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Acoustic recordings have been shown to be an effective way to conduct avian species surveys, whereby a trained expert listens to the audio and records observations, a task that can be very time consuming. In practice, most identification of species are first made by visual inspection of the spectrogram, with listening then performed for verification. This paper presents an approach for a surveyor...
Adapting an educational environment to students considering its features and individuals is a necessity due to the large amount of learning objects in the repositories. Thus, organizing learning objects so that they can be efficiently recommended is a real need. In this way, this work presents a proposal for clustering learning objects in repositories considering the learning styles they support,...
Visualization of fluid flows at a high-Reynolds number (Re ∼ 105) presents difficulties for user comprehension due to density and ambiguous interactions between vortices. Prior work has used cluster-based reduced-order modelling (CROM) to analyze the wake of a High-Speed Train (HST) with Re = 86,000. In this paper, we present a novel surface visualization to convey the spatiotemporal changes undergone...
The information to be transmitted along the nervous system is encoded with the rate of fire of the neurons expressing the number of action potentials in a temporal range. Findings from experimental studies in the development of visual prosthetic systems, as a neuroprosthetic device, are of critical importance. The determination of the various working intervals required for the development of electronic...
Clustering has become an unavoidable step in big data analysis. It may be used to arrange data into a compact format, making operations on big data manageable. However, clustering of big data requires not only the capability of handling data with large volume and high dimensionality, but also the ability to process streaming data, all of which are less developed in most current algorithms. Furthermore,...
Visualization became one of the solutions in showing the attack on the network. With Visualize the attack, it would be easier in recognizing and conclude the pattern from the complex image visual. The target of DoS attacks can be addressed to the various parts of the network, it can be routing, web, electronic mail or DNS servers (Domain Name System). The purpose of the DoS attacks create a server...
In this paper, a new method of saliency-based traffic sign detection is presented. On the basis of the visual attention mechanism model, edge and color information are extracted as early visual features, and each feature is computed and normalized to obtain feature maps, conspicuity maps and the saliency map. Then the candidate regions containing traffic signs are determined with self-organizing map...
Twitter, a well-liked online social networking site, facilitates millions of users on a daily basis to dispatch and orate quick 140-character notes named tweets. Nowadays, Twitter is cogitated as the fastest and popular intermediate of communication and is used to follow latest events. Tweets pertaining to a specific event can be effortlessly found using keyword matching, but there are numerous tweets...
In this paper, we discuss proportional data clustering. It emerges In many applications such as document clustering and Image classification using bag of visual words approach. When deploying mixture models for clustering, there Is always a problem of initialization, and It Is common to initialize using K-means algorithm. In proposed work, we present K-means clustering approach using different distance...
Traumatic Brain Injury (TBI) is a leading cause of disability worldwide, there is one TBI case every 15 seconds and in every 5 minutes someone becomes permanently disabled due to it. Brain injuries lack of surgical or pharmacological therapies, therefore Cognitive Rehabilitation (CR) is the generally adopted treatment. Computerized CR tasks are increasingly replacing traditional "paper and pencil"...
In this contribution we discuss the application of self-organizing maps to arrange documents based on a similarity measure. For this, the concepts of self-organizing systems will be briefly reviewed, an overview of methods for the required document pre-processing and encoding will be given and applications of self-organizing maps in document retrieval will be discussed. Furthermore, a prototypical...
This paper presents data mining results in which temporal behavior of global hospital activities are visualized. The results show that the reuse of stored data will give a powerful tool for hospital management and lead to improvement of hospital services.
A video is composed of a set of scenes containing semantics in the video. Since there have been existed user needs to consume scenes with respect to its semantics, scene segmentation has been focused by both industrial and research domains. This paper proposes a novel scene segmentation method. The proposed method is designed to keep information in multiple representations of shots as much as possible...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
The development of location-based applications raises a new challenge to manage and visualize large amounts of geo-tags presented on a web map. The visualization of the geo-tags often leads to a clutter problem, especially in web-mapping systems. We present a new clustering method to reduce the amount of visual clutter. A split smart swap strategy, which has the advantage that it can be applied to...
Currently, the understanding of the human mobility is an important challenge that has a large number of applications, especially in the study of a nation's ability to thrive economically and socially. Some works have shown that, it is possible to observe developed and developing countries reviewing their administrative regions borders, in order to reduce costs, or to solve ethnic claims and/or independence...
Due to the recent deregulated electrical market and the increasing consumption of electrical energy, new possibilities have been opening for the electricity suppliers to formulate tariff packages and to improve the quality services to satisfy the daily demand. A key aspect to visualize and interpret a huge volume of data is to cluster customers according to their individual electrical load profile...
Satellite image time series (SITS) analysis is attracting more researchers recently because SITS have the advantage of fully capturing the dynamic changes of land cover and SITS data is becoming increasingly available. As an unsupervised classification method, clustering gains more importance due to frequent updates of labeled data or training samples are too expensive. When discussing SITS clustering,...
Bayesian inference is widely used in various application fields such as topic extraction. In the paper, we present our developed simple topic model visualization tool and as its example, we show university brand image clustering. When high school students select a university, their university choice greatly depends on their universities' brand images. Then the university public relations section needs...
The goal of this work is to automatically collect a large number of highly relevant images from the Internet for given queries. A novel image dataset construction framework is proposed by employing multiple textual metadata. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora to obtain a richer semantic description, from which the visually non-salient...
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