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Web-Based Intelligence for IDS 1

引用

12th International conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019

作者： Freas, Christopher B. Harrison, Robert W. Department of Computer Science Georgia State University Atlanta United States

ISBN: (数字)9783030249007

ISBN: (纸本)9783030248994

We and others have shown that machine learning can detect and mitigate web-based attacks and the propagation of malware. high performance machine learning frameworks exist for the major computer languages used to program both web servers and web pages. This paper examines the factors required to use the frameworks as an effective distributed deterrent. © 2019, Springer Nature Switzerland AG.

关键词： Machine learning

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Early Stage Alzheimer's Disease Diagnosis Method 16

Early Stage Alzheimer's Disease Diagnosis Method

引用

16th International computer conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2019

作者： Memon, Muhammad Hammad Li, Jianping Haq, Amin Ul Memon, Muhammad Hunain University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China University of Science and Technology of China School of Information Science and Technology Hefei China

ISBN: (纸本)9781728142425

The Alzheimer's disease accurate early-stage detection is critically necessary for effective treatment and recovery. Therefore, accurate detection of Alzheimer's disease is a great research problem. Different researchers used various techniques to detect Alzheimer's disease effectively however;these methods still have lack of prediction accuracy. In this study we proposed machine learning-based method to diagnosis Alzheimer's disease accurately. We used machine learning classifiers for accurate prediction of Alzheimer's disease. Alzheimer's Disease Neuroimaging Initiative data set has been used to check the proposed method performance. The experimental results demonstrate that logistic regression performance was excellent in terms of accuracy and achieved optimal accuracy 98.12%.Thus, it is recommended for effective early detection of Alzheimer's Disease. © 2019 IEEE.

关键词： Diagnosis

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Chaotic pilot and synchronization encryption of optical OFDM system based on polar code 21

Chaotic pilot and synchronization encryption of optical OFDM...

引用

21st IEEE International conference on high performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Xiao, Yaoqiang Long, Caixia Cao, Jun Chen, Yating Liu, Yi He, Jing Xiao, Zheng Hunan University College of Computer Science and Electronic Engineering Changsha China

ISBN: (纸本)9781728120584

In this paper, we propose a chaotic pilot and synchronization encryption scheme for optical orthogonal frequency division multiplexing (O-OFDM) system based on polar code. In the chaotic pilot encryption scheme, the pilot structure and the pilot interval are encrypted. In the proposed scheme, the chaotic sequences produced by the three-dimensional Lorenz chaotic system are used to generate the structure of the pilot and the interval of pilot insertion, which can improve the physical layer security (PLS) of the system. Meanwhile, the chaotic sequences are also used to complete the OFDM symbol time synchronization by encrypting the training sequence. In addition, polar code is adopted to reduce the bit error rate (BER) of the system and improve system performance. Compared with the traditional OFDM signal, simulation shows that the BER performance of the system has been improved, and ~8.2dB gain can be reached at BER of 10-3 after 60km standard single-mode fiber (SSMF) transmission. © 2019 IEEE.

关键词： Orthogonal frequency division multiplexing

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Monocular Energy Spectrum using the TAx4 Fluorescence Detector 37

Monocular Energy Spectrum using the TAx4 Fluorescence Detect...

引用

37th International Cosmic Ray conference, ICRC 2021

作者： Potts, Mathew Jui, Charles Abbasi, R.U. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nakazawa, A. Nishio, E. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Oku, Y. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sano, K. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. University of Utah 201 Presidents’ Cir. Salt Lake City United States Department of Physics Loyola University Chicago ChicagoIL United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo Japan Department of Engineering Science Faculty of Engineering Osaka Electro-Communication University Neyagawashi Osaka Japan Department of Physics Chiba University Chiba Chiba Japan Service de Physique ThÃ©orique UniversitÃ© Libre de Bruxelles Brussels Belgium Department of Physics Yonsei University Seodaemun-gu Seoul Korea Republic of Center for Astrophysics and Cosmology

Following the evidence for a hotspot in the arrival directions of the highest energy cosmic rays, the Telescope Array (TA) Experiment undertook the TAx4 upgrade to expand the area of our Surface Detectors (SD) by a factor of 4 and have added new Fluorescence Detector (FD) stations to view over the new SD arrays. Currently, TAx4 consists of 12 FDs and 257 SDs, of a planned 500, at a spacing of 2.08 km spread over two sites. TAx4 North (4 FDs), completed in 2018, views over the northern wing of the new SD, and TAx4 South (8 FDs), completed in 2019, views over the southern wing. Both FD sites are in routine observation, with data being taken remotely at the TAx4 South site. In this work, we will report on the performance of the TAx4 FD, showing data/MC comparisons. We will present a preliminary monocular energy spectrum for the TAx4 fluorescence detector and the progress of the hybrid analysis. © Copyright owned by the author(s).

