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Software Defined Networking (SDN) presents a unique opportunity to manage and orchestrate cloud networks. The educational institutions, like many other industries face a lot of security threats. We have established an SDN enabled Demilitarized Zone (DMZ) — Science DMZ to serve as testbed for securing ASU Internet2 environment. Science DMZ allows researchers to conduct in-depth analysis of security...
This paper presents a new line based 6-DOF monocular algorithm that uses the iSAM2, a point-based Graph SLAM approach. We extend iSAM2 to minimize the reprojection error of the line features to solve the line-based SLAM problem. A specific line representation is exploited that combines the Plücker Coordinates and the Cayley representation. The Plücker Coordinates are used for the 3D line projection...
Various visualization techniques have been adopted to educational Object-Oriented Programming (OOP) environments. Some provide software development with visual notations without source code, while others support programming with visual aids. Our research supports Java programming along with static UML class diagrams and dynamic execution trace of program synchronized in a webbased programming environment...
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...
Dermoscopy is the in vivo technique of skin surface microscopy which is frequently used in visual examination of the skin. With the rise in the usage of smartphones, many smartphone attachments have been developed that enable dermoscopy on a phone but these attachments are very expensive and are available only for high-end phones. We have developed a novel 3D printed clip-on that can convert any smartphone...
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...
The use of autonomous drones in industrial inspection is gaining momentum with improvements in hardware and control. Considering the availability of historical data as drones gather information by regular sorties, a new opportunity for change detection is emerging for inspection and maintenance. In this paper, we propose a visual change detection framework using multi- scale super pixel approach....
Due to the superiority in handling label ambiguity, multiple instance learning (MIL) has been introduced into adaptive tracking-by-detection methods to alleviate drift and yields promising tracking performance. However, the MIL tracker assumes that all samples in a positive bag contribute equally to the bag probability, which ignores sample importance. To address this issue, in this paper we propose...
Robust visual object tracking against occlusions and deformations is still very challenging task. To tackle these issues, existing Convolutional Neural Networks (CNNs) based trackers either fail to handle them or can just run in low speed. In this paper, we present a realtime tracker which is robust to occlusions and deformations based on a Region-based, Multi-Scale Fully Convolutional Siamese Network...
The aim of our proposed research work is to identify language of spoken utterance using visual speech recognition and include Marathi language in language identification (LID) system. In this paper we have focused on the task of identifying first three digits in Marathi language. For this first Lips are extracted from video frames of face images and then landmark points on the lips are detected. Then...
We present an application of a Multiple Instance Learning (MIL) approach to image classification. In particular we focus on a recent MIL method for binary classification where the objective is to discriminate between positive and negative sets of points. Such sets are called bags and the points inside the bags are called instances. In the case of two classes of instances (positive and negative), a...
Studies on visual attention of patients with Alzheimer's disease and dementia are a promising way for keeping track of an individual patients image recognition ability over time. This research seeks to expand upon the current applications of combining the Android operating system with TensorFlow by providing QA diagnostics alongside a visual question answering (VQA) platform for image analysis. This...
Research clues can be expressed as coherent chains of keywords grouped by theme. Capturing clues to research from the vast and expanding medical literature is valuable. Yet, it is difficult to automatically create clear visualizations of research clues despite the presence of many competing summarization tools. In this paper, we propose a linear classifier based on a spiral, which we call a regional...
The constant development of scientific and technological forces has led to further exploration and research in various fields. While exploring the real world, scientists have extended their exploration into the virtual world. The emergence of AR technology makes the real world and the virtual world together. The virtual-actual combination has become a new subject. With the growing power of smart phones,...
Personal networks formed within scientific communities and the collaborations they yield are one of the driving forces behind innovation and new discoveries. Luckily, successful collaboration produces analyzable data points in the form of publications that allow us to learn and understand some of the connections and collaborative structures in a scientific community. Co-author information is one important...
Virtual Reality may be considered a computational tool often used to aid in medical training, specially in surgical training. That allows surgeons to gain dexterity and experience in surgery without risking real patient lifes, reducing the probability of medical errors to occur, henceforth providing a better quality of life to patients. Due to the fragility of the human eye, more than most other areas...
Strokes have caused physical disability in adults and even in children, all over the world. The motor deficiencies caused by stroke are characterized by paralysis or weakness on the side of the body opposite to that of the brain lesion. This Augmented Reality System developed provides visual feedback of the movement of a virtual arm for motor rehabilitation of the upper limbs. This paper presents...
Emotions influence our perceptions and decisions and are often felt more strongly in situations related to healthcare. Therefore, it is important to understand how both providers and patients express their emotions in face-to-face scenarios. An ontology is a way to represent domain concepts and the relationships between them in a polyarchical manner. We have created an ontological model called the...
In order to explore the mental retardation of patients with depression, the visual search paradigm was used in this study. The emotional expression (happy, sad) and neutral expression were used as interdependent or search targets in this paradigm. Subjects were asked to search the target face form a matrix containing 16 emotional faces after watching the target face. The measurement indices of the...
This work makes a study in the usage of a learning machine and computer vision for the control of the movements of an robotic arm. The technique chosen for the learning process was the Map of Kohonen, because it is a classic technique with a self-learning capacity. The solution investigated was part of a huge problem: the learning process of tasks by articulated robots, for example the pick-and-place...
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