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检索条件"主题词=Software Algorithms"

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Distributed Real Time Control of Multiple UAVs in Adversarial Environment: Algorithm and Flight Testing Results

Distributed Real Time Control of Multiple UAVs in Adversaria...

引用

IEEE International Conference on Robotics and Automation

作者： Mohamed Abdelkader Yimeng Lu Hassan Jaleel Jeff S. Shamma King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

We present a complete design and implementation of a system that consists of multiple quadrotors playing capture the flag game. Our main contributions in this work include a custom built quadrotor platform, an efficient implementation of a distributed trajectory planning algorithm, and a WiFi based communication infrastructure. In our design, we equip the quadrotors with autopilot modules for low level control. Moreover, we install low power computing modules for implementing the distributed trajectory planning algorithm online. Furthermore, we develop a communication infrastructure to enable coordination among the quadrotors, which is required for computing a suboptimal control action in real time. The interactions among all the hardware and software components are managed at a higher level by Robot Operating System (ROS). To test the performance of the system, we select a motivating setup of capture the flag game, which is an adversarial game played between two teams of agents called attack and defense. The system is initially simulated in the Gazebo robot simulator with software in the loop. Finally, the complete system is tested and the flight testing results are presented.

关键词： Games software algorithms software Hardware Real-time systems Testing Computational modeling

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FCBHS: a fast center-biased hybrid search algorithm for fast block motion estimation

FCBHS: a fast center-biased hybrid search algorithm for fast...

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： Su-Bong Hong Hyoseok Lee Geun-Young Chun Hyunki Baik Myong-Soon Park Department of Computer Science and Engineering Korea University Seoul South Korea

ISBN: (纸本)0769515061

Describes a fast block-matching algorithm (BMA) for motion estimation exploiting the center-biased motion vector distribution characteristic more efficiently than the center-biased hybrid search (CBHS) algorithm does. This proposed algorithm, which is called the "fast center-biased hybrid search" (FCBHS), employs a hybrid method of a compact plus-shaped search, an X-shaped search and a diamond search to reduce the search point for motion vectors which are distributed within a 2-pixel radius of the center of the search window. Experimental results show that the FCBHS algorithm is about 44 times faster than a full search and 7-10% faster than the CBHS algorithm. Such a fast sub-optimal motion estimation algorithm is essential for situations which have limited processing power and constraints on the amount of power consumption, like real-time mobile video coding applications. This paper compares the popular sub-optimal block-matching technique with FCBHS, for which both the processing speed and the accuracy of motion compensation are tested over widely-used H.263 test video sequences.

关键词： Motion estimation Video coding Video sequences software algorithms Computer science Motion compensation Testing Streaming media Mobile computing Application software

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Research on low-power microprocessor design and optimization technology

Research on low-power microprocessor design and optimization...

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Power, Electrical Engineering, Electronics and Control (PEEEC), International Conference on

作者： Yiqun Zhang Shuai Zhang Luyao Feng Weifang Engineering Vocational College Qingzhou Shandong China

ISBN: (数字)9798350378917

ISBN: (纸本)9798350378924

In modern electronic systems, the energy efficiency of microprocessors has become an important factor in determining their performance and application scope. With the rapid development of mobile devices, Internet of Things (IoT) and portable electronics, low-power microprocessor design has become particularly important. The aim of this paper is to explore low-power microprocessor design and optimization techniques, focusing on how to effectively reduce power consumption without significantly affecting performance. We begin with an overview of the fundamentals and major challenges of low-power design, followed by an in-depth analysis of a variety of optimization techniques at the architectural level, circuit level, and algorithmic and software levels. This paper demonstrates the effects and tradeoffs of these techniques in practical applications through specific case studies, and provides an outlook on future trends and research directions in low-power microprocessor design. It provides a theoretical foundation and practical guidance for realizing more efficient and energy-saving microprocessor design, which has important academic value and application prospects.

关键词： Performance evaluation Power demand software design Microprocessors Heuristic algorithms software algorithms software Mobile handsets Internet of Things Optimization

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CER-S, an ECG Platform for the Management of Continuous ECG Recordings and Databases

CER-S, an ECG Platform for the Management of Continuous ECG ...

