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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications XI"

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Electron Beam Probing: The New Sheriff in Town for Security Analyzing of Sub-7nm ICs - Exploring the Advantages of a Post-Photon Emission Technique 49

Electron Beam Probing: The New Sheriff in Town for Security ...

引用

49th International Symposium for Testing and Failure Analysis conference, ISTFA 2023

作者： Varshney, Nitin xi, Chengjie Khan, Aslam A. Biswas, Liton Kumar Sorger, Volker Dalir, Hamed Asadizanjani, Navid Department of Electrical & Computer Engineering University of Florida GainesvilleFL32611 United States

ISBN: (纸本)9781627084741

The increasing demand for semiconductor chips and the outsourcing of chip fabrication have heightened vulnerability to hardware security threats. While optical probing has been used extensively for semi-invasive/non-invasive attacks, its resolution limits and obsolescence in advanced technologies have necessitated exploring other techniques. Electron-beam probing (EBP) has emerged as a powerful method, offering 20x better spatial resolution than optical probing, and applies to sub-7nm flip-chips and advanced 3D architecture systems. However, the increased resolution of EBP also poses a threat to sensitive information on these advanced chips, calling for developing countermeasures to secure assets. By understanding the capability of EBP, the potential of using EBP to extract sensitive data such as encryption keys, soft IP, neural network parameters, and proprietary algorithms will be discussed. This paper delves into the principles behind EBP, its capabilities, challenges for this technique, and potential applications in failure analysis and potential attacks. It highlights the need for developing effective countermeasures to protect sensitive information on advanced node technologies. Copyright © 2023 ASM International® All rights reserved.

关键词： Obsolescence

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Micro Lens: Components to systems 11

Micro Lens: Components to Systems

引用

conference on Semiconductor Lasers and applications xi

作者： Liu, Hua Li, Mingsuo Sci & Technol Electroopt Control Lab Luoyang Peoples R China Luoyang Inst Electroopt Equipment AVIC Luoyang Peoples R China Beijing Inst Technol Beijing Peoples R China

ISBN: (数字)9781510646322

ISBN: (纸本)9781510646322;9781510646315

Shrinking optical components and systems without compromising performance has been a challenge. New sensors and components are developing the methodology in research advanced multiple configuration systems. The effect of system evaluated criteria that Modulation Transfer Function (Modulation Transfer Function, the MTF), Energy concentration (Radial Energy Analysis, REA), diffusion (Spot Diagram, RMS) can support our issue qualitatively. Results showed that can not only change systems weight, size and structural stability, but also increase freedom in these kinds design.

关键词： System Engineering sensor System Optimization

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Directional bending sensing characteristics of in-line Mach-Zehnder interferometer based on asymmetrical twin-core fiber 12

Directional bending sensing characteristics of in-line Mach-...

引用

conference on advanced sensor systems and applications xiI

作者： Yang, Huiping Yan, Binbin Luo, Yanhua Yang, Liwei Wang, Kuiru Yuan, Jinhui Sang, xinzhu Peng, Gang-ding Beijing Univ Posts & Telecommun State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China Shanghai Univ Shanghai Inst Adv Commun & Data Sci Key Lab Specialty Fiber Opt & Opt Access Networks Joint Int Res Lab Specialty Fiber Opt & Adv Commu Shanghai 200444 Peoples R China Univ New South Wales Sch Elect Engn Photon & Opt Commun Sydney NSW 2052 Australia China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China

ISBN: (纸本)9781510657090;9781510657083

We propose and experimentally demonstrate a simple directional bending sensor based on an in-line Mach-Zehnder interference structure of the single mode fiber (SMF)-multimode fiber (MMF)-asymmetrical twin-core fiber (ATCF)-MMF-SMF. Due to the asymmetric structure in twin-core fiber, this sensor can discriminate different bending directions. The interference spectrum shifts with the change of curvature. Furthermore, the sensor exhibits a linear response with a maximum bending sensitivity of 33.48 and -38.72 nm/m(-1) in the curvature range from 0 to 3.01 m(-1) for bending directions at -x (180 degrees) and +x (0 degrees) directions, respectively. The proposed fiber sensor has great potential in the future Internet of Things (IoT) due to its advantages, such as low cost, compactness, and high bending sensitivity.

