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arXiv 2022年

作者： Archer, Martin O. Cottingham, Marek Hartinger, Michael D. Shi, Xueling Coyle, Shane Hill, Ethan Duke Fox, Michael F.J. Masongsong, Emmanuel V. Department of Physics Imperial College London London United Kingdom Space Science Institute BoulderCO United States Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University BlacksburgVA United States High Altitude Observatory National Center for Atmospheric Research BoulderCO United States Earth Planetary and Space Sciences Department University of California Los AngelesCA United States

Observations across the heliosphere typically rely on in situ spacecraft observations producing time-series data. While often this data is analysed visually, it lends itself more naturally to our sense of sound. The simplest method of converting oscillatory data into audible sound is audification – a one-to-one mapping of data samples to audio samples – which has the benefit that no information is lost, thus is a true representation of the original data. However, audification can make some magnetospheric ULF waves observations pass by too quickly for someone to realistically be able to listen to effectively. For this reason, we detail various existing audio time scale modification techniques developed for music, applying these to ULF wave observations by spacecraft and exploring how they affect the properties of the resulting audio. Through a public dialogue we arrive at recommendations for ULF wave researchers on rendering these waves audible and discuss the scientific and educational possibilities of these new methods. © 2022, CC BY.

关键词： Magnetosphere

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EVOH in situ fibrillation and its effect of strengthening, toughening and hydrophilic modification on PVDF hollow fiber microfiltration membrane via TIPS process

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Journal of Materials science 2019年第7期54卷 5971-5987页

作者： Cui, Zhenyu Tang, Xiuxiu Li, Wei Liu, Haonan Zhang, Jing Wang, Hong Li, Jianxin State Key Laboratory of Separation Membranes and Membrane Processes National Center for International Joint Research on Separation Membranes School of Material Science and Engineering Tianjin Polytechnic University Tianjin 300387 China School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin 300387 China

In order to enhance the strength and overcome the poor antifouling capacity of poly(vinylidene fluoride) (PVDF) membrane used in water treatment, herein, poly(ethylene-co-vinyl alcohol) (EVOH) was selected and the PVDF/EVOH blend hollow fiber microfiltration membrane was prepared via the thermally induced phase separation (TIPS) technique. The morphology for the pristine and blend membrane was compared, and the distribution of EVOH on outer surface and within matrix was explored. The fibrous-shaped EVOH enhanced the breaking strength of the membrane markedly (up to 13.63 MPa) due to the in situ fibrillation;especially, when the blend membrane was immersed into water, the internal plasticization of water molecular enhanced the toughness of the membrane and the elongation at break increased up to 86.39% compared with 27.63% for the corresponding dry membrane and 36.62% for the pristine membrane, respectively. The addition of EVOH introduced hydroxyl group into the bulk and thus endowed the membrane with a better hydrophilicity (the contact angle is as low as 43°) and higher pure water flux (up to 449.11 L m⁻² h⁻¹) compared with pristine PVDF membrane. Moreover, the blend membrane showed a better rejection of carbonic particle (nearly 100%) and higher flux recovery rate (up to 87.30%). The present investigation offers an effective and simple pattern to regulate microstructure and enhance mechanical strength, flux and hydrophilicity of the polymeric microfiltration membrane via the TIPS process for water treatment. © 2019, Springer science+Business Media, LLC, part of Springer Nature.

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A human vision system-based approach to improve computing efficiency in information systems

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International Journal of Information Systems and Change Management 2019年第1期11卷 44-55页

作者： Li, Jianxun Chen, Jim Q. Li, Weiqian Department of Management Science and Engineering School of Economics and Management Xi'an University of Technology Xi'an China Department of Information Systems Herberger Business School St. Cloud State University St. CloudMN United States Department of Software Engineering School of Computer Science Xi'an Polytechnic University Xi'an China

While a lot of research has been done in system design, reducing computational complexity is still a core problem in information systems. In order to break through the bottleneck of computing efficiency, this paper draws on the powerful processing capability of the human vision system (HVS) to propose a pixel domain computing framework. It converts the original problem into pixel operations, and pixels are taken as the basic unit to change the construction process of data analysis. The framework significantly decreases computational complexity, simplifies programming logic, and enhances the automaticity of information system. Our results demonstrate that the efficiency of the containment test is improved by 30 times, the logic complexity of the intersection area measurement is reduced by a factor of five, and the automaticity of root finding is significantly heightened. © 2019 Inderscience Enterprises Ltd.

