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Dynamic timeout power policy for network interfaces

Dynamic timeout power policy for network interfaces

引用

IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Bruna M. J. C. Vilar Fabiano De M Silva Saulo O. D. Luiz J. J. Silva Hyggo Almeida Angelo Perkusich Post-Graduate Program in Electrical Engineering - PPgEE COPELE Embedded Systems and Pervasive Computing Laboratory Universidade Federal de Campina Grande Campina Grande PB BR Center of Electrical Engineering and Informatics Federal University of Campina Grande Campina Grande Brazil Embedded Systems and Pervasive Computing Laboratory Federal University of Campina Grande

Network interfaces are present in a variety of battery powered computer systems, such as notebooks, ultrabooks, tablets and mobile phones. Considering that the battery life is still a constraint, there are opportunities for power management by reducing the power consumption of idle network interfaces. In this work, a dynamic timeout power policy for network interfaces is presented, incorporating workload estimation and a problem optimization at runtime, thus providing power savings and suitable performance.

关键词： Heuristic algorithms Network interfaces Power demand Optimization Mobile handsets Internet Stochastic processes

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Modelling and solving university course timetabling problems through XHSTT 11

Modelling and solving university course timetabling problems...

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11th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2016

作者： Fonseca, George H.G. Santos, Haroldo G. Carrano, Eduardo G. Stidsen, Thomas J.R. Department of Computing and Information Systems Federal University of Ouro Preto St. Diogo de Vasconcelos 328 Ouro Preto MG35400-000 Brazil Department of Computing Federal University of Ouro Preto St. Diogo de Vasconcelos 328 Ouro Preto MG35400-000 Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais Av. Antônio Carlos 6627 Belo Horizonte MG31270-901 Brazil Department of Management Engineering Technical University of Denmark Produktionstorvet Kgs. LyngbyDK-2800 Denmark

ISBN: (纸本)9780992998417

The XHSTT was proposed as a standard format to express a wide range of School Timetabling problems. Although the format is powerful to represent different timetabling features, its application to University Course Timetabling (UCT) problems was not formally studied. The goal of this work is to present encodings from Curriculum-Based Course Timetabling (CB-CTT) and Post-Enrolment Course Timetabling (PE-CTT) to XHSTT and to evaluate how a state-of-art XHSTT solver performs on these problems. Computational experiments performed suggested that this approach is suitable for dealing with UCT: XHSTT solver would be ranked as fourth in CB-CTT track of the Second International Timetabling Competition (ITC2007) and it achieved feasible solutions for most PE-CTT instances within one hour. Although the results do not outperform the best known approaches for these problems, XHSTT solvers were designed to handle a wide range of features and constraints beyond the ones present in these models, making it able to fit the specific requirements of several universities. © PATAT *** rights reserved.

关键词： Curricula

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Multi-Instance Task in Swarm Robotics: Sorting Groups of Robots or Objects into Clusters with Minimalist Controllers

Multi-Instance Task in Swarm Robotics: Sorting Groups of Rob...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Adilson Krischanski Yuri K. Lopes Andre B. Leal Ricardo F. Martins Roberto S.U. Rosso Department of Computer Science Santa Catarina State University (UDESC) Joinville Brazil Graduate Program in Applied Computing (PPGCAP) UDESC Brazil Department of Electrical Engineering Santa Catarina State University (UDESC) Joinville Brazil

Relying only on behaviors that emerge from simple responsive controllers; swarms of robots have been shown capable of autonomously aggregate themselves or objects into clusters without any form of communication. We push these controllers to the limit, requiring robots to sort themselves or objects into different clusters. Based on a responsive controller that maps the current reading of a line-of-sight sensor to a pair of speeds for the robots' differential wheels, we demonstrate how multiple tasks instances can be accomplished by a robotic swarm. Using the dividing rectangles approach and physics simulation, a training step optimizes the parameters of the controller guided by a fitness function. We conducted a series of systematic trials in physics-based simulation and evaluate the performance in terms of dispersion and the ratio of clustered robots/objects. Across 20 trials where 30 robots cluster themselves into 3 groups, an average of 99.83% of them were correctly clustered into their group after 300 s. Across 50 trials where 15 robots cluster 30 objects into 3 groups, an average of 61.20%, 82.87%, and 97.73% of objects were correctly clustered into their group after 600 s, 900 s, and 1800 s, respectively. The object cluster behavior scales well while the aggregation does not, the latter due to the requirement of control tuning based on the number of robots.

