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检索条件"任意字段=Conference on Performance and Control of Network Systems II"

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Hydraulic Quadruped Robot JINPOONG ii: Toward Qualified Platform for Mobile Manipulation in Field Environment 1

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18th International conference on Intelligent Autonomous systems (IAS)

作者： Seo, Jaehong Park, Sangshin Kim, Jin Tak Kim, Jinhyeon Cho, Jungsan Korea Inst Ind Technol AI Robot R&D Dept Ansan South Korea

ISBN: (数字)9783031448515

ISBN: (纸本)9783031448508;9783031448515

We introduce a hydraulic quadruped robot, JINPOONG ii, designed to qualify as a base platform for mobile manipulation. The mobile manipulation process in the field environment can be classified into three stages: "Approach," "Stretch-out," and "Manipulation." To qualify as suitable the mobile platform must have "mobility," "dexterity" to perform each stage, and "stability" to ensure stable operation of every process of stages. The quadruped robot is the most suitable candidate for mobile manipulator application because it can satisfy these requirements. We adopted a SLIP-based leg mechanism and a suitable control strategy to configure a quadruped robot that meets the qualifications. We then tested JINPOONG ii's performance of body motion and interaction with external forces to verify whether the subject robot has the required qualifications in line with the design intent. The results established that JINPOONG ii could perform 6 DoF motions of the body and various other compliance motions and walking on rough terrain. This indicates that JINPOONG ii is equipped with qualifications as a base platform for mobile manipulators.

关键词： Robotics Autonomous vehicles

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Research on the Impact of Different controllers on the Adapative Cruise control System

Research on the Impact of Different Controllers on the Adapa...

引用

2023 International Russian Automation conference, RusAutoCon 2023

作者： Suleiman, Leila Vlasov, Sergei Itmo University Control Systems and Robotics Faculty Saint-Petersburg Russia

ISBN: (纸本)9798350345551

Adaptive Cruise control (ACC) system is a well-known Advanced Driver Assistant systems (ADAS) that offers safe, comfortable, and fuel-efficient self-driving capabilities. It utilizes a combination of hardware and software to follow other vehicles, effectively. While the design and control of this system are complex, its user interface ensures ease of use and understanding. This paper aims to demonstrate the application of different control algorithms with the ACC system. Firstly, it introduces the Model Predictive controller (MPC), Levenberg-Marquardt Neural network (LM NN), Bayesian Regularization Neural network (BR NN), and Scaled Conjugate Gradient Neural network (SCG NN). Subsequently, the paper presents a practical implementation of these three neural networks in conjunction with the Classical ACC controller. The performance of MPC with these three emulated neural networks is then evaluated. Finally, the paper concludes by establishing an evaluation and summary of the performance of these controllers. © 2023 IEEE.

关键词： Model predictive control

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Enhancing Engineering Cost Risk Management Through Artificial Intelligence-Based Warning and control systems 6

Enhancing Engineering Cost Risk Management Through Artificia...

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6th IEEE International conference on Power, Intelligent Computing and systems, ICPICS 2024

作者： Xu, Weiyi Fushun Vocational and Technical College Department of Civil Engineering Fushun China

ISBN: (纸本)9798350374315

With the growing importance of engineering cost risk management in the construction sector, the integration of artificial intelligence (AI) technology has emerged as a crucial tool for enhancing the effectiveness of risk alerts and control measures. This research endeavors to delve into the utility of AI in managing engineering cost risks and to suggest appropriate warning and control approaches. By conducting a thorough literature review and case studies, the study identified and compared three AI models: the Long Short-term Memory (LSTM) network, Support Vector Machine (SVM), and Random Forest (RF), evaluating their performance against key metrics such as Cost Variance Ratio (CVR), Schedule performance Index (SPI), and Risk Response Efficiency (RRE). The research methodology encompassed data collection and preprocessing, model training and validation, and comprehensive performance assessment. The findings revealed that the LSTM model achieved a minimum CVR of 1.1%, a maximum SPI of 1.03, and a remarkable risk response efficiency as fast as 12.5 minutes. The study concludes that LSTM significantly enhances the precision of engineering cost risk warnings, offering a novel insight and robust technical foundation for project management in the construction industry. © 2024 IEEE.

