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Self-triggered Distributed Formation control of Under-actuated Unmanned Surface Vehicles in GPS-denied Environments 14

Self-triggered Distributed Formation Control of Under-actuat...

引用

14th International conference on Information Science and technology, ICIST 2024

作者： He, Xintong Wang, Gaihui Liu, Lu Wang, Haoliang Peng, Zhouhua Wang, Dan School of Marine Electrical Engineering Dalian Maritime University Dalian China Changjiang Survey Planning Design and Research Co. Ltd Wuhan China

ISBN: (纸本)9798350353334

This paper presents a self-triggered distributed for-mation control method for multiple unmanned surface vehicles (USVs) with limited communication resources in GPS-denied environments. Initially, we configure a velocity quantization-based self-triggered mechanism to reduce the data exchange rate through the wireless network infrastructure. As information transmitted between vehicles is indexed rather than raw data, this approach enhances security and makes data transmission more efficient and stable. Subsequently, we develop a self-triggered distributed guidance law that functions independently of the position information of one's own vehicle as well as that of neighboring vessels. Finally, simulation results validate the effectiveness of the proposed method and highlight its potential applications in environments with weak or nonexistent GPS signals. © 2024 ieee.

关键词： Unmanned surface vehicles

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Adaptive Energy Balance control for DC-DC Converter with Auxiliary Current Module in Microgrids 7

Adaptive Energy Balance Control for DC-DC Converter with Aux...

引用

7th ieee conference on Energy Internet and Energy System Integration, EI2 2023

作者： Lin, Zhouhong Huang, Wentao Tai, Nengling School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9798350345094

DC-DC converter with auxiliary current module (ACM) is usually taken to interface the dynamic loads that have large disturbances and even power steps, such as pulsed power loads. Instantaneous voltage disturbance occurs in the converter when the load power changes, and may be delivered to the whole microgrid if fast voltage regulation is not achieved. To this end, this paper proposes an adaptive energy balance control (AEBC) for the converter. First, the estimation of system energy balance is proposed to explore the tradeoff between accelerating voltage regulation and reducing the risk of voltage overshoot. Based on the concept of energy balance, AEBC is achieved by the adaptive adjustment of the inductor currents. Under the auxiliary energy provided by the ACM, fast voltage regulation is always obtained not only under varying load transients but also under converter startup. Finally, simulation results demonstrate that the control performs well in accelerating voltage regulation, and it is easy to implement in practical applications. © 2023 ieee.

关键词： Energy balance

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A Brief Review of Unmanned Underwater Vehicle Human-Machine Interaction 9

A Brief Review of Unmanned Underwater Vehicle Human-Machine ...

引用

ieee 9th International conference on Underwater System technology - Theory and applications (USYS)

作者： Ayob, A. F. Arshad, M. R. Jamaludin, S. Ahmad, S. Z. A. Syed Univ Malaysia Terengganu Fac Ocean Engn Technol & Informat Virtual Simulator Grp VSG Kuala Terengganu Malaysia Univ Sains Malaysia Sch Elect & Elect Engn Underwater Control & Robot Grp UCRG Engn Campus George Town Malaysia Univ Malaysia Terengganu Fac Ocean Engn Technol & Informat Kuala Terengganu Malaysia

ISBN: (纸本)9798350323139

Unmanned Underwater Vehicle (UUV) research typically seeks to understand the physical performance and control aspects of the underwater vessel operated in a dynamic environment. Commonly, UUV operations involve highly orchestrated coordination to conduct surveys, maintenance, and repair missions. With the vast selection of UUV products in the market, the disparity in the standard user interface is evident. Despite the high-risk and critical operations faced by the UUV operators, very little focus has been dedicated to reviewing the human-UUV interface aspect of the operations of UUV. In this review, an area of Human Machine Interaction (HMI), within the perspective of UUV designs is discussed.

关键词： human-computer interaction HCI humanmachine interaction HMI unmanned underwater vehicle

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Evaluation of control over the Edge of a Configurable Mid-band 5G Base Station 6

Evaluation of Control over the Edge of a Configurable Mid-ba...

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6th ieee International conference on Fog and Edge Computing (ICFEC)

作者： Peng, Haorui Tarneberg, William Fitzgerald, Emma Tufvesson, Fredrik Kihl, Maria Lund Univ Dept Elect & Informat Technol Lund Sweden Warsaw Univ Technol Inst Telecommun Warsaw Poland

ISBN: (纸本)9781665495240

Mission-critical applications such as industrial control processes are evolving towards a new development paradigm by offloading their heavy computations to the edge of the emerging Fifth Generation Wireless Specifications (5G) network. In this manner, the applications can gain the economical and efficiency benefits of cloud computing, as well as reliable communication from the 5G network. However, the limited access to a configurable infrastructure of the 5G network and its edge computing infrastructure has restrained academic researchers from experimenting and validating their mission-critical application design under reasonable communication and computation scenarios. In this paper, we present a configurable mid-band 5G Stand-Alone (SA) deployment and demonstrate a control process that is running over the edge of the 5G network. We show in this paper a complete system setup for control over the Edge (CoE) of the 5G network, and validate the feasibility of deploying similar mission-critical applications over the edge of 5G network.

