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检索条件"主题词=software algorithms"

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A study of comparative analysis of regression algorithms for reusability evaluation of object oriented based software components

A study of comparative analysis of regression algorithms for...

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International Conference on Open Source Systems and Technologies (ICOSST)

作者： Syeda Iffat Zahara Muhammad Ilyas Tehseen Zia Department of Computer Science and Information Technology University of Sargodha Sargodha Pakistan

Reusability of software is found to be a key feature of quality. The most obvious outcomes of software reuse are overcoming the software crisis, advancing in software quality and improving productivity. The issue of spotting reusable software components from given existing system is very important but yet it is not much cultivated. For identification and evaluation of reusable software we use an approach that has foundation of software models and metrics. Idea of this study is to examine the competence and effectiveness of machine learning regression techniques which are experimented here to build precise and constructive evaluation model that can assess the reusability of Object Oriented based software components based on the values of five metrics of metrics suite presented by “Shyam R. Chaidmber and Chris F. Kemerer”. By setting different values of parameters of these algorithms, it is also concluded that which specific algorithm or class of algorithms is appropriate for reusability evaluation and with which parameter's values. For this comparative analysis we have used Weka and experimented different regression techniques as Multi-linear regression, Model Tree M5P, Standard instance-based learning scheme IBk and Meta-learning scheme Additive Regression. As the result of this analysis and experimentation “Standard instance-based learning IBk with no distance weighting” is found to be the best regression algorithm for reusability evaluation of Object Oriented software components using CK metrics.

关键词： software software algorithms Measurement Object oriented modeling Algorithm design and analysis Regression tree analysis Machine learning algorithms

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algorithms and software for approximating and evaluating FIR filters

Algorithms and software for approximating and evaluating FIR...

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European Control Conference (ECC)

作者： Wim Michiels Hakkı Ulaş Ünal Department of Computer Science KU Leuven Heverlee Belgium Department of Electrical and Electronics Engineering Anadolu University Eski§ehir Turkey

The controllers designed for time-delays systems often involve finite impulse response (FIR) filters, in particular prediction based controllers for systems with input/output delays. We present algorithms and software to evaluate the frequency response, to approximate the filters by stable linear time-invariant systems and to compute their induced L 2 gain. The approach is based on the theory of functions of matrices. In the approach pole zero cancelations in frequency domain representations are explicitly taken into account.

关键词： Approximation methods Eigenvalues and eigenfunctions Finite impulse response filters Approximation algorithms Transfer functions software algorithms Delays

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Enhancing software Test Effort Estimation using Ensemble Learning algorithms

Enhancing Software Test Effort Estimation using Ensemble Lea...

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Intelligent Technologies (CONIT), International Conference on

作者： K Venkatraman M Akashvarma S Siddharth Department of Computer Science & Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

In software engineering, accurate test effort prediction is critical to project schedule and resource efficiency. Conventional approaches, which depend on past performance or expert opinion, frequently fail to provide a reliable estimate of the testing effort. These approaches might offer some insight at first, but as project complexity rises, they become less scalable and more error-prone. This study explores the use of machine learning to improve the estimation of software test effort in response. This work intends to overcome the shortcomings of conventional methods and create more accurate and scalable solutions by utilising the power of machine learning algorithms. The goal of the research is to determine the best machine learning strategy for software test effort estimation through extensive testing and comparative analysis. The results of this study are compared using metrics such as RMSE, MSE, MAE, and R2 score, with Random Forest algorithm demonstrating superior performance over other algorithms.

关键词： Schedules Machine learning algorithms Accuracy software algorithms Estimation software software reliability

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Efficient algorithms and software for detection of full-length LTR retrotransposons

Efficient algorithms and software for detection of full-leng...

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Proceedings of the IEEE Computational Systems Bioinformatics Conference, CSB

作者： A. Kalyanaraman S. Aluru Department of Electrical and Computer Engineering Iowa State University Ames IA USA

LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-length LTR retrotransposons in genomic sequences. The algorithm identifies regions in a genomic sequence that show structural characteristics of LTR retrotransposons. Three key components distinguish our algorithm from that of current software-(i) a novel method that preprocesses the entire genomic sequence in linear time and produces high quality pairs of LTR candidates in running time that is constant per pair, (ii) a thorough alignment-based evaluation of candidate pairs to ensure high quality prediction, and (Hi) a robust parameter set encompassing both structural constraints and quality controls providing users with a high degree of flexibility. Validation of both our serial and parallel implementations of the algorithm against the yeast genome indicates both superior quality and performance results when compared to existing software.

关键词： software algorithms Bioinformatics Genomics Sequences Organisms software quality Robust control Quality control DNA Evolution (biology)

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algorithms And TCAD software Using Parallel Computation

Algorithms And TCAD Software Using Parallel Computation

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International Workshop on VLSI Process and Device Modeling, VPAD

作者： R.W. Dutton University of Stanford Stanford CA USA

Progress in algorithms and simulators that exploit parallel computers are reported. Results using two generations of the Intel iPSC architecture for device analysis of 2D and 3D bipolar problems are used to illustrate substantial progress being made in parallelization. New approaches in the areas of hydrodynamic and Monte Carlo analysis are also discussed.

关键词： software algorithms Concurrent computing High definition video Equations Hydrodynamics Computational fluid dynamics Monte Carlo methods Algorithm design and analysis Technological innovation Convergence

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Development of a Modern Simulation software and Analysis of its Performance Using a Swarm System Architecture Driven by Nature-Inspired algorithms

Development of a Modern Simulation Software and Analysis of ...

