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The critical thinking effect of the computer simulation in the physics teaching and learning

Journal of Physics: conference Series 2019年第3期1157卷

作者： D Sulisworo T Handayani D A Kusumaningtyas Program Studi Pendidikan Fisika Universitas Ahmad Dahlan Jl. Kapas No. 9 Yogyakarta 55164 Indonesia Program Studi Pendidikan Biologi Universitas Ahmad Dahlan Jl. Kapas No. 9 Yogyakarta 55164 Indonesia

Critical thinking skills (CTS) are essential learning outcomes. The development of computer simulation applications is so fast need to be utilized in learning for improving CTS. This study aims to find out the effect of computer simulation, in this case, PhET simulation to the CTS in physics learning for the subject of Work and Energy. This study was conducted on 8th-grade high school students in Yogyakarta, Indonesia. The research method used was posttest only controlled group design. The control group and treatment group each consisted of 32 students. The learning for the treatment group was arranged in the form of a practicum using PhET simulation for 10 hours conducted in 5 meetings. The CTS was measured with essays covering five questions that had been tested for item discrimination, the degree of difficulty, validity, and reliability. The analysis technique used was ANOVA with the margin of error of 5%. The results of this study show that learning performance (CTS) by using computer simulation tends to better (77.89) compared with conventional learning (64.75) after the learning process.

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CFD modeling of US army UAVs using NASA’s OVERFLOW CFD code 55

CFD modeling of US army UAVs using NASA’s OVERFLOW CFD code

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55th AIAA Aerospace Sciences Meeting

作者： Hall, Zachary M. United States Army Aviation & Missile Research Development & Engineering Center Aerodynamics Technology Branch Redstone Arsenal AL35898 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

Since 2010, the United States Army Aviation & Missile Research, Development, & Engineering Center (AMRDEC) has supported Project Manager Unmanned Aircraft Systems (PM UAS) programs of record (POR), namely the Shadow RQ-7B & RQ-7B IE (short wing and Rewing variants respectively), RQ-11 Raven, and MQ-1C Gray Eagle, with high fidelity aerodynamics predictions. These efforts have leveraged the National Aeronautics and Space Administration (NASA) OVERFLOW computational fluid dynamics (CFD) code to support performance predictions and payload integration studies. © 2017, American Institute of Aeronautics and Astronautics Inc. All rights reserved.

关键词： Computational Fluid Dynamics CFD Codes Aerodynamic Coefficients Unmanned Aircraft System National Aeronautics and Space Administration Aviation Landing Gear Boundary Layer Separation computer Aided Design high performance Computing

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A VISUAL SALIENCY-BASED METHOD FOR AUTOMATIC LUNG REGIONS EXTRACTION IN CHEST RADIOGRAPHS 14

A VISUAL SALIENCY-BASED METHOD FOR AUTOMATIC LUNG REGIONS EX...

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14th IEEE International computer conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

作者： Li, Xin Chen, Leiting Chen, Junyu Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Sichuan Peoples R China Johns Hopkins Univ Dept Elect & Comp Engn Baltimore MD 21218 USA

ISBN: (纸本)9781538610091

Extracting lung regions accurately from a chest X-ray is an important procedure in computer-aided lung disease diagnosis. The shape and size of lungs may hold clues to serious diseases such as pneumothorax, pneumoconiosis and even emphysema. However, the precise extraction of lungs from a X-ray is still very difficult at the moment. In this paper, we propose a novel method of detecting the lung regions in chest radiographs. It is based on the observation that the lung fields in X-ray images well stand out against the background which makes them salient regions. According to our method, a X-ray image of lung is firstly segmented into several small subregions through graph-based segmentation. Then we detect the salient value of each sub-region using a global contrast function. The lung region can be estimated based on the salient values of each sub-region. Finally, cubic spline interpolation is used to obtain smoother boundaries by refining the results. In the experiment, we built a Lung Region Location model including 147 randomly selected chest X-ray images from the JSRT dataset and used the remaining 100 images in it to test our method. The results demonstrate that our method achieved state-of-the-art performance.

关键词： Biomedite Medical image analysis Salient region detection computer vision Lung segmentation

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A high-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support 41

A High-Level DSL for Geospatial Visualizations with Multi-co...