关键词： control over edge 5G Mission-critical application Mobile edge computing

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control of DVR Using Multilayer Gamma Filter Under Non-Ideal Grid Conditions 3

Control of DVR Using Multilayer Gamma Filter Under Non-Ideal...

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3rd ieee International conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Nagamalleswari, Vemireddy Arya, Sabha Raj Rajagopal, V. Sardhar Vallabhbhai National Institute of Technology Department of Electrical Engineering Surat395007 India Kakatiya Institute of Technology & Science Department of Ee Engineering Warangal506015 India

ISBN: (纸本)9798350319972

This paper investigates dynamic voltage restorers (DVRs) as a solution to voltage-based power quality issues. A control algorithm based on a Multilayer Gamma Filter is proposed to compensate for voltage sag, voltage swell, distortions, and phase voltage discrepancies caused by various factors in series-connected devices. To improve power quality, the proposed Multilayer Gamma Filter-based control algorithm is used for the compensator. In several ways, the Multilayer Gamma Filter outperforms traditional filter designs. To begin with, it is adaptive, which means it can change its parameters in response to various types of disturbances. Second, it has a lower computational complexity than other filters, making it a more efficient option for real-time applications. Finally, it has a high accuracy in estimating input signal parameters and a fast transient response. The system performs satisfactorily even under less-than-ideal conditions with wide voltage and load variations. The control algorithm employs two proportional integral (PI) gains to maintain the dc link voltage and terminal voltage stable. The gains of the PI controllers are critical for estimating reference load voltages correctly. The salp swarm optimization algorithm is used to optimize DVR gains. The salp swarm optimization algorithm has been demonstrated to be effective in PI tuning, providing faster convergence and improved performance over traditional tuning methods. The control system can achieve better regulation of the process variable and overall system performance by optimizing the PI gains. The optimized gains are applied to a fourth-order multilayer gamma filter to extract reference load voltages. To extract reference load voltages, the optimized gains are applied to a fourth-order multilayer gamma filter. © 2023 ieee.

关键词： Multilayers

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A Novel Deterministic Algorithm for Optimizing Workflow Discovery with Short-Loops in Large Event-Log 1

A Novel Deterministic Algorithm for Optimizing Workflow Disc...

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1st International conference on technology, Engineering, and Computing applications, ICTECA 2023

作者： Fauzan, Hermawan Bin Saikhu, Ahmad Sarno, Riyanarto Rachman, Fika Hastarista Universitas Trunojoyo Madura Department of Informatics Indonesia Institut Teknologi Sepuluh Nopember Indonesia Department of Informatics Surabaya Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Department of Informatics Surabaya Indonesia Universitas Trunojoyo Madura Faculty of Engineering Department of Informatics Indonesia

ISBN: (纸本)9798350360554

One of the main problems in process discovery is obtaining correctness workflow when analysing a Large Event-Log with high concurrent control flow, complex short loops, and uncertainty. T+ is a novel method to construct a standardization workflow model in the SWF-Net for discovering a large event log with high concurrency free-choice, parallel, and non-free-choice control flow within an uncertainty short-loop. By the testing result, the short-loop construction places with the optimistic and pessimistic One-Loop-Free approach have the best results compared to other existing methods based on deterministic, heuristic, genetic, inductive, also Integer Linear Programming algorithms. T+ has proofed achieved completeness and correctness SWF-Net with high rate on fitness recall up to 95% and appropriateness up to 90%. © 2023 ieee.

关键词： Integer programming

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Colorizing Face Sketch Images for Face Photo Synthesis

Colorizing Face Sketch Images for Face Photo Synthesis

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2023 ieee conference on Computer applications, ICCA 2023

作者： Cho, Hnin Ei Ei Myat, Aye Min Faculty of Information and Communication Technology PyinOoLwin Myanmar

ISBN: (纸本)9781665435994

It is a challenging task to convert a facial sketch into a photo image. There are numerous techniques for changing a face photograph into a sketch. But there hasn't been much research done on the conversion of face sketches into photos. Since the proposed system is ongoing research, a method for converting a face photo from a face sketch is presented in this experiment. For transforming a hand-drawn sketch into a color photo, we presented a method that uses a neural network model to convert. We intended to propose a novel generative adversarial network that performs well on transforming tasks. We applied effective loss functions by enforcing the quality of the produced photos. According to an analysis of the experimental data, the proposed method can produce accurate images from sketches, and the created photos have a big impact on how accurately people can be identified over a huge gallery set. © 2023 ieee.

