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A general accelerated R package using GPU

A general accelerated R package using GPU

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IEEE international conference on Smart City

作者： Jie Huang Bojin Zhuang Fei Su School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509018949

In this paper, we present cuLib, a R package that provides an easy-to-access interface for utilizing the computing power of NVIDIA GPU. the cuLib package aims to make GPU-based parallel programming easier, flexible and high-performance. It allows the use of GPU computing in R without further knowledge because the syntax for definition and manipulation of GPU data is similar to formal R language. cuLib is compatible with device and operation system. the data interface is very flexible, enabling the users manipulate data freely. the cuLib package provides an R wrapper for libraries of NVIDIA's CUDA toolkit and numerous operations. More importantly, it is not only a mathematical tool but also practicable for the algorithm in dealing with data intensive computation.

关键词： R GPU CUDA Mathematical tool Data intensive computing

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SpaceViz:Visualization Tool for the Computer Storage Big-data

SpaceViz:Visualization Tool for the Computer Storage Big-dat...

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IEEE international conference on Smart City

作者： J. Joshua thomas Ahamad Tajudin Khader Bahari Belaton Department of Computing School of Engineering Science and Technology KDU University College Penang School of Computer Sciences University Sains Malaysia

ISBN: (纸本)9781509018949

this paper presents SpaceViz, an information visualization tool designed for depicting hierarchies, such as directory structures. SpaceViz has scanned, map and manage PC, network and cloud storage of multimedia data. Classical, space-filling squarified techniques are used as methodology, but differ from Tree-map single view in that it employs multiple views in two-dimensional space, which is used to more clearly the structural relationships of data from colour code and pattern based hierarchy. the paper includes an empirical study comparing SpaceViz and Tree-map. the study shows the participants perform significantly better to interact with multiple file formats using SpaceViz.

关键词： Information Visualization Tree-maps Computer Storage Big-data

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An Elastic Data Persisting Solution with High Performance for Spark

An Elastic Data Persisting Solution with High Performance fo...

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IEEE international conference on Smart City

作者： Zhipeng Jiang Haopeng Chen Huan Zhou Jenny Wu School of Software Shanghai Jiao Tong University Data Center Group Intel Asia-Pacific R&D Ltd. Research and Development Cornerstone Research

ISBN: (纸本)9781509018949

With the increasing popularity of in-memory computing, Spark [1] has been highly successful in implementing large scale data intensive applications, especially for those that reuse data across multiple parallel operations. However due to the fact that Moore's Law has slowed down and memory resources are still costly, we presented an elastic data persisting solution for Spark, which enables data compression to save more heap space for JVM and reducing disk I/O throughput for faster data access. We mathematically derived the criteria for selecting the optimal data compression and persisting plan. Our evaluation of the preliminary prototype of this elastic data persisting solution shows that it can provide resource management recommendations by accounting for input data type, memory space and CPU resource, and can consistently yield high performance that accelerates Spark up to 6×.

关键词： Spark In-memory computing Data Compression Data Persisting Data Caching

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A topic-level privacy preserving search in the medical field

A topic-level privacy preserving search in the medical field

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IEEE international conference on Smart City

作者： Meng Tian Jianqiang Li Xi Meng Rong Li Jing Bi Juan Li Yu Zhao Bo Liu School of Software Engineering Beijing University of Technology People's Public Security University of China NEC Labs

ISBN: (纸本)9781509018949

With the explosive growth of medical information, the users not only query information efficiently and accurately, but also pay attention to the information of sensitivity and privacy. In medical domains, the current privacy preserving methods either use the technology of Access Control List, or need to prepare training documents for each privacy policy. However, it is a time-consuming and impractical way for data owners to assign a privacy policy on each document. In this paper, by exploiting the privacy medical queries, we propose a novel approach based on semantic and ontology to achieve the topic-level privacy preserving search. With the support of them, we first mine all the potential hierarchy and semantics from a user query and acquire sensitive terms relative to privacy policies automatically without training documents.

关键词： Privacy and access control for cloud computing Medical information retrieval Ontology LSA

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Artificial Intelligence based Facial Emotion Recognition with Deep Neural GAN Augmentation

Artificial Intelligence based Facial Emotion Recognition wit...

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international conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： D. Menaka D. Karthika Priya C. Reeda Lenus A Ashwini P. Josephin Shermila Banu Priya Prathaban Department of Electronics and Instrumentation Engineering Noorul Islam Centre for Higher Education Kumaracoil India Department of Artificial Intelligence and Data Science Easwari Engineering College Ramapuram Chennai India Department of Physics S.A.Engineering College Chennai India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Artificial Intelligence and Data Science R.M.K.College of Engineering and Technology Chennai India Department of Networking and Communication School of computing SRM institute of Science and Technology Kattankulathur Chennai India

