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

共 16711 条记录，以下是1251-1260 订阅

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Design Space Exploration of HPC systems with Random Forest-based Bayesian Optimization 24

Design Space Exploration of HPC Systems with Random Forest-b...

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Rapido Workshop on Rapid Simulation and Performance Evaluation - Methods and Tools (Rapido) / HiPEAC conference

作者： Fu, Vincent Zaourar, Lilia Munier-Kordon, Alix Duranton, Marc Univ Paris Saclay CEA List Palaiseau France Sorbonne Univ CNRS LIP6 Paris France

ISBN: (纸本)9798400717918

Nowadays, High-Performance Computing (HPC) systems need to deliver computational performance by processing complex applications and workloads at high speeds in parallel. To provide computing power, Multiprocessor System-on-Chip, the main design paradigm, is scaled with advanced technology nodes and even with heterogeneity. These improvements open up more design possibilities, leading to an increase in its complexity. Therefore, chip designers are facing unprecedented challenges to find the best Power, Performance, and Area architectural configurations, inducing a Design Space Exploration problem. This work proposes a complete framework to ease the next generation of HPC processor designs. By combining competitive simulators VPSim and McPAT for a realistic estimation of Key Performance Indicators, with a time-consuming simulation-adapted exploration algorithm such as Bayesian Optimization, we leveraged an Automated Design Space Exploration for efficient HPC processor designs based on ARMv8 architecture. We have also demonstrated the potential of Bayesian Optimization to reach a similar or even larger Pareto front than Genetic Algorithm while being around 2x to 5x sample-efficient. Furthermore, the diversity of the obtained Pareto-front enables deep analysis of relevant architectural parameters that significantly impact design performances and thus, empowering architects' knowledge for further targeted design exploration and design choices.

关键词： Automated Design Space Exploration High-Performance Computing Multiprocessor System-on-Chip Bayesian Optimization Random Forest

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Mitigating GPU Side-Channels via Integrated Monitoring and Response 2

Mitigating GPU Side-Channels via Integrated Monitoring and R...

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2nd IEEE International conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Lungu, Nelson Tembo, Simon Walubita, Ngula Patra, Sudhansu Shekhar University of Zambia Electrical and Electronical Engineering Lusaka Zambia Mukuni Secondary School Livingstone Zambia KIIT Deemed to be University School of Computer Applications Bhubaneswar India

ISBN: (纸本)9798350317558

Graphics processing units (GPUs) are increasingly employed in security-sensitive domains, making side-channel attacks on shader execution a pressing threat. We present an integrated shader execution framework incorporating real-time performance monitoring, machine learning anomaly detection, and architecture-aware response primitives to detect and mitigate GPU side-channel vulnerabilities with minimal overhead reliably. A shader execution monitors non-invasively profiles hardware counters to extract execution features, passed to an isolation forest classifier for attack detection within 50ms. Transparent mitigations like cache flushing, warp throttling, and shuffle masking are triggered to disrupt identified side channels by leveraging GPU architectural capabilities. Evaluations against simulated attacks demonstrate that the framework reduces key leakage by 4-5x and achieves over 80% attack disruption for a 400ms attack at under 5% performance cost. The integrated GPU-specific security solution significantly enhances real-world shader execution protection against side-channel risks. This paper present an integrated shader execution framework that leverages advanced monitoring, anomaly detection, and finely tuned response mechanisms. © 2024 IEEE.

关键词： anomaly detection GPU security shader execution side-channel attacks

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IR Resist Patterning by Maskless Exposure for High Performance applications

IR Resist Patterning by Maskless Exposure for High Performan...

