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12th European Conference on Antennas and Propagation, EuCAP 2018

作者： Stumpf, Martin Vandenbosch, Guy A.E. Lager, Ioan E. SIX Research Centre Brno University of Technology Technická 3082/12 Brno616 00 Czech Republic Electrical Engineering Dpt. TELEMIC Katholieke Universiteit Leuven Kasteelpark Arenberg 10 bus 2444 LeuvenB-3001 Belgium Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands

ISBN: (纸本)9781785617911

Diffraction of pulsed electromagnetic (EM) waves in a slot excited Fabry Perót type resonator antenna is studied analytically in the modiÀed Kirchhoff approximation. Closed-form space-time expressions for the radiated EM Àelds are found using the Cagniard-DeHoop technique. Illustrative numerical examples are given. © 2018 Institution of engineering and *** Rights Reserved.

关键词： Diffraction

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OPTIMAL LOGIC SYNTHESIS OF COMBINATIONAL CIRCUITS USING K-LUT FPGA

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IFAC Proceedings Volumes 2007年第18期40卷 661-666页

作者： Ion I. Bucur Alexandru E. şuşu University Politehnica of Bucharest Computer Science and Engineering Dpt. bucurb@cs.pub.ro Swiss Federal Institute of Technology Lausanne (EPFL) IC/STI Department alex.susu@epfl.ch

Determining if a given arbitrary, wide function can be implemented by a programmable logic block, is unfortunately, in general, a very difficult problem, called the Boolean matching problem. We introduce a novel implemented algorithm able to map for performance combinational networks using k -LUT based FPGAs. We consider in this paper delay optimum and area optimal k-LUT FPGA mapping algorithms and compare them against a newly developed and recently improved algorithm.

关键词： k-LUT based FPGA algorithms for delay optimal mapping k-feasible cones

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BAYESIAN LOGISTIC REGRESSION WITH SPARSE GENERAL REPRESENTATION PRIOR FOR MULTISPECTRAL IMAGE CLASSIFICATION

BAYESIAN LOGISTIC REGRESSION WITH SPARSE GENERAL REPRESENTAT...

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IEEE International Conference on Image Processing

作者： Juan G. Serra Pablo Ruiz Rafael Molina Aggelos K. Katsaggelos Dpto. de Ciencia de la Computacion e I.A. Universidad de Granada Dpt. of Electrical Engineering and Computer Science Northwestern University

ISBN: (纸本)9781467399623

In this work we address the multispectral image classification problem from a Bayesian perspective. We develop an algorithm which utilizes the logistic regression function as the observation model in a probabilistic framework, Super-Gaussian (SG) priors which promote sparsity on the adaptive coefficients, and Variational inference to obtain estimates of all the model unknowns. The proposed algorithm is validated on both synthetic and real experiments and compared with other state-of-the-art methods, such as Support Vector Machine and Gaussian Processes, demonstrating its improved performance.

关键词： Image Classification Bayes Methods Inference Algorithms Image classification Bayes methods Inference algorithms Variational Inference MULTISPECTRAL Taxonomy Gaussian processes regression function images Support Vector Network

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Thermal Properties of Refractory SWCNT-Based Nanocomposites Investigated by Automated Approach

Thermal Properties of Refractory SWCNT-Based Nanocomposites ...

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International Conference on Modern Problems of Radio engineering, Telecommunications and computer science

作者： Illia Zhydenko Halyna Klym Ivan Karbovnyk Yuriy Kostiv Ivanna Vasylchyshyn Dmytro Chalyy Department of fire tactics and emergency rescue work Lviv State University of Life Safety Lviv Ukraine Specialized Computer Systems Dpt. Lviv Polytechnic National University Lviv Ukraine Radiophysics and Computer Technology Dpt. Ivan Franko National University of Lviv Lviv Ukraine Information Technology Security Dpt. Lviv Polytechnic National University Lviv Ukraine Department of Theoretical and General Electrical Engineering Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798331520564

ISBN: (纸本)9798331520571

Thermal properties of refractory nanocomposites with embedded single-walled carbon nanotubes were investigated using proposed automated approach. In this approach, differences in nanocomposites with varying parameters, observed under temperature differentials and thermal loads, are highlighted. These findings are crucial for their integration into sensor systems and for applications requiring enhanced fire resistance. The results indicate that nanocomposites with a nanotube dispersion time of 2 hours exhibit a peak temperature difference of 55 “C, while those with a 1-hour dispersion time show a maximum difference of 50 °C. A comparative analysis of heat transfer dynamics suggests that extending the dispersion time by 1 hour increases fire resistance by 15%.