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Systolic Array for Parallel Solution of the Robust Kalman Filter Used for Attitude and Position Estimations in UAVs

Systolic Array for Parallel Solution of the Robust Kalman Fi...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Leandro José Evilásio Campos Marco Henrique Terra Ricardo Menotti Roberto Santos Inoue Graduate Program in Electrical Engineering Federal University of São Carlos São Carlos SP Brazil Department of Electrical and Computer Engineering São Carlos School of Engineering University of São Paulo São Carlos SP Brazil Department of Computing Federal University of São Carlos

The efficient Kalman filter has been widely used in recent decades to obtain air navigation information in UAVs. However, for a good performance of the Kalman filter, the model that describes the system dynamics must not contain uncertainties. This paper presents the implementation of a robust Kalman filter to estimate the attitude, velocity, and position of UAVs. The robust filter considers uncertainties in the sensor models. A mathematical structure based on the solution of linear systems synthesizes the predictor-corrector robust estimation algorithm. The main contribution of this study is the proposed QR decomposition based on Givens rotation to solve the linear system. The simulated experiments used sensory data collected in Zürich-Switzerland and ground truth referencing attitude, velocity, and position. The offline simulation results express the effectiveness of the robust Kalman filter for this application, with a reduction of up to 18.9% in the estimation error, in relation to the standard Kalman filter. The proposal to use systolic arrays for numerical solutions has shown promise for implementation in parallel processing platforms, such as FPGAs.

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Multilayer CPW-Fed Patch Antenna on New AMC Ground Plane for 60 GHz Millimeter-Wave Communications

Multilayer CPW-Fed Patch Antenna on New AMC Ground Plane for...

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IEEE Vehicular Technology Conference

作者： Imad Ali Ronald Y. Chang Jenny Yi-Chun Liu Taiwan International Graduate Program in Social Networks and Human-Centered Computing Institute of Information Science Academia Sinica Research Center for Information Technology Innovation Academia Sinica Department of Electrical Engineering National Tsing Hua University

ISBN: (纸本)9781509016990

This paper presents a 60 GHz CPW-fed patch antenna on multilayer LTCC- and LCP-based materials with new and compact AMC. The proposed antenna structure consists of top three layers of antenna and bottom three layers of AMC ground plane. First, a new and compact three-layer AMC is designed on both LTCC- and LCP-based substrates. The designed AMC is more compact and provides 37.5% higher in-phase bandwidth as compared to a state-of-the-art design. Then, a three-layer CPW-fed patch antenna is designed and optimized on LTCC- and LCP-based substrates on top of the three-layer AMC ground plane of the same material. We perform a gain-bandwidth comparative study of antennas on multilayer LTCC- and LCP-based substrates with AMC/PEC ground planes for 60 GHz. We observe that antennas on LCP-based substrate outperform those on LTCC-based substrate in terms of input impedance, bandwidth, and gains on both AMC and PEC ground planes, while antennas on LTCC-based substrate have smaller antenna and AMC dimensions.

关键词： AMCN gene antecedent moisture condition (amc) Patch antennas ANTENNA Ground plane Planing antennae impedance Substrates plane

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Learning-Based Fast VVC Affine Motion Estimation

Learning-Based Fast VVC Affine Motion Estimation

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Fernando Sagrilo Marta Loose Ramiro Viana Gustavo Sanchez Guilherme Corrêa Luciano Agostini Graduate Program in Electrical Engineering (PPGEE) UNIPAMPA Alegrete RS Brazil Federal Institute of Farroupilha (IFFar) Jaguari Brazil Graduate Program in Computing (PPGC) UFPel Pelotas RS Brazil Video Technology Research Group (ViTech) UFPel Pelotas RS Brazil Federal Institute of Sertão Pernambucano (IFSertaoPE) Salgueiro PE Brazil

This paper presents a fast Affine Motion Estimation (AME) of Versatile Video Coding (VVC) Standard, based on Machine Learning and using Random Forest (RF) classification method. This encoding approach develops an RF model for each block size. The models were trained with information extracted during the VVC encoding process of the current, parent, and neighboring Coding Units (CU). Each model is applied to predict whether the Affine Motion Estimation (AME) will be skipped or not for that CU size. The proposed solution achieves a reduction of 20% on average in AME encoding time, with an insignificant impact of 0.07% on BD-BR.

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Deep Learning Approach to Modeling and Exploring Random Sources of Gate-All-Around Silicon Nanosheet MOSFETs

Deep Learning Approach to Modeling and Exploring Random Sour...

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2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang-Ming Chiao Tung University Parallel and Scientific Computing Laboratory Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Electrical Engineering and Computer Science International Graduate Program Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Institute of Communications Engineering Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Department of Electrical Engineering and Computer Engineering Hsinchu300 Taiwan National Yang-Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300 Taiwan Center for mmWave Smart Radar System and Technologies National Yang-Ming Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu300 Taiwan

ISBN: (纸本)9781665409230

In this paper, for the first time, deep learning (DL) based artificial neural network (ANN) is applied to model the effects of various random variations: work function fluctuation, random dopant fluctuation, and interface trap fluctuation, on gate-all-around silicon nanosheet MOSFETs. The number of fluctuations for each source variation is used as input features and their effects on devices of interest are studied qualitatively and quantitatively. The key figures of merit (FoM) are also extracted accurately from the transfer characteristics, which shows the competency of the ANN model in the domain of device modeling. © 2022 IEEE.

