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2018 IEEE 14th International Conference on e-Science (e-Science)最新文献

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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
{"title":"Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables","authors":"Shane Halloran, J. Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, J. Eyre","doi":"10.1109/eScience.2018.00063","DOIUrl":"https://doi.org/10.1109/eScience.2018.00063","url":null,"abstract":"We outline a system enabling accurate remote assessment of stroke rehabilitation levels using wrist worn accelerometer time series data. The system is built based on features generated from clustering models across sliding windows in the data and makes use of computation in the cloud. Predictive models are built using advanced machine learning techniques.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"47 1","pages":"302-302"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83615575","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: 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
{"title":"Utilizing a Transparency-Driven Environment Toward Trusted Automatic Genre Classification: A Case Study in Journalism History","authors":"A. Bilgin, L. Hollink, J. V. Ossenbruggen, E. T. K. Sang, Kim Smeenk, Frank Harbers, M. Broersma","doi":"10.1109/eScience.2018.00137","DOIUrl":"https://doi.org/10.1109/eScience.2018.00137","url":null,"abstract":"With the growing abundance of unlabeled data in real-world tasks, researchers have to rely on the predictions given by black-boxed computational models. However, it is an often neglected fact that these models may be scoring high on accuracy for the wrong reasons. In this paper, we present a practical impact analysis of enabling model transparency by various presentation forms. For this purpose, we developed an environment that empowers non-computer scientists to become practicing data scientists in their own research field. We demonstrate the gradually increasing understanding of journalism historians through a real-world use case study on automatic genre classification of newspaper articles. This study is a first step towards trusted usage of machine learning pipelines in a responsible way.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"9 1","pages":"486-496"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83536962","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
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
{"title":"Power Asymmetries of eHumanities Infrastructures","authors":"Max Kemman","doi":"10.1109/eScience.2018.00103","DOIUrl":"https://doi.org/10.1109/eScience.2018.00103","url":null,"abstract":"Digital research infrastructures simultaneously enable and confine the research practices of scholars, constituting a power relation. This power relation can be characterised as a power asymmetry, with scholars dependent on the developers of infrastructures. In order to reduce this power asymmetry, infrastructures are developed in collaboration between scholars and computational researchers. Through an analysis of over twenty interviews, I will investigate the role of knowledge asymmetry, the ignorance of how a collaborator performs their tasks, and how this relates to power asymmetry in eScience collaborations in digital history. I will moreover consider how these asymmetries pose a challenge in the development and adoption of research infrastructures in the humanities.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"85 1","pages":"370-371"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83902118","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
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
{"title":"Preserving Reproducibility: Provenance and Executable Containers in DataONE Data Packages","authors":"Bryce D. Mecum, Matthew B. Jones, D. Vieglais, C. Willis","doi":"10.1109/eScience.2018.00019","DOIUrl":"https://doi.org/10.1109/eScience.2018.00019","url":null,"abstract":"Many data packaging standards are available to researchers and data repository operators and the choice to use an existing standard or create a new one is challenging. We introduce the DataONE Data Package standard which is based on the existing OAI-ORE Resource Map standard. We describe the functionality Data Package provides, implementation considerations, compare it to existing standards, and discuss future extensions to the standard including the ability to describe execution environments via WholeTale \"Tales\"\" and alternate serialization formats.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"16 1","pages":"45-49"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77125113","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: 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
Understanding Evolving Communities in Transnational Board Interlock Networks 了解跨国董事会联锁网络中不断发展的社区
2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00069
D. V. Kuppevelt, Frank W. Takes, E. Heemskerk
{"title":"Understanding Evolving Communities in Transnational Board Interlock Networks","authors":"D. V. Kuppevelt, Frank W. Takes, E. Heemskerk","doi":"10.1109/eScience.2018.00069","DOIUrl":"https://doi.org/10.1109/eScience.2018.00069","url":null,"abstract":"n/a","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"18 1","pages":"312-313"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85894928","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: 1
Research Software Discovery: An Overview 研究软件发现:概述
2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00016
A. Struck