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Novel Patterning Technologies 2025

作者： Varga, K. Berger, L. Zenger, T. Považay, B. Koch, J. Schicke, M. Takahashi, Y. Taguchi, Y. EV Group DI Erich Thallner Strasse 1 St. Florian am Inn 4782 Austria FUJIFILM Electronic Materials Europe Keetberglaan 1A Havennummer 1061 Zwijndrecht 2070 Belgium FUJIFILM Electronic Materials Japan 18-9-3 Shinyokohama Kohoku-ku Kanagawa Yokohama-City 222-0033 Japan

ISBN: (纸本)9781510686403

The Maskless Exposure (MLE) Technology, previously demonstrated for RGB resists, is now applied to novel IR resists for high-performance SWIR camera applications. MLE performance utilizing a new exposure methodology with focus on critical dimension uniformity and compensation for substrate distortions exposure is demonstrated, enabling precise and stich-less full-wafer structuring. Dynamically exposure-time-generated data-matrix and static QR-codes are shown down to the systems resolution limit to demonstrate successful digital adaptations during exposure time. The novel IR-resists exhibit high resolution and low reflectance, making them ideal for their integration in advanced imaging applications. The novelty of the technology was proven by the optimization of specialized software features, which were designed to overcome the challenges associated with the lithographic patterning in high-performance applications. © 2025 SPIE.

关键词： dynamic die annotations patterning high resolution patterning IR-resists LITHOSCALE® maskless exposure RGB-IR image sensor applications traceability

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A machine learning-based state estimation approach for varying noise distributions 32

A machine learning-based state estimation approach for varyi...

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conference on Signal Processing, sensor/Information Fusion, and Target Recognition xxxII

作者： Hilal, Waleed Gadsden, Stephen A. Yawney, John McMaster Univ 1280 Main St Hamilton ON L8S 4L8 Canada Adastra Corp 200 Bay St Toronto ON M5J 2J2 Canada

ISBN: (数字)9781510662117

ISBN: (纸本)9781510662100;9781510662117

The field of estimation theory is concerned with providing a system with the ability to extract relevant information about the environment, resulting in more effective interaction with the system's surroundings through more well-informed, robust control actions. However, environments often exhibit high degrees of nonlinearity and other unwanted effects, posing a significant problem to popular techniques like the Kalman filter (KF), which yields an optimal only under specific conditions. One of these conditions is that the system and measurement noises are Gaussian, zero-mean with known covariance, a condition often hard to satisfy in practical applications. This research aims to address this issue by proposing a machine learning-based estimation approach capable of dealing with a wider range of noise types without the need for a known covariance. Harnessing the generative capabilities of machine learning techniques, we will demonstrate that the resultant model will prove to be a robust estimation strategy. Experimental simulations are carried out comparing the proposed approach with other conventional approaches on different varieties of functions corrupted by noises of varying distribution types.

关键词： Estimation theory Kalman filter machine learning robust estimation signal filtering nonlinear systems non-Gaussian noise

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BLDC Motor Trapezoidal Regulation Using Hall Effect sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Hansa Bhatiya Dushyant Patil Shriram Makune Swaraj Kadam Vishal Mahajan Harshal Vaidya Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pimpri Pune India Department of Electrical Engineering R. C. Patel College of Polytechnic India Department of Engineering Science Marathwada Mitramandal’s IoT Lohgaon Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications.

关键词： Commutation Velocity control Rotors Process control Hall effect Stability analysis Regulation sensors Torque measurement Reliability

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AraSync: Precision Time Synchronization in Rural Wireless Living Lab 30

AraSync: Precision Time Synchronization in Rural Wireless Li...

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30th International conference on Mobile Computing and Networking, ACM MobiCom 2024

作者： Nadim, Md Islam, Taimoor Ul Reddy, Salil Zhang, Tianyi Meng, Zhibo Afzal, Reshal Babu, Sarath Ahmad, Arsalan Qiao, Daji Arora, Anish Zhang, Hongwei Iowa State University United States Ohio State University United States

