IJARAI Volume 2 Issue 9

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.

View Full Issue

Paper 1: An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic

Abstract: 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 the mobile ad hoc networks based on fuzzy logic to discover an optimal route for transmitting data packets to the destination. This protocol helps every node in MANET to choose next efficient successor node on the basis of channel parameters like environment noise and signal strength. The protocol improves the performance of a route by increasing network life time, reducing link failure and selecting best node for forwarding the data packet to next node

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

Keywords: Fuzzy Logic; Noise; Signal Strength; MANET

PDF

Paper 2: Genetic Algorithm Utilizing Image Clustering with Merge and Split Processes Which Allows Minimizing Fisher Distance Between Clusters

Abstract: 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 to the geographic maps and classification results from Maximum Likelihood classification method.

Author 1: Kohei Arai

Keywords: image clustering; clustering; genetic algorithm; Fisher distance

PDF

Paper 3: Secure Copier Which Allows Reuse Copied Documents with Sorting Capability in Accordance with Document Types

Abstract: 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 protected by data hiding based on wavelet Multi Resolution Analysis: MRA.

Author 1: Kohei Arai

Keywords: data hiding; MPA; wavelet; secure copy

PDF

Paper 4: Bi-Directional Reflectance Distribution Function: BRDF Effect on Un-mixing, Category Decomposition of the Mixed Pixel (MIXEL) of Remote Sensing Satellite Imagery Data

Abstract: 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 the effect. Through experiments, the effect is clarified. Also the proposed unmixing method with consideration of BRDF effect is validated.

Author 1: Kohei Arai

Keywords: Unmixing; BRDF; Mixel; Lambertian surface; Category decomposition

PDF

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

Abstract: 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 three dimensional geophysical parameters have to be represented visually onto computer display in a comprehensive manner. On the other hand, there are some visualization software tools. In particular, Vis5D of software tool for animation of three dimensional imagery data can be displayed. Through experiments with NCEP/GDAS assimilation data, it is found that the proposed method is appropriate for representation of 5D assimilation data in a comprehensive manner.

Author 1: Kohei Arai

Keywords: animation; assimilation data; weather related disaster; Vis5D; NCEP/GDAS

PDF

Paper 6: Comparative Study Among Lease Square Method, Steepest Descent Method, and Conjugate Gradient Method for Atmopsheric Sounder Data Analysis

Abstract: 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 on atmospheric models is also clarified.

Author 1: Kohei Arai

Keywords: nonlinear optimization theory; solution space; atmpspheric sounder

PDF

Paper 7: An Approach with Support Vector Machine using Variable Features Selection on Breast Cancer Prognosis

Abstract: 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 10 cross validation of variable selection on input feature vectors and the performance measurement through bio-learning class performance while measuring AUC, specificity and sensitivity. The performance of the SVM is much better than the other machine learning classifier.

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

Keywords: Breast cancer; feature selection; Support vectors; Support Vector Machine; Wisconsin Breast Cancer Dataset.

PDF

Paper 8: A Discrete Mechanics Approach to Gait Generation on Periodically Unlevel Grounds for the Compass-type Biped Robot

Abstract: 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 problem, and show that a discrete control input can be obtained by solving the optimization problem with the sequential quadratic programming. Then, we develop a transformation method from a discrete control input into a continuous zero-order hold input based on the discrete Lagranged’Alembert principle. Finally, we show numerical simulations, and it turns out that our new method can generate a stable gaits on a periodically unlevel ground for the CCBR.

Author 1: Tatsuya Kai
Author 2: Takeshi Shintani

PDF

Paper 9: The Paradox of the Fuzzy Disambiguation in the Information Retrieval

Abstract: 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 the experts knowledge it can be obtained precise knowledge. In this paper to describe this paradox, is introduced a conceptual apparatus. Moreover, there is formulated an information retrieval logic. There are suggested certain applications of this logic to search information on the Web.

Author 1: Anna Bryniarska

Keywords: fuzzy disambiguation paradox, Description Logic, FuzzyDL, Information Retrieval Logic, Semantic Web.

PDF