检索结果-内蒙古大学图书馆

Stealthy malware traffic - not as innocent as it looks

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Zhong, Xingsi Fu, Yu Yu, Lu Brooks, Richard Kumar Venayagamoorthy, G. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

Malware is constantly evolving. Although existing countermeasures have success in malware detection, corresponding counter-countermeasures are always emerging. In this study, a counter-countermeasure that avoids network-based detection approaches by camouflaging malicious traffic as an innocuous protocol is presented. The approach includes two steps: Traffic format transformation and side-channel massage (SCM). Format-transforming encryption (FTE) translates protocol syntax to mimic another innocuous protocol while SCM obscures traffic side-channels. The proposed approach is illustrated by transforming Zeus botnet (Zbot) Command and Control (C&C) traffic into smart grid Phasor Measurement Unit (PMU) data. The experimental results show that the transformed traffic is identified by Wireshark as synchrophasor protocol, and the transformed protocol fools current side-channel attacks. Moreover, it is shown that a real smart grid Phasor Data Concentrator (PDC) accepts the false PMU data. Copyright © 2017, The Authors. All rights reserved.

关键词： Phasor measurement units

Transformative role of photovoltaics in phasing out alternating current based grid by local DC power networks for sustainable global economic growth 44

学校读者我要写书评

暂无评论

Transformative role of photovoltaics in phasing out alternat...

44th IEEE Photovoltaic Specialist Conference, PVSC 2017

作者： Singh, Rajendra Asif, Amir A. Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781509056057

For sustainable global economic growth, eradication of global energy poverty and addressing climate challenges, free fuel based solar and wind energy sources are the only viable solution for electricity generation. Due to inherent advantages, photovoltaics has emerged as the major source of electrical power. Local generation of direct current (DC) power by PV and the use of batteries for storing DC electrical power have the potential of transforming global electricity infrastructure to address the problems faced by alternating current (AC) based centralized power generation and long haul transmission and distribution. © 2017 IEEE.

关键词： Electric power transmission networks

Molybdenum Disulfide: Scalable Fabrication of Molybdenum Disulfide Nanostructures and their Assembly (Adv. Mater. 43/2020)

学校读者我要写书评

暂无评论

Advanced Materials 2020年第43期32卷

作者： Yun Huang Kang Yu Huaizhi Li Kai Xu Zexi Liang Debora Walker Paulo Ferreira Peer Fischer Donglei (Emma) Fan Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA The Department of Advanced Electron Microscopy Imaging and Spectroscopy International Iberian Nanotechnology Laboratory Braga 4715‐330 Portugal Electrical and Computer Engineering University of Illinois at Urbana‐Champaign Urbana IL 61801 USA School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 USA Mechanical Engineering Department and IDMEC Instituto Superior Técnico University of Lisbon Av. Rovisco Pais Lisboa 1049‐001 Portugal Max‐Planck‐Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart 70569 Germany Institute of Physical Chemistry University of Stuttgart Pfaffenwaldring 55 Stuttgart 70569 Germany Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 USA

Trust Consensus Protocol for Heterogeneous Underwater Robotic systems

学校读者我要写书评

暂无评论

Trust Consensus Protocol for Heterogeneous Underwater Roboti...

作者： Mazdin, Petra Arbanas, Barbara Haus, Tomislav Bogdan, Stjepan Petrovic, Tamara Miskovic, Nikola University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Croatia University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Underwater Systems and Technologies Croatia

In this paper we analyze the application of a binary trust-consensus protocol in multi-agent systems with switching communication topology. Trust represents belief of one agent that the other one is capable of executing a specific task. The approach is motivated by an underwater robot system in which robots, called aMussels, are dispersed in the environment and measure environmental properties (for example sea-current) over a longer period of time, with sensors which are prone to failures. The goal is to apply the binary trust-consensus protocol to enable the system to autonomously detect failures of aMussels. Since direct communication between aMussels is energy consuming, a new type of moving robot, called aFish, is introduced that serves as a carrier of information. Since aFish have a limited communication range, communication topology is switching. Simulations are run first in Matlab for a homogeneous system, and then in a realistic simulation environment for the described scenario with heterogeneous agents. Results show that the protocol converges to the correct trust values and that the convergence time depends on the connectivity of the communication graph. © 2016