关键词： Risk management

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Optimizing Comfort and Energy Efficiency: The Impact of Model Accuracy on Multi-Objective MPC 6

Optimizing Comfort and Energy Efficiency: The Impact of Mode...

引用

6th Global Power, Energy and Communication conference (GPECOM)

作者： Micheneau, Kevin Boodi, Abhinandana CESI LINEACT UR 7527 CESI Brest Campus Brest France

ISBN: (纸本)9798350351088;9798350351095

Buildings are responsible for similar to 30% of primary energy consumption, mainly because of Heating, Ventilation, and Air Conditioning (HVAC) systems. The usual ON/OFF controller tends to react to occupancy presence, causing discomfort and energy waste. Furthermore, these controllers usually focus on thermal comfort and disregard other comforts, such as air quality, visual, etc. due to their inability to handle complex multi-objective problems. In this context, Model Predictive controller (MPC) presents a promising alternative for dynamic control of HVAC systems. However, the accuracy of the building's thermal and air quality models greatly influences the MPC performance. This paper proposes simple models to develop a multi-objective MPC to minimize energy consumption while maintaining occupancy thermal and air quality comfort. Each models are developed using the limited data available. Since these models largely depend on occupancy information, a further study is conducted to analyze the impact of occupancy estimation accuracy on MPC performance. It is found that occupancy estimation models reach 98% of the optimum performance with a 90% accuracy.

关键词： Building energy CO2 model MPC occupancy impact thermal network model

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A Flexible In-band network Telemetry Framework for Heterogeneous Private networks 20

A Flexible In-band Network Telemetry Framework for Heterogen...

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20th International conference on Factory Communication systems (WFCS)

作者： Miranda, Gilson, Jr. Haxhibeqiri, Jetmir Hoebeke, Jeroen Moerman, Ingrid Macedo, Daniel F. Marquez-Barja, Johann M. Univ Antwerp IDLab IMEC Antwerp Belgium Univ Ghent IDLab IMEC Ghent Belgium Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9798350319347;9798350319354

As network management operations increasingly rely on automation and finer control actions, there is a need for precise telemetry systems. In-band network Telemetry (INT) methods use data packets to carry telemetry and give real-time insights about network performance. Existing solutions often require specialized hardware or offer limited runtime configuration options. This work presents an INT Framework for heterogeneous private networks, targeting industrial and multimedia applications. The framework is designed to be flexible and runtime-reconfigurable, addressing challenges in real-world applications. We provide implementation details of our elements supporting the configurability and the consolidation of raw telemetry into high-level Quality of Service (QoS) metrics. We evaluated the framework in a testbed with wired and wireless devices. The results show the accuracy in monitoring QoS, as well as an analysis of synchronization requirements, showcasing the feasibility of our framework for solutions requiring precise and flexible QoS monitoring.

关键词： In-band network Telemetry QoS

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Automatic Detection of Solder Joint Defects in BGA Reflow Soldering Repair Process based on U-Net network 1

Automatic Detection of Solder Joint Defects in BGA Reflow So...

引用

1st International conference on Intelligent systems and Computational networks, ICISCN 2025

作者： Geng, Mengkang Huang, Xuzhen Tao, Zhengrong Nanjing University of Aeronautics and Astronautics College of Automation Engineering Jiangsu Nanjing China

ISBN: (纸本)9798331529246

Given the complexity of solder joint detection in BGA packaging technology, traditional manual detection methods are no longer sufficient to meet precise production requirements. This article elaborates on the types of solder joint defects to cover the performance of solder joints under different conditions. The study utilizes data augmentation techniques to enhance the model's generalization ability, and ensures the accuracy and stability of the model through performance evaluation and optimization steps. Through model training and optimization, high-precision automatic detection of solder joint defects has been achieved. The experimental results show that the defect accuracy data base value of the model has been improved to 0.85;the automatic detection recall rate has achieved a breakthrough of over 90%;and the F1 score remains stable above 0.85 after optimization. These experimental data demonstrate a significant improvement in the automatic detection performance through the optimization of the U-Net network, providing support for the improvement of quality control in BGA packaging processes. © 2025 IEEE.

