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24th International Conference on Control, Automation and Systems, ICCAS 2024

作者： Shin, Hojong Jang, Sung-Joon Kwak, Jonghoon Park, Jonghee Image Processing Research Center Intelligent Information R&d Division Gyeonggi-do 13488 Korea Republic of

ISBN: (纸本)9788993215380

Network pruning is a favorable network compression technique since it reduces the actual number of network parameters. There are two main categories of network pruning: unstructured pruning and structured pruning. Unstructured pruning can obtain remarkable sparsity without noticeable degradation on model accuracy, while structured pruning can result in a clear acceleration in terms of model latency by shrinking the network structure. There is also an approach to find the optimal trade-off between latency and accuracy, named joint channel pruning and weigh pruning (JCW). In this paper, we propose FFNN-based performance predictors for enhance efficiency of JCW in a regression manner. With pretrained predictors for accuracy and latency, we can reduce the time spent on architecture search stage which entails several iterations of supernet training: from about 3 days to a minute. © 2024 ICrOS.

关键词： deep learning

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Optimizing Wireless Coverage: The Impact of Signal Enhancers on Current and Future Wireless Communication Systems 10

Optimizing Wireless Coverage: The Impact of Signal Enhancers...

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10th IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2024

作者： Bujang, Suhandi Alias, Mohamad Yusoff Marzuki, Azah Syafiah Mohd Salleh, Abdullah Bin Muhammad, Surajo Nor, Mohd Hafiz Mohamad TM R&D Sdn Bhd Centre for Intelligent Network Cyberjaya Malaysia Multimedia University Faculty of Engineering Cyberjaya Malaysia Telekom Malaysia Mobile Technology Division Kuala Lumpur Malaysia

ISBN: (纸本)9798350364163

The rapid growth of wireless communication requires solutions to address coverage gaps and improve network performance. Signal enhancement technologies like repeaters, distributed Antenna Systems (dAS) and reconfigurable intelligent Surfaces (rIS) are crucial for boosting coverage in current and future wireless communication networks. This paper briefly discusses recent advancements in these technologies and presents case studies demonstrating how LTE Tdd repeater improve both indoor and outdoor coverage. results show that indoor downlink and uplink throughput increased to over 35 Mbps and 10Mbps, while outdoor downlink and uplink performance reached 30 Mbps and 3 Mbps, respectively. These results prove the repeater's effectiveness in enhancing signal coverage and network performance. © 2024 IEEE.

关键词： Smart antennas

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Enhancing rural Connectivity with FWA solution: a Focus on Uplink Performance 10

Enhancing Rural Connectivity with FWA solution: a Focus on U...

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10th IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2024

作者： Marzuki, Azah Syafiah Mohd Alias, Mohamad Yusoff Bujang, Suhandi Hassan, Siti Maisurah Mohd Salleh, Abdullah Bin Nor, Mohd Hafiz Bin Mohamad TM R&D Sdn Bhd Center of Excellent for Intelligent Network Cyberjaya Malaysia Multimedia University Faculty of Engineering Cyberjaya Malaysia Telekom Malaysia MobileTechnology Division Kuala Lumpur Malaysia

ISBN: (纸本)9798350364163

This paper investigates the potential of fixed wireless access (FWA) as a viable solution for enhancing rural connectivity in Malaysia. In order to overcome the challenges posed by traditional fiber optic deployment in diverse geographical landscapes, FWA offers a promising alternative. By analyzing the uplink performance of FWA deployments in rural areas, this study demonstrates its effectiveness in addressing the connectivity limitations experienced by rural communities. The paper presents comparative measurements between indoor and outdoor FWA installations, highlighting the significant improvement in uplink throughput achieved with outdoor deployments. The upload performance saw a significant improvement across the field trial sites, with some users experiencing increases from as low as 0.01 Mbps to up to 16 Mbps. Furthermore, the paper explores the potential applications enabled by enhanced uplink connectivity, such as online education, remote local business and telemedicine. © 2024 IEEE.

