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Provenance management in Swift

Provenance management in Swift

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作者： Gadelha Jr., Luiz M.R. Clifford, Ben Mattoso, Marta Wilde, Michael Foster, Ian Computer and Systems Engineering Program Federal University of Rio de Janeiro Brazil National Laboratory for Scientific Computing Brazil Computation Institute University of Chicago United States Mathematics and Computer Science Division Argonne National Laboratory United States

The Swift parallel scripting language allows for the specification, execution and analysis of large-scale computations in parallel and distributed environments. It incorporates a data model for recording and querying provenance information. In this article we describe these capabilities and evaluate the interoperability with other systems through the use of the Open Provenance Model. We describe Swift's provenance data model and compare it to the Open Provenance Model. We also describe and evaluate activities performed within the Third Provenance Challenge, which consisted of implementing a specific scientific workflow, capturing and recording provenance information of its execution, performing provenance queries, and exchanging provenance information with other systems. Finally, we propose improvements to both the Open Provenance Model and Swift's provenance system. © 2011 Elsevier B.V. All rights reserved.

关键词： Interoperability

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Comparing CUDA, OpenCL and OpenGL implementations of the cardiac monodomain equations

Comparing CUDA, OpenCL and OpenGL implementations of the car...

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9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011

作者： Sachetto Oliveira, Rafael Rocha, Bernardo Martins Amorim, Ronan Mendonça Campos, Fernando Otaviano Meira Jr., Wagner Toledo, Elson Magalhães Dos Santos, Rodrigo Weber Federal University of São João del Rey Department of Computer Science Brazil Federal University of Minas Gerais Department of Computer Science Brazil Federal University of Juiz de Fora Department of Computer Science Computational Modeling Program Brazil National Laboratory of Scientific Computing Brazil Medical University of Graz Institute of Biophysics Austria

ISBN: (纸本)9783642314995

computer simulations of cardiac electrophysiology are a helpful tool in the study of bioelectric activity of the heart. The cardiac monodomain model comprises a nonlinear system of partial differential equations and its numerical solution represents a very intensive computational task due to the required fine spatial and temporal resolution. Recent studies have shown that the use of GPU as a general purpose processor can greatly improve the performance of simulations. The aim of this work is to study the performance of different GPU programming interfaces for the solution of the cardiac monodomain equations. Three different GPU implementations are compared, OpenGL, NVIDIA CUDA and OpenCL, to a CPU multicore implementation that uses OpenMP. The OpenGL approach showed to be the fastest with a speedup of 446 (compared to the multicore implementation) for the solution of the nonlinear system of ordinary differential equations (ODEs) associated to the solution of the cardiac model, whereas CUDA was the fastest for the numerical solution of the parabolic partial differential equation with a speedup of 8. Although OpenCL provides code portability between different accelerators, the OpenCL version was slower for the solution of the parabolic equation and as fast as CUDA for the solution of the system of ODEs, showing to be a portable way of programming scientific applications but not as efficient as CUDA when running on Nvidia GPUs. © 2012 Springer-Verlag.

关键词： Nonlinear systems

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Chest X-Ray Pneumonia Detection by Dense-Net 31

Chest X-Ray Pneumonia Detection by Dense-Net

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31st International Conference on computer Theory and Applications, ICCTA 2021

作者： Jassam, Israa F. Elkaffas, Saleh Mesbah El-Zoghabi, Adel A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt University of Anbar College of Computer Sciences and Information Technology Iraq College of Computing and It Arab Academy for Science Technology and Maritime Transport Alexandria Egypt

ISBN: (纸本)9781665478540

Chest diseases include various types with varying levels of riskiness. Pneumonia is among the most fatal infectious chest diseases and kills more children than any other infectious disease. In 2016, the United Nations International Children's Emergency Fund (UNICEF) reported that pneumonia had infected the lives of over 800,000 children under the age of five. This paper presents a deep learning model architecture that aims to detect pneumonia disease in the chest using X-ray images. The proposed model is based on the Dense-Net model which consists of a 121-layer convolutional neural network. This research use the published dataset from Guangzhou Women and Children's Medical Center. The dataset include chest X-ray images for patients age ranges from one to five years old labeled by physicians containing the required binary classes of Normal and Pneumonia classes labels. The model consists of the Dense-Net Model, three convolution neural network (CNN) layers, and a global average pooling (GAP) layer. The overlapping pooling helps in reducing the overfitting. The Decoupled Weight Decay Regularization is used as the optimizer for the proposed model with a small learning rate. The proposed model could detect pneumonia with an accuracy of 90%. Such a model could be relied on by radiologists for providing early detection of pneumonia to speed up the process of reprioritization of hundreds of chest X-rays needed to be diagnosed. © 2021 IEEE.