关键词： Soldering

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IBM Telum ii: Next Generation 5.5GHz Microprocessor with On-Die Data Processing Unit and Improved AI Accelerator 72

IBM Telum II: Next Generation 5.5GHz Microprocessor with On-...

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72nd IEEE International Solid-State Circuits conference, ISSCC 2025

作者： Strevig, Gerald Berry, Chris Rao, Rahul Jungmann, Noam Sperling, Michael Becht, Michael Herkel, Eduard Pflanz, Matthias Meaney, Pat Romain, Michael Cichanowski, Mark Venton, Amanda Wolpert, David Kachir, Elazar Hopkins, Luke Bubb, Tim Arp, Andreas Kiss, Daniel Buchsenstein, Simon Wood, Michael Spear, Michael Sonnelitter, Robert Joshi, Rajiv IBM Systems AustinTX United States IBM Systems PoughkeepsieNY United States IBM Systems Bangalore India IBM Systems Tel Aviv Israel IBM Systems Böblingen Germany IBM Research Yorktown HeightsNY United States

ISBN: (纸本)9798331541019

The IBM Z microprocessor, Telum ii, has been redesigned for the zNext system to improve performance and system capacity over the previous z16 system [1]. The system topology consists of four Dual-Chip Modules (DCM), each composed of two central-processor (CP) chips per drawer. The system can be configured with up to four drawers and a total of 32 CP chips in a fully coherent shared memory system. The CP (Fig. 2.2.7) is a 600mm2 die containing 43B transistors and is designed in Samsung 5nm bulk technology [2]. It contains over 24 miles of wire and 165B vias spread across 18 layers of metal: 8 narrow-width layers for local interconnect, 8 medium width-high performance layers, and two ultra-thick layers for off-chip signal routing and power/clock distribution. The combination of die size increase and library improvements allowed us to keep 8 cores per CP, while adding a new Data Processing Unit (DPU) onto the chip. Each CP operates at 5.5GHz. Each core has a 128KB L1 instruction cache, and a 128KB data cache. Each CP also has 2 PCIe Gen5 ×16 interfaces, an M-BUS interface to the other CP on the DCM, and an X-BUS interface to every CP in the other 3 DCMs per drawer. There is 1 A-BUS interface to connect 6 out of the 8 CPs in each drawer to the other drawers in the system. The clock network is designed with a 1:1 resonant mesh covering most of the chip and three small asynchronous non-resonant meshes for the memory and PCIe interfaces. In addition, Telum ii adds an on-chip voltage control loop for improved dynamic voltage management, which maintains performance without requiring higher voltages across all workloads [3]. Key system capacity and performance improvements came from enhancements to the core and the increased cache size. Telum ii increases the number of L2 cache instances from 8 to 10 and uses Samsung's high-density SRAM cell to grow the L2 cache by 40% from 32MB on Telum to 36MB per L2 cache instance. Each processor core and the DPU have a private 36MB L2 cac

关键词： Cache memory

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Integrating Post-Quantum TLS into the control Plane of 5G networks

Integrating Post-Quantum TLS into the Control Plane of 5G Ne...

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2024 International performance Computing and Communications conference

作者： Hanna, Yacoub Pineda, Diana Veksler, Maryna Paudel, Manish Akkaya, Kemal Anastasova, Mila Azarderakhsh, Reza Florida Int Univ Adv Wireless & Secur Lab Miami FL 33174 USA Florida Atlantic Univ Dept Comp & Elect Engn & Comp Sci Boca Raton FL 33431 USA

