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检索条件"主题词=Software Algorithms"

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Edge Cloud Manufacturing Service Platform and the Resource Allocation Optimization Method

Edge Cloud Manufacturing Service Platform and the Resource A...

引用

Electrical Engineering, Big Data and algorithms (EEBDA), IEEE International Conference on

作者： Siyu Ruan Zequn Zhang Dunbing Tang Nanjing University of Aeronautics and Astronautics Nanjing China

At present, direct installation or running programs on the cloud platform cannot balance real-time and convenient maintenance requirements of manufacturing companies. Therefore, this paper proposes an edge cloud manufacturing service platform and an optimization model for edge resource allocation. Finally, a large-scale manufacturing digital twin system case is realized on a multi-node virtual machine cluster, which shows that the method can effectively realize the remote deployment and long-term maintenance of edge cloud manufacturing services.

关键词： Cloud computing software algorithms Maintenance engineering software Real-time systems Virtual machining Manufacturing

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Enhanced Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems

Enhanced Backward/Forward Sweep Load Flow Algorithm for Radi...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),Conference on

作者： Mohamed EL FAKIR Abdelaziz BELFQIH Faissal EL MARIAMI Jamal BOUKHEROUAA Energy and electrical systems laboratory team CASE National Higher School of Electricity and Mechanics Hassan II Casablanca Morocco

ISBN: (数字)9798350309508

ISBN: (纸本)9798350309515

This paper presents an advanced approach to address the divergence issue encountered in the Newton-Raphson and Gauss-Seidel methods for radial system load flow calculations, while preserving their precision. The proposed method achieves this by enhancing the precision of the Backward/Forward Sweep (BFS) load flow algorithm tailored for radial distribution systems. The focus lies on enhancing calculation accuracy within power distribution networks in accordance with IEEE standards for the voltage calculation, while also considering various receiver types such as motor and non-motor loads. The algorithm's efficacy is validated through development and testing on the IEEE 33-bus system using the MATLAB platform. Comparative analysis with results generated by ETAP software for the Newton-Raphson and Gauss-Seidel methods, as well as the standard BFS method, underscores the effectiveness of the proposed approach.

关键词： software algorithms Power system dynamics Voltage IEEE Standards software software reliability Newton method

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Setting Coordination Relay Protection On Multiloop Model Distribution Electrical Power System Using Firefly Algorithm

Setting Coordination Relay Protection On Multiloop Model Dis...

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Vocational Education and Electrical Engineering, International Conference on

作者： Daeng Rahmatullah PK Iradiratu Diah Belly Yan Dewantara Fendi Achmad Universitas Hang Tuah Indonesia

ISBN: (数字)9781728174341

ISBN: (纸本)9781728174358

The purpose of this paper was to obtain a setting relay coordination on a multiloop model power distribution system using the firefly algorithm. Continuity of electrical power system distribution must be maintained. Electric power system network models have been updated starting from the radial, loop and the new one is the multiloop system. Multiloop system was also very suitable for systems that have been integrated with distributed generation (DG). DG is a combination of small-scale power plants with the main source and is placed scattered, such as unrenewable and renewable energy such as photovoltaics, wind turbines, and micro-hydro. But the problem of extinction due to external interference can be suppressed to a minimum with good and fast coordination of the relay. Setting Relay coordination on multiloop systems, it is more complex than the radial and loop system. To get a fast and optimal setting relay on a multiloop system, we can calculate relay settings uses an optimization algorithm. One of them is the firefly optimization algorithm. The firefly algorithm is an algorithm that applies the behavior of fireflies based on the intensity of the light. By using a firefly optimization algorithm to get the value of the relay protection coordination settings will shorten the manual calculation, get the value of the setting quickly, and the most optimal. From the optimization results using the firefly algorithm obtained relay settings with an operating time of 14 relays reaching 3.717 seconds faster than 4.339 seconds compared to manual calculations.

关键词： Renewable energy sources software algorithms Protective relaying Manuals software Wind turbines Optimization

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Studies on the Performance of Two New Bus Arbitration Schemes for MultiCore Processors

Studies on the Performance of Two New Bus Arbitration Scheme...