关键词： Diseases

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Development of Educational Game for Indonesian History Lesson Focusing on Indonesia Pre-Literacy Relics 'Prehistoria' for Grade X High School Student

Development of Educational Game for Indonesian History Lesso...

引用

2020 International Conference on computer Engineering, Network, and Intelligent Multimedia, CENIM 2020

作者： Nugroho, Supeno Mardi Susiki Rahman, Muhammad Daffa Abiyyu Hariadi, Mochamad Arief, Muhammad Faculty of Intelligent Electrical and Informatics Technology Sepuluh Nopember Institute of Technology Computer Engineering Department Surabaya Indonesia Tokyo University of Technology Media Science Program Graduate School of Bionics Computer and Media Sciences Tokyo Japan

ISBN: (纸本)9781728182834

The development of game technology has opened up new possibilities in learning methods through educational games. However, in Indonesia, the application of this concept is lacking. One lesson that can benefit from educational games is Indonesian History in class X, with a focus on history in the pre-literacy period. This study aims to create a puzzle-Adventure type of digital game that can help educate students about the pre-literacy period, developed with Unity, and uses WebGL as a target device while referring to Indonesia's revised 2013 national curriculum. The result of this research is the creation of a digital game that can be played on average of 254.36 seconds, with potential for educational use. A survey result shows that many of the ancient objects and some of the ages are well-recognized. However, the survey also shows many of the gameplay aspects, such as UI, gameplay features, and adventure elements, need improvements. © 2020 IEEE.

关键词： Surveys

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DST-VI: An efficient DST-based vehicle identification algorithm in WSN

DST-VI: An efficient DST-based vehicle identification algori...

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IET International Conference on Wireless Sensor Network 2010, IET-WSN 2010

作者： Sun, Rongli Gong, Jibing Wang, Rui Zhang, Lei Cui, Li Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Computer Science and Engineering Yanshan University Qinhuangdao 066004 China Chinese Academy of Sciences Graduate University Beijing 100190 China

ISBN: (纸本)9781849192392

Wireless Sensor Networks (WSN) with small, densely distributed wireless sensor nodes are being envisioned and developed for a variety of applications. The advantages of WSN enable its significant prospects in target identification. Vehicle identification is the basic issue in Intelligent Traffic System (ITS) which is the typical application of WSN. Due to the diversity of road condition, the variety of vehicle and the complexity of on-road environment, readings or information obtained from sensor may be inaccurate. In this paper, to deal with the inaccuracy, we propose the Dempster-Shafer Theory of Evidence(DST) based vehicle identification algorithm (DST-VI) under the ITS background and put forward a novel basic belief mass construction model which is the crucial issue in DST theory. The experimental results sufficiently show the flexibility of the basic belief mass construction model and the efficiency of DST-VI algorithm.

关键词： Roads and streets

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A virtual-real comparison technique used on sport simulation and analysis

A virtual-real comparison technique used on sport simulation...

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2004 7th International Conference on Signal Processing Proceedings, ICSP

作者： Qiu, Xian-Jie Wang, Zhao-Qi Xia, Shi-Hong Wu, Yong-Dong Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China Computer Science Department Taiyuan University of Technology Taiyuan 030024 China

ISBN: (纸本)0780384075

The simulation and analysis of human motion is a popular issue in simulation area. It is highly valued in sport motion training and analysis. A method based on computer vision technologies is presented to achieve the function that the simulated motion in sport simulation system and the motion in sport video are presented on UK same screen and at die same view point. So we can quickly and accurately find UK difference between the athlete motion in sport video and the simulated motion. It is very helpful to the training of athletes.

关键词： Virtual reality

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Sport Field Reservation Based on Mobile Application 7

Sport Field Reservation Based on Mobile Application

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7th International Conference on ICT for Smart Society, ICISS 2020

作者： Claudinus, Tonto Prayoga Wicaksana, Made Kornelius Sitorus, Nicolas Ariqi Gustiandza, Marsa Oktavia, Tanty Lumban Gaol, Ford Hosoda, Takaaki Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan

ISBN: (纸本)9781665404228

This paper presents the sports apps based on a mobile application that has a function to help the provider or the owner of the sports field and sports vendor to promote their business in the apps. Due to the popularity and convenience that mobile applications had and high interest from many people in having a healthy life, it is a great opportunity to combine both of them. Therefore, this study focusses to build mobile sports application using object-oriented analysis and design method, that could meet the demand of lots of peoples that wants to do a sport especially a ball sport. Otherwise, the application can help and support the community and public, especially for ball sports fans, to make reservations for the sports field easier without having to come to the location and also meet their sporting needs. © 2020 IEEE.

