Volume 3 Issue 6
Authors: Su-meng Shen; Yu-hui Ge; Yue-ming Chen
Abstract: The paper empirically analyzes the relationship between firm strategic decision-making and two kinds of upper echelons’ faultlines which are demographic faultlines and personality faultlines, and the moderating effect of team identification as well. It found that the personality faultlines are significantly related to decision quality and efficiency and moderated by team identification. The relationship between demographic faultlines and team identification are weakly significant, but the moderating effect of team identification is not significant.
Keywords: Upper Echelons; Top Management Team; Team Faultlines; Strategic Decision-Making; Team Identification
Authors: Lu Chen; Jiandong Shang; Dongfang Hu
Abstract: The vibration of carrier and wind resistance result in the instability of optical sensors and jitter of obtained video. To solve these problems, parameter self-tuning fuzzy-PID control has been used to improve the stability of control system and imaging quality. To achieve the whole day real-time scanning services on targets, we propose a program with integration of visible and infrared imagers. A novel airborne low-altitude monitoring system is designed. It helps operators to detect targets accurately. Experiments show that the design is feasible and the system is practical, reliable, and easy to operate, displays Chinese characters, etc.
Keywords: Airborne; Fuzzy-PID; Stability; Video Surveillance; Improvement; Control System
Authors: Luoshan Xu; Gaolin Li
Abstract: This paper aims to examine the lattice structures of probabilistic rough sets. The concept of a rough membership function in a probabilistic approximation space is introduced. It is proved that the family of all rough membership functions in a probabilistic approximation space forms a stone lattice. In terms of rough membership function, the notions of lower approximation operator and upper approximation operator are obtained. Several properties of approximation operators and probabilistic approximation spaces are given. Then the notion of probabilistic rough sets in probabilistic approximation spaces is proposed. It is proved that the family of all probabilistic rough sets forms a complete Stone lattice, generalizing the corresponding result for traditional rough sets in Pawlak’s sense.
Keywords: Rough Set; Rough Membership Function; Probabilistic Approximation Space; Stone Lattice
Authors: Wen Chen; Xianhao Xu; Hongxia Peng
Abstract: Online travel booking has been adopted by an increasing number of tourists. The paper reviews the literature from the three stages of online booking and summarizes the research findings in online information search, determinants of online booking and online booking loyalty. Based on the literature review, the paper consequently proposes a new research agenda for tourist behaviors in online booking, and recommends empirical methods for future research. The study not only provides a comprehensive understanding of consumer behaviors for the tourism marketers, but also sheds light on the future research in online booking.
Keywords: Tourist Behaviors; Online Travel Booking; Online Booking; Online Information Search; Loyalty
Authors: Huo Lin; Wang Chao
Abstract: The sensitivity of document information reflects the correlation degree of the document and one particular theme. Many information sensitivity analyses need multi-granularity sensitivity information, such as sentence level and document level sensitivity to hide or encrypt a small part of document. But the current information sensitivity studies, for instance document filtering, only focus on the sensitivity calculation of document level, while do not have any study on sentence level. Based on such situation, an algorithm (SSAD) about sentence sensitivity calculation is proposed, which deals with one sentence as one unit and calculates the sentence sensitivity considering the sentence structure, key words’ sensitivity and location information via dependency grammar analysis. This algorithm has been proved effective by experiment.
Keywords: Dependency Parsing; Sentence Sensitivity; Key Words Sensitivity
Authors: Caihua Xiong; Usama J. Naeem
Abstract: Theaim of this work is to propose a new model to carry out muscle force from electromyography