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检索条件"任意字段=Proceedings of the ACM on Measurement and Analysis of Computing Systems"

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Software-Hardware Binding for Protection of Sensitive Data in Embedded Software 25

Software-Hardware Binding for Protection of Sensitive Data i...

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40th Annual acm Symposium on Applied computing, SAC 2025

作者： Fischer, Bernhard Dorfmeister, Daniel Ferrarotti, Flavio Penz, Manuel Kargl, Michael Zeinzinger, Martina Eibensteiner, Florian Software Competence Center Hagenberg Hagenberg Austria Embedded Systems Lab University of Applied Sciences Upper Austria Hagenberg Austria

ISBN: (纸本)9798400706295

Embedded software used in industrial systems frequently relies on data that ensures the correct and efficient operation of these systems. Thus, companies invest considerable resources in fine-tuning this data, making it their valuable intellectual property (IP). We present a novel protection mechanism for this IP that combines hardware fingerprints with Boolean logic. Unlike usual copy-protection approaches, unauthorised copies of the software still run on cloned devices but suboptimally. According to our security evaluation, only a complex dynamic analysis of the protected software running on the genuine target device can reveal the secret data. This makes the protection offered by our method more difficult to bypass. Notably, our approach does not require additional hardware, relying only on relatively simple updates to the software. We evaluate our protection mechanism by binding the parameters of a PID controller to a microcontroller unit (MCU) by using a physically unclonable function (PUF) based on its SRAM. Copyright © 2025 held by the owner/author(s).

关键词： Embedded software

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An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC systems 24

An Incremental Multi-Level, Multi-Scale Approach to Assessme...

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proceedings of the SC '24 Workshops of the International Conference on High Performance computing, Network, Storage, and analysis

作者： Shilpika Bethany Lusch Venkatram Vishwanath Michael E. Papka Argonne Leadership Computing Facility Argonne National Laboratory Argonne Leadership Computing Facility Argonne National Laboratory & Department of Computer Science University of Illinois Chicago

ISBN: (纸本)9798350355543

With the growing complexity in architecture and the size of large-scale computing systems, monitoring and analyzing system behavior and events has become daunting. Monitoring data amounting to terabytes per day are collected by sensors housed in these massive systems at multiple fidelity levels and varying temporal resolutions. In this work, we develop an incremental version of multiresolution dynamic mode decomposition (mrDMD), which converts high-dimensional data to spatial-temporal patterns at varied frequency ranges. Our incremental implementation of the mrDMD algorithm (I-mrDMD) promptly reveals valuable information in the massive environment log dataset, which is then visually aligned with the processed hardware and job log datasets through our generalizable rack visualization using D3 visualization integrated into the Jupyter Notebook interface. We demonstrate the efficacy of our approach with two use scenarios on a real-world dataset from a Cray XC40 supercomputer, Theta.

关键词： Dynamic mode decomposition

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Poster: Rethinking Embedded Sensor Data Processing and analysis with Large Language Models 23

Poster: Rethinking Embedded Sensor Data Processing and Analy...

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21st Annual International Conference on Mobile systems, Applications and Services, MobiSys 2023

作者： Sooriya Patabandige, Pramuka Medaranga Waskito, Steven Antya Orvala Li, Kunjun Leow, Kai Jie Chakrabarty, Shantanu Varshney, Ambuj National University of Singapore Singapore NCS Group Singapore

ISBN: (纸本)9798400701108

An important step in the deployment of wireless embedded systems is the analysis of the sensor data. Traditionally, this requires machine learning models tailored to the application use case. However, this step requires significant expertise from the end user and can be less adaptable to the dynamics of real-world deployments. In recent years, large language models have seen significant developments. These models have been shown to be capable of performing general-purpose tasks. In this work, we explore the hypothesis that large language models can be used to aid in sensor data analysis. Our preliminary findings through real-world experiments show significant promise for two tasks: inferring hand gestures through tracking of light and vibration sensor data. We believe these findings highlight the potential of large language models in sensor data analysis, and thus, it warrants further study. © 2023 Owner/Author(s).

关键词： Data handling

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Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure 23

Late Breaking Results: Configurable Ring Oscillators as a Si...

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proceedings of the 60th Annual acm/IEEE Design Automation Conference

作者： Hassan Nassar Simon Pankner Lars Bauer Jörg Henkel Chair for Embedded Systems Karlsruhe Institute of Technology Germany

ISBN: (纸本)9798350323481

Side-channel attacks are a threat to computing devices. In this work, we propose a novel countermeasure against power analysis side-channel attacks. This countermeasure uses ring oscillators with runtime-configurable chain lengths to generate noise to hide the effects of the secret intermediate values on the device's power consumption. We develop our countermeasure to be compatible with a state-of-the-art of side-channel-attack detection mechanism. Therefore, our solution does not incur any extra area overhead as it uses a subset of the circuit needed for detection. We evaluate our countermeasure using the test vector leakage assessment test (TVLA test). When our countermeasure is active no side-channel leakage could be detected.