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IEEE International Advance Computing Conference, IACC

作者： N. Ramasubramanian P. Krishnan V. Kamakoti National Institute of Technology Tiruchirapalli India

This paper looks at two new bus arbitration algorithms for use in multi-processor and multi-core systems, where different processors must share the same bus to access main memory. These algorithms try to improve upon existing algorithms in terms of latency caused by contention among the processors. Both the algorithms take into account characteristics of arbitration which are normally ignored, or given less importance to. The Request-Service bus arbitration algorithm attempts to remove all forms of starvation among the competing processors. Arbitration takes place in two stages: the Request stage, where all requests from processors are latched onto the bus, and the Service stage, where all these requests are served. This algorithm works well under conditions of light load. The age-based bus arbitration algorithm gives more priority to processors that have recently acquired the bus, thus leading to greater throughput. To control starvation, this scheme is used only as long as there are few processors with active requests. This algorithm is suitable in cases where processors have to transfer large blocks of data.

关键词： Multicore processing Algorithm design and analysis Throughput IEEE members Random access memory software algorithms Analytical models System buses Synchronization Process control

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Discovering components of the Primary Language

Discovering components of the Primary Language

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Boris Stilman University of Colorado Denver Denver CO USA

In 1957 J. von Neumann introduced the Primary Language when he suggested that the languages we use are just external languages while the Primary Language is the only internal language of the human brain. Due to its age this cannot be symbolic. Instead, this must be a system of hybrid and mostly analog algorithms embedded in the human brain. This paper reports results of research on two possible components of the Primary Language, Linguistic Geometry (LG) and the Algorithm of Discovery. LG is a type of game theory for a class of extensive discrete games called Abstract Board Games (ABG), scalable to the level of real life defense systems. LG is an evolutionary product of millions of years of human warfare. It appears that LG is a formal model of human reasoning about armed conflict, a mental reality “hard-wired” in the human brain. Experiences of development of LG were utilized for solving major puzzle, discovering the Algorithm of Discovery, which must be another ancient component of the Primary Language. The major emphasis of his paper is on the results of investigation of the mental processes called visual streams that manifest execution of this algorithm. It reveals the various types of visual streams, the way of focusing those streams and constructing new streams. It particular it reveals the relationship of visual streams and mathematical proofs.

关键词： Visualization Humans Abstracts Games software algorithms Streaming media Trajectory

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Real time implimentation of 16kbs APC with Hybrid Quantization

Real time implimentation of 16kbs APC with Hybrid Quantizati...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： J. Burgett J. Collura Dept. of Defence Ft. Meade MD

Our task was to produce a real time, portable system to demonstrate a high quality voice coding algorithm. This paper describes the problems in converting a FORTRAN algorithm into real time software. We show how our hardware system and strategy of implementation together solve these problems and give some results of the implementation.

关键词： Quantization High level languages Hardware Floating-point arithmetic Real time systems software algorithms Speech processing software design Portable computers Large scale integration

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Application of the Ontological Approach to the Iterative GMDH algorithms Metamodel Construction

Application of the Ontological Approach to the Iterative GMD...

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International Computer Sciences and Information Technologies (CSIT)

作者： Halyna Pidnebesna Yevgeniya Savchenko-Synyakova Volodymyr Stepashko Department for Information Technologies of Inductive Modelling Systems of the NAS and MES International Research and Training Centre for Information Technologies Kyiv Ukraine

ISBN: (纸本)9798350334326

Construction of an ontological metamodel of iterative algorithms is proposed to structure knowledge about these algorithms and their implementation. The metamodel will automate the design and use of specialized software for solving specific applied modeling problems. The advantage of iterative GMDH algorithms over combinatorial ones is that they allow the big datasets processing. The known generalized iterative algorithm, allows you to create typical architectures of previously developed modifications of these algorithms when setting up various modes of operation of this algorithm. The authors have developed an ontological metamodel of iterative GMDH algorithms using the Protégé environment.