关键词： Cosmology

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SparsePipe: Parallel Deep Learning for 3D Point Clouds

SparsePipe: Parallel Deep Learning for 3D Point Clouds

引用

International conference on high performance Computing

作者： Keke Zhai Pan He Tania Banerjee Anand Rangarajan Sanjay Ranka Department of Computer and Information Science and Engineering University of Florida University of Florida

We propose SparsePipe, an efficient and asynchronous parallelism approach for handling 3D point clouds with multi-GPU training. SparsePipe is built to support 3D sparse data such as point clouds. It achieves this by adopting generalized convolutions with sparse tensor representation to build expressive high-dimensional convolutional neural networks. Compared to dense solutions, the new models can efficiently process irregular point clouds without densely sliding over the entire space, significantly reducing the memory requirements and allowing higher resolutions of the underlying 3D volumes for better performance. SparsePipe exploits intra-batch parallelism that partitions input data into multiple processors and further improves the training throughput with inter-batch pipelining to overlap communication and computing. Besides, it suitably partitions the model when the GPUs are heterogeneous such that the computing is load-balanced with reduced communication overhead. Using experimental results on an eight-GPU platform, we show that SparsePipe can parallelize effectively and obtain better performance on current point cloud benchmarks for both training and inference, compared to its dense solutions.

关键词： Training Three-dimensional displays Tensors program processors Computational modeling Memory management Distributed databases

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Combination of Test-Driven Development and Behavior-Driven Development for Improving Backend Testing performance 4

Combination of Test-Driven Development and Behavior-Driven D...

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4th International conference on computer Science and Computational Intelligence (ICCSCI) - Enabling Collaboration to Escalate Impact of Research Results for Society

作者： Manuaba, Ida Bagus Kerthyayana Bina Nusantara Univ Fac Comp & Media Comp Sci Program Jakarta Indonesia

In the process of software development, a testing phase is an important step for detecting the errors. In order to produce a reliable application, this paper discusses the utilization of a combination from two different testing methods, Test-Driven Development (TDD) and Behavior Driven Development (BDD). TDD testing method is a process with a high percentage of code which is tested automatically. However, it could lead to an error when the parameters of the features are changed. Meanwhile, the BDD testing method is a testing method that could perform successfully despite changes to the parameters of the features. This paper discusses the combination of TDD and BDD testing methods, which is called as T-BDD method. By implementing T-BDD into the Vixio backend system, this paper successfully shows that it could be performed to achieve a high percentage of test-coverage while it could also adapt when the parameters of the features were changed. This paper also shows that the T-BDD testing method performed better compared to using the TDD testing method only. (C) 2019 The Authors. Published by Elsevier B.V.

关键词： Unit Test Test-Driven Development (TDD) Behavior-Driven Development(BDD) Backend Web Application

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A Novel FPGA-Based high Throughput Accelerator for Binary Search Trees

A Novel FPGA-Based High Throughput Accelerator for Binary Se...

引用

2019 International conference on high performance Computing and Simulation, HPCS 2019

作者： Melikoglu, Oyku Ergin, Oguz Salami, Behzad Pavon, Julian Unsal, Osman Cristal, Adrian TOBB University of Economics and Technology Department of Computer Engineering Ankara Turkey Barcelona Supercomputing Center Computer Architecture for Parallel Paradigms Group Barcelona Spain

ISBN: (纸本)9781728144849

This paper presents a deeply pipelined and massively parallel Binary Search Tree (BST) accelerator for Field programmable Gate Arrays (FPGAs). Our design relies on the extremely parallel on-chip memory, or Block RAMs (BRAMs) architecture of FPGAs. To achieve significant throughput for the search operation on BST, we present several novel mechanisms including tree duplication as well as horizontal, duplicated, and hybrid (horizontal-vertical) tree partitioning. Also, we present efficient techniques to decrease the stalling rates that can occur during the parallel tree search. By combining these techniques and implementations on Xilinx Virtex-7 VC709 platform, we achieve up to 8X throughput improvement gain in comparison to the baseline implementation, i.e., a fully-pipelined FPGA-based accelerator. © 2019 IEEE.

