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3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Abdulwahid, Ali Hadi Karetla, Girija Rani Ganesh, K.V.B. Kumar, A Suresh Radha, K. Shivakumar, K. Southern Technical University Engineering Technical College Control and Automation Engineering Department Basra Iraq Western Sydney University School of Computer Data and Mathematical Sciences Australia Koneru Lakshmaiah Education Foundation KL Business School Guntur Andhra Pradesh India Graphic Era Deemed to Be University Department of CSE India St. Martin's Engineering College Dept. of IT Secunderabad Telangana India SR University School of Computer Science and Artificial Intelligence Warangal Telangana India

ISBN: (纸本)9798350399264

An electroencephalogram that was captured with electrodes placed can easily get contaminated with a variety of artifacts. Here is a comparative of various electroencephalogram (EEG) de-noising techniques. Three alternative techniques are used to eliminate five different kinds of noise, and also the outcomes are evaluated. These three methods are just the Least Mean Square (LMS) technique, the Connected Neural Network, and also the Recursive Least-square (RLS) adaptable algorithm (FCNN). Period charts of the actual EEG signal, the noise EEG signal, and thus the predicted EEG signal are used to display the results. RRMSE and signal-to-noise ratio were utilized to compare the effectiveness of the 3 de-noising strategies in this study. Investigating the model parameters in this case, we discover the FCNN forecasts a better outcome compared to the other two methods. © 2023 IEEE.

关键词： Electroencephalography

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Toward parallel intelligence: An interdisciplinary solution for complex systems

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The Innovation 2023年第6期4卷 152-164页

作者： Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang College of Systems Engineering National University of Defense TechnologyChangsha 410073China Hunan Institute of Advanced Technology Changsha 410073China Shanghai Institute of Infectious Disease and Biosecurity Shanghai 200032China Institute of Epidemiology Helmholtz Zentrum Minchen-German Research Center for Environmental Health(GmbH)NeuherbergGermany Department of Computer Science Hong Kong Baptist UniversityHong KongChina State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling,analysis,management,and *** meet these demands,the parallel systems method rooted in the artificial systems,computational experiments,and parallel execution(ACP)approach has been *** method cultivates a cycle termed parallel intelligence,which iteratively creates data,acquires knowledge,and refines the actual *** the past two decades,the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines,offering vers atile interdisciplinary solutions for complex systems across diverse *** review explores the origins and fundamental concepts of the parallel systems method,showcasing its accomplishments as a diverse array of parallel technologies and applica-tions while also prognosticating potential *** posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.

关键词： execution artificial offering

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Approximate state estimation with large-scale sensor networks under event-based sensor scheduling strategy

Approximate state estimation with large-scale sensor network...

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IEEE Conference on Decision and control

作者： Xinhui Liu Meiqi Cheng Dawei Shi Ling Shi MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing Institute of Technology Beijing China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this paper, we investigate the issues of real-time sensor scheduling and state estimator design within large-scale sensor network systems. Specifically, data redundancy sometimes occurs in large-scale sensor arrays due to the excessive proximity of sensing units in the spatial domain, leading to high similarity in their measurement data. Currently, it is difficult to account for such redundancy in sensor scheduling algorithms found in existing literature, where the optimal subset of sensors is generally selected by optimizing objective functions formulated from certain performance criteria. To tackle this problem, we introduce an event-based sensor scheduling strategy, the triggering condition of which is designed founded on the similarity of sensor data, so as to identify the most informative subset of sensors for state estimation. To evaluate the impact of the sensor scheduling protocol on system observability, we propose a new notion of $\mathscr{E}(\varepsilon)$-observability, based on which an observability criterion is derived. In addition, we have designed a set-valued state estimation algorithm, which takes into account the intricate measurement information structure inherent within the sensor selection mechanism. The performance enhancement of the proposed estimator is also investigated. Finally, numerical experiments are conducted to validate the effectiveness of the proposed estimation algorithm and to verify the performance improvement.

关键词： Protocols Event detection Scheduling algorithms Redundancy Approximation algorithms Real-time systems Sensors State estimation Observability Sensor arrays

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Design and Implementation of 1.28 Tbps DWDM based RoF system with External Modulation and Dispersion Compensation Fiber 2

Design and Implementation of 1.28 Tbps DWDM based RoF system...

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2nd International Conference on Physics and Applied Sciences, ICPAS 2021

作者： Mohsen, D.E. Hammadi, A.M. Alaskary, A.J. Department of Computer Engineering Techniques Electrical Engineering Technical College Baghdad Iraq Department of Control and Automation Technical Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq

The improvement of 5G networks started in 2019 and is commonly accepted to bring changes not restricted to individuals' day-by-day life. The interconnection between the nodes of 5G network is realized through the utilization of optical transceiver modules and optical fibers. The most interesting part in the 5G communication network is the communication between the Central Office (CO) and the Base Station (BS), which has been widely investigated by several researchers to enhance and optimize such network performance. As a result, in this paper we demonstrate, design and implemented a) based on Dense Wavelength Division Multiplexing (DWDM Radio over Fiber (RoF) system and by using the software of Optisystem 17.1 version. Such system is considered a 32X40 Gbps of data transmission for higher speed transmission system towards the Tera bit per second (Tbps) communication. The channels of 1, 4, 8, 12, 16, 20, 24, 28 and 32 were selected as samples for the investigation. The performance analysis would be based on the parameters of the eye diagram, (Quality Factor) Q-factor and Min Bit Error Rate (BER) and for distances of 60, 120 and 180 km respectively. Analyzing results indicate a higher performance system toward the 1.28 Tbps of data rate transmission. © Published under licence by IOP Publishing Ltd.

