IJARAI Volume 2 Issue 8

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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Paper 1: Comparison between Rayleigh and Mie Scattering Assumptions for Z-R Relation and Rainfall Rate Estimation with TRMM/PR Data

Abstract: Comparison of the rain rate estimated with the assumptions of Rayleigh and Mie scattering is made. We analyzed the different relationships between the radar reflective factor and rain rate (so-called Z-R relationship) with both scattering models for different DSD (droplet size distribution) and rainfall types as the wavelength is 2.2cm which is in accord with the band of TRMM/PR. Meanwhile we introduced a discrete ordinates method to retrieve the Z-R relationship for Mie scattering assumption. It is found that the retrieval result can be represented as the sum of some simple Z-R relationships. By the analysis of the Z-R relationships estimated from Rayleigh and Mie scattering assumptions in the rain types, we found that the difference of Z-R relationships between Rayleigh and Mie scattering in the thunderstorm that represents the larger raindrop size is larger than that in the drizzle that represent the smaller raindrop size.

Author 1: Kohei Arai

Keywords: TRMM/PR; Precipitation; Z-R Relation; Rainfall Rate; Rayleigh scattering; Mie scattering; Droplet size distribution; RadarReflectivity Factor;

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Paper 2: Comparative Study on Sea Surface Temperature Estimation with Thermal Infrared Radiometer Data among Conventional MCSST, Split Window and Conjugate Gradient Based Methods

Abstract: Comparative study on Sea Surface Temperature: SST estimations among the conventional Multi-Channel Seat Surface Temperature: MCSST, split window method and the proposed Conjugate Gradient based method: CGM with Thermal Infrared Radiometer: TIR data through simulations is conducted. Utilizing the proposed linearized inversion of radiative transfer equation, SST can be estimated. SST estimation accuracy of the proposed method is compared to the conventional regression based method (Split Window and MCSST method). Through the simulation study, it is found that the proposed CGM based method is superior to the conventional regression based method.

Author 1: Kohei Arai

Keywords: Sea Surface Temperature; radiative transfer equation; regression; conjugate gradient; MCSST; split window

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Paper 3: Prediction Method of El Nino Southern Oscillation: ENSO by Means of Wavelet Based Data Compression with Appropriate Support Length of Base Function

Abstract: Method for El Nino/Southern Oscillation: ENSO by means of wavelet based data compression with appropriate support length of base function is proposed. Through the experiments with observed southern oscillation index, the proposed method is validated. Also a method for determination of appropriate support length is proposed and is validated.

Author 1: Kohei Arai

Keywords: Prediction, Time series analysis, wavelet, ENSO, support length of mother wavelet function, base function

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Paper 4: Multi Spectral Image Classification Method with Selection of Independent Spectral Features through Correlation Analysis

Abstract: Multi spectral image classification method with selection processes of independent spectral features through correlation analysis is proposed. The proposed method is validated by applying to the polarimetric Synthetic Aperture Radar: SAR data. Also Probability Distribution Function: PDF for of features are checked and confirmed the most independent PDF allows greatest classification performance.

Author 1: Kohei Arai

Keywords: image classification, polarimetric SAR, correlation analysis

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Paper 5: Access Fee Charging System for Information Contents Sharing Through P2P Communications

Abstract: Charge system for information contents exchange through P2P communications is proposed. Security is the most important for this charge system and is kept with data hiding method with steganography and watermarking. Security level for this charge system is evaluated with image contents.

Author 1: Kohei Arai

Keywords: P2P communication; steganography; data hiding; watermarking; charge system; content security

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Paper 6: Wearable Computing System with Input-Output Devices Based on Eye-Based Human Computer Interaction Allowing Location Based Web Services

Abstract: Wearable computing with Input-Output devices Base on Eye-Based Human Computer Interaction: EBHCI which allows location based web services including navigation, location/attitude/health condition monitoring is proposed. Through implementation of the proposed wearable computing system, all the functionality is confirmed. It is also found that the system does work well. It can be used easily and also is not expensive. Experimental results for EBHCI show excellent performance in terms of key-in accuracy as well as input speed. It is accessible to internet, obviously, and has search engine capability.

Author 1: Kohei Arai

Keywords: eye based human computer interaction; wearable computing; location based web services

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Paper 7: Algorithm for Design of Digital Notch Filter Using Simulation

Abstract: A smooth waveform is generated of low frequency signal can be achieved through the Digital Notch Filter. Noise can be easily eliminated from a speech signal by using a Notch filter. In this paper the design of notch filter using MATLAB has been designed and implemented. The performance and characteristics of the filter has been shown in the waveform in the conclusion part of the paper.

Author 1: Amit Verma
Author 2: Naina
Author 3: C.S. Vinitha

Keywords: Component, , filters, design of filters, MATLAB etc

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Paper 8: Memetic Algorithm with Filtering Scheme for the Minimum Weighted Edge Dominating Set Problem

Abstract: The minimum weighted edge dominating set problem (MWEDS) generalizes both the weighted vertex cover problem and the problem of covering the edges of graph by a minimum cost set of both vertices and edges. In this paper, we propose a meta-heuristic approach based on genetic algorithm and local search to solve the MWEDS problem. Therefore, the proposed method is considered as a memetic search algorithm which is called Memetic Algorithm with filtering scheme for minimum weighted edge dominating set, and called shortly (MAFS). In the MAFS method, three new fitness functions are invoked to effectively measure the solution qualities. The search process in the proposed method uses intensification scheme, called “filtering”, beside the main genetic search operations in order to achieve faster performance. The experimental results proves that the proposed

Author 1: Abdel Rahman Hedar
Author 2: Shada N. Abdel-Aziz
Author 3: Adel A. Sewisy

Keywords: Minimum weight edge dominating set, Graph theory, Genetic algorithm, Memetic algorithm, Local search.

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