关键词： Information systems

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Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots 32

Minimizing The Maximum Distance Traveled To Form Patterns Wi...

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32nd Canadian Conference on Computational Geometry, CCCG 2020

作者： Coleman, Jared Kranakis, Evangelos Morales-Ponce, Oscar Opatrny, Jaroslav Urrutia, Jorge Vogtenhuber, Birgit California State University Long Beach United States Carleton University School of Computer Science OttawaONK1S 5B6 Canada Concordia University Department Computer Science and Engineering MontréalQCH3G 1M8 Canada Instituto de Matematicas UNAM Mexico City Mexico Institute of Software Technology University of Technology Graz Austria

In the pattern formation problem, robots in a system must self-coordinate to form a given pattern, regardless of translation, rotation, uniform-scaling, and/or reflection. In other words, a valid final configuration of the system is a formation that is similar to the desired pattern. While there has been no shortage of research in the pattern formation problem under a variety of assumptions, models, and contexts, we consider the additional constraint that the maximum distance traveled among all robots in the system is minimum. Existing work in pattern formation and closely related problems are typically application-specific or not concerned with optimality (but rather feasibility). We show the necessary conditions any optimal solution must satisfy and present a solution for systems of three robots. Our work also led to an interesting result that has applications beyond pattern formation. Namely, a metric for comparing two triangles where a distance of 0 indicates the triangles are similar, and 1 indicates they are fully dissimilar. © 2020 Mark Keil and Debajyoti Mondal.

关键词： Robots

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A benchmarking study of embedding-based entity alignment for knowledge graphs

arXiv

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arXiv 2020年

作者： Sun, Zequn Zhang, Qingheng Hu, Wei Wang, Chengming Chen, Muhao Akrami, Farahnaz Li, Chengkai State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science University of California Los Angeles United States Department of Computer Science and Engineering University of Texas Arlington United States

Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings. In this paper, we conduct a comprehensive experimental study of this emerging field. This study surveys 23 recent embedding-based entity alignment approaches and categorizes them based on their techniques and characteristics. We further observe that current approaches use different datasets in evaluation, and the degree distributions of entities in these datasets are inconsistent with real KGs. Hence, we propose a new KG sampling algorithm, with which we generate a set of dedicated benchmark datasets with various heterogeneity and distributions for a realistic evaluation. This study also produces an open-source library, which includes 12 representative embedding-based entity alignment approaches. We extensively evaluate these approaches on the generated datasets, to understand their strengths and limitations. Additionally, for several directions that have not been explored in current approaches, we perform exploratory experiments and report our preliminary findings for future studies. The benchmark datasets, open-source library and experimental results are all accessible online and will be duly maintained. Copyright © 2020, The Authors. All rights reserved.

关键词： Embeddings

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MC-Blur: A Comprehensive Benchmark for Image Deblurring

arXiv

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arXiv 2021年

作者： Zhang, Kaihao Wang, Tao Luo, Wenhan Ren, Wenqi Stenger, Björn Liu, Wei Li, Hongdong Yang, Ming-Hsuan College of Engineering and Computer Science Australian National University Canberra Australia State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Sun Yat-sen University Guangzhou China Rakuten Institute of Technology Setagaya Tokyo Japan Tencent Data Platform Shenzhen China School of Engineering University of California at Merced MercedCA United States

Blur artifacts can seriously degrade the visual quality of images, and numerous deblurring methods have been proposed for specific scenarios. However, in most real-world images, blur is caused by different factors, e.g., motion, and defocus. In this paper, we address how other deblurring methods perform in the case of multiple types of blur. For in-depth performance evaluation, we construct a new large-scale multi-cause image deblurring dataset (MC-Blur), including real-world and synthesized blurry images with different blur factors. The images in the proposed MC-Blur dataset are collected using other techniques: averaging sharp images captured by a 1000-fps high-speed camera, convolving Ultra-High-Definition (UHD) sharp images with large-size kernels, adding defocus to images, and real-world blurry images captured by various camera models. Based on the MC-Blur dataset, we conduct extensive benchmarking studies to compare SOTA methods in different scenarios, analyze their efficiency, and investigate the buildataset’s capacity. These benchmarking results provide a comprehensive overview of the advantages and limitations of current deblurring methods, revealing our dataset’s advances. The dataset is available to the public at https://***/HDCVLab/MC-Blur-Dataset. Copyright © 2021, The Authors. All rights reserved.

