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13th International Conference on High Performance computing and Simulation, HPCS 2015

作者： Mathey, German Maglione Yebenes, Pedro Garcia, Pedro J. Quiles, Francisco J. Escudero-Sahuquillo, Jesus Dept. of Computing Systems University of Castilla-La Mancha Campus Universitario s/n Albacete02071 Spain Dept. of Computing Engineering Technical University of Valencia Camino de Vera s/n Valencia46022 Spain

ISBN: (纸本)9781467378123

Dragonfly topologies have gathered great interest as one of the most promising interconnection patterns for the networks at the core of HPC clusters. In this paper, we configure several simulated InfiniBand-based clusters with a Dragonfly topology, and we analyze the performance in these configurations of the routing engines included in the latest release of the InfiniBand Subnet Manager (OpenSM v3.3.19). © 2015 IEEE.

关键词： Topology

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Voltammetric determination of catechins in green tea using stainless steel electrode

Voltammetric determination of catechins in green tea using s...

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International Conference on Intelligent Control Power and Instrumentation (ICICPI)

作者： Trisita Nandy Chatterjee Runu Banerjee Roy Bipan Tudu Rajib Bandyopadhyay Panchanan Pramanik Nabarun Bhattacharyya Dept. of Instrumentation and Electronics Engineering Jadavpur University Kolkata India Laboratory of Artificial Sensory Systems ITMO University Saint Petersburg Russia Institute of Applied Science and Humanities GLA University Mathura India Centre for Development of Advanced Computing Juhu Maharashtra IN

ISBN: (纸本)9781509026395

Catechin plays a significant role in determining the level of astringency and taste of green tea. It has also certain health benefits which makes green tea very popular among mankind. This study reports the use of stainless steel electrode for the detection of catechin. The sensory evaluation of the electrode was compared with that of carbon paste and platinum electrode by means of cyclic voltammetry. The electrode also showed good linearity over the concentration range 1 to 10μM having R 2 value of 0.99. Real tea samples are also explored herein to ascertain the performance of the electrode.

关键词： Electrodes Steel Carbon Instruments Principal component analysis Intelligent control

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VNetIntSim: An integrated simulation platform to model transportation and communication networks 1

VNetIntSim: An integrated simulation platform to model trans...

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1st International Conference on Vehicle Technology and Intelligent Transport systems, VEHITS 2015

作者： Elbery, Ahmed Rakha, Hesham Elnainay, Mustafa Y. Hoque, Mohammad A. Dept. of Computer Science Dept. of Civil Engineering Virginia Tech BlacksburgVA United States Dept. of Computer and Systems Eng. Alexandria University Alexandria Egypt Dept. of Computing East Tennessee State University Johnson City United States

ISBN: (纸本)9789897581090

The paper introduces a Vehicular Network Integrated Simulator (VNetIntSim) that integrates transportation modelling with Vehicular Ad Hoc Network (VANET) modelling. Specifically, VNetIntSim integrates the OPNET software, a communication network simulator, and the INTEGRATION software, a microscopic traffic simulation software. The INTEGRATION software simulates the movement of travellers and vehicles, while the OPNET software models the data exchange through the communication system. Information is exchanged between the two simulators as needed. As a proof of concept, the VNetIntSim is used to quantify the impact of mobility parameters (traffic stream speed and density) on the communication system performance, and more specifically on the data routing (packet drops and route discovery time).

关键词： Vehicular ad hoc networks

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Scalable and iterative image super-resolution using DCT interpolation and sparse representation 10

Scalable and iterative image super-resolution using DCT inte...

