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In this paper, a statistical method has been proposed to identify motor imagery left and right hand movements from electroencephalogram (EEG) signals in the Dual Tree Complex Wavelet Transform (DTCWT) domain. The total experiment is carried out with the publicly available benchmark BCI-competition 2003 Graz motor imagery dataset. First, the EEG signals are decomposed into several bands of real and...
We develop a version of spectral clustering and empirically study its performance when applied to behavior-based malware clustering. In 2011, a behavior-based malware clustering algorithm was reported by Rieck et al. We hypothesize that, owing to the more complex nature of our algorithm, it will exhibit higher accuracy than Rieck's but will require greater run-time. Through experiments using three...
We propose a new method for fitting an ellipse to a point sequence extracted from an image. This method can fit an ellipse if a point sequence consists of elliptic arcs and non-elliptic arcs such as line segments. Assuming that input points are spatially connected, we iteratively select inlier points and fit an ellipse to them by computing curvatures of the residual graph. By using simulated data...
Histopathological specimens are prepped through a process called staining prior to analysis by the pathologist. Staining of a pathological specimen is a standard procedure used to increase the contrast between the cell and tissue structures against the background. Unfortunately, staining is a lengthy process that requires hours of preparation. Moreover, the chemicals used to perform the procedure...
MultiBoost ensemble has been well acknowledged as an effective learning algorithm which able to reduce both bias and variance in error and has high generalization performance. However, to deal with the class imbalanced learning, the Multi- Boost shall be amended. In this paper, a new hybrid machine learning method called Distribution based MultiBoost (DBMB) for class imbalanced problems is proposed,...
This research aimed to create a tool for pineapples quality grading according to the standard weight and size of Thai Agricultural Commodity Food Standard. The standard weights of pineapple are divided into 10 levels (A-J) and the standard sizes of pineapple are categorized into two classes (class I and class II). The developed tool consists of hardware components and a grading software program. The...
This paper proposes a digital image watermarking method in homomorphic domain. In the proposed method, a homomorphic filter is applied to the host color image to extract a low variational illumination component. This component is used to embed a binary watermark image with the same size as host image. The watermark extraction is achieved by using an original illumination component prediction technique...
There has been an exponential growth in brain mapping studies in the past decade using functional MRI (fMRI). Apart from simple fMRI studies from a single site (scanner), multi-site studies are gaining great attention, as it has the potential to provide more data for brain mapping studies, thereby increasing the statistical power of the brain mapping studies. Major limitations with the multi-center...
We report on the accuracy and repeatability tests for near-field scanning microwave microscopy applications by associating a network analyzer and an evanescent microwave probe (EMP). A broadband matching network based on an interferometric technique is used to achieve a strong electromagnetic coupling between the probe tip and the material in the frequency range 1–20 GHz. The electromagnetic coupling...
The main current limit to the application of Sapphire Whispering Gallery Thermometry (SWGT) as transfer temperature standard in industry is represented by the cost and bulkiness of the Vector Network Analyzer (VNA) required to investigate the resonances of interest. In this work we present a low-cost measurement system for the accurate detection of complex resonance frequencies up to 19 GHz, aimed...
Quantitative research improvement of the technological process was applied to the production of ballistic test barrels in caliber 7,62×51 (308 Win.). All quality aspects, such as barrel steel, treatment, machining, dimensions, testing and evaluation were considered for reaching the best barrel fire accuracy as a quantitative parameter of customers' satisfaction.
Opto-electronic Plethysmography (OEP) is a motion analysis system used to measure chest wall kinematics and to indirectly evaluate respiratory volumes during breathing. Its working principle is based on the time-per-time computation of marker displacements placed on the thorax.
In this paper, we propose a car positioning approach that does not rely on GPS. We propose to use car wheel speeds and road maps in order to achieve robust positioning of the vehicle. The vehicle positioning is achieved by applying particle filtering on a graph-based representation of a road map. We show that the vehicle positioning is feasible and robust with these two inputs at a really low computational...
Human activity recognition (HAR) is a fundamental task in smart homes. In these environments residents' data are collected via unobtrusive sensors, and human activities are inferred using machine learning mechanisms out of sensors' data. Dynamic graphical models (DGMs) have been a widely used family of machine learning mechanisms for HAR. In DGM-based HAR methods relative temporal information and...
Ensemble classifiers have become a widely researched area in machine learning because they are able to generalise well to unseen data, making them suitable for real world applications. Many approaches implement simple voting techniques, such as majority voting or averaging, to form the overall output. Alternatively, Genetic Algorithms (GAs) can be used to train the ensemble by optimising either binary...
Clustering is proposed to cluster the high dimensional data, into clusters of data that exhibit some similarities. Due to this ability, it has been chosen to solve many problems in various areas, including tropical wood species classification. It has ease the recognition process which has been done manually before. Pheromone-based Kohonen Self-Organizing Map (PKSOM) is proposed a clustering tool to...
People like listening music primarily due to the emotion it evokes. Any activity or work that a person performs also generates emotions. Considering the above two statements it can assume that people tend to associate music with certain activity if it induces emotions that are in sync with it. In today's world of infinite storage, the number of songs that a user has is ever increasing. With the increased...
Ensemble classifiers have become popular in recent years owing to their ability to produce robust predictive models that generalise well to previously unseen data. In principle, Evolutionary Algorithms (EAs) are well suited to ensemble generation since they result in a pool of trained classifiers. However, in practice they are infrequently used for this purpose. Current research trends in the EA community...
The autonomous underwater vehicle (AUV) DAU-RADE platform can acquire bathymetry with two acoustic sensors: a multibeam echo sounder (MBES) and an interferometric sidescan sonar (ISSS). The two sensors (MBES and ISSS) are synchronized and they can simultaneously operate and acquire the bathymetry with different resolutions, geometries and error models. This complementarily allows us to improve the...
In imbalanced learning, most standard classification algorithms usually fail to properly represent data distribution and provide unfavorable classification performance. More specifically, the decision rule of minority class is usually weaker than majority class, leading to many misclassification of expensive minority class data. Motivated by our previous work ADASYN [1], this paper presents a novel...
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