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检索条件"主题词=software algorithms"

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Development of an Automated Measurement System for Sapphire Glass Holes Based on Shape from Focus Method

Development of an Automated Measurement System for Sapphire ...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Yan-Rui Lin Chun-Yen Chu Ju-Yi Lee Department of Mechanical Engineering National Central University Taoyuan City Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This research developed an automated system for positioning and measuring circular holes using the Shape from Focus technique, aimed at addressing the challenges of precise alignment and fully automated measurement of circular holes in sapphire glass. The system comprises both hardware components (such as a CCD camera, various lenses, lighting devices, and an electronically controlled displacement platform) and software components (developed in Python and C++). The process is divided into two stages: coarse and fine automated positioning of circular holes, followed by three-dimensional shape reconstruction. Among several focus value algorithms tested, the Scharr algorithm proved to be the most effective, yielding the smallest error compared to commercial equipment. Performance validation of the system shows that with a 20x objective lens, the measurement range is 425 µm by 355 µm, with lateral and longitudinal resolutions of 0.871 µm and 0.8 µm, respectively.

关键词： Solid modeling Three-dimensional displays Shape Shape measurement software algorithms Glass Position measurement Hardware software Lenses

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Riverbed evolution simulation and application based on machine learning

Riverbed evolution simulation and application based on machi...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Tingting Liao Yun Zhao Qianqian Jin Yu Cai Shanghai Survey and Design Research Institute Co. Ltd. China Taizhou Water Conservancy and Hydropower Survey and Design Institute Limited Taizhou China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

In the process of riverbed evolution, the hydrodynamic model and sediment transport model are generally used to decouple riverbed deformation. Based on the numerical simulation results of long-sequence riverbed evolution by machine learning, this paper compares and analyzes the differences between machine learning and numerical simulation results for the average scouring and silting results of river channels and characteristic points, summarizes and proposes a calculation method for machine learning to predict riverbed evolution, which greatly reduces the time required for riverbed scouring and silting simulation. At the same time, the proportion of training data is optimized and compared with the numerical simulation results. Machine learning is applied to riverbed evolution simulation, and the overall scouring and silting calculation error does not exceed 10%.

关键词： Deformable models Deformation software algorithms Training data Machine learning Numerical simulation Rivers Numerical models Sediments software engineering

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Estimation of distribution algorithms for testing object oriented software

Estimation of distribution algorithms for testing object ori...

引用

Congress on Evolutionary Computation

作者： Ramon Sagarna Andrea Arcuri Xin Yao Centre of Excellence for Research in Computational Intelligence and Applications School of Computer Science University of Binningham Birmingham UK

One of the main tasks software testing involves is the generation of the test cases to be used during the test. Due to its expensive cost, the automation of this task has become one of the key issues in the area. While most of the work on test data generation has concentrated on procedural software, little attention has been paid to object oriented programs, even so they are a usual practice nowadays. We present an approach based on estimation of distribution algorithms (EDAs) for dealing with the test data generation of a particular type of objects, that is, containers. This is the first time that an EDA has been applied to testing object oriented software. In addition to automated test data generation, the EDA approach also offers the potential of modelling the fitness landscape defined by the testing problem and thus could provide some insight into the problem. Firstly, we show results from empirical evaluations and comment on some appealing properties of EDAs in this context. Next, a framework is discussed in order to deal with the generation of efficient tests for the container classes. Preliminary results are provided as well.

关键词： software algorithms software testing Electronic design automation and methodology Containers Automatic testing System testing Costs Object oriented modeling Probability distribution software quality

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Fast sequential and parallel algorithms for label selection to obtain space efficient implementations in a software configuration management system

Fast sequential and parallel algorithms for label selection ...

引用

International Conference on Parallel Computing in Electrical Engineering (PARLEC)

作者： R. Greenlaw C. Shipley J. Wogulis Armstrong Atlantic State University Savannah USA StarBase Corporation Santa Ana CA USA

software configuration management (SCM) systems require the ability to maintain collections of a large number of specific versions of files. One technique for managing these configurations is to maintain a single time-stamp identifying which versions of the files belong to the configuration along with an exception list to that time-stamp. Given the individual time-stamps of n files represented by half-open intervals, we develop an O(n log n) tone sequential algorithm that finds a time-stamp leading to the smallest possible exception list. The technique is used in a commercial SCM system and works well in practice. We also develop a parallel version of the algorithm that runs in O(log n) time using n processors on an EREW-PRAM. If the intervals are sorted, the sequential algorithm runs optimally in O(n) time and the parallel algorithm runs optimally in O(log n) time using n/log n processors on an EREW-PRAM.

