This paper presents an interactive platform called TANGO:H (Tangible Goals: Health) for the creation of social active play with gestural interaction. This platform has been specially designed and adapted for its recre...
详细信息
The aim of this paper is to study the possibility of improving the gamma/hadron discrimination in extensive air showers. For this purpose, the identification of hadronic extensive air showers is carried out by means o...
详细信息
Genetic programming (GP) is a powerful classification technique. It is interpretable and it can dynamically build very complex expressions that maximize or minimize some fitness functions. It has a capacity to model v...
详细信息
ISBN:
(纸本)9789897583278
Genetic programming (GP) is a powerful classification technique. It is interpretable and it can dynamically build very complex expressions that maximize or minimize some fitness functions. It has a capacity to model very complex problems in the area of Machine Learning, Data Mining and Pattern Recognition. Nevertheless, GP has a high computational complexity time. On the other side, data standardization is one of the most important pre-processing steps in machine learning. The purpose of this step is to unify the scale of all input features to have equal contribution to the model. The objective of this paper is to investigate the influence of input data standardization methods on GP, and how it affects its prediction accuracy. Six different methods of input data standardization were checked in order to determine which one allows to achieve the most accurate result with lowest computational cost. The simulations have been implemented on ten benchmarked datasets with three different scenarios (varying the population size and number of generations). The results showed that the computational efficiency of GP is highly enhanced when coupled with some standardization methods, specifically Min-Max method for scenario I and Vector method for scenario II, and scenario III. Whereas, Manhattan and Z-Score methods had the worst results for all three scenarios. Copyright 2018 by SCITEPRESS – Science and technology Publications, Lda. All rights reserved.
IEC 61850 is one of the crucial standards within the Smart Grid concept. For performance evaluation of communications between Intelligent Electronic Devices (IED) in Power Utility Automation, the standard defines the ...
详细信息
The process of developing a PLC program for controlling the electromechanical units of modern machine tools with computer numerical control (CNC) has been formalized. The architecture of a two-computer CNC system with...
详细信息
There is a justified need for a cross-platform implementation of an OPC UA server for a CNC system. The available open-source libraries that implement the OPC UA stack have been analyzed, and a solution based on open6...
详细信息
The aim of this research is to develop a specialized system for collecting and storing CNC machines data considering the possibilities of innovative technologies of OPC UA protocol, in this work an OPC UA information ...
详细信息
Transport-triggered architectures are a new class of architectures that provide more scheduling freedom and have unique compiler optimizations. This paper reports experiments that quantify the advantages of transport-...
详细信息
A new algorithm for computing the α -tree hierarchical representation of a grey-scale digital image is presented here. The technique is based on an efficient simplified version of the Homological Spanning Forest (HSF...
详细信息
The context of energy diversification of the electricity market has triggered that many users have decided to invest in their own micro-grid to meet their needs. Moreover, at present the concept of Smart Grid is drivi...
详细信息
暂无评论