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20th Australasian Computing Education Conference, ACE 2018

作者： De Ruvo, Giuseppe Tempero, Ewan Rowe, Gerard B. Giacaman, Nasser Dep. of Electrical and Computer Engineering University of Auckland Auckland New Zealand Andrew Luxton-Reilly Dep. of Computer Science University of Auckland Auckland New Zealand Dep. of Electrical and Computer Engineering University of Auckland Auckland New Zealand

ISBN: (纸本)9781450363402

Good coding style is recognised by the software engineering profession as being important, and this is reflected in the standard computing curricula. Feedback on some aspects of coding style is now commonly provided by IDEs and by tools such as Checkstyle, but this feedback focuses on coding standards that are largely based on syntax. However, some aspects of coding style relate to the semantics of code — of the many ways to achieve some functionality, some are preferred because they are simpler, yet students struggle to create them. In this paper, we introduce the concept of semantic style, and in particular semantic style indicators that may be manifestations of poor knowledge of some programming concepts. We describe 16 semantic style indicators and demonstrate their prevalence in almost 19,000 code samples submitted by over 900 novice students. Half the students submitted code exhibiting two or more of these indicators, demonstrating the potential value to learn by providing feedback on semantic style. We also find many indicators are present in the code of students attending their fourth year of a highly competitive software engineering programme, demonstrating the need for more attention to teaching of semantic style issues.

关键词： Semantics

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Reversible dielectric breakdown in h-BN stacks: a statistical study of the switching voltages

Reversible dielectric breakdown in h-BN stacks: a statistica...

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Annual International Symposium on Reliability Physics

作者： J. B. Roldán D. Maldonado F. Jiménez-Molinos C. Acal J.E. Ruiz-Castro A.M. Aguilera F. Hui J. Kong Y. Shi X. Jing C. Wen M.A. Villena M. Lanza Dep. Electrónica y Tecnología de Computadores Universidad de Granada Granada Spain Dep. Estadística e Investigación Operativa Universidad de Granada Granada Spain Faculty of Materials Science and Engineering Technion – Israel Institute of Technology Haifa Israel Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology MA USA IMEC Leuven Belgium Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou China

ISBN: (数字)9781728131993

ISBN: (纸本)9781728132006

Memristor devices with the Au/Ag/h-BN/Fe structure have been fabricated and characterized. The switching voltages, and other newly-defined parameters extracted, like V 2dmax1 and V 2dmax2 , have been analyzed statistically in an exhaustive manner. The conduction across the memristor can be described well with a Quantum Point Contact (QPC) model that accounts for quantized filamentary conduction. The distributions of set and reset voltages have been proved to be accurately reproduced by using Weibull distributions. We also present an analysis making use of phase-type distributions to characterize the measured data stochasticity.

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Investigation on data augmentation for object detection using deep neural network for traffic signs application 18

Investigation on data augmentation for object detection usin...

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18th International Conference on New Trends in Intelligent software Methodologies, Tools and Techniques, SoMeT 2019

作者： Mohamed Elhawary, Hossamelden Shapiai, Mohd Ibrahim Zamzuri, Hairi Fauzi, Hilman Dep. of Computer Engineering Arab Academy for Science and Technology Cairo Egypt Malaysian Japanese International Institute Universiti Teknologi Malaysia Kuala Lumpur Malaysia MooVita Ptl. Ltd. Malaysia Faculty of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9781643680125

Data augmentation is being widely used to enrich the datasets and enhance the performance of neural network for classification and detection. However most of the recent works focus only on the augmentation for classification. A technique for detection augmentation by template blending has been introduced in the literature. The limitation of blending technique is an extra polygon shape of each object needed to blend with the scene. In this paper we investigate the effect of the geometric transformations for detection augmentation on the Malaysian Traffic Sign Detection (MTSD) datasets. We propose and investigate a new augmentation framework for object detection datasets and train using faster-rcnn with ZF network as a backbone. We measure the Average Precision (AP) as stated in paper [PASCAL VOC] and show the correlation matrix for each class. Our findings show that data augmentation improving the performance for true positive. However, many false positive also occur but decreased by 19.7% after augmentation. © 2019 The authors and IOS Press. All rights reserved.

关键词： Object detection

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FPGA-based OpenCL accelerator for discovering temporal patterns in gene expression data using biclustering 2018

FPGA-based OpenCL accelerator for discovering temporal patte...