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Computers in Cardiology (CinC)

作者： Martino Vaglio Pierre Maison-Blanche Gianfranco Toninelli Lamberto Isola Francesca Ferrari Fabio Badilini AMPS LLC New York NY USA Centre Médico Chirurgicaux Ambroise Paré Neuilly-sur-Seine France Department of Physiologic Nursing UCSF Center for Physiologic Research San Francisco CA USA

We introduce three new databases of ambulatory Continuous ECG Recordings. The databases consist of 24-hour Holter records acquired in clinical practice from various acquisition devices, including longer recordings from new patch devices. All cardiac events, both rhythm and beat annotations, have been manually reviewed and adjusted by an expert cardiologist with more than 25 years of experience on reviewing Holter data. ECG recordings are organized in different categories based on the predominant arrhythmic events. The databases (total of 1300 records) have been annotated and can be reviewed by CER-S, a software platform used to manage multi-vendor continuous ECG data. CER-S includes two automatic algorithms: 1) ABILE, for the detection of ECG beats and for arrhythmia assessment and 2) BRAVO for the quantitative measurement of the ECG waveforms), either at the beat level or on Time-averaged templates. CER-S has a rich graphical interface with several tools for optimal review and editing both at the ECG beat and arrhythmia level. The tool allows manual entry of other arrhythmia not yet automatically detected by ABILE algorithm and the customization of a clinical report.

关键词： Databases Annotations Arrhythmia software algorithms Manuals Electrocardiography Rhythm

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Research of AI Driven Light Health and Therapy

Research of AI Driven Light Health and Therapy

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IEEE Annual International Computer software and Applications Conference (COMPSAC)

作者： Xiaofei Wang Yi Zhao Tao Yu Jie Ren Huafeng Yan Jian Song Department of Electronic Engineering Tsinghua University Beijing China Photomedicine Laboratory Beijing Tsinghua Changgung Hospital Beijing China Department of Architecture Tongji University Shanghai China Medpower Technology Co. Ltd Suzhou China

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

This article reports an experimental system of light health and therapy driven by Artificial intelligence (AI) technology. Light health and therapy, also known as phototherapy, is a therapy used to treat a variety of depression and neurodegenerative diseases, such as Seasonal Affective disorder (SAD) and Alzheimer's Disease (AD). Light therapy affect activity, functional connectivity and plasticity of multiple brain regions by adjusting the frequency and color temperature of illuminating system. The retina converts photon into electrical signals and transmits these stimulus into central nervous system to make resonances and oscillations to boost human mood and improve cognitive function. In life science, non-imaging vision system refers to light signal projected to the higher brain region through intrinsically photosensitive retinal ganglion cell (ipRGC cell) to participate in the regulation of circadian rhythm, emotion, cognition and other functions. The mechanism of this physiological phenomenon is not fully understood. This article introduce AI technology to make a closed loop experimental system to study this phenomenon. The goal of this paper is to use AI technology to analyze the input light stimulus and human physiological electrical signals, and try to find out the corresponding nonlinear relationship to guide the stimulation of light therapy.

关键词： software algorithms Medical treatment Resonant frequency Retina Physiology software Regulation

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Tool Support for Developing Advanced Mechatronic Systems: Integrating the Fujaba Real-Time Tool Suite with CAMeL-View

Tool Support for Developing Advanced Mechatronic Systems: In...

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International Conference on software Engineering (ICSE)

作者： Sven Burmester Holger Giese Stefan Henkler Martin Hirsch Matthias Tichy Alfonso Gambuzza Eckehard Munch Henner Vocking Software Engineering Group University of Paderborn Germany Hasso-Plattner-Institute University of Potsdam Germany University of Paderborn Germany Control Engineering Group University of Paderborn Germany

The next generation of advanced mechatronic systems is expected to use its software to exploit local and global networking capabilities to enhance their functionality and to adapt their local behavior when beneficial. Such systems will therefore include complex hard real-time coordination at the network level. This coordination is further reflected locally by complex reconfiguration in form of mode management and control algorithms. We present in this paper the integration of two tools which allow the integrated specification of real-time coordination and traditional control engineering specifically targeting the required complex reconfiguration of the local behavior.

关键词： Mechatronics Real time systems software engineering Control engineering Power engineering and energy Next generation networking software tools software algorithms Model driven engineering Collaborative software

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Advanced IFOC Strategy for Enhanced Performance of Triple Star Induction Motors (TSIM) Powered by Novel Five-Level Inverters

Advanced IFOC Strategy for Enhanced Performance of Triple St...

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Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： Taha Hamidatou Ameur Miloud Kaddouri Abdellah Kouzou Abdelkader Mida Halimi Soufiane Zemitte Seddik Faculty of Science and Technology University of Djelfa Djelfa Algeria Faculty of Applied Sciences University of Ouargla Ouargla Algeria Faculty of Science and Technology University of Adrar Adrar Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

This conference paper investigates the indirect field oriented control (IFOC) of a triple star induction motor (TSIM) powered by a five-level inverters. The dynamic modeling of the TSIM was presented, followed by the design and implementation of the IFOC algorithm. The combination of IFOC and advanced inverter technology holds the potential to significantly improve the motor's dynamic response and reduce harmonic distortions in the current and voltage waveforms. In order to achieve the results, A numerical simulation was carried out using SIMULINK tool from MATLAB software, and the results confirm the proposed control method's success in reducing losses and enhancing the overall performance of the motor.

