2015 26th International Workshop on Database and Expert Systems Applications (DEXA)最新文献_第5页

Clinical Decision Support Systems: A Survey of NLP-Based Approaches from Unstructured Data 临床决策支持系统:基于非结构化数据nlp方法的调查

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.47

J. Reyes-Ortíz, B. González-Beltrán, Lizbeth Gallardo-López

引用次数: 17

Inverse Problems and Data Fusion for Crop Production Applications Targeting Optimal Growth - Fertilization 面向最优生长施肥作物生产应用的反问题与数据融合

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.39

Bipjeet Kaur, R. Owusu

{"title":"Inverse Problems and Data Fusion for Crop Production Applications Targeting Optimal Growth - Fertilization","authors":"Bipjeet Kaur, R. Owusu","doi":"10.1109/DEXA.2015.39","DOIUrl":"https://doi.org/10.1109/DEXA.2015.39","url":null,"abstract":"This work in progress is a contribution to cropgrowth systems for planning and monitoring of farm activitiesand practices by farmers. The work outlines the initial findingsrelated to modelling, simulation and visualization techniques forcrop growth, specifically targeting the barley crop, such thatthe crop yield is optimized with respect to several parameters(e.g. high end user value and minimum environmental impact),thus obtaining a sustainable production. The growth processoptimization is based on information, including sensor basedmeasurements with sensor quality monitoring, from previousand the present growth season. Initially, references targetingthe importance of site specific management for obtaining theobjective of yield optimization under the constraint of minimizingthe environmental load is pointed to. This is followed by keyreferences on modelling, simulation and visualization of thecrop growth process based on information on soil quality, fieldseeding, spraying/fertilization and environmental informationin general. Finally, references to software tools, which couldform the basis for an open source platform for a planningand monitoring system for optimal crop growth in multipleapplication areas are given. The contribution concludes withproposals of research questions to be pursued in the near future.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114136809","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

A Distributed Architecture for Monitoring Private Clouds 用于监控私有云的分布式架构

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.51

J. Perez-Espinoza, Víctor Jesús Sosa Sosa, J. L. González, E. Tello-Leal

{"title":"A Distributed Architecture for Monitoring Private Clouds","authors":"J. Perez-Espinoza, Víctor Jesús Sosa Sosa, J. L. González, E. Tello-Leal","doi":"10.1109/DEXA.2015.51","DOIUrl":"https://doi.org/10.1109/DEXA.2015.51","url":null,"abstract":"Cloud monitoring has become a key tool for organizations to ensure that their critical processes are being effectively managed in a private cloud infrastructure. A cloud monitoring tool should include complex tasks such as information extraction, management and planning of alerts in order to keep the service up during failures. However, current available solutions for private clouds only support some of these tasks. In this paper we present a distributed architecture for monitoring private clouds that unifies a set of monitoring tasks in a single service. This service includes the following configurable tools: Collectors, Metasensors, Distributors and Visualizer. A collector is a software tool that gathers monitoring information from physical and/or virtual machines (PM and/or VM) by using a set of special monitoring tools dubbed Metasensors. Collectors include a neural network-based component to classify the type of current workload on the monitored resource. This classification allows system administrators to define thresholds and create alerts to prevent saturation scenarios. A distributor is a tool that assigns the resources to be monitored (PMs and VMs) to collectors and concentrates the information gathered and processed by collectors in order to obtain the current workload status information of the private cloud infrastructure. This information can be showed to system administrator by using our visualizer tool. Our distribution approach avoids data centralization and provides the service with load balancing and fault tolerance. We developed a prototype based on our architecture and conducted an experimental evaluation as a proof of concept. The evaluation revealed the feasibility of our architecture in terms of performance and precision.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125679533","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: 3

Data Mining Approach for Decision Support in Real Data Based Smart Grid Scenario 基于真实数据的智能电网决策支持的数据挖掘方法

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.33

Catarina Ribeiro, T. Pinto, Marco R. Silva, S. Ramos, Z. Vale

{"title":"Data Mining Approach for Decision Support in Real Data Based Smart Grid Scenario","authors":"Catarina Ribeiro, T. Pinto, Marco R. Silva, S. Ramos, Z. Vale","doi":"10.1109/DEXA.2015.33","DOIUrl":"https://doi.org/10.1109/DEXA.2015.33","url":null,"abstract":"The increasing use of renewable energy sources and distributed generation brought several changes to the power system operation, with huge implications to the competitive electricity markets. With the eminent implementation of microgrids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a new type of player, which allows aggregating a diversity of entities, e.g. generation, storage, electric vehicles, and consumers, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players` benefits. The contribution of this paper is a clustering methodology regarding the remuneration and tariff of VPP. It proposes a model to implement fair and strategic remuneration and tariff methodologies, using a clustering algorithm, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data sub-groups that brings the most added value for the decision making process is found, according to the players characteristics. The proposed clustering methodology has been tested in a real distribution network with 16 bus, including residential and commercial consumers, PV generation and storage units.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506689","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: 3

A Hybrid Possibilistic Algorithm for Biclustering: Application to Microarray Data Analysis 双聚类的混合可能性算法:在微阵列数据分析中的应用

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.29

Haifa Ben Saber, M. Elloumi

引用次数: 0

Pan-European Electricity Market Simulation Considering the European Power Network Capacities 考虑欧洲电网容量的泛欧电力市场模拟

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.36

T. Pinto, H. Silva, Z. Vale, Gabriel Santos, Isabel Praça

引用次数: 5

Remote Agriculture Automation Using Wireless Link and IoT Gateway Infrastructure 使用无线链路和物联网网关基础设施的远程农业自动化

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.37

Ž. Nakutis, V. Deksnys, I. Jaruevicius, E. Marcinkevicius, A. Ronkainen, P. Soumi, J. Nikander, T. Blaszczyk, Birger Andersen

引用次数: 35

A Pipeline for Multilingual Protest Event Selection and Annotation 多语言抗议事件选择与标注管道

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.73

V. Danilova

引用次数: 7

Search Results Clustering without External Resources 无外部资源的搜索结果聚类

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.67

Chris Staff, J. Azzopardi, Colin J. Layfield, D. Mercieca

引用次数: 5

Framework for Fast Prototyping of Energy-Saving Controllers 节能控制器快速原型设计框架

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.32

Jorge Martínez Gil, Georgios C. Chasparis, Andreas Bögl, Christa Illibauer, B. Freudenthaler, T. Natschläger

引用次数: 0