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Word Net is a widely used lexical knowledge for semantic information processing. Besides English, a lot of languages in the world have their own word nets. However building a new word net always takes tremendous manual labor. In this paper we present a strategy to automatically construct a word net for middle ancient Chinese (Mid acWordNet) which is mapped into the Princeton Word Net (PWN). For each...
Facebook and LINE are the two popular social media in Taiwan. This research aims to understand users' behavior(features) and strong/weak ties within the social network as well as if users have been drifted on two social media. We used social network analysis (UCINET) to analyze the features of users and the motivation of drifting on two platforms. Three indicators were also used: degree centrality,...
Traffic signs automatic recognition was researched in this paper. Traffic signs image preprocessing methods was introduced firstly. Secondly, feature extraction algorithm of traffic signs based on SIFT was elaborated, then a fast SIFT algorithm based on PCA dimensionality reduction was presented to extract the characteristics of traffic signs. Finally, the SVM classifier was studied. A large number...
This paper investigates the input/output-to-state stable in the mean (IOSSiM) property of switched stochastic nonlinear (SSN) systems. First, we present a new IOSSiM result for the SSN systems whose subsystems are IOSSiM by applying an improved ADT method. Second, by extending the improved ADT method to unforced nominal SSN systems in which parts of subsystems are stable, we establish a new stability...
This paper investigates the stability for a class of switched nonlinear systems. Firstly, an improved average dwell time (ADT) method is introduced, based on which an improved mode-dependent dwell time (MDDT) method is established. Then, several new results to the stability analysis are obtained. In comparison with the existing results, the obtained results have some advantages over those obtained...
In this paper, computational verb correlation (verb correlation, for short) is applied to stock market in order to find the correlation between different stock indexes. In previous works, computational verb similarities are used to provide the measurement for selecting the attributes in order to train decision trees. In this paper, a training method of decision tree is constructed based on verb correlation...
The nodules and the multiple times larger non-nodules of the regions of interested(ROIs) in lung areas are achieved, that would lead to a serious imbalance on the sample data. Many scholars have proposed some algorithms to solve this problem. In this paper, in order to guarantee that there is no correlation among the extracted characteristics, the PCA method is adopted to optimize and reduce dimensions,...
Energy efficient analog-to-digital converters (ADCs) are needed to accommodate implantable biomedical application. This paper presents a high energy efficiency successive approximation ADC with fully differential architecture. In order to improve the energy efficiency, the circuit works at 1-V supply voltage and adopts the self-timed logic to ease the power consumption of the comparator. Simulation...
A time-dependent self-consistent large-signal simulation code for gyroklystron is developed and the key technologies involved are introduced. To validate the code, a Ka-Band gyroklystron amplifier is simulated and the effects of time step and space step are observed, which lead up to a coarse criterion about the choice of appropriate time step and space step so as to take consideration of both computation...
One dimensional beam wave interaction simulator for klystron (BWIS_KLY) which is one module of the microwave-tube simulator (MTSS) was developed. The main features of BWIS_KLY are described.
This paper examines and compares the characteristics of tones in a CV syllable in Mandarin under phonated and whispered speech. Formants of the vowel in various contexts are also compared across the tone environments in different phonation types, in order to assess whether and how tone environments and vowel production interacts, as the paper is interested as well in whether lack of fundamental frequency...
The Laplacian matrix is the difference of the diagonal matrix of vertex degrees and the adjacency matrix of a graph G. In this paper, we first give two sharp upper bounds for the radius of the Laplacian spectrum of G in terms of the edge number, the vertex number, the largest degree, the second largest degree and the smallest degree of G by applying non-negative matrix theory and graph theory. Then,...
In a cognitive radio network (CRN), an preempted secondary user (SU) is placed in a call level queue to wait for accessing another channel. If the availability of channels is transparent to SUs, packets will be generated during their waiting time and the performance of the CRN will be influenced by which way to handle these packets. In this paper, an analytical model for both call-level and packet-level...
Efficient resolution of the collisions caused by a large number of electronic tags is a key for the universal adoption of the RFID systems. Recently, the STT (Smart Transversal Tree) protocol is proposed as a new binary query tree based protocol for efficient tag collision resolution. This paper suggests that when combined with shortcutting to skip the query which is determined to result in collision...
In allusion to the problem of fragmentary annotation in some GIS software, the author points out one new method: connection of annotation and geographical object. Taking the dynamic annotation of curve for example, the author discusses its process in detail, which is applied to the development of our own GIS software.
The shape-shifting robot is one of the kinds of the robot and it can change it's configuration according to the environment. A method is proposed to solve the shortcomings of the traditional method of robot's chain turning, which can shorten the time and radius of turning. The turning resistance moment can be also reduced. The mathematical model is built and the resistance torque and required force...
Direction control is an important part of the study on the snake-like robot. A direction control algorithm which is based on the passive creeping, named continuous direction control, is proposed. This method controls the movement direction of the robot's head by the exponential function of the reference angle amplitude, and makes the body follow the head by adjusting the torque amplitude of the body...
To improve the performance of EAs on large scale numerical optimization problems, a number of techniques have been invented, among which, Cooperative Coevolution (CC in short) is obviously a promising one. But sometimes CC is easy to lead to premature convergence in large scale global optimization. In this paper, a Cooperative Coevolution Evolutionary Algorithm (CCEA in short) with global search (CCGS)...
Cooperative Coevolutionary Evolutionary Algorithm is an extension of conventional Evolutionary Algorithm: it implements the idea of divide and conquer by dividing the whole set of variables into several subsets (groups), and evolve each subset independently with a certain optimizer. How to group the variables effectively have been studied by several researchers. Quite a number of variable grouping...
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