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It's really important that how to keep cognitive functions of elderly. According to several research result shows, regular doing exercise or playing games may help elderly slowing down degeneration. In this study, we attempt to combine narrative concept and dynamic assessment theory to develop a kinect-based game for elderly on cognitive functions training. Moreover, a Web-based management system...
Microblogging and social networking sites have become a popular means of communication channels among internet users. They provide tools for people to voice their opinions. These sites contain vast amounts of opinionated data, leading to an increased growth in research on sentiment analysis and opinion mining. The study aims at using Twitter, a major and popular platform for microblogging and social...
In the traditional concept, to become a professional cartoonist, need to accept a long time of painting training and implementation, and in the screen and the role and script design, the need to have a certain degree of imagination or talent, with these related Of the creative ability to create a fascinating comic works, this is not an easy thing.
Stroke is a major cause of adult disability and up to two thirds of stroke survivors have left with motor deficits of the affected upper limb (UL). Rehabilitation is the main therapeutic approach for reducing poststroke functional deficits but significant variability exists between patients regarding rehabilitation efficacy. Because the recovery mechanisms induced by rehabilitation are not fully understood,...
We develop T2API, a context-sensitive, graph-based statisticaltranslation approach that takes as input an English description of aprogramming task and synthesizes the corresponding API code templatefor the task. We train T2API to statistically learn the alignmentsbetween English and APIs and determine the relevant API elements. Thetraining is done on StackOverflow, which is a bilingual corpus onwhich...
Pedestrian detection is an important topic in many applications, such as intelligent transportation systems (ITSs) or surveillance. For the purpose of applications used around the clock, the work for detecting pedestrian based on thermal sensors has attracted significant attention. To achieve this, this paper proposes a LBP (local binary pattern) encoded multi-level classifier for detecting pedestrians...
millimeter wave (mmW) communication systems have the potential to increase data rates with low-latency, highly directional communication links. Due to the geometric nature of the propagation, mmW signals can also be used for accurate positioning. This paper explores the trade-off between communication rate and positioning quality in mmW systems. We show how rate and positioning quality interact as...
Autonomous Systems are systems situated in some environment and are able of taking decision autonomously. The environment is not precisely known at design-time and it might be full of unforeseeable events that the autonomous system has to deal with at run-time. This brings two main problems to be addressed. One is that the uncertainty of the environment makes it difficult to model all the behaviours...
Offline Arabic handwriting recognition has been a challenging sequence modeling problem due to the cursive nature of Arabic script. This paper proposes a four-layer bidirectional Gated Recurrent Unit (GRU) network incorporated with dropout mechanism, which improves the model capacity and the generalization ability compared with a baseline system of a three-layer Long Short Term Memory (LSTM) network...
A comprehensive Arabic handwritten text database is an important resource for Arabic handwritten text recognition research. It is essential for training text recognition algorithms and vital for evaluating the performance of these algorithms. In this paper, we present a database that includes manuscripts from the Islamic heritage project (IHP), consisting of 333 historical manuscripts written by 302...
In this paper, we propose an automatic method for manuscript author verification based on an analysis of consecutive patches extracted from an image. The classification algorithm uses a deep convolutional network with two types of patch extraction: one based on connected components and the other based on usage of a fixed-size sliding window. We apply this method to verify the authorship of the Arabic...
In the arena of biomedical engineering, the classification and analysis of epilepsy from Electroencephalography (EEG) signals forms an important area of research. When the neurons get hyper excited, seizures occur causing a lot of inconvenience and trouble to the patient. For the study of the predominant abnormalities in the cerebral cortex of the brain, EEG is used widely. Due to the long nature...
UTE started performing LW maintenance in Transmission Overhead lines in 1989 and in Distribution in 1997 through an international call of bids. This paper refers to the Distribution experience and it includes information about LW training programs and training centers for the Distribution division.
One of the most interesting spheres which allow steady improvement of the quality of electricity supply service in the European Union and worldwide, but also in Poland, are the techniques and procedures to ensure reliable maintenance and repairs of the power network, power lines and installations and power equipment without the need to resort to power cuts.
This paper highlights the development and preparation process of the implementation of live working in Turkey; whilst focusing on contributing factors, undertaken operations and goals for the future.
Live work training is provided by training organisations approved by the Live Work Committee, which lays down the training content and methods by imposing a programme in line with each voltage level. These organisations receive approval for a 4-year term. The UOF is an Enedis in-house organisation approved for LW and MV live work training for Enedis employees.
EEG signal is used to establish a communication channel between brain and control device. A common scenario of machine learning based brain computer interface (BCI) is class wise accuracy is different from overall accuracy. Accuracy for one class is worse than overall accuracy. Because, error rates of all classes are not converging in same rate during training of learner. Active class selection (ACS)...
In this paper, we formed prediction intervals using historical similarities, found through the direct correlation. At first, a string of 5 to 20 recent samples is correlated with a long training string of samples. Then, the highest normalized correlation values and corresponding indexes are picked. After that, the amplitudes of the matched samples are adjusted by multiplying the value with the amplitude...
This paper presents a comparative study of four steganalysis techniques for speech/audio files. The Mel-Frequency Cepstral Coefficients (MFCCs) are used for the acoustical analysis of the audio files. The following steganalyzers are assessed: Support Vector Machines (SVMs), Gaussian Mixture Models (GMMs), Deep Belief Networks (DBNs) and Recurrent Neural Networks (RNNs). These steganalysis methods...
Classification of lung cancer using a low population, high dimensional dataset is challenging due to insufficient samples to learn an accurate mapping among features and class labels. Current literature usually handles this task through hand-crafted feature creation and selection. In recent years, deep learning is found to be able to identify the underlying structure of data through the use of autoencoders...
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