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

共 9265 条记录，以下是411-420 订阅

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Multi-dimensional Optimization of a Visual Model for measurement Assurance of Model-Specific Test Equipment that Integrates Data Flow Information analysis 2

Multi-dimensional Optimization of a Visual Model for Measure...

引用

2nd International Conference on Sustainable computing and Data Communication systems, ICSCDS 2023

作者： Ji, Qiang Shenyang Aircraft Design & Research Institute Shenyang110035 China

ISBN: (纸本)9781665491990

Multi-dimensional optimization of a visual model for measurement assurance of model-specific test equipment that integrates data flow information analysis is the focus of this study. According to the different emphases of the 3D reconstruction of the model, this study considers 3D reconstruction of plant based on the model, the 3D reconstruction of the plant based on the image and the 3D reconstruction of the plant based on the scanning data set. All work done to then achieve the required measurement accuracy. Furthermore, for the graph cut, the considered algorithm uses the method of adding the edges, that is, continuously adding the edge with the smallest weight while ensuring that no loops are generated. Its fundamental purpose is to ensure product quality, improve efficiency, and improve the general level. Model cost accounting and management should speak with the data. Hence, the measurement assurance of model-specific test equipment is then implemented. Through the systematic model, the performance is tested. This study describes the properties of the experimental benchmark graph and also test the cutting performance. © 2023 IEEE.

关键词： Information analysis

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Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification 24

Evolution-aware VAriance (EVA) Coreset Selection for Medical...

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32nd acm International Conference on Multimedia, MM 2024

作者： Hong, Yuxin Zhang, Xiao Zhang, Xin Zhou, Joey Tianyi College of Computer Science South-Central Minzu University Wuhan China Key Laboratory of Cyber-Physical Fusion Intelligent Computing State Ethnic Affairs Commission South-Central Minzu University Wuhan China XiDian University Xi'an China Singapore

ISBN: (纸本)9798400706868

In the medical field, managing high-dimensional massive medical imaging data and performing reliable medical analysis from it is a critical challenge, especially in resource-limited environments such as remote medical facilities and mobile devices. This necessitates effective dataset compression techniques to reduce storage, transmission, and computational cost. However, existing coreset selection methods are primarily designed for natural image datasets, and exhibit doubtful effectiveness when applied to medical image datasets due to challenges such as intra-class variation and inter-class similarity. In this paper, we propose a novel coreset selection strategy termed as Evolution-aware VAriance (EVA), which captures the evolutionary process of model training through a dual-window approach and reflects the fluctuation of sample importance more precisely through variance measurement. Extensive experiments on medical image datasets demonstrate the effectiveness of our strategy over previous SOTA methods, especially at high compression rates. EVA achieves 98.27% accuracy with only 10% training data, compared to 97.20% for the full training set. None of the compared baseline methods can exceed Random at 5% selection rate, while EVA outperforms Random by 5.61%, showcasing its potential for efficient medical image analysis. © 2024 acm.

关键词： Medical imaging

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From Thoughts to Interaction: Designing Controls for Video Playback Gestures with Embodied Schemata

From Thoughts to Interaction: Designing Controls for Video P...

引用

Extended Abstracts of the 2023 CHI Conference on Human Factors in computing systems, CHI EA 2023

作者： Friedman, Adina Cafaro, Francesco Luddy School of Informatics Computing and Engineering Iupui IndianapolisIN United States

ISBN: (纸本)9781450394222

Interactive public displays are now pervasive;however, designing gestures to interact with them is still a challenge for embodied interaction. We introduce a methodology, based on Conceptual Metaphor Theory (CMT) and Elicitation Studies, that can inform the work of interaction designers when they craft gestures that "make sense"to their users. Our approach is structured in three phases: elicitation, analysis, and design. Through the use case of an interactive video player, we describe how we collected data from participants in an elicitation study, how we extracted the embodied schemata that users associated with each video function, and how an interaction designer can use those schemata to design multiple gestures. We then present the results of a survey that show that the gestures generated with embodied schemata made more sense to people than those crafted without using embodied schemata. © 2023 Owner/Author.

关键词： User interfaces

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An Evaluation of Service Mesh Frameworks for Edge systems 6

An Evaluation of Service Mesh Frameworks for Edge Systems

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6th International Workshop on Edge systems, Analytics and Networking (EdgeSys)

作者： Elkhatib, Yehia Poyato, Jose Povedano Univ Glasgow Sch Comp Sci Glasgow Lanark Scotland

ISBN: (纸本)9798400700828

Service Mesh Technologies (SMTs) are increasingly popular in simplifying the networking between microservices. They allow one to declaratively and programmatically define service-to-service policies and interactions, and take all sorts of network management logic (e.g., traffic splitting, request tracing, security, reliability) out of the application. This simplifies the development of microservice architectures, which are widely used in cloud and edge applications. However, the suitability for different SMTs for use in edge applications is unclear. Thus, this work compares the two most popular SMTs (Istio and Linkerd) in terms of performance and overhead for resource-constrained devices. Through extensive experimentation and comparing with a baseline of standard networking in a Kubernetes cluster, we identify that Linkerd offers a more edge-friendly SMT option in contrast to Istio. Overall, Istio's communications are similar to 10% slower than Linkerd at an increased 1.2-1.4x more memory and similar to 1.2x more CPU utilization.