关键词： Sports

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Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling 38

Structured Multi-Track Accompaniment Arrangement via Style P...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Zhao, Jingwei Xia, Gus Wang, Ziyu Wang, Ye Institute of Data Science NUS Singapore School of Computing NUS Singapore Integrative Sciences and Engineering Programme NUS Graduate School Singapore Machine Learning Department MBZUAI United Arab Emirates Computer Science Department NYU Shanghai China

In the realm of music AI, arranging rich and structured multi-track accompaniments from a simple lead sheet presents significant challenges. Such challenges include maintaining track cohesion, ensuring long-term coherence, and optimizing computational efficiency. In this paper, we introduce a novel system that leverages prior modelling over disentangled style factors to address these challenges. Our method presents a two-stage process: initially, a piano arrangement is derived from the lead sheet by retrieving piano texture styles;subsequently, a multi-track orchestration is generated by infusing orchestral function styles into the piano arrangement. Our key design is the use of vector quantization and a unique multi-stream Transformer to model the long-term flow of the orchestration style, which enables flexible, controllable, and structured music generation. Experiments show that by factorizing the arrangement task into interpretable sub-stages, our approach enhances generative capacity while improving efficiency. Additionally, our system supports a variety of music genres and provides style control at different composition hierarchies. We further show that our system achieves superior coherence, structure, and overall arrangement quality compared to existing baselines. © 2024 Neural information processing systems foundation. All rights reserved.

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The keyword-based and semantic-driven data matching approach for assisting structuralizing the textual clinical documents

The keyword-based and semantic-driven data matching approach...

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International Conference on Biomedical Engineering and Informatics

作者： Chen, Chi-Huang Ping, Xiao-Ou Wang, Zi-Jun Hsieh, Sheau-Ling Chen, Li-Chin Tseng, Yi-Ju Hsu, Ching-Wei Lai, Feipei Department of Electrical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Electronic and Bioinformatics National Taiwan University Taipei Taiwan EECS International Graduate Program Institute/IT Center National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781424464968

The clinical data stored in the health information system can be categorized as two types including structuralized data and non-structuralized ones. In the paper, a data extraction system is developed to assist data retrieval from the non-structuralized textual clinical documents such as radiology reports, pathology reports, etc. The system provides keyword-based and semantic-driven data matching methodology to extract the specific information from the textual clinical documents. The matching methodology provides the capabilities to recognize the selected keywords and the related semantics in the documents. Through the extraction verification interface, clinicians can extract and verify the matched information semi-automatically. The extracted data can be filled into predefined case-oriented templates. The structuralized data can be stored back into the clinical data warehouse for further analyzing. Moreover, the case-oriented templates can support collecting corresponding extracted data for various researches. ©2010 IEEE.

关键词： Semantics

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BondFlow: A system for distributed coordination of workflows over Web services

BondFlow: A system for distributed coordination of workflows...

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19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

作者： Balasooriya, Janaka Padhye, Mohini Prasad, Sushil K. Navathe, Shamkant B. Georgia State University Atlanta Georgia Institute of Technology Atlanta Computer Science Department Georgia State University Yamacraw/GEDC Distributed Mobile and Embedded Systems Program College of Computing Georgia Institute of Technology Atlanta United States

ISBN: (纸本)0769523129

Today's collaborative applications over the web span domains as diverse as enterprise e-commerce applications and biomedical applications. We have previously developed and formally investigated "Web Coordination Bonds," a theoretically powerful artifact for interconnecting autonomous web objects for control and data flows, and for enforcing dependencies. Here, we describe BondFlow, a system that enables the configuration and execution of workflows using web bonds over heterogeneous web objects. The system automatically generates lightweight proxy wrapper objects to enable encapsulated web services to be interconnected through web bonds. The small footprint wrappers (less than 10 KB) can reside on Java-enabled handheld devices. We describe the design, architecture and performance of the Bond-Flow system. Our initial performance results indicate that both wrapper creation time and web bond related execution time are small. In contrast to our BondFlow system, existing systems need expert programming to create workflows, do not easily allow distributed coordination of workflows, and usually do not support heterogeneity of device, data and network. The system is preliminary, and further research is ongoing to extend its configuration and execution platforms.

关键词： Distributed computer systems

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