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Journal of Institute of Control, robotics and systems 2024年第8期30卷 853-862页

作者： Park, Changhan Satellite System 1 Team Space R&D Center Hanwha Systems Co. Ltd Korea Republic of

To process large amounts of data due to the short revisit cycle characteristics of micro-satellite synthetic aperture radar (SAr) systems and to compensate for performance degradation due to weight reduction and miniaturization, the target identification must be improved through super-resolution (Sr) for low-resolution (Lr) satellite SAr images. In this paper, we generate Sr satellite SAr images using the real-enhanced Sr generative adversarial networks (real-ESrGAN) for Lr satellite SAr images and present the similarity of the peak signal-to-noise ratio (PSNr) and the structural similarity index measure (SSIM) for the segmentation with corresponding pairs based on key-points. SAr images are characterized by the location and intensity of major scattering points, unlike optical images. Therefore, it is necessary to understand the characteristics of the key-points detection method by considering the removal of clutter noise in the background and speckle noise around the target, outline, or boundary. Scale invariant feature transform (SIFT), speeded-up robust feature (SUrF), binary robust invariant scalable key-points (BrISK), and oriented features from an accelerated segment test and rotated binary robust independent elementary features (OrB) are used as key-points detection methods, and the segmentation is generated for a local area with corresponding pairs based on key-points using the random sample consensus (rANSAC) method. As a result of the experiment, in the Sr satellite SAr image, the PSNr in the segmentation with key-point-based corresponding pairs was high at the average 0.3850dB, and the SSIM was low at the average 0.0718, but when the background was included, the PSNr was maximum at 29.6937dB, and the SSIM was maximum at 0.5396. © ICrOS 2024.

关键词： Image segmentation

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A Cross-Company Architecture for Cyber-Physical Production systems and its Industrial Use 64

A Cross-Company Architecture for Cyber-Physical Production S...

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2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of riga Technical University, ITMS 2023

作者： Meyer, Friedrich Benisch, Michael F. Baueregger, Florian Zimmermann, Armin R&d System Software Rohde & Schwarz GmbH & Co. Kg Teisnach Germany Deggendorf Germany Digital Factory Rohde & Schwarz GmbH & Co. Kg Teisnach Germany Systems and Software Engineering Group Technische Universität Ilmenau Ilmenau Germany

ISBN: (纸本)9798350370294

Cyber-physical systems are expected to be an enabler for better control of production systems. They require a combination of heterogeneous sensors and systems processing data from various sources. We present an architecture for cyber-physical production systems for cross-company sensor integration, ensuring the necessary data safety. Its design targets generalizability and performance. A real-life industrial application in the area of optical components polishing demonstrates the benefits. © 2023 IEEE.

关键词： data handling

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Expanding carbon neutrality strategies:Incorporating out-ofboundary emissions in city-level frameworks

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Environmental Science and Ecotechnology 2024年第4期20卷 145-153页

作者： Zhe Zhang Mingyu Li Li Zhang Yunfeng Zhou Shuying Zhu Chen Lv Yixuan Zheng Bofeng Cai Jinnan Wang Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100043China School of Environment Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing100084China R&D and International Cooperation Office Chinese Academy of Environmental PlanningBeijing100043China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100043China

Cities are increasingly vital in global carbon mitigation efforts,yet few have specifically tailored carbon neutrality ***,out-of-boundary indirect greenhouse gas(GHG)emissions,aside from those related to electricity and heat imports,are often overlooked in existing pathways,despite their significance in comprehensive carbon mitigation *** this gap,here we introduce an integrated analysis framework focusing on both production and consumption-related GHG *** to Wuyishan,a service-oriented city in Southern China,this framework provides a holistic view of a city's carbon neutrality pathway,from a full-scope GHG emission *** findings reveal the equal importance of carbon reduction within and outside the city's boundaries,with out-of-boundary emissions accounting for 42%of Wuyishan's present total GHG *** insight highlights the necessity of including these external factors in GHG accounting and mitigation strategy *** framework serves as a practical tool for cities,particularly in developing countries,to craft effective carbon neutrality roadmaps that encompass the full spectrum of GHG emissions.