关键词： Multi agent systems

Magnetic-visual sensor fusion based medical SLAM for endoscopic capsule robot

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Turan, Mehmet Almalioglu, Yasin Gilbert, Hunter Araujo, Helder Konukoglu, Ender Sitti, Metin Max Planck Institute for Intelligent Systems Stuttgart Germany Computer Vision Laboratory Eth Zurich Computer Engineering Department Bogazici University Louisiana State University Baton RougeLA United States Robotics Laboratory University of Coimbra

A reliable, real-time simultaneous localization and mapping (SLAM) method is crucial for the navigation of actively controlled capsule endoscopy robots. These robots are an emerging, minimally invasive diagnostic and therapeutic technology for use in the gastrointestinal (GI) tract. In this study, we propose a dense, non-rigidly deformable, and real-time map fusion approach for actively controlled endoscopic capsule robot applications. The method combines magnetic and vision based localization, and makes use of frame-to-model fusion and model-to-model loop closure. The performance of the method is demonstrated using an ex-vivo porcine stomach model. Across four trajectories of varying speed and complexity, and across three cameras, the root mean square localization errors range from 0.42 to 1.92 cm, and the root mean square surface reconstruction errors range from 1.23 to 2.39 cm. Copyright © 2017, The Authors. All rights reserved.

关键词： Magnetism

A deep learning based 6 degree-of-freedom localization method for endoscopic capsule robots

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Turan, Mehmet Almalioglu, Yasin Konukoglu, Ender Sitti, Metin Physical Intelligence Department Max Planck Institute for Intelligent Systems Stuttgart Germany Computer Engineering Department Bogazici Univesity Computer Vision Laboratory Department of Information Technology and Electrical Engineering ETH Zurich

We present a robust deep learning based 6 degrees-of-freedom (DoF) localization system for endoscopic capsule robots. Our system mainly focuses on localization of endoscopic capsule robots inside the GI tract using only visual information captured by a mono camera integrated to the robot. The proposed system is a 23-layer deep convolutional neural network (CNN) that is capable to esti-mate the pose of the robot in real time using a standard CPU. The dataset for the evaluation of the system was recorded inside a surgical human stomach model with realistic surface texture, softness, and surface liquid properties so that the pre-trained CNN architecture can be transferred con fidently into a real endoscopic scenario. An average error of 7:1% and 3:4% for translation and rotation has been obtained, respectively. The results accomplished from the ex-periments demonstrate that a CNN pre-trained with raw 2D endoscopic images performs accurately inside the GI tract and is robust to various challenges posed by reection distortions, lens imperfections, vignetting, noise, motion blur, low resolution, and lack of unique landmarks to track. Copyright © 2017, The Authors. All rights reserved.

关键词： Endoscopy

Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Varatharajah, Yogatheesan Berry, Brent Cimbalnik, Jan Kremen, Vaclav van Gompel, Jamie Stead, Matt Brinkmann, Benjamin Iyer, Ravishankar Worrell, Gregory Electrical and Computer Engineering University of Illinois UrbanaIL61801 United States Mayo Systems Electrophysiology Laboratory Department of Neurology Mayo Clinic RochesterMN55905 United States Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6166 36 Czech Republic Department of Neurosurgery Mayo Clinic RochesterMN55905 United States Department of Physiology & Biomedical Engineering Mayo Clinic RochesterMN55905 United States

