检索结果-内蒙古大学图书馆

Conferencia Latinoamericana En Informatica (CLEI)

作者： Vinicius Facco Rodrigues Gustavo Rostirolla Rodrigo da Rosa Righi Cristiano André da Costa Jorge Luis Victoria Barbosa Applied Computing Graduate Program Unisinos São Leopoldo RS Brazil Applied Computing Graduate Program Unisinos RS Brazil

Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application's load pattern in the elasticity? This article answers these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the upper threshold influences the application time more than the lower one.

关键词： Cloud computing Elasticity Computational modeling Manuals Monitoring High performance computing

来源：评论

学校读者我要写书评

暂无评论

Dealing with standard and reverse motion of multi-legged robots joints

Dealing with standard and reverse motion of multi-legged rob...

引用

10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013

作者： Llantada, Alan Gómez, Arthur Tórgo Villamil, Marta Becker Universidade do Vale do Rio dos Sinos Applied Computing - Graduate Program Av. Unisinos 950 Sao Leopoldo RS Brazil

ISBN: (纸本)9789898565716

Modelling of articulated figures such as simple hierarchical relationships are suitable for most cases of animation. Typically, for the representation of human and animal figures, a tree topology is sufficient. But complex high-dimensional articulated structures with many end-effectors and the movement that can be generated in any joint in any direction, are extremely complex to model. Multi-legged robots made to attend applications which needs the extreme versatility to climb or move into places of very difficult access are more efficient if its joints can perform motion at standard and reverse direction, its segments can be moved by more than one joint and any of its joints can be the root of the motion chain. This article presents an approach to deal with these gaps in modeling the motion topology of legged-robots based on rotation of joints references frames. We also present an aplication of an hybrid algorithm based on Genetic Algorithm and Tabu Search to find a good quality solution to the robot motion sequences.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

WSAgent: An agent based on web services to promote interoperability between heterogeneous systems in the health domain

WSAgent: An agent based on web services to promote interoper...

引用

19th Annual ACM Conference on Object-Oriented programming, Systems, Languages, and Applications, OOPSLA'04

作者： Rheinheimer, Letícia R. Martins, Júnior M. Pinto, Sérgio Crespo C.S. Interdisciplinar Postgraduation Program on Applied Computing UNISINOS P. O. Box 15.064 91.501-970 - São Leopoldo - RS Brazil

This paper describes a Software Agent called WSAgent, which combines technologies such as Web Services, Frameworks and Design Patterns in the construction of a bind to grant interoperability, reuse and flexibility bet... 详细信息

ISBN: (纸本)1581138334

关键词： Interoperability

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to 'A virtual assistant for primary care's food and nutrition surveillance system: Development and validation study in Brazil' [Patient Educ Couns 130 (2025) 108461]

引用

Patient education and counseling 2025年 136卷 108783页

作者： Eliza Sella Battisti Mateus Klein Roman Ericles Andrei Bellei Vanessa Ramos Kirsten Ana Carolina Bertoletti De Marchi Greisse Viero Da Silva Leal Graduate Program in Human Aging Institute of Health University of Passo Fundo (UPF) Passo Fundo RS Brazil Graduate Program in Gerontology Department of Foods and Nutrition Federal University of Santa Maria (UFSM) Palmeira das Missões RS Brazil. Graduate Program in Applied Computing Institute of Technology University of Passo Fundo (UPF) Passo Fundo RS Brazil. Graduate Program in Human Aging Institute of Health University of Passo Fundo (UPF) Passo Fundo RS Brazil. Electronic address: 168729@upf.br.

来源：评论

学校读者我要写书评

暂无评论

EAVIRA: Energy-Aware Virtual Infrastructure Reallocation Algorithm

EAVIRA: Energy-Aware Virtual Infrastructure Reallocation Alg...

