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International Symposium on Antennas and Propagation (ISAP)

作者： Minkyu. Park Wooyong. Yang Chanhong. Park dongjin. Yeom Sanghyun. Park Hanwha Systems Radar R&D Center Cheoin Yongin Korea Agency for Defense Development Daejeon Korea

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

In modern radars, electronic beam steering using phased-array antennas is prevalent to achieve rapid beam steering response times. However, if the phase values differ from those that control the phase of each individual element, the performance of the antenna radiation pattern will degrade (antenna gain reduction, sidelobe level increase). Initially, during antenna manufacturing, calibration table is obtained to compensate for phase offsets due to manufacturing process errors, etc., using near-field measurements (off-line calibration). real-time phase calibration (on-line calibration) is essential to compensate for phase errors caused by changes in rF device characteristics, such as temperature changes, during radar operation. A common transmitter phase calibration method involves constructing an individual calibration line for each array element and detecting the transmitter phase of the array element using the signal coupled to the calibration line as a result of the antenna array element transmission [1] . This paper presents a method and experimental results for accelerating the transmitter calibration of a fully digital phased-array antenna using OFdM.

关键词： Phased arrays Temperature measurement Antenna measurements Beam steering OFdM Transmitting antennas radar radar antennas Calibration Antenna radiation patterns

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Infrared Thermal Imaging for Embedded Child Presence detection System: Feasibility and Performance Evaluation

Infrared Thermal Imaging for Embedded Child Presence Detecti...

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IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)

作者： Cheol-Ho Choi Seongtaek Hong Eun Jin Jeong Joonhwan Han Pangyo Research and Development (R&D) Center Hanwha Systems Co. Ltd. Seongnam Republic of Korea

ISBN: (数字)9798331530839

ISBN: (纸本)9798331530846

In the automotive industry, regulations and standards mandate that Child Presence detection (CPd) systems must be installed. Most current CPd systems utilize radar or visible cameras to identify the presence or absence of objects based on bio-signals or movement information. However, these systems cannot determine if an emergency situation, such as heatstroke, occurs as the temperature inside the vehicle rises. In this paper, we propose an architecture for a thermal imaging-based CPd system that can perform simultaneous object detection, recognition, and status assessment, while also monitoring the internal environment of the vehicle. We further evaluate the feasibility of this thermal imaging-based CPd system in meeting the performance requirements outlined by regulations and standards for in-cabin use.

关键词： Support vector machines Image recognition systems architecture radar imaging Cameras regulation Vectors Thermal analysis Standards Automotive engineering

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Improved Contrast Enhancement Algorithm for Night Vision systems using Thermal Camera

Improved Contrast Enhancement Algorithm for Night Vision Sys...

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International SoC design Conference, ISOCC

作者： Cheol-Ho Choi Jeongwoo Cha Jonnhwan Han Hyunmin Choi Jungho Shin Pangyo Research and Development (R&D) Center Hanwha Systems Co. Ltd. Seongnam Republic of Korea

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377095

Long-wave infrared-based thermal cameras employing uncooled detectors are extensively utilized in the night vision systems of autonomous driving platforms. In these cameras, contrast enhancement process is necessary to transition from low dynamic range to high dynamic range. Therefore, in this paper, we propose an improved contrast enhancement algorithm utilizing histogram equalization with gamma correction.

关键词： Night vision Histograms Visualization Heuristic algorithms detectors Cameras High dynamic range Autonomous vehicles

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Algorithm for LWIr Thermal Imaging Camera with Minimal Mechanical Shutter Utilization

Algorithm for LWIR Thermal Imaging Camera with Minimal Mecha...

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IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)

作者： Taehyun Kim Joonhwan Han Jeongwoo Cha Hyunmin Choi Jungho Shin Eunchong Kim Hyun Woo Oh Cheol-Ho Choi Seongtaek Hong Taehyung Kim Pangyo Research and Development (R&D) Center Hanwha Systems Co. Ltd. Seongnam Republic of Korea

ISBN: (数字)9798331530839

ISBN: (纸本)9798331530846

Uncooled LWIr (Long-Wave Infrared) thermal imaging cameras are characterized by non-uniformity. because infrared detectors exhibit nonlinear characteristics depending on the environmental temperature. In this paper, we propose a method to smoothly transition between a method of correcting non-uniformity using a shutter one time when the thermal imaging camera is not stable at the start-up, and a method of correcting non-uniformity by performing conventional NUC (Non-Uniformity Correction) when thermal image camera is stabilized. The proposed method was confirmed to have similar performance to the conventional method in which the thermal imaging camera uses the shutter several times during initial start-up. The conventional method closes the shutter multiple times to correct non-uniformity, which obscures information necessary for driving. In contrast, the proposed method closes the shutter only one time during initial start-up to correct non-uniformity, which does not obscure information necessary for driving. Therefore, it is suitable for auxiliary systems used in autonomous driving platforms.

