نتایج جستجو برای: comprehensive criterion technique

تعداد نتایج: 868771  

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده فنی 1393

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...

Cluster analysis is a useful technique in multivariate statistical analysis. Different types of hierarchical cluster analysis and K-means have been used for data analysis in previous studies. However, the K-means algorithm can be improved using some metaheuristics algorithms. In this study, we propose simulated annealing based algorithm for K-means in the clustering analysis which we refer it a...

2003
Sofus Attila Macskassy Haym Hirsh

OF THE DISSERTATION New Techniques in Intelligent Information Filtering by Sofus Attila Macskassy Dissertation Director: Dr. Haym Hirsh Intelligent Information Filtering is the process of receiving or monitoring large amounts of dynamically generated information and extracting the subset of information that would be of interest to a user based on some specified information need. Historically, t...

2011
Samir H. Saker M. T. ŞENEL

By using the generalized Riccati transformation and the inequality technique, we establish a oscillation criterion for certain non-linear secondorder dynamic equations with damping on a time scale.

This paper proposes an index for nodal market power detection in power market under locational marginal pricing (LMP). This index is an ex-ante technique to detect the market power. More precisely, this criterion detects the potential of exercising market power regardless of detecting the actual market power. Also it is obvious that pricing and market clearing method affect the potential of exe...

2016
Salvatore Caorsi Claudio Lenzi

A new breast cancer detection approach is proposed as an accurate, non-invasive Yes-No diagnostic tool without the need for breast imaging. The approach is based on the processing of ultra wideband (UWB) mono-static radar signals backscattered around heterogeneous two-dimensional (2D) and three-dimensional (3D) breast models. Suitable data are extracted and input in an artificial neural network...

2014
Faris M. AL-Oqla Mohd Sapuan Salit Mohamad Ridzwan Ishak Nuraini Abdul Aziz

The final features of natural fiber composites (NFCs) depend on the integrated characteristics of their constituents. In the industry today, natural agro waste fibers are evaluated using a limited number of criteria. In this work, a combined multi-criteria evaluation stage technique (CMCEST) is introduced as a simple efficient systematic indicator to enhance evaluation of the available natural ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه دریانوردی و علوم دریایی چابهار - دانشکده ادبیات و زبانهای خارجی 1390

abstract cooperative learning refers to small groups of learners working together as a team to solve a problem, complete a task, or accomplish a common goal. in a cooperative environment one’s success is directly related to the success of other members because the focus on the individual shifts towards the group. to test the effectiveness of the method, using jigsaw technique, a study was cond...

Journal: :Signal Processing 2003
Simon Doclo Marc Moonen

This paper discusses two novel non-iterative design procedures based on eigenfilters for designing broadband beamformers with an arbitrary spatial directivity pattern for an arbitrary microphone configuration. In the conventional eigenfilter technique a reference frequency-angle point is required, whereas in the eigenfilter technique based on a TLS (Total Least Squares) error criterion, no refe...

Journal: :Applied optics 2010
Bing Pan Huimin Xie Zhaoyang Wang

In digital image correlation (DIC), to obtain the displacements of each point of interest, a correlation criterion must be predefined to evaluate the similarity between the reference subset and the target subset. The correlation criterion is of fundamental importance in DIC, and various correlation criteria have been designed and used in literature. However, little research has been carried out...

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