关键词： Motor drives Electric potential Technological innovation Induction motors software packages Heuristic algorithms software algorithms

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Enhancing the Handwritten Digit Recognition by Employing Novel Progressive VGG19 Model and Compare with SVM Performance

Enhancing the Handwritten Digit Recognition by Employing Nov...

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International Conference on Computing and Networking Technology (ICCNT)

作者： G Harish Kumar K Jaisharma Dept of CSE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

This research aims to predict handwritten digits using the innovative Novel Progressive VGG19 algorithm, contrasting the SVM performance. The Novel Progressive VGG19 is applied to a sample size of 74 sets, while the SVM algorithm is utilized with a sample mean size of 74 sets, totaling 148 sets for comprehensive comparison and heightened research accuracy. Mean accuracy is computed using ClinCalc software in supervised learning, adopting an alpha value of 0.5, a G-Power value of 80%, and a 95% confidence interval. The Novel Progressive VGG19 achieves an accuracy of 74.65%, surpassing the SVM algorithm’s accuracy of 52.32%. An Independent Samples T-Test indicates a significant p-value of 0.000 ($\mathrm{p}(\lt){0. 0 5}$), affirming statistical significance. Through this investigation, the Novel Progressive VGG19 algorithm is evaluated against the SVM algorithm, revealing the former’s superior performance. The results establish that the Novel Progressive VGG19 exhibits greater accuracy and precision in predicting handwritten digits compared to the SVM algorithm.

关键词： Support vector machines Accuracy Attention mechanisms Computational modeling software algorithms Supervised learning Predictive models Prediction algorithms Transformers software

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Auto Motor Production Line Process Monitoring and Optimal Control System Based on Configuration Principle

Auto Motor Production Line Process Monitoring and Optimal Co...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Aiping Li Nan Xie Yanwei Cui Institute of Advanced Manufacturing Technology University of Tongji Shanghai China

A novel auto motor production line control system is presented to achieve reconfiguration production that deals with quick reaction to multi-product and lots variations. Based on configuration principle, the whole system includes configuration software subsystem, workshop scheduling subsystem using Petri net-GA algorithm, process variables data collection and analysis subsystem. The configuration software is the core part to manage new production line configurations. The control system can be configured easily for the process monitoring of a given auto motor specification since reconfigurable components are modular structures. The principle and framework of the system are explained in detail, and furthermore, the example of application to SAAE Co., Ltd. is discussed that illustrates the effectivity of the proposed control system

关键词： Production systems Monitoring Optimal control Control systems software systems software algorithms Scheduling algorithm Data analysis Algorithm design and analysis Application software

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Adopting Metamorphic Relations to Verify Non-Testable Graph theory algorithms

Adopting Metamorphic Relations to Verify Non-Testable Graph ...

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International Conference on Advances in Computing and Communication Engineering (ICACCE)

作者： Chittineni Aruna R. Siva Ram Prasad Department of CSE KKR & KSR Institute of Technology and Sciences Guntur Andhra Pradesh India Acharya Nagarjuna University Nagarjuna Nagar Andhra Pradesh IN

Test oracles are playing a vital role in automated software testing to determine whether the test cases are succeeded or not. Designing the test cases become rigid in some areas of application testing due to the complexity and unavailability. Metamorphic testing emerged as an alternate to alleviate the test oracle problems in testing, by implementing metamorphic relations instead of test oracles. Many researchers were applied metamorphic testing to various real time applications like Machine Learning, bioinformatics, Network simulations, Computer graphics and compilers to overcome the test oracle problem and to feasible result verification. Graph Theory is a prominent non-numeric technology of mathematics and widely used in many gaming and other real time applications. Testing and verifying these combinatorial graph theory applications with test oracle is a very expensive and inaccurate process under many circumstances. In this paper we proposed metamorphic testing to address the problems of testing graph theory applications. This process employs the metamorphic relations of graph theory to simplify testing and alleviates the expensive test oracle utilization. Our case studies on shortest path and minimal spanning tree testing explains the applicability and advantages of metamorphic relations in the area of graph theory in detail.

关键词： Testing Graph theory Algorithm design and analysis Reliability theory Accuracy software algorithms

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