引用

Brazilian Symposium on computing System Engineering (SBESC)

作者： Denivy B. Ruck Maurício A. Pillon Charles C. Miers Guilherme P. Koslovski Department of Computer Science Graduate Program in Applied Computing

The elastic provisioning of Virtual Infrastructures (VIs) enables a dynamic management of cloud resources (computing and communication) in order to meet the hosted application's requirements. Thus, to perform elasticity requests, providers usually rely on reallocation mechanisms and policies. The concerns regarding the environment and the operational costs indicate energy consumption of the data centers as recurring topic in providers policies. Moreover, energy-aware provisioning is beneficial for tenants also. Recent cost models have introduced an implicit incentive to use computing and networking resources just when need to avoid high rent costs. However, reallocation and elasticity requests can unbalance the Data Center (DC) unnecessarily increasing the number of active servers. In this paper we propose EAVIRA algorithm, which takes into account the proportional sharing of CPU usage of DC servers to calculate individual usage costs to: disable idle equipments, and reallocate VIs. EAVIRA acts on online requests for elasticity configuration and performs an offline load balancing, triggered by the Infrastructure as a Service (IaaS) provider. Our experimental analysis indicates a reduction of energy consumption and an increasing on acceptance ratio of allocation requests.

关键词： Resource management Servers Energy consumption Elasticity Cloud computing Load management Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Recognition of Facial Movements of App Designed for Rehabilitation of People with Facial Paralysis

International Journal of Interactive Mobile Technologies

引用

International Journal of Interactive Mobile Technologies 2024年第13期18卷 112-129页

作者： Corrêa, Ana Grasielle Dionísio Ravaglio, Anna de Souza Cruz Navikas, Flávio Hergersheimer Do Amaral, Jucelio Delmondes Filho, Paulo César Machado Cunha, Daniela Vieira Silva, Matheus Gois de Lima Rodrigues, Bruno da Silva Faculty of Computing and Informatics and the Postgraduate Program in Applied Computing Mackenzie Presbiterian University São Paulo Brazil

Peripheral facial paralysis (PFP) causes deficits in muscle and sensory functions of the face due to damage to the facial nerve. In this study, we evaluated the effectiveness of the "Fisiobem" app in rehabilitating patients with PFP through facial mimicry exercises. The app uses the device’s camera to identify the user and measure the range of motion during the exercises, applying the ARKit framework to quantify the intensity of the movements. We conducted a usability study with 34 participants unaffected by PFP, performing mimics with different amplitudes. Results show that glasses did not affect recognition accuracy in exercises such as raising eyebrows, frowning, and closing the eyes tightly. As for wrinkling the nose exercise, glasses impacted higher intensities. As for the beard or mustache, lower lip protrusion, compressing the lips, smiling, showing teeth and blowing out filling cheeks were not affected. However, when smiling with lips together, beard and mustache influenced intensities above 75%. It is important to highlight that this study has limitations, such as the sample size and lack of consideration for ethnic diversity among participants. Future research with larger and more diverse samples is needed to validate and generalize these findings and explore the nuances of interactions between facial features and facial recognition algorithms. Despite these limitations, the approach facilitated by the "Fisiobem" application offers significant benefits, especially for patients with PFP who face challenges in accessing specialized therapists. It allows patients to complement their treatment by performing guided facial mimicry exercises at home. The application helps individuals accurately perform the exercises and effectively track the progress of their rehabilitation. © 2024 by the authors of this article.

关键词： Glass

来源：评论

学校读者我要写书评

暂无评论

DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing

DruSiLa: an integrated, in-silico disease similarity-based a...

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Amatya, Pratuat Stolfi, Paola Lombardi, Flavio Tieri, Paolo Sapienza University of Rome Data Science Master Program Rome Italy IAC Institute for Applied Computing CNR National Research Council of Italy Rome Italy

ISBN: (纸本)9781665468190

The importance of faster drug development has never been more evident than in present time when the whole world is struggling to cope up with the COVID-19 pandemic. At times when timely development of effective drugs and treatment plans could potentially save millions of lives, drug repurposing is one area of medicine that has garnered much of research interest. Apart from experimental drug repurposing studies that happen within wet labs, lot many new quantitative methods have been proposed in the literature. In this paper, one such quantitative methods for drug repurposing is implemented and evaluated. DruSiLa (DRUg in-SIlico LAboratory) is an in-silico drug repurposing method that leverages disease similarity measures to quantitatively rank existing drugs for their potential therapeutic efficacy against novel diseases. The proposed method makes use of available, manually curated, and open datasets on diseases, their genetic origins, and disease-related patho-phenotypes. DruSiLa evaluates pairwise disease similarity scores of any given target disease to each known disease in our dataset. Such similarity scores are then propagated through disease-drug associations, and aggregated at drug nodes to rank them for their predicted effectiveness against the target disease. © 2022 IEEE.