关键词： Computer vision

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A Novel System to Recognize Human Gaits by Using Intelligent Learning Assisted Feature Analysis Scheme 4

A Novel System to Recognize Human Gaits by Using Intelligent...

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4th International conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Kiran, Ajmeera Kumar, Dammati Pavan Edpuganti, Sai Krishna Babu, P. Venkaiah Sane, Amruta Ramdas Deepak, V. Mlr Institute of Technology Department of Cse Hyderabad India Tirumala Engineering College Department of Cse Narsaraopet India Vignan's Lara Institute of Technology & Science Department of Information Technology Vadlamudi India Acharya Institute of Graduate Studies Department of Mba Bengaluru India Deemed to be University Bharati Vidyapeeth Pune India Koneru Lakshmaiah Education Foundation Department of Cse AP Vaddeswaram India

ISBN: (纸本)9798331508845

In the recent decade, human gait detection has evolved as a subfield of biometric authentication that uses a person's motion, time, and clothes to determine who they are. It also works well as a video surveillance system. The fundamental problem with these methods is that conventional methods of extracting and categorizing features waste too much time and produce inaccurate results. Our proposed ensemble deep learning technique for human gait detection takes use of recent developments in deep learning for a wide range of applications, including video monitoring and biometrics. We build a model using the Inception framework and the LightGBM method. The CASIA B dataset is used to fine-tune and train Inception models utilizing transfer learning. The final optimal features are then categorized with a LightGBM classifier. Experiments were run, and the results showed that the suggested model had an average accuracy of 97.25 percent, making it more accurate than recently developed state-of-the-art procedures. © 2024 ieee.

关键词： Biometrics

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Design and Simulation Analysis of Bessel Digital Low-Pass Filters 16

Design and Simulation Analysis of Bessel Digital Low-Pass Fi...

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16th ieee International conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Gu, Guangyu Gao, Zhifeng Liu, Liansheng Mao, Weiyong Liang, Jun School of Electronics and Information Engineering Harbin Institute of Technology Harbin China School of Mechanical Electrical and Information Engineering Shandong University Weihai China RIGOL Technologies Co. Ltd. Suzhou China

ISBN: (纸本)9798350327144

IIR Filters have been utilized widely in the domain of signal processing. Among the existing kinds of IIR filters, the Bessel digital filters are linear filters with maximum flat group delay in the passband. Bessel filters are widely used in applications requiring high-quality signal reconstruction and precise control of frequency characteristics, which can effectively avoid signal phase distortion. This article introduces the design method of converting a Bessel analog filter to a Bessel digital low-pass filter using bilinear transformation method in detail. The transfer function of the filters is derived theoretically. Meanwhile, the characteristics of Bessel filters are evaluated by simulation experiments. © 2023 ieee.

关键词： Transfer functions

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Nonlinear Assessment of Gait Signal Complexity in Neurodegenerative Disorders 46

Nonlinear Assessment of Gait Signal Complexity in Neurodegen...

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46th Annual International conference of the ieee Engineering in Medicine and Biology Society, EMBC 2024

作者： Udhayakumar, Radhagayathri Gopakumar, Shivapratap Rahman, Saifur Karmakar, Chandan Amrita Vishwa Vidyapeetham Center for Wireless Networks & Applications Kerala Amritapuri690525 India Amrita Vishwa Vidyapeetham The School for Sustainable Futures Kerala Amritapuri690525 India Deakin University School of Information Technology BurwoodVIC3125 Australia

ISBN: (纸本)9798350371499

The human gait cycle undergoes discernible alterations upon the onset of neurodegenerative diseases (NDD) such as Parkinson's, Huntington's, and Amyotrophic lateral sclerosis. Each specific neurodegenerative disorder imparts a distinct influence on human gait dynamics, and precise quantification of these changes holds the potential for accurate methods of NDD *** entropy algorithms, such as sample entropy (SampEn), find widespread use in physiological signal analysis. SampEn gauges signal complexity by identifying pattern matches within windowed sub-segments of the signal. However, traditional SampEn is notably dependent on user-defined parameters, particularly the tolerance parameter r, leading to inaccuracies in complexity *** profiling emerges as an alternative concept, eliminating the need for an input r parameter. This data-driven algorithm autonomously generates a set of 'r' values based on the signal's dynamics, yielding a comprehensive SampEn profile. The SampEn profile, containing extensive information about the signal's complexity, serves as a valuable resource for extracting secondary entropy *** this study, we have contrasted the efficacy of traditional SampEn with SampEn profile-based secondary features such as Total SampEn (TSE) and Median SampEn (MSE), in identifying neurological states. Our findings consistently reveal that secondary features derived from the reduced-parametric SampEn profiling method outperform the traditional parametric SE in distinguishing control cohorts from specific Neurodegenerative Disease (NDD) cohorts. © 2024 ieee.

关键词： Neurodegenerative diseases

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