关键词： Fiber optics

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Thermal History Simulation and Support-Based Optimization in L-PBF Manufacturing of Eye-Shaped Catenary Clamps

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Transactions of the Korean Institute of Electrical Engineers 2024年第2期73卷 407-411页

作者： Yun, Seok-Chul Park, Young Shin, Jaeho Intelligence Integrated SW Research Center Intelligent Information R&D Division Korea Electronics Technology Institute Korea Republic of Dept. 3D printing industry-university cooperation foundation Hanbat National University Korea Republic of Dept. of Electrical Engineering Hanbat National University Korea Republic of

This study performed thermal history simulation and strategy optimization for additive manufacturing of eye-shaped catenary clamps used in high-speed railway overhead lines. Instead of the conventional casting material CuAl10Fe2, SUS 316L material suitable for additive manufacturing and having good toughness was used. The thermal analysis simulation software for additive manufacturing was utilized to optimize the additive manufacturing strategy for the parts where heat diffusion was not sufficient. The optimized additive manufacturing strategy was verified by simulation while adding supports, and the accuracy of the simulation was confirmed by comparing the simulation results with the actual experimental results. The results of this study can provide useful guidelines for additive manufacturing of eye-shaped catenary clamps and can be applied to other parts with complex shapes. © 2024 Korean Institute of Electrical Engineers. All rights reserved.

关键词： Thermoanalysis

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A design and control method for Pole Changing Induction Machine for Traction Application

A design and control method for Pole Changing Induction Mach...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Akatsu, Kan Kato, Naoya Masayoshi, Tsurube Mori, Tomonari Watahiki, Masanori Yokohama National University Division of Intelligent Systems Engineering Department of Faculty of Engineering Kanagawa Japan Yokohama National University Department of Electrical Engineering Kanagawa Japan Nidec Product Technology R&d Center Nidec Corporation Kanagawa Japan

ISBN: (纸本)9798350376067

This paper presents a design method of a Pole Changing Induction Machine (PCIM) with double 3 phase inverter. The winding method and a design of the machine geometry to maximize the advantage of the pole changing IM are shown. Also, a driving method of PCIM which can reduce the torque shock under the pole changing is described. Some simulation and experimental results show the effectiveness of PCIM and torque shock reduction under the high torque conditions. © 2024 IEEE.

关键词： Machine windings

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Multimodal layer surveillance map based on anomaly detection using multi-agents for smart city security

Multimodal layer surveillance map based on anomaly detection...

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作者： Shin, Hochul Na, Ki-In Chang, Jiho Uhm, Taeyoung Department of Intelligent Robotics Electronics and Telecommunications of Research Institute Daejeon Korea Republic of Intelligent Robotics R&D Division Korea Institute of Robotics and Technology Convergence Pohang Korea Republic of

Smart cities are expected to provide residents with convenience via various agents such as CCTV, delivery robots, security robots, and unmanned shuttles. Environmental data collected by various agents can be used for various purposes, including advertising and security monitoring. This study suggests a surveillance map data framework for efficient and integrated multimodal data representation from multi-agents. The suggested surveillance map is a multi-layered global information grid, which is integrated from the multimodal data of each agent. To confirm this, we collected surveillance map data for 4 months, and the behavior patterns of humans and vehicles, distribution changes of elevation, and temperature were analyzed. Moreover, we represent an anomaly detection algorithm based on a surveillance map for security service. A two-stage anomaly detection algorithm for unusual situations was developed. With this, abnormal situations such as unusual crowds and pedestrians, vehicle movement, unusual objects, and temperature change were detected. Because the surveillance map enables efficient and integrated processing of large multimodal data from a multi-agent, the suggested data framework can be used for various applications in the smart city. 1225-6463/$ © 2022 ETrI.

