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A protein is a long one-dimensional amino acid sequence. Some subsequences of this sequence are given names and β-strand in one such subsequence. β-strands are very common and two or more such strands within one protein can form a β-sheet in the secondary structure of proteins. In its natural form, a protein is a three-dimensional entity composed of β-sheets, α-helices, and other types of substructures...
Hand gesture is one of a powerful means of communication among human. Sign language is an essential and natural expressive mean of communication especially for the deaf people. The article proposes a technique for the recognition of Lao alphabet sign language. The technique of image processing, that is Histogram of Oriented Gradients (HOG), is applied in order to extract characteristics of the hand...
The timely detection of life-threatening ventricular arrhythmias (VAs) is critical for saving a patient’s life. General features that characterize ECG waveforms are extracted for VA detection. To take into account the subtle differences in the QRS complexes among different people, new personalized features are proposed in this paper based on the correlation coefficient between a patient-specific regular...
Recent trends and also statistics show that the hashing concept has been gaining importance because its application lies in the area of authentication, retrieval and recognition. The proposed hashing method CCQ-CSLBP (Compressed CSLBP with Correlation Coefficient) for authentication utilized correlation coefficient as a weight factor in CSLBP. CSLBP is a texture operator, whose performance is better...
A system for automatically evaluating singing enthusiasm is proposed in this study. The definition of singing enthusiasm is how much enthusiasm is perceived in a song being evaluated. This system evaluates the singing enthusiasm on the basis of pitch accuracy, vibrato, diminuendo, roughness, and the correlation between pitch and loudness. A support vector regression (SVR) machine is used for the evaluation...
With the increase of multi media technology and internet there is a rapid growth in storing and retrieving of documents. Government has taken several methods for documents to scan and stored digitally for future use. Even though the documents are available in the digital format, but it is very difficult to search for a single word or phrase. Traditional optical character recognition techniques (OCR)...
Ultrasonic testing technique has been widely applied for monitoring the metal structure health. It is useful to detect and access the damage condition with the minor crack information being concealed in the ultrasonic signal. Although there has been a large amount of studies, the extraction of robust minor crack features is still a fundamental problem. In this paper, a novel crack identification algorithm...
Building brain networks based on functional Magnetic Resonance Imaging (fMRI) signal is one of the efficient methods to study functional connectivity of human brain. Various methods of constructing brain network will lead to different results. It is wondered which method is reliable. Therefore, it is necessary to set up a synthetical framework of brain network analysis to study the functional connectivity...
The use of an individual's neural response to stimuli (the event-related potential or ERP) has potential as a biometric because it is highly resistant to fraud relative to other conventional authentication systems. P300 is an ERP in human electroencephalography (EEG) that occurs in response to an oddball stimulus when an individual is actively engaged in a target detection task. Because P300 is consistently...
Feature extraction and recognition of wobbling targets are very important in spatial target surveillance. It has been shown that the scattering centers are slipping on the edge of the rotational symmetry target with the target micro-motion according to the electromagnetic scattering theory and electromagnetic computation analysis. Based on the slippery scattering center model, the micro-motion model...
Multiple distortion assessment is a big challenge in image quality assessment (IQA). In this letter, a no reference IQA model for multiply-distorted images is proposed. The features, which are sensitive to each distortion type even in the presence of other distortions, are first selected from three kinds of NSS features. An improved Bag-of-Words (BoW) model is then applied to encode the selected features...
The present work investigates the importance of excitation source features for language identification (LID). Linear prediction residual (LPR) represents the excitation source signal. By processing the LPR in sub-segmental, segmental and supra-segmental levels, we can get the language specific information present within a glottal cycle, within a sequence of a few glottal cycles and at the prosody...
Vibration signal is the main signal used for fault diagnosis of large mechanical and electrical equipment. Because of the bad work condition, the vibration signal contains complex noises and its SNR(signal-to-noise ratio) is very low, so it is difficult to extract the fault feature in vibration signal. According to the characteristic of vibration signal, an denoising method is provided to eliminate...
In this contribution, several classifiers are employed to study patient-specific epileptic seizure prediction quality using intracranial electroencephalogram signal (iEEG) for dogs and humans suffering from epilepsy. New approach to extraction of correlation-based features in sliding time window within the EEG epoch is proposed. Classification performance was evaluated by area under receiver operating...
In this paper, we analyze the relationships between social popularity (i.e., the numbers of views, comments, and favorites) and text tags in image/video sharing services. We also show the tags which affect social popularity in each service and discuss the characteristics of popular contents in each service by analyzing these results.
In this paper, a systematic approach for the automated training of condition monitoring systems for complex hydraulic systems is developed and evaluated. We analyzed different fault scenarios using a test rig that allows simulating a reversible degradation of component's conditions. By analyzing the correlation of features extracted from raw sensor data and the known fault characteristics of experimental...
Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. Image registration geometrically aligns two images (the reference and test images). In this paper, we discuss about the problematic issue that arises during the feature matching stage in the mutual information based medical image registration...
Recognition of human's emotion from speech has become one of the most challenging and attractive fields of research in speech processing area. The present study aimed to detect valence of emotions, using Non-Linear Dynamic features (NLDs). NLDs are extracted from the Discrete Cosine Transform (DCT) of descriptor contours computed from Phase Space Reconstruction (PSR) of speech. These features are...
In real time biometric based authentication environments, wavelet based functions are widely incorporated as one of the promising methods for feature extraction of biometric traits. In this paper, we propose a novel finger knuckle print (FKP) recognition technique based on Haar-Wavelet Transform (HWT). Haar - Wavelet transform is used to transform the original knuckle image into a subset of its feature...
Touch perception can be decoded from brain signals as well as from tactile pressure signals obtained while holding objects using a sensor. The present work aims to classify object shapes from EEG signals and tactile pressure signals obtained from a capacitive tactile sensor while exploring objects of different shapes; thereby drawing a mutual relation or dependence between these two sources of haptic...
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