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8th AIAA Atmospheric and Space Environments Conference, 2016

作者： Bansmer, Stephan E. Steiner, Jan Institute of Fluid Mechanics Technische Universität Braunschweig Braunschweig 38108 Germany Institute of Aerodynamics and Flow Technology DLR Braunschweig38108 Germany Hermann-Blenk-Straβe 37 Braunschweig38108 Germany Center for Computer Applications in Aerospace Science and Engineering Lilienthalplatz 7 Braunschweig38108 Germany

ISBN: (数字)9781624104336

ISBN: (纸本)9781624104336

Modeling the physics of ice accretion on airfoils due to the impact of supercooled droplets is still a great challenge because it involves knowledge on growing ice roughness. Using icing wind tunnel experiments to investigate the ice accretion process within the SLD regime (MVD> 50μm), we derive quantitative roughness data that is compared with data from literature. We show that our data is supporting the model of a zonal distribution of roughness. © 2016, National Research Council Canada.

关键词： Ice

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SPT clusters with DES and HST weak lensing. II. Cosmological constraints from the abundance of massive halos

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Physical Review D 2024年第8期110卷 083510页

作者： S. Bocquet S. Grandis L. E. Bleem M. Klein J. J. Mohr T. Schrabback T. M. C. Abbott P. A. R. Ade M. Aguena A. Alarcon S. Allam S. W. Allen O. Alves A. Amon A. J. Anderson J. Annis B. Ansarinejad J. E. Austermann S. Avila D. Bacon M. Bayliss J. A. Beall K. Bechtol M. R. Becker A. N. Bender B. A. Benson G. M. Bernstein S. Bhargava F. Bianchini M. Brodwin D. Brooks L. Bryant A. Campos R. E. A. Canning J. E. Carlstrom A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. L. Chang C. Chang P. Chaubal R. Chen H. C. Chiang A. Choi T-L. Chou R. Citron C. Corbett Moran J. Cordero M. Costanzi T. M. Crawford A. T. Crites L. N. da Costa M. E. S. Pereira C. Davis T. M. Davis J. DeRose S. Desai T. de Haan H. T. Diehl M. A. Dobbs S. Dodelson C. Doux A. Drlica-Wagner K. Eckert J. Elvin-Poole S. Everett W. Everett I. Ferrero A. Ferté A. M. Flores J. Frieman J. Gallicchio J. García-Bellido M. Gatti E. M. George G. Giannini M. D. Gladders D. Gruen R. A. Gruendl N. Gupta G. Gutierrez N. W. Halverson I. Harrison W. G. Hartley K. Herner S. R. Hinton G. P. Holder D. L. Hollowood W. L. Holzapfel K. Honscheid J. D. Hrubes N. Huang J. Hubmayr E. M. Huff D. Huterer K. D. Irwin D. J. James M. Jarvis G. Khullar K. Kim L. Knox R. Kraft E. Krause K. Kuehn N. Kuropatkin F. Kéruzoré O. Lahav A. T. Lee P.-F. Leget D. Li H. Lin A. Lowitz N. MacCrann G. Mahler A. Mantz J. L. Marshall J. McCullough M. McDonald J. J. McMahon J. Mena-Fernández F. Menanteau S. S. Meyer R. Miquel J. Montgomery J. Myles T. Natoli A. Navarro-Alsina J. P. Nibarger G. I. Noble V. Novosad R. L. C. Ogando Y. Omori S. Padin S. Pandey P. Paschos S. Patil A. Pieres A. A. Plazas Malagón A. Porredon J. Prat C. Pryke M. Raveri C. L. Reichardt J. Roberson R. P. Rollins C. Romero A. Roodman J. E. Ruhl E. S. Rykoff B. R. Saliwanchik L. Salvati C. Sánchez E. Sanchez D. Sanchez Cid A. Saro K. K. Schaffer L. F. Secco I. Sevilla-Noarbe K. Sharon E. Sheldon T. Shin C. Sievers G. Smecher M. Smith T. Somboonpanyakul M. Sommer B. Stalder A. A. Stark J. Stephen V. Straz University Observatory Faculty of Physics Universität Innsbruck Institut für Astro- und Teilchenphysik Technikerstraße 25/8 6020 Innsbruck Austria High-Energy Physics Division Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Kavli Institute for Cosmological Physics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Max Planck Institute for Extraterrestrial Physics Gießenbachstraße 1 85748 Garching Germany Argelander-Institut für Astronomie Auf dem Hügel 71 53121 Bonn Germany Cerro Tololo Inter-American Observatory NSF’s National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile School of Physics and Astronomy Cardiff University Cardiff CF24 3YB United Kingdom Laboratório Interinstitucional de e-Astronomia—LIneA Rua Gal. José Cristino 77 Rio de Janeiro Rio de Janeiro—20921-400 Brazil Fermi National Accelerator Laboratory P. O. Box 500 Batavia Illinois 60510 USA Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall Stanford California 94305 USA Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park California 94025 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom School of Physics University of Melbourne Parkville Victoria 3010 Australia NIST Quantum Devices Group 325 Broadway Mailcode 817.03 Boulder Colorado 80305 USA Department of Physics University of Colorado Boulder Colorado 80309 USA Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology Campus UAB 08193 Bellaterra (Barcelona) Spain Institute of Cosmology and Gravitation University of Portsmouth Portsmouth

