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International Conference on Infrared and Millimeter Waves

作者： Min Zhai Alexandre Locquet C. Carreras Monfort Kevin Alexandre Kazek D.S. Citrin Georgia Tech-CNRS UMI-2958 Georgia Tech Lorraine School of Electrical and Computer Engineering Georgia Institute of Technology Metz Atlanta France Georgia USA Universitat Atònoma de Barcelona Edifici B Facultata de Filosofia I Lletres Barcelona Spain Musée de la Cour d'Or-Metz Metropole Metz France

ISBN: (数字)9781728166209

ISBN: (纸本)9781728166216

Amphorae frequently have a whitish skin that has been mistaken for a slip or painted layer over the otherwise pinkish ceramic. This skin is due to the simultaneous presence of calcite and NaCl in the clay, leading to depletion of red iron oxides near the surface. We demonstrate that terahertz time-of-flight tomography can provide a nondestructive, contactless means to measure the skin thickness on amphora sherds, finding a thickness of ~50 μm.

关键词： Tomography Skin Time measurement Iron Surface treatment Standards Thickness measurement

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A Review on Detecting Phishing URLs using Clustering Algorithms

A Review on Detecting Phishing URLs using Clustering Algorit...

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International Conference on Advances in Computing, Communication and Control (ICAC3)

作者： Shaheen Mondal Diksha Maheshwari Nilima Pai Ameyaa biwalkar B. Tech. Computer Engineering Mukesh Patel School of Technology Management and Engineering NMIMS India Mukesh Patel School of Technology Management and Engineering NMIMS India

ISBN: (数字)9781728123868

ISBN: (纸本)9781728123875

Phishing is a kind of a social engineering attack. The attacker poses as a legitimate entity and communicates with the victim through some mode of communication. The user is prompted to open a link which has been designed to look similar to a legitimate website, or is prompted to relay sensitive credentials over the phone. The attacker steals the users' information to perform identity theft, account hijacking, etc. In this paper, we focus on URL based phishing attacks. Most of the solutions that we investigated focused more on the classification algorithms rather than clustering. Our aim is to experiment and compare the results of both of these types of algorithms. The main premise of our approach is a hybrid machine learning model comprising of two steps- checking with a blacklist and whitelist, and heuristics based detection, to increase the accuracy of the proposed algorithm.

关键词： Phishing Clustering algorithms Uniform resource locators Classification algorithms Machine learning algorithms blacklisting Electronic mail

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A generalized efficiency mismatch attack to bypass detection-scrambling countermeasure

arXiv

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arXiv 2021年

作者： Fatin, Md Abduhu Ruhul Sajeed, Shihan Department of Electrical and Electronic Engineering Bangladesh University of Engg and Tech. Dhaka Bangladesh Department of Electronics Carleton University OttawaONK1S 5B6 Canada Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical and Computer Engineering University of Toronto M5S 3G4 Canada

The ability of an eavesdropper to compromise the security of a quantum communication system by changing the angle of the incoming light is well-known. Randomizing the role of the detectors has been proposed to be an efficient countermeasure to this type of attack. Here we show that the proposed countermeasure can be bypassed if the attack is generalized by including more attack variables. Using the experimental data from existing literature, we show how randomization effectively prevents the initial attack but fails to do so when Eve generalizes her attack strategy. Our result and methodology could be used to security-certify a free-space quantum communication receiver against all types of detector-efficiency-mismatch type attacks. © 2021, CC bY.

关键词： Quantum communication

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Secrecy Analysis of a TAS/MRC Scheme in α-μ Fading Channels

Secrecy Analysis of a TAS/MRC Scheme in α-μ Fading Channel...

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2019 IEEE Wireless Communications and Networking Conference, WCNC 2019

作者： Moualeu, Jules M. Da Costa, Daniel b. Lopez-Martinez, F. Javier Hamouda, Walaa Ngatched, Telex M. N. Dias, Ugo S. School of Electrical and Information Engineering University of the Witwatersrand Johannesburg South Africa Department of Computer Engineering Federal University of Ceará Sobral CE Brazil Departamento de Ingenieŕia de Comunicaciones Universidad de Malaga-Campus de Excelencia Internacional Andalućia Tech. Malaga29071 Spain Department of Electrical and Computer Engineering Concordia University MontrealQCH3G 1M8 Canada Faculty of Engineering and Applied Science Memorial University St. John'sNLA1B 3X5 Canada Department of Electrical Engineering University of Brasilia BrasiliaDF Brazil

ISBN: (纸本)9781538676462

This paper investigates the secrecy performance of a multiple-input multiple-output (MIMO) system with transmit antenna selection (TAS) and maximal-ratio combining (MRC) over generalized α-μ fading. In the underlying wireless communication system, a single antenna is selected to transmit confidential messages to a multi-antenna receiver in the presence of a passive multi-antenna eavesdropper. In our analysis, new closed-form expressions are obtained for the secrecy outage probability (SOP) and the probability of strictly positive secrecy capacity (SPSC), and are subsequently corroborated through Monte Carlo simulations to assess their validity. Moreover, asymptotic studies of the secrecy outage probability are derived and explicitly show the effects of various system parameters on the secrecy diversity gain. © 2019 IEEE.