关键词： 5G mobile communication systems

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Model Predictive control for Signal Temporal Logic Specifications with Time Interval Decomposition

Model Predictive Control for Signal Temporal Logic Specifica...

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IEEE Conference on Decision and control

作者： Xinyi Yu Chuwei Wang Dingran Yuan Shaoyuan Li Xiang Yin Thomas Lord Department of Computer Science University of Southern California Los Angeles CA USA Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China

In this paper, we investigate the problem of Model Predictive control (MPC) of dynamic systems for high-level specifications described by Signal Temporal Logic (STL) formulae. Recent works show that MPC has the great potential in handling logical tasks in reactive environments. However, existing approaches suffer from the heavy computational burden, especially for tasks with large horizons. In this work, we propose a computationally more efficient MPC framework for STL tasks based on time interval decomposition. Specifically, we still use the standard shrink horizon MPC framework with Mixed Integer Linear Programming (MILP) techniques for open-loop optimization problems. However, instead of applying MPC directly for the entire task horizon, we decompose the STL formula into several sub-tasks with disjoint time horizons, and shrinking horizon MPC is applied for each short-horizon sub-task iteratively. To guarantee the satisfaction of the entire STL formula and to ensure the recursive feasibility of the iterative process, we introduce new terminal constraints to connect each sub-task. We show how these terminal constraints can be computed by an effective inner-approximation approach. The computational efficiency of our approach is illustrated by a case study.

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Improved Performance by Designing and Building a 1.92 Tbps ROF System Using DWDM with External Modulation and DCF

Improved Performance by Designing and Building a 1.92 Tbps R...

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Advances in Engineering Science and Technology (AEST), International Conference on

作者： Mariam Lazim Ali Mahdi Hammadi Ali Al-Askery Department of Computer Engineering Middle Technical University Baghdad Iraq Department of Control and Automation Technical Engineering Middle Technical University Baghdad Iraq

Telecommunication technology is rapidly evolving, accompanied by an increase in service requirements such as higher bandwidth and service accessibility. Transferring data at high speeds and the system performance are second to none. DWDM (Dence Wavelength Division Multiplexing) can be used to meet these requirements, but it is not the only option. Long-distance transmission using DWDM systems often experiences signal degradation, which can degrade the system performance. An EDFA (Erbium-Doped Fiber Amplifier) can be used to overcome signal degradation. OptiSystem 18.0 is the DWDM link model used in this study, with a DWDM design that uses 48 channels at an average bit rate per channel of 40 Gbps. A channel spacing of 200 GHz was used. At a 50-km SMF (single-mode fiber) length, the system quality increased in terms of power and frequency spacing. With the EDFA amplifier, the linkage is 180 km long, 240 km long, and 300 km long. Changes in laser power of 10 dB were used in the study. According to the results of the analysis, power changes affect the performance of the system. DWDM with a laser power of 10 dB complies with the values of the standards for the Q factor (Quality Factor) and the BER Min Bit Error Rate parameters. The highest Q factor at a distance of 180 km is 47.008 and BER is 0 with a wavelength of 1498.213nm. The highest Q factor at a distance of 240 km is 28.19 and BER is 3.32092 * 10-175 and the wavelength is 1554.134nm. The highest Q factor at a distance of 300 km is 24.9, with BER equal to 3.66154 * 10-138, and the wavelength being 1565.495nm. According to this study, the higher the laser power used, the better the performance of the system.

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DenseSplat: Densifying Gaussian Splatting SLAM with Neural Radiance Prior

arXiv

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arXiv 2025年

作者： Li, Mingrui Liu, Shuhong Deng, Tianchen Wang, Hongyu the Department of Computer Science Dalian University of Technology Dalian China the Department of Mechano-informatics Information Science and Technology The University of Tokyo Tokyo Japan Institute of Medical Robotics Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education China

Gaussian SLAM systems excel in real-time rendering and fine-grained reconstruction compared to NeRF-based systems. However, their reliance on extensive keyframes is impractical for deployment in real-world robotic systems, which typically operate under sparse-view conditions that can result in substantial holes in the map. To address these challenges, we introduce DenseSplat, the first SLAM system that effectively combines the advantages of NeRF and 3DGS. DenseSplat utilizes sparse keyframes and NeRF priors for initializing primitives that densely populate maps and seamlessly fill gaps. It also implements geometry-aware primitive sampling and pruning strategies to manage granularity and enhance rendering efficiency. Moreover, DenseSplat integrates loop closure and bundle adjustment, significantly enhancing frame-to-frame tracking accuracy. Extensive experiments on multiple large-scale datasets demonstrate that DenseSplat achieves superior performance in tracking and mapping compared to current state-of-the-art methods. © 2025, CC BY.

