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22nd acm Internet measurement Conference (IMC)

作者： Anderson, Scott Salamatian, Loqman Bischof, Zachary S. Dainotti, Alberto Barford, Paul Univ Wisconsin Madison Madison WI 53705 USA Columbia Univ New York NY USA Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781450392594

Maps of physical and logical Internet connectivity that are informed by and consistent with each other can expand scope and improve accuracy in analysis of performance, robustness and security. In this paper, we describe a methodology for linking physical and logical Internet maps that aims toward a consistent, cross-layer representation. Our approach is constructive and uses geographic location as the key feature for linking physical and logical layers. We begin by building a representation of physical connectivity using on-line sources to identify locations that house transport hardware (i.e., PoPs, colocation centers, IXPs, etc.), and approximate locations of links between these based on shortest-path rights-of-way. We then utilize standard data sources for generating maps of IP-level and AS-level logical connectivity, and graft these onto physical maps using geographic anchors. We implement our methodology in an open-source framework called the Internet Geographic Database (iGDB), which includes tools for updating measurement data and assuring internal consistency. iGDB is built to be used with ArcGIS, a geographic information system that provides broad capability for spatial analysis and visualization. We describe the details of the iGDB implementation and demonstrate how it can be used in a variety of settings.

关键词： Physical Internet Infrastructure Logical Internet Infrastructure Geographic Information systems

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Exploiting Operator-Level Concurrency Control to Guide Deployment for Real-Time Tasks in Edge AI Cluster 25

Exploiting Operator-Level Concurrency Control to Guide Deplo...

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proceedings of the 23rd acm Conference on Embedded Networked Sensor systems

作者： Changyao Lin Ziyang Zhang Jie Liu School of Computer Science and Technology Harbin Institute of Technology Harbin Heilongjiang China NESLab Politecnico di Milano Milano Italy National Key Laboratory of Smart Farm Technologies and Systems Harbin Institute of Technology Harbin Heilongjiang China International Research Institute for Artificial Intelligence Harbin Institute of Technology Shenzhen Guangdong China

ISBN: (纸本)9798400714795

Existing task deployment frameworks for edge clusters optimize at the model-level, lacking fine-grained resource awareness and concurrency control, where the urgent tasks are frequently blocked and miss their deadlines. Therefore, we propose a multi-level collaborative deployment framework Coconut for real-time deep learning tasks in the typical heterogeneous edge GPU cluster. Coconut collaboratively optimizes model deployment and fine-grained concurrency control. To address the high complexity of multi-level collaborative optimization, we employ an efficient learning-based search algorithm. Based on the operator-level information, we also pre-train an accurate latency predictor for each device, enabling centralized optimization to further accelerate the search. We conduct a preliminary evaluation in an edge cluster and validate the effectiveness of Coconut.

关键词： edge computing

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Simulation and analysis of Accelerometer Bias Estimation in Inertial Navigation System

Simulation and Analysis of Accelerometer Bias Estimation in ...

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2023 International Conference on Circuit Power and computing Technologies, ICCPCT 2023

作者： Shankar, Atava Somu Suresh Kumar, E. College of Engineering Trivandrum Department of Electronics and Communication Engineering Trivandrum India

ISBN: (纸本)9798350333244

The Inertial Navigation System (INS) is a navigation system that determines the position, velocity, and orientation of a moving object without the aid of outside references. It does this by using gyroscopes and accelerometers. The most severe errors of INS are Direct Current (DC) offset or bias drift and scale factor variation. The estimate and correction of these limitations are necessary for accurate navigation. While measuring these errors measurement noise and process noise are the error sources that affect the measurement. The proposed method for measuring the bias from the accelerometer uses a Kalman filter. Estimation is done by using the Kalman filter, which has the predict and update stages, a recursive filter that uses state space techniques. Three accelerometer output is used for analyzing the bias factors of all three axes of INS. Accelerometer output is filtered using a Kalman filter to get the noisy free output. The proposed method effectively filters out the noises which present in the measurement and can estimate the accelerometer bias without the help of a turntable. © 2023 IEEE.

关键词： Inertial navigation systems

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Embodied measurement: Tangible Interactions to Enhance the Validity of Self-Report Measures 25

Embodied Measurement: Tangible Interactions to Enhance the V...

