2018 IEEE 14th International Conference on e-Science (e-Science)最新文献_第3页

Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables 使用可穿戴设备的远程云端自动中风康复评估

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00063

Shane Halloran, J. Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, J. Eyre

引用次数: 1

Utilizing a Transparency-Driven Environment Toward Trusted Automatic Genre Classification: A Case Study in Journalism History 利用透明驱动的环境实现可信的自动体裁分类:新闻史案例研究

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00137

A. Bilgin, L. Hollink, J. V. Ossenbruggen, E. T. K. Sang, Kim Smeenk, Frank Harbers, M. Broersma

引用次数: 2

Power Asymmetries of eHumanities Infrastructures 人文基础设施的权力不对称

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00103

Max Kemman

引用次数: 0

Preserving Reproducibility: Provenance and Executable Containers in DataONE Data Packages 保持再现性:DataONE数据包中的来源和可执行容器

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00019

Bryce D. Mecum, Matthew B. Jones, D. Vieglais, C. Willis

引用次数: 6

Development of the OMUSE/AMUSE Modeling System OMUSE/AMUSE建模系统的开发

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00105

F. I. Pelupessy, B. V. Werkhoven, G. Oord, S. Zwart, A. V. Elteren, H. Dijkstra

{"title":"Development of the OMUSE/AMUSE Modeling System","authors":"F. I. Pelupessy, B. V. Werkhoven, G. Oord, S. Zwart, A. V. Elteren, H. Dijkstra","doi":"10.1109/eScience.2018.00105","DOIUrl":"https://doi.org/10.1109/eScience.2018.00105","url":null,"abstract":"The Oceanographic Multipurpose Software Environment (OMUSE, [1]) is an open source framework developed for oceanographic and other earth system modelling applications. OMUSE provides a homogeneous environment to interface with numerical simulation codes. It was developed at the IMAU (Utrecht) using coupling technology developed for astrophysical applications in the AMUSE project at Leiden Observatory[2,3]. OMUSE simplifies the use and deployment of numerical simulations codes. Furthermore, the design of the OMUSE interfaces (figure 1) allow codes that represent different physics or span different ranges of physical scales to be easily combined in novel numerical experiments. The use cases for OMUSE range from running simple numerical experiments with single codes and the addition of data analysis tools in model runs, to setting up fairly complicated and strongly coupled solvers for problems that are intrinsically multi-scale and/or require different physics. Here, we will present the design of OMUSE as well as give examples of the types of the couplings that can be implemented using OMUSE. The example provided by AMUSE and OMUSE suggests that application of the same interfacing philosophy to a more extensive set of disciplines is possible. In order to facilitate this a better separation of the core framework and domain specific code is necessary. We will present ongoing work to support meteorological and hydrological applications and the use of the framework as the computational core in the eWatercycle project [4]. For this, adaptations are made to improve the interoperability with existing interface efforts (such as the BMI) and we discuss developments regarding the encapsulation of OMUSE/AMUSE and its component models in containers. This will facilitate the installation for first time users, removing a barrier in this respect. In addition to this we anticipate this to also offer more flexible deployment options for the framework.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"50 1","pages":"374-374"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87023537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Navigating Sea-Ice Timeseries Data using Tracklines 使用轨道线导航海冰时间序列数据

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00115

Brennan Bell, T. Dinter, Vlad Merticariu, B. P. Huu, D. Misev, P. Baumann

{"title":"Navigating Sea-Ice Timeseries Data using Tracklines","authors":"Brennan Bell, T. Dinter, Vlad Merticariu, B. P. Huu, D. Misev, P. Baumann","doi":"10.1109/eScience.2018.00115","DOIUrl":"https://doi.org/10.1109/eScience.2018.00115","url":null,"abstract":"Scientists are often interested in sampling buffered regions of data across multiple time-slices in array datacubes. For instance, in studying sea-ice distributions, a string of geographic coordinates with timestamps are requested, representing a sample or ship track line of a measurement campaign. A defined region is sampled around each of those data points using a nearestneighbour approach in time and a buffer or polygon clipping in the spatial domain. Objectively, such queries can be handled discretely across the time domain, as there is no temporal interpolation, and as a result, the tiling of extracted rasters is well-defined by the tiling of the source data. What happens when the resulting object should also be represented by a 3-D raster, such as in the case where the trackline consists of continuous buffered sampling across the timeseries? Spatio-temporal data is typically stored in chunked 3-D arrays, where multiple time-slices appear in the same \"tile\" or subarray. Unlike the discrete version, tracing out a polygonally-shaped buffer along a ship’s path in a 3-D spatio-temporal datacube leads to shearing across the spatial tiles in the result raster, and this shearing prevents an a priori tiling of the result. Here, we present several approaches to tiling the result raster, and we provide a mathematical investigation of the impact these approaches can have on performance. To substantiate the theoretical investigation, an implementation and performance benchmarks on the different tiling approaches are provided, and the implementation is demonstrated on sea-ice data as a casestudy. In future work, we discuss different approaches towards parallelization utilizing these techniques as a basis for thread-safety, establishing the results on arbitrary R+ trees and extending these results to R* trees.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"14 1","pages":"392-392"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74725114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extracting Flood Maps from Social Media for Assimilation 从社交媒体中提取洪水地图进行同化

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00045

Etienne Brangbour, P. Bruneau, S. Marchand-Maillet

引用次数: 5

Big Provenance Stream Processing for Data Intensive Computations 用于数据密集计算的大来源流处理

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00039

Isuru Suriarachchi, S. Withana, Beth Plale

引用次数: 10

A First Look at the JX Workflow Language JX工作流语言简介

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00094

Tim Shaffer, Kyle M. D. Sweeney, Nathaniel Kremer-Herman, D. Thain

引用次数: 0

A Survey of Software Metric Use in Research Software Development 软件度量在研究软件开发中的应用综述

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00036

Nasir U. Eisty, G. Thiruvathukal, Jeffrey C. Carver

{"title":"A Survey of Software Metric Use in Research Software Development","authors":"Nasir U. Eisty, G. Thiruvathukal, Jeffrey C. Carver","doi":"10.1109/eScience.2018.00036","DOIUrl":"https://doi.org/10.1109/eScience.2018.00036","url":null,"abstract":"Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"52 1","pages":"212-222"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90063350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9