关键词： side-channel analysis

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A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering 22

A Near-Storage Framework for Boosted Data Preprocessing of M...

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59th acm/IEEE Design Automation Conference (DAC) - From Chips to systems - Learn Today, Create Tomorrow

作者： Xu, Weihong Kang, Jaeyoung Rosing, Tajana Univ Calif San Diego La Jolla CA 92093 USA

ISBN: (纸本)9781450391429

Mass spectrometry (MS) has been a key to proteomics and metabolomics due to its unique ability to identify and analyze protein structures. Modern MS equipment generates massive amount of tandem mass spectra with high redundancy, making spectral analysis the major bottleneck in design of new medicines. Mass spectrum clustering is one promising solution as it greatly reduces data redundancy and boosts protein identification. However, state-of-the-art MS tools take many hours to run spectrum clustering. Spectra loading and preprocessing consumes average 82% execution time and energy during clustering. We propose a near-storage framework, MSAS, to speed up spectrum preprocessing. Instead of loading data into host memory and CPU, MSAS processes spectra near storage, thus reducing the expensive cost of data movement. We present two types of accelerators that leverage internal bandwidth at two storage levels: SSD and channel. The accelerators are optimized to match the data rate at each storage level with negligible overhead. Our results demonstrate that the channel-level design yields the best performance improvement for preprocessing - it is up to 187x and 1.8x faster than the CPU and the state-of-the-art in-storage computing solution, INSIDER, respectively. After integrating channel-level MSAS into existing MS clustering tools, we measure system level improvements in speed of 3.5x to 9.8x with 2.8x to 11.9x better energy efficiency.

关键词： Near-storage computing Mass spectrometry domain-specific acceleration

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Detecting challenge from physiological signals: A primary study with a typical game scenario

Detecting challenge from physiological signals: A primary st...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Peng, Xiaolan Meng, Chenyu Xie, Xurong Huang, Jin Chen, Hui Wang, Hongan Univ Chinese Acad Sci Inst Software Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Software Beijing Peoples R China

ISBN: (纸本)9781450391566

Challenge is the core element of digital games. Game challenge with an appropriate type and level that matches with players' skill, experience and motivation would lead players to achieve the optimal player experience. With a wider spectrum of challenge types such as physical, cognitive, and emotional challenge provided by modern digital games, a questionnaire tool of CORGIS has recently been developed to evaluate the whole range of challenge experiences subjectively. However, such challenge experiences still lack measures to evaluate them objectively "in real time". To explore the possibility to detect different challenge types based on physiological signals, we conducted an experiment where 12 players' physiological signals (EDA, ECG, EMG, RSP and TEM) of overcoming different types of game challenges were recorded. With 80 extracted physiological features, two methods (ANOVA-based and Regression-based) were adopted to select challenge-related physiological features. Results of logistic regression models showed that both methods obtained detection accuracy over 60%, which suggest potential for further development of a real-time challenge measurement instrument.

关键词： challenge digital games physiological signal analysis player experience

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IOT Based Teeth Pitfall measurement System

IOT Based Teeth Pitfall Measurement System

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2024 International Conference on Computational Intelligence for Green and Sustainable Technologies, ICCIGST 2024

作者： Mahalakshmi, S. Valarmathi, K. Krishnaleela, P. Narayanan, S.Suriya Sivadharsan, K.S. Sridhar, S. P.S.R.Engineering College Electronics and Communication Engineering Sivakasi India

ISBN: (纸本)9798350381887

Oral health monitoring is of paramount importance, and the early detection of teeth - related issues is crucial for preventive care. In this work, an effective embedded system for measuring dental pitfall is designed and put into operation using an ESP model, force sensors, Arduino, and cloud-based updates. The system aims to provide a non-intrusive and accessible solution for users to monitor dental health remotely. The proposed system utilizes Arduino as the embedded platform, integrating force sensors for accurate measurement of teeth pitfall forces during chewing. These force sensors are strategically placed within a custom-designed dental appliance, ensuring real- time data acquisition without discomfort to the user. Arduinos processing capabilities are harnessed to analyze the force data and extract relevant metrics related to teeth pitfall characteristics. To enhance the systems connectivity and enable seamless remote monitoring, an ESP module is employed to establish a secure and efficient communication link with the cloud. The cloud-based infrastructure facilitates real-time data transmission, storage, and analysis. The use of cloud computing ensures scalability, reliability, and accessibility, allowing both users and healthcare providers to access the teeth pitfall measurements anytime, anywhere. The systems architecture enables periodic cloud updates, providing users with insights into their dental health trends over time. Additionally, healthcare professionals can remotely assess the data, allowing for timely interventions and personalized recommendations. The ESP module ensures secure communication, protecting sensitive health information during transmission. The efficiency of the proposed system is demonstrated through extensive testing, validating its accuracy in measuring teeth pitfall forces. The integration of Arduino, force sensors, and cloud-based updates provides a comprehensive and user- friendly solution for continuous dental health monitoring

