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检索条件"主题词=software algorithms"

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The performance of linear time suffix sorting algorithms

The performance of linear time suffix sorting algorithms

引用

Data Compression Conference (DCC)

作者： S.J. Puglisi W.F. Smyth A. Turpin Department of Computing Curtin University of Technology Perth Australia Department of Computing & Software McMaster University Hamilton Canada Department of Computer Science & Software Engineering University of Melbourne Melbourne Australia

We have illustrated that the superior asymptotic complexity of linear time suffix sorting algorithms does not readily translate into faster suffix sorting, compared to implementations of supralinear algorithms. We have also resolved the ambiguity surrounding the practicality of the Algorithm KA: it is slower than supralinear approaches on real data. We described several optimizations to the O(n) KS algorithm that significantly improve performance for real world inputs, but still fall short of some supralinear approaches. It is worth noting that most of the optimizations we describe could also be applied to Algorithm KB, which may then outperform the well tuned suffix sorter of Manzini and Ferragina (2004).

关键词： Sorting Australia software algorithms Computer science software engineering Indexing Councils Data compression

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Improving Accuracy and Speed of Deep Learning algorithms for Real-Time Data Analysis in Machine Learning

Improving Accuracy and Speed of Deep Learning Algorithms for...

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Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS), IEEE International Conference on

作者： Fatima M. Inamdar Mahendra Kumar Singar Preeti Naval Ashutosh Pattanaik M.P. Santhoshkumar Maheswaran S Department of Information Technology Vishwakarma Institute of Information Technology Pune INDIA Department of Civil Engineering Vivekananda Global University Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Mechanical Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Karnataka India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai-127 Department of Electronics and Communication Engineering Kongu Engineering College Erode Tamil Nadu INDIA

ISBN: (数字)9798350329773

ISBN: (纸本)9798350329780

This have a look at examines using deep learning algorithms for stepped forward accuracy and velocity in real-time facts evaluation in gadget studying. The goal is to offer a comprehensive assessment of recently developed optimization strategies for deep gaining knowledge of algorithms, as well as techniques to enhance their accuracy and overall performance. Additionally, the paper evaluates the potential of deep learning algorithms for actual-time information analysis, in phrases of their accuracy, pace, reliability, and scalability. In the end, the paper offers a survey of to be had datasets for deep learning, and gives hints for in addition studies. The results of this examine suggest that deep mastering algorithms can be used to enhance accuracy and speed of system getting to know for actual-time data evaluation, and that further studies must attention on exploring the ability of optimization techniques for accomplishing higher accuracy and pace.

关键词： Deep learning Knowledge engineering Surveys Machine learning algorithms Scalability software algorithms Real-time systems

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SBST challenges from the perspective of the test techniques

SBST challenges from the perspective of the test techniques

引用

Conference on Information and Knowledge Technology

作者： Sepideh Kashefi Gargari Mohammd Reza Keyvanpour Faculty of Engineering Alzahra University Tehran Iran

ISBN: (纸本)9781665408509

Despite several decades of working on software quality assurance methods, they still require further investigations. In this regard, it is of paramount importance to detect a process detecting possible software errors with minimum budget and efforts. Search-based software testing(SBST) is an approach to automated software testing and aims to find a suitable alternative to manual testing. SBST is to transform the test problem into an optimization problem and obtain better solutions by searching the problem space. Search-based testing has some disadvantages and advantages. In this paper, considering the significance of SBST in testing, the search-based test challenges were detected from the perspective of the test techniques. This study also suggests different research subjects and provides a guideline for researchers interested in SBST as such the results can be used to compare the existing test techniques, select the best one, and represent the challenges of each technique.

