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IAES International Journal of Artificial Intelligence (IJ-AI)

IJAI
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Published by Institute of Advanced Engineering and Science

ISSN : 20894872 EISSN : 22528938 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Engineering

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like genetic algorithm, ant colony optimization, etc); reasoning and evolution; intelligence applications; computer vision and speech understanding; multimedia and cognitive informatics, data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning; technology and computing (like particle swarm optimization); intelligent system architectures; knowledge representation; bioinformatics; natural language processing; multiagent systems; etc.

Arjuna Subject : -

Articles 6 Documents

Search results for , issue "Vol 3, No 2: June 2014" : 6 Documents clear

Self Tuning Based Adaptive Fuzzy Logic Controller in Lab view for Sterilizing Equipments P. J. Ragu
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

In this paper, temperature monitoring of sterilizing equipment system was established with the help of fuzzy and self tuning Adaptive fuzzy logic controller designed in Lab VIEW software. It combines the advantages of both fuzzy logic and self tuning Adaptive fuzzy logic controller. The implementation attempts to rectify the errors between the measured value and the set point which helps to achieve efficient temperature control. The Adaptive fuzzy controller uses defined rules to control the system based on the current values of input variables and temperature errors. The simulation results presented in order to evaluate the proposed method. The result shows that self tuning Adaptive fuzzy logic controller was tolerant to disturbance and the temperature control is most accurate.

Visual Surveillance for Hajj and Umrah: A Review Yasir Salih Ali; Mohammed Talal Simsim
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

This paper presents advances on crowd management research with specific interest on high density crowds such as Hajj and Umrah crowds. In the past few years, there has been increasing interest in pursuing video analytics and visual surveillance to improve the security and safety of pilgrimages during their stay in Mecca. Despite the fact that visual surveillance research has matured significantly in the rest of the world and had been implemented in many scenarios, research on visual surveillance for Hajj and Umrah application still remains at its early stages and there are many issues that need to be addressed in future research. This is mainly because Hajj is a very unique event that shows the clustering of millions of people in small area where most advanced image processing and computer vision algorithms fail to generate accurate analysis of the image content. There is a strong need to develop new algorithms specifically tailored for Hajj and Umrah applications. This review aims to give attentions to these interesting future research areas based on analysis of current visual surveillance research. The review also pinpoint to pioneer techniques on visual surveillance in general that can be customized to Hajj and Umrah applications.

Ontology Based RT-Delphi with Explanation Capabilities Ahmed Omran; Motaz Khorshid
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Real-Time (RT) Delphi approach is widely used method for knowledge acquisition process. The current RT-Delphi approach ignores considering the unifying domain concepts and their attributes. This limitation can provide the contradiction of the domain experts' judgments and increasing misunderstandings when talking about specific topics. In addition, the current RT-Delphi ignores the explanation capabilities for consensus results, which it is vital for policy/decision makers to be more confidence. The core of this research is to develop ontology-based RT-Delphi with explanation capabilities. We applied the developed approach in to two crucial important case studies in Egypt, which are food security and water security.

Yoruba Language and Numerals’ Offline Interpreter Using Morphological and Template Matching Olakanmi Olufemi Oladayo
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Yoruba as a language has passed through generation reformations making some of the old documents in the archive to be unreadable by the present generation readers. Apart from this, some Yoruba writers usually mixed English numerals while writing due to brevity and conciseness of English numeral compare to Yoruba numerals which are combination of several characters. Re-typing such historical documents may be time consuming, therefore a need for an efficient Optical Character Reader (OCR) which will not only effectively recognize Yoruba texts but also converts all the English numerals in the document to Yoruba numerals.Several Optical Character Reader (OCR) systems had been developed to recognize characters or texts of some languages such as English, Arabic, Japanese, Chinese, and Korean, however, despite the significant contribution of Yoruba language to historical documentation and communication, it was observed that there is no particular OCR system for the language. In this paper correlation and template matching techniques were used to develop an OCR for the recognition of Yoruba based texts and convert English numerals in the document to Yoruba numerals. Experimental results show the relatively high accuracy of the developed OCR when it was tested on all size Yoruba alphabets and numerals.

Extractive Based Single Document Text Summarization Using Clustering Approach Pankaj Kailas Bhole; A. J. Agrawal
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Text summarization is an old challenge in text mining but in dire need of researcher’s attention in the areas of computational intelligence, machine learning and natural language processing. We extract a set of features from each sentence that helps identify its importance in the document. Every time reading full text is time consuming. Clustering approach is useful to decide which type of data present in document. In this paper we introduce the concept of k-mean clustering for natural language processing of text for word matching and in order to extract meaningful information from large set of offline documents, data mining document clustering algorithm are adopted.

Handover Decision Mechanism in Interworking Technologies Using Radial Basis Functions Payal Mahajan; Kuldeep Singh; Hardeep Kaur
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

As a mobile user travels between radio networks, a handover mechanism is required to vary its radio connection. The persistence of a call is one of the major quality measurements in wireless cellular networks. Handover mechanism permits a cellular network to offer such a facility by again allocating an ongoing call from one base station to another base station. To achieve handover neural network techniques can be used. In this paper, a handover decision mechanism is proposed using Radial Basis function (RBF) of neural networks.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Imam Much Ibnu Subroto

Contact Email
imam@unissula.ac.id

Phone
-

Journal Mail Official
ijai@iaesjournal.com

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Imam Much Ibnu Subroto

Contact Email imam@unissula.ac.id

Phone -

Journal Mail Official ijai@iaesjournal.com

Editorial Address -

Location Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Imam Much Ibnu Subroto

Contact Email
imam@unissula.ac.id

Phone
-

Journal Mail Official
ijai@iaesjournal.com

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA