There is a trend that, virtually everyone, rang- ing from big Web companies to traditional enterprisers to physical science researchers to social scientists, is either al- ready experiencing or anticipating unpreceden...
详细信息
There is a trend that, virtually everyone, rang- ing from big Web companies to traditional enterprisers to physical science researchers to social scientists, is either al- ready experiencing or anticipating unprecedented growth in the amount of data available in their world, as well as new op- portunities and great untapped value. This paper reviews bigdata challenges from a data management respective. In partic- ular, we discuss bigdata diversity, bigdata reduction, bigdata integration and cleaning, bigdata indexing and query, and fi- nally bigdata analysis and mining. Our survey gives a brief overview about big-data-oriented research and problems.
To create the lively and realistic motion for 2D shape animation, proposes a new motion-driving method based on transferring from the existing shape to a virtual one. This method extracts the existing character's ...
详细信息
Wireless sensor network is an important part of the Internet of Things. Preservation of privacy and integrity in wireless sensor networks is extremely urgent and challenging. To address this problem, we propose in thi...
详细信息
ISBN:
(纸本)9781479950058
Wireless sensor network is an important part of the Internet of Things. Preservation of privacy and integrity in wireless sensor networks is extremely urgent and challenging. To address this problem, we propose in this paper an efficient and secure range query protocol in two-tiered wireless sensor networks introducing master nodes. Our proposal not only prevents adversaries from gaining sensitive information of both queries issued by users and data collected by sensor nodes but also allows the sink to verify whether results are valid. It offers confidentiality of queries and data by constructing a special code, provides integrity verification by the correlation among data and also enables efficient query processing. Finally, theoretical analysis and simulation results confirm the security and efficiency of our proposal.
Filtering redundancy data is an important task of radio frequency identification (RFID) middleware. In order to ensure RFID middleware can effectively filter the time redundant data and identify tagged object location...
详细信息
Filtering redundancy data is an important task of radio frequency identification (RFID) middleware. In order to ensure RFID middleware can effectively filter the time redundant data and identify tagged object location change timely, this paper proposed a Temporal-Spatial bloom filter based on the sliding window model. The filter extends the one-dimension array in the standard bloom filter to a two-dimension array. Meanwhile, in order to guarantee the false positive rate doesn't increase due to the reason that the storage unit of the filter becomes full, we proposed a random decay strategy for deleting the expiration elements. The experimental results show that TSBF algorithm can filter time redundant data effectively and had a good performance to deal with location movement.
Random forests (RFs) have been widely used as a powerful classification method. However, with the randomization in both bagging samples and feature selection, the trees in the forest tend to select uninformative featu...
Pseudo-relevance feedback has been perceived as an effective solution for automatic query ***,a recent study has shown that traditional pseudo-relevance feedback may bring into topic drift and hence be harmful to the ...
详细信息
Pseudo-relevance feedback has been perceived as an effective solution for automatic query ***,a recent study has shown that traditional pseudo-relevance feedback may bring into topic drift and hence be harmful to the retrieval *** this paper,using the idea of local analysis,an effective XML query expansion method,is presented,which utilizes the local word co-occurrence information in good pseudo-relevance document collection and the structural semantics of XML to select most appropriate expansion *** results on INEX 2005 IEEE-CS collection show that the proposed expansion method offers better retrieval performance,compared with original query.
With the dramatic increase of data volume, automatic data distribution has been one of the key techniques and intractable problem for distributed systems. This work summarizes the problem of data distribution and abst...
详细信息
A BP neural network has a highly nonlinear mapping ability. It has been successfully used to predict many aspects of the steel industry. This paper introduces a working principle of the BP algorithm and uses the BP ne...
详细信息
ISBN:
(纸本)9781784660529
A BP neural network has a highly nonlinear mapping ability. It has been successfully used to predict many aspects of the steel industry. This paper introduces a working principle of the BP algorithm and uses the BP network to establish a predictive model of process parameters through inputting chemical element content and mechanical properties of steel, respectively using the predictive model to predict on original data and data after clustering according to certain rules. Then to compare the prediction results of process parameters before and after clustering with actual value. A number of experiments show that using a BP neural network to predict can more accurately reflect the actual situation after clustering.
A survey about the information needs of elderly people could find out the information required to address the needs of the aged in a community. Analyzing data collected from 600 elderly people through
A survey about the information needs of elderly people could find out the information required to address the needs of the aged in a community. Analyzing data collected from 600 elderly people through
Head-driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other seman...
详细信息
Head-driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other semantic information such as semantic collocation and semantic category. Some improvements on this distinctive parser are presented. Firstly, "valency" is an essential semantic feature of words. Once the valency of word is determined, the collocation of the word is clear, and the sentence structure can be directly derived. Thus, a syntactic parsing model combining valence structure with semantic dependency is purposed on the base of head-driven statistical syntactic parsing models. Secondly, semantic role labeling(SRL) is very necessary for deep natural language processing. An integrated parsing approach is proposed to integrate semantic parsing into the syntactic parsing process. Experiments are conducted for the refined statistical parser. The results show that 87.12% precision and 85.04% recall are obtained, and F measure is improved by 5.68% compared with the head-driven parsing model introduced by Collins.
暂无评论