Location-based Area Setup Method and Optimization Technique for Deviation Detection
نویسندگان
چکیده
منابع مشابه
A Fast Corner Detection Algorithm Based on Area Deviation
A new algorithm, based on area-deviation, is proposed for the detection of corner points of digitized curves. The algorithm consists of two steps. In the first step, a fixed-length chord is moving along the digitized curve step by step, and the area between the chord and the associated curve segment is measured. The area values are used to represent the average curvature values for the correspo...
متن کاملA Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain
This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...
متن کاملProposed Variants of Biogeography Based Optimization for Location Area Optimization in MWCN
Article history: Received 12 March 2015 Accepted 28 April 2015 Available online 1 June 2015
متن کاملComparison of derivative-based methods by normalized standard deviation approach for edge detection of gravity anomalies
This paper describes the application of the so-called normalized standard deviation (NSTD) method to detect edges of gravity anomalies. Using derivative-based methods enhances the anomaly edges, leading to significant improvement of the interpretation of the geological features. There are many methods for enhancing the edges, most of which are high-pass filters based on the horizontal or vertic...
متن کاملA hybrid DEA-based K-means and invasive weed optimization for facility location problem
In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for clustering the maintenance stations. The optimal number of clusters was calculated through the Silhou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Korea Contents Association
سال: 2014
ISSN: 1598-4877
DOI: 10.5392/jkca.2014.14.04.019