词： software systems Clustering algorithms software algorithms Partitioning algorithms Learning automata Genetic algorithms software maintenance software design NP-complete problem Evolutionary computation

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software platform for PMU algorithms testing

Software platform for PMU algorithms testing

引用

Conference on Precision Electromagnetic Measurements (CPEM)

作者： Umberto Pogliano Jean-Pierre Braun Boštjan Volj Rado Lapuh Istituto Nazionale di Ricerca Metrologica Torino Italy Federal Office of Metrology (METAS) Bern-Wabern Switzerland Slovenian Institute of Quality and Metrology Ljubljana Slovenia

ISBN: (纸本)9781467304399

This paper describes a software platform used for the testing of PMU algorithms. The platform is implemented in MATLAB and consists of two parts. The first one permits the insertion of the simulation parameters while the second is the actual simulator for the algorithms. The second program contains a waveform generator including modulation and filtering. It also permits the comparison between the results of the PMU algorithm against those of an “ideal PMU”. The platform has been tested for its functionality and is used as a shared tool to quantify the uncertainties of the estimation algorithms developed in the framework of the EMRP project “Smart Grids”.

关键词： Phasor measurement units software algorithms Signal generators software Smart grids Algorithm design and analysis Testing

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Experimental verification of space-time algorithms using the smart antenna software radio test system (SASRATS) platform

Experimental verification of space-time algorithms using the...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： P.J. Green D.P. Taylor Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand

This work covers the experimental verification of 2 space-time (ST) algorithms on the smart antenna software radio test system (SASRATS) platform . This work also covers the concept and architecture of SASRATS, which was designed and developed to facilitate the field testing of ST processing architectures and algorithms. The paper covers the experimental verification of two robust ST algorithms developed by the authors for signal enumeration and channel order estimation. Simulation results are also presented and compared with the experimental results obtained on the SASRATS platform.

关键词： software algorithms software radio software testing System testing Robustness Mathematical model Computer architecture Rats Signal processing Antenna arrays

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