Test Whats new message.
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Showing 1-25 of 4,741 resultsfor "Index Terms":Real-world Experiments
"Index Terms":Real-world Experiments
- Sort
Filter Results
Show
Sort By
Results
Performance evaluation of data dissemination in real-world wireless ad hoc networks
2011 International Conference on Communications and Information Technology (ICCIT)
Year: 2011 | Conference Paper |
Cited by: Papers (4)
This paper presents data dissemination performance of real-world wireless ad hoc networks under different conditions. All real-world experiments are conducted in an outdoor land and carried out by laptop computers running Windows Vista operating system. An application-layer multithreaded program is used to investigate network performance. In experiments, the behavior of two fundamental performance...Show More
Experimental Study of Pure Flooding Method for Localizing an Anycast Server in Wireless Ad Hoc Networks
2013 Palestinian International Conference on Information and Communication Technology
Year: 2013 | Conference Paper |
Cited by: Papers (1)
This paper presents performance of a flooding based any cast mechanism for locating the nearest server from a group of contents-equivalent servers in real-world wireless ad hoc networks. Any casting can be considered as an advantageous communication paradigm for ad hoc networks where resource efficiency and robustness is of the first importance. A series of experiments are conducted in an outdoor ...Show More
Analyzing and Implementing Peer-to-Peer Systems with the PeerSE Experiment Environment
2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing
Year: 2009 | Conference Paper |
This paper introduces the PeerSE experiment environment (EE) including concepts for a simulation-based analysis and implementation of P2P systems. The PeerSE EE supports a comparative analysis of P2P system models to identify models fulfilling given requirements. In a next step, model components are reused for implementing laboratory and real-world P2P systems. The integrated visualization for sim...Show More
Semi-Supervised Image Deraining Using Gaussian Processes
Recent CNN-based methods for image deraining have achieved excellent performance in terms of reconstruction error as well as visual quality. However, these methods are limited in the sense that they can be trained only on fully labeled data. Due to various challenges in obtaining real world fully-labeled image deraining datasets, existing methods are trained only on synthetically generated data an...Show More
Shuffled Patch-Wise Supervision for Presentation Attack Detection
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person’s face. Most of the state-of-the-art presentation attack detection (PAD) systems suffer from overfitting, where they achieve near-perfect scores on a single dataset but fail on a different dataset with more realistic data. This problem drives resear...Show More
Validation of Real-world Measurements Through Ray Tracing Simulation for 5G Urban Scenarios
Andreea V. Militaru;Razvan G. Lazar;Carlos Pascal;Ciprian R. Comsa;Ion Bogdan;Constantin F. Caruntu
2024 International Symposium on Electronics and Telecommunications (ISETC)
Year: 2024 | Conference Paper |
This paper presents an approach to validate ray tracing simulations using real-world measurements in 5G urban scenarios. The measurements were obtained by traversing specific routes and recording parameters such as position, Signal-to-Interference-plus-Noise Ratio (SINR), Reference Signal Received Power (RSRP), and Reference Signal Received Quality (RSRQ) using the Quectel RM500Q 5G module as user...Show More
An open experiment of mobile robot autonomous navigation at the pedestrian streets in the city — Tsukuba Challenge
Shin'ichi Yuta;Makoto Mizukawa;Hideki Hashimoto;Hirofumi Tashiro;Tsuyoshi Okubo
2011 IEEE International Conference on Mechatronics and Automation
Year: 2011 | Conference Paper |
Cited by: Papers (13)
We have been organizing the “Tsukuba Challenge, ” every year since 2007 in Tsukuba, Japan. The “Tsukuba Challenge” is a Real World Robot Challenge which aims at intelligent robot technology for realizing a practical autonomous robot that works in the real environment of daily life. As the objective task of the Tsukuba Challenge, the robots were required to make their way, safely and autonomously, ...Show More
Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings
Amelia Solon;Stephen Gordon;Jonathan McDaniel;Vernon Lawhern
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members via Collaborative Brain Computer Interface (cBCI). When group interest is detected and co-registered in time and space, it can be used to model the task relevance...Show More
A Semi-Empirical State of Health Estimation Method for Batteries of Electric Vehicles Operating in Varying Real-World Conditions
