The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Approximately 50 million people in the world suffer from epileptic seizures. Reliable early seizure detection could bring significantly beneficial therapeutic alternatives. In recent decades, most approaches have relied on scalp EEG and intracranial EEG signals, but practical early detection for closed-loop seizure control remains challenging. In this study, we present preliminary analyses of an early...
In this paper, the radial pulse waveforms of the same subjects under various contact pressures were measured. Then, the feature points of the pulse wave contours were extracted and the physical parameters were calculated corresponding to different contact pressures. The various trends of parameters, including peripheral augmentation index, peripheral subendocardial viability ratio, and peripheral...
In this paper, a diagnosis algorithm for arteriovenous fistula (AVF) stenosis is developed based on auscultatory features, signal processing, and machine learning. The AVF sound signals are recorded by electronic stethoscopes at pre-defined positions before and after percutaneous transluminal angioplasty (PTA) treatment. Several new signal features of stenosis are identified and quantified, and the...
The research presented in this article investigates the influence of subliminal prime words on peoples' judgment about images, through electroencephalograms (EEGs). In this cross domain priming paradigm, the participants are asked to rate how much they like the stimulus images, on a 7-point Likert scale, after being subliminally exposed to masked lexical prime words, with EEG recorded simultaneously...
The extraction of intended kinetic information from an EEG signal can have several applications related to the rehabilitation for subjects with various neurological disorders. However, the task is mainly constrained by the low signal-to-noise ratio for the EEG signals. It is well known that the cortical activity takes place at a very low frequency since it is characterized by the dropping of movement...
This paper reports on a novel model based on convex optimization methods for the analysis of the skin conductance (SC) as response of the electrodermal activity (EDA) to affective stimuli. Starting from previous assessed methodological approaches, this new model proposes a decomposition of SC into tonic and phasic components through the solution of a convex optimization problem. Previous knowledge...
Dental caries are one of the most prevalent chronic diseases. The management of dental caries demands detection of carious lesions at early stages. This study aims to design an automated system to detect and score caries lesions based on optical images of the occlusal tooth surface according to the International Caries Detection and Assessment System (ICDAS) guidelines. The system detects the tooth...
With the increasing amount of image data available for cancer staging and diagnosis, it is clear that content-based image retrieval techniques are becoming more important to assist physicians in making diagnoses and tracking disease. Domain-specific feature descriptors have been previously shown to be effective in the retrieval of lung tumors. This work proposes a method to improve the rotation invariance...
Wireless endoscopy systems is a new innovative method widely used for gastrointestinal tract examination in recent decade. Wireless Micro-Ball endoscopy system with multiple image sensors is the newest proposed method which can make a full view image of the gastrointestinal tract. But still the quality of images from this new wireless endoscopy system is not satisfactory. It's hard for doctors and...
A new probability-based parsing model DPSK (Dependency Parsing with Structure Knowledge) is presented for dependency parsing. Similar to a bottom-up chart parsing algorithm, DPSK select the best dependency arc between two words in a sentence according to the probability. The arc probability depends on two kinds of information: (1) Features extracting from two words of the arc. (2) Features extracting...
Due to the complexity of software systems, defects are inevitable. Understanding the types of defects could help developers to adopt measures in current and future software releases. In practice, developers often categorize defects into various types. One common categorization is based on fault triggers of defects. Fault trigger is a set of conditions which activate a defect (i.e., Fault) and propagate...
Speech is structured acoustic signals which form a message featuring the speaker's language, speaking style, and also underlying emotion. These features affect the information passed through speech. Automated speech emotion recognition is a field long studied, but it has not yet found a quite reliable approach. This paper explores two ways to improve automated recognition. First, new sets or combinations...
A musical part is a strand of music played by an individual instrument within a larger music work, main melody is a single musical part which consists of the most significant melodic elements of multi-part musical score. This part is typically related to dissonance between musical parts and musical instruments. In this paper, we propose a novel model for extracting the main melody from multi-part...
The use of internet in India is increasing day by day and availability of information in Indian languages on the web is also increasing. So there is a need to classify the web data to improve the search results. Research is going on topic-based text classification but, the genre (non-topical) based web page classification for Telugu web pages is so far not considered. This work attempts to identify...
We are developing a recommender system for tourist spots. The challenge is mainly to characterize tourist spots whose features change dynamically with trends, events, season, and time of day. Our method uses a one-class support vector machine (OC-SVM) to detect the regions of substantial activity near target spots on the basis of tweets and photographs that have been explicitly geotagged. A tweet...
Individual opinions and experiences are published in Web as CGM (consumer generated media). A tourism blog which a tourist wrote his experience and impression in a certain area is very helpful information for other tourists. However, a user cannot obtain such precious information without knowing the relation of blog articles and concrete place-names. We paid our attention to the hierarchical structure...
In recent years, remote sensing image of Unmanned Aerial Vehicle (UAV) is widely used in preventing and fighting calamities, searching and rescuing, territorial resources monitoring, forest fire prevention and so on. However, the development of UAV image processing has its own disadvantages, including time-consuming process and low level of automation. This paper extracts the scale invariant feature...
There are many research activities on Region Of Interest (ROI) in the research fields of image recognition, used for medical treatments and sport video analysis. Many researches on an area of interest (Region Of Interest, ROI) have been conducted in the research area on image processings. It's important to extract a region which isn't an interest area in order to avoid the false negative of an area...
The Research Article (RA) is an important and challenging academic genre as it contains multiple parts such as introduction, methodology, results, analysis/discussion of findings, and conclusion. Each part contains one or more subgenres. Hence, although essential for teaching, learning and applications, genre-based analysis of the RA is generally considered to be very difficult in nature because of...
Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video surveillance. This paper is based on the basic theory of Markov Random Fields to extract the features of those in video images, so as to recognize the group abnormal behaviors under video...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.