Pencil graphite core for pattern recognition applications

2019 ◽  
Vol 55 (32) ◽  
pp. 4623-4626 ◽  
Author(s):  
Caroline Yumi Nakiri Nicoliche ◽  
Gabriel Floriano Costa ◽  
Angelo Luiz Gobbi ◽  
Flavio Makoto Shimizu ◽  
Renato Sousa Lima

A new concept of pattern sensors based on ready-to-use sensing probes has been designed towards low-cost and rapid sample recognition applications.

Author(s):  
S. Aloshyn ◽  
I. Khomenko ◽  
N. Fursova

Low-cost, reliable and quick screening diagnosis of coronavirus can be implemented on the basis of intelligent technologies for analyzing a set of signs and symptoms with solving the problem of pattern recognition in the basis of artificial neural networks. The high degree of coronavirus infection diagnostic procedure uncertainty, the vector dimension of input factor-symptoms, fuzzy conditioning and poor formalizability of the subject condition connection with these symptoms require appropriate analytical tools. An analysis of the problem and possible solutions allows justifying the feasibilit y of implementing screening diagnostics as a solution to the problem of nonlinear optimization in a multidimensional space of high-dimensional factors and states. Artificial neural networks with compulsory training on a representative sample were chosen as a tool for implementing the project. The proposed technology brings diagnostics of coronavirus infection closer to full automation, robotization and intellectualization of complex monitoring (diagnostic) systems as the most promising technology for pattern recognition in systems with a high degree of entropy and allows you to solve the problem at the lowest cost and required performance indicators.


Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1532 ◽  
Author(s):  
Jamie Wubben ◽  
Francisco Fabra ◽  
Carlos T. Calafate ◽  
Tomasz Krzeszowski ◽  
Johann M. Marquez-Barja ◽  
...  

Over the last few years, several researchers have been developing protocols and applications in order to autonomously land unmanned aerial vehicles (UAVs). However, most of the proposed protocols rely on expensive equipment or do not satisfy the high precision needs of some UAV applications such as package retrieval and delivery or the compact landing of UAV swarms. Therefore, in this work, a solution for high precision landing based on the use of ArUco markers is presented. In the proposed solution, a UAV equipped with a low-cost camera is able to detect ArUco markers sized 56 × 56 cm from an altitude of up to 30 m. Once the marker is detected, the UAV changes its flight behavior in order to land on the exact position where the marker is located. The proposal was evaluated and validated using both the ArduSim simulation platform and real UAV flights. The results show an average offset of only 11 cm from the target position, which vastly improves the landing accuracy compared to the traditional GPS-based landing, which typically deviates from the intended target by 1 to 3 m.


Author(s):  
E. Protopapadakis ◽  
A. Grammatikopoulou ◽  
A. Doulamis ◽  
N. Grammalidis

The possibility of accurate recognition of folk dance patterns is investigated in this paper. System inputs are raw skeleton data, provided by a low cost sensor. In particular, data were obtained by monitoring three professional dancers, using a Kinect II sensor. A set of six traditional Greek dances (without their variations) consists the investigated data. A two-step process was adopted. At first, the most descriptive skeleton data were selected using a combination of density based and sparse modelling algorithms. Then, the representative data served as training set for a variety of classifiers.


Biometrics ◽  
2017 ◽  
pp. 1727-1753 ◽  
Author(s):  
Arminda Guerra Lopes

This chapter presents the development of a new human-machine interface - a wheelchair controlled by the recognition of human hands' static gestures. The application will allow the occupant of an intelligent wheelchair to communicate with certain objects in order to facilitate their daily life. The suggested methodology draws on the use of computational processes and low-cost hardware. The development of the application involved dealing with computer vision issues in a comprehensive way. It was based on the steps of video image capture, image segmentation, feature extraction, pattern recognition and classification. In terms of its relevance and impact, the application described in the chapter promotes a more natural and intuitive mode of interaction for disabled individuals, which is expected to improve their quality of life.


2008 ◽  
Vol 8 (1) ◽  
pp. 67-71 ◽  
Author(s):  
R. D. VATAVU ◽  
S. G. PENTIUC ◽  
L. GRISONI ◽  
C. CHAILLOU
Keyword(s):  

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