Lianfang Cai;Mark Holdstock;Manlio Valerio Morganti;Sridhar Ayyapureddi;Andrew Mcgordon
Present research on battery State of Health (SoH) estimation is mainly focusing on constant conditions, solely cycling conditions or solely storage conditions, whereas few attempts have been made for varying real-world conditions. Since batteries of electric vehicles (EVs) usually operate in varying conditions, it is of great importance to break the constraints of constant conditions, solely stora...Show More
Bayesian Experimental Design With Application to Dynamical Vehicle Models
IEEE Transactions on Robotics
Cited by: Papers (1)
In this article, we propose two novel experimental design techniques for designing maximally informative experiments to estimate the parameters of nonlinear dynamical vehicle models. The two techniques include a batch design and a sequential design technique that seek to maximize the expected Shannon information gain of the parameter distribution using either an online or offline approach (respect...Show More
Understanding ProtoGENI in Networking Courses for Research and Education
2013 Second GENI Research and Educational Experiment Workshop
Year: 2013 | Conference Paper |
Cited by: Papers (2)
Hands-on lab experience is often necessary and important, but it requires time and financial investment in computer and engineering curricula. The Global Environment for Network Innovations (GENI) is a real-world, repeatable, programmable, at-scale, virtual infrastructure for experiments in a variety of computer science areas such as networking, security, and distributed computing sponsored by Nat...Show More
Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control
Due to a lack of safety considerations, a wide range of multiagent reinforcement learning (MARL) applications are limited in real-world environments. Thus, ensuring MARL safety is essential and urgent in the domain. However, merely a few studies consider the safe MARL problem, and the investigation of real-world applications using safe MARL algorithms still needs to be improved. To fill this gap, ...Show More
Experimentation in the Operating System: The Windows Experimentation Platform
Paul Luo Li;Pavel Dmitriev;Huibin Mary Hu;Xiaoyu Chai;Zoran Dimov;Brandon Paddock;Ying Li;Alex Kirshenbaum;Irina Niculescu;Taj Thoresen
2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
Online controlled experiments are the gold standard for evaluating improvements and accelerating innovations in online and app worlds. However, little is known about applicability, implementation, and efficacy of experimentation for operating systems (OS), where many features are non-user-facing. In this paper, we present the Windows Experimentation platform (WExp), and insights from implementatio...Show More
Application-oriented quantum computing benchmark for an electromobility use case
2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
Year: 2022 | Conference Paper |
The reduction of CO2 emissions is one of the major challenges in the current century. A game-changer might be quantum computing due to the proposed capabilities. A key field of interest for reducing CO2 emissions is the energy sector being transformed from fossil-based to be based on renewable energies and simultaneously combining electricity, heating, mobility, and manufacturing industries.Here, ...Show More
How to Augment Simulated Environments by Services Supporting Self-Regulated Learning? A Baseline Study
2012 IEEE 12th International Conference on Advanced Learning Technologies
Year: 2012 | Conference Paper |
This paper takes up the concept of self-regulated learning (SRL) and reports results of a baseline study on a simulation for medical training. This study has been conducted to provide benchmark data and evidence of the need for the development of intelligent services for learners, e.g. metacognitive scaffolding. These services aim at augmenting existing simulators in order to close the gap between...Show More
A Personalized Comfort Space With Variable Shape Based on Environmental Information for Robot Navigation in Homes
When a robot navigates in home environments, its trajectories need not only to avoid collisions but also to meet the psychological comfort of family members. We propose a personalized comfort space with variable shape based on environmental information to enhance the comfort perception of different family members and ensure efficient navigation. Our method considers the different psychological dem...Show More
A Real-Time and Robust LiDAR SLAM System Based on IESKF for UGVs
2023 IEEE International Conference on Unmanned Systems (ICUS)
Year: 2023 | Conference Paper |