关键词： Real time systems

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Dynamic model of tissue electroporation on the basis of biological dispersion and Joule heating

arXiv

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arXiv 2023年

作者： Guedert, R. Andrade, D.L.L.S. Silva, J.R. Pintarelli, G.B. Suzuki, D.O.H. Institute of Biomedical Engineering Federal University of Santa Catarina SC Florianópolis Brazil Department of Control Automation and Computer Engineering Federal University of Santa Catarina SC Blumenau Brazil

Electroporation is a complex, iterative, and nonlinear phenomenon that is often studied by numerical simulations. In recent years, tissue electroporation simulations have been performed using static models. However, the results of a static model simulation are restricted to a fixed protocol signature of the pulsed electric field. This paper describes a novel dynamic model of tissue electroporation that also includes tissue dispersion and temperature to allow time-domain simulations. We implemented the biological dispersion of potato tubers and thermal analysis in a commercial finite element method software. A cell electroporation model was adapted to account for the increase in tissue conductivity. The model yielded twelve parameters, divided into three dynamic states of electroporation. Thermal analysis describes the dependence of tissue conductivity on temperature. The model parameters were evaluated using experiments with vegetal tissue (Solanum tuberosum) under electrochemotherapy protocols. The proposed model can accurately predict the conductivity of tissue under electroporation from 10 kV/m to 100 kV/m. A negligible thermal effect was observed at 100 kV/m, with a 0.89 ◦C increase. We believe that the proposed model is suitable for describing the electroporation current on a tissue scale and also for providing a hint on the effects on the cell membrane. © 2023, CC BY-NC-SA.

关键词： Iterative methods

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Efficient STL control Synthesis Under Asynchronous Temporal Robustness Constraints

Efficient STL Control Synthesis Under Asynchronous Temporal ...

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IEEE Conference on Decision and control

作者： Xinyi Yu Xiang Yin Lars Lindemann Thomas Lord Department of Computer Science University of Southern California Los Angeles CA USA Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China

In time-critical systems, such as air traffic control systems, it is crucial to design control policies that are robust to timing uncertainty. Recently, the notion of Asynchronous Temporal Robustness (ATR) was proposed to capture the robustness of a system trajectory against individual time shifts in its sub-trajectories. In a multi-robot system, this may correspond to individual robots being delayed or early. control synthesis under ATR constraints is challenging and has not yet been addressed. In this paper, we propose an efficient control synthesis method under ATR constraints which are defined with respect to simple safety or complex signal temporal logic specifications. Given an ATR bound, we compute a sequence of control inputs so that the specification is satisfied by the system as long as each sub-trajectory is shifted not more than the ATR bound. We avoid combinatorially exploring all shifted sub-trajectories by first identifying redundancy between them. We capture this insight by the notion of instant-shift pair sets, and then propose an optimization program that enforces the specification only over the instant-shift pair sets. We show soundness and completeness of our method and analyze its computational complexity. Finally, we present various illustrative case studies.

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PDAVIS: Bio-inspired Polarization Event Camera

PDAVIS: Bio-inspired Polarization Event Camera

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Haessig, Germain Joubert, Damien Haque, Justin Milde, Moritz B. Delbruck, Tobi Gruev, Viktor Center for Vision Automation & Control High-Performance Vision Systems AIT Austrian Institute of Technology Vienna Austria University of Zurich Institute of Neuroinformatics ETH Zurich Switzerland Western Sydney University International Centre for Neuromorphic Systems The MARCS Institute Sydney Australia University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering UrbanaIL United States

ISBN: (纸本)9798350302493

The stomatopod (mantis shrimp) visual system has recently provided a blueprint for the design of paradigm-shifting polarization and multispectral imaging sensors, enabling solutions to challenging medical and remote sensing problems. However, these bioinspired frame-based cameras lack the high dynamic range and asynchronous polarization vision capabilities of the stomatopod visual system, limiting temporal resolution to ~12ms and dynamic range to ~72dB. Here we present a novel stomatopod-inspired polarization camera which mimics the sustained and transient biological visual pathways to save power and sample data beyond the maximum Nyquist frame rate. This bio-inspired sensor simultaneously captures both synchronous intensity frames and asynchronous polarization brightness change information with submillisecond latencies over a millionfold range of illumination. Our PDAVIS camera is comprised of 346x260 pixels, organized in 2-by-2 macropixels, which filter the incoming light with four linear polarization filters offset by 45°. Polarization information is reconstructed using both low-cost and low-latency event-based algorithms and more accurate but slower deep neural networks. Our sensor is used to image high dynamic range polarization scenes that vary at high speeds and to observe the dynamical properties of single collagen fibers in a bovine tendon under rapid cyclical ***: https://***/mFuCeTMWEqY © 2023 IEEE.

关键词： Polarization

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