ISBN: (纸本)9798350367959;9798350367942

Significant performance improvements in bandwidth and latency make 5G a suitable candidate for a wide range of applications, particularly those requiring real-time communication, such as Industrial control systems (ICS) and autonomous vehicles. However, today's security, including modern cryptographic systems, is prone to different attacks caused by the high computational power of quantum computing, highlighting the need for integrating quantum-resistant security measures. To accommodate attacks targeted at 5G networks, there are efforts to move towards TLS-based security, which is the widely accepted standard across networks. However, integrating post-quantum algorithms must also be considered in such a transition. Thus, this paper is the first to perform the integration of Post-quantum TLS (PQ-TLS) protocols into 5G networks and offer a realistic performance evaluation. Our approach focuses on integrating PQ-TLS into the 5G control plane (CP) without requiring a major overhaul, thus ensuring communications' interoperability even with legacy components of 5G, which may not support TLS. Specifically, we have updated the registration and authentication protocols for both core network functions and user equipment (UE) by implementing a TLS tunneling approach through virtualization. We then evaluate the performance and feasibility of PQ-TLS in enhancing the security of 5G communications on an actual testbed. Our results demonstrate that while PQ algorithms introduce some overhead, they remain viable for 5G applications, particularly for protocols that can run on the core network.

关键词： 5G AKA TLS Tunneling Post Quantum Cryptography Edge computing Interoperability performance

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performance and Energy Aware Training of a Deep Neural network in a Multi-GPU Environment with Power Capping

Performance and Energy Aware Training of a Deep Neural Netwo...

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29th International conference on Parallel and Distributed Computing (Euro-Par)

作者： Koszczal, Grzegorz Dobrosolski, Jan Matuszek, Mariusz Czarnul, Pawel Gdansk Univ Technol Fac Elect Telecommun & Informat Narutowicza 11-12 PL-80233 Gdansk Poland

ISBN: (纸本)9783031488023;9783031488030

In this paper we demonstrate that it is possible to obtain considerable improvement of performance and energy aware metrics for training of deep neural networks using a modern parallel multi-GPU system, by enforcing selected, non-default power caps on the GPUs. We measure the power and energy consumption of the whole node using a professional, certified hardware power meter. For a high performance workstation with 8 GPUs, we were able to find non-default GPU power cap settings within the range of 160-200W to improve the difference between percentage energy gain and performance loss by over 15.0%, EDP (Abbreviations and terms used are described in main text.) by over 17.3%, EDS with k = 1.5 by over 2.2%, EDS with k = 2.0 by over 7.5% and pure energy by over 25%, compared to the default power cap setting of 260W per GPU. These findings demonstrate the potential of today's CPU+GPU systems for configuration improvement in the context of performance-energy consumption metrics.

关键词： deep neural network training power capping multi GPU performance-energy optimization

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Coordinated control Strategy for Doubly-Fed Induction Generator Based on RBF - PID Adaptive control 6

Coordinated Control Strategy for Doubly-Fed Induction Genera...

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6th International conference on Energy systems and Electrical Power, ICESEP 2024

作者： Hu, Guoli Qi, Pan Liu, Yongyan Wang, Xiyue Ke, Deping State Grid Hunan Electric Power Company Limited Research Institute Changsha China School of Electrical Engineering and Automation Wuhan University Wuhan China

ISBN: (纸本)9798350353563

This paper proposes a coordinated control strategy for doubly-fed induction generator (DFIG) considering dynamic reactive power support, which consists of two components: an RBF -PID adaptive controller and a coordination algorithm. Firstly, aiming at voltage and reactive power support during wind turbine fault ride-through, a combination of reinforcement learning and traditional PID controllers is proposed. Under the Actor-Critic framework, the RBF neural network is used to share the input and hidden layers of the network, forming an adaptive RBF -PID controller that obtains the reactive power control reference values during fault ride-through. Then, considering the requirements of safety, controller reference values, and fault ride-through performance indicators, a coordinated control strategy for grid-side converter (GSC) and rotor-side converter (RSC) is proposed to achieve a reasonable allocation of reactive power demands between the two converters. Finally, simulations are conducted to verify that the proposed coordinated control strategy exhibits good fault ride-through performance and reactive power support effects during DFIG faults. © 2024 IEEE.

关键词： Asynchronous generators

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