检索结果-内蒙古大学图书馆

Using a cloud-based computing Environment to Support Teacher Training on Common Core Implementation

TECHTRENDS 2013年第6期57卷 57-60页

作者： Robertson, Cory Anaheim City Sch Dist Anaheim CA 92805 USA

A cloud-based computing environment, Google Apps for Education (GAFE), has provided the Anaheim City School District (ACSD) a comprehensive and collaborative avenue for creating, sharing, and editing documents, calendars, and social networking communities. With this environment, teachers and district staff at ACSD are able to utilize the deep feature-set to assist with the implementation of the Common Core State Standards and the new shift in research-based lesson design. Through the use of the cloud-based computing environment, teachers in the district are able to receive support for the effective implementation of the Common Core State Standards.

关键词： cloud-based computing Google Apps for Education Common Core State Standards Elementary School Teacher Support

来源：评论

学校读者我要写书评

暂无评论

Jumping into the cloud: Privacy, Security and Trust of cloud-based computing Within K-12 American Public Education

Jumping into the Cloud: Privacy, Security and Trust of Cloud...

引用

作者： Erik Carl Bennett The Graduate Center City University of New York

学位级别：博士

The purpose of this study is to gain a deeper understanding of how faculty view cloud-based computing, how they perceive issues of privacy, security, and trust when using cloud-based systems in schools, and what differences, if any, exist between their at home use of cloud-based computer systems and their use of these and similar systems at work. Educators who took part in this study (a) demonstrated a relatively good understanding of the cloud; (b) perceived the issues of privacy, security, and trust as related to cloud-based computing as a serious matter, which strongly influenced their acceptance of the cloud, and to a lesser extent, their use of the cloud; and (c) had noticeable differences in their perceptions of the cloud when used for school related tasks, and then, as used for personal, non-work related tasks. The theoretical framework utilized is an adaption of F. D. Davis's 1989 Technology Acceptance Model, which according to Venkatesh (2000), is the most widely applied model of users' acceptance and usage. Findings from this study inform efforts to improve educators' understanding of the cloud as a dynamic technology with constantly evolving trade offs of convenience that are increasingly becoming the enemy of privacy, security, and trust.

关键词： K-12 Public Education cloud-based computing perceptions of Privacy Security Trust GAFE G-Suite

来源：评论

学校读者我要写书评

暂无评论

cloud-based serverless computing enables accelerated monte carlo simulations for nuclear medicine imaging

引用

BIOMEDICAL PHYSICS & ENGINEERING EXPRESS 2024年第4期10卷 045053-045053页

作者： Bayerlein, Reimund Swarnakar, Vivek Selfridge, Aaron Spencer, Benjamin A. Nardo, Lorenzo Badawi, Ramsey D. Univ Calif Davis Dept Biomed Engn Davis CA 95616 USA Univ Calif Davis Dept Radiol Davis CA 95616 USA

Objective. This study investigates the potential of cloud-based serverless computing to accelerate Monte Carlo (MC) simulations for nuclear medicine imaging tasks. MC simulations can pose a high computational burden-even when executed on modern multi-core computing servers. cloud computing allows simulation tasks to be highly parallelized and considerably accelerated. Approach. We investigate the computational performance of a cloud-based serverless MC simulation of radioactive decays for positron emission tomography imaging using Amazon Web Service (AWS) Lambda serverless computing platform for the first time in scientific literature. We provide a comparison of the computational performance of AWS to a modern on-premises multi-thread reconstruction server by measuring the execution times of the processes using between 105 and 21010 simulated decays. We deployed two popular MC simulation frameworks-SimSET and GATE-within the AWS computing environment. Containerized application images were used as a basis for an AWS Lambda function, and local (non-cloud) scripts were used to orchestrate the deployment of simulations. The task was broken down into smaller parallel runs, and launched on concurrently running AWS Lambda instances, and the results were postprocessed and downloaded via the Simple Storage Service. Main results. Our implementation of cloud-based MC simulations with SimSET outperforms local server-based computations by more than an order of magnitude. However, the GATE implementation creates more and larger output file sizes and reveals that the internet connection speed can become the primary bottleneck for data transfers. Simulating 109 decays using SimSET is possible within 5 min and accrues computation costs of about $10 on AWS, whereas GATE would have to run in batches for more than 100 min at considerably higher costs. Significance. Adopting cloud-based serverless computing architecture in medical imaging research facilities can considerably