关键词： Service Mesh Edge computing IoT Networking System Performance and measurement

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Independence for Whom? A Critical Discourse analysis of Onboarding a Home Health Monitoring System for Older Adult Care 23

Independence for Whom? A Critical Discourse Analysis of Onbo...

引用

CHI conference on Human Factors in computing systems (CHI)

作者： Czech, Elaine Soubutts, Ewan Eardley, Rachel O'Kane, Aisling Univ Bristol Bristol Avon England

ISBN: (纸本)9781450394215

Home health monitoring systems (HHMS) are presented as a cost-effective solution that will assist with collaborative care of older adults. However, instead of care recipients feeling like collaborators, such systems often disempower them. In this paper, we examine the dissemination, onboarding, and initial use of an HHMS to see how the discourse used by developers and participants affects users' collaborative care efforts. We found that the textual information provided often contrasted with how our participants managed their care. Instead of providing participants with 'independence,' 'safety,' and 'peace of mind,' care recipients were placed in a more dependent, less proactive role, and care providers were pressured to take on more responsibilities. We position HHMS, as they are currently marketed and onboarded, as normalizing pseudo-institutionalization. As an alternative we advocate that the discourse and design of such systems should reflect and re-enforce the varied roles care recipients take in managing their care.

关键词： critical discourse analysis onboarding older adults accessibility

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analysis of ECDSA's Computational Impact on IoT Network Performance 2023

Analysis of ECDSA's Computational Impact on IoT Network Perf...

引用

Annual acm Southeast Conference (acmSE)

作者： Clark, Joseph Ali, Farha Lander Univ Greenwood SC 29649 USA

ISBN: (纸本)9781450399210

The Internet of Things (IoT) is transforming the world. On the one hand, its rapid integration into many systems is making automation easier, but on the other hand dependence of many processes on IoT is also making the IoT an attractive target for exploitation. One of the attacks that IoT devices can suffer from is device impersonation. To verify that the sender of a piece of information is who it claims to be, digital signatures are a solution. Applying digital signatures requires some overhead, and that overhead may impact the performance of an IoT network. In this paper, we observed the computational impact of using the Elliptic Curve Digital Signature Algorithm (ECDSA) to create and verify IoT devices' digital signatures. We used two criteria to evaluate the performance of our small IoT network: the packet loss and the average time needed to sign and verify a packet in a small IoT network. We also analyzed the same system without using digital signatures. Our evaluations show that in a small IoT sensor network, ECDSA computational impact is quite low.

关键词： Elliptic Curve Cryptography Embedded Devices Internet of Things Cybersecurity Authentication

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FA3: Fine-Grained Android Application analysis 23

FA3: Fine-Grained Android Application Analysis

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24th International Workshop on Mobile computing systems and Applications, HotMobile 2023

作者： Lin, Yan Wong, Joshua Gao, Debin Jinan University Guangzhou China Singapore Management University Singapore

ISBN: (纸本)9798400700170

Understanding Android applications' behavior is essential to many security applications, e.g., malware analysis. Although many systems have been proposed to perform such dynamic analysis, they are limited by their applicable analysis environment (on device vs. emulator), transparency to subject apps, applicable runtime (Dalvik vs. ART), applicable system stack, or granularity. In this paper, we propose FA3 (Fine-Grained Android Application analysis), a novel on-device, non-invasive, and fine-grained analysis platform by leveraging existing profiling mechanisms in the Android Runtime (ART) and kernel to inspect method invocations and control-flow transfers for both Java methods and third-party native libraries. FA3 embeds its tracing capability in multiple layers of the Android system stack to not only capture fine-grained application behaviors but ensure even non-conventional or malicious tricks of loading and executing OAT/ELF binaries cannot escape our monitoring. We carefully evaluated FA3 using real-world malware. Experimental results showed that FA3 successfully analyzes sophisticated malware samples and provides a comprehensive view of their behavior. © 2023 acm.

