Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 3
Abstract
Regression analysis based method for turbidity and ocean current velocity estimation with remote sensing satellite data is proposed. Through regressive analysis with MODIS data and measured data of turbidity and ocean current velocity, regressive equation which allows estimation of turbidity and ocean current velocity is obtained. With the regressive equation as well as long term MODIS data, turbidity and ocean current velocity trends in Ariake Sea area are clarified. It is also confirmed that the negative correlation between ocean current velocity and turbidity.
Authors and Affiliations
Kohei Arai , Yuichi Sarusawa
A Schema for Generating Update Semantics
In this paper, we present a general schema for dening new update semantics. This schema takes as input any basic logic programming semantics, such as the stable semantics, the p-stable semantics or the MMr semanti...
Classification of Image Database Using Independent Principal Component Analysis
The paper presents a modified approach of Principal Component Analysis (PCA) for an automatic classification of image database. Principal components are the distinctive or peculiar features of an image. PCA also holds in...
Usability Testing for Crop and Farmer Activity Information System
Information System usability level depends on acceptance and system convenience to be run by users. One of the methods to measure usability level is by conducting usability testing. This article elaborates usability test...
A QoS Solution for NDN in the Presence of Congestion Control Mechanism
Both congestion control and Quality of Service (QoS) are important quality attributes in computer networks. Specifically, for the future Internet architecture known as Named Data Networking (NDN), solutions using hop-by-...
Secure Medical Internet of Things Framework based on Parkerian Hexad Model
Medical Internet of Things (MIoT) applications enhance medical services by collecting data using devices connected to the IoT. The collected data, which may include personal data and location, is transmitted to mobile de...