52 Chapters
Medium 9781601322517

A Method for Search Result Accuracy and Indexing Efficiency on Author Name Search

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF
Medium 9781601322517

Building Energy Ontology for Energy Saving Based on Context-aware Reasoning

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

205

Building Energy Ontology for Energy Saving Based on

Context-aware Reasoning

Jinsoo Han, Youn-Kwae Jeong, and Ilwoo Lee

Smart Green Life Research Department

Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

Abstract - Ontology is very useful to represent knowledge as a set of concepts within a domain. A number of ontologies have been proposed and developed in many kinds of domain.

Ontology can provide a method to model a specific domain and support reasoning capability. It can also provide contextawareness easily. Therefore, we propose the building energy ontology to save the building energy based on the contextaware reasoning. The proposed ontology is composed of six sub ontologies. We describe the building energy ontology model and explain its mechanism. The energy-wasting context information is reasoned based on the abstracted event data translated from the sensor data. The operation information is drawn based on the reasoned context information. The operation information is applied to the corresponding object to get rid of the energy-wasting context. The proposed ontology can contribute to the building domain energy saving through event-driven context-aware reasoning1.

See All Chapters
Medium 9781601322517

A Novel G-tree for Accelerating the Time-consuming Skyline Query

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

47

A Novel G-tree for Accelerating the Time-consuming

Skyline Query

Y. C. Chen, H. C. Liao, and C. Lee

Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan,

Taiwan, R.O.C.

Keywords: Database, Skyline, Tree Structure

1

Introduction

In recent years, skyline algorithms [1] have been widely applied in database searches. These algorithms allow users to select their prefer objects. For example, if a user were planning a seaside holiday, he/she could search a hotel database. It is assumed that this database would provide hotel prices and the distance from each hotel to the beach, as shown in Table I. Figure 1 shows the results of mapping the hotel data to biaxial coordinates where the x axis is price and the y axis is distance from the beach. The figure shows that Hotel F is better than Hotel L in both price and distance to the beach

(i.e., F dominates L). Users will therefore select Hotel F rather than Hotel L. Compared to Hotel F, Hotel B is closer to the beach but has higher prices. The two hotels therefore cannot be compared (i.e., incomparable). Skyline algorithms operate by identifying all non-dominated data points. In this case study, the skyline data points are B, F and G, as these hotels are not dominated by any other hotels.

See All Chapters
Medium 9781601322517

Using Graph Theoretic Approach to Digital Steganography

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

270

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

Using Graph Theoretic Approach to Digital Steganography

Nasreddin Bashir El Zoghbi

P.G.V.Suresh Kumar

Dean, Dept. o f Computer Science & I.T

Tripoli University

Tripoli, Libya nzoghobi@yahoo.com

Dept. of Co mputer Science & I.T

Adama Sci&Tec Un iversity

Adama, Ethiopia pendemsuresh@gmail.co m

Getahun Mekuria

Deputy Scientific Director

Addis Ababa Institute of Technology

Addis Ababa, Ethiopia getahun4433@g mail.co m

Abstract— Steganography literally means secret writing.

The technique has been used in various forms for 2500 years or long. It has found its application in various fields including military, diplomatic, personal and intellectual property applications. Briefly stated, Steganography is the term applied to any number of processes that will hide a message within an object, where the hidden message will not be apparent to an observer. The paper describes the concept of finding natural relationship between a digital cover and a message. The relationship can be used to hide the information in cover without actually replacing or distorting any useful bits of the cover. It introduces a concept called sustainable embedding of message in a cover using natural relationship and representing it using graph theoretic approach.

See All Chapters
Medium 9781601322517

Wavelet Based Exchange Rate Forecasting with Improved Instance Based Learning

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

136

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

Wavelet Based Exchange Rate Forecasting with Improved Instance

Based Learning

Pushpalatha M P1 , and Nalini N 2 , of CSc and Eng,Sri Jayachamarajendra College of Engineering, Mysore ,Karnataka, INDIA

2 Department of ISc and Eng, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, INDIA

1 Department

Abstract— In this paper we present a novel wavelet based exchange rate forecast model integrating wavelet filters for denoising and Improved Instance Based Learning(IIBL) approach. The proposed model implements a novel technique that extends the nearest neighbor algorithm to include the concept of pattern matching so as to identify similar instances thus implementing a nonparametric regression approach.The work demonstrates the feasibility of integrating with suitable non-redundant orthogonal wavelet filters at the preprocessing stage to achieve accurate forecasting. The multi-scaling property of the wavelet transform enhances the prediction with high accuracy for volatile time series.

See All Chapters

See All Chapters