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6th International Workshop on Parallelism in Bioinformatics, PBio 2018, held as part of EuroMPI 2018

作者： Duarte, Rui P. Simes, Lvaro Henriques, Rui Neto, Horácio C. INESC-ID Dep. of Computer Science and Engineering Univ. de Lisboa Portugal INESC-ID Dep. of Electrical and Computer Engineering Univ. de Lisboa Portugal

ISBN: (纸本)9781450365314

Biclustering is a prominent task for the analysis of biological data, including gene expression data from microarray experiments or molecular concentrations from mass spectrometry. Biclustering performs simultaneous clustering on biological entities and samples, enabling the discovery of nontrivial regulatory modules with putative biological functions. Although several biclustering algorithms have been proposed, existing algorithms are challenged by efficiency aspects given the inherent NP-hard nature of this task and the high-dimensionality of biological data. This work proposes principles to accelerate state-of-the-art biclustering algorithms, with a focus on the Qualitative BIClustering (QUBIC) algorithm given its inherent efficiency and ability to identify statistically significant biclusters. To this end, this work introduces a parallel architecture for QUBIC based on an heterogeneous system composed by a FPGA and a CPU that communicate through the OpenCL framework. The proposed architecture is sound and surpasses the need for dedicated electronic solutions. Results show a reduction up to 29x in the execution time of the functions accelerated on the FPGA, when compared to a software-only implementation. © 2018 ACM.

关键词： Field programmable gate arrays (FPGA)

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Data Security in Cloud Computing Using Steganography: A Review

Data Security in Cloud Computing Using Steganography: A Revi...

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International Conference on Innovative Trends in computer engineering (ITCE)

作者： Aya Y. AlKhamese Wafaa R. Shabana Ibrahim M. Hanafy Dep. Physics and Engineering Mathematics Port Said University Port Said Egypt Dep. Mathematics and Computer Science Port Said University Port Said Egypt

Cloud computing is one of the largest developments in the field of information technology during recent years. It is a service oriented computing which offers everything as a service via the internet by the pay-as-you-go model. It becomes more desirable for all organizations (such as education, banking, healthcare and manufacturing) and also for personal use as it provides a flexible, scalable, and reliable infrastructure and services. For the user, the most important issue is to store, retrieve and transmit the data over the cloud network and storage in a secure manner. Steganography and cryptography are some of the security techniques applied in the cloud to secure the user data transmitting. The objective of steganography is to hide the existence of communication from the unintended users; whereas cryptography encrypts the data to make it more secure. Steganography is considered as the most effective technique for securing the communication in the cloud. Digital images are most commonly used as a cover medium in steganography. In the literature, there exist several image steganography techniques for hiding information in images; which were developed and implemented in the time domain as well as in the frequency domain. Fundamentals of spatial domain and frequency domain techniques are reviewed in this paper with emphasis on the Least Significant Bit (LSB) and the Discrete Cosine Transform (DCT) techniques.

关键词： Cloud computing Computational modeling Organizations Servers Cryptography Watermarking

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WAVELET ANALYSIS AND ENERGY-BASED MEASURES FOR OIL-FOOD PRICE RELATIONSHIP AS A FOOTPRINT OF FINANCIALISATION EFFECT

arXiv

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arXiv 2021年

作者： Mastroeni, Loretta Mazzoccoli, Alessandro Quaresima, Greta Vellucci, Pierluigi Dept. of Economics Roma Tre University Via Silvio D'Amico 77 Rome00145 Italy Dept. of Civil Engineering and Computer Science University of Rome Tor Vergata Via del Politecnico 1 Rome00133 Italy Dep. of Methods and Models for Economics Territory and Finance University of Rome La Sapienza Via del Castro Laurenziano 9 RM Roma00161 Italy

In this paper we exploit the wavelet analysis approach to investigate oil-food price correlation and its determinants in the domains of time and frequency. Wavelet analysis is able to differentiate high frequency from low frequency movements which correspond, respectively, to short and long run dynamics. We show that the significant local correlation between food and oil is only apparent and this is mainly due both to the activity of commodity index investments and, to a lesser extent, to a growing demand from emerging economies. Moreover, the activity of commodity index investments gives evidence of the overall financialisation process. In addition, we employ wavelet entropy to assess the predictability of the time series under consideration at different frequencies. We find that some variables share a similar predictability structure with food and oil. These variables are the ones that move the most along with oil and food. We also introduce a novel measure, the Cross Wavelet Energy Entropy Measure (CWEEM), based on wavelet transformation and information entropy, with the aim of quantifying the intrinsic predictability of food and oil given demand from emerging economies, commodity index investments, financial stress, and global economic activity. The results show that these dynamics are best predicted by global economic activity at all frequencies and by demand from emerging economies and commodity index investments at high frequencies only. Copyright © 2021, The Authors. All rights reserved.

关键词： Investments

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Optimization of UAS-based high-throughput phenotyping to estimate plant health and grain yield in sorghum

Plant Phenome Journal

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Plant Phenome Journal 2020年第1期3卷

作者： Galli, Giovanni Horne, David W. Collins, S. Delroy Jung, Jinha Chang, Anjin Fritsche-Neto, Roberto Rooney, William L. Dep. of Genetics “Luiz de Queiroz” College of Agriculture Univ. of São Paulo Piracicaba 13418-900 SP Brazil Dep. of Soil and Crop Sciences Texas A&M Univ. College Station 77843 TX United States Lyles School of Civil Engineering Purdue Univ. West Lafayette 47907 IN United States Dep. of Engineering and Computer Science Texas A&M Univ. System Corpus Christi 77840 TX United States

