The advantages of automation can be exploited in order to solve or to
minimize the needs of manual approach. In order to support the development of
survey accurate cadastral system, an automatic programming approach will be
adopted. Database selection system will conduct several outliers integrity
checking, rebuild cadastral spatial topology (cadastral lot) and make selfcorrection
procedures based on cadastral survey concepts and mathematical
model respective to the cadastral lots selected. This is to ensure that all cadastral
lots are kept in a closed polygon and provide accurate and "clean" cadastral
information.. This system was developed in windows environment.
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
PseudoQ is an open source java application for creating, playing and solving SuDoku puzzles of various types. It features both a Swing GUI and command-line operation. The automatic solving of puzzles uses "smart" techniques rather than a brute force search of every possible combination.
library for SVMclassification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification.
Collection of key-value pairs.
TDictionary represents a generic collection of key-value pairs.
This class provides a mapping from a collection of keys to a collection of values. When you create a TDictionary object, you can specify various combinations of initial capacity, equality operation, and initial content.
You can add a key that is associated with a corresponding value with the Add or AddOrSetValue methods. You can remove entries with Remove or Clear, which removes all key-value pairs. Adding or removing a key-value pair and looking up a key are efficient, close to O(1), because keys are hashed. A key must not be nil (though a value may be nil) and there must be an equality comparison operation for keys.
You can test for the presence or keys and values with the TryGetValue, ContainsKey and ContainsValue methods.
The Items property lists all Count dictionary entries. You can also set and get values by indexing the Items property. Setting the value this way overwrites any existing value.
The class TObjectDictionary inherits from TDictionary and provides an automatic mechanism for freeing objects removed from dictionary entries.
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification.
This book is concerned with integrated circuits and systems for wireless and
mobile communications. Circuit techniques and implementation of reconfigurable
low-voltage and low-power single-chip CMOS transceivers for multiband and multi-
mode universal wireless communications are the focus of the book. Applications
encompass both long-range mobile cellular communications (GSM and UMTS)
and short-range wireless LANs (IEEE802.11 and Bluetooth). Recent advances in
research into transceiver architecture, RF frontend, analogue baseband, RF CAD
and automatic testing are reported.
In a world where consumers,businesses and organizations are demanding faster,amerter and more seamlessly converged information technology and communization services,concepts such as Driverless Cars,combining advanced automatic controls,artficial intelligences and automotive transport technologies are soon expected to become a commercial realty.At the same time,new blueprints such as industrial internet and industry 4.0 are driving the increased digitization of entire industries and economic sectors,boosting efficiencies and productivity.
