The amount of data generated in different knowledge areas has made it necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most imp...
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ISBN:
(纸本)9781479904532
The amount of data generated in different knowledge areas has made it necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most important tasks in data mining and can be defined as the process of partitioning objects into groups or clusters, such that objects in the same group are more similar to one another than to objects belonging to other groups. In this context, this paper aims to propose an adaptation of a bee-inspired optimization algorithm so that it is able to solve data clustering problems. The algorithm was run for different datasets and the results obtained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically determined.
We created an online development environment, specifically for educational robotics applications, in which it is possible to register programming languages associated with different robotic platforms, so that the user...
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We created an online development environment, specifically for educational robotics applications, in which it is possible to register programming languages associated with different robotic platforms, so that the user program a robot using the registered language or the language R-Educ, developed for teaching programming. To validate the platform, we conducted a series of tests divided into six steps to verify that the complete cycle was satisfied - registering a language, program in R-Educ, compile to the registered language, compile to machine code and send the code for the robot.
In this paper we describe an extension to the MATLAB Phased Array Toolkit that adds a configurable clutter object to model clutter signals returned along a specified signal path. The clutter model is based on the Simk...
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We report on a nearly 8-fold increase in multi-hole defect photonic crystal biosensor response by incorporating insitu synthesis of DNA probes, as compared to the conventional functionalization method employing pre-sy...
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We report on a nearly 8-fold increase in multi-hole defect photonic crystal biosensor response by incorporating insitu synthesis of DNA probes, as compared to the conventional functionalization method employing pre-synthesized DNA probe immobilization.
In this paper we describe a novel clutter cancellation platform based on a two stage approach that combines a feedback guided predictive front-end hybrid clutter canceller with high performance back-end filtering and ...
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As far as we know, there is not a Node Localization Algorithm (NLA) that presents the same accuracy for all possible scenarios. We believe that a NLA should be able to interpret the dynamic information of the environm...
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Identification of good metaphase spread is an important step in chromosome analysis for genetic disorder detection. In this paper, we propose a rule for chromosome classification to identify good metaphase spreads. Th...
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ISBN:
(纸本)9781467355797
Identification of good metaphase spread is an important step in chromosome analysis for genetic disorder detection. In this paper, we propose a rule for chromosome classification to identify good metaphase spreads. The chromosome shapes were classified into four main classes. The first and the second classes refer to individual chromosomes with straight and bended shapes, respectively. The third class is characterized as those chromosomes with overlapping bodies and the forth class is for the non-chromosomal artifacts. Good metaphase spreads should largely contain the first and the second classes while the number of the third class should be kept minimal. Several image parameters were examined and used for creating rule-based classification. The threshold value for each parameter is determined using statistical model. We observed that the empirical probability density function of the parameters can be represented by Gaussian model and, hence, the threshold value can be easily determined. The proposed rules can efficiently and accurately classify the individual chromosome with > 90% accuracy.
The aim of this study is to compare forces generated by three different orthodontic closed coil springs supplied by three companies, optical fiber Bragg gratins are used to evaluate the force of closing of springs. ...
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We characterize the impact of the Cell Broadband Engine architecture, on commonly used radar DSP algorithms. We use the capabilities of the CBE to accelerate several key computational kernels including Matrix Multipli...
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This paper presents a smart antenna system using a combination of nonconventional least square (NCLS) optimization and direct data domain least square (D3LS) for direction-of-arrival (DOA) estimation and beamforming, ...
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