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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJARAI Vol. 2 Issue 9 (2013)

Open Access | | 9 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.

1

An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic

Author 1: Supriya Srivastava Author 2: A. K. Daniel

A MANET is a collection of mobile nodes communicating and cooperating with each other to route a packet from the source to their destinations. A MANET is used to support dynamic routing strategies in absence of wired infrastructure and centralized administration. In this paper, we propose a routing algorithm for… Read full abstract & cite →

Fuzzy Logic Noise Signal Strength MANET
2

Genetic Algorithm Utilizing Image Clustering with Merge and Split Processes Which Allows Minimizing Fisher Distance Between Clusters

Author 1: Kohei Arai

Genetic algorithm utilizing image clustering with merge and split processes which allows minimizing Fisher distance between clusters is proposed. Through experiments with simulation and real remote sensing satellite imagery data, it is found that the proposed clustering method is superior to the conventional k-means and ISODATA clustering methods in comparison… Read full abstract & cite →

image clustering clustering genetic algorithm Fisher distance
3

Secure Copier Which Allows Reuse Copied Documents with Sorting Capability in Accordance with Document Types

Author 1: Kohei Arai

Secure copy machine which allows reuse copied documents with sorting capability in accordance with the document types. Through experiments with a variety of document types, it is found that copied documents can be shared and stored in database in accordance with automatically classified document types securely. The copied documents are… Read full abstract & cite →

data hiding MPA wavelet secure copy
4

Bi-Directional Reflectance Distribution Function: BRDF Effect on Un-mixing, Category Decomposition of the Mixed Pixel (MIXEL) of Remote Sensing Satellite Imagery Data

Author 1: Kohei Arai

Method for unmixing, category decomposition of the mixed pixel (MIXEL) of remote sensing satellite imagery data taking into account the effect due to Bi-Directional Reflectance Distribution Function: BRDF is proposed. Although there is not so small BRDF effect on estimation mixing ratios, conventional unmixing methods do not take into account… Read full abstract & cite →

Unmixing BRDF Mixel Lambertian surface Category decomposition
5

Visualization of 5D Assimilation Data for Meteorological Forecasting and Its Related Disaster Mitigations Utilizing Vis5D of Software Tool

Author 1: Kohei Arai

Method for visualization of 5D assimilation data for meteorological forecasting and its related disaster mitigations utilizing Vis5D of software tool is proposed. In order to mitigate severe weather related disaster, meteorological forecasting and prediction is needed. There are some numerical weather forecasting data, in particular, assimilation data. Time series of… Read full abstract & cite →

animation assimilation data weather related disaster Vis5D NCEP/GDAS
6

Comparative Study Among Lease Square Method, Steepest Descent Method, and Conjugate Gradient Method for Atmopsheric Sounder Data Analysis

Author 1: Kohei Arai

Comparative study among Least Square Method: LSM, Steepest Descent Method: SDM, and Conjugate Gradient Method: CGM for atmospheric sounder data analysis (estimation of vertical profiles for water vapor) is conducted. Through simulation studies, it is found that CGM shows the best estimation accuracy followed by SDM and LSM. Method dependency… Read full abstract & cite →

nonlinear optimization theory solution space atmpspheric sounder
7

An Approach with Support Vector Machine using Variable Features Selection on Breast Cancer Prognosis

Author 1: Sandeep Chaurasia Author 2: Dr. P Chakrabarti

Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of machine learning. In this paper we have used an approach by using support vector machine classifier to construct a model that is useful for the breast cancer survivability prediction. We have used both 5 cross and… Read full abstract & cite →

Breast cancer feature selection Support vectors Support Vector Machine Wisconsin Breast Cancer Dataset.
8

A Discrete Mechanics Approach to Gait Generation on Periodically Unlevel Grounds for the Compass-type Biped Robot

Author 1: Tatsuya Kai Author 2: Takeshi Shintani

This paper addresses a gait generation problem for the compass-type biped robot on periodically unlevel grounds. We first derive the continuous/discrete compass-type biped robots (CCBR/DCBR) via continuous/discrete mechanics, respectively. Next, we formulate a optimal gait generation problem on periodically unlevel grounds for the DCBR as a finite dimensional nonlinear optimization… Read full abstract & cite →

9

The Paradox of the Fuzzy Disambiguation in the Information Retrieval

Author 1: Anna Bryniarska

Current methods of data mining, word sense disambiguation in the information retrieval, semantic relation, fuzzy sets theory, fuzzy description logic, fuzzy ontology and their implementation, omit the existence of paradox called here the paradox of the fuzzy disambiguation. The paradox lies in the fact that due to fuzzy data and… Read full abstract & cite →

fuzzy disambiguation paradox Description Logic FuzzyDL Information Retrieval Logic Semantic Web.
IJARAI Journal Cover