We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel’dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). The cluster sample is constructed from the combined SPT-SZ, SPTpol ECS, and SPTpol 500d surveys, and comprises 1,005 confirmed clusters in the redshift range 0.25–1.78 over a total sky area of 5200 deg2. We use DES Year 3 weak-lensing data for 688 clusters with redshifts z<0.95 and HST weak-lensing data for 39 clusters with 0.6

关键词： Cosmological parameters Dark energy Large scale structure of the Universe Galaxy clusters

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Knowledge graph embedding translation based on constraints

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Journal of Information Hiding and Multimedia Signal Processing 2017年第5期8卷 1119-1131页

作者： Wu, Yunbing Pan, Jengshyang Lu, Ping Lin, Kaibiao Yu, Xiaoyan College of Mathematics and Computer Science Fuzhou University No.2. Xueyuan Road University Town Minhou Fuzhou CityFujian Province350116 China Fujian Provincial Key Lab of Big Data Mining and Applications Fujian University of Technology No.3. Xueyuan Road University Town Minhou Fuzhou CityFujian Province350118 China Department of Business Xiamen University of Technology No.600 Ligong Road Jimei District XiamenFujian Province361024 China School of Computer and Information Engineering Xiamen University of Technology No.600 Ligong Road Jimei District XiamenFujian Province361024 China

Knowledge graph reasoning is discovering new entity relations by computing and inference from existing relations. However, most reasoning models of translation embedding-based knowledge graphs have not considered the semantic-type constraints of relations in the construction of corrupted triplets. Hence, the constructed corrupted triplets may not conform to the actual semantic information and may, thus, significantly affect the prediction accuracy of the model. Therefore, we propose a constraint-based embedding model in this paper. First, the model establishes the head and tail entity set for each relationship. Then, it ensures that both the replacing head and tail entities in the corrupted triplet belong to the respective entity set so that the corrupted triplets that do not conform to the responding semantic relations are excluded. To evaluate the proposed model, we conduct link prediction and triple classification on WordNet and Freebase databases. The experimental results show that our method remarkably improves the performance compared to several state-of-the-art baselines. © 2017, Ubiquitous International. All rights reserved.

关键词： Classification (of information)

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Self-constructing clusters in dynamic heterogeneous multi typed network

Self-constructing clusters in dynamic heterogeneous multi ty...

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International Conference on (ISCO) Intelligent Systems and Control

作者： M. Balamurugan L. Visalatchi Department of Information Technology Dr. Umayal Ramanathan College for Women Karaikudi India Department of Computer Science Engineering & Applications Bharathidasan University Tiruchy India

ISBN: (纸本)9781467378086

As dynamic networks such as social and information networks are more ubiquitous, clustering the data on the networks can provide the structure of data in various different models. As well clustering the data in different time windows dynamically, provide the evolution behavior which helps in analyzing the features of the network. For example in the information network such as DBLP which contains multiple types of objects such as author, paper, conference and terms, clustering gives us overall view of evolutionary structure such as continue, merge, split, appearance and disappearance of the multiple objects in heterogeneous networks. In this paper we use Probabilistic generative model along with conditional probability, to generate efficient clusters. The number of clusters is not predefined as well it is not fixed and a prior parameter is added to define the number of clusters dynamically.

