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In order to differentiate the affective state of a computer user as it changes from relaxation to stress, features derived from pupil dilation and periorbital temperature are processed with machine learning techniques. When absolute signal values are used together with entropy based features, the accuracy of affective classification is observed to increase. When decision tree (C4.5) is tested for...
Usage of Computer Aided Diagnostic (CAD) systems is increasing rapidly. Blood vessel segmentation on retinal fundus images could be used as a CAD system for diagnosis of various retinal diseases. In this paper, blood vessels are segmented on retinal fundus images. Firstly, Gabor filter and morphological top-hat transform are applied after preprocessing step in order to enhance blood vessels. Afterward,...
Finding roots of words is widely used in document classification and text mining. Computational methods of text similarity are intensely utilized on the English words and successful outcomes are obtained. On the other hand, applying the aforementioned methods on the Turkish words did not give the similar success. In this study, a novel similarity computation algorithm is developed. By using this algorithm...
Brain computer interface technology comes at the beginning of the popular study subject for scientist that of excite all of humanity. By means of that technology it is allowed to control electronic devices for paralyzed or partial paralysis humans to make their lives easier. In literature there have been many cursor movement imagery studies based on electroencephalogram (EEG) signals. However, the...
Mainstream indoor localization technologies rely on RF signatures that require extensive human efforts to measure and periodically re-calibrate. Although recent crowdsourcing based work has started to address the issue, incentives are still lacking for wide user adoption. Thus the progress to ubiquitous localization remains slow. In this paper, we explore an alternative approach that leverages environmental...
In this study, we investigate the techniques to automatically predict the extraversion trait among the Big Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreableness, Emotional Stability) using visual nonverbal cues in small group meetings. Our aim is to increase the prediction accuracy by transferring the knowledge that can be extracted from conversational video...
In this study, we investigate the techniques to automatically predict the extraversion trait among the Big Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreableness, Emotional Stability) using visual nonverbal cues in small group meetings. Our aim is to increase the prediction accuracy by transferring the knowledge that can be extracted from conversational video...
In this study, a graph-based method based on Gaussian Mixture Modeling (GMM) to classify agricultural products is proposed. The effects of different number of components and smoothing constants to the classification accuracies are investigated during the analyses. Tests are performed over two 4-channel Kompsat-2 satellite images which cover approximately 100 km2 of the Karacabey Plain of the city...
In this work a high precision sub-meter accuracy indoor localization system was developed using low cost infrared (IR) transmitters and receivers. With the help of the optical lenses and orienting mechanisms designed for the IR beacons, at about 0,75 m wide grid zone definitions could be achieved. An FPGA is armed for the evaluation of the data from multiple IR receivers at the mobile user. 0,5 m...
Amplitude and phase comparison methods are practical direction finding (DF) techniques for electronic support and electronic intelligence systems. The combination of amplitude and phase comparison methods improves the direction finding accuracy and at the same time the ambiguities of phase comparison method are resolved by amplitude comparison method. In this research, the important factors that affect...
Camera-based photoplethysmography provides a mean to monitor cardiovascular parameters remotely. This contribution tackles heart beat detection from remote photoplethysmograms (rPPG) by using a Wavelet-based detection algorithm and time delay estimation. Using experimental recordings of 18 healthy volunteers under resting conditions we demonstrate that depending on the used region of interest detection...
Swarms of autonomous underwater vehicles (AUVs) forming mobile underwater networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation of fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs must maintain precise knowledge...
Decision makers are often required to make decisions with incomplete information. In order to design decision support systems (DSSs) to assist decision makers in these situations, it is essential to understand why and how decision makers select their strategies. This paper presents a simulation which examines the impact of incomplete information on the effort and accuracy of decision strategies. The...
Currently, link recommendation has gained more attention as networked data becomes abundant in several scenar-ios. However, existing methods for this task have failed in considering solely the structure of dynamic networks for improved performance and accuracy. Hence, in this work, we present a methodology based on the use of multiple topological metrics in order to achieve prospective link recommendations...
Mobile Social Network in Proximity (MSNP) is a new form of social network in which users are capable of interacting with their surroundings via their mobile devices in public mobile peer-to-peer (MP2P) environments. However establishing such an MSNP faces several trust issues. A classic MP2P trust scheme usually requires high amount of data transaction in order to identify the trustworthiness of service/content...
Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have processed English words using a rule based approach which extracts individual phonemes...
In digital communications, the non-linear phase characteristic of a digital communication channel must be equalized by using a phase-network in such a way that the whole communication channel has nearly linear-phase and does not distort the waveform of the transmitted signal. This paper proposes an improved iterative second-order-cone-programming (iSOCP) technique for designing an all-pass (AP) phase-network...
In this paper, we propose a flow propagation algorithm (FlowPro) that finds the community of a node in a complex network. The novelty of the proposed approach is the fact that FlowPro is local and it does not require the knowledge of the entire graph as most of the existing methods from literature. This makes possible the application of FlowPro in extremely large graphs or in cases where the entire...
Mining web user trust relationship is important in web information credibility analysis. Motivated by the imprecise nature of trustiness, we propose a novel web user trust prediction method based on evidence theory, which uses user ratings to infer trust relationships between users, where each rating score is treated as an evidence. The method first generates basic probability assignments with training...
Traditional fuzzy time series have more forecasting errors when clustering the universe of discourse is too low. This paper presents a new method using Cartesian product of a matrix to define the fuzzy relationship on the first order fuzzy time series. This technique can improve the accuracy and reduces a number of not-found relationships in historical time series compared to traditional method. In...
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