Positioning system is crucial for autonomous navigation of unmanned ground vehicles (UGVs), which provides the accurate position and orientation to perception and planning-control modules. However, the indispensable drifts will significantly affect the accuracy of the positioning system when lacking the global navigation satellite system (GNSS) signal. To address the common issues, this paper prop...Show More
Techniques for Real-World Implementation of a MANET
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
To fulfill the demands of present scenario cellular or Ad-Hoc communication is desired. Mobile ad-hoc networks (MANETs) are composed of wireless motile nodes, which actively interchange data among themselves in the absence of a permanent set-up. A Test-bed is a structure which supports testing, contrasting % computing designs and protocols in the physical-world. Some essential requirements of MANE...Show More
Active subspace learning
2009 IEEE 12th International Conference on Computer Vision
Year: 2009 | Conference Paper |
Cited by: Papers (2)
Many previous studies have shown that naturally occurring data cannot possibly fill up the high dimensional space uniformly, rather it must concentrate around lower dimensional structure. The typical supervised subspace learning algorithms to discover this low dimensional structure include Linear Discriminant Analysis (LDA). For LDA, the training data points are usually pre-given. However, in some...Show More
Experimental design and analysis of transmission properties in an indoor wireless sensor network
8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Year: 2010 | Conference Paper |
In this paper, we systematically investigate different factors and their effects on the wireless transmission properties using a full-factorial experimental design of a wireless sensor network in a real-world indoor environment. We quantify the impact of primary factors such as the wireless channel, physical position, transmission power, and their interactions on the received signal strength (RSS)...Show More
Efficient and Fast Real-World Noisy Image Denoising by Combining Pyramid Neural Network and Two-Pathway Unscented Kalman Filter
Recently, image prior learning has emerged as an effective tool for image denoising, which exploits prior knowledge to obtain sparse coding models and utilize them to reconstruct the clean image from the noisy one. Albeit promising, these prior-learning based methods suffer from some limitations such as lack of adaptivity and failed attempts to improve performance and efficiency simultaneously. Wi...Show More
Towards Measuring Real-World Performance of Android Devices
Pascal Bissig;Gino Brunner;Florian Gubler;Roger Wattenhofer;Andreas Zingg
2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
In this paper we investigate how to measure real world performance of Android devices using app start durations. To this end we collect ground truth app start times using an automated mechanical setup. The ground truth start times are highly correlated with the outputs from Android's ActivityManager, which we then use to obtain app start times during normal use on a range of rooted devices. We the...Show More
Computational Learning Analytics to Estimate Location-Based Self-Regulation Process of Real-World Experiences
A learner can autonomously acquire knowledge by experiencing the world, without necessarily being explicitly taught. The contents and ways of this type of real-world learning are grounded on his/her surroundings and are self-determined by computing real-world information. However, conventional studies have not modeled, observed, or understood a learner's self-regulation mechanism of real-world lea...Show More
LTspice model of a solar thermoelectric generation system
2016 Clemson University Power Systems Conference (PSC)
Year: 2016 | Conference Paper |
Transient heat transfer analysis by means of analytical methods is known to be cumbersome. This paper seeks to develop an LTspice model of a real-world solar thermoelectric generation system. The thermal parameters of the proposed model were extracted from a multitude of parts' geometries and properties. These parameters were then converted into their electrical equivalences through the “thermal-t...Show More
On the Time Synchronization of Distributed Log Files in Networks With Local Broadcast Media
BjÖrn Scheuermann;Wolfgang Kiess;Magnus Roos;Florian Jarre;Martin Mauve
Real-world experiments in computer networks typically result in a set of log files, one for each system involved in the experiment. Each log file contains event timestamps based on the local clock of the respective system. These clocks are not perfectly accurate, and deviate from each other. For a thorough analysis, however, a common time basis is necessary. In this paper, we tackle the fundamenta...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.