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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
A lot of video applications such as traffic jam detection and criminal tracking require quick responses for video processing, which rely on a realtime supporting framework. Compared with CPU processors, GPU acceleration can achieve high performance. However in the context of Cloud Computing, GPU-based jobs consume less CPU resources yet occupy a lot more memories compared to CPU-based jobs, especially...
Shapelet is a fragment of a time series that can be used to represent class characteristics of the time series. Its application in time series classification is extensively discussed and many improvements have been made. One of them is to separate the construction of classifier from shapelet selection process which is called shapelet transformation. It is more flexible and provides us with more freedom...
A lot of privacy protection technologies have been proposed, but most of them are independent and aim at protecting a specific piece privacy. To minimize the damage and influence of the privacy disclosure, the important and sensitive privacy should be prior preserved if all privacy cannot be preserved. This paper proposes Privacy Information Security Classification (PISC) model, which classifies the...
Mobile group consumption refers to that a group of people such as couples, colleagues, etc. use mobile devices to query commodities and perform consumption. To support the marketing of it, a proper data collection system is needed. Existing such systems are centralized, which suffers from performance bottleneck, one-point failure, overhead of server, etc. Moreover, existing systems are based on synchronous...
Smarter City is the new concept and practice on urban development which is widely deployed in the world, and will inevitably have an impact on urban planning which is the public policy controlling the land and space resources, and will have the requirements of urban planning to make a corresponding change in line with the Smarter City. Through the elaboration of Smarter City's connotations, backgrounds,...
Travel time parameters obtained from road traffic sensors data play an important role in traffic management practice. In this paper, a travel time analysis and prediction model was established for urban road traffic sensors data based on the change point analysis algorithm and ARIMA model. Firstly, time series of travel time parameters were clustered by using change point mining algorithm after traffic...
Big data analytics (BDA) applications are software applications that process huge amounts of data using large-scale parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open source BDA processing framework, which implements the MapReduce programming paradigm. In many cases, BDA jobs are continuous and not mutually separated. Existing work on processing jobs in sequence...
The increase of scale and complexity exceeds of Internet big data presents unprecedented opportunities on deeply mining and taking full advantage of the big value. Meanwhile, the discovery, propagation and influence evaluation of web event become popular. The incompleteness and incredibility of Internet big data are a challenge issues for eastimating to the scope of event influence. To solve the above...
From the view of pansystems, the problem of panweighted field existing in computer science is analyzed. And a new method of mining rules -- educe rules use graph matching, is put forward in this paper. It carried out a fresh understanding of some of the original knowledge in computer science, turned the thoughts that they existent the thinking of observation and control, ascertaining difference and...
Knowledge service such as the subject cognitive mapping plays an important role in effective online subject learning, skill training and subject resource recommendation. However, the challenges of the subject cognitive mapping on the automatic construction of the subject cognitive mapping and the maintenance of its objectivity seriously restrict its popularity. Accordingly, this paper proposes an...
Sound waves in audible range are used for agglomeration monitoring and early warning of fluidized bed for the ethylene polymerization. According to the energy distribution in the frequency domain and the shift characteristics of the power spectral centroid of the normal and agglomeration signals, the sampling rate and signal pre-processing approaches are determined. Energy ratios of each wavelet packet...
Patent technology-effect matrix is very helpful for patent analysis but difficult to create. In addition to manual methods, most existing methods either use IPC and statistical classification or perform pattern matching algorithm to extract technology phrases and effect phrases. They are easy to ignore implicit semantic information and cannot mine deeply intelligence in patents. This paper retrieves...
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