关键词： Data integration

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proceedings of the 6th International Conference on Algorithms, computing and systems, ICACS 2022

Proceedings of the 6th International Conference on Algorithm...

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6th International Conference on Algorithms, computing and systems, ICACS 2022

ISBN: (纸本)9781450397407

The proceedings contain 21 papers. The topics discussed include: simulative investigations of crowd evacuation by incorporating reinforcement learning scheme;research on energy consumption prediction method of new public buildings;an adjustable robust two-stage stochastic quadric programming and its solution with subgradient algorithms;a brief survey of quantum architecture search;predicting students’ performance using machine learning algorithms;path planning based on Astar algorithm in automatic driving;research on energy consumption baseline and evaluation algorithm of existing public buildings;a novel procedural content generation algorithm for tower defense games;characterization of graphs based on number of bends in corresponding floor plans;using database schemas of legacy applications for microservices identification: a mapping study;hand and arm gesture-based human-robot interaction: a review;a development of a secure charging system for public electric vehicle charging points;and system optimization of ROS-based open source autonomous driving platform on embedded board environment.

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THEORETICAL AND NUMERICAL analysis OF A SQUIRREL CAGE FAN

THEORETICAL AND NUMERICAL ANALYSIS OF A SQUIRREL CAGE FAN

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ASME 2024 International Mechanical Engineering Congress and Exposition, IMECE 2024

作者： Manuel, Fritsche Philipp, Epple Coburg University of Applied Sciences and Arts Coburg Bavaria Germany

ISBN: (纸本)9780791888667

A squirrel cage fan consists of a radial impeller with short, forward-curved blades and a spiral casing. This type of fan is widely used industrially, e.g. in building or automotive air conditioning and ventilation systems (HVAC) or other applications where high air mass flow rates and small dimensions are required. However, these squirrel cage fans have a comparatively low efficiency, and they represent a challenge in the design process. Because the short, forward-curved blades do not ensure a controlled flow guidance through the blade channel. The flow in squirrel cage fans is predominantly unsteady, turbulent and three-dimensional. In addition, even at the best efficiency point (BEP), unavoidable flow separations and vortex formation occur in the blade channels as well as in the spiral casing. In the present contribution, a comprehensive principle study with detailed analysis of the state of the art and subsequent investigations. The blade shape of the impeller was systematically varied and the influence on the fan's performance has been worked out. The influence of the blade length and the blade angle at the impeller inlet and outlet has been examined. In addition, the influence of splitter blades has been also examined. The numerical investigations were performed using 3D-RANS solved with the numerical solver ANSYS CFX. A detailed grid study was performed and the developed CFD simulation model was validated with existing measurement data from a well-known squirrel cage fan. The investigated parameter variations showed a significant influence on the performance of the squirrel cage fan. The analytical and numerical investigation as well as the results are shown and analyzed in detail. Copyright © 2024 by ASME.

关键词： Impellers

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Stochastic Coordination in Heterogeneous Load Balancing systems 21

Stochastic Coordination in Heterogeneous Load Balancing Syst...

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40th acm SIGACT-SIGOPS Symposium on Principles of Distributed computing (PODC)

作者： Goren, Guy Vargaftik, Shay Moses, Yoram Technion Haifa Israel VMware Res Herzliyya Israel

ISBN: (纸本)9781450385480

Current-day data centers and high-volume cloud services employ a broad set of heterogeneous servers. In such settings, client requests typically arrive at multiple entry points, and dispatching them to servers is an urgent distributed systems problem. This paper presents an efficient solution to the load balancing problem in such systems that improves on and overcomes problems of previous solutions. The load balancing problem is formulated as a stochastic optimization problem, and an efficient algorithmic solution is obtained based on a subtle mathematical analysis of the problem. Finally, extensive evaluation of the solution on simulated data shows that it outperforms previous solutions. Moreover, the resulting dispatching policy can be computed very efficiently, making the solution practically viable.

关键词： Distributed load balancing Heterogeneous load balancing Stochastically coordinated dispatching Parallel server model

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