关键词： Bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Spectral Model for Soybean Yield Estimate Using MODIS/EVI Data

引用

International Journal of Geosciences 2013年第9期4卷 1233-1241页

作者： Anibal Gusso Jorge Ricardo Ducati Mauricio Roberto Veronez Damien Arvor Luiz Gonzaga da Silveira Jr. Environmental Engineering UNISINOSSao LeopoldoBrazil Remote Sensing Center and Astronomy Department UFRGSPorto AlegreBrazil Graduate Program in Geology UNISINOSSao LeopoldoBrazil Institut de Recherche Pour le Developpement(IRD) MontpellierFrance Graduate Program in Applied Computing UNISINOSSao LeopoldoBrazil

Attaining reliable and timely agricultural estimates is very important everywhere, and in Brazil, due to its characteristics, this is especially true. In this study, estimations of crop production were made based on the temporal profiles of the Enhanced Vegetation Index (EVI) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) images. The objective was to evaluate the coupled model (CM) performance of crop area and crop yield estimates based solely on MODIS/EVI as input data in Rio Grande do Sul State, which is characterized by high variability in seasonal soybean yields, due to different crop development conditions. The resulting production estimates from CM were compared to official agricultural statistics of Brazilian Institute of Geography and Statistics (IBGE) and the National Company of Food Supply (CONAB) at different levels from 2000/2001 to 2010/2011 crop years. Results obtained with CM indicate that its application is able to generate timely production estimates for soybean both at municipality and local levels. Validation estimates with CM at State level obtained R2 = 0.95. Combining all cropping years at municipality level, estimates were highly correlated to official statistics from IBGE, with R2 = 0.91 and RMSD = 10,840 tons. Spatially interpolated comparisons of yield maps obtained from the CM estimates and IBGE data also showed visual similarity in their spatial distribution. Local level comparisons were performed and presented R2 = 0.95. Implications of this work point out that time-series analysis of production estimates are able to provide anticipated spatial information prior to the soybean harvest.

关键词： Remote Sensing Coupled Model Soy Yield Forecast Satellite Images

来源：评论

学校读者我要写书评

暂无评论

Redesigning transaction load balancing on electronic funds transfer scenarios 14

Redesigning transaction load balancing on electronic funds t...

引用

29th Annual ACM Symposium on applied computing, SAC 2014

作者： Da Rosa Righi, Rodrigo Da Costa, Cristiano André Gonzaga Jr., Luiz Farias, Kleinner Andrade, Alexandre Luis Graebin, Lucas Universidade do Vale do Rio dos Sinos Applied Computing Graduate Program Unisinos Av. 950 São Leopoldo RS Brazil

ISBN: (纸本)9781450324694

The use of electronic medias for payment has been increasingly adopted, instead of employing money in currency paper or check directly. Considering this electronic funds transfer (EFT) scenario, we developed a model called GetLB which comprises not only a completely new and efficient scheduler but also a cooperative communication infrastructure for handling heterogeneous and dynamic environments. The scientific contribution consists of a scheduling heuristic that combines static data from transactions and dynamic one from processing nodes to overcome the limitations of Round-Robin. Besides the GetLB's description, this article also presents a prototype evaluation by using both traces and configurations obtained with a real EFT company. Copyright 2014 ACM.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Climate Precipitation Prediction by Neural Network

引用

Journal of Mathematics and System Science 2015年第5期5卷 207-213页

作者： Juliana Aparecida Anochi Haroldo Fraga de Campos Velho Applied Computing Graduate Program National Institute for Space Research (INPE) Brazil. Associated Laboratory for Computing and Applied Mathematics National Institute for Space Research (INPE).

In this work a neural network model for climate forecasting is presented. The model is built by training a neural network with available reanalysis data. In order to assess the model, the development methodology considers the use of data reduction strategies that eliminate data redundancy thus reducing the complexity of the models. The results presented in this paper considered the use of Rough Sets Theory principles in extracting relevant information from the available data to achieve the reduction of redundancy among the variables used for forecasting purposes. The paper presents results of climate prediction made with the use of the neural network based model. The results obtained in the conducted experiments show the effectiveness of the methodology, presenting estimates similar to observations.

关键词： Climate Prediction Neural Networks Rough Sets Theory

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：