关键词： Infrared detectors Temperature dependence Temperature detectors Cameras Automobiles Sun Thermal stability Autonomous vehicles

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Fast Object detection Algorithm using Edge-based Operation Skip Scheme with Viola-Jones Method

Fast Object Detection Algorithm using Edge-based Operation S...

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IEEE International Conference on Artificial Intelligence Circuits and systems (AICAS)

作者： Cheol-Ho Choi Joonhwan Han Jeongwoo Cha Jungho Shin Hyun Woo Oh Pangyo Research and Development (R&D) Center Hanwha Systems Co. Ltd. Seongnam Republic of Korea

ISBN: (数字)9798350383638

ISBN: (纸本)9798350383645

Machine learning approaches are preferred over deep learning in embedded systems due to their resource efficiency. The widely adopted Viola-Jones method and related algorithms are selected for their high detection accuracy and reasonable processing speed. However, a limitation arises as processing time increases with additional classification iterations based on sub-window operations. To address this issue, we propose an enhanced object detection algorithm that incorporates the Viola-Jones method with edge component calibration and an edge-based operation skip scheme. The introduction of edge component calibration ensures detection performance comparable to conventional methods. This scheme, relying on edge values, significantly reduces unnecessary computations in the background, leading to a marked decrease in classification operations compared to conventional methods. Visual comparisons in experimental results demonstrate that our method increases the detection precision factor while maintaining recall. In terms of classification operations, our approach reduces their number by 31.38% to 85.78% compared to conventional methods. In simpler terms, our method improves processing speed by minimizing classification operations, making it well-suited for embedded systems with limited resource utilization.

关键词： Visualization Embedded systems Machine learning algorithms Image edge detection Object detection Transforms Classification algorithms

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High-voltage converter with 2 kV SiC MOSFETs for electric fast charging stations

High-voltage converter with 2 kV SiC MOSFETs for electric fa...

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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： derix, david Blaum, Christian Kruschel, Wolfram Heer, daniel Hensel, Andreas Pfeiffer, Jonas Mier, Ainhoa Puyadena Mena Carrillo, Juan Thoma, Jurgen drexler, Christoph Schmidhuber, Michael Friedrichs, Peter Power Electronics and Grid Integration Fraunhofer Institute for Solar Energy Systems Freiburg Germany Advance R&d Sumida Components & Modules GmbH Germany Power Module Development Infineon Technologies Ag Warstein Germany Technical Marketing Infineon Technologies Ag Warstein Germany Business Excellence Infineon Technologies Ag Munich Germany Technology Development Infineon Technologies Ag Erlangen Germany

ISBN: (纸本)9798350364446

In this project, the power electronic system technology for future high-performance charging systems along highways or large inner-city electric charging stations with several MVA system sizes with reduced material demand is presented. The concept is based on a dC bus with 1.5 kV and corresponding high efficient power electronics to connect the vehicles to the dC grid. This approach leads to a cost-efficient system. Key components are an electrically isolated dC converter based on 2 kV SiC power modules and an inductive transformer with switching frequencies up to 50 kHz and an output power of 175 kW. © 2024 IEEE.

关键词： Fast charging (Batteries)

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PepINVENT: Generative peptide design beyond the natural amino acids

arXiv

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arXiv 2024年

作者： Geylan, Gökçe Janet, Jon Paul Tibo, Alessandro He, Jiazhen Patronov, Atanas Kabeshov, Mikhail david, Florian Czechtizky, Werngard Engkvist, Ola de Maria, Leonardo BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Division of Systems and Synthetic Biology Department of Life Sciences Chalmers University of Technology Gothenburg Sweden BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Medicinal Chemistry Research and Early Development BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg Sweden

Peptides play a crucial role in the drug design and discovery whether as a therapeutic modality or a delivery agent. Non-natural amino acids (NNAAs) have been used to enhance the peptide properties from binding affinity, plasma stability to permeability. Incorporating novel NNAAs facilitates the design of more effective peptides with improved properties. The generative models used in the field, have focused on navigating the peptide sequence space. The sequence space is formed by combinations of a predefined set of amino acids. However, there is still a need for a tool to explore the peptide landscape beyond this enumerated space to unlock and effectively incorporate de novo design of new amino acids. To thoroughly explore the theoretical chemical space of the peptides, we present PepINVENT, a novel generative AI-based tool as an extension to the small molecule molecular design platform, rEINVENT. PepINVENT navigates the vast space of natural and non-natural amino acids to propose valid, novel, and diverse peptide designs. The generative model can serve as a central tool for peptide-related tasks, as it was not trained on peptides with specific properties or topologies. The prior was trained to understand the granularity of peptides and to design amino acids for filling the masked positions within a peptide. PepINVENT coupled with reinforcement learning enables the goal-oriented design of peptides using its chemistry-informed generative capabilities. This study demonstrates PepINVENT’s ability to explore the peptide space with unique and novel designs, and its capacity for property optimization in the context of therapeutically relevant peptides. Our tool can be employed for multi-parameter learning objectives, peptidomimetics, lead optimization, and variety of other tasks within the peptide domain. © 2024, CC BY.