关键词： Parallel algorithms software maintenance software systems Computer science Drives software algorithms Documentation Optimizing compilers Operating systems

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Using DPSO and B&B algorithms for Hardware/software Partitioning in Co-design

Using DPSO and B&B Algorithms for Hardware/Software Partitio...

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International Conference on Computer Research and Development (ICCRD)

作者： Taees Eimuri Sara Salehi Islamic Azad University Parand Parand Iran Southampton UK

ISBN: (纸本)9781424469925;9780769540436

This paper presents a hybrid method based on Discrete Particle Swarm Optimization (DPSO) and Branch-and-Bound (B&B) algorithms to solve Hardware/software partitioning problems. In this approach, some pre-defined relations are used to present a formal solution for the partitioning problem. Then, DPSO is used to increase the speed of B&B. Results of experiments show that in case the problem has any optimal solution, proposed approach can find it in a better time, in addition to in the more formal manner.

关键词： Partitioning algorithms software algorithms Hardware Costs Signal processing algorithms Embedded software Embedded system software performance Clustering algorithms Particle swarm optimization

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Bio-inspired algorithms in software Fault Prediction: A Systematic Literature Review

Bio-inspired Algorithms in Software Fault Prediction: A Syst...

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International Conference on Open Source Systems and Technologies (ICOSST)

作者： Asad Ali Carmine Gravino University of Salerno Fisciano SA Italy

ISBN: (数字)9781728190501

ISBN: (纸本)9781728190518

Bio-inspired (and meta-heuristic) algorithms are successfully employed in different domains and the research is going on to accommodate them in all the contexts where optimization is required. In software engineering, and especially software Fault Prediction (SFP), they are investigated in various forms, e.g., to extract the most relevant features in a dataset or to select the most appropriate set of parameter values in the application of estimation techniques. In SFP, feature selection and optimization/tuning of estimation technique's parameters are an active research area, where recently various bio-inspired algorithms have been employed for both strategies. In this work, we present a Systematic Literature Review (SLR) about the use of bio-inspired algorithms for feature selection and parameter optimization aiming at increasing fault prediction accuracy of the models built with various estimation techniques. To the best of our knowledge, there is no SLR in SFP which covers the use of bioinspired algorithms, both for feature selection and parameter optimization. Since, the use of bio-inspired algorithms in the area of SFP started to be investigated in the late 2000, we have considered studies published between 2007 and 2019. As result, we have selected about 19 studies related to parameter optimization and 15 dealing with feature selection (in total 34 studies), extracted from five well-known digital libraries (ACM digital library, IEEE explore, Springer, ScienceDirect, and Scopus). Genetic algorithms (GA) and Particle Swarm Optimization (PSO) are the widely used bio-inspired algorithms, both for parameter optimization and feature selection. Among them, GA is the better performed algorithm when evaluating its performance against the baseline (i.e., estimation techniques without any algorithm for feature selection or parameter optimization and trained with their default values). The SLR results also suggests that bio-inspired algorithms seem to provide more accurate

关键词： Bibliographies software algorithms Estimation Prediction algorithms Feature extraction Optimization Genetic algorithms

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Automatic installation of software-based fault tolerance algorithms in programs generated by GCC compiler

Automatic installation of software-based fault tolerance alg...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Adam Piotrowski Department of Microelectronic and Computer Science Technical University of Lódź Lodz Poland

The problem of designing radiation-tolerant devices working in application critical systems becomes very important especially if human life depends on the reliability of control mechanisms. One of the possible solution of this problem are pure software protection methods. They constitute different category of techniques to detect transient faults and correct corresponding errors. software fault tolerance schemes are cheaper to implement since they can be used with standard, commercial of-the-shelf (COTS) components. Additionally, they do not require any hardware modification. In this paper, author propose a new implementation mechanism for software based fault protection algorithms performed automatically during application compilation.