关键词： Modal analysis

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Efficient Performance Prediction via regression for Joint Channel and Weight Pruning

Efficient Performance Prediction via Regression for Joint Ch...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Hojong Shin Sung-Joon Jang Jonghoon Kwak Jonghee Park Image Processing Research Center Intelligent Information R&D Division Korea Electronics Technology Institute (KETI) Korea

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

关键词： Training degradation Accuracy Automation Control systems

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Enhancing GAN-Based Motion data Augmentation Through dynamic Time Warping distance Filtering

Enhancing GAN-Based Motion Data Augmentation Through Dynamic...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Junwon Yoon Hyun-Joon Chung Jeon-Seong Kang Jung-Jun Kim Kwang-Woo Jeon SeungWoo Kim Myounghoon Shim Jae-Kwan ryu AI Robotics R&D Division Korea Institute of Robotics & Technology Convergence Seoul Republic of Korea Unmanned/Intelligent Robotic Systems R&D LIG Nexl Seongnam Republic of Korea

Motion capture data is crucial but creating a large dataset can be challenging due to complexities in acquisition. Generative Adversarial Network (GAN)-based motion data augmentation offers a potential solution to this issue. However, GANs often struggle with learning from limited data, resulting in poor quality output. In this study, we propose a dynamic Time Warping (dTW) filtering method that filters out generated data significantly deviating from real-world examples. Through this approach, we have achieved an improvement in the fidelity of the generated data, even with dataset size constraints, as evidenced by an increase in action recognition accuracy.

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Optimal Placement of Foot Pressure Sensors for Lower-Limb Exoskeletons Based on Multi-Objective Particle Swarm Optimization Algorithm

Optimal Placement of Foot Pressure Sensors for Lower-Limb Ex...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Ha-Yoon Song Hyun-Joon Chung Kwang-Woo Jeon Tae-Hwan Kim Junyoung Kim Jin-Yeol Yoo Jae-Kwan ryu AI Robotics R&D Division Korea Institute of Robotics & Technology Convergence Seoul Republic of Korea Unmanned/Intelligent Robotic Systems R&D LIG Nex1 Seongnam Republic of Korea

This study proposes an optimization method for sensor placement in lower-limb exoskeleton robots, aiming to improve the accuracy of the Center of Pressure (CoP) estimation during various human activities. Utilizing the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, the proposed method identifies an optimal sensor count, as the root Mean Square Error (rMSE) decelerates when the sensor count exceeds 6. Application of this method resulted in a reduction of the Mean Absolute Error (MAE) to 4.13 mm and 8.92 mm on the mediolateral and anteroposterior axes respectively, a 22.8% improvement in CoP estimation accuracy compared to traditional anatomical methods. Further analysis revealed that weight parameters influence the CoP estimation accuracy, suggesting an enhancement in sensor placement efficiency through the adjustment of individual objectives' significance. The proposed sensor placement optimization method is expected to significantly enhance the performance of lower-limb exoskeleton robots and increase user satisfaction. Moreover, it could substantially contribute to the enhancement of human-computer interaction in robot control by providing a more accurate reflection of the user's intentions. These findings highlight the importance of continuing research in the field of lower-limb exoskeleton robots.

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Overview of 5G-Nr-V2X System and Analysis Methodology of Communication Performance

Overview of 5G-NR-V2X System and Analysis Methodology of Com...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Byoungman An Jimin Lee Seonghyun Jang Kitaeg Lim Sanghun Yoon Intelligent Information R&D Division Mobility Platform Research Center Korea Electronics Technology Institute Seongnam South Korea

This article describes the 5G-Nr-V2X system and its communication performance methodology. We present a system that can develop and verify the performance of self-driving services and verify performance in a real road test environment using OBU and rSU for 5G-Nr-V2X communication (level 4 or higher), ultra-high speed (150Mbps or more), ultra-low delay (3ms or less), and high reliability (99.99 percent) satisfaction of communication robustness under malicious conditions. The 5G-Nr-V2X system and performance analysis method proposed in this paper are anticipated to aid in the development of V2X communication technologies that are ultrafast, ultralow-delay, and high-confidence. In addition, it is expected that the services validated by the suggested performance analysis technique will enhance technological competitiveness in the road, transportation, logistics, and commerce industries.

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