关键词： Temperature sensors Temperature distribution Nanocomposites Thermal resistance Sensor systems Telecommunications Thermal loading Dispersion Heat transfer Resistance heating

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Secure image encryption based on a chua chaotic noise generator

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Journal of engineering science and Technology Review 2013年第4期6卷 90-103页

作者： Andreatos, A.S. Leros, A.P. Div. of Computer Engineering and Information Science Hellenic Air Force Academy Dekeleia Air Force Base Dekeleia Attica TGA-1010 Greece Dpt. of Automation School of Technological Applications Technological Educational Institute of Chalkis 34400 Psachna Evia Greece

This paper presents a secure image cryptography telecom system based on a Chua's circuit chaotic noise generator. A chaotic system based on synchronised Master-Slave Chua's circuits has been used as a chaotic true random number generator (CTRNG). Chaotic systems present unpredictable and complex behaviour. This characteristic, together with the dependence on the initial conditions as well as the tolerance of the circuit components, make CTRNGs ideal for cryptography. In the proposed system, the transmitter mixes an input image with chaotic noise produced by a CTRNG. Using thresholding techniques, the chaotic signal is converted to a true random bit sequence. The receiver must be able to reproduce exactly the same chaotic noise in order to subtract it from the received signal. This becomes possible with synchronisation between the two Chua's circuits: through the use of specific techniques, the trajectory of the Slave chaotic system can be bound to that of the Master circuit producing (almost) identical behaviour. Additional blocks have been used in order to make the system highly parameterisable and robust against common attacks. The whole system is simulated in Matlab. Simulation results demonstrate satisfactory performance, as well as, robustness against cryptanalysis. The system works with both greyscale and colour jpg images. © 2013 Kavala Institute of Technology.

关键词： Synchronization

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Maximin Fairness-profit Tradeoff in Project Budget Allocation

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Procedia computer science 2016年 100卷 313-320页

作者： Maurizio Naldi Gaia Nicosia Andrea Pacifici Ulrich Pferschy Dpt. of Computer Science and Civil Engineering University of Rome Tor Vergata Rome Italy Dipartimento di Ingegneria Universita’ Roma Tre Rome Italy Department of Statistics and Operations Research University of Graz Graz Austria

Companies typically select those projects that maximize their profit as the primary criterion, within the limited budget at their disposal. This criterion may lead to some company departments getting an exceedingly large share of the overall budget and induce a negative perception of unfairness among the less favourite ones. We investigate how profit optimization can be sought after while achieving the desired level of fairness at the same time. Adopting a maximin approach to fairness and using an Integer Linear Programming solver, we show that a linear trade-off is possible, since fairness and profit exhibit a nearly perfect linear anticorrelation. Fairness can be improved by even a relatively small reduction of profit, especially in large companies (i.e., managing a large number of projects).

关键词： Budget allocation Multi-project management Project Portfolio Fairness

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A survey on goal-oriented visualization of clone data

A survey on goal-oriented visualization of clone data

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IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT)

作者： Hamid Abdul Basit Muhammad Hammad Rainer Koschke SBA School of Science and Engineering Lahore University of Management Sciences Pakistan Punjab Information Technology Board (PITB) Pakistan Dpt. of Mathematics and Informatics University of Bremen Germany

Comprehending software clones is necessary for a number of activities in software development. The comprehension of software clones is challenged by the sheer volume of data and the complexity of the information content in that data. Visualization, or visual data analysis, takes advantage of human cognitive skills to discover unstructured insights from the visual presentations of complex and voluminous data. In this paper, we survey the existing literature on visualization of software clones. We gather the insights provided, and put that information in context of actual information needs systematically derived from the clone management goals. This framework allows us to better understand the role a visualization may play in achieving a specific user goal, identify potential gaps between existing types of visualization and information needs, and find complementary non-redundant subsets of visualizations for each user goal.

