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In this paper, a novel violent video detection scheme is presented based on visual views. The violent segment is detected by using motion angle, motion intensity, shot & explosion and blood analysis. In addition, in order to improve the compute efficiency and time savings Hidden Information SVM is used. Experimental result shows that the proposed method is effective in violent video detection.
A 10-bit 60-MS/s time-interleaved pipelined analog-to-digital converter (ADC) is successfully designed and implemented. Long term evolution advance (LTE-A) design for computational Intelligence healthcare systems and cloud computing application. Electrocardiogram (ECG) and human body big data transfer are the important physiological parameters in human body. Through monitoring and analyzing ECG and...
This paper describes a method for analyzing tonality and transcribing melody stream automatically. Tonality plays the core part in organizing music structure. By making an investigation into cognition and musicology, we propose an approach to transcribe major component of polyphonic music from the point of view of tonality. Our method focuses on music cognition instead of signal processing. Basing...
The emerging of virtualization and cloud computing requires a solution to ensure virtual machines' security. With virtual machine introspection (VMI) technology, it is possible to transparently monitor the virtual machines. Currently, most solutions concern only one particular aspect of virtual machine monitoring, such as network or memory. In this paper, we design and implement a comprehensive monitoring...
The paper present a framework for video playing and video storage based on Hadoop. Our framework consist of 3 layers. CDN for receiving clinets' requests; CCN for connecting clients and sending data; Hadoop cluster for data storage. This kind of structure helps to provide high availablility services, which could support high concurrent access and play smooth streaming media in mobile terminals.
The efficiency and the service life of the photovoltaic modules are affected by the surface defects. Therefore, it is critical to detect the photovoltaic modules whether it is qualified or not before assembling into solar panels. This paper applies a method to detect micro-cracked defects in photovoltaic modules using electroluminescence (EL) technology and image processing. After applying forward...
With the development of Internet, the amount of information on the network increases, and the content security issues on the network become more prominent. Through the study of web information filtering technology and a variety of implementation methods, combining with UCL (uniform content locator) that is a new innovative technology concept, we discuss and design a new webpage filtering scheme, and...
Since short text is short of keywords and has sparse features, it brings about the similarity drift problem. The traditional clustering algorithms are usually ineffective and a waste of resources on dealing with short text stream. To overcome the above problems, this paper proposes an incremental clustering algorithm in short text streams based on BM25. The approach makes full use of BM25 to extract...
With the growth of the Internet and electronic commerce, there is more and more review data on the Internet. Quite a lot of Internet users refer to related comments of a product before they make a decision, which can teach them about the quality and reputation of the product and help them decide whether to buy it. A system that can automatically classify the polarity of a given text would be a great...
In this paper, Deep Belief Nets(DBN) model and Support Vector Machine(SVM) are used to mine the features hidden in social news, which can influence the emotions of men. Three feature selection methods for text modeling are used to build the input vectors of DBN, with the purpose of keeping the text information to the greatest extent. We take advantage of the deep features abstracted by DBN to build...
With the rapid development of simulation science, knowledge reuse in this domain becomes a challenge. This paper concentrates on the system design of a simulation knowledge base management system. Furthermore, a semantic matching algorithm based on ontology has also been proposed for simulation knowledge retrieval.
Robust hand tracking is a great challenge due to human hand's small size and drastic appearance changes. Recently, machine learning especially online learning methods have shown their promising ability in object tracking. This paper successfully achieved hand tracking under a lately popular online learning framework named Tracking-Learning-Detection (TLD) by a win-win thought that hand tracking and...
In order to monitor the water quality widely and rapidly in The Three Gorges zone, it's useful to gain the information in real-time by remote sensing images, but there are some defects in remote sensing images, such as bad visual contrast, low-resolution, and low brightness. Other than general optical images, remote sensing images contain a large amount of information; its processing is time consuming...
Sentiment Analysis of Microblog text is a challenging work. Microblog text is different with general user-generated text, because it often contains some special symbols such as “@ # //” and a lot of emotional symbols. Previous joint sentiment-topic models did not consider these features of Microblog texts and then could not well model them. In this paper, considering the structural features and content...
Modeling and anomalous early-warning of vehicle attitude is an important element of proactive safety management of transport vehicle. However, there are great many uncertain factors for a running vehicle, which causes the anomalous early-warning unable to be realized efficiently. In view of this problem, a driving cycle self-learning system is set up upon the analysis of the vehicle running traits...
(DE) (DE for short) is a ubiquitous character in Chinese, used for a wide range of modified construction. Chinese modifier and core connected by a reordering mark DE need to reorder when translated into English. As very flexible it becomes a major source of error in Chinese-English patent machine translation. Therefore the correct identification of reordering mark DE is very important for improving...
Community mining in social networks can produce meaningful information, such as activity pattern between individuals and the law of social development. Traditional methods for community identification in static social networks may not find the variation of networks. Besides, a few methods on modeling and analyzing community structures in dynamic social networks fail to identify large networks in acceptable...
In the current diversity and complexity of the network information environment, the technology of web page sensitive keywords detection is an important and immediate way to manage public opinion online. We propose a system for web page sensitive keywords detection. This system can detect sensitive keywords in the web pages timely and effectively. And it will mark the position of the keywords in web...
It is significant to make a short-term power output forecast for the solar photovoltaic power station. On the one hand it helps guarantee power grid security, on the other hand it can increase the efficiency of power generation. This paper designs a high concentrated photovoltaic output power prediction model based on the Fuzzy Clustering and Radial Basis Function (RBF) neural network, uses the meteorological...
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