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Industrial 6DOF robots have become a tool for various machining processes due to its universality — an ability to perform any type of movement in space — and low price compared to standard 5-Axis milling machines. However, main limited factors stems from the fact that the robot accuracy with serial kinematics is much lower in comparison with CNC machines. Using the robots for machining is therefore...
Small signal stability is one focus of Wide Area Measurement Systems (WAMS). WAMS systems are becoming more widespread, driven by availability of synchrophasor data from Phasor Measurement Units (PMUs). In this paper, two methods capable of performing real-time small signal stability monitoring is evaluated by application to simulated data. Performance of the methods are tested to conditions likely...
Feature location is a program comprehension activity in which a developer inspects source code to locate the classes or methods that implement a feature of interest. Many feature location techniques (FLTs) are based on text retrieval models, and in such FLTs it is typical for the models to be trained on source code snapshots. However, source code evolution leads to model obsolescence and thus to the...
In this paper a new Taylor series-based weighted least squares (TWLS) algorithm for synchrophasor measurements is proposed in the case of electrical signals affected by decaying dc offset. The proposed procedure is based on an algorithm recently published in the scientific literature, called TWLS-DC(1) algorithm in the paper. The procedure, called TWLS-DC(2) algorithm, requires two iterations. In...
The location accuracy is one of the important parameters characterizing the performance of a lightning location system. It is also one of the most difficult to determine as the actual location of the discharge being located must be accurately known to achieve a reliable assessment of the real error. Among all the measurement techniques which can be used to collect such ground truth data, none can...
Emblematic gesture pictures were presented to subjects as probes in relation to semantically congruent and incongruent sentences to investigate if there is a similar cognitive processing network for congruity as there is with words. Subjects had to perform a simple discrimination task while undergoing EEG recordings. The ERPs elicited by semantically incongruent gestures produced larger N400 and possibly...
In this work a real-time indoor localisation system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy: i.e., the environment of the object that is being tracked and an adjustable maximum speed. The developed algorithm was verified by simulations and with experiments in a building-wide testbed for sensor and WiFi experiments...
Ray-optical algorithms are an excellent choice to model the radio channel in a deterministic manner. Especially, in vehicular environments where the channel is time-variant and system designers potentially need to consider the non-stationarity of the channel, ray-optical tools are a welcome solution to evaluate the achievable system performance in specific scenarios. The main drawback of ray-optical...
This paper presents two new modelling algorithms that was recently added to the commercially available GRASP software package for electrically large antenna and scattering problems. In particular, a new higher-order multilevel fast multipole solver (HO-MLFMM) provides very high simulation accuracy while requiring significantly less memory and CPU time than the commonly available low-order MLFMM. At...
In this paper we explore ways to address the issue of dataset bias in person re-identification by using data augmentation to increase the variability of the available datasets, and we introduce a novel data augmentation method for re-identification based on changing the image background. We show that use of data augmentation can improve the cross-dataset generalisation of convolutional network based...
A 60 GHz ranging model is established and a strongest path search ranging algorithm based on beamforming is proposed. The range error caused by a non-line of sight (NLOS) channel is mitigated by modeling the corresponding delay bias. Outlier detection is employed to improve the accuracy. Performance results are presented which show that 60 GHz ranging can achieve centimeter level accuracy in indoor...
Tens of thousands of pictures are taken at different locations throughout the year. People often visit places and take pictures to remember their visits. We believe that the seasonal travel patterns of people to specific locations will create a correlation between a location and the season of the images taken in that location. For example, fewer people visit Bear Valley, California during the summer...
Recognizing inference in text (RITE) plays an important role in the answer validation modules for a Question Answering (QA) system. The problem of class imbalance has received increased attention in the machine learning community. In recent years, several attempts have been made on the linguistic phenomena analysis, however, little is known about the effects of imbalanced datasets with linguistic...
The fast growing use of social networking sites among the teens have made them vulnerable to get exposed to bullying. Cyberbullying is the use of computers and mobiles for bullying activities. Comments containing abusive words effect psychology of teens and demoralizes them. In this paper we have devised methods to detect cyberbullying using supervised learning techniques. We present two new hypotheses...
For point-wise gamut mapping, the largest challenge is how to preserve both detail and saturation with state of the art gamut mapping algorithms based on the main concepts of gamut clipping or gamut compression. Based on a combination of clipping and compression algorithms, a hybrid point-wise gamut mapping framework is proposed and evaluated in this paper. Using five standard scenes, five combination...
In this paper, an one-click method for coronary artery ostia extraction from computed tomography angiography (CTA) scans is presented and a strict definition of coronary artery ostia in geometric graphics is given. Due to the presence of diverse anatomical structures surrounding the heart of cardiacCTA data, computerized segmentation of the coronary arteries is a challenging procedure. Many coronary...
Eliminating all stop words from the feature space is a standard practice of preprocessing in text mining, regardless of the domain which it is applied to. However, this may result in loss of important information, which adversely affects the accuracy of the text mining algorithm. Therefore, this paper proposes a novel methodology for selecting the optimal set of domain specific stop words for improved...
A multilevel halftoning algorithm can be used to overcome some of the challenges of multi-channel printing. In this algorithm, each channel is processed so that it can be printed using multiple inks of approximately the same hue, achieving a single ink layer. The computation of the threshold values required for ink separation and dot gain compensation pose an interesting challenge. Since the dot gain...
We investigated the performance of the IEEE 802.1AS time synchronization protocol and its usage in in-vehicle networks by assessing the precise time synchronization mechanisms, such as offset correction, rate correction and the automatic optimal sync message period. In particular, this paper presents a method for adjusting the optimal synchronization message period to achieve high-precision time synchronization...
Lung sounds provide important information about the health of the lungs and airways. Lung sounds have a special and distinguishable pattern related to abnormalities that might occur in the lungs or respiration tract. Automatic lung sound recognition is directed to reduce subjectivity in assessing lung sounds. Hjorth descriptor is one method used for observing natural biological signals. Hjorth descriptor...
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