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IEEE National Conference on Radar

作者： William C. Barott Braham Himed Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach FL Wright-Patterson Air Force Base Air Force Research Laboratory Dayton OH

ISBN: (纸本)9781479982332

This paper presents results of a simulation study quantifying the expected importance of cochannel interference (CCI) in a passive radar using Advanced Television systems Committee (ATSC) illuminators. CCI stations broadcasting on the same frequency as the illuminator are modeled as additional direct path interference. It is found that spatial nulls alone can be insufficient to suppress CCI in small airborne radars, which might observe up to 10 significant CCIs for each illuminator. A proposed hybrid algorithm uses remodulation to suppress the strongest CCI and nulls only CCI that cannot be decoded. This method improves predicted coverage as compared to nulls alone.

关键词： Receivers Interference Signal to noise ratio Digital TV Atmospheric modeling Transmitters

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Prototype-based classifier learning for long-tailed visual recognition

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Science China(information Sciences) 2022年第6期65卷 62-76页

作者： Xiu-Shen WEI Shu-Lin XU Hao CHEN Liang XIAO Yuxin PENG School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Integrated Services Networks Xidian University Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security Wangxuan Institute of Computer Technology Peking University

In this paper, we tackle the long-tailed visual recognition problem from the categorical prototype perspective by proposing a prototype-based classifier learning(PCL) method. Specifically, thanks to the generalization ability and robustness, categorical prototypes reveal their advantages of representing the category semantics. Coupled with their class-balance characteristic, categorical prototypes also show potential for handling data imbalance. In our PCL, we propose to generate the categorical classifiers based on the prototypes by performing a learnable mapping function. To further alleviate the impact of imbalance on classifier generation, two kinds of classifier calibration approaches are designed from both prototype-level and example-level aspects. Extensive experiments on five benchmark datasets, including the large-scale iNaturalist, Places-LT,and ImageNet-LT, justify that the proposed PCL can outperform state-of-the-arts. Furthermore, validation experiments can demonstrate the effectiveness of tailored designs in PCL for long-tailed problems.

关键词： long-tailed distribution categorical prototype classifier generation classifier calibration class imbalance

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Unbundling the significance of cognitive robots and drones deployed to tackle COVID-19 pandemic: A rapid review to unpack emerging opportunities to improve healthcare in sub-Saharan Africa

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Cognitive Robotics 2021年 1卷 205-213页

作者： Mbunge, Elliot Chitungo, Itai Dzinamarira, Tafadzwa Department of Computer Science Faculty of Science and Engineering University of Eswatini Kwaluseni Manzini Swaziland Department of Information Technology Faculty of Accounting and Informatics Durban University of Technology P O Box 1334 Durban4000 South Africa Department of Laboratory Diagnostic and Investigative Sciences Faculty of Medicine and Health Sciences University of Zimbabwe Harare Zimbabwe ICAP at Columbia University Kigali Rwanda School of Health Systems & Public Health University of Pretoria Pretoria0002 South Africa

The emergence of COVID-19 brought unprecedented opportunities to deploy emerging digital technologies such as robotics and drones to provide contactless services. Robots and drones transformed initial approaches to tackle COVID-19 and have proven to be effective in curbing the risk of COVID-19 in developed countries. Despite the significant impact of robots and drones in reducing the burden of frontline healthcare professionals, there is still limited literature on their utilization to fight the pandemic in sub-Saharan Africa. Therefore, this rapid review provides significant capabilities of robots and drones while introspecting at the challenges and barriers that may hinder their implementation in developing countries. The study revealed that robots and drones have been used for disinfection, delivery of medical supplies, surveillance, consultation and screening and diagnosis. The study revealed that adopting robots and drones face challenges such as infrastructural, financial, technological barriers, security and privacy issues, lack of policies and frameworks regulating the use of robots and drones in healthcare. We, therefore, propose a collaborative approach to mobilise resources and invest in infrastructure to bridge the digital divide, craft policies and frameworks for effectively integrating robots and drones in healthcare. There is a need to include robotics in the medical education and training of health workers and develop indigenous knowledge and encourage international collaboration. Partnership with civil aviation authorities to license and monitor drones to improve monitoring and security of drone activities could also be helpful. Robots and drones should guarantee superior safety features since it either directly interacts with human or works in a densely populated environment. However, future work should focus on the long term consequences of robots and drones on human behavior and interaction as well as in healthcare. © 2021

关键词： COVID-19

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Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing

Multiobjective Evaluation and Optimization of CMT-bone on In...

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International Green Computing Conference

作者： Mohamed Gadou Tania Banerjee Meena Arunachalam Galen Shipman Sanjay Ranka Department of Computer Information Science and Engineering University of Florida Gainesville FL Software and Service Group Intel Corporation Portland USA Los Alamos National Laboratory New Mexico USA

ISBN: (纸本)9781538674673

CMT-bone is a proxy-app for simulating compressible multiphase turbulence. The application uses discretization and numerical methods for solving partial differential equations. Hence, the application is compute intensive as well as memory intensive. Intel Knights landing (KNL) is the second generation MIC architecture from Intel. It delivers massive thread parallelism, data parallelism, and memory bandwidth in a CPU form factor. In this paper, we use Intel KNL to get a performance speedup of 1.8x in CMT-bone after applying different optimization techniques for Intel KNL.

关键词： Instruction sets Bandwidth Data structures Optimization Parallel processing Layout

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P2PAV: Anti-virus through P2P

P2PAV: Anti-virus through P2P

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IEEE Symposium on Robotics and Applications (ISRA)

作者： Li Zhang Zhao Wang Zhong Chen China Information Technology Security Evaluation Center Beijing China Institute of Software School of Electronics Engineering and Computer Science Peking University Key laboratory of High Confidence Software Technologies Ministry of Education Peking University Beijing China

Antivirus software is one of the most widely installed software for protecting computer from malicious attacks. However, traditional host-based antivirus needs to store all viruses' pattern or sample, which not only needs large local storage, but also fails to detect modern threats in time. The newly come cloud-based antivirus, which needs no extra local storage and compares virus' pattern on provider's cloud servers, has the disadvantages of being more likely to be attacked when offline. This paper advocates P2PAV, a new model for malware detection through P2P network, which takes advantages of traditional ones and cloud antivirus, reduces local storage, and meanwhile, improves the ability of detecting modern virus than traditional ways, and combating virus when offline than cloud-based antivirus.

关键词： Cloud computing Engines Databases Malware

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Site planning and illuminator variability for DTV-based passive radar

Site planning and illuminator variability for DTV-based pass...

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IEEE National Conference on Radar

作者： Kevin M. Scott Ted R. Dabrowski William C. Barott Braham Himed Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach FL Air Force Research Laboratory Wright Patterson Air Force Base Dayton OH

ISBN: (纸本)9781509008643

This paper compares results of a simulation study and experimental measurement campaign designed to evaluate the performance of a DTV-based passive radar. The simulations considered a tower-mounted receiver in Springfield, Ohio, and predicted the accuracy of localizing airborne targets using the illuminations of regional transmitters. The predicted coverage area was found to vary with the selection of the propagation loss model used by the simulator. Supporting experiments at the site did not favor any particular model, but showed 10 dB variations in both the direct path and clutter over several hours. These results illustrate the need to accurately model tropospheric radio propagation in passive radar performance predictions.

关键词： Radio transmitters Passive radar Antenna arrays Predictive models Atmospheric modeling

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Structural reduction of CRNs with linear sub-CRNs

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IFAC-PapersOnLine 2021年第14期54卷 149-154页

作者： Katalin M. Hangos György Lipták Gábor Szederkényi Systems and Control Laboratory Computer and Automation Research Institute P.O. Box 63 H-1518 Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary Faculty of Information Technology and Bionics Péter Pázmány Catholic University Budapest Hungary

A novel systems theory-based structural reduction method is proposed in this paper that can be applied to chemical reaction networks (CRNs) including subsystems consisting of linear reactions, i.e. a linear sub-CRN. The reduced model is a delayed CRN with distributed delays having less complexes (monomials) and reactions than the original model. The reduction is based on the fact that the input/output response of a linear sub-CNR can be seen as a time-delayed input to output relationship, therefore linear sub-CNRs can be interpreted as reactions with distributed delay from their input to their output complexes. The practically important example of a kinetic model describing the spread of the COVID-19 epidemic is used as a case study to illustrate the basic concepts and the computation method.

