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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 10 (2013)

Open Access | | 5 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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1

Cheap and Effective System for Parking Avoidance of the Car Without Permission at Disabled Parking Permit Spaces

Author 1: Kohei Arai

Cheap and effective system for parking avoidance of the car without permission at Disabled Parking Permit: DPP spaces is proposed. The proposed system is validated through some experiments. Multiple methods for detection of car in the DPP space using ultrasound sensors, Near Infrared: NIR cameras, RFID writer and reader with IC card, IC chip and IC tag as well as ETC system and GPS receiver are proposed. It is found that these proposed car detection systems work well. Furthermore, it is effective if more than two systems out of the proposed car detection systems are used for avoid car parking without permission.

Disabled Parking Permit ultrasound sensor Near Infrared cameras RFID writer and reader with IC card IC chip and IC tag ETC system GPS receiver
Abstract doi.org/10.14569/IJARAI.2013.021001 PDF
2

Noise Suppressing Edge Enhancement Based on Genetic Algorithm Taking Into Account Complexity of Target Images Measured with Fractal Dimension

Author 1: Kohei Arai

Method for noise suppressing edge enhancement based on genetic algorithm taking into account complexity of target images measured with fractal dimension is proposed. Through experiments with satellite remote sensing imagery data with additive noise, it is found that the proposed method shows appropriate edge enhancing performance with suppressing the additive noise in accordance with complexity of target images. It is also found that the proposed method requires a small computer resources in comparison to the method based on Simulated Annealing: SA.

edge enhancement fractal dimension genetic algorithm simulated annealing remote sensing satellite imagery
Abstract doi.org/10.14569/IJARAI.2013.021002 PDF
3

Comparison Among Cross, Onboard and Vicarious Calibrations for Terra/ASTER/VNIR

Author 1: Kohei Arai

Comparative study on radiometric calibration methods among onboard, cross and vicarious calibration for visible to near infrared radiometers onboard satellites is conducted. The data sources of the aforementioned three calibration methods are different and independent. Therefore, it may say that the reliable Radiometric Calibration Accuracy: RCC would be the RCC which are resemble each other two of three RCCs. As experimental results, it is found that vicarious and cross calibration are reliable than onboard calibration. Also vicarious calibration based cross calibration method is proposed here. The proposed cross calibration method should be superior to the conventional cross calibration method based on band-to-band data comparison. Through experiments, it is also found that the proposed cross calibration is better than the conventional cross calibration. The radiometric calibration accuracy of the conventional cross calibration method can be evaluated by using the proposed cross calibration method.

vicarious calibration cross calibration visible to near infrared radiometer earth observation satellite remote sensing radiative transfer equation
Abstract doi.org/10.14569/IJARAI.2013.021003 PDF
4

Image Retrieval and Classification Method Based on Euclidian Distance Between Normalized Features Including Wavelet Descriptor

Author 1: Kohei Arai

Image retrieval method based on Euclidian distance between normalized features with their mean and variance in feature space is proposed. Effectiveness of the normalization is evaluated together with a validation of the proposed image retrieval method. The proposed method is applied for discrimination and identifying dangerous red tide species based on wavelet utilized classification methods together with texture and color features. Through experiments, it is found that classification performance with the proposed wavelet derived shape information extracted from the microscopic view of the phytoplankton is effective for identifying dangerous red tide species among the other red tide species rather than the other conventional texture, color information. Moreover, it is also found that the proposed normalization of features is effective to improve identification performance.

hue feature texture information wavelet descripter red tide phytoplankton idintification
Abstract doi.org/10.14569/IJARAI.2013.021004 PDF
5

Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language

Author 1: Kohei Arai

A method for numerical expression of web site which is relating to satellite remote sensing and its application to knowledge based information retrieval system which allows retrievals with natural language is proposed and implemented. Through experiments with remote sensing related information, it is found that the proposed information retrieval system does work in particular for remote sensing satellite data retrievals with natural language.

Information retrieval Knowledge based system Natural language Feature mapping
Abstract doi.org/10.14569/IJARAI.2013.021005 PDF
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