The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)最新文献_第2页

A new implementation to speed up Genetic Programming 一种加速遗传编程的新实现

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049871

Thi Huong Chu, Nguyen Quang Uy

引用次数: 0

SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks SSTBC:基于睡眠调度和树的无线传感器网络节能路由协议

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049896

N. Tan, Nguyen Dinh Viet

{"title":"SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks","authors":"N. Tan, Nguyen Dinh Viet","doi":"10.1109/RIVF.2015.7049896","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049896","url":null,"abstract":"Since sensor nodes are battery power constrained devices in wireless sensor network (WSN), so how to use the energy of sensor nodes efficiently to prolong the network lifetime is a chief challenge for designing routing protocols. To solve this problem, in this paper, we propose sleep scheduled and tree-based clustering approach routing algorithm (SSTBC) for energy-efficient in WSN. SSTBC preserves energy by turning off radio (entering sleep mode) of either impossible or unnecessary nodes, which observe almost the same information, base on their location information to remove redundant data. In addition, to further reduce energy dissipation of communication in network, we build minimum spanning tree with the root as the cluster head (CH) from active nodes in a cluster to forward data packets to base station (BS). Our simulation results show that the network lifetime with using of our proposed protocol can be improved about 250% and 23% compared to low-energy adaptive clustering hierarchy (LEACH) and power-efficient gathering in sensor information system (PEGASIS), respectively.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122096125","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: 26

Identifying semantic and syntactic relations from text documents 从文本文档中识别语义和句法关系

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049887

Chien D. C. Ta, Tuoi Phan Thi

{"title":"Identifying semantic and syntactic relations from text documents","authors":"Chien D. C. Ta, Tuoi Phan Thi","doi":"10.1109/RIVF.2015.7049887","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049887","url":null,"abstract":"Semantic and syntactic relations play an important role of applications in recent years, especially on Semantic Web, Information Retrieval, Information Extraction, and Question Answering. Semantic and syntactic relations content main ideas in the sentences or paragraphs. This paper presents our proposed algorithms for identifying semantic and syntactic relations between objects and their properties in order to enrich a domain specific ontology, namely Computing Domain Ontology, which is used in Information extraction system. We combine the methodologies of Natural Language Processing with Machine Learning in these proposed algorithms in order to extract the explicit and implicit relations. We exploit these relations from distinct resources, such as WordNet, Wikipedia and text documents of ACM Digital Libraries. We also use Natural Language Processing tools, such as OpenNLP, Stanford Lexical Dependency Parser in order to analyze and parse sentences. A random sample among 245 categories of ACM Categories is used to evaluate. Results generated show that our proposed approach achieves high precision.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477088","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

Application of description logic learning in abnormal behaviour detection in smart homes 描述逻辑学习在智能家居异常行为检测中的应用

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049866

A. C. Tran

引用次数: 3

Providing generic support for IoT and M2M for mobile devices 为移动设备提供IoT和M2M通用支持

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049898

C. Doukas, Luca Capra, Fabio Antonelli, Erinda Jaupaj, A. Tamilin, Iacopo Carreras

引用次数: 18

Experimental analysis of new algorithms for learning ternary classifiers 三元分类器学习新算法的实验分析

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049868

Jean-Daniel Zucker, Y. Chevaleyre, Dao Van Sang

{"title":"Experimental analysis of new algorithms for learning ternary classifiers","authors":"Jean-Daniel Zucker, Y. Chevaleyre, Dao Van Sang","doi":"10.1109/RIVF.2015.7049868","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049868","url":null,"abstract":"Discrete linear classifier is a very sparse class of decision model that has proved useful to reduce overfitting in very high dimension learning problems. However, learning discrete linear classifier is known as a difficult problem. It requires finding a discrete linear model minimizing the classification error over a given sample. A ternary classifier is a classifier defined by a pair (w, r) where w is a vector in {-1, 0, +1}n and r is a nonnegative real capturing the threshold or offset. The goal of the learning algorithm is to find a vector of weights in {-1, 0, +1}n that minimizes the hinge loss of the linear model from the training data. This problem is NP-hard and one approach consists in exactly solving the relaxed continuous problem and to heuristically derive discrete solutions. A recent paper by the authors has introduced a randomized rounding algorithm [1] and we propose in this paper more sophisticated algorithms that improve the generalization error. These algorithms are presented and their performances are experimentally analyzed. Our results show that this kind of compact model can address the complex problem of learning predictors from bioinformatics data such as metagenomics ones where the size of samples is much smaller than the number of attributes. The new algorithms presented improve the state of the art algorithm to learn ternary classifier. The source of power of this improvement is done at the expense of time complexity.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116135391","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