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2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Uhl, Jakob Carl Regal, Georg Koesten, Laura Oppermann, Michael Murtinger, Markus Tscheligi, Manfred Center for Technology Experience Austrian Institute of Technology GmbH Vienna Austria Paris Lodron University of Salzburg Salzburg Austria Faculty of Computer Science Univ. of Vienna Vienna Austria

ISBN: (纸本)9798400713941

This work introduces the concept of Embodied measurement (EM), designed to improve the validity and inclusivity of cognitive load assessments by incorporating physical interactions that mirror mental effort. We implemented a haptic force-feedback turning knob as an alternative to traditional Likert-scale ratings and compared it with visual (mouse-based) and combined (haptic and visual) modalities. Participants completed a cognitive load task with varying difficulty levels using each modality, while biosignals such as heart rate variability, skin conductance, and pupil size were recorded to objectively assess cognitive load. In addition, qualitative feedback was gathered to explore participants' experiences with each input method. Our findings highlight the potential of EM to offer more tangible and intuitive ways of measuring cognitive load, with the combined modality providing the most comprehensive feedback. This study contributes to human-computer interaction (HCI) research by proposing new approaches for measuring cognitive and emotional effort through physical interaction. © 2025 Copyright held by the owner/author(s).

关键词： Cognitive load

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Uncovering 5G Performance on Public Transit systems with an App-based measurement Study 22

Uncovering 5G Performance on Public Transit Systems with an ...

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25th acm International Conference on Modeling analysis and Simulation of Wireless and Mobile systems (MSWiM)

作者： Fiandrino, Claudio Juarez Martinez-Villanueva, David Widmer, Joerg IMDEA Networks Inst Madrid Spain

ISBN: (纸本)9781450394796

Fifth-generation (5G) networks are now entering a stable phase in terms of commercial release. 5G design is flexible to support a diverse range of radio bands (i.e., low-, mid-, and high-band) and application requirements. Since its initial roll-out in 2019, extensive measurements studies have revealed key aspects of commercial 5G deployments (e.g., coverage, signal strength, throughput, latency, handover, and power consumption among the others) for several scenarios (e.g., pedestrian and car mobility, mid-, and high-bands, etc.). In this paper, we take a different angle than previous studies and carry out an in-depth measurement study of 5G in a large public bus transit system in a major European city. For several mobile network operators, we identify how flexible the network deployment is by analyzing Radio Resource Control (RRC) messages, mobility management, and application performance.

关键词： 5G Cellular Network measurement Public Transit System

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Enhanced Cross-Coupled Voltage Controlled Oscillator Design Through Tuned Amplifier Integration 2

Enhanced Cross-Coupled Voltage Controlled Oscillator Design ...

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2nd International Conference on Recent Trends in Microelectronics, Automation, computing, and Communications systems, ICMACC 2024

作者： Ganesh, Chokkakula. Lanka, Dharma Teja Akhila, Guguloth VNR VJIET Department of ECE Hyderabad India

ISBN: (纸本)9798350366570

This paper presents a comparative analysis of various Voltage-Controlled Oscillator (VCO) designs, focusing on key performance parameters such as tuning control voltage range, phase noise, delay, power consumption, and frequency range. The Proposed Tunable Amplifier VCO (TA-VCO) exhibits a wide tuning control voltage range of 0.6 - 7.5 V, enabling greater flexibility in frequency adjustment. While the Proposed TA-VCO operates within a higher frequency range of 0.9 - 1.31 GHz, suitable for high-speed applications, it does so at the cost of increased power consumption at 171.043 μW. The findings suggest that the TA-VCO provides a balanced performance in high-frequency applications, though the choice of VCO design should be guided by specific application requirements, whether prioritizing phase noise, power efficiency, or operating frequency. © 2024 IEEE.

关键词： Q factor measurement

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proceedings - 2023 42nd International Symposium on Reliable Distributed systems, SRDS 2023

Proceedings - 2023 42nd International Symposium on Reliable ...

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42nd International Symposium on Reliable Distributed systems, SRDS 2023

ISBN: (纸本)9798350329100

The proceedings contain 23 papers. The topics discussed include: resource optimization of stream processing in layered Internet of Things;range-based set reconciliation;FreSh: a lock-free data series index;PRISPARK: differential privacy enforcement for big data computing in Apache spark;subdomain protection is needed: an SPF and DMARC-based empirical measurement study and proactive solution of email security;low-overhead routing for offchain networks with high resource utilization;SilenTower: a robust, scalable and secure watchtower with silent executors;extending the boundaries and exploring the limits of blockchain compression;detective-dee: a non-intrusive in situ anomaly detection and fault localization framework;and CRIBA: a tool for comprehensive analysis of cryptographic ransomware’s I/O behavior.

