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In this paper we proposed a scalable interactive system for fresco deterioration detection by hyper-spectral image data analysis. The system integrates data mining and visualization algorithm and process the hyper-spectral big data from fresco efficiently and conveniently. Firstly, a Geospatial Data Abstraction Library (GDAL) is adapted which provides data reading, image preview and cropping functions,...
VAV air conditioning system involves multiple control parameters and they have strong coupling with each other, which caused the modeling complex. A neural network model of air handling unit (AHU) is constructed through data preprocessing and association analysis as mean of data mining is made to identity interesting information between the supply air temperature and the other variables acquired by...
The domain name system (DNS) is a fundamental component of the modern Internet. In the deployment of real time DNS monitoring and analysis system, the large volume CN top level domain DNS log, especially by BIND, heavily burdens its transmission from the distributed sites to the data processing center. The redundancy of DNS query type and the repetitiveness of DNS query time, IP and domain name is...
In this paper, we propose a blind watermarking algorithm for digital image based on DCT and SVD. The algorithm can satisfy the transparence and robustness of the watermarking system very well. The experiment based on this algorithm demonstrates that the watermarking is robust to the common signal processing techniques including JEPG compressing noise, low pass filter, median filter, geometric cropping...
Local industrial value chain (LIVC) upgrading under global value chain (GVC) is investigated. Four trajectories of LIVC upgrading are distinguished: link upgrading, scope upgrading, structural upgrading, and chain upgrading. A preliminary framework of technology road-mapping for LIVC upgrading is proposed, comprised of five layers: value chain, value chain upgrading trajectory, technology trajectory,...
One difficulty of automated test case generation is to deal with compositional units that brings in compositional space explosion of program states. We present a new dynamic execution framework which analyzes program behaviors dynamically for automatic test inputs generation. We utilize forward slicing to explore those functions affecting conditional predicates in program under test.The functions...
The content-based image retrieval (CBIR) system aims at searching and browsing the large image digital libraries based on automatically derived imagery features. This paper introduces two algorithms based on the normalized cut for images clustering. We extract the color and texture features for computing the distance between the images, and take advantage of the bipartition method and minimum spanning...
Test data generation is one of the important tasks during software testing. This paper proposes an approach to generating test cases automatically for the unit test of C programs with derived types including pointers, structures and arrays. Our approach combines symbolic execution and concrete execution. The approach captures operations on variables precisely by concrete execution, and thus it is...
With popular application of direct current (DC) transmission system, the DC electronic current transformer (ECT) is studied broadly. But the worse exchangeability and nonlinearity, and the stability of long-term operation all still in exist for DC ECT. So in this paper the on-line calibration method is proposed in order to solve existed problems. The giant magnetoresistance based DC ECT is proposed...
Employment of university graduates is important to the overall development of a country. Lack of an effective communication channel between labor supply and demand is one of the most important reasons that lead to the declining employment rate of university graduates. Aiming at this problem, a mobile service application platform is established in this paper. In order to handle uncertainty of employment...
A scheme that supports a fast handover effectively in hierarchical mobile IPv6 networks (HMIPv6) is presented. In HMIPv6 when a mobile node (MN) moves from a MAP domain to another, it can experience disruption of connection as well as packet loss due to a long handover latency. To cope with these problems, the fast handover scheme from FMIPv6 is adopted to optimize the performance of the inter-MAP...
Noar and Shamir presented the concept of visual cryptography. Many researches following it go down the same track: to expand the secret pixels to blocks. As a result, the size of the secret image becomes larger, and the quality of the expanded secret image becomes worse. In order to prevent the pixels from expanding, Yang has proposed his probability-based visual secret sharing scheme, where the concept...
In surveillance applications, search space reduction (SSR) is an essential element to efficient algorithms. In this study, spatial and temporal SSRs are integrated for license plate detection in video sequences; the plates could be extracted robustly and extremely fast. Our method started from spatial SSR by a bi-level one-pass plate extraction (BOPE) algorithm developed to extract plates accurately...
Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never ends. To avoid losing lots of precious knowledge of TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth...
With the fast-growth in both scale and frequency of conferences and advances in communication and information technologies, digital revolutions are happening to conferencing affairs. Instead of only focusing on conference management, we regard conference as a platform for knowledge accumulating, organizing and sharing, which provides opportunities for idea generation and potential collaborations....
In traditional commercial environment, business information retrieval is limited in searching scope and quality. As enterprise turns to electronic commerce (EC) environment, the quality of business information on supply and sale directly affects the level of enterprise operations. This paper analyses the problem of business information retrieval in EC environment, and proposes a Hopfield neural network...
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