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IEEE International Conference on Image Processing

作者： Sara McArdle Scott T. Acton Klaus Ley Nilanjan Ray La Jolla Institute for Allergy & Immunology Electrical & Computer Engineering and Biomedical Engineering University of Virginia Department of Computing Science University of Alberta

ISBN: (纸本)9781479957521

Registration of in vivo microscopy image sequences is important for tracking of cells. Registering a long sequence of in vivo microscopy images is particularly challenging for several reasons, which include motion artifacts created by the cardiac cycle and breathing movements of the living subject, occasional defocussing, illumination change, and noise in image acquisition. To accommodate these variations, we sample time points redundantly during microscopic image acquisition. Second, we use dynamic programming to select image frames with tolerable motion and eliminate those with large motion. Third, we employ a novel method based on the minimum spanning tree algorithm to register the selected image frames. Testing on actual in vivo image sequences reveals that our approach excels over three existing registration methods in terms of structural image similarity of the registered images.

关键词： Image sequence registration Dynamic programming Minimum spanning tree In vivo microscopy

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Optimal scheduling of single-arm multi-cluster tools with two-space buffering modules

Optimal scheduling of single-arm multi-cluster tools with tw...

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2014 IEEE International Conference on Automation science and engineering, CASE 2014

作者： Yang, Fajun Wu, Naiqi Qiao, Yan Zhou, Mengchu Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou510006 China Institute of Systems Engineering Macau University of Science and Technology China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

A multi-cluster tool is composed of a number of single-cluster tools linked by buffering modules. The capacity of a buffering module can be one or two. Aiming at finding an optimal one-wafer cyclic schedule, this work explores the effect of two-space buffering modules on the performance of a multi-cluster tool. The tool is modeled by a kind of Petri nets. The dynamic behavior of robot waiting and tasks, process modules, and buffers is well captured by the net model. With the model, this work shows that there is always a one-wafer cyclic schedule that reaches the lower bound of the cycle time of a process-dominant tool. Furthermore, a constant-time algorithm is revealed to find such a schedule for the first time for such multi-cluster tools. An illustrative example is given to show the application and power of this new method. © 2014 IEEE.

关键词： Petri nets

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Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees

Registering sequences of in vivo microscopy images for cell ...

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作者： McArdle, Sara Acton, Scott T. Ley, Klaus Ray, Nilanjan La Jolla Institute for Allergy and Immunology San DiegoCA United States Electrical and Computer Engineering and Biomedical Engineering University of Virginia CharlottesvilleVA United States Department of Computing Science University of Alberta EdmontonAB Canada Department of Bioengineering University of California San Diego San DiegoCA United States

ISBN: (纸本)9781479957514

关键词： Dynamic programming

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Principal Component Analysis Anomaly Detector for Rotor Broken Bars

Principal Component Analysis Anomaly Detector for Rotor Brok...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Mohammed Obaid Mustafa George Georgoulas George Nikolakopoulos Control Engineering Group Department of Computer Science Electrical and Space Engineering Lulea University of Technology Laboratory of Knowledge and Intelligent Computing (KIC) Department of Computer Engineering Technological Educational Institute of Epirus

ISBN: (纸本)9781479940318

In this article a method for the detection of broken rotor bars in asynchronous machines operating under full load is presented. Unlike most Motor Current Signature Analysis (MCSA) approaches, which operate in the frequency domain, our method operates in the time domain. The scheme is based on the use of a Principal Component Analysis (PCA) fault/anomaly detector. PCA is applied on the three stator currents to subsequently calculate the Q statistic which is employed for detecting the presence/absence of a fault. The efficiency of the proposed scheme was experimentally evaluated using different fault severity levels, ranging from 1/4 of a broken bar to three broken bars. The obtained results indicate that the method can detect the caused asymmetry with a very restricted amount of data.

关键词： Principal component analysis Rotors Bars Induction motors Detectors Stators Fault detection

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Slime mould analogue models of space exploration and planet colonisation

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JBIS - Journal of the British Interplanetary Society 2014年第7期67卷 290-304页

作者： Adamatzky, Andrew Armstrong, Rachel De Lacy Costello, Ben Deng, Yong Jones, Jeff Mayne, Richard Schubert, Theresa Sirakoulis, Georgios Ch. Zhang, Xiaoge Unconventional Computing Centre University of the West of England Bristol United Kingdom School of Architecture Planning and Landscape The Quadrangle Newcastle University Newcastle upon TyneNE1 7RU United Kingdom Institute of Biosensing Technology University of the West of England Bristol United Kingdom Department of Design of Media Environments Bauhaus University Weimar Germany School of Computer and Information Science Southwest University Chongqing China Department of Electrical and Computer Engineering Democritus University of Thrace Greece

Slime mould Physarum polycephalum is a single cell that is visible by the unaided eye. When spanning sources of nutrients the slime mould builds a network of protoplasmic tubes which is sometimes considered to be optimal in terms of the minimization of metabolite transportation time and distance away from repellents. Previously we have shown that the slime mould is efficient in imitating the formation of man-made road networks in major countries, where major urban areas are sources of nutrients. We used a similar approach to grow slime mould on a three-dimensional template of the Moon to speculate on potential colonisation scenarios. The slime mould imitated the propagation of colonisation in an exploratory mode, i.e. without any definite targets. Additional transportation hubs/targets were added after the initial network was formed, to imitate the development of colonies in parallel with slime mould growth. We provide analyses of proximity graphs representing colonisation networks and support the findings with Physarum-inspired algorithms to inform supply chain design. We speculate on how living Physarum, or its incorporation into a polymer hybrid material, can be used as a wearable smart wetware based on laboratory experiments interacting with chemical components.

