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Research on semantic search aims to improve conventional information search and retrieval methods, and facilitate information acquisition, processing, storage and retrieval on the semantic web. The past ten years have seen a number of implemented semantic search systems and various proposed frameworks. A comprehensive survey is needed to gain an overall(More)
To effectively realize the image feature matching for geomorphic reverse measurement and rebuilding, a new matching scheme is presented, where the SIFT method are adopted to implement initial geomorphic image matching by going through five stages: scale-space construction, scale-space extrema detection, orientation assignment, keypoint descriptor and(More)
A new color image encryption algorithm based on hyper chaos is proposed in this paper. Four chaotic sequences are generated from a 4D hyper chaos. The R, G, B channels of plain image are firstly encrypted respectively according to the former three sequences with intercross cipher-block chaining mode; then the encrypted image is permuted by choosing(More)
This paper introduces a practical teleoperated manipulator under nuclear radioactive environments. The system, called RoboSource herein, is designed to perform the leak detection of sealed gamma and neutron radioactive sources used for oil well logging in oilfields. RoboSource includes two stations connected via RS-485 and with a distance of up to 1.2 Km.(More)
To overcome shortcomings of Exact Matching Method (EMM) and Substitute Description Method (SDM), an Inexact Matching Method Based on Ontology and Semantic Distance (OSDIMM) is introduced. This method, firstly, describes resources information with Ontology languages to get Resource Ontology Description (RODs); then, infers Concept Hierarchy Trees and(More)
The invasion and metastasis of malignant tumor cells lead to normal tissue destruction and are major prognostic factors for many malignant cancers. Long non-coding RNA (LncRNA) is associated with occurrence, development and prognoses of non-small cell lung cancer (NSCLC), but its mechanisms of action involved in tumor invasion and metastasis are not clear.(More)
To solve the drawbacks of some chaotic image encryption schemes, an image encryption algorithm based on spatiotemporal chaos in DCT domain is proposed in this paper. The image after DCT transformation and quantization is encrypted block by block. Every block is first permuted by placing the value on the same position of a chosen block using Logistic map,(More)
Contractor selection is a multiple-attribute decision-making (MADM) problem. Since the decision makers (DMs) such as preferences on alternatives or on the attributes of contractor are often uncertain, undefined, vague and fuzzy, contractor selection becomes more difficult. Current selection methods are reviewed and three main concepts are generated for(More)
This paper presents a hybrid method using machine learning approach for named entity recognition (NER). A system built based on this method is able to achieve reasonable performance with minimal training data and gazetteers. The hybrid machine learning approach differs from previous machine learning-based systems in that it uses maximum entropy model (MEM)(More)