ISBN: (纸本)9798400704895

Time synchronization is a critical component in network operation and management, and it is also required by Ultra-Reliable, Low-Latency Communications (URLLC) in next-generation wireless systems such as those of 5G, 6G, and Open RAN. In this context, we design and implement AraSync as an end-to-end time synchronization system in the ARA wireless living lab to enable advanced wireless experiments and applications involving stringent time constraints. We make use of Precision Time Protocol (PTP) at different levels to achieve synchronization accuracy in the order of nanoseconds. Along with fiber networks, AraSync enables time synchronization across the AraHaul wireless x-haul network consisting of long-range, high-capacity mmWave and microwave links. In this paper, we present the detailed design and implementation of AraSync, including its hardware and software components and the PTP network topology. Further, we experimentally characterize the performance of AraSync from spatial and temporal dimensions. Our measurement and analysis of the clock offset and mean path delay show the impact of the wireless channel and weather conditions on the PTP synchronization accuracy. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： 5G mobile communication systems

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applications of Composite Microfluidic systems and Micro Total Analysis systems (μTAS) for Monitoring the State of Natural Soils, Swamps or Wetlands: Biodegradable Polymers of the μTAS Chip Moldings as sensor Layers for Weathering Estimations 9

Applications of Composite Microfluidic Systems and Micro Tot...

引用

9th International Technical conference on Frontiers of Hydraulic and Civil Engineering Technology, HCET 2024

作者： Gradov, Oleg V. Gradova, Margaret A. Maklakova, Irina A. Popov, Anatoly A. Varian, Ivetta N.N. Semenov Federal Research Center for Chemical Physics The Russian Academy of Sciences Moscow119991 Russia N.M. Emanuel Institute of Biochemical Physics The Russian Academy of Sciences Moscow119334 Russia

ISBN: (纸本)9781643685595

The ability to model / monitor biodegradation processes is vital for predicting the lifespan and environmental impact of biodegradable materials used in civil engineering applications. Digital analogs of Cholodny chambers and burried slides can be equipped with sensors to monitor changes in physical and chemical properties of the soil and materials over time (for example - lens-less optical sensors with multiphysical converters of non-optical signals into optical ones). This data can be used to develop predictive models that account for varying soil conditions, microbial populations, and material compositions. Such models can aid engineers in selecting appropriate materials for specific applications (for example - for long-term hydraulic expositions in contact with oceanic or freshwater plastisphere), ensuring that they meet both performance and environmental criteria. The surface characteristics of biodegradable composites significantly influence their interaction with soil microorganisms. By employing SEM and 2D FFT methods, researchers can gather valuable data on the mechanisms of biodegradation, including microbial colonization, enzymatic activity, and chemical breakdown processes. The usage of biodegradable and soil-modifiable composite buried slides and soil chambers allows for detailed examination of surface degradation, which are critical for understanding how materials will perform in real-world applications. By analyzing surface erosion, microbial biofilm formation, and chemical weathering, researchers can identify optimal formulations for biodegradable polymer composites that enhance their performance while minimizing ecological / toxicological impact. Consequently biodegradable and soil-modifiable polymer composite buried slides and soil chambers facilitate multiphysical predictive analysis of biodegradable polymeric composite materials, enabling engineers to make informed decisions regarding sustainable practices in eco-friendly civil and hydraulic engi

关键词： Weathering

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8-inch wafer level through glass via (TGV) interposer with 110-GHz bandwidth facing 128-GBaud 2.5D co-packaged optics (CPO)

8-inch wafer level through glass via (TGV) interposer with 1...

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2024 Asia Communications and Photonics conference, ACP 2024 and International conference on Information Photonics and Optical Communications, IPOC 2024

作者： Ge, Chang Wang, xinyi Du, Jiangbing Lin, xiaozhong Lei, Ting Du, Luping He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China Research and Development Department Shenzhen Photonics Valley Technology Co. Ltd. Shenzhen518114 China Nanophotonics Research Center Shenzhen Key Laboratory of Microscale Optical Information Technology Institute of Microscale Shenzhen University Shenzhen518060 China

TGV interposer fabricated by 8-inch glass wafer with 110-GHz bandwidth and 128-GBaud OOK signal interconnection is presented. Flip-chip packaging of EML and EIC chips were realized, proving great potential in 2.5D CPO... 详细信息

ISBN: (纸本)9798350379266

关键词： Flip chip devices

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Multi sensor Network System for Early Detection and Prediction of Forest Fires in Southeast Asia 33

Multi Sensor Network System for Early Detection and Predicti...