关键词： cloud-based computing Monte-Carlo simulation AWS lambda SimSET GATE nuclear medicine imaging computational efficiency

来源：评论

学校读者我要写书评

暂无评论

cloud computing Technologies in "Smart City" Projects 9

Cloud Computing Technologies in "Smart City" Projects

引用

9th IEEE International Conference on Intelligent Data Acquisition and Advanced computing Systems - Technology and Applications (IDAACS)

作者： Wieclaw, Lukasz Pasichnyk, Volodymyr Kunanets, Natalija Duda, Oleksij Matsiuk, Oleksandr Falat, Pawel Univ Bielsko Biala 2 Willowa St PL-43309 Bielsko Biala Poland Natl Univ Lviv Polytech 12 Bandera St UA-79013 Lvov Ukraine Ternopil Ivan Puluj Natl Tech Univ 56 Ruska St UA-46001 Ternopol Ukraine

ISBN: (纸本)9781538606971

The experience of cloud-based computing technologies use in the Smart City class design is analyzed. In the considerable part of applications in the Smart City class design informational technologies of cloud-based computing combined with such technologies as GRID, IoT, BigData, OLAP, GIS are used. At the same time complex solutions systematically considering peculiarities of defined technologies are practically non-existent. To introduce the Smart City concept it is necessary to realize completely the system approach considering peculiarities of existing IT infrastructure and appropriate services. In such a case interests of a wide range of motivated organizations, companies, firms and great number of town residents should be taken into account as far as distinction of informational resources access rights are concerned. Layer architecture of the Smart City class informational system for accumulation and processing of diverse data obtained from intelligent providers were analyzed by the authors during the research. Characteristics and realization of informational technologies on the basis of cloud-based computing used in Smart City designs were reviewed. In further investigations it is reasonable to model system operation and develop its prototype for individual water and heat cost accounting as well as operational mobile customer accounts for received services. It is also necessary to establish possibilities of functions increase and integration with other subsystems of "Smart City Ternopil" design portfolio.

关键词： programming-algorithm complex architecture intelligent provider smart city cloud-based computing

来源：评论

学校读者我要写书评

暂无评论

RNN-Assisted Feature-Extraction VMD for Load Classification in cloud computing Platform

引用

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 2022年第6期31卷 2250106-2250106页

作者： Ma, Yiming Wang, Haixin Yang, Junyou Chen, Zhe Yuan, Jingwei Okoye, Martin Onyeka Shenyang Univ Technol Sch Elect Engn Shenliao West Rd 111 Shenyang 110870 Peoples R China Aalborg Univ Dept Energy Technol DK-9220 Aalborg Denmark State Grid Liaoning Elect Power Res Inst Siping St 55 Shenyang 110006 Peoples R China

cloud computing can improve the calculation and data storage ability for the control center in the power system. A new framework of the cloud-based control center is proposed in this paper. This cloud computing system can collect the load data from smart meters of the grid and classify demand-side management (DSM) loads that meet the specific requirements. The selected loads belong to the off-peak period (from 21:00 to 07:00 next day) and can contribute to shifting the night peak load. A feature extraction combined with Variational Mode Decomposition (FE-VMD) of the loads which can be trained in recurrent neural network (RNN) is proposed in this paper. Using the feature value to replace the actual load data, input data can be significantly reduced which is suitable for a vast amount of load in the power system. A case study of real load data from 200,000 customers has been classified with this method, and the accuracy is compared with the other methods. From simulation with MATLAB, it can be seen that the FE-VMD combined with the RNN method provides the best result of 89.8% recognition accuracy among these methods.