{"title":"Research Software Discovery: An Overview","authors":"A. Struck","doi":"10.1109/eScience.2018.00016","DOIUrl":"https://doi.org/10.1109/eScience.2018.00016","url":null,"abstract":"Research software is an integral part of scientific investigations. The paper identifies challenges, risks and new opportunities in research software publication and discovery. The diverse code discovery landscape is mapped and agents with their business models identified. Examples for discovery tools and strategies are given to support the classification. Reproducibility of research and reuse of code may improve if software discovery was easier. Researchers conducting a search for existing software in the context of a state-of-the-art report or a software management plan could use this paper as a guideline for their information retrieval strategy.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"45 1","pages":"33-37"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89738074","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: 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
{"title":"Big Provenance Stream Processing for Data Intensive Computations","authors":"Isuru Suriarachchi, S. Withana, Beth Plale","doi":"10.1109/eScience.2018.00039","DOIUrl":"https://doi.org/10.1109/eScience.2018.00039","url":null,"abstract":"In the business and research landscape of today, data analysis consumes public and proprietary data from numerous sources, and utilizes any one or more of popular data-parallel frameworks such as Hadoop, Spark and Flink. In the Data Lake setting these frameworks co-exist. Our earlier work has shown that data provenance in Data Lakes can aid with both traceability and management. The sheer volume of fine-grained provenance generated in a multi-framework application motivates the need for on-the-fly provenance processing. We introduce a new parallel stream processing algorithm that reduces fine-grained provenance while preserving backward and forward provenance. The algorithm is resilient to provenance events arriving out-of-order. It is evaluated using several strategies for partitioning a provenance stream. The evaluation shows that the parallel algorithm performs well in processing out-of-order provenance streams, with good scalability and accuracy.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"35 1","pages":"245-255"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75853693","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: 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
{"title":"A First Look at the JX Workflow Language","authors":"Tim Shaffer, Kyle M. D. Sweeney, Nathaniel Kremer-Herman, D. Thain","doi":"10.1109/eScience.2018.00094","DOIUrl":"https://doi.org/10.1109/eScience.2018.00094","url":null,"abstract":"Scientific workflows are typically expressed as a graph of logical tasks, each one representing a single program along with its input and output files. This poster introduces JX (JSON eXtended), a declarative language that can express complex workloads as an assembly of sub-graphs that can be partitioned in flexible ways. We present a case study of using JX to represent complex workflows for the Lifemapper biodiversity project. We evaluate partitioning approaches across several computing environments, including ND-Condor, IU-Jetstream, and SDSC-Comet, and show that a coarse partitioning results in faster turnaround times, reduced data transfer, and lower master utilization across all three systems.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"15 1","pages":"352-353"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89434752","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
Boosting Atmospheric Dust Forecast with PyCOMPSs 利用PyCOMPSs加强大气尘埃预报
2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00135
Javier Conejero, Cristian Ramon-Cortes, K. Serradell, Rosa M. Badia
{"title":"Boosting Atmospheric Dust Forecast with PyCOMPSs","authors":"Javier Conejero, Cristian Ramon-Cortes, K. Serradell, Rosa M. Badia","doi":"10.1109/eScience.2018.00135","DOIUrl":"https://doi.org/10.1109/eScience.2018.00135","url":null,"abstract":"Task-based programming is becoming a tool of large interest for boosting High-Performance Computing (HPC) and Big Data applications. In particular, COMP Superscalar (COMPSs), is showing to be an effective task-based programming model for distributed computing of Big Data applications within HPC environments. Applications like NMMB-MONARCH, which is a dust forecast application composed by a set of steps (being some of them binaries with or without MPI), are perfect candidates for PyCOMPSs, the Python binding of COMPSs. This paper describes the success story of the adaptation of the NMMB-MONARCH online multi-scale atmospheric dust model to PyCOMPSs in order to exploit its inherent parallelism with the minimal developer effort. The paper also includes an evaluation of this implementation in the Nord3 supercomputer, a scalability analysis and an in-depth behaviour study. The main results presented in this paper are: (1) PyCOMPSs is able to extract the parallelism from the NMMB-MONARCH application; (2) it is able to improve the dust forecasting in terms of performance when compared with previous versions, and (3) PyCOMPSs is able to interact and share the resources with MPI applications when included in the workflow as tasks. Finally, we present the keys for exporting the knowledge of this experience to other applications in order to benefit from using PyCOMPSs.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"29 1","pages":"464-474"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89638784","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: 4
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