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10th International Conference on Computer Vision Theory and Applications, VISAPP 2015

作者： Reis, Saulo R. S. Bressan, Graça Dept. of Electrical Engineering Federal University of Mato Grosso UFMT Cuiabá - Mato Grosso Brazil Dept. of Computing and Digital Systems Engineering Polytechnic School of University of São Paulo-EPUSP São Paulo-SP Brazil

ISBN: (纸本)9789897580895

In a scenario where acquisition systems have limited resources or available images do not have good quality, super-resolution (SR) techniques are an excellent alternative for improving the image quality. The traditional SR methods proposed in the literature are effective in HR image reconstruction to a magnification factor up to 2. In recent years, example-based SR methods have shown excellent results in the HR image reconstruction to magnification factor 3 or more. In this paper, we propose a scalable and iterative algorithm for single-image SR using a two-step strategy with DCT interpolation and the sparsebased learning method. The method proposed implements some improvements in the dictionary training and the reconstruction process. A new dictionary is built by using an unsharp mask technique for feature extraction. The idea is to reduce the learning time by using two different small dictionaries. The results were compared with others interpolation-based and SR methods and demonstrated the effectiveness of the algorithm proposed in terms of PSNR, SSIM and Visual Quality. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved.

关键词： Interpolation

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Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons

Morphometric analysis of hippocampus and lateral ventricle r...

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IEEE International Symposium on Biomedical Imaging

作者： Wen Zhang Jie Shi Cynthia Stonnington Robert J. Bauer Boris A. Gutman Kewei Chen Paul M. Thompson Eric M. Reiman Richard J. Caselli Yalin Wang School of Computing Informatics and Decision Systems Engineering Arizona State Univ. e AZ Dept. of Psychiatry and Psychology Mayo Clinic Arizona Scottsdale AZ Banner Alzheimer's Institute Phoenix AZ Imaging Genetics Center Univ.of Southern California Marina del Rey CA Dept. of Neurology Mayo Clinic Arizona Scottsdale AZ

ISBN: (纸本)9781479923519

Alzheimers disease (AD) is a progressive neurodegenerative disease most prevalent in the elderly. Distinguishing disease-related memory decline from normal age-related memory decline has been clinically difficult due to the subtlety of cognitive change during the preclinical stage of AD. In contrast, sensitive biomarkers derived from in vivo neuroimaging data could improve the early identification of AD. In this study, we employed a morphometric analysis in the hippocampus and lateral ventricle. A novel group-wise template-based segmentation algorithm was developed for ventricular segmentation. Further, surface multivariate tensor-based morphometry and radial distance on each surface point were computed. Using Hotellings T2 test, we found significant morphometric differences in both hippocampus and lateral ventricle between stable and clinically declining subjects. The left hemisphere was more severely affected than the right during this early disease stage. Hippocampal and ventricular morphometry has significant potential as an imaging biomarker for onset prediction and early diagnosis of AD.

关键词： Image segmentation Surface reconstruction Hippocampus Surface treatment Surface morphology Diseases Imaging

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Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline

Applying sparse coding to surface multivariate tensor-based ...

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IEEE International Symposium on Biomedical Imaging

作者： Jie Zhang Cynthia Stonnington Qingyang Li Jie Shi Robert J. Bauer Boris A. Gutman Kewei Chen Eric M. Reiman Paul M. Thompson Jieping Ye Yalin Wang School of Computing Informatics and Decision Systems Engineering Arizona State Univ. Tempe AZ Dept. of Psychiatry and Psychology Mayo Clinic Arizona Scottsdale AZ Banner Alzheimer's Institute Phoenix AZ Imaging Genetics Center Univ. of Southern California Marina del Rey CA Dept. of Computational Medicine and Bioinformatics Univ. of Michigan Ann Arbor MI

ISBN: (纸本)9781479923519

Alzheimer's disease (AD) is a progressive brain disease. Accurate diagnosis of AD and its prodromal stage, mild cognitive impairment, is crucial for clinical trial design. There is also growing interests in identifying brain imaging biomarkers that help evaluate AD risk presymptomatically. Here, we applied a recently developed multivariate tensor-based morphometry (mTBM) method to extract features from hip-pocampal surfaces, derived from anatomical brain MRI. For such surface-based features, the feature dimension is usually much larger than the number of subjects. We used dictionary learning and sparse coding to effectively reduce the feature dimensions. With the new features, an Adaboost classifier was employed for binary group classification. In tests on publicly available data from the Alzheimers Disease Neuroimaging Initiative, the new framework outperformed several standard imaging measures in classifying different stages of AD. The new approach combines the efficiency of sparse coding with the sensitivity of surface mTBM, and boosts classification performance.