An ability to map seizure-generating brain tissue, i.e., the seizure onset zone (SOZ), without recording actual seizures could reduce the duration of invasive EEG monitoring for patients with drug-resistant epilepsy. A widely-adopted practice in the literature is to compare the incidence (events/time) of putative pathological electrophysiological biomarkers associated with epileptic brain tissue with the SOZ determined from spontaneous seizures recorded with intracranial EEG, primarily using a single biomarker. Clinical translation of the previous efforts suffers from their inability to generalize across multiple patients because of (a) the inter-patient variability and (b) the temporal variability in the epileptogenic activity. Here, we report an artificial intelligence-based approach for combining multiple interictal electrophysiological biomarkers and their temporal characteristics as a way of accounting for the above barriers and show that it can reliably identify seizure onset zones in a study cohort of 82 patients who underwent evaluation for drug-resistant epilepsy. Our investigation provides evidence that utilizing the complementary information provided by multiple electrophysiological biomarkers and their temporal characteristics can significantly improve the localization potential compared to previously published single-biomarker incidence-based approaches, resulting in an average area under ROC curve (AUC) value of 0.73 in a cohort of 82 patients. Our results also suggest that recording durations between ninety minutes and two hours are sufficient to localize SOZs with accuracies that may prove clinically relevant. The successful validation of our approach on a large cohort of 82 patients warrants future investigation on the feasibility of utilizing intra-operative EEG monitoring and artificial intelligence to localize epileptogenic brain tissue. Broadly, our study demonstrates the use of artificial intelligence coupled with careful feature engineering in

关键词： Support vector machines

Full body human motion estimation on lie groups using 3D marker position measurements 16

学校读者我要写书评

暂无评论

Full body human motion estimation on lie groups using 3D mar...

16th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2016

作者： Ćesić, Josip Joukov, Vladimir Petrović, Ivan Kulić, Dana University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Croatia University of Waterloo Department of Electrical and Computer Engineering Adaptive Systems Laboratory Canada

ISBN: (纸本)9781509047185

This paper proposes a new algorithm for full body human motion estimation using 3D marker position measurements. The joints are represented with Lie group members, including special orthogonal groups SO(2) and SO(3), and a special euclidean group SE(3). We employ the Lie Group Extended Kalman Filter (LG-EKF) for stochastic inference on groups, thus explicitly accounting for the non-euclidean geometry of the state space, and provide the derivation of the LG-EKF recursion for articulated motion estimation. We evaluate the performance of the proposed algorithm in both simulation and on real-world motion capture data, comparing it with the Euler angles based EKF. The results show that the proposed filter significantly outperforms the Euler angles based EKF, since it estimates human motion more accurately and is not affected by gimbal lock. © 2016 IEEE.

关键词： Extended Kalman filters

Adaptive droop control with self-adjusted virtual impedance for three-phase inverter under unbalanced conditions 50

学校读者我要写书评

暂无评论

Adaptive droop control with self-adjusted virtual impedance ...

50th IEEE International Symposium on Circuits and systems, ISCAS 2017

作者： Lu, Zelun Li, Wenxuan Li, Zhen Chen, Xi Lu, Herbert H. C. Dong, Ning Liu, Xiangdong School of Automation Key Laboratory for Intelligent Control and Decision on Complex Systems Beijing Institute of Technology BeijingI0008I China Global Energy Interconnection Research Institute North America Santa Clara 5451 Great America Parkway CA95054 United States School of Electrical Electrical and Computer Engineering University of Western Australia CrawleyWA6009 Australia

ISBN: (纸本)9781467368520

Three-phase inverter is a very important interface in microgrid. Droop control and virtual impedance are widely used to improve the power sharing capability and stability of such system, which however becomes ineffective under unbalanced conditions and may even cause potential stability problems. This paper proposes a fully self-adjusted virtual impedance design to guarantee the decoupling of active and reactive power. The arbitrary unbalanced information is acquired through the pseudo-inverse impedance matrix modeled by full-dq technique. Based on the unbalanced impedance identified, the adaptive droop control is achieved for not only accurate power sharing but also reliable voltage support with autonomous unbalanced voltage compensation. Simulations results verify the accurate identification of unbalanced impedance and effectiveness of the proposed method on the unbalanced compensation. © 2017 IEEE.

关键词： Electric inverters