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Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE International Conference on

ISBN: (数字)9781665478694

ISBN: (纸本)9781665478700

Swarm robotics is a branch of robotics that deals with numerous, semi-autonomous robots to accomplish a task. A robotic swarm of unmanned drones can be configured to work as a collective, in order to carry out Search and Rescue (SAR), localization and mapping, in an efficient and cost-effective manner. Proper simulation and modelling of swarm robotics are highly essential, as it enables liability-free development and testing of a large-scale multi-agent system. The intelligence of semiautonomous agents within a swarm can be driven by nature-inspired algorithms such as Stigmergy, Flocking, and Differential Evolution. This paper serves to highlight the development of a modern multi-agent simulation platform designed to simulate a swarm of robots assigned with a task, in a procedurally generated environment, alongside a swarm system architecture where nature-inspired algorithms drive the intelligence of each agent.

关键词： Location awareness Automation software algorithms Systems architecture Swarm robotics software Task analysis

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Effort estimation models using evolutionary learning algorithms for software development

Effort estimation models using evolutionary learning algorit...

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Colossal Data Analysis and Networking (CDAN)

作者： Goldie Gabrani Neha Saini Department of Computer Engineering BML Munjal University Gurgaon India

ISBN: (纸本)9781509006700

software effort estimation is a complicated task being carried out by software developers as very little information is available to them in the early phases of software development. The information collected about various attributes of software needs to be subjective, which otherwise can lead to uncertainty. Inaccurate software effort estimation can be disastrous as both underestimation and overestimation may result in schedule overruns and incorrect estimation of budget. This paper focuses on the comparative study of various non-algorithmic techniques used for estimating the software effort by empirical evaluation of five different evolutionary learning algorithms. The accuracy of these algorithms is found out and the behavior of these algorithms is analyzed with respect to the size and the type of data. All the five techniques are applied on three different datasets and various paramenters such as MMRE, PRED(25), PRED(50), PRED(75) are calculated. The proposed results are compared to other machine learning methods like SVR, ANFIS etc. The results show that evolutionary learning algorithms give more accurate results than machine learning algorithms.

关键词： software Estimation software algorithms Prediction algorithms Data models Algorithm design and analysis Machine learning algorithms

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Steganography software with Combination of Encryption algorithms for Multimedia Files

Steganography Software with Combination of Encryption Algori...

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International Conference on Informatics and Computational Intelligence (ICI)

作者： Nur Hadisukmana Yosua Kristianto Fac. of Comput. President Univ. Bekasi Indonesia

Steganography as the art of concealing messages to other object has been widely used in term of information security. The process of Steganography allows the hidden messages for not being apparent to an observer. Furthermore, there is another way that is commonly used to improve the security of the information, which is usually called Cryptography. Cryptography defines the art and science of transforming data into a sequence of bits that appears as random and meaningless for the observer. Most of the time, people use only one technique either Steganoraphy or Cryptography to secure the important information. However, the combination of Cryptography and Steganography that is proposed can be applied for enhancing the security of hiding information. The proposed concept also can provide an easiness of exchanging important messages secretly between a receiver and a sender with multimedia files as carriers of the messages.

关键词： software Multimedia communication Encryption Public key software algorithms Object oriented modeling

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Special purpose 3-D reconstruction and restoration algorithms for electron microscopy of nanoscale objects and an enabling software toolkit

Special purpose 3-D reconstruction and restoration algorithm...

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IEEE International Symposium on Biomedical Imaging

作者： Cory J. Prust Kang Wang Yili Zheng Peter C. Doerschuk Electrical and Computer Engineering Purdue University West Lafayette IN USA Biomedical Engineering and Electrical and Computer Engineering Cornell University Ithaca NY USA

ISBN: (纸本)9781424439317

Two algorithms are described for electron microscopy tasks: (1) 3-D reconstruction of an infectious bacteriophage, including the tail, based on a set of single-particle cryo electron microscopy images of identical phage particles with one image per particle and (2) restoration, resolution enhancement, and classification of spherical viruses in a cell based on a tomographic reconstruction of the entire cell. While different tasks, the statistical algorithms, which are maximum likelihood estimators, have extensive commonality. In order to provide solutions for such tasks in a timely fashion, a software toolkit has been created, based on the commonality, for writing parallel software systems to solve these problems.

关键词： Three dimensional displays software algorithms Electron microscopy software tools Image restoration Image resolution Tomography Image reconstruction

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Boltzmann algorithms to partition and map software for computational grids

Boltzmann algorithms to partition and map software for compu...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： J.R. Adams C.C. Price Isthmus Inc. Stephen F.Austin State University USA

Summary form only given. We present a model that comprehensively addresses the goals of partitioning an application software mesh into clusters of modules and assigning (or mapping) the clusters onto the most appropriate processors in the computational grid. Our approach to solving this challenging combinatorial problem is based on a computational model known as a cascaded Boltzmann machine, which advantageously blends the principles of neural computing and simulated annealing to achieve high quality partitions in a practical amount of execution time. We develop implementations of the algorithms, and focus on the study and refinement of the operational parameters that determine the performance of the Boltzmann algorithms. Through computational experimentation and empirical observations, we are able to characterize the speed and effectiveness of this partitioning and mapping process. We also note that the partitioning and mapping algorithm itself can be implemented as a parallel computation.

关键词： Partitioning algorithms software algorithms Grid computing Biology computing Computer networks Concurrent computing Application software Neural networks Biological system modeling Computational modeling

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