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In the era of Internet and electronic devices bullying shifted its place from schools and backyards into the cyberspace; it is now known as Cyberbullying. Children of the Arab countries are suffering from cyberbullying same as children worldwide. Thus concerns from cyberbullying are elevating. A lot of research is done for the purpose of handling this situation. The current research is focusing on...
Commercial quantum annealing (QA) machines are now being built with hundreds of quantum bits (qubits). These are used as analog computers, to solve optimization problems by annealing to an unknown ground state (the solution), given the Hamiltonian for that problem. We propose and develop a new approach, in which we use machine learning to do the inverse problem: to find the Hamiltonian that will produce...
This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. The paper considers the possibility and necessity of using in modern control and training systems with a natural language interface methods and mechanisms, characteristic for knowledge processing systems. This symbiosis assumes the introduction of specialized...
The bank client identity verification system developed in the course of the IDENT project is presented. The total number of five biometric modalities including: dynamic signature proofing, voice recognition, face image verification, face contour extraction and hand blood vessels distribution comparison have been developed and studied. The experimental data were acquired employing multiple biometric...
Starting in 2010, one of the most important policies for the introduction of Digital Technologies in schools, in modalities 1 to 1, has been implemented in Argentina: The “Programa Conectar Igualdad” (PCI, for its acronym in Spanish). This program proposed two complementary goals: one related to digital inclusion, which far exceeds school's ambit, and another one related to the improvement of education...
Intrusion Detection Systems (IDSs) are powerful systems which monitor and analyze events in order to detect signs of security problems and take action to stop intrusions. In this paper, the Two Layers Multi-class Detection (TLMD) method used together with the C5.0 method and the Naive Bayes algorithm is proposed for adaptive network intrusion detection, which improves the detection rate as well as...
A Kinect-based feedback system is developed for static balance ability training in this study. It includes three parts: (1) a series of demonstrations of training movements, (2) evaluation of user's gesture, and (3) real time feedback. We tested the feasibility of our feedback system to improve static balance ability with twelve participants. The participants learned and performed three movements...
To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hospital. Robotic hand orthoses are a promising approach for home rehabilitation. When combined with intuitive control based on electromyography, the therapy outcome can be improved. However, such systems often require extensive cabling, experience in electrode...
Preliminary analyses were performed on the current sample of forty-five participants. Inspection of strategies in the Starmaze task showed that 50% of participants who completed the egocentric training changed navigation strategy in the post-training trial. 22.22% of participants who received the allocentric training shifted strategy in the post-training trial. 18.75% and 16.67% of participants adopted...
This paper presents a series of experiments demonstrating the capacity of single-walled carbon-nanotube (SWCNT)/liquid crystal (LC) mixtures to be trained by evolutionary algorithms to act as classifiers on linear and nonlinear binary datasets. The training process is formulated as an optimisation problem with hardware in the loop. The liquid SWCNT/LC samples used here are un-configured and with nonlinear...
Given the current scientific questions of societal significance, such as those related to climate change, there is an urgent need to equip the scientific community with the means to effectively use high-performance and distributed computing (HPDC), Big Data, and tools necessary for reproducible science. The Polar Computing RCN project (http://polar-computing.org) is a National Science Foundation funded...
Multi-label classification refers to the learning problem that a single training sample possibly has multiple labels at the same time. Many real world applications consist of high-dimensional feature vectors, which generally involve some irrelevant and redundant features. This possibly reduces classification performance and increases computational costs. Therefore, feature selection becomes an indispensable...
The Reservoir Computing (RC) framework is said to have the potential to transfer onto any input-driven dynamical system, provided two properties are present: (i) a fading memory, and (ii) input separability. A typical reservoir consists of a fixed network of recurrently connected processing units; however recent hardware implementations have shown reservoirs are not ultimately bound by this architecture...
Reservoir Computing is a bio-inspired computing paradigm for processing time dependent signals. It can be easily implemented in hardware. The performance of these analogue devices matches digital algorithms on a series of benchmark tasks. Their capacities could be extended by feeding the output signal back into the reservoir, which would allow them to be applied to various signal generation tasks...
Depth information plays an important role in the human visual system, however it is not yet well- explored in existing proposal generation models. In this paper we propose a new geocentric embedding for depth images that encodes depth to the camera, the structural edges and height above ground-plane for each pixel named DEH channels. We demonstrate that this geocentric embedding works can be use to...
Extracting opinion words and product features is an important task in many sentiment analysis applications. Opinion lexicon also plays a very important role because it is very useful for a wide range of tasks. Although there are several opinion lexicons available, it is hard to maintain a universal opinion lexicon to cover all domains. So, it is necessary to expand a known opinion lexicon that are...
Link Training and Status State Machine (LTSSM) is a state machine in Universal Serial Bus (USB) which is defined for link connectivity and the link power management. LTSSM consists of 12 distinct states which are characterized depending on their functionalities. This paper reveals the FPGA implementation of LTSSM providing with USB 3.1 specifications with a support of USB 3.0 and 2.0 specifications...
In order to be considered as Linked Data, the datasets on the web must be linked to other datasets. Current studies on dataset interlinking prediction researches do not distinguish the type of links, which are of less help for real application scenarios, as dataset publishers still do not know what kinds of RDF links can be established and furthermore how to configure the data linking algorithms....
Neurosurgical procedures are complicated processes, providing challenges and demands ranging from medical knowledge and judgment to the neurosurgeons dexterity and perceptual capacities. Deliberate training of common neurosurgical procedures and underlying tasks is extremely important. One effective method for the training is to enhance the required surgical training tasks through the use of neurosurgical...
This work addresses Transfer Learning via Convolutional Neural Networks (CNN's) for the automated classification of colonic polyps in eight HD-endoscopic image databases acquired using different modalities. For this purpose, we explore if the architecture, the training approach, the number of classes, the number of images as well as the nature of the images in the training phase can influence the...
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