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41st IEEE Annual computer Software and Applications conference (COMPSAC)

作者： Ledur, Cleverson Griebler, Dalvan Manssour, Isabel Fernandes, Luiz Gustavo Pontificia Univ Catolica Rio Grande do Sul Fac Informat Comp Sci Grad Program Ave Ipiranga 6681 BR-90619900 Porto Alegre RS Brazil

ISBN: (纸本)9781538603673

The amount of data generated worldwide associated with geolocalization has exponentially increased over the last decade due to social networks, population demographics, and the popularization of Global Positioning Systems. Several methods for geovisualization have already been developed, but many of them are focused on a specific application or require learning a variety of tools and programming languages. It becomes even more difficult when users have to manage a large amount of data because state-of-the-art alternatives require the use of third-party pre-processing tools. We present a novel Domain-Specific Language (DSL), which focuses on large data geovisualizations. Through a compiler, we support automatic visualization generations and data pre-processing. The system takes advantage of multi-core parallelism to speed-up data pre-processing abstractly. Our experiments were designated to highlight the programming effort and performance of our DSL. The results have shown a considerable programming effort reduction and efficient parallelism support with respect to the sequential version.

关键词： Data visualization DSL Geospatial analysis Parallel processing Tools Accidents programming

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Vivado Design Interface: An Export/Import Capability for Vivado FPGA Designs 27

Vivado Design Interface: An Export/Import Capability for Viv...

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27th International conference on Field programmable Logic and Applications (FPL)

作者： Townsend, Thomas Nelson, Brent Brigham Young Univ Dept Elect & Comp Engn NSF Ctr High Performance Reconfigurable Comp CHRE Provo UT 84602 USA

ISBN: (纸本)9789090304281

Research tools targeting commercial FPGAs have most commonly been based on the Xilinx Design Language (XDL). Vivado, however, does not support XDL, preventing similar tools from being created for next-generation devices. Instead, Vivado includes a Tcl interface that exposes Xilinx's internal design and device data structures. Considerable challenges still remain to users attempting to leverage this Tcl interface to develop external CAD tools. This paper presents the Vivado Design Interface (VDI), a set of file formats and Tcl functions that address the challenges of exporting and importing designs to and from Vivado. To demonstrate its use, VDI has been integrated with RapidSmith2, an external FPGA CAD framework. To our knowledge this work is the first successful attempt to provide an open-source tool-flow that can export designs from Vivado, manipulate them with external CAD tools, and re-import an equivalent representation back into Vivado.

关键词： Tools computer architecture Routing Microprocessors Field programmable gate arrays Pins Wires

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A tool to convert CAD models for importation into Geant4 22

A tool to convert CAD models for importation into Geant4

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22nd International conference on Computing in high Energy and Nuclear Physics, CHEP 2016

作者： Vuosalo, C. Carlsmith, D. Dasu, S. Palladino, K. University of Wisconsin-Madison United States

The engineering design of a particle detector is usually performed in a computer Aided Design (CAD) program, and simulation of the detector's performance can be done with a Geant4-based program. However, transferring the detector design from the CAD program to Geant4 can be laborious and error-prone. SW2GDML is a tool that reads a design in the popular SOLIDWORKS CAD program and outputs Geometry Description Markup Language (GDML), used by Geant4 for importing and exporting detector geometries. Other methods for outputting CAD designs are available, such as the STEP format, and tools exist to convert these formats into GDML. However, these conversion methods produce very large and unwieldy designs composed of tessellated solids that can reduce Geant4 performance. In contrast, SW2GDML produces compact, human-readable GDML that employs standard geometric shapes rather than tessellated solids. This paper will describe the development and current capabilities of SW2GDML and plans for its enhancement. The aim of this tool is to automate importation of detector engineering models into Geant4-based simulation programs to support rapid, iterative cycles of detector design, simulation, and optimization. © Published under licence by IOP Publishing Ltd.

关键词： computer aided design

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Configuring Concurrent Computation of Phylogenetic Partial Likelihoods: Accelerating Analyses Using the BEAGLE Library 17th

Configuring Concurrent Computation of Phylogenetic Partial L...