关键词： Dictionaries Encoding Feature extraction Surface morphology Alzheimer's disease Standards

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Generation of drug loaded echogenic liposomes using microfluidic hydrodynamic focusing 19

Generation of drug loaded echogenic liposomes using microflu...

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19th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2015

作者： Mukherjee, Prithviraj Kandadai, Madhuvanthi A. Shaw, George J. Holland, Christy K. Papautsky, Ian Dept. Electrical Engineering and Computing Systems Univ. Cincinnati OH United States Dept. Emergency Medicine Univ. Cincinnati OH United States Dept. Internal Medicine Division of Cardiovascular Diseases Univ. Cincinnati OH United States

ISBN: (纸本)9780979806483

In this work, we demonstrate a microfluidic flow focusing system for the production of drug-loaded echogenic liposomes (ELIP) with a narrow size distribution. Drug-loaded ELIP are under development for ultrasound-mediated therapeutic delivery to treat cardiovascular disease. The ELIP have an octafluorocyclobutane gas core and are also loaded with the thrombolytic drug rt-PA (recombinant tissue plasminogen activator). Our results indicate that ELIP with 2-10 μm diameter can be generated with homogeneous size distribution. Our results also suggest that Pluronic F127 gel suspension environment leads to lower aggregation, improved dimensional stability, and longer lifetime of ELIP, compared with the traditional BSA and saline solutions. © 15CBMS-0001.

关键词： Microfluidics

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Design and implementation of area efficient multi-ported memories with write conflict resolution

Design and implementation of area efficient multi-ported mem...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： Akshata Anil Muddebihal Carla Purdy Dept. of Electrical Engineering & Computing Systems University of Cincinnati Cincinnati OH USA

Multiported memories (MPMs) are essential building blocks for increasing issue width in today's superscalar processors and enabling instruction level parallelism. FPGAs are an attractive platform for realizing MPMs, as they contain dual ported embedded memory blocks of fixed number and size which can be used to construct memories with more ports. The Live Value Table (LVT) technique has been used to construct MPMs with an arbitrary number of ports. Here we describe modifications to LVT enabling us to construct MPMs which are superior with respect to area of both block RAMS (BRAMs) and logic elements (LEs). As an example, we build a 32-bit wide, 256-bit deep 4W/8R memory containing 43% fewer LEs and 75% fewer BRAMS, compared to an MPM based on the original LVT techniques. We also study the effect of write port to read port ratios on performance and we propose a hardware mechanism for write conflict detection and resolution.

关键词： Random access memory Field programmable gate arrays Clocks Memory management Program processors Cyclones Ports (Computers)

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Mitigating distributed denial-of-service attacks in named data networking 11

Mitigating distributed denial-of-service attacks in named da...

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11th Advanced International Conference on Telecommunications, AICT 2015

作者： Vassilakis, Vassilios G. Moscholios, Ioannis D. Alohali, Bashar A. Logothetis, Michael D. Institute for Communication Systems University of Surrey Guildford United Kingdom Dept. of Informatics and Telecommunications University of Peloponnese Tripolis Greece School of Computing and Mathematical Sciences Liverpool John Moors University Liverpool United Kingdom Dept. of Electrical and Computer Engineering University of Patras Patras Greece

ISBN: (纸本)9781612084114

Named Data Networking (NDN) is a novel networking approach that aims at overcoming some of the limitations of the current Internet. In particular, NDN aims at providing better privacy and security by focusing on the data items themselves rather than on the location of data. This is achieved by using soft states at the routers, which record the requests/interests for data from users in the Pending Interest Table (PIT). However, this new networking concept opens up avenues for launching Distributed Denial-of-Service (DDoS) attacks on PITs. That is, an attacker may flood the network with a large number of Interest packets that would overflow the PITs at the routers, thus preventing legitimate users from receiving the requested data. This type of DDoS attack is known as the Interest Flooding Attack (IFA) and, if not adequately dealt with, may severely disrupt the normal operation of an NDN system. In this paper, we first show that the basic NDN mechanism is vulnerable to IFA even when the attacker has very limited resources. Next, we propose a mitigation technique that allows routers to quickly identify and block such DDoS attempts, by detecting anomalous user behaviour. We also introduce an additional security layer by using public-key based router authentication. We evaluate our proposed scheme by means of computer simulations and show that a sufficient level of security can be achieved with little processing and storage overhead. Copyright © 2015 IARIA.