ISBN: (数字)9798350367904

ISBN: (纸本)9798350367911

Facial recognition system in computer vision is widely used in human-computer interface and clinical diagnostics. Nonetheless, achieving high accuracy in this task still poses a challenge due to issues of inadequate amount and imbalance of data to train the models as well as issues of generalization and robustness. the findings of this research propose the use of Generative Adversarial Network (GAN) data augmentation for face emotion classification specifically for this approach. the proposed strategy is based on the generation of artificial ‘emotional’ images on the face using Deep Neural Self Attention GANs (DNSAGANs). this way, to capture all the variations of facial expressions the GAN takes a large number of images and thus makes the augmented data richer and more realistic. this larger data set is then used to train a deep learning architecture that performs the face emotion classification thereby enabling the network to learn enhanced discriminative features. To collect face photos the FER2013 dataset is used. the training process, entrained the generator and discriminator to minimize the mean squared error while the discriminator was simultaneously trained to robustly distinguish generated images from real ones. Altogether, the proposed Adam optimizer was more accurate than Adagrad and Adadelta for all epochs. the percentage of accuracy is about $88.64 \%$ for 100 epochs using the proposed optimizer techniques.

关键词： Training Emotion recognition Adaptation models Accuracy Face recognition Computational modeling Generative adversarial networks Data models Robustness Time complexity

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Evaluation of a Multi-Antenna Switched Link-based Network Architecture for Quasi-stationary Vehicle Network

Evaluation of a Multi-Antenna Switched Link-based Network Ar...

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international Wireless Communications and Mobile computing conference

作者： Ratul K. Guha Jasmine Chennikara-Varghese Wai Chen Telcordia Technologies Inc. U.S.A ASTRI Hong Kong

ISBN: (纸本)9781457713781

In recent years, there have been significant research efforts related to vehicle to vehicle (V2V) communication. V2V communication was originally targeted for safety-related applications but interest in other possible application areas including communication support for traffic management has increased. this paper describes a system architecture that can provide high throughput and rapid data dissemination in vehicular networks. While vehicle mobility results in frequent routing changes, we expect that in a highway scenario vehicles will maintain relative positions and speeds for some time resulting in a quasi-stationary network configuration. the proposed approach system is intended to be robust and work with a very simple protocol specification taking advantage of the quasi-stationary behavior of vehicle networks. It also addresses some of the major concerns facing multi-hop vehicular communication. We previously proposed an architectural framework for achieving a vehicle network that employs dynamically switched directional links [30]. In this article we provide preliminary simulations results that highlight the scalability, reliability and latency benefits provided by the switched directional links for a given baseline vehicle configuration emulating a quasi-stationary network. A significant improvement in metrics such as PDR and latency is observed.

关键词： Vehicle-to-vehicle networking Switched directional links

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Compadres: a lightweight component middleware framework for composing distributed real-time embedded systems with real-time Java 2007

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Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware

作者： Jie Hu Shruti Gorappa Juan A. Colmenares Raymond Klefstad Department of Electrical Engineering and Computer Science University of California Irvine CA Department of Electrical Engineering and Computer Science University of California Irvine CA and Applied Computing Institute College of Engineering University of Zulia

ISBN: (纸本)9783540767770

Component frameworks simplify development of enterprise systems and enable code reuse, but most frameworks are unpredictable and hence unsuitable for embedded or real-time systems. Similarly, Java is increasingly being used to build embedded system software because of its portability and ease of use. the Real-Time Specification for Java (RTSJ) reduces the unpredictability in Java execution times by eliminating the need for a garbage collector. However, it introduces programming complexity that makes it difficult to build non-trivial applications. To bring the advantages of Java component development to DRE systems, while simultaneously simplifying the use of RTSJ, therefore, we have developed a new lightweight component model for RTSJ called Compadres. Compadres offers the following advantages: 1) Simple component definition in Java that abstracts away RTSJ memory management complexity; 2) System assembly from components by connecting ports that communicate through strongly-typed objects; 3) the Compadres compiler that automatically generates the scoped memory architecture for components, while the component framework handles communication between the components. To validate this work, we construct a non-trivial example application using the component framework, a simple real-time CORBA implementation. We then analyze the performance and efficiency of our component example versus a non-component example, RTZen. Our measurements show that our Compadres example built with components incurs only minor time overhead as compared to a comparable hand-coded example.

关键词： middleware RTSJ real-time java component framework

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the next generation neutrino telescope: IceCube-Gen2 38