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17th International conference on Algorithms and Architectures for Parallel Processing (ICA3PP)

作者： Ayres, Daniel L. Cummings, Michael P. Univ Maryland Ctr Bioinformat & Computat Biol College Pk MD 20742 USA

ISBN: (纸本)9783319654829;9783319654812

We describe our approach in augmenting the BEAGLE library for high-performance statistical phylogenetic inference to support concurrent computation of independent partial likelihoods arrays. Our solution involves identifying independent likelihood estimates in analyses of partitioned datasets and in proposed tree topologies, and configuring concurrent computation of these likelihoods via CUDA and opencL frameworks. We evaluate the effect of each increase in concurrency on throughput performance for our partial likelihoods kernel for a four-state nucleotide substitution model on a variety of parallel computing hardware, such as NVIDIA and AMD GPU5, and Intel multicore cPus, observing up to 16-fold speedups over our previous implementation. Finally, we evaluate the effect of these gains on an domain application program, MrBayes. For a partitioned nucleotide-model analysis we observe an average speedup for the overall run time of 2.1-fold over our previous parallel implementation, and 10-fold over the native MrBayes with SSE.

关键词： Bayes methods Biology computing Evolution (biology) Phylogeny Maximum likelihood estimation Multicore processing Parallel programming high performance computing

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Revisiting inter-AS IP Spoofing Let the Protection Drive Source Address Validation 36

Revisiting inter-AS IP Spoofing Let the Protection Drive Sou...

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36th IEEE International performance, Computing, and Communications conference (IPCCC)

作者： Jia, Yihao Liu, Ying Ren, Gang He, Lin Tsinghua Univ Inst Network Sci & Cyberspace Beijing 100084 Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

ISBN: (纸本)9781509064687

IP spoofing, which is prevalently used for anonymity and reflection attacks, has shown increasing destructive power in recent years. Although certain source address validation solutions have been standardized by the Internet Engineering Task Force, few networks are willing to adopt them in view of the deficiency of deployment benefits. Actually, all the source address validation solutions face the problem of a lack of deployability. In this paper, we summarize the key points describing deployability and propose a new security service-inter-autonomous-system (AS) Source Address Protection (iSAP). Technically, by increasing the possibility of keeping the source address belonging to one AS from being the victim of reflection flooding, iSAP improves the deployers ability to prevent IP spoofing and increases incremental deployability. In reality, such a service can also be regarded as a new profit opportunity for ASes and it could progress gradually once it is well commercialized. Based on simulations with real Internet topology data, the results illustrate that iSAP can protect ASes from being reflected with only a few deployers, exhibiting a high potential to mitigate reflection flooding with modest resource consumption.

关键词： IP networks Servers computer crime Internet Task analysis Force

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high performance Stand-alone Structured Light 3D Camera for Smart Manipulators 14

High Performance Stand-alone Structured Light 3D Camera for ...

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14th International conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Anwar, Inzamam Lee, Sukhan Sungkyunkwan Univ Coll Informat & Commun Engn Intelligent Syst Res Inst Suwon 16419 South Korea

ISBN: (纸本)9781509030569

This paper presents a structured light stand-alone 3D camera comprised of high speed embedded projector, high frame rate machine vision camera and on-board computer. Hierarchical Orthogonal Coding (HOC) is used for structured light patterns and Boundary Inheritance Codec [3] is used for decoding the HOC patterns. The proposed solution provides highly accurate 3D point cloud with less weight and smaller dimensions as compared to other. Camera provides direct 3D data without the use of any PC or laptop. Camera can achieve a scan speed of 3 Hz and provides an accuracy of 0.2 mm at 75 cm. With small baseline and compact size, 3D camera can be used with smart manipulator and other robotics applications.

关键词： Structured light 3D camera Embedded camera Machine vision Imaging system

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Composite and Multiple Kernel Learning for Brain computer Interface 24th

Composite and Multiple Kernel Learning for Brain Computer In...

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24th International conference on Neural Information Processing (ICONIP)

作者： Miao, Minmin Zeng, Hong Wang, Aimin Southeast Univ Sch Instrument Sci & Engn 2 Sipailou Nanjing 210096 Peoples R China

ISBN: (纸本)9783319700960;9783319700953

high-performance feature engineering and classification algorithms are significantly important for motor imagery (MI) related brain-computer interface (BCI) applications. In this research, we offer a new composite kernel support vector machine (CKSVM) based method to extract significant common spatial pattern (CSP) feature components from multiple temporal-frequency segments in a data-driven manner. Furthermore, we firstly introduce a multiple kernel discriminant analysis (MKDA) method for MI EEG classification. The experimental results on BCI competition IV data set 2b clearly showed the effectiveness of our method outperforming other similar approaches in the literature.

关键词： Brain computer interface Motor imagery Composite kernel support vector machine Multiple kernel discriminant analysis

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