关键词： Asymmetric twin-core fiber Optical fiber sensor Mach-Zehnder interferometer Directional bending sensing

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ANALYSIS OF MODULATION MODE OF 5G TECHONOLOGY applications 2

ANALYSIS OF MODULATION MODE OF 5G TECHONOLOGY APPLICATIONS

引用

2nd International conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024

作者： Yang, Jiahao Xidian University Xi'an China

ISBN: (纸本)9781837242672

In the progression of communication engineering, mobile communication technology has consistently been pivotal. As the leading edge of contemporary mobile communication landscape, 5G technology signifies a major leap forward and offers insights into the future of connectivity. This study offers a comprehensive overview of the fundamental principles underlying 5G technology, emphasizing essential modulation techniques, e.g., OFDM and QAM. This research offers a concise historical overview of 5G and its modulation strategies, highlighting the essential roles of OFDM and QAM while also recognizing their limitations. To address these challenges, this study will present two alternative modulation techniques: pulse-shaping-based filter-bank multicarrier and universal filtered multicarrier, which utilizes self-contained filtering. Although this article does not cover additional methods such as precoding, guard interval shortening, or symbol mapping in the delay-Doppler domain, it aims to offer a concise introduction to the fundamental aspects of 5G technology, allowing readers to quickly understand the concepts. The aim of the study is to clarify the effectiveness of wireless communication and explore advanced technologies that meet the demands for high speed, multi-user capabilities, and low latency. These results will speed up the progress of smart cities, artificial intelligence, and the Internet of Things. © The Institution of Engineering & Technology 2024.

关键词： 5G mobile communication systems

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UKF-Based Multi-sensor Data Processing Algorithm for SLAM 9

UKF-Based Multi-sensor Data Processing Algorithm for SLAM

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9th International conference on Control Science and systems Engineering, ICCSSE 2023

作者： Xu, Kun Zhang, Boheng Li, Jiangang Wang, Guizhong Sun, Mingjian School of Information Science and Engineering Harbin Institute of Technology Weihai China Harbin Institute of Technology Department of Control Science and Engineering Harbin China Co. Ltd. Shenzhen China Hebei Key Laboratory of Grid Advanced Measurement Monitor Jinyanhagong Industrial Technology Research Institute Zhangjiakou China

ISBN: (纸本)9798350339055

Simultaneous localization and mapping (SLAM) algorithm is widely used in unmanned and robotic applications. SLAM usually uses sensor data, which are from the LiDAR, the inertial measurement unit (IMU) and the wheeled odometry, to build maps of the surrounding environment. However, the motion distortion of LiDAR data and the error accumulation of wheeled odometry can affect the accuracy of the front-end odometry of the SLAM algorithm, which can lead to serious errors in the maps created. Therefore, in order to solve the problem of poor map construction results of SLAM algorithm due to various types of sensor errors. we propose the traceless Kalman filtering based (UKF-based) multi-sensor data processing algorithm. Firstly, the proposed algorithm uses the UKF to fuse IMU and wheeled odometry data to reduce the cumulative error of wheeled odometry. And then the algorithm uses IMU and corrected wheeled odometry data and combines with the motion states of the robot to solve the motion distortion problem of LiDAR data. Finally, we verified the effectiveness of the proposed algorithm for wheeled odometry data correction in Gazebo simulation environment and real environment experiments, and compared the mapping effectiveness of SLAM by using the original data and the data processed by our algorithm. The experimental results show that the map construction effect of SLAM algorithm is significantly improved when using the sensor data processed by the algorithm. Experimental validation on the robot shows that the proposed algorithm has universal applicability and good compatibility. © 2023 IEEE.

关键词： sensor data fusion

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A Gamma Process Based Degradation Model with Fractional Gaussian Noise 16

A Gamma Process Based Degradation Model with Fractional Gaus...

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16th Annual conference of the Prognostics and Health Management Society, PHM 2024

作者： Wang, xiangyu xi, xiaopeng Orchard, Marcos E. College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao266590 China Advanced Center for Electrical and Electronic Engineering Universidad Técnica Federico Santa María Valparaíso Chile Department of Electrical Engineering Faculty of Mathematical and Physical Sciences Universidad de Chile Santiago Chile

ISBN: (纸本)9781936263059

In modern industrial and engineering systems, stochastic degradation models are widely used for reliability analysis and maintenance decision-making. However, due to imperfect sensors and environmental influences, it is difficult to directly observe the latent degradation states. Traditional degradation models typically assume that measurement errors have simple statistical properties, but this assumption often does not hold in practical applications. To address this issue, this paper constructs a degradation model based on the Gamma process (GP) and assumes that measurement noise can be characterized by the fractional Gaussian noise (FGN). Furthermore, this paper proposes a method combining Gibbs sampling with the stochastic expectation-maximization (SEM) algorithm to achieve efficient estimation of the model parameters and accurate inference of the latent degradation states. Simulation results demonstrate that the proposed model, validated solely through numerical simulations, exhibits improved generalizability compared to the GP model with Gaussian noise. © 2024 Prognostics and Health Management Society. All rights reserved.