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A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries 23

A World Full of Privacy and Security (Mis)conceptions? Findi...

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CHI conference on Human Factors in computing systems (CHI)

作者： Herbert, Franziska Becker, Stefen Schaewitz, Leonie Hielscher, Jonas Kowalewski, Marvin Sasse, M. Angela Acar, Yasemin Duermuth, Markus Ruhr Univ Bochum Bochum Germany Max Planck Inst Secur & Privacy Bochum Germany George Washington Univ Washington DC 20052 USA Leibniz Univ Hannover Hannover Germany

ISBN: (纸本)9781450394215

Misconceptions about digital security and privacy topics in the general public frequently lead to insecure behavior. However, little is known about the prevalence and extent of such misconceptions in a global context. In this work, we present the results of the first large-scale survey of a global population on misconceptions: We conducted an online survey with n = 12, 351 participants in 12 countries on four continents. By investigating influencing factors of misconceptions around eight common security and privacy topics (including E2EE, Wi-Fi, VPN, and malware), we find the country of residence to be the strongest estimate for holding misconceptions. We also identify differences between non-Western and Western countries, demonstrating the need for region-specific research on user security knowledge, perceptions, and behavior. While we did not observe many outright misconceptions, we did identify a lack of understanding and uncertainty about several fundamental privacy and security topics.

关键词： Security Misconceptions Online Survey Co-variance analysis Human-Centered Security

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On the Asymptotic Insensitivity of the Supermarket Model in Processor Sharing systems

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proceedings of the acm on measurement and analysis of computing systems 2021年第2期5卷 1–28页

作者： Kielanski, Grzegorz Van Houdt, Benny Univ Antwerp Middelheimlaan 1 B-2020 Antwerp Belgium

The supermarket model is a popular load balancing model where each incoming job is assigned to a server with the least number of jobs among d randomly selected servers. Several authors have shown that the large scale limit in case of processor sharing servers has a unique insensitive fixed point, which naturally leads to the belief that the queue length distribution in such a system is insensitive to the job size distribution as the number of servers tends to infinity. Simulation results that support this belief have also been reported. However, global attraction of the unique fixed point of the large scale limit was not proven except for exponential job sizes, which is needed to formally prove asymptotic insensitivity. The difficulty lies in the fact that with processor sharing servers, the limiting system is in general not monotone. In this paper we focus on the class of hyperexponential distributions of order 2 and demonstrate that for this class of distributions global attraction of the unique fixed point can still be established using monotonicity by picking a suitable state space and partial order. This allows us to formally show that we have asymptotic insensitivity within this class of job size distributions. We further demonstrate that our result can be leveraged to prove asymptotic insensitivity within this class of distributions for other load balancing systems.

关键词： Power-of-d-choices load balancing supermarket model large-scale systems processor sharing asymptotic insensitivity

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ZuantuSet: A Collection of Historical Chinese Visualizations and Illustrations 25

ZuantuSet: A Collection of Historical Chinese Visualizations...

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2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Mei, Xiyao Zhang, Yu Yang, Chaofan Shi, Rui Yuan, Xiaoru Peking University Beijing China University of Oxford Oxford United Kingdom National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China Department of Computer Science University of Oxford United Kingdom Center for Research on Ancient Chinese History Peking University China National Engineering Laboratory for Big Data Analysis and Application Peking University China PKU-WUHAN Institute for Artificial Intelligence China

ISBN: (纸本)9798400713941

Historical visualizations are a valuable resource for studying the history of visualization and inspecting the cultural context where they were created. When investigating historical visualizations, it is essential to consider contributions from different cultural frameworks to gain a comprehensive understanding. While there is extensive research on historical visualizations within the European cultural framework, this work shifts the focus to ancient China, a cultural context that remains underexplored by visualization researchers. To this aim, we propose a semi-automatic pipeline to collect, extract, and label historical Chinese visualizations. Through the pipeline, we curate ZuantuSet, a dataset with over 71K visualizations and 108K illustrations. We analyze distinctive design patterns of historical Chinese visualizations and their potential causes within the context of Chinese history and culture. We illustrate potential usage scenarios for this dataset, summarize the unique challenges and solutions associated with collecting historical Chinese visualizations, and outline future research directions. © 2025 Copyright held by the owner/author(s). Publication rights licensed to acm.

关键词： Flow visualization

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