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33rd International Telecommunication Networks and applications conference, ITNAC 2023

作者： Kadir, Evizal Abdul Alomainy, Akram Daud, Hanita Maharani, Warih Muhammad, Noryanti Syafitri, Nesi Universitas Islam Riau Department of Informatics Engineering Pekanbaru28284 Indonesia School of Electronic Engineering Queen Mary University of London LondonE1 4NS United Kingdom Universiti Teknologi Petronas Department of Applied Mathematics Perak32610 Malaysia School of Computing Telkom University Bandung40257 Indonesia Universiti Malaysia Pahang Centre for Mathematics Sciences Kuantan26300 Malaysia

ISBN: (纸本)9798350317138

The increasing frequency and severity of forest and land fires have become a significant environmental concern, necessitating the development of effective early detection and prediction systems. This paper presents a novel approach to address the issue through the implementation of a multi-sensor network system for forest and land fires. The proposed system integrates an array of advanced multi-sensors strategically placed across the targeted regions to capture and analyze a wide range of fire-related data. The key objective of the system is to enable timely identification of potential fire hotspots by continuously monitoring various environmental parameters, including temperature, humidity, and infrared radiation. The collected data is then processed and analyzed using machine learning algorithms to identify fire patterns and predict the likelihood of fire outbreaks. The system utilizes a network of sensors, and the system offers real-time and comprehensive coverage, allowing for rapid response and timely deployment of fire suppression resources. Furthermore, the results of extensive field tests and evaluations, demonstrate the system's accuracy and efficiency in early fire detection and prediction. The proposed system offers a case in Indonesia which is Riau Province with high-risk cases almost every year. Plotting results data achieved and forecasting of the incident for the future in the year 2023 with a successful percentage up to 93.6%. Ultimately, the integration of the multi-sensor network system into existing fire management frameworks promises to enhance emergency response capabilities and foster proactive measures to preserve our valuable forests and lands. © 2023 IEEE.

关键词： Fires

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MEMS DIFFERENTIAL THERMOPILES FOR HIGH-SENSITIVITY HYDROGEN GAS DETECTION 36

MEMS DIFFERENTIAL THERMOPILES FOR HIGH-SENSITIVITY HYDROGEN ...

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36th IEEE International conference on Micro Electro Mechanical systems (MEMS)

作者： Zhang, Haozhi Jia, Hao Li, Ming xu, Pengcheng Li, xinxin Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol State Key Lab Transducer Technol Shanghai 200050 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781665493086

We report a MEMS differential thermopile sensor for high-sensitivity hydrogen (H-2) gas detection. By exploiting the single-sided microhole inter-etch and sealing (MIS) process, pairs of MEMS single-crystalline silicon thermopiles are batch fabricated into 2x1mm(2) dies. Each suspended thermopile is integrated with high-density thermocouples, allowing us to achieve a temperature sensitivity of similar to 27.8mV/degrees C. Such design ensures the detection of tiny temperature changes (down to similar to 1mK) caused by catalytic combustion of H-2-air mixture at 120 degrees C when the sensing thermopile is loaded with platinum nanoparticles-decorated aluminum oxide (Pt NPs@Al2O3) nanosheets. The sensors exhibit a linear response to H-2 concentration from 1.0% down to 5ppm with a response time of similar to 2.5s and a recovery time of similar to 1.7s (in 1% H-2), which are more sensitive than the previously reported MEMS thermopile H-2 sensors. The proposed sensors are also selective against other combustible gases and remain stable after 30 days. Our highly-sensitive, cost-effective MEMS differential thermopile sensors hold promise for H-2 leakage detection in industrial applications.

关键词： Hydrogen sensor MEMS thermopile MIS process High Sensitivity

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