关键词： Fading channels

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Transmit Antenna Selection in Secure MIMO Systems over α-μ Fading Channels

Transmit Antenna Selection in Secure MIMO Systems over α-μ...

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作者： Moualeu, Jules M. Da Costa, Daniel benevides Lopez-Martinez, F. Javier Hamouda, Walaa Nkouatchah, Telex M. N. Dias, Ugo Silva School of Electrical and Information Engineering University of the Witwatersrand at Johannesburg Johannesburg2000 South Africa Department of Computer Engineering Federal University of Ceará Sobral62010-560 Brazil Departamento de Ingeniería de Comunicaciones Campus de Excelencia Internacional Andalucía Tech Universidad de Málaga Málaga29071 Spain Department of Electrical and Computer Engineering Concordia University MontrealQCH3G 1M8 Canada Faculty of Engineering and Applied Science Memorial University St. John'sNLA1B 3X5 Canada Department of Electrical Engineering University of Brasília Brasília70910-900 Brazil

This paper investigates the secrecy performance of multiple-input multiple-output systems under generalized α -μ fading conditions. To this end, we focus on two distinct scenarios: 1) the transmitter has knowledge of the channel state information (CSI) of the eavesdropper channel and 2) the transmitter is not aware of the CSI of the wiretap link. by considering transmit antenna selection in the underlying system, we develop closed-form analytical expressions for the lower bound of the secrecy outage probability (SOP) and the probability of the strictly positive secrecy capacity. Furthermore, two novel approaches are proposed to derive an analytical expression of the average secrecy capacity (ASC). First, the ASC is expressed as a function of the average capacity of the desired link and an interaction term regarded as the ASC loss. Second, the ASC is expressed in terms of the average capacities of the desired and eavesdropper links, plus an interaction term that can be regarded as some sort of ASC gain due to the statistical independence between the desired and eavesdropper links. In addition, asymptotic studies of the SOP and the ASC at high signal-to-noise ratio are carried out, which precisely reveal the secrecy diversity and array gains. © 1972-2012 IEEE.

关键词： MIMO systems

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IoT based saline level monitoring system

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IOP Conference Series: Materials Science and engineering 2020年第3期981卷

作者： G. Sunil Srinivas Aluvala G. Ranadheer Reddy Vedantham Sreeharika Parupally Sindhu Sriramula Keerthana Department of Computer Science and Engineering S R Engineering College Warangal Telangana India School of Computer Science and Artificial Intelligence S R University Warangal Telangana India Assistant Professor Department of Computer Science and Engineering Sumathi Reddy Institute of Technology for Women Warangal Telangana India B. Tech Student Department of Electronics and Communication Engineering S R Engineering College Warangal Telangana India B. Tech Student Department of Computer Science and Engineering S R Engineering College Warangal Telangana India

In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observation of nurses is mandatory in monitoring the level of the saline. There are many cases where patients are being harmed due to the staff inattentiveness, as their absence does not notice the completion of saline level in the container. This arise the problem of back flow of blood immediately after the completion of saline in container. Hence to protect the patient from getting harmed an IoT based saline level monitoring system has been developed. The proposed model incorporates a sensor which continuously detects the saline drops. Whenever the sensor does not detect the drops for a certain interval it alerts the staff of the hospital with the buzzer, helping to monitor the safety of the patients.

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Secured payment system using face recognition technique

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AIP Conference Proceedings 2020年第1期2282卷

作者： Arun Misra Rahul Kumar Dev Mr. M. Rajasekaran 1B. Tech Computer Science and Engineering SRM Institute of Science and Technology Chennai India 2Assistant Professor Computer Science and Engineering SRM Institute of Science and Technology Chennai India

This paper describes the process through which “Secured payment system using face recognition technique”- project has been made. It describes the main objective of the project which is to be able to develop a secured and robust payment system using face recognition in python programming language with the help of OpenCV. It uses confidence value which can be described as the value generated by the system informing us about the accuracy of prediction. This project was made by combining various detection modules and pattern recognizer. In this project various existing methods are combined together to give us the result. Pin and one time password (OTP) are used for security measures to make safe and successful transaction. OTP will be sent to the registered phone number of the user.