关键词： Nutrients

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A New Class of Learning Automata for Selecting an Optimal Subset

A New Class of Learning Automata for Selecting an Optimal Su...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： JunQi Zhang ZeZhou Li Qi Kang MengChu Zhou Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Computer Science and Technology Tongji University Department of Control Science and Engineering Tongji University Department of Electrical and Computer Engineering New Jersy Institute of Technology

ISBN: (纸本)9781479938414

Interacting with a random environment, Learning Automata (LAs) are automata that, generally, have the task of learning the optimal action based on responses from the environment. Distinct from the traditional goal of Learning Automata to select only the optimal action out of a set of actions, this paper considers a multiple-action selection problem and proposes a novel class of Learning Automata for selecting an optimal subset of actions. Their objective is to identify the optimal subset: the top k out of r actions. Based on conventional continuous pursuit and discretized pursuit learning schemes, this paper introduces four pursuit learning schemes for selecting the optimal subset, called continuous equal pursuit, discretized equal pursuit, continuous unequal pursuit and discretized unequal pursuit learning schemes, respectively. In conjunction with a reward-inaction learning paradigm, the above four schemes lead to four versions of pursuit Learning Automata for selecting the optimal subset. The simulation results present a quantitative comparison between them.

关键词： Learning Automata Optimal subset Pursuit algorithm

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Radio frequency fingerprinting and its challenges

Radio frequency fingerprinting and its challenges

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IEEE Conference on Communications and Network Security (CNS)

作者： Saeed Ur Rehman Kevin W. Sowerby Shafiq Alam Iman Ardekani Department of Computing Unitec Institute of Technology Auckland New Zealand Department of Electrical and Computer Engineering The University of Auckland New Zealand Department of Computer Science The University of Auckland New Zealand

RF fingerprinting aims to develop a unique RF fingerprint for a wireless device that can be used as an identity, in the same way a biological fingerprint operates, to improve the security and privacy of wireless communication. This is in contrast to the traditional bit-level algorithmic approaches to securing transmissions. In this work, we present a comprehensive overview of challenges in the deployment of RF fingerprinting in low-cost portable mobile devices including: the preliminary results showing the effect of channel impairments on RF fingerprinting accuracy and open research challenges associated with the deployment of RF fingerprinting.

关键词： Radio frequency Fading Receivers Wireless communication Radio transmitters Performance evaluation

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Portability of an RF fingerprint of a wireless transmitter

Portability of an RF fingerprint of a wireless transmitter

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IEEE Conference on Communications and Network Security (CNS)

作者： Saeed Ur Rehman Kevin W. Sowerby Shafiq Alam Iman Ardekani Department of Computing Unitec Institute of Technology Auckland New Zealand Department of Electrical and Computer Engineering University of Auckland New Zealand Department of Computer Science University of Auckland New Zealand

In conventional wireless networks, security issues are primarily considered above the physical layer and are usually based on bit-level algorithms to establish the identity of a legitimate wireless device. Physical layer security is a new paradigm in which features extracted from an analog signal can be used to establish the unique identity of a transmitter. Our previous research work into RF fingerprinting has shown that every transmitter has a unique RF fingerprint owing to imperfections in the analog components present in the RF front end. Generally, it is believed that the RF fingerprint of a specific transmitter is same across all receivers. That is, a fingerprint created in one receiver can be transported to another receiver to establish the identity of a transmitter. However, to the best of the author's knowledge, no such example is available in the literature in which an RF fingerprint generated in one receiver is used for identification in other receivers. This paper presents the results of experiments, and analyzing the feasibility of using an universal RF fingerprint of a transmitter for identification across different receivers.

关键词： Receivers Radio frequency Ad hoc networks Wireless communication Communication system security Radio transmitters

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Measuring phase derivatives in digital holographic interferometry

Measuring phase derivatives in digital holographic interfero...

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Digital Holography and Three-Dimensional Imaging, DH 2014

作者： Rajshekhar, Gannavarpu Rastogi, Pramod Quantitative Light Imaging Laboratory Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana-61801 IL United States Applied Computing and Mechanics Laboratory Ecole Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland

We discuss pseudo Wigner-Ville distribution based phase derivative estimation techniques in digital holographic interferometry. These techniques address the major challenges associated with measuring phase derivatives... 详细信息

ISBN: (纸本)9781557523082

关键词： Wigner-Ville distribution

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FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOTH QUALITATIVE KNOWLEDGE AND QUANTITATIVE data

FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOT...

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IEEE International Conference on Multimedia and Expo Workshops

作者： Zhen Gao Shangfei Wang Chongliang Wu Jun Wang Qiang Ji Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)9781479947164

In this paper, we propose to capture Action Unit (AU) relations existing in both qualitative knowledge and quantitative data through Credal Networks (CN). Each node of the CN represents an AU label, and the links and probability intervals capture the probabilistic dependencies among multiple AUs. The structure of CN is designed based on prior knowledge. The parameters of CN are learned from both knowledge and ground-truth AU labels. The AU preliminary estimations are obtained by an existing image-driven recognition method. With the learned credal network, we infer the true AU labels by combining the relationships among labels with the previous obtained estimations. Experimental results on the CK+ database and MMI database demonstrate that with complete AU labels, our CN model is slightly better than the Bayesian Network (BN) model, demonstrating that credal sets learned from data can capture uncertainty more reliably;With incomplete and error-prone AU annotations, our CN model outperforms the BN model, indicating that credal sets can successfully capture qualitative knowledge.

关键词： Prior knowledge Credal network AU recognition

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