关键词： software testing software algorithms Transforms software quality Manuals Search problems Optimization

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Hyperparameter selection for reliable EEG denoising using ASR: a benchmarking study

Hyperparameter selection for reliable EEG denoising using AS...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Velu Prabhakar Kumaravel Marco Buiatti Elisabetta Farella Digital Society (DigiS) Fon-dazione Bruno Kessler Italy Center for Mind/Brain Sciences (CIMeC) University of Trento Italy

ISBN: (纸本)9781665429825

Artifacts preprocessing in EEG is remarkably significant to extract reliable neural responses in the downstream analysis. A recently emerging powerful preprocessing tool among the EEG community is Artifacts Subspace Reconstruction (ASR). ASR is an unsupervised machine learning algorithm to identify and correct the transient-like non-stationary noisy samples. ASR is fully automatic, therefore, suitable for online applications. However, the performance of ASR is strongly dependent on the user-defined hyperparameter k. A poor choice of k might lead to severe performance *** this work, we benchmark the performance of ASR against its parameter k. Toward this goal, we used the Temple University Hospital EEG Artifact Corpus (TUAR), which consists of 310 EEG files recorded in clinical settings from epileptic patients. Remarkably, these files are annotated for artifacts by trained personnel with a high inter-rater agreement score (κ > 0.8). Considering these reliable labels as ground truth, ASR has shown the best performance in artifacts cleaning with k ranging between 20 and 40.

关键词： software algorithms Benchmark testing Electroencephalography Distance measurement Cleaning software software reliability

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New approaches for service composition based on graph models

New approaches for service composition based on graph models

引用

International Conference on Contemporary Computing (IC3)

作者： Pavankumar Guluru Rajdeep Niyogi Department of Computer Science & Engineering Indian Institute of Technology Roorkee Roorkee

In this paper we present web service composition problem as search problem in AND/OR Service Dependency Graph (SDG). In general web services take multiple inputs and produce single output. For this reason we concentrated on Multi-input, Single output web services composition. We proposed two algorithms for finding the composition given a service request. First algorithm finds the composition by generating all the paths from input nodes to output node and merging the paths. In Second algorithm we have incorporated cost parameters for web services and algorithm finds the minimal composition for the given request. We have evaluated our algorithms experimentally and results are shown.

关键词： Web services Data structures software algorithms Semantics Computer science Search problems

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Performance Study of Catmull-Clark Subdivision Surfaces Algorithm

Performance Study of Catmull-Clark Subdivision Surfaces Algo...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Ali J. Ghandour Walid J. Ghandour Hassan Diab Ahmad Nasri National Council for Scientific Research Beirut Lebanon Lebanese University Beirut Lebanon Beirut Lebanon

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Generating smooth surfaces of arbitrary topology is a major challenge in geometric modeling, computer graphics, and scientific visualization. Subdivision surfaces have emerged as a powerful and useful technique in modeling free-form surfaces. Recursive subdivision techniques generate visually pleasing smooth surfaces through the repeated application of a fixed set of subdivision rules. Given a control mesh, a Catmull-Clark Subdivision Surface (CCSS) is generated by iteratively refining (subdividing) the control mesh to form new control meshes. CCSS implementations do not perform well and suffer from low CPU utilization because they are often waiting for data to be transferred from memory due to the repeated pointer indirections. Rapid Evaluation of CCSS is an approach that focuses on achieving maximum performance by carefully addressing caching issues. However, this approach is designed with primary target being single core machines. In this paper, we implement the Rapid Evaluation of Catmull-Clark Subdivision Surfaces (RECCSS) algorithm in C++ and measure its achieved performance. We then redesign RECCSS to leverage the potential of parallel computation on widely available multicores machines and show that Parallelized RECCSS (PRECCSS) achieves noticeable speedup when run on diverse set of machines compared to the original RECCSS implementation. In addition, we conduct a study about the data value predictability of PRECCSS load instructions using Pin dynamic binary instrumentation tool, and conclude that 93.25% prediction accuracy can be achieved with existing value prediction techniques.

关键词： Surface treatment software algorithms Instruction sets Topology Computational modeling Multicore processing C++ languages

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Applications of Artificial Bee Colony Optimization technique: Survey

Applications of Artificial Bee Colony Optimization technique...

