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Since news videos are valuable sources of multimedia information on real-world events, there is a demand for viewing them efficiently. However, there is a problem that summarization methods based on auditory contents do not take into account the visual contents. In the case of news videos, due to its presentation style where audio contents and visual contents do not necessarily come from the same...
Due to the increasing popularity of cooking-recipe sharing sites and the success of complex network science, attention has recently been devoted to developing an effective networkbased method of analyzing the characteristics of ingredient combinations used in recipes. Unlike previous approaches dealing with static properties, we aim at analyzing the dynamical changes in ingredient pairs jointly used...
Underwater image segmentation becomes a difficult and challenging task due to various perturbations present in the water. In this paper we propose a novel method for underwater image segmentation based on M-band wavelet transform and human psychovisual phenomenon(HVS). The M-band wavelet transform captures the texture of the underwater image by decomposing the image into sub bands with different scales...
A visually impaired person or a person with visually impaired, daily has difficulties to learn to recognize or differentiate objects when performing any activity, such as walking the streets or being able to recognize dollar bills of different denomination, this makes that the people with this type of disability cannot adapt easily to the society. Usually the visually impaired persons depend on someone...
In this work, we present an interactive musical game for children, developed using the Unreal Engine 4, with gestural control using the Leap Motion device. To each musical note is assigned a specific gesture to be played with the hand and fingers, so that a virtual puppet can dance according to the music, stimulating the improvement of motor control of children while playing, as well as the learning...
Although most companies operate a firewall to protect their information assets, they have difficulties in identifying the control conditions of firewalls. This study proposes an analysis tool to visualize segment-based firewall rules to facilitate verification of the current control conditions. The proposed visualization tool analyzes the current control conditions of packets automatically, thereby...
Free/Open Source Software developers come from a myriad of different backgrounds, and are driven to contribute to projects for a variety of different reasons, including compensation from corporations or foundations. Motivation can have a dramatic impact on how and what contribution an individual makes, as well as how tenacious they are. These contributions may align with the needs of the developer,...
This showpiece will present iSnap, an extension of the block-based, novice programming environment Snap!, which supports struggling students by providing on-demand hints and feedback that help them complete programming assignments. iSnap extends the existing syntactic scaffolding offered by block-based programming to additionally support the implementation of programming tasks. Research on iSnap has...
In this paper we present a new, very large, rich, Comprehensive Scholarly Corpus (CompScholarCorp) as a platform and data source for future research. Our corpus contains records of 1,044,454 papers, 472,365 unique authors, and substantial publication meta-data for each record. We have integrated the data we collected from 276 publishers using a uniform and consistent XML data format within the corpus...
Diagrams can be an effective means of communicating complex ideas and can aid ontology engineering. Indeed, domain experts often do not have the expertise required to understand or create the complex logical statements of an ontology in description logic (DL). This paper presents a visualisation method, concept diagrams, geared toward expressing assertions and class expression axioms alongside providing...
Spreadsheets serve as a basis for decision-making processes in many companies and bugs in spreadsheets can therefore represent a considerable risk to businesses. Systematic tests can help to locate such bugs, but providing test cases can be cumbersome and complex for large real-world spreadsheets. To make the specification of test cases easier, we propose to split spreadsheets into smaller logically...
Spreadsheets are used in professional business contexts to make decisions based on collected data. Usually, these spreadsheets are developed by end users in an ad-hoc way. Thus, the business logic of a concrete spreadsheet is not explicit to end users, making its correctness hard to assess and users have to trust. We present an approach where structure and computational behavior of a spreadsheet are...
This work in progress report demonstrates a novel approach for behavioral augmentations in Virtual Reality (VR). Using a large scale tracking system, groups of five users explored a virtual museum. We investigated how augmenting social interactions impacts this experience, by designing behavioral transformations for behavioral phenomena in social interactions. Preliminary data indicate a reduction...
The vision is considered the most important sense in humans, the visual field may be affected by various diseases or conditions that can even be congenital, resulting in a high percentage of people with visual problems, low vision to blindness. In the majority of cases can be corrected with conventional methods, however, if a suitable control could be prevented and up to early detection of various...
In this paper, we present an efficient approach to investigate data of EEG-based Brain-Machine Interface (BMI) using a bagging Support Vector Machines (SVMs) for collected data classification from a P3-speller paradigm. The combination of SVMs allows to handle the problem of EEG data variability between the different sessions of the acquisition process. This variability is caused by temporal non-stationarity...
Technology is in a constant state of evolution, which allows for new and cunning cyber-attacks and tactics. Out of all these tactics, the exploitation of human cognitive biases in response to phishing attacks is challenging to defend against. The purpose of this study was to determine if humans could discriminate fraudulent Uniform Resource Locators (URLs) or links from legitimate URLs without the...
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,...
Learning styles have been used to explain students' differences in approaching their learning, but there are still deficiencies in interpreting the results of their application, and there are authors that indicate that there are no elements that support their credibility in achievement-based education. For this reason, we proposed a methodology to analyze the results obtained after the application...
In this paper, we propose a computational modeling method to investigate head-eye coordination in face-to-face behavior. The method looks into probability density of individuals' head orientation during looking at others' face. We conducted experiment under two different scenarios in human-human interaction. Under each scenario, individuals' head orientation could be fitted with one Gaussian distribution...
Breast cancer (BC) is a deadly disease, killing millions of people every year. Developing automated malignant BC detection system applied on patient's imagery can help dealing with this problem more efficiently, making diagnosis more scalable and less prone to errors. Not less importantly, such kind of research can be extended to other types of cancer, making even more impact to help saving lives...
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