The next generation neutrino telescope: IceCube-Gen2

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Abbasi, R. Ackermann, M. Adams, J. Agarwalla, S.K. Aguilar, J.A. Ahlers, M. Alameddine, J.M. Amin, N.M. Andeen, K. Anton, G. Argüelles, C. Ashida, Y. Athanasiadou, S. Audehm, J. Axani, S.N. Bai, X. Balagopal, A.V. Baricevic, M. Barwick, S.W. Basu, V. Bay, R. Becker Tjus, J. Beise, J. Bellenghi, C. Benning, C. BenZvi, S. Berley, D. Bernardini, E. Besson, D.Z. Bishop, A. Blaufuss, E. Blot, S. Bohmer, M. Bontempo, F. Book, J.Y. Borowka, J. Boscolo Meneguolo, C. Böser, S. Botner, O. Böttcher, J. Bouma, S. Bourbeau, E. Braun, J. Brinson, B. Brostean-Kaiser, J. Burley, R.T. Busse, R.S. Butterfield, D. Campana, M.A. Carloni, K. Carnie-Bronca, E.G. Cataldo, M. Chattopadhyay, S. Chau, N. Chen, C. Chen, Z. Chirkin, D. Choi, S. Clark, B.A. Clark, R. Classen, L. Coleman, A. Collin, G.H. Conrad, J.M. Cowen, D.F. Dasgupta, B. Dave, P. Deaconu, C. De Clercq, C. De Kockere, S. DeLaunay, J.J. Delgado, D. Deng, S. Deoskar, K. Desai, A. Desiati, P. de Vries, K.D. de Wasseige, G. DeYoung, T. Diaz, A. Díaz-Vélez, J.C. Dittmer, M. Domi, A. Dujmovic, H. DuVernois, M.A. Ehrhardt, T. Eller, P. Ellinger, E. El Mentawi, S. Elsässer, D. Engel, R. Erpenbeck, H. Evans, J. Evans, J.J. Evenson, P.A. Fan, K.L. Fang, K. Farrag, K. Farrag, K. Fazely, A.R. Fedynitch, A. Feigl, N. Fiedlschuster, S. Finley, C. Fischer, L. Flaggs, B. Fox, D. Franckowiak, A. Fritz, A. Fujii, T. Fürst, P. Gallagher, J. Ganster, E. Garcia, A. Gerhardt, L. Gernhaeuser, R. Ghadimi, A. Giri, P. Glaser, C. Glauch, T. Glüsenkamp, T. Goehlke, N. Goswami, S. Grant, D. Gray, S.J. Gries, O. Griffin, S. Griswold, S. Guevel, D. Günther, C. Gutjahr, P. Haack, C. Haji Azim, T. Hallgren, A. Halliday, R. Hallmann, S. Halve, L. Halzen, F. Hamdaoui, H. Ha Minh, M. Hanson, K. Hardin, J. Harnisch, A.A. Hatch, P. Haugen, J. Haungs, A. Heinen, D. Helbing, K. Hellrung, J. Hendricks, B. Henningsen, F. Henrichs, J. Heuermann, L. Heyer, N. Hickford, S. Hidvegi, A. Hignight, J. Hill, C. III. Physikalisches Institut RWTH Aachen University AachenD-52056 Germany Department of Physics University of Adelaide Adelaide5005 Australia Dept. of Physics and Astronomy University of Alaska Anchorage 3211 Providence Dr. AnchorageAK99508 United States Dept. of Physics University of Texas at Arlington 502 Yates St. Science Hall Rm 108 Box 19059 ArlingtonTX76019 United States CTSPS Clark-Atlanta University AtlantaGA30314 United States School of Physics Center for Relativistic Astrophysics Georgia Institute of Technology AtlantaGA30332 United States Dept. of Physics Southern University Baton RougeLA70813 United States Dept. of Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Institut für Physik Humboldt-Universität zu Berlin BerlinD-12489 Germany Fakultät für Physik & Astronomie Ruhr-Universität Bochum BochumD-44780 Germany Université Libre de Bruxelles Science Faculty CP230 BrusselsB-1050 Belgium Dienst ELEM BrusselsB-1050 Belgium Department of Physics Laboratory for Particle Physics and Cosmology Harvard University CambridgeMA02138 United States Dept. of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Dept. of Physics The International Center for Hadron Astrophysics Chiba University Chiba263-8522 Japan Department of Physics Loyola University Chicago ChicagoIL60660 United States Dept. of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Dept. of Physics University of Chicago ChicagoIL60637 United States Enrico Fermi Institute University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Dept. of Physics and Astronomy University of Canterbury Private Bag 4800 Christchurch New Zealand Dept. of Physics University of Maryland College ParkMD20742 United States Dept. of Astronomy Ohio Sta

the IceCube Neutrino Observatory, a cubic-kilometer-scale neutrino detector at the geographic South Pole, has reached a number of milestones in the field of neutrino astrophysics: the discovery of a high-energy astrophysical neutrino flux, the temporal and directional correlation of neutrinos with a flaring blazar, and a steady emission of neutrinos from the direction of an active galaxy of a Seyfert II type and the Milky Way. the next generation neutrino telescope, IceCube-Gen2, currently under development, will consist of three essential components: an array of about 10,000 optical sensors, embedded within approximately 8 cubic kilometers of ice, for detecting neutrinos with energies of TeV and above, with a sensitivity five times greater than that of IceCube;a surface array with scintillation panels and radio antennas targeting air showers;and buried radio antennas distributed over an area of more than 400 square kilometers to significantly enhance the sensitivity of detecting neutrino sources beyond EeV. this contribution describes the design and status of IceCube-Gen2 and discusses the expected sensitivity from the simulations of the optical, surface, and radio components. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Telescopes

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