Recent Patents on Computer Science - Volume 11, Issue 1, 2018

Background: The massive database of videos is growing day by day in this era. Analyzing such huge data is always a time-consuming process. The effective use of video content requires a user-friendly access to information. This leads to the evolution of the research area known as video summarization. The effective techniques of video summarization, the videos have let to analyze the content of large volumes of digital v Read More

Background: The rapid improvement in technology enables an Electroencephalogram (EEG) to detect a diverse range of brain disorders easily. The design of sophisticated signal processing methods for an efficient analysis of the EEG signals is exceptionally essential. Raw EEG signal is contaminated by noise and artefacts that modify the spectral-spatial and temporal information of the signal and renders inaccurate clini Read More

Background: Generally, it is difficult to obtain the literature metadata in a unified way because the source data of literature is heterogeneous. Researchers developed a series of systems marked by digital object to manage them and obtained a good effect. Though there are several DOI systems, we face with some problems in promoting the use of them. Objective: To address this issue of promoting literature identifier ex Read More

Background: The most important question about the application and development of cloud computing is the privacy risk, as it has become the key factor for users in selecting cloud services. In order to have a better understanding of the privacy risk, resolve or make it controllable in an acceptable range, risk assessment is very necessary. However, specialized research on the assessment has not yet been found. Method Read More

Background: Deep Neural Network (DNN) has attracted great attention in regression and classification problems. However, the traditional DNN fails to provide favorable prediction performance owing to their inherent shortcomings of the Back Propagation (BP) algorithm, such as slow convergence and local optimum. To solve this problem, a novel DNN algorithm called Multi-Layer Echo State Network (ML-ESN) is propos Read More

Background: Neural networks have been very successful in various sorts of aspects, such as computer vision, intelligent prediction and control, image processing, and natural language processing. Coupled delayed neural networks of neutral-type possess more sophisticated actions than a single node neural network. Nevertheless, it is still a challenge to consider the synchronization issue of coupled neural networks of neutr Read More

Objective: To investigate the impact of sarcasm in analyzing the sentiments from tweets. Design: 1. The Tweets related to five different domains are collected from the Twitter by creating Twitter developer account. 2. The Tweets are preprocessed in order to extract the features (Term Frequency, Entropy, Gain Ratio) from the Tweets. 3. Proposed an Iterative algorithm in updating the dictionary with Negative Phrases and sentiment Read More

Background: The fault of a hydroelectric generating unit is mostly expressed in the form of vibration, and the reason is very complicated. Therefore, it is difficult to describe the mapping relationship between the fault cause and fault symptom using the traditional approach. Methods: To improve the accuracy of fault diagnosis for a hydroelectric generating unit, we proposed a hybrid intelligent diagnosis technology in whi Read More