关键词： ubiquitous computing evolutionary computation pattern clustering probability Cluster Analysis Information Network evolutionary algorithm Ubiquitous computing networked information dynamic network Heterogeneous networks Conditional probability

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eSeniorCare: Technology for Promoting Well-Being of Older Adults in Independent Living Facilities

eSeniorCare: Technology for Promoting Well-Being of Older Ad...

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IEEE International Conference on Healthcare Informatics (ICHI)

作者： Dipanwita Dasgupta Kimberly Green Reeves Beenish Chaudhry Mayra Duarte Nitesh V. Chawla Department of Computer Science and Engineering Interdisciplinary Center for Network Science and Applications University of Notre Dame Notre Dame IN Community Health Enhancement Memorial Hospital of South Bend South Bend IN USA

ISBN: (纸本)9781509061181

The aging population (seniors) maintains a strong desire to remain independent as long as possible while maintaining their physical health and emotional well-being. We have witnessed a growth in technological solutions delivered as Apps on mobile devices for health and wellness. However, several challenges remain in their application to assist seniors in the dimensions of health and wellness. They fail to provide sufficient connectivity and a level of usability that is appropriate for seniors. To that end, we are developing a tablet-based application, eSeniorCare, to integrate various components of health and wellbeing targeting successful aging. Our design and development followed an iterative process involving feedback from the participants. We conducted a 31-week study of the application with 16 participants at an independent facility in collaboration with Memorial Hospital of South Bend. Our study found that through the use of the application, participants demonstrated improved technological health management skills and decreased risk for depression, suggesting that eSeniorCare represents an important step toward improving senior care and quality of life.

关键词： Aging Usability Portals Medical diagnostic imaging Hospitals Maintenance engineering

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Multiple hierarchical decision on neural network to predict human age and gender

Multiple hierarchical decision on neural network to predict ...

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International Conference on Emerging Trends in engineering, Technology and science (ICETETS)

作者： M R Dileep Ajit Danti Department of Computer Science Alva's College A unit of Alva's Education Foundation Moodbidri Karnataka India Department of Computer Applications Jawaharlal Nehru National College of Engineering Shimoga Karnataka India

A person's face provides a lot of information such as age, gender and identity. Faces plays an important role in the estimation/prediction of the age and gender of persons, just by looking at their face. Perceiving human faces and modeling the distinctive features of human faces that contribute most towards face recognition are some of the challenges faced by computer vision and psychophysics researchers. In this research, an attempt is made to classify human age and gender using Multiple Hierarchical decision based on Neural Networks. Now a days, Artificial Neural Network (ANN) has been widely used as a tool for solving many decision modeling problems. In this paper, a feed forward propagation Neural Networks are constructed for human age and gender classification system for gray-scale facial images. Three age groups including Children, Middle-aged adults and Old aged adults and Two gender groups including Male and Female are used in the classification system. The performance of the system is further improved by employing Multiple Hierarchical decision using 3 Sigma Control Limits applied on the output of the Neural Network classifier. The efficiency of the system is demonstrated through the experimental results using benchmark database images.

关键词： Face Aging Biological neural networks Databases Classification algorithms Standards

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Affordable dual-sensing proximity sensor for touchless interactive systems

Affordable dual-sensing proximity sensor for touchless inter...