关键词： cloud-based computing power system load classification variational mode decomposition feature extraction demand-side management

来源：评论

学校读者我要写书评

暂无评论

BisQue for 3D Materials Science in the cloud: Microstructure-Property Linkages

引用

INTEGRATING MATERIALS AND MANUFACTURING INNOVATION 2019年第1期8卷 52-65页

作者： Latypov, Marat I. Khan, Amil Lang, Christian A. Kvilekval, Kris Polonsky, Andrew T. Echlin, McLean P. Beyerlein, Irene J. Manjunath, B. S. Pollock, Tresa M. Univ Calif Santa Barbara Dept Mat Santa Barbara CA 93106 USA Univ Calif Santa Barbara Dept Mech Engn Santa Barbara CA 93106 USA Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

Accelerating the design and development of new advanced materials is one of the priorities in modern materials science. These efforts are critically dependent on the development of comprehensive materials cyberinfrastructures which enable efficient data storage, management, sharing, and collaboration as well as integration of computational tools that help establish processing-structure-property relationships. In this contribution, we present implementation of such computational tools into a cloud-based platform called BisQue (Kvilekval et al., Bioinformatics 26(4):554, 2010). We first describe the current state of BisQue as an open-source platform for multidisciplinary research in the cloud and its potential for 3D materials science. We then demonstrate how new computational tools, primarily aimed at processing-structure-property relationships, can be implemented into the system. Specifically, in this work, we develop a module for BisQue that enables microstructure-sensitive predictions of effective yield strength of two-phase materials. Towards this end, we present an implementation of a computationally efficient data-driven model into the BisQue platform. The new module is made available online (web address: https://***/moduleservice/Composite_Strength/) and can be used from a web browser without any special software and with minimal computational requirements on the user end. The capabilities of the module for rapid property screening are demonstrated in case studies with two different methodologies based on datasets containing 3D microstructure information from (i) synthetic generation and (ii) sampling large 3D volumes obtained in experiments.

关键词： Materials cyberinfrastructure cloud-based computing Reduced order models Homogenization

来源：评论

学校读者我要写书评

暂无评论

Modeling and Empirical Validation of Reliability and Performance Trade-Offs of Dynamic Routing in Service- and cloud-based Architectures

引用

IEEE TRANSACTIONS ON SERVICES computing 2022年第6期15卷 3372-3386页

作者： Amiri, Amirali Zdun, Uwe van Hoorn, Andre Univ Vienna Software Architecture Grp Fac Comp Sci A-1010 Vienna Austria Univ Vienna Software Architecture Fac Comp Sci A-1010 Vienna Austria Univ Stuttgart Inst Software Technol D-70174 Stuttgart Germany

Context: Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers. Objective: Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article's objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts. Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model's predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs. Results and Conclusions:The comparison of the empirical data to the reliability model's predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.

关键词： cloud-based computing service-based applications dynamic routing architectures system reliability performance

来源：评论

学校读者我要写书评

暂无评论

Keeping an eye on moving objects: processing continuous spatial-keyword range queries

引用

GEOINFORMATICA 2024年第1期28卷 117-143页

作者： Orabi, Mariam Al Aghbari, Zaher Kamel, Ibrahim Mouheb, Djedjiga Univ Sharjah Coll Comp & Informat Univ City Rd Sharjah U Arab Emirates