关键词： Reliability analysis

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Enhanced cooling of advanced electrical machines 1

Enhanced cooling of advanced electrical machines

引用

1st Aerospace Frontiers conference, AFC 2024

作者： Hong, Zhang Wei, Fang Liang, Chang Shanghai Aircraft Design & Research Institute China Commercial Aircraft Corporation Shanghai201210 China School of Astronautics Harbin Institute of Technology Harbin150001 China National Key Laboratory of Strength and Structural Integrity Xian710065 China

ISBN: (纸本)9781510681613

In high-performance applications, a constant increase of power densities in electrical machines leads to a proportional rise in temperature, which significantly affects its performance and life expectancy. To reduce the temperature rise impact on processing performance, usually, a cooling system will be equipped on the high-power density electrical machine, which can take away the heat in time keeping the machines in the best temperature range. The idea of this paper: primarily is to analyze the heating and heat transfer of stators of electrical machines, consecutively employ parameters in different operating conditions;by using computational fluid dynamics (CFD) simulation to find the thermal parameters of the cooling system. Based on the simulation, the influence of the cooling channel position on the cooling effect is evaluated, which provides a reference for the design of the stator. Also, the impact of the coolant flow on the cooling effect was analyzed. The simulation results are compared with the theoretical calculation results. Some enhancements of heat exchange within cooling tube are adopted. The cooling effect un-der different designs is analyzed and evaluated based on several established performance criteria. © 2024 SPIE.

关键词： Cooling systems

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Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets 26

Deterministic Multi-sensor Measurement-adaptive Birth using ...

引用

26th International conference on Information Fusion, FUSION 2023

作者： Bondarchuk, Jennifer Trezza, Anthony Bucci, Donald J. Advanced Technology Laboratories Lockheed Martin Cherry HillNJ United States

ISBN: (纸本)9798890344854

Measurement-adaptive track initiation remains a critical design requirement of many practical multi-target tracking systems. For labeled random finite sets multi-object filters, prior work has been established to construct a labeled multi-object birth density using measurements from multiple sensors. A truncation procedure has also been provided that leverages a stochastic Gibbs sampler to truncate the birth density for scalability. In this work, we introduce a deterministic herded Gibbs sampling truncation solution for efficient multi-sensor adaptive track initialization. Removing the stochastic behavior of the track initialization procedure without impacting average tracking performance enables a more robust tracking solution more suitable for safety-critical applications. Simulation results for linear sensing scenarios are provided to verify performance. © 2023 International Society of Information Fusion.

关键词： Target tracking

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Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium 23

Multi-agent deep reinforcement learning for traffic signal c...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wei, Wei Wu, Qiang Wu, Jianqing Du, Bo Shen, Jun Li, Tinghong School of Computer Science and Engineering Xi'an University of Technology Xi'an China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu China University of Wollongong Smart Infrastructure Facility Wollongong Australia China Mobile Communications Corporation Lanzhou China

ISBN: (纸本)9781665494571

Traffic signal control is an essential and chal-lenging real-world problem, which aims to alleviate traffic congestion by coordinating vehicles' movements at road in-tersections. Deep reinforcement learning (DRL) combines deep neural networks (DNNs) with a framework of reinforcement learning, which is a promising method for adaptive traffic signal control in complex urban traffic networks. Now, multi-agent deep reinforcement learning (MARL) has the potential to deal with traffic signal control at a large scale. However, current traffic signal control systems still rely heavily on simplified rule- based methods in practice. In this paper, we propose: (1) a MARL algorithm based on Nash Equilibrium and DRL, namely Nash Asynchronous Advantage Actor-Critic (Nash-A3C);(2) an urban simulation environment (SENV) to be essentially close to the real-world scenarios. We apply our method in SENV, obtaining better performance than benchmark traffic signal control methods by 22.1%, which proves that Nash-A3C to be more suitable for large industrial level deployment. © 2021 IEEE.

关键词： Performance evaluation Deep learning Computational modeling Roads Neural networks Reinforcement learning Nash equilibrium

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A Simplified Open-loop Control Strategy for Integrated Shading and Lighting systems Using Machine Learning 17

A Simplified Open-loop Control Strategy for Integrated Shadi...

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17th conference of International-Building-Performance-Simulation-Association (IBPSA)

作者： xie, Jiarong Sawyer, Azadeh Omidfar Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781775052029

Conventional integrated shading and lighting systems are usually sensor-dependent, which could entail excessive cost and labor associated with sensor installation, calibration, and maintenance. advanced systems use daylight modeling to eliminate the use of physical sensors. However, real-time daylight simulation can be computation-heavy, leading to a slow response of the system. This paper proposed a data-driven method for integrated shading and lighting control, employing machine learning models developed from pre-simulated data to predict real-time daylighting and control the blind and lighting accordingly. Verification using climate-based daylight simulation with a case study showed that the method prevented 94.7% of annual glare and reduced lighting use by 64%. The study will contribute to the development of effective daylight-linked control systems for industrial applications.

关键词： Machine learning

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