PS2-14: Organizing and Tracking Multi-site Data Network Project Activities
نویسندگان
چکیده
منابع مشابه
Landforms identification using neural network-self organizing map and SRTM data
During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...
متن کاملA Modfied Self-organizing Map Neural Network to Recognize Multi-font Printed Persian Numerals (RESEARCH NOTE)
This paper proposes a new method to distinguish the printed digits, regardless of font and size, using neural networks.Unlike our proposed method, existing neural network based techniques are only able to recognize the trained fonts. These methods need a large database containing digits in various fonts. New fonts are often introduced to the public, which may not be truly recognized by the Opti...
متن کاملVisual object tracking by an evolutionary self-organizing neural network
In this paper, a recently proposed evolutionary self-organizing map is extended and applied to visual tracking of objects in video sequences. The proposed approach uses a simple geometric template to track an object executing a smooth movement represented by affine transformations. The template is selected manually in the first frame and consists of a small number of keypoints and the neighborh...
متن کاملSelf-organizing Peer-to-Peer Network for Collaborative Document Tracking
Given a set of peers with overlapping interests where each peer wishes to keep track of new documents that are relevant to their interests, we propose a self-organizing peerto-peer document-tracking network based on common interest profiles. The goal of a document-tracking network is to disseminate new documents as they are published. Peers collaboratively share new documents of interest with o...
متن کاملSelf-Organizing Map and Multi-Layer Perceptron Neural Network Based Data Mining To Envisage Agriculture Cultivation
Study on characteristics of soil, to determine the types of crops suitable for cultivation in a particular region can increase the yield to greater extent, which minimizes the expenditures involved in irrigation and application of fertilizers. With the tested techniques available for calibrating the quality of soil and the crops suitable for cultivation in it, it is possible to determine the ex...
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: Clinical Medicine & Research
سال: 2012
ISSN: 1539-4182,1554-6179
DOI: 10.3121/cmr.2012.1100.ps2-14