关键词： Nanosheets

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BEM: A Framework based on Business Intelligence, Quality of Experience, and Car Park Management

BEM: A Framework based on Business Intelligence, Quality of ...

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International Conference on Systems, Signals and Image Processing, IWSSIP

作者： Adriel Santos Araujo Bruno Câmara Flavio Docek Lucas Gaspar Yona Lopes Computing Institute Universidade Federal Fluminense (UFF) Niterói Brazil Computer Engineering Instituto INFNET Rio de Janeiro Brazil Electrical and Telecommunication Engineer Graduate Program Universidade Federal Fluminense (UFF) Niterói Brazil

The following topics are dealt with: learning (artificial intelligence); medical image processing; feature extraction; image classification; convolutional neural nets; image segmentation; neural nets; cancer; diseases... 详细信息

ISBN: (数字)9781728175393

ISBN: (纸本)9781728175409

关键词： Automobiles Business intelligence Smart cities Cameras Quality of experience Sensors Servers

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An adaptable mobile robot platform with vision-based perception for precision agriculture

An adaptable mobile robot platform with vision-based percept...

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IEEE Latin American Robotics Symposium, LARS

作者： Hugo Oliveira Arthur Vangasse Lívia Soares Andressa Oliveira Bruno Ferreira Glauber Leite Ícaro Araújo Davi Brito Institute of Computing Universidade Federal de Alagoas Maceió Brazil Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil EDGE Innovation Center Universidade Federal de Alagoas Maceió Brazil

This paper presents the development of a versatile mobile robot platform designed for precision agriculture. The robot’s proposed overview architecture and its manufacturing are presented while it further discusses the incorporated vision-based perception modules for road segmentation in farm environments and maize stem detection. For road segmentation, the Segment Anything Model (SAM) based on Zero-Shot Segmentation was utilized. The SAM algorithm effectively extracted navigable spaces in challenging scenarios, demonstrating its robustness and adaptability. Furthermore, considerations were made for computational efficiency, motivating future implementation on low-power devices. In the maize stem detection module, a comprehensive dataset of maize stem images obtained from a local agricultural field was created. The images were processed using the YOLOv5 model, resulting in a highly accurate and efficient maize stem detection module. The validation of both perception modules highlights the successful integration of vision-based technologies into the platform. The platform’s adaptability and robustness make it a valuable tool for precision agriculture applications. By leveraging these technologies, the proposed vehicle contributes to improving crop monitoring and management, enhancing overall agricultural practices.

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Broadband Beamforming via Frequency Invariance Transformation and PARAFAC Decomposition for Jamming Mitigation in V2X Scenarios

Broadband Beamforming via Frequency Invariance Transformatio...

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IEEE Conference on Vehicular Technology (VTC)

作者： Daniel V. de Lima João Paulo J. da Costa Antonio Arlis S. da Silva Giovanni A. Santos José Alfredo R. Vargas Auzuir R. de Alexandria Postgraduate Program in Telecommunications Engineering (PPGET) IFCE Fortaleza Brazil Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Gennany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil Department of Electrical Engineering UnB Brasilia Brazil

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Vehicle-to-Everything (V2X) communication can considerably improve the efficiency and safety of autonomous driving and advanced driver-assistance systems (ADASs). However, V2X communication can be considerably degraded in the presence of cyberattacks, such as radio jamming. Traditionally, beamforming techniques can be applied to increase the signal-to-interference plus noise ratio (SINR). This paper evaluates broadband beamforming in the mmWave spectrum against radio jamming in V2X communication. The exploitation of the mm Wave spectrum in 5G-V2X communication has a natural advantage against radio jamming. First, attenuation is stronger in the mmWave spectrum in the range of 40 GHz or higher than in the traditional 5.9 GHz. Second, to generate broadband radio jamming, the radio jammer requires much more complex hardware and energy consumption. Third, by using broadband beamforming, broadband radio jamming can be considerably attenuated, limiting the degradation of the spectrum by the radio jamming. According to our numerical results, gains of close to 30 dB SINR can be achieved. We propose a broad-band beamforming technique based on the canonical polyadic decomposition via generalized eigenvalue decomposition (CPD-GEVD). The CPD-GEVD broadband beamforming outperforms state-of-the-art beamforming algorithms in most V2X scenarios presented in this paper.

关键词： Vehicular and wireless technologies Array signal processing Interference Attenuation Broadband communication Jamming Millimeter wave communication

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