关键词： Benchmarking

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Corrigendum to “Effects of architectural interventions on psychological, cognitive, social, and pro-environmental aspects of occupant well-being: Results from an immersive online study” [Build. Environ. 253 (2024) 111293]

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Building and Environment 2024年 262卷

作者： Eva Bianchi Lucy Zhang Bencharit Elizabeth L. Murnane Basma Altaf Isabella P. Douglas James A. Landay Sarah L. Billington Department of Civil & Environmental Engineering Stanford University USA Department of Psychology and Child Development California Polytechnic State University San Luis Obispo USA School of Engineering Dartmouth College USA Department of Computer Science Stanford University USA Institute for Human-Centered Artificial Intelligence Stanford University USA Woods Institute for the Environment Stanford University USA

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Deep neural network based wide-area event classification in power systems

arXiv

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arXiv 2020年

作者： Niazazari, Iman Livani, Hanif Ghasemkhani, Amir Yang, Lei Liu, Yunchuan Centeno, Virgilio Biswas, Shuchismita Department of Electrical and Biomedical Engineering University of Nevada Reno Reno United States Department of Computer Science and Engineering California State University San Bernardino San Bernardino United States Department of Computer Science and Engineering University of Nevada Reno Reno United States Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University Blacksburg United States

This paper presents a wide-area event classification in transmission power grids. The deep neural network (DNN) based classifier is developed based on the availability of data from time-synchronized phasor measurement units (PMUs). The proposed DNN is trained using Bayesian optimization to search for the best hyperparameters. The effectiveness of the proposed event classification is validated through the real-world dataset of the U.S. transmission grids. This dataset includes line outage, transformer outage, frequency event, and oscillation events. The validation process also includes different PMU outputs, such as voltage magnitude, angle, current magnitude, frequency, and rate of change of frequency (ROCOF). The simulation results show that ROCOF as input feature gives the best classification performance. In addition, it is shown that the classifier trained with higher sampling rate PMUs and a larger dataset has higher accuracy. Copyright © 2020, The Authors. All rights reserved.

关键词： Phasor measurement units

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Analysis of Haptic Feedback and its Influences in Virtual Reality Learning Environments

Analysis of Haptic Feedback and its Influences in Virtual Re...

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Immersive Learning Research Network (iLRN), Conference of the

作者： Stefan Lontschar Daniel Deegan Irene Humer Krzysztof Pietroszek Christian Eckhardt Software Development Graz University of Technology Graz Austria Computer Science California Polytechnic State University San Luis Obispo California USA Ideas Lab American University of Washington D.C Washington D.C USA

The following topics are dealt with: computer aided instruction; virtual reality; augmented reality; educational courses; teaching; serious games (computing); human computer interaction; educational institutions; comp... 详细信息

ISBN: (数字)9781734899504

ISBN: (纸本)9781728152264

关键词： Haptic interfaces Virtual reality Task analysis Testing computer science Indexes

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Combining Parts of Speech, Term Proximity, and Query Expansion for Document Retrieval

Combining Parts of Speech, Term Proximity, and Query Expansi...

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International Conference on Semantic Computing

作者： Eric LaBouve Lubomir Stanchev Department of Computer Science and Software Engineering California Polytechnic State University San Luis Obispo CA USA

Document retrieval systems recover documents from a database and order them according to their perceived relevance to a user's search query. This is a difficult task for machines to accomplish because there exists a semantic gap between the meaning of the terms in a user's literal query and a user's true intentions. The main goal of this study is to modify the Okapi BM25 document retrieval system to improve search results for textual queries and unstructured, textual corpora. This research hypothesizes that Okapi BM25 is not taking full advantage of the structure of text inside documents. This structure holds valuable semantic information that can be used to increase the model's accuracy. Modifications that account for a term's part of speech, the proximity between a pair of related terms, the proximity of a term with respect to its location in a document, and query expansion are used to augment Okapi BM25. The study resulted in 87 modifications which were all validated using open source corpora. The top scoring modification from the validation set was then tested under the Lisa corpus and the model performed 10.25% better than Okapi BM25 when evaluated under mean average precision.

关键词： Mathematical model Semantics Google Training data Benchmark testing Search engines

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