关键词： Delay Model reduction Chemical Reaction Networks COVID

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SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social Media

SENTI2POP: Sentiment-Aware Topic Popularity Prediction on So...

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IEEE International Conference on Data Mining (ICDM)

作者： Jinning Li Yirui Gao Xiaofeng Gao Yan Shi Guihai Chen Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China Department of Computer Science and Software Engineering University of Wisconsin Platteville Platteville United States

Topic popularity prediction is an important task on social media, which aims at predicting the ongoing trends of topics according to logged historical text-based records. However, only limited existing approaches apply sentiment analysis to facilitate popularity prediction. Public sentiment is worth taking into consideration because the topics with strong sentiment tend to spread faster and broader on social media. In this paper, we propose a novel framework, SENTI2POP, to predict topic popularity utilizing sentiment information. We first adapt a state-of-art popularity quantification method to capture the topic popularity, and then design a novel tree-like network (Tree-Net) combining Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) for sentiment analysis. In addition, we propose a sentiment-aware time series prediction approach based on Dynamic Time Warping (DTW) and Autoregressive Integrated Moving Average model (ARIMA) to predict topic popularity. We prove by experiments that SENTI2POP outperforms the existing popularity prediction models on a real-world Twitter dataset by reducing the prediction error. Experimental results also show that SENTI2POP could be applied to improve the accuracy of most non-sentiment popularity prediction models.

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Event-based motion coordination of multiple underwater vehicles under disturbances

Event-based motion coordination of multiple underwater vehic...

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OCEANS - Europe

作者： Pedro V. Teixeira Dimos V. Dimarogonas Karl H. Johansson João Sousa Underwater Systems and Technologies Laboratory Electrical and Computer Engineering Department Faculty of Engineering University of Porta Porto Portugal Laboratory of Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA KTH ACCESS Linnaeus Center School of Electrical Engineering Royal Institute of Technology Stockholm Sweden

The problem of driving a formation from an initial to a target configuration while under the effect of external disturbances is studied. Additional restrictions on agent sensing as well as inter-agent communication must be satisfied. We present a leader-follower solution that relies on a simple uncertainty model to trigger surfacing events. These events are then used to update the control signal, for which two different, provably correct, control strategies are proposed. Finally, we show how the surfacing events can be used to characterize the disturbance set. Numerical examples on relevant scenarios are also provided.

关键词： Uncertainty Lead Trajectory Upper bound Position measurement Vehicles Ellipsoids

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Hardware support for efficient testing of embedded software

Hardware support for efficient testing of embedded software

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ASME 2011 International Design engineering Technical Conferences and computers and information in engineering Conference, IDETC/CIE 2011

作者： Reinbacher, Thomas Müller, Tobias Horauer, Martin Brauer, Jörg Kowalewski, Stefan Andreas Steininger ECS Group Inst. of Computer Engineering Vienna University of Technology Treitlstr. 3 1040 Vienna Austria Dept. of Embedded Systems Univ. of Applied Sciences Technikum Wien Hochstadtpl. 5 1200 Vienna Austria Embedded Software Laboratory RWTH Aachen University Ahornstr. 55 52074 Aachen Germany

ISBN: (纸本)9780791854808

Verification of software for embedded systems is crucial for ensuring a product's integrity. Formal approaches like static analysis and model checking are gaining momentum in this context. To make an exhaustive examination of the system's state space tractable in practice, these methods perform an abstraction and over-approximation of the possible behavior. As a side-effect, however, this leads to "false negatives" - property violations that exist only in the model and not on the real system. Ruling out such spurious property violations by manual valuation is a tedious and error-prone process. This paper reports on the concepts and design of a hardware unit to support the identification of false negatives. Our approach has several advantages: (i) It works on microcontroller binary code, thus avoiding the need for availability of high-level source code, and covering compiler bugs as well. (ii) Moving the verification directly to the target platform rules out modeling errors. (iii) The cases suspected to lead to spurious property violations can serve as very efficient test cases for a specific implementation later on. We illustrate principle and benefits of the proposed approach by a worked example. © 2011 by ASME.

关键词： Model checking

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