IJARAI Vol. 4 Issue 10 (2015)

Open Access | | 7 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Diagrammatic Representation as a Tool for Clarifying Logical Arguments

Author 1: Sabah Al-Fedaghi

Knowledge representation of reasoning processes is a central notion in the field of artificial intelligence, especially for knowledge-based agents, because such representation facilitates knowledge of action outcomes necessary for optimum performance by problem-solving agents in complex situations. Logic is the primary vehicle by which knowledge is represented in knowledge-based agents… Read full abstract & cite →

artificial intelligence diagrammatic representation conditionals argument forms logical argumentation modus ponens

Abstract doi.org/10.14569/IJARAI.2015.041001 PDF

Relation Between Chlorophyll-A Concentration and Red Tide in the Intensive Study Area of the Ariake Sea, Japan in Winter Seasons by using MODIS Data

Author 1: Kohei Arai

Relation between chlorophyll-a concentration and red tide in the intensive study area of the back of Ariake Sea, Japan in the recent winter seasons is investigated by using MODIS data. Mechanism of red tide appearance is not so clarified. On the other hand, chlorophyll-a concentration can be estimated with satellite… Read full abstract & cite →

chlorophyl-a concentration red tide diatom MODIS satellite remote sensing

Abstract doi.org/10.14569/IJARAI.2015.041002 PDF

Estimation of Rice Crop Quality and Harvest Amount from Helicopter Mounted NIR Camera Data and Remote Sensing Satellite Data

Author 1: Kohei Arai Author 2: Masanoori Sakashita Author 3: Osamu Shigetomi Author 4: Yuko Miura

Estimation of rice crop quality and harvest amount in paddy fields with the different rice stump density derived from helicopter mounted NIR camera and remote sensing satellite data is made. Using the intensive study site of rice paddy fields with managing, estimation of protein content in rice crop and nitrogen… Read full abstract & cite →

Rice Crop Rice Leaf Nitrogen content Protein content NDVI

Abstract doi.org/10.14569/IJARAI.2015.041003 PDF

A Design of a Multi-Agent Smart E-Examiner

Author 1: Khaled Nasser ElSayed

this paper proposes a design of an application of multi agent technology on a semantic net knowledge base, to build a smart e-examiner system. This e-examiner could be used in building and grading a personalized special on-line e-assessment. The produced e-assessment should cover the majority of examined topics and material… Read full abstract & cite →

m-Learning e-Assessments Multi-agent Semantic net Examiner

Abstract doi.org/10.14569/IJARAI.2015.041004 PDF

Improved Text Reading System for Digital Open Universities

Author 1: Mahamadou ISSOUFOU TIADO Author 2: Abdou IDRISSA Author 3: Karimou DJIBO

The New Generation of Digital Open Universities (DOUNG) is a recently proposed model using m-learning and cloud computing option and based on an integrated architecture built with open networks as GSM and Internet. The goal of achieving the ubiquitous ability of the m-learning is having the large number of languages… Read full abstract & cite →

m-learning distance learning digital open universities cloud-computing audio warehouse

Abstract doi.org/10.14569/IJARAI.2015.041005 PDF

Recognition of Similar Wooden Surfaces with a Hierarchical Neural Network Structure

Author 1: Irina Topalova

The surface quality assurance check is an important task in industrial production of wooden parts. There are many automated systems applying different methods for preprocessing and recognition/classification of surface textures, but in the most cases these methods cannot produce very high recognition accuracy. This paper aims to propose a method… Read full abstract & cite →

recognition preprocessing neural network wooden surface

Abstract doi.org/10.14569/IJARAI.2015.041006 PDF

Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services

Author 1: Chinedu Pascal Ezenkwu Author 2: Simeon Ozuomba Author 3: Constance kalu

The emergence of many business competitors has engendered severe rivalries among competing businesses in gaining new customers and retaining old ones. Due to the preceding, the need for exceptional customer services becomes pertinent, notwithstanding the size of the business. Furthermore, the ability of any business to understand each of its… Read full abstract & cite →

machine learning data mining big data customer segmentation MATLAB k-Means algorithm customer service clustering extrapolation

Abstract doi.org/10.14569/IJARAI.2015.041007 PDF

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