关键词： Cloning Data visualization Software Context Visualization Measurement Quality assessment

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Variational Gaussian process for missing label crowdsourcing classification problems

Variational Gaussian process for missing label crowdsourcing...

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IEEE Workshop on Machine Learning for Signal Processing

作者： Pablo Ruiz Emre Besler Rafael Molina Aggelos K. Katsaggelos Dpto. de Ciencias de la Computación e I.A. Universidad de Granada Dpt. of Electrical Engineering and Computer Science Northwestern University

ISBN: (纸本)9781509007479

In this paper we address the crowdsourcing problem, where a classifier must be trained without knowing the real labels. For each sample, labels (which may not be the same) are provided by different annotators (usually with different degrees of expertise). The problem is formulated using Bayesian modeling, and considers scenarios where each annotator may label a subset of the training set samples only. Although Bayesian approaches have been previously proposed in the literature, we introduce Variational Bayes inference to develop an iterative algorithm where all latent variables are automatically estimated. In the experimental section the proposed model is evaluated and compared with other state-of-the-art methods on two real datasets.

关键词： Crowdsourcing Bayes methods Reliability Probabilistic logic Training Gaussian processes Noise measurement

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LEARNING FILTERS IN GAUSSIAN PROCESS CLASSIFICATION PROBLEMS

LEARNING FILTERS IN GAUSSIAN PROCESS CLASSIFICATION PROBLEMS

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IEEE International Conference on Image Processing

作者： Pablo Ruiz Javier Mateos Rafael Molina Aggelos K. Katsaggelos Dpto. de Ciencia de la Computacion e I.A. Universidad de Granada Dpt. of Electrical Engineering and Computer Science. Northwestern University

ISBN: (纸本)9781479957521

Many real classification tasks are oriented to sequence (neighbor) labeling, that is, assigning a label to every sample of a signal while taking into account the sequentiality (or neighborhood) of the samples. This is normally approached by first filtering the data and then performing classification. In consequence, both processes are optimized separately, with no guarantee of global optimality. In this work we utilize Bayesian modeling and inference to jointly learn a classifier and estimate an optimal filterbank. Variational Bayesian inference is used to approximate the posterior distributions of all unknowns, resulting in an iterative procedure to estimate the classifier parameters and the filterbank coefficients. In the experimental section we show, using synthetic and real data, that the proposed method compares favorably with other classification/filtering approaches, without the need of parameter tuning.

关键词： Gaussian Process classification Filter estimation Analysis representation

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Improving the Safety of Patient-Controlled Analgesia Infusions with Safety Interlocks and Closed-Loop Control

Improving the Safety of Patient-Controlled Analgesia Infusio...

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Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP)

作者： Philippe-Antoine Cortes Shankar M. Krishnan Insup Lee Julian M. Goldman Department of Computer and Information Science University of Pennsylvania USA Department of Biomedical Engineering Massachusetts General Hospital USA Dpt of Computer and Information Science University of Pennsylvania USA Physician Advisor to Partners Healthcare Biomedical Engineering MGH

Patient-controlled analgesia (PCA) treatment for post-operative pain management is commonly employed in hospitals and its usage is steadily increasing. However, despite the apparent "inherent" safety strategy of requiring active participation of the patient to administer each opioid dose, adverse drug events have been reported. The major reasons for the adverse events are factors such as pump programming errors, patient risk factors, human interactions, equipment malfunctions and drug prescription errors. These conditions can lead to situations where patients develop severe complications such as respiratory depression due to overmedication. Another significant aspect to be addressed is the requirement for interoperability of medical devices connected to the patient for diagnosis and therapy, which can mitigate some of the cited problems and result in enhancement of patient safety and treatment efficacy. The objective of the proposed study is to develop requirements for an interoperable system that prevents the occurrence of respiratory depression due to adverse drug events experienced while using a PCA pump. A system of networked medical devices is being proposed to continuously monitor patients on PCA systems to detect evidence of deteriorating respiratory functions or similar critical states, and then to activate a safety interlock to suspend the medication delivery if the cause of the patient state is attributed to overmedication, and to activate the nurse-call system to initiate a prompt assessment by clinicians.

关键词： Principal component analysis Medical treatment Drugs Medical diagnostic imaging Safety devices Pain Hospitals Humans Patient monitoring Biomedical monitoring

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