关键词： Amino acids

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design and Implementation of Network Simulator for High Level Naval Ship System

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IEEE Access 2025年 13卷 90612-90625页

作者： Jang, Min-Hui Kim, Hyeong-Jin Go, Young-Keun Choi, Nak-Jung Lee, Jae-Ho Yu, Jae-Hak Lee, Jae-Min Jun, Tae-Soo Kim, dong-Seong Kumoh National Institute of Technology Dept. of IT Convergence Eng Gumi Korea Republic of NSLab Inc Technology Research Institute Gumi Korea Republic of Agency For Defense Development Maritime Technology Research Institute Jinhae Korea Republic of Naval R&D Center Hanwha Systems Boulder Gumi Korea Republic of Kumoh National Institute of Technology Dept. of Computer SW Eng Gumi Korea Republic of

Operational naval ship systems rely on advanced sensors and equipment to detect targets and manage weapon control and engagement. However, their growing complexity, driven by technological advancements and the increasing integration of clients and servers, necessitates changes in system architecture and network structure. To address these challenges, this paper presents the design and implementation of NSNS (Network Performance Evaluation Simulator for Naval Ship Combat System), a specialized simulator for advancing research on naval ship system networks. The NSNS provides a robust environment for performance analysis by leveraging the unique characteristics of naval ship combat system nodes and network properties. Its reliability was validated through comparisons with real-world system measurements, demonstrating consistent trends and acceptable error rates. This research underscores the importance of dedicated simulation tools for validating new naval network architectures and enhancing network reliability and availability in wartime scenarios. © 2013 IEEE.

关键词： Ship simulators

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Accelerating deep Neural Networks with a Low-Cost Lossless Compression

Accelerating Deep Neural Networks with a Low-Cost Lossless C...

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Seongwook Kim Gwangeun Byeon Seungeui Lee Youngseok Bae Seokin Hong Department of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea Advanced R&D Center Hanwha Systems Co. Ltd. Emerging Science and Technology Directorate Agency for Defense Development

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

Since deep learning inference involves a significant amount of computations, there have been a lot of efforts to accelerate the inference process by eliminating ineffectual compu-tations. As a solution to this problem, several sparsity-aware deep learning accelerators have been proposed. These accelerators perform the inference on compressed data (filters and feature maps) and dynamically remove the ineffectual multiplications with zero operands. For efficiently handling the compressed data on the accelerators, a simple and effective compression scheme, which encodes the whole data with its nonzero values and their positions, is necessary. However, prior approaches have several shortcomings, such as low compression efficiency and high complexity in compression and decompression hardware. This paper proposes a low-cost compression scheme that can be applied to sparsity-aware deep-learning accelerators. The compression scheme synergistically combines two low-cost compression schemes: Zero-Value Compression (ZVC) and Base-delta-Immediate Compression (BdI). Our experimental evaluation shows that the proposed compression scheme achieves an average compression ratio of 2.26, resulting in 2.33x performance improvement,

关键词： deep learning Filters Artificial neural networks Performance gain Complexity theory Hardware acceleration

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Vehicle-in-the-Loop Experimental Verification of real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent Electric Vehicles

Vehicle-in-the-Loop Experimental Verification of Real-Time E...

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International Conference on Intelligent Transportation

作者： dohee Kim Youngwon Seo Hongsoon Jang Hyemin Kang Gu-Min Jeong Jeong Soo Eo Electrified Systems Control Research Laboratory R&D Division Hyundai Motor Company Republic of Korea Department of Electrical Engineering Kookmin University Republic of Korea R&D Division Commercial Electronic Control Development Team Hyundai Motor Company Republic of Korea

In this paper, a real-time energy-optimal strategy exploiting preview information resulting from connectivity and autonomous vehicle (CAV) technology is verified by experimental analyses linked with on-board computing methods on a real vehicle-in-the-loop testbed with virtual road and traffic light system. An energy-optimal deceleration planning/following system (EdPS) as a service-oriented technology for electrified vehicles utilizing preview information is applied to a micro-controller, where the data access route and location on the given system architecture are optimized to shorten computing time. Also, two types of multicore strategies are comparatively analyzed to efficiently operate computing resources of the embedded controller as well as to distribute computing loads, and the strategy comparisons indicate that a function-level task partition considering target cores in advance can practically reduce computing loads. In the vehicle-in-the-loop simulations (VILS) with a realistic driving on the virtual road and CAV technology-based information, the embedded EdPS planning results illustrate that the energy-optimal speed profiles are properly computed on a commercial automotive microcontroller while stably processing real-time data input/output and optimal planning within the given time constraints.

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