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To effectively promote the development of national science and technology research, and evaluate the impact that emerging technologies on society culture and people's livelihood by taking into account the economic and social factors, this study has conducted feasibility analysis on evaluation of impact of science and technology on Taiwan. It establishes the parameters for such evaluation including:...
Recently, several studies are focused on mining opinion leader in social network because of its widespread applications. By identifying the opinion leaders, companies or governments can manipulate the selling or guiding public opinion, respectively. However, in real-life applications, social network are usually evolved with time; few prior research efforts have been elaborated on finding opinion leaders...
Recently, due to the popularity of Web 2.0, considerable attention has been paid to the opinion leader discovery in social network. By identifying the opinion leaders, companies or governments can manipulate the selling or guiding public opinion, respectively. Additionally, detecting the influential comments is able to understand the source and trend of public opinion formation. However, mining opinion...
The semantic intimacy of relations in many real-world networks (e.g., social, biological, and communication networks) can be modeled by weighted edges in which the more semantically intimate relations between the nodes translate to smaller edge weights. Recently, the problem of community search that aims to find the cohesive groups containing a given set of query nodes has attracted a great deal of...
This work develops an Adaptive Disturbance Compensation (ADC) control scheme for hand-held electrical nutrunner system. ADC deals the adverse effects of external disturbance and modeling uncertainty that are commonly associated with the electrical nutrunner that is powered by a servomechanism. ADC adaptively adjusts the compensator gains in real time, so that the output of the actual system following...
Online advertising has been all the rage these years. Budget control and traffic prediction turn out to be important issues for the demand-side platforms (DSPs). However, DSPs cannot easily grab the information of audiences and media platforms. Although DSPs might have the information immediately, it is still hard to response the request of advertisements in real-time due to the high volume of features...
Blocking is a technique of filtering unlikely matched pairs for record matching, which aims to collect all pairs of records that relate to the same entities across different data sources. Blocking has been broadly adopted in data mining and database. However, for big data, there is no fast and effective blocking algorithm yet, because the number of candidate pairs is tremendous between large data...
Recently, opinion leader discovery has drawn much attention due to its widespread applicability. By identifying the opinion leader, companies or governments can manipulate the selling or guiding public opinion, respectively. However, mining opinion leader is a challenge task because of the complexity of processing social graph and analyzing leadership quality. In this study, a novel method, TCOL-Miner,...
We investigate the generation of uncorrelated multichannel chaos by electrically heterodyning the chaotic microwave generated from a semiconductor laser. The feasibility of using heterodyned chaos for applications of MIMO chaos radar (MIMO CRADAR) is successfully demonstrated.
We report on terahertz radiation from topological insulator (TI) Sb2Te3 thin film under ultrafast optical excitation with different helicity. Polarity-reversals of the emitted THz radiation were observed as the helicity of optical pulses reversed. The observed phenomena are coincident with the characteristics of the helicity-dependent photocurrent on TIs. Our work demonstrates the potential applications...
According the competition of Chinese Martial Arts, the Jump-Slap-Kick (JSK) is one of appointed performances. The purpose of this study was to investigate parameters in kinematics behaviors of different landing of Jump-Slap-Kick movement. Methods: Six subjects (age: 20.5 ± 1.5years, height: 167.2 ± 5.8cm, body mass: 62.7 ± 11.1kg, age of Chinese Martial Arts: 11 ± 3.2years) voluntarily participated...
Based upon the theoretical perspective from Uses and Gratifications (U&G) theory, this study develops a nomological model to explain how incentivized gamification, hedonic presence, individual needs and platform synergy affect consumer active participation in the phenomena of online shopping carnival on singles' day in China. Data gathered from online shopping consumers in China through a large-scale...
Sequential pattern mining is an important subfield in data mining. Recently, discovering patterns from interval events has attracted considerable efforts due to its widespread applications. However, due to the complex relation between two intervals, mining interval-based sequences efficiently is a challenging issue. In this paper, we develop a novel algorithm, P-TPMiner, to efficiently discover two...
Cryptographic substitution boxes (S-boxes) are an integral part of the Advanced Encryption Standard (AES). In this paper we conducted a simulation-based correlation power analysis (CPA) attack on AES imple- mentations with different S-box structures. It shows that the abilities of AES and S-boxes to secure against CPA attack are correlated, and an evaluation of the ability of S-boxes to thwart CPA...
In recent years, considerable attention has been paid to the research in social network, since many potential social phenomena can be extracted by analyzing the social structure. Nevertheless, the social network usually changes over time. How to capture the patterns in dynamic social network is a challenge issue. In this paper, we introduce a novel method to capture the friendship characteristics...
Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively, visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining...
This study presents a novel elastic floating energy harvesting device with knitted PVDF thin films to convert ocean or river ripple power in harbor into useful electricity. The elastic floating energy harvesting module consists of a beating element and energy generating device. The beating element is designed by using the vertical displacement of ocean/river ripple to beat the energy generating device...
A visual positioning method is proposed to use the CAD model of an object to determine its position and orientation in real-time. Vision oriented features are generated off-line from the CAD model of the object by taking into account the camera intrinsic parameters. The proposed method can successfully identify the pose of the object even though some part of the object cannot be seen by the camera...
In several applications, sequence databases generally update incrementally with time. Obviously, it is impractical and inefficient to re-mine sequential patterns from scratch every time a number of new sequences are added into the database. Some recent studies have focused on mining sequential patterns in an incremental manner; however, most of them only considered patterns extracted from time point-based...
Diabetes is a debilitating metabolic disorder resulting from hyperglycemia and glucose intolerance. High glucose-induced endothelial dysfunction is an important contributor to vascular disease in diabetes. In this study, we profiled the global gene expression changes in human umbilical vein endothelial cells treated with high glucose at the 0-, 24-, and 48-hour intervals. Differentially expressed...
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