关键词： Denial-of-service attack

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NWChem: Past, present, and future

arXiv

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arXiv 2020年

作者： Aprà, E. Bylaska, E.J. de Jong, W.A. Govind, N. Kowalski, K. Straatsma, T.P. Valiev, M. van Dam, H.J.J. Alexeev, Y. Anchell, J. Anisimov, V. Aquino, F.W. Atta-Fynn, R. Autschbach, J. Bauman, N.P. Becca, J.C. Bernholdt, D.E. Bhaskaran-Nair, K. Bogatko, S. Borowski, P. Boschen, J. Brabec, J. Bruner, A. Cauët, E. Chen, Y. Chuev, G.N. Cramer, C.J. Daily, J. Deegan, M.J.O. Dunning, T.H. Dupuis, M. Dyall, K.G. Fann, G.I. Fischer, S.A. Fonari, A. Früchtl, H. Gagliardi, L. Garza, J. Gawande, N. Ghosh, S. Glaesemann, K. Götz, A.W. Hammond, J. Helms, V. Hermes, E.D. Hirao, K. Hirata, S. Jacquelin, M. Jensen, L. Johnson, B.G. Jónsson, H. Kendall, R.A. Klemm, M. Kobayashi, R. Konkov, V. Krishnamoorthy, S. Krishnan, M. Lin, Z. Lins, R.D. Littlefield, R.J. Logsdail, A.J. Lopata, K. Ma, W. Marenich, A.V. Martin del Campo, J. Mejia-Rodriguez, D. Moore, J.E. Mullin, J.M. Nakajima, T. Nascimento, D.R. Nichols, J.A. Nichols, P.J. Nieplocha, J. Otero-de-la-Roza, A. Palmer, B. Panyala, A. Pirojsirikul, T. Peng, B. Peverati, R. Pittner, J. Pollack, L. Richard, R.M. Sadayappan, P. Schatz, G.C. Shelton, W.A. Silverstein, D.W. Smith, D.M.A. Soares, T.A. Song, D. Swart, M. Taylor, H.L. Thomas, G.S. Tipparaju, V. Truhlar, D.G. Tsemekhman, K. van Voorhis, T. Vázquez-Mayagoitia, Á. Verma, P. Villa, O. Vishnu, A. Vogiatzis, K.D. Wang, D. Weare, J.H. Williamson, M.J. Windus, T.L. Woliński, K. Wong, A.T. Wu, Q. Yang, C. Yu, Q. Zacharias, M. Zhang, Z. Zhao, Y. Harrison, R.J. Pacific Northwest National Laboratory RichlandWA99352 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Brookhaven National Laboratory UptonNY11973 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Intel Corporation Santa ClaraCA95054 United States QSimulate CambridgeMA02139 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Chemistry University at Buffalo State University of New York BuffaloNY14260 United States Department of Chemistry Pennsylvania State University University ParkPA16802 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Washington University St. LouisMO63130 United States 4G Clinical WellesleyMA02481 United States Faculty of Chemistry Maria Curie-Sklodowska University in Lublin Lublin20-031 Poland Department of Chemistry Iowa State University AmesIA50011 United States J. Heyrovský Institute of Physical Chemistry Academy of Sciences of the Czech Republic Prague 818223 Czech Republic Department of Chemistry and Physics University of Tennessee at Martin MartinTN38238 United States Université libre de Bruxelles BrusselsB-1050 Belgium Facebook Menlo ParkCA94025 United States Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Moscow142290 Russia Department of Chemistry Chemical Theory Center Supercomputing Institute University of Minnesota MinneapolisMN55455 United States SKAO Jodrell Bank Observatory MacclesfieldSK11 9DL United Kingdom Department of Chemistry University of Washington SeattleWA98195 United States Dirac Solutions PortlandOR97229 United States Chemistry Division U. S. Naval Research Laboratory WashingtonDC20375 United States School of Chemistry and Biochemis

Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the last few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach and outlook. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational chemistry

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