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Device Research Conference

作者： Joanna M. Nassar Marlon C. Diaz Muhammad M. Hussain Integrated Nanotechnology Lab (INL) and Integrated Disruptive Electronic Applications (IDEA) Lab Computer Electrical Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

ISBN: (纸本)9781509028290

We report an ultra-low cost flexible proximity sensor using only off-the-shelf recyclable materials such as aluminum foil, napkin and double-sided tape. Unlike previous reports, our device structure exhibits two sensing capabilities in one platform, with outstanding long detection range of 20 cm and pressure sensitivity of 0.05 kPa -1 . This is the first ever demonstration of a low-cost, accessible, and batch manufacturing process for pressure and proximity sensing on a singular platform. The mechanical flexibility of the sensor makes it possible to mount on various irregular platforms, which is vital in many areas, such as robotics, machine automation, vehicular technology and inspection tools.

关键词： Robot sensing systems Sensitivity Capacitance Aluminum Fabrication

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Multiple network blasts - Malicious catching and defect node retrieval system

Multiple network blasts - Malicious catching and defect node...

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IEEE International Conference on Innovation, Information in Computing Technologies, ICIICT 2015

作者： Rajalakshmi, A. Umamaheswari, M. Department of Computer Applications Dhanalakshmi College of Engineering Chennai India Computer Science Department and Engineering RRase Engineering College Chennai India

ISBN: (纸本)9781479987887

Wireless multiple blasts like sybil blast, worm hole blast, black hole blast, Internet Protocols address faking blast and Mac address faking blast are easy to launch and can significantly impact the performance of networks. Although the identity and security of a node can be verified through various security mechanisms are not always suitable to improve the wireless network performance and fault node cannot be easily recover from the blasts. In this paper, I propose to use distributed detection algorithm to efficiently measure the performance of networks and handle those blasts in accurate and separate manner. In extension to distributed detection algorithm a three separate intrusion detection system is proposed to detect these types of blasts efficiently with good accuracy. Local monitoring algorithm is proposed to detect the multiple blasts. After detecting these blasts the blaster nodes are eliminated. The simulation result shows better performance of our proposed system. I evaluated our techniques through two test beds in two different networks. Our experimental results show that our proposed methods can achieve over 96 percent Hit Rate and Precision when determining the sybil blast, worm hole blast, black hole blast, Internet Protocols address faking blast and medium access control address faking blast. © 2015 IEEE.

关键词： Intrusion detection

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An improved adaptive genetic algorithm for function optimization

An improved adaptive genetic algorithm for function optimiza...

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International Conference on Information and Automation (ICIA)

作者： Congrui Yang Qian Qian Feng Wang Minghui Sun Yunnan Key Laboratory of Computer Technology Applications Kunming University of Science and Technology Kunming Yunnan China Engineering of Ministry of Education Jilin University Changchun Jilin China

ISBN: (纸本)9781509041039

Function optimization based on traditional genetic algorithm is easy to fall into local extremum, so that adaptive genetic algorithm is proposed to solve this problem. However, traditional adaptive genetic algorithm has some disadvantages, such as low efficiency and instability. This study presents an improved adaptive genetic algorithm. Specifically, the crossover probability and the mutation probability were dynamically adjusted according to the concentrating and dispersing degree of the fitness values of the whole populations. In complex function optimization problems, the result of the simulation shows that the improved adaptive genetic algorithm has a great improvement in many aspects of the global optimization, such as the convergence rate, the optimal solution and the stability.

关键词： Genetic algorithms Decision support systems Conferences Automation Handheld computers Indexes

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Tagging event image set using face identification

Tagging event image set using face identification

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IEEE International Conference on Soft-Computing and Network Security, ICSNS 2015

作者： Hanumanthappa, M. Regina Lourdhusuganthi, S. Karthik, S. Department of Computer Science and Applications Bangalore University India Department of Computer Science and Engineering SNS College of Technology Coimbatore India

ISBN: (纸本)9781479917525

Events are organized by various Institutions round the year to encourage and enhance skills in academic and non-Academic horizons. These events include seminar, workshop, cultural fest, product launch and the like. Event venues host digital devices to capture the proceedings. These devices generateenormous Video and Image data. These events are documented for auditing, evaluation and for future reference. Tagging these images based on the content and event context would facilitate and fasten the retrieval of these images. The tagged images could then be accessed based on a query. The objects of interest for tagging would include important personalities and key objects that describe a scene. Face detection based on training data set at large would aid in identifying persons. © 2015 IEEE.

关键词： Digital devices

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