关键词： Android (operating system)

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Optimizing Direct Convolutions on ARM Multi-Cores 23

Optimizing Direct Convolutions on ARM Multi-Cores

引用

2023 International Conference for High Performance computing, Networking, Storage and analysis, SC 2023

作者： Wang, Pengyu Yang, Weiling Fang, Jianbin Dong, Dezun Huang, Chun Zhang, Peng Tang, Tao Wang, Zheng College of Computer Science and Technology National University of Defense Technology Changsha China School of Computing University of Leeds Leeds United Kingdom

ISBN: (纸本)9798400701092

Convolution kernels are widely seen in deep learning workloads and are often responsible for performance bottlenecks. Recent research has demonstrated that a direct convolution approach can outperform the traditional convolution implementation based on tensor-to-matrix conversions. However, existing approaches for direct convolution still have room for performance improvement. We present nDirect, a new direct convolution approach that targets ARM-based multi-core CPUs commonly found in smartphones and HPC systems. nDirect is designed to be compatible with the data layout formats used by mainstream deep learning frameworks but offers new optimizations for the computational kernel, data packing, and parallelization. We evaluate nDirect by applying it to representative convolution kernels and demonstrating its performance on four distinct ARM multi-core CPU platforms. We compare nDirect against state-of-the-art convolution optimization techniques. Experimental results show that nDirect gives the best overall performance across evaluation scenarios and platforms. © 2023 acm.

关键词： Convolution

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Pushing the Throughput Limit of OFDM-based Wi-Fi Backscatter Communication 24

Pushing the Throughput Limit of OFDM-based Wi-Fi Backscatter...

引用

30th International Conference on Mobile computing and Networking, acm MobiCom 2024

作者： Qin, Qihui Chen, Kai Xie, Yaxiong Luo, Heng Fang, Dingyi Chen, Xiaojiang Northwest University China Shaanxi International Joint Research Centre for the Battery-Free Internet of Things China Xi'an Key Laboratory of Advanced Computing and System Security China Internet of Things Research Center Northwest University China University at Buffalo SUNY New York United States Xi'an Advanced Battery-Free Sensing and Computing Technology International Science and Technology Cooperation Base China

ISBN: (纸本)9798400704895

The majority of existing Wi-Fi backscatter systems transmit tag data at rates lower than 250 kbps, as the tag data is modulated at OFDM symbol level, allowing for demodulation using commercial Wi-Fi receivers. However, it is necessary to modulate tag data at OFDM sample level to satisfy the requirements for higher throughput. A comprehensive theoretical analysis and experimental investigation conducted in this paper demonstrates that demodulating sample-level modulated tag data using commercial Wi-Fi receivers is unattainable due to excessive computational overhead and demodulation errors. This is because the significant tag information dispersion, loss, and shuffling are caused by Wi-Fi physical layer operations. We conclude that the optimal position for demodulation is the time-domain IQ samples, which do not undergo any Wi-Fi physical layer operations and preserve the intact, ordered, and undispersed information of tag-modulated data, thereby minimizing complexity and maximizing *** devise a demodulation algorithm using time domain IQ samples and implement on two types of demodulator: a dual radio chain demodulator and a single radio chain demodulator. Experiments show that our demodulation algorithm not only decrease the BER by at least three orders of magnitude, but also reduces the time complexity from exponential to linear. It achieves a tag data rate of up to 10 Mbps with QPSK modulation and a BER at 10-4 for the dual radio chain demodulator, and a tag data rate of up to 1 Mbps with BPSK and a BER at 10-4 for the single radio demodulator. We believe our results pave the way for designing Wi-Fi backscatter system with extremely high throughput. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to acm.

关键词： Demodulation

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Otter: Simplifying Embedded Sensor Data Collection and analysis using Large Language Models 23

Otter: Simplifying Embedded Sensor Data Collection and Analy...

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29th Annual International Conference on Mobile computing and Networking, MobiCom 2023

作者： Waskito, Steven Leow, Kai Jie Medaranga, Pramuka Gupta, Tejas Chakrabarty, Shantanu Gulati, Manoj Varshney, Ambuj National University of Singapore Singapore60017161 Singapore School of Computing National University of Singapore Singapore60017161 Singapore Iit Kanpur Kanpur60021988 India Ncs Group Singapore Singapore

ISBN: (纸本)9781450399906

Wireless embedded systems assist us in collecting data from the physical world, through sensor data analysis, such systems allow us to understand our environment. However, deploying wireless embedded systems and analyzing the collected data remains significantly challenging. This is due to the steep learning curve required to implement custom machine-learning models and other algorithms for data analysis. Furthermore, it is also challenging to program individual embedded devices. The diversity of the available platforms and their capabilities further compounds this problem. In response, we introduce an end-to-end system, called the Otter. It facilitates simple sensor data collection using commodity-embedded platforms. Moreover, it employs a large language model to design a natural language interface for the analysis and extraction of useful information from the sensor data. We present our preliminary work on prototyping this system, applying it to a specific use case of hand gesture detection. Otter represents one of the first systems to leverage the enhanced capabilities of large language models for simplifying wireless embedded system deployments. © 2023 Owner/Author(s).

关键词： Data acquisition

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