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Spreadsheet environments like MS Excel are the most widespread type of end-user software development tools and spreadsheet-based applications can be found almost everywhere in organizations. Since spreadsheets are prone to error, several approaches were proposed in the research literature to help users locate formula errors. However, the proposed methods were often designed based on assumptions about...
We propose several new concepts for providing enhanced explanations of classifier decisions in linguistic (human readable) form. These are intended to help operators to better understand the decision process and support them during sample annotation to improve their certainty and consistency in successive labeling cycles. This is expected to lead to better, more consistent data sets (streams) for...
The paper presents a statistical learning system based visual solution developed and applied for fault detection in industrial environment. As a mobile vision system the area of use was the automatic detection of rare faults in complex assembled objects. The object detection, the fore- and background separation, and the multi-model database enables the system to manage irregular batches of the different...
An Application-Programming Interface or API provides a set of program functions that can be used to build new applications. In this paper, we study how to use the expectation-confirmation theory (ECT) to identify API usability problems, and what obstacles a novice developer faces when learning a new API and its accompanying development tools. We conduct a study over the impact of using a visual editor...
Fear and tension are the primary emotions elicited by the genre of horror, a peculiar characteristic for media whose sole purpose is to entertain. The audience is often lead into tense and fearful situations, meticulously crafted by the authors using a narrative progression and a combination of visual and auditory stimuli. This paper presents a playable demonstration of the Sonancia system, a multi-faceted...
In this paper, a new method of edge detection in gray scale images based on comparing a pixel's value to its eight neighbors' values is presented. Each pixel gets a new value based on such comparison. Similar pixels or smooth surfaces are then those which have a zero value resulting from the sum of all values and the edges are the set of pixels whose values are different from zero. This decision of...
The interactive artwork “deBallution” is to catch audience members' throwing movements on a virtual screen and drawing various generated kaleidoscope images to predict points from the audience throwing on the screen. Audience members threw the pseudo-balls for large-size screen and caused symbolic digital revolution, devolution.
Mobile devices equipped with cameras, such as smartphones, have become extremely popular in recent years, and have motivated users to capture an increasing number of digital photos in their daily lives. Users often invoke these photos during in-person interactions or conversations with others. In the context of a conversation between two people related to or involving reference to a photo, one of...
La preparación y almacenamiento de apresto catiónico y alumbre de la planta “Soluciones Máquinas” en la empresa Carvajal Pulpa y Papel Planta 1 ocasiona fluctuaciones en las concentraciones de los químicos, presentando en ocasiones una mala calidad del papel con pérdidas de hasta USD 400 por tonelada. Actualmente este proceso se realiza mediante un operador y en forma manual sin intervención de sistemas...
Image saliency detection has attracted much attention in recent years, while several challenging problems are still unsolved, such as inaccurate saliency detection in complex scenes and suppressing salient objects near image borders. In this paper, a novel algorithm is proposed to solve these problems. Firstly, we collect background seeds from image borders by boundary information and construct a...
Transcranial magnetic stimulation is a neurostimulation technique which has the potential to serve as a unique research tool for investigating a wide variety of fields in cognitive neuroscience. TMS has been approved by the FDA to serve as a treatment to depression and has also been used to evaluate its effects among several conditions such as Alzheimer, Parkinson disease, chronic pain and stroke...
The standard polysomnographic method for detecting periodic limb movements in sleep (PLMS) includes measuring the electromyography (EMG) signals from electrodes at the left and right tibialis anterior muscles. This procedure has disadvantages as the cabling affects the patients quality of sleep and the electrodes tend to come off during the night, deteriorating data quality. We used contactless monitoring...
The purpose of this study was to examine cerebral autoregulation (CA) in young athletes experiencing concussion. The subjects were monitored and repeatedly tested 72 hours, 2 weeks and 1 month post-injury. Mean arterial blood pressure (MABP), end-tidal partial pressure of carbon dioxide (PETCO2) and cerebral blood flow velocity (CBFV) in the middle and posterior cerebral arteries were monitored during...
As a basic operation, image saliency detection has been widely used in various applications. Many approaches have been proposed to detect salient regions. In this study, we learn to detect salient curves of cartoon images based on composition rules. We formulate the detection problem as a binary labeling task where we separate salient curves from the whole curve structures extracted from the cartoon...
Nowadays, communication between people is mediated by technology and more specifically via Internet either by using email or social networking sites. Since any online activity generates an electronic trace, creating an automated tool to collect and analyze the communication between people can be valuable for extracting useful information about their behavioral characteristics. Combining these characteristics,...
Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with supporting understanding of student behavior as courses unfold. In this work, we perform a visual comparative analysis of two different MOOC courses...
In this paper, we tackle the problem of embedding logos into QR codes. For the ease of visual comprehension by human, it is preferred that the logo should be big, if possible. A logo-embedding scheme, which is referred to as module displacement, is proposed. In module displacement, the data modules that are corrupted by the logo are moved to hide behind those modules that are not corrupted by the...
Now a days many people are doing online financial transactions. This transaction needs to be secure. There are various attacks present behind this. Phishing is one type of attack. For detecting this attack, various anti-phishing mechanisms are used. In phishing process, suppose cheater sends out thousands of phishing emails with a link to the fake website. Victims click on links in email believing...
Breeding cows are known to engage in sociality, in which they interact and form groups. This paper proposes a method of detecting the interaction between breeding cows from time-series pictures of pastures by a similar image retrieval method using a Bag of Visual Words. We divided the interaction detection into three tasks: detecting a pair of cows in an interaction, pinpointing the time and the place...
Saliency detection is a challenging problem and one of the most active research topics in the field of computer vision. Application scenarios of saliency detection range from surveillance to retrieval, from industrial safety to sports analysis. Given the broad set of techniques used in saliency detection and the fast progress in this area, in this paper we briefly survey the corresponding literature...
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