关键词： Forestry

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SwCPD: Optimizing canonical polyadic decomposition on sunway manycore architecture 21

SwCPD: Optimizing canonical polyadic decomposition on sunway...

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作者： Dun, Ming Li, Yunchun Yang, Hailong Li, Wei Luan, Zhongzhi Qian, Depei School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781728120584

Canonical Polyadic Decomposition (CPD) is one of the most popular methods in tensor decomposition and plays an important role in big data analysis. For sparse tensor, the major computation procedure in CPD, known as matricized tensor times Khatri-Rao product (MTTKRP), exhibits discontiguous memory access and becomes the performance bottleneck from achieving high performance on emerging processor architectures. In this paper, we propose swCPD, an efficient CPD implementation on the many-core Sunway architecture. The main idea adopted in swCPD is a hierarchical partitioning mechanism. From the computation perspective, the 64 CPEs are divided into eight groups, each group contains seven workers and one controller. From the data perspective, we partition the sparse tensor into different granularities including blocks, bands and tiles. Moreover, we develop a communication mechanism through register communication for cooperation between CPEs. We evaluate our implementation with both synthesized and real-world datasets, which achieves better performance than two cutting-edge CPD implementations. © 2019 IEEE.

关键词： Tensors

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Bridging the Gap Between Applications and Supercomputing: A New Master's program in Computational Science 5th

Bridging the Gap Between Applications and Supercomputing: A ...

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5th Russian Supercomputing Days conference (RuSCDays)

作者： Meyerov, Iosif Sysoyev, Alexander Pirova, Anna Shestakova, Natalia Ivanchenko, Mikhail Lobachevsky State Univ Nizhni Novgorod Nizhnii Novgorod Russia

ISBN: (纸本)9783030365929;9783030365912

Modern applied science is becoming increasingly interdisciplinary, creating a priority demand for highly qualified scientists and engineers capable of generating new ideas and transferring advanced scientific developments to the industry. Often, breakthrough results arise at the interface of sciences as a result of the coordinated work of specialists from different subject areas. The training of scientists and engineers capable of such activities requires the development of new educational approaches. The article describes a new Master's program in computational science that meets the challenge. The program bridges the gap between computational mathematics and cutting-edge supercomputing technologies, offering an appropriate range of general courses, as well as the set of electives with the possibility of building an individual educational trajectory. The article formulates the main ideas underlying the program, describes the structure of the curriculum, emphasizes the main disciplines, and summarizes the results of training over four years of the program implementation at the Lobachevsky State University of Nizhni Novgorod.

关键词： Interdisciplinary science Master program Computational science Parallel computing high performance computing Education

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Course redesign-Embedding high impact practices (HIPs) in STEM courses

Course redesign-Embedding high impact practices (HIPs) in ST...

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2020 ASEE Virtual Annual conference, ASEE 2020

作者： Gu, Huanying Sertac Artan, N. Dong, Ziqian Amineh, Reza Cao, Houwei McPherson, Sarah College of Engineering and Computing Sciences New YorkNY United States New YorkNY United States New YorkNY United States

high-Impact Practices (HIPs) will ensure that students have access to well-designed, engaging academic experiences. Incorporating HIPs into courses can increase student engagement and learning. The HIPs approach promotes active learning characterized by: a) an emphasis on the interaction of students with their instructor through in-class activities;b) collaborative instruction between the student, the instructor and peers about substantive matters;c) instruction providing heads-on and hands-on experiences;d) frequent feedback and guidance for improvement;and, e) connections of disciplinary content and applications of knowledge and skills to real-world problems. However, HIPs can only make a difference if the faculty are equipped with the proper pedagogical tools to adopt them in their classrooms. To support the faculty in developing HIPs in their courses, the New York Institute of Technology Center for Teaching and Learning conducted a 5-day summer Course Redesign Institute. During the Institute, participating faculty members reimagined their courses from the learner's point of view and redesigned them to promote significant and enduring learning. In this paper, we describe the multi-step process for course design and the spiral approach for course redesign. Lessons learned from previous semesters are incorporated into any needed redesign and/or refinements of the HIPs as part of the process for updating each course syllabus each semester. Two courses serve as examples to demonstrate how to implement HIPs in basic STEM engineering courses. © American Society for Engineering Education 2020.

关键词： Students

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