With the emergence of GPS-equipped portable devices and Online Social Networks, geo-tagged textual data have been highly produced on a continuous basis, which can provide important information for various applications, such as marketing, disaster response, and so on. Therefore, processing continuous spatial-keyword queries over streaming data is a hot topic for the research community nowadays. However, applying such queries to moving objects is computationally expensive due to the frequent updates of objects' information that will continuously change the queries' answers. Few research works focus on processing spatial-keyword queries over moving objects, so this problem demands more exploration by research. This paper proposes Lagic;a cloud-based solution scheme to process continuous spatial-keyword range queries over moving objects. Lagic is the first model that provides an exact solution to the problem and minimizes the overhead on users' devices. A parallelized in-memory indexing structure is proposed to ensure the efficiency and scalability of Lagic. Short-term Safe Regions and a new approach for Buffer Regions are presented to reduce the number of required computations to update queries' answer sets in an incremental manner. Evaluations show that Lagic can reduce the total processing time to seven folds less than a baseline model. It also provides better computational scalability and efficiency. Furthermore, Lagic shows stability in continuous running time against variations of queries' and objects' attributes.

关键词： Moving objects Spatial-textual objects Continuous query Spatial-keyword query cloud-based computing In-memory index

来源：评论

学校读者我要写书评

暂无评论

COGNISERVE: HETEROGENEOUS SERVER ARCHITECTURE FOR LARGE-SCALE RECOGNITION

引用

IEEE MICRO 2011年第3期31卷 20-31页

作者： Iyer, Ravi Srinivasan, Sadagopan Tickoo, Omesh Fang, Zhen Illikkal, Ramesh Zhang, Steven Chadha, Vineet Stillwell, Paul M., Jr. Lee, Seung Eun Seoul Natl Univ Sci & Technol Elect & Informat Engn Dept Seoul South Korea

As smart mobile devices become pervasive, vendors are offering rich features supported by cloud-based servers to enhance the user experience. Such servers implement large-scale computing environments, where target data is compared to a massive preloaded database. Cogniserve is a highly efficient recognition server for large-scale recognition that employs a heterogeneous architecture to provide low-power, high-throughput cores, along with application-specific accelerators.

关键词： accelerator cloud-based computing CogniServe Computer architecture Hardware heterogeneous architecture Image recognition large-scale recognition mobile/wireless Programming Servers Speech Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change

引用

WILEY INTERDISCIPLINARY REVIEWS-WATER 2021年第1期8卷 e21496页

作者： Boothroyd, Richard J. Williams, Richard D. Hoey, Trevor B. Barrett, Brian Prasojo, Octria A. Univ Glasgow Sch Geog & Earth Sci Glasgow Lanark Scotland Brunel Univ London Dept Civil & Environm Engn Uxbridge Middx England

cloud-based computing, access to big geospatial data, and virtualization, whereby users are freed from computational hardware and data management logistics, could revolutionize remote sensing applications in fluvial geomorphology. Analysis of multitemporal, multispectral satellite imagery has provided fundamental geomorphic insight into the planimetric form and dynamics of large river systems, but information derived from these applications has largely been used to test existing concepts in fluvial geomorphology, rather than for generating new concepts or theories. Traditional approaches (i.e., desktop computing) have restricted the spatial scales and temporal resolutions of planimetric river channel change analyses. Google Earth Engine (GEE), a cloud-based computing platform for planetary-scale geospatial analyses, offers the opportunity to relieve these spatiotemporal restrictions. We summarize the big geospatial data flows available to fluvial geomorphologists within the GEE data catalog, focus on approaches to look beyond mapping wet channel extents and instead map the wider riverscape (i.e., water, sediment, vegetation) and its dynamics, and explore the unprecedented spatiotemporal scales over which GEE analyses can be applied. We share a demonstration workflow to extract active river channel masks from a section of the Cagayan River (Luzon, Philippines) then quantify centerline migration rates from multitemporal data. By enabling fluvial geomorphologists to take their algorithms to petabytes worth of data, GEE is transformative in enabling deterministic science at scales defined by the user and determined by the phenomena of interest. Equally as important, GEE offers a mechanism for promoting a cultural shift toward open science, through the democratization of access and sharing of reproducible code. This article is categorized under: Science of Water

关键词： cloud-based computing multitemporal planform analysis remote sensing river science

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：