High-throughput phenotyping (HTP) has enabled the acquisition of vast amounts of data. Therefore, finding the most informative phenological stage(s) and high-throughput traits could lead to significant optimization of HTP-assisted selection. An investigation as to when phenotypic data should be collected and how it should be processed from unmanned aerial system (UAS) imagery for the optimization and assessment of two primary traits in grain sorghum [Sorghum bicolor (L). Moench], namely, grain yield and plant health (based on anthracnose scores) was conducted. By evaluating multiple flight dates across the growing season via multispectral UAS-based imagery, a set of scenarios composed of combinations of flight dates and vegetation indices were constructed for analysis. In this sense, results showed no increase in predictive ability when combining multiple vegetation indices. Hence, using only an index with a higher predictive ability (e.g., normalized difference vegetation index (NDVI) or modified simple ratio (MSR) for plant health with 0.75;and any tested index but chlorophyll index (CIg) for grain yield with ∼0.55) is recommended. Likewise, the combining of multiple flights did not result in a significant increase in predictive ability for either primary trait. Thus, we observed that a single flight for each trait (e.g., 121 d after sowing with 0.81 for plant health;104 d after sowing with 0.59 for grain yield) was optimal. Concerning, the predictive algorithms examined, partial least squares regression (PLSR) and neural network, results were similar, with PLSR generally outperforming. In addition, we discuss our findings from an application standpoint of a field-based breeding program and suggest additional optimization options. © 2020 The Authors. The Plant Phenome Journal published by Wiley Periodicals LLC on behalf of American Society of Agronomy and Crop science Society of America

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A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces

A summary of the third workshop on theory-informed user mode...

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2019 Joint ACM IUI Workshops, ACMIUI-WS 2019

作者： Graus, Mark P. Ferwerda, Bruce Tkalčič, Marko Germanakos, Panagiotis School of Business and Economics Maastricht University Maastricht Netherlands Faculty of Computer Science Free University of Bozen-Bolzano Bozen-Bolzano Italy BISS Institute Heerlen Netherlands Dep. of Computer Science University of Cyprus Cyprus Department of Computer Science and Informatics Jönköping University Jönköping Sweden UX ICD Product Engineering Intelligent Enterprise Group SAP SE Walldorf Germany

The third workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE)1 took place in conjunction with the 24th annual meeting of the intelligent user interfaces (IUI)2 community in Los Angeles, CA, USA on March 20, 2019. The goal of the workshop was to attract researchers from different fields by accepting contributions on the intersection of practical data mining methods and theoretical knowledge for personalization. A total of six papers were accepted for this edition of the workshop. © 2019 for the individual papers by the papers’ authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

关键词： User interfaces

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SSAM: A Haskell Parallel Programming STM Based Simple Actor Model

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： Y Kim J Cheon T Hur S Byun G Woo Dep. of Electrical and Computer Engineering Pusan National University Dep. of Computer Science Kyungsung University Smart Control Center of LG Electronics

As computers with manycore architecture are being widely spread, parallel programming becomes a pending issue. While parallel programming has been a challenging issue, Haskell is known to be of the best available one. The immutability and declarative nature of Haskell suit well the need for parallelism. In our previous work, we implemented the SAM, a parallel programming model based on Haskell. In this paper, we propose the SSAM, an updated version of SAM, by solving the performance overhead of SAM socket. We discuss the architecture of SSAM and its major functions and show the 14% scalability upgrade in a performance test.

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Is FFT Fast Enough for Beyond 5G Communications? A Throughput-Complexity Analysis for OFDM Signals

arXiv

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arXiv 2020年

作者： Queiroz, Saulo Vilela, Joao P. Monteiro, Edmundo PR Ponta Grossa Brazil CISUC CRACS INESCTEC Dep. of Computer Science Faculty of Sciences University of Porto rua do Campo Alegre s/n Porto4169-007 Portugal CISUC Department of Informatics Engineering University of Coimbra Portugal

In this paper, we study the impact of computational complexity on the throughput limits of the fast Fourier transform (FFT) algorithm for orthogonal frequency division multiplexing (OFDM) waveforms. Based on the spectro-computational complexity (SC) analysis, we verify that the complexity of an N-point FFT grows faster than the number of bits in the OFDM symbol. Thus, we show that FFT nullifies the OFDM throughput on N unless the N-point discrete Fourier transform (DFT) problem verifies as Ω(N), which remains a "fascinating" open question in theoretical computer science. Also, because FFT demands N to be a power of two 2i (i > 0), the spectrum widening leads to an exponential complexity on i, i.e. O(2ii). To overcome these limitations, we consider the alternative frequency-time transform formulation of vector OFDM (V-OFDM), in which an N-point FFT is replaced by N/L (L>0) smaller L-point FFTs to mitigate the cyclic prefix overhead of OFDM. Building on that, we replace FFT by the straightforward DFT algorithm to release the V-OFDM parameters from growing as powers of two and to benefit from flexible numerology (e.g., L = 3, N = 156). Besides, by setting L to Θ(1), the resulting solution can run linearly on N (rather than exponentially on i) while sustaining a non null throughput as N grows. © 2020, CC BY.

关键词： Orthogonal frequency division multiplexing

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