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Most existing works have focused on constructing a knowledge base use machine learning techniques. However, they often suffer from obtaining incorrect entity relationships. In this paper, we propose a system, called MEDLedge, to establish a reliable medical knowledge base. The aim is to improve the accuracy and comprehensiveness of medical knowledge base. The system consists of three parts: data processing,...
This paper describes an automatic scoring system for answer sheet of blind students, It is completed of the template bags for blind students, the machine-readable answer sheet, the cursor reader and the lines of transmiss datas and the computers is equipped with scoring analysis module, inside: answer sheet attached to the template bags, Braille scoring module controls the OMR to collect the data...
With the purpose of improving the efficiency of experiments on aqueous two-phase system, optimizing experimental data and extracting the optimal value from results of experiments, experimental studies and applications in aqueous two-phase system are optimized through using SAS programming language and RSM algorithm in SAS statistical system, which compose the main content of this paper. The principle...
With rapid development of E-commerce, obtaining product features from online reviews effectively is both important consumers and product manufacturers. In this paper, we proposed a two-level Hierarchical Hidden Markov Model (HHMM) to extract product features. In HHMM-1, we use segment tags to divide comment text into Feature-Contained Segment and Non-Feature-Contained Segment. Then the product feature...
A bi-watermarking algorithm basing on Contourlet transform is proposed in this paper. The algorithm adopts different methods to insert watermark into the low frequency and high frequency of the host image respectively. Firstly, perform Contourlet transform to the host image, then choose the low frequency to embed the watermark combined with Singular Value Decomposition(SVD), finally, putting coefficients...
In this paper, a data mining method using Genetic Network Programming (GNP) will be introduced and its effectiveness and efficiency will be studied using an existing large-scale traffic simulation system. The results of simulation will also be described.
Based on the TAM model, the objectives of this study are to explore organizational roles' differences in e-learning acceptance. A survey taken from 10 financial companies which had implemented e-learning system shows that managers perceived usefulness in e-learning are stronger than perceived ease of use and employee perceived usefulness and ease of use are stronger than managers. The perceived usefulness...
In this paper, we consider the feedback stabilization problem of impulsive linear control systems with quantized input signals and quantized output signals. Some concepts including quasi-invariant sets and attracting sets for hybrid impulsive quantized systems are investigated. Based on these concepts and the analysis of related dynamic properties, we propose hybrid quantized control schemes to stabilize...
Local area network (LAN) security evaluation has not only become more important but also affected the LAN or internet advancement and development. Above all, the LAN security characteristics of are analyzed. On the basis, the quality evaluation system framework of LAN security indicator is established. Fuzzy evaluation index system is established to consider various influential factors. As to indexes...
This paper is concerned with a leader-follower problem of cooperative multiple agents with a switching interconnection topology and communication delay. Distributed observers are designed for the second-order follower-agents to track a moving target (regarded as an active leader) with unmeasurable velocity and unknown constant input. Dynamic neighbor-based rules, consisting of distributed controllers...
In this paper, we consider finite-time tracking problems of a moving target by multiple mobile agents. The mobile agents with global sensing areas and limited actuation region are designed to track down a target with estimation error with the help of formation and coverage. In order to capture the target, its location and velocity are first estimated. With observer-based estimation and formation control,...
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