Improving Sort-Tile-Recusive algorithm for R-tree packing in indexing time series 索引时间序列中r树填充的改进sort - tile - recurrent算法

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049885

Bui Cong Giao, D. T. Anh

引用次数: 9

An indoor localization system based on 3D magnetic fingerprints for smart buildings 基于三维磁指纹的智能建筑室内定位系统

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049897

M. V. Moreno, A. Skarmeta

{"title":"An indoor localization system based on 3D magnetic fingerprints for smart buildings","authors":"M. V. Moreno, A. Skarmeta","doi":"10.1109/RIVF.2015.7049897","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049897","url":null,"abstract":"Human behavior modeling and activity interpretation have been of increasing interest in the Information Society for long time. Internet of Things technologies enhance the situational awareness or “smartness” of service providers and consumers alike. On the other hand, user-centric sensing systems are ideal candidates for ubiquitous observation purposes thanks to the indispensable role of mobile phones in everyday life. This paper presents a novel approach for mobile phone centric observation applied to indoor localization for smart buildings. The goal is to provide accurate localization data which can be used for offering customized IoT-based services in buildings. Unlike existing work which uses the intensity of magnetic field for fingerprinting, our approach uses all three components of the measured magnetic field vectors to achieve accurate results of localization. The resulting localization system does not rely on any infrastructure devices and is therefore easy to manage and deploy. Our approach covers, with test, comparison and justified selection, every tools and methods necessary to implement a genuine experiment in a real building which gives order of a few meters precision.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119492","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: 7

Recognizing logical parts in Vietnamese legal texts using Conditional Random Fields 使用条件随机场识别越南法律文本中的逻辑部分

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049865

N. T. Son, Nguyễn Thụy Phương Duyên, H. Quoc, Le-Minh Nguyen

引用次数: 3

An adaptable framework to deploy complex applications onto multi-cloud platforms 可将复杂应用程序部署到多云平台的适应性框架

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-02-26 DOI: 10.1109/RIVF.2015.7049894

L. Pham, A. Tchana, D. Donsez, Vincent Zurczak, Pierre-Yves Gibello, N. D. Palma

{"title":"An adaptable framework to deploy complex applications onto multi-cloud platforms","authors":"L. Pham, A. Tchana, D. Donsez, Vincent Zurczak, Pierre-Yves Gibello, N. D. Palma","doi":"10.1109/RIVF.2015.7049894","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049894","url":null,"abstract":"Cloud computing is nowadays a popular technology for hosting IT services. However, deploying and reconfiguring complex applications involving multiple software components, which are distributed on many virtual machines running on single or multi-cloud platforms, is error-prone and time-consuming for human administrators. Existing deployment frameworks are most of the time either dedicated to a unique type of applica- tion (e.g. JEE applications) or address a single cloud platform (e.g. Amazon EC2). This paper presents a novel distributed application management framework for multi-cloud platforms. It provides a Domain Specific Language (DSL) which allows to describe applications and their execution environments (cloud platforms) in a hierarchical way in order to provide a fine-grained management. This framework implements an asynchronous and parallel deployment protocol which accelerates and make resilient the deployment process. A prototype has been developed to serve conducting intensive experiments with different type of applications (e.g. OSGi application and ubiquitous big data analytics for IoT) over disparate cloud models (e.g. private, hybrid, and multi-cloud), which validate the genericity of the framework. These experiments also demonstrate its efficiency comparing to existing frameworks such as Cloudify.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128001143","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: 13