关键词： Arrays Encoding Benchmark testing software Libraries software algorithms Circuit faults

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Scheduling algorithms for Simultaneous software Updates of Electronic Devices in Vehicles

Scheduling Algorithms for Simultaneous Software Updates of E...

引用

IEEE International Conference on Communications Workshops, ICC

作者： J. Sommer V. Feil E. A. Sanz Institute of Communication Networks and Computer Engineering (IKR) University of Stuttgart Stuttgart Germany Infotainment and Telematics Daimler Benz Aerospace Sindelfingen Germany

Today's upper-class passenger cars have various interconnected electronic devices. Each device performs complex functions, enabled by software that can be stored in a flash memory. Of these, the devices in the multimedia and infotainment domain contain by far the most software with a size in the order of one Gbyte. In this domain, the devices are the performance bottlenecks, not the communication systems. Throughout the vehicle life cycle, parts of the software have to be frequently updated during maintenance. Today, the software of the devices is updated in a consecutive manner. Due to performance bottlenecks caused by the affected devices, the update can take a long time that leads to high costs. Therefore, the objective is to reduce the total update time by a higher utilization of the common bus resource. In this paper, we introduce and investigate algorithms that update the software of multiple devices simultaneously and evaluate the efficiency of these algorithms. We focus on scheduling algorithms on the Application layer and the logical link control (LLC) layer and model the update process by means of Petri nets. Our studies show that it is most promising to combine a simple scheduling algorithm on the Application layer with Round Robin on the LLC layer.

关键词： Scheduling algorithm Vehicles software algorithms Round robin software performance Flash memory software maintenance Costs Application software Petri nets

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Application of Data Mining algorithms in Financial Analysis software

Application of Data Mining Algorithms in Financial Analysis ...

引用

Communications and Information Technologies (GCCIT), Global Conference on

作者： Fang Xiao School of Communication And Management China

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

Risk management plays an important role in the application of financial analysis software, but there is the problem of inaccurate management positioning. Traditional iterative algorithms cannot solve the risk management problems in the application of financial analysis software, and the effect is not satisfactory. Therefore, this paper proposes the application of financial analysis software based on data mining algorithm and analyzes the application in financial analysis software. Firstly, the statistical set theory is used to locate the influencing factors, and the indicators is divided according to the requirements of risk management to reduce the interference factors in risk management. Then, the statistical set theory is used to form a risk management scheme of data mining algorithm, and the risk management results is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the data mining algorithm is better than the traditional iterative algorithm in terms of risk management accuracy and risk management influencing factor time.

关键词： Simulation software algorithms Interference Financial management Set theory software Risk management Data mining Iterative methods MATLAB

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Alternative Quadrant Representations with Morton Index and AVX2 Vectorization for AMR algorithms within the p4est software Library

Alternative Quadrant Representations with Morton Index and A...

引用

IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Mikhail Kirilin Carsten Burstedde Institute for Numerical Simulation University of Bonn Bonn Germany

ISBN: (数字)9798350364606

ISBN: (纸本)9798350364613

We present a technical enhancement within the p4est software for parallel adaptive mesh refinement. In p4est mesh primitives are stored as octants in three and quadrants in two dimensions. While, classically, they are encoded by the native approach using its spatial coordinates and refinement level, any other mathematically equivalent encoding might be used instead. Recognizing this, we add two alternative representations to the classical, explicit version, based on a long monotonic index and 128-bit AVX quad integers, respectively. The first one requires changes in logic for low-level quadrant manipulating algorithms, while the other exploits data level parallelism and requires algorithms to be adapted to SIMD instructions. The resultant algorithms and data structures lead to higher performance and lesser memory usage in comparison with the standard baseline. We benchmark selected algorithms on a cluster with two Intel(R) Xeon(R) Gold 6130 Skylake family CPUs per node, which provides support for AVX2 extensions, 192 GB RAM per node, and up to 512 computational cores in total.

关键词： Three-dimensional displays software algorithms Memory management Random access memory Clustering algorithms Prediction algorithms software

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