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The trajectory of autonomous underwater vehicle is influenced by the complex marine environment seriously. In this paper, we model the underwater six-degree of freedom motion based on the momentum and angular momentum theorem and ocean current model. By the analysis of the motion, we build a three channels closed-loop control system in terms of pitch, yaw and roll in order to ensure the stability...
With more and more trajectory traces available, conducting analysis and mining on those trajectories can obtain valuable information. Although the published traces are often made anonymous by substituting the true identities of mobile nodes with random identifiers, the privacy concern remains. In this paper, we propose a new de-anonymization attack based on the movement pattern of moving objects....
Effective indexing schemes are crucial in supporting efficient queries on large datasets from multidimensional Non-ordered Discrete Data Spaces (NDDS) in many applications such as genome sequence analysis in bioinformatics. Although constructing an index structure for a large dataset in an NDDS via a bulk loading technique is quite efficient (comparing to using a conventional tuple loading technique),...
With the popularity of intelligent mobile devices, enormous urban information has been generated and required by the public. In response, ShanghaiGrid (SG) aims to providing abundant information services to the public. With fixed schedule and urban-wide coverage, an appealing service in SG is to provide free message delivery service to the public using buses, which allows mobile device users to send...
To refine the fuzzy rule base, it is important to find out and remove the redundant rules in the large scale rule base automatically. On the topic, a synthetical process is described. The abstraction relationship between the clauses is presented firstly, and then the redundant rule is defined in strictly formal criteria on the base of three laws: Transitive Law, Precondition Specific Law and Conclusion...
In e-commerce websites, customers usually make comments, which include the properties of the product, the attitude to the vendor, express delivery information after buying the products. The information provides an important reference when others buy products in the website. In sentiment analysis, a finer-grained opinion mining approach focuses on not only the product itself as a whole but also product...
We numerically investigate UTC PD structures that use highly diffusible beryllium (Be) as the p-type impurity in absorption layer An intrinsic InGaAs layer is added between the absorption layer and collection layer as a diffusion buffer. The influence of this buffer layer is analyzed, and the results obtain shows that high responsivity and high speed can be achieved.
The aspect-based opinion mining aims to provide finegrained product feature analysis from the product reviews. Nowadays, newer works based on probabilistic models have achieved satisfactory result on product entities extraction, but these works didn't take the multi-words feature expression problems into consideration which lead to inaccurate match between the feature and the sentimental orientation...
The principle of full aperture backscatter station (FABS) is introduced. For division of stray lights and convenience of assembly, optimization of optical design is available. The measurement system utilizes off-axis parabolic mirror to collect backscattered light and plane mirrors are used to replicate optical path to make assembly space compact. In order to avoid high energy backscattered light...
Many mechatronic system design problems are formulated into a multi-objective optimization model. In such a model, multiple objectives with their weights and all variables that describe a designed system from different perspectives (such as kinematic motion, shaking force, controller) are put together and equally updated to seek an optimum. In this paper, such a model is called multiple objective...
In this paper, we perform an exploring on music characteristics of Chinese folk music, in order to do targeted music restoration and perform digital reproduction on music segments. Starting from the point of music classification and music feature selection, we firstly choose SVM as the classifier according to experiment results of different classifiers. Then we introduce two common filter-filter methods:...
Whether the soil and water loss control responsibility areas are reasonably difined or not, directly related to the control duties and responsibilities of the project construction units, it's also the basis for the water conservancy administrative departments to supervise, inspect and receiving. This article discussed several problems in defining water and soil erosion control responsibility areas,...
The Yellow River is a river that has relatively less runoff but with much sediment discharge, of which the water mainly come from the upstream while the sediment from the middle reaches, and they are imbalanced in the transporting process. The amount of water and sediment change greatly and the duration of their coming centralized exceedingly, they are complex and polytropic. The mode of water and...
Based on investigation of the influencing factors in the middle Yellow River, this paper prospected the future trend of water and sediment variation in the Middle Yellow River. The results showed that the relationship between water an sediment in the middle Yellow River could not be improved in short term. Therefore, the areas where the water and sediment loss had been controlled needed to be maintained...
For elaborately understanding what product features the reviews focuses on, we propose an approach based on patterns to extraction features (titles). Trough setting length, upper and lower limit probability and frequency thresholds, we extract patterns of POS tags and features from the training corpus. To enhance adaptability of the pattern set, we merge some fundamental patterns into a new fuzzy...
Incremental Document Clustering is a powerful technique for large-scale topic discovery from incremental documentation set. Indexing tree algorithm is advanced in efficiency. However, it tended to process spherical data. To address this problem, we present a novel Multi-Representation Indexing Tree (MRIT) algorithm for constructing a hierarchy that satisfies arbitrary shape clusters with a good performance...
With the wide using of information system, software users are demanding higher quality software and the software developers are pursue the “best-in-class” practice in a specific domain. But till now it is difficult to get an evaluation result due to lack of benchmark method. This paper proposes a systematic, practical and simplified evaluation methodology for domain specific software benchmarking...
Traditional Clustering is a powerful technique for revealing the "hot" topics among documents. However, it's hard to discover the new type events coming out gradually. In this paper, we propose a novel model for detecting new clusters from time-streaming documents. It consists of three parts: the cluster definition based on Multi-Representation Index Tree (MI-Tree), the new cluster detecting...
After analyzing some defects of Extensible Markup Language (XML), this paper introduces a new data representation model, Extensible Connection Language (XCL) by using homostructure mapping based on a new concept, matter network. Furthermore, some advantages of XCL are stated and then the potential application in semantic web is described.
In this paper, we propose a method for removing motion blur and deringing from images, which can be applied to handle both the camera motion blur and the object motion blur. Fully taking the advantage of abundant information of blurred/noisy image pair, we can extract the alpha mattes of same objects in both burred image and noisy image, and then estimate the blur kernel of blurred image using the...
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