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International Conference on Computing for Sustainable Global Development (INDIACom)

作者： Kuldeep Singh Kaswan Sunita Choudhary Kapil Sharma Department of Computer Science Banasthali University Banasthali Rajasthan INDIA Department of Computer Science & Engineering Delhi Technological University Delhi INDIA

ISBN: (纸本)9781479968329

In this paper, an overviews of different application areas are discussed, where the Artificial Bee Colony (ABC) optimization algorithm has applied. Artificial bee colony was introduced by Karabora in 2005. It was developed to solve real parameter optimization problem. BCO's (Bee Colony Optimization) foraging behavior is simulated in artificial bee colony. This system portraying organized team-work well coordinated interaction, labor division, simultaneous task performance and well-knit communication.

关键词： Optimization Algorithm design and analysis Clustering algorithms Benchmark testing software algorithms Prediction algorithms Heuristic algorithms

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Development of pulse-signaling algorithm for robotics control and communication

Development of pulse-signaling algorithm for robotics contro...

引用

IEEE Asia-Pacific Conference on Circuits and Systems

作者： M. Parnichkun P. Airtan Sch. of Adv. Technol. Asian Inst. of Technol. Pathuruthani Thailand School of Advanced Technologies Asian Institute of Technology Pathum Thani Thailand

The pulse-signaling algorithm (PSA) is proposed for robotics control and communication. By PSA, an operator can send control signals directly to control a robot or a group of robots. No extra equipment is needed in PSA because pulse signals can be generated easily from the operator. Within this paper, the algorithm is considered in three aspects; communication protocol, hardware prototype, and software implementation. PSA protocol is composed of three parts; command code, operand code, and address code. In order to control the desired robot to do the desired work at the desired amount PSA prototype circuit is designed and developed and PSA software is programmed on the designed prototype circuit to realize the algorithm. Some experiments are done to test and evaluate the proposed algorithm.

关键词： Robot control Communication system control software prototyping software algorithms Protocols Circuits Algorithm design and analysis Pulse generation Signal generators Hardware

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Development of a Micro-Power Systems Model for the Study of Price-Dependent Management Method

Development of a Micro-Power Systems Model for the Study of ...

引用

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

作者： Abdullo Majidov Shahboz Hafizov Temirkhan Isaev Rustamzhon Nortozhiev Okoth Jessygrey Kamoldzhon Yuldashev National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9781728183985

ISBN: (纸本)9781728183992

Features of electric energy as a commodity, due to its physical properties, determine the need to continuously maintain a balance of production and consumption. In the absence of special measures to stimulate consumers, the demand for electric energy does not depend or does not depend much on prices in the market, consumers do not reduce consumption when the price increases. Therefore, in this paper, a micro-power system model was developed using the Simscape Electrical library in the MATLAB software package, consisting of a diesel generator, a solar and wind power plant, an electric energy storage device, and a controlled load to test the automatic load control method. With the help of MATLAB Function blocks using the code of the price-dependent reduction consumption algorithm, various abnormal modes associated with climatic conditions for power supply systems and wind power plants are modeled.

关键词： software packages software algorithms Production Wind power generation Mathematical model Load modeling Matlab

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A Full-Stack Neuromorphic Prototype Architecture for Low-Power Wireless Sensors

A Full-Stack Neuromorphic Prototype Architecture for Low-Pow...

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IEEE Globecom Workshops

作者： András Rácz András Veres Péter Hága Tamás Borsos Zsolt Kenesi Ericsson Research Budapest Hungary

ISBN: (纸本)9781665459761

One emerging trend in the evolution of sensor technology is to perform Artificial Intelligence (AI) based data processing already on the sensor. The benefits are in terms of reduced upstream communication load or reduced reaction times when the sensor is applied for example, in some time critical control loop. Such developments, however, may easily get in conflict with the equally important requirement of energy efficiency and low power operation. The brain inspired neuromorphic technology may resolve this conflict, if we can put all computation tasks of the sensor on neuromorphic principles, including the communication related processing as well. For this purpose, we need to rebuild the entire communication stack, including information encoding, protocols, radio algorithms on neuromorphic basis. In this paper we show a neuromorphic native design of an end-to-end sensor application and we exemplify such a communication stack with a prototype implementation, where the radio algorithm and protocol components have been replaced by neuromorphic algorithms implemented on a real neuromorphic chip combined with software Defined Radio (SDR) hardware.

关键词： Wireless communication Wireless sensor networks Protocols Neuromorphics software algorithms Prototypes Market research

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