关键词： Computational modeling software algorithms Buildings Metamodeling Computer architecture Iterative algorithms Data models

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Auto-recognizing DBMS Workload Based on C5.0 Algorithm

Auto-recognizing DBMS Workload Based on C5.0 Algorithm

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Zhixian Niu Lili Zong Qingwei Yan Zhenxing Zhao College of Computer and Software Taiyuan University of Technology Taiyuan Shanxi China

The type of the workload is one of the key factors on database management system (DBMS) tuning. Different types of workload (OLTP, online transaction processing and OLAP, online analytical processing) mean different resource allocation strategies. In this paper, we present an approach to automatically identify a DBMS workload as either OLTP or OLAP. We use C5.0 algorithm to construct a set of classifiers based on the characteristics that differentiate OLTP and OLAP and then use the classifier to identify the workload type. The experiments show that the classifiers can be able to accurately identify the OLTP and OLAP workloads.

关键词： Testing Resource management Costs Transaction databases Data mining software algorithms Educational institutions Database systems Classification tree analysis Decision trees

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Image edge detection based on otsu and rough set theory

Image edge detection based on otsu and rough set theory

引用

International Conference on Computer Science and Service System (CSSS)

作者： Jing Zhang Leilei Wang School of Software Liaoning University of Science and Technology Anshan Liaoning China

ISBN: (纸本)9781424497621

A new algorithm of image edge detecting was proposed, which was based on otsu method and the set's approximation of rough set theory. Firstly, the global threshold of image segmenting was selected through otsu technique for this algorithm. Then there was a 3*3 pixels window, according to the attributes of the relations between threshold and window pixels' grey levels to build decision table. It could deduce the upper approximation and the lower approximation of image edge sets. And at last, the edge image was obtained using the difference between the two approximation sets. The experimental result shows that the method can successfully preserve the image edge details, make the edge image meticulous and vivid, and have powerful ability in its resistance against noise pollution and better continuity and closure.

关键词： Image edge detection Set theory Presses Approximation methods Digital images software algorithms software

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Harmonising Heterogeneous Data Sources for Comprehensive Forensic Analysis

Harmonising Heterogeneous Data Sources for Comprehensive For...

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Emerging Trends in Industry 4.0 (ETI 4.0)

作者： Pradeep Kumar Chandra Modi Himabindu Vijilius Helena Raj Amit Dutt Koreswar Rao Kumbha Abdulkareem Mahdy LLloyd Institute of Engineering & Technology Knowledge Park II Greater Noida Uttar Pradesh Institute of Aeronautical Engineering Dundigal Hyderabad Department of Applied Sciences New Horizon College of Engineering Bangalore Lovely Professional University Phagwara Dept. of IT St. Martin’s Engineering College Secunderabad Telangana Bharat College of Pharmacy National University of Science and Technology Dhi Qar Iraq

ISBN: (数字)9798350373783

ISBN: (纸本)9798350373790

New techniques must be devised to integrate data types for extensive and accurate analysis as digital forensics evolves. Five key algorithms are recommended for a full framework in this study. Cross-platform normalization for standardization, semantic integration for common representation, federated learning for collaborative analysis, ontology-driven anomaly detection, and blockchain-enhanced chain of custody. The semantic integration algorithm creates a common vocabulary, maps data sources, and standardizes data first. Future algorithms employ this common representation to handle standardization, joint analysis, anomaly detection, and ownership tracking concerns. The ablation research details what each software undertakes to improve and adapt to real-time changes. The proposed performance evaluation system is more accurate, safer, customizable, and effective than present techniques. Federated learning allows numerous analysts to work together while protecting data, while ontology-driven anomaly detection detects anomalies with data consistency. Blockchain-Enhanced Chain of Custody makes Common Representation more dependable by employing a safe and independent blockchain. Forensic research in evolving data systems presents challenges, which this paradigm addresses. The offered methodologies give specialists additional tools to combine and assess multiple types of data, providing a full and flexible solution for current forensic investigations.

关键词： Accuracy Federated learning Forensics Soft sensors Semantics software algorithms Collaboration

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