关键词： Greenhouse gas emissions Full-scope emission accounting Carbon neutrality pathway City-level

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residual Signature Analysis for Wind Turbine Failure Prognosis

Residual Signature Analysis for Wind Turbine Failure Prognos...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Topon Paul Vidhisha reddy Sai Prem Kumar Ayyagari Kaneharu Nishino System AI Laboratory Corporate R&D Center Toshiba Corporation Kanagawa Japan R&D Division Toshiba Software (India) Pvt. Ltd. Bangalore KA India

In operation and maintenance of wind turbines, predictive maintenance is widely used to reduce the downtime and low operating efficiency due to failure of a wind turbine, in which the condition of a wind turbine is continuously monitored and measured by attaching a number of sensors, sign of near-future failure or degradation is detected early before the actual failure occurs, and faulty parts are replaced or maintenance is performed. In this context, automatic prognosis of failure by analyzing the time-series data of the attached sensors is very important. recently, various machine learning techniques are proposed where sign of failure is predicted based on the residual errors between the actual condition and predicted condition of a wind turbine with a prediction model built by using the time-series data. However, when the residual errors fluctuate due to external factors, this conventional approach may generate many false alarms and/or overlook potential points of failure prognosis. In this paper, we propose residual Signature Analysis (reSA) that generates anomaly scores by applying signal processing and clustering techniques on the segmented residual errors, which are generated by applying a prediction method on the time-series data. To show the effectiveness of the proposed method, we apply reSA to three wind turbines of two publicly available datasets and show the experimental results. Our experimental results suggest that our proposed method can detect sign of failure much earlier than actual time of failure with a very low rate (<0.75%) of false alarms compared to conventional residual analysis-based approach.

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Methods for Improving the Performance of Tactical Information displays

Methods for Improving the Performance of Tactical Informatio...

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International Conference on Big data and Smart Computing (BIGCOMP)

作者： Byoung-Kug Kim Yonghoon Cha Jae-Hwan Lim Keun-Woong ryu Heon-Jei Park Sung-Hwa Hong dept. of computer software Induk University Seoul Korea dept. of R&D Center Koreanair Daejeon Korea dept. of R&D Center Link Nine System Daejeon Korea CEO Link Nine System Daejeon Korea dive of Nav. Info. System Mokpo National Maritime Univ. Mokpo Korea

In Tactical situation display, lots of tactical information are expressed as symbols with an electronic map. There are various symbols depending on the situation throughout the mission (i.e., planning/operating/debriefing), and coordinate calculation is essential to display them in the appropriate location on the electronic map. Many tactical displays implement appropriate functionality to determine the location of each symbol, but they are affected by the performance of the computer processor. This proposal designs a method to decrease the overall display latency through fast positioning.

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Compressor acoustic profile improvement in preheating mode

Compressor acoustic profile improvement in preheating mode

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International Ural Conference on Ural Conference on AC Electric drives (ACEd)

作者： Anton dianov System Lab Daeyoung R&D Center Yongin Republic of Korea

Quite operation of home appliances is one of the most significant criteria used by customers, when they select the exact device among several devices with similar functionality. In such circumstances, even minor noise, which happens quite rarely, may negatively impact on the choice of customers. Thus, makers of various device for home wage a war on every excessive noise. As a result, various methods for noise control became an attractive and popular topic, involving talented researchers. This paper studies acoustic noise in preheating mode of compressors, where motor does not rotate thus decreasing background noise. In these conditions other minor noises become notable and significantly impact noise profile of the compressors. In the preheating mode of compressor, the dC current is injected into motor windings warming them. This heat transfers through the motor parts and compressor shell to the oil located at the bottom of compressor. This operation is required in order to decrease oil viscosity and guarantee normal operation of mechanical part. However injected current produces noise, which is undesired and should be decreased as much as possible. This research proposes and analyzes several approaches to compressor preheating and select the most silent one.

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Super-resolution of SAr Target Images Using real-ESrGAN

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Journal of Institute of Control, robotics and systems 2024年第1期30卷 13-19页

作者： Park, Changhan Satellite System 1Team Space R&D Center Hanwha Systems Co. Ltd Korea Republic of

To identify small targets via deep learning from micro-satellite synthetic aperture radar (SAr) low-resolution (Lr) images, small-target learning data must be obtained by considering the concept of micro-satellite SAr operating systems. However, securing actual micro-satellite SAr small-target Lr images is difficult. Super-resolution (Sr) technology is necessary to improve target identification performance for an SAr Lr image. In this study, we obtained Sr results for SAr target and background Lr images, which were converted using real-ESrGAN. We utilized real-ESrGAN with a peak signal-to-noise ratio (PSNr)-oriented model that considered the noise characteristics of scattering points when SAr images were generated, to improve the identification of the SAr target Lr images. We also applied Sr to MSTAr SAr target and real satellite SAr images using bicubic interpolation, real-ESrGAN, real-ESrNet, and real-ESr models. Finally, we analyzed the PSNr and structural similarity (SSIM) for a similarity evaluation of the SAr Sr images. The experimental results revealed an average PSNr of 25.22 dB and SSIM of 0.68 compared to the original SAr images. This indicated the effectiveness of real-ESrGAN in removing subtle noise characteristics, owing to the more refined and high-resolution scattering points obtained with this method. © ICrOS 2024.

