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In order to deal with heterogeneous knowledge in the medical field, this paper proposes a method which can learn a heavy-weighted medical ontology based on medical glossaries and Web resources. Firstly, terms and taxonomic relations are extracted based on disease and drug glossaries and a light-weighted ontology is constructed, Secondly, non-taxonomic relations are automatically learned from Web resources...
Long-terminal repeat (LTR) retrotransposons typically contain gag, pol, or gag–pol, and in some case env genes. In this work, we used data mining of the Botrytis cinerea genomic sequence and a molecular approach to identify Boty-like LTR retrotransposons in B. cinerea containing an antisense gene (brtn) between pol and the 3′-LTR. Reverse transcriptase PCR (RT-PCR) revealed that some brtn-like genes...
With the aim to further improve the intelligentization and the function of Computer-based test, this paper makes the recommendations to collect and track diversified data in the process of examinations, and to systematically analyze and process these data. The paper highlights the approaches of data acquisition, collection points and variable definition. This paper lays emphasis on the design and...
Text detection in images is important for the retrieval of text information from digital graph, video databases and web sites. In this paper, a text detection method based on sparse representation classification with discrimination dictionaries is presented, which can detect text with different sizes, fonts and colors. The propose method detects edge information using Sobel operator and a sliding...
Protein subcellular localization provides insights into protein function. In literature, various computational methods have been developed for this problem based on protein sequences, where most methods have limited prediction accuracy. Therefore, a general computational method with high prediction accuracy is necessary. In this work, we present a novel balanced ensemble classifier for fungi protein...
Spectrum sensing is a key technology in cognitive radio (CR) and cooperative spectrum sensing is derived due to the effects of channel fading. In this paper, we focus on the optimal number of secondary users in cooperative spectrum sensing to maximize the utility in CR network. By considering both the detection error probability and the resource used by the secondary users in cooperation, we derive...
Do-over Democratic primaries in 2008 election focused our attention on thinking about re-vote cost and reputation of e-voting system. On the other side, fraud behaviors discourage public confidence in such system. In this paper, we propose a novel mechanism in e-voting system to help voting management center make decision whether they should take action in re-vote. Trust and risk are brought in to...
A stereo obstacle detection method based on images symmetrical move and cell partition is presented in this paper. This algorithm gets each cell's optimum offset by calculating the minimum non-similarity of cell, and merges Cell of Interests (COIs) to calculate obstacles in the most probably obstacle regions, and gives information of these obstacles. The paper introduces the perspective projection...
Modeling and recognizing landmarks at world-scale is a useful yet challenging task. There exists no readily available list of worldwide landmarks. Obtaining reliable visual models for each landmark can also pose problems, and efficiency is another challenge for such a large scale system. This paper leverages the vast amount of multimedia data on the Web, the availability of an Internet image search...
Based on decode-and-forward strategy, we investigate the achievable outage probability of opportunistic relaying, in which there is a single source-destination transmission pair with the help of one of multiple relays. In two-hop scenario, based on adaptive decode-and forward strategy, the achievable diversity-multiplexing tradeoff with the knowledge of channel state amplitudes is analyzed. We show...
We consider a source-destination pair assisted by multiple decode-and-forward relays without channel state information at transmitter (CSIT). We investigate three schemes exploiting spatial diversity including multiple-relay cooperation (MR-Coop), conventional multiple-relay relaying (MR-Relay), and multiple-input-single-output (MISO). The total power is equally allocated to transmission partners...
Passenger corridors carry high-density passenger volumes and they are intensive superposition sections of passenger OD demands in the transit network. In order to balance supply and demand distribution between different bus routes on the same passenger corridor, the optimization methodology of headways need be studied. This paper set up a bus coordination dispatching model for passenger corridors...
Coded Cooperation (CC) is a promising user cooperation scheme. In this paper, we propose a novel network- coding-based coded cooperation scheme. When a user decodes its partner's information correctly in the first frame, it transmits the combination of the partner's parity bits and its own parity bits through network coding in the second frame. This is distinct from the classical scheme, where the...
As the integration of prevailing voice over Internet protocol (VoIP) technology and wireless local area network (WLAN), voice over WLAN (VoWLAN) is expected to experience a dramatic growth in the near future. However, increasing voice capacity of the system still remains a problem. In this paper, the voice capacity of "waiting-time dependent backoff (WDB)" algorithm proposed in our previous...
With the development of network technology, online learning becomes easier. But how to meet the need of learners' personality in network study is still a big problem. In order to support the personalized study better in the network environment, we take the personalized learning system as the research background. The artificial intelligence and cognitive technology were employed in the design and research...
With increasingly prevalent of E-learning, the intelligent Q/A system arise at the historic moment. In this paper we proposed an improved text cluster algorithm, with the improved association rules algorithm, it can classify the information in the database accurately according to the questions, locate the user's question fast and therefore speeds up the inquiry rate. The experimental result indicates...
E-learning is a new learning model. Understand the learner's behavior is the foundation of e-learning. This essay present a multi-dimensional and multi-hierarchy model of e-learning behavior, based on this, it designed an E-learning behavior mine system. It used Web Services, data mine and CELTS to implement the system. Through the system, we can master the learner's characteristics and push them...
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity...
A method on circular pattern measurement in wafer fault pattern retrieval system is developed. It can help engineers to query circular wafer fault pattern to historical or other patterns for manufacturing fault detection and tracking. An enclosing polygon based on the vertices of boundary edges is constructed to describe the border of circular pattern. Experimental results show that the proposed approach...
Typically Web pages always contain a large amount of banner ads, navigation bars, and copyright notices etc. Such irrelevant information is not part of the main contents of the pages, they will seriously harm Web mining and searching. In this paper, we develop and evaluate a method that utilizes both the visual features and the semantic information to extract informative blocks. We first partition...
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