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Scalability of high-performance PDE solvers

arXiv

引用

arXiv 2020年

作者： Fischer, Paul Min, Misun Rathnayake, Thilina Dutta, Som Kolev, Tzanio Dobrev, Veselin Camier, Jean-Sylvain Kronbichler, Martin Warburton, Tim Swirydowicz, Kasia brown, Jed Mathematics and Computer Science Argonne National Laboratory LemontIL60439 Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 Center for Applied Scientific Computing Lawrence Livermore National Laboratory LivermoreCA94550 Institute for Computational Mechanics Technical University of Munich Garching b. Muenchen85748 Germany Department of Computer Science University of Colorado BoulderCO80309 National Renewable Energy Laboratory LakewoodCO80401 Department of Mathematics Virginia Tech BlacksburgVA24061 Mechanical & Aerospace Engineering Utah State University UT84322

Performance tests and analyses are critical to effective HPC software development and are central components in the design and implementation of computational algorithms for achieving faster simulations on existing and future computing architectures for large-scale application problems. In this paper, we explore performance and space-time trade-offs for important compute-intensive kernels of large-scale numerical solvers for PDEs that govern a wide range of physical applications. We consider a sequence of PDE-motivated bake-off problems designed to establish best practices for efficient high-order simulations across a variety of codes and platforms. We measure peak performance (degrees of freedom per second) on a fixed number of nodes and identify effective code optimization strategies for each architecture. In addition to peak performance, we identify the minimum time to solution at 80% parallel efficiency. The performance analysis is based on spectral and p-type finite elements but is equally applicable to a broad spectrum of numerical PDE discretizations, including finite difference, finite volume, and h-type finite *** Codes 35-04 Copyright © 2020, The Authors. All rights reserved.

关键词： computer architecture

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Annotation and Retrieval of Retinal Images using Support Vector Machine with Active Learning

Annotation and Retrieval of Retinal Images using Support Vec...

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IEEE International Conference on Intelligent techniques in Control, Optimization and Signal Processing (INCOS)

作者： I.S. Hephzi Punithavathi P. GaneshKumar P. Duraipand y Department of Computer Science & Engineering Shadan College of Engg. & Tech Hyderabad India Department of Information Technology Anna University Regional Campus Coimbatore India Department of Electrical & Electronics Engineering J.B.Institute of Engg. & Technology Hyderabad India

In the medical field, many images are acquired using different modalities like X-ray, Computed Tomography and Magnetic Resonance Imaging. Organizing these images and retrieving them is a critical task. In this paper, a novel retinal image retrieval and automatic annotation of ten different retinal diseases is presented and is comprised of three steps namely, feature extraction, automatic annotation and retrieval of similar images. In feature extraction, visual features like texture, color and shape were derived from the images and stored in a database. The retinal images are affected by various diseases and have to be identified easily and quickly for better treatment. For automatic annotation, we have considered ten different retinal diseases and annotated the retinal image with its corresponding disease using Support Vector Machine (SVM) with Active Learning (AL) and discriminative based automatic image annotation. In retrieval of images, bray Curtis distance measure was used to retrieve the similar images by comparing the feature values of images stored in the database. Our proposed system has achieved a precision of 82% and specificity of 96.3%.

关键词： Feature extraction Shape Retina Support vector machines Image retrieval Annotations Diseases

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Nine-frequency-path quantum interferometry over 60 km of optical fiber

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Physical Review A 2019年第3期99卷 033805-033805页

作者： batiste Galmès Kien Phan-Huy Luca Furfaro Yanne K. Chembo Jean-Marc Merolla Optics Department FEMTO-ST Institute Université Bourgogne Franche-Comté CNRS 15B Avenue des Montboucons 25030 Besançon Cedex France Georgia Tech–CNRS Joint International Laboratory UMI No. 2958 Atlanta Mirror Site School of Electrical and Computer Engineering 777 Atlantic Drive NW Atlanta Georgia 30332 USA

The archetypal quantum interferometry experiment yields an interference pattern that results from the indistinguishability of two spatiotemporal paths available to a photon or to a pair of entangled photons. A fundamental challenge in quantum interferometry is to perform such experiments with a higher number of paths and over large distances. We demonstrate that using indistinguishable frequency paths instead of spatiotemporal ones allows for robust, high-dimensional quantum interferometry in optical fibers. In our system, twin photons from an Einstein-Podolsky-Rosen pair are offered up to nine frequency paths after propagation in long-haul optical fibers and we show that the multipath quantum interference patterns can be faithfully restored after the photons travel a total distance of up to 60km.

关键词： Nonlocality Quantum channels Quantum correlations in quantum information Quantum networks Quantum optics Optical interferometry

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