关键词： Synthetic aperture radar

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A Machine Learning-Based Link Quality Assistance at Transport Layer for High-Frequency Networks

A Machine Learning-Based Link Quality Assistance at Transpor...

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IEEE International Conference on Communications (ICC)

作者： Jamsheed Manja Ppallan Sukhdeep Singh Karthikeyan Arunachalam Connectivity R&D Samsung R&D Institute India-Bangalore Bangalore India Secure System Research Center Technology Innovation Institute Abu Dhabi UAE

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Operating in high-frequency bands such as mmWave and Terahertz poses challenges due to frequent variations in channel quality. These fluctuations impact the radio protocol stack, increasing latency and reducing throughput. Existing transport layer protocols need help to adapt to the high variability of link quality and network capacity, leading to the under-utilization of resources. The absence of radio link information further hinders the transport layer's ability to handle dynamic channel conditions. This paper presents Machine Learning-based Cross Layer Improvement (ML-CLI) of the transport layer, a novel solution designed to address the challenges posed by dynamic link variations in high-frequency bands. ML-CLI leverages real-time wireless network quality estimation to optimize the transport layer for an enhanced quality of service (QoS). Various ML and deep learning models for link quality prediction are evaluated, with the Artificial Neural Network (ANN) model emerging as the top-performing model, achieving an accuracy of 98.1% and an F1-score of 0.98. The integration of ML-CLI into the ns3 simulator enables the assessment of its impact on the transport layer. The results demonstrate substantial goodput and packet loss ratio improvements, with ML-CLI providing faster recovery and improved congestion control. Notably, ML-CLI achieves a 45.22% improvement in goodput and up to a 38.52% reduction in packet loss ratio compared to the traditional TCP Cubic variant.

关键词： Cross layer design Protocols Fluctuations Accuracy Wireless networks Estimation Packet loss

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GPU Acceleration Method Based on range-doppler Highly Squint Algorithm 4

GPU Acceleration Method Based on Range-Doppler Highly Squint...

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4th China International SAr Symposium, CISS 2023

作者： Gao, Yang Han, JianHui Tian, Hongnan Zhang, ruigang Zheng, ShiChao Wang, Hui Shanghai Academy of Spaceflight Technology Beijing R&d Center Shanghai Key Laboratory of Aerospace Milimeter Wave Information Technology Beijing China Shanghai Academy of Spaceflight Technology Beijing R&d Center Department of Electronic System Beijing China Shanghai Institute of Satelite Engineering Shanghai Key Laboratory of Aerospace Milimeter Wave Information Technology Shanghai China

ISBN: (纸本)9798350307955

Synthetic Aperture radar (SAr) imaging has the characteristics of all-weather, all-sky time and strong ground penetration, which can obtain high resolution two-dimensional images under unfavorable conditions, and promote the construction of national defense. Highly squinted SAr has the ability to detect in the slant forward area of the carrier in advance and has strong flexibility. With the improvement of processing resolution, the amount of data increases significantly, and the real-time processing is difficult to be satisfied. This paper proposes a GPU acceleration method based on highly squinted SAr imaging algorithm, and introduces the acceleration steps of the imaging algorithm under the cooperation of CPU and GPU in detail. The results show that, under the GPU operation, especially the acceleration ratio of range migration correction exceeds 80, the imaging efficiency is significantly improved, which has high practical value. © 2023 IEEE.

关键词： Graphics processing unit

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design of X-ray Generator Simulator 1

Design of X-ray Generator Simulator

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1st International Conference on recent Trends in Microelectronics, Automation, Computing and Communications systems, ICMACC 2022

作者： Shinde, Akash Mali, Swapnil G Thekkuttu, Sreekumar College of Engineering Pune Dept. of Extc Maharashtra Pune411005 India System Software Architect Igt Systems Hic R&D Philips Pune India

ISBN: (纸本)9781665496049

X-ray machine systems are used to acquire X-ray images of internal human body parts. A C-arm is a type of X-ray machine system used to produce X-ray images of desired body parts. The creation of X-rays is essential to the development of X-ray images. An X-ray generator built within the C-arm system produces the X-rays. The Master Controller is the brain of C-arm systems, which monitors and controls all the components of the C-arm system. Communication between the Master Controller and the X-ray generator is required in order to regulate the various functionalities of the X-ray generator. Using an actual X-ray generator to test the C-arm system's performance can be expensive and time-consuming. Thus, it is necessary to create a simulator that may take the role of an X-ray generator. In this research, a novel method for creating an X-ray generator simulator that uses an Arduino board in place of the X-ray generator is discussed. The Arduino board is programmed to perform like an X-ray generator, and communication between the Arduino board and Master Controller is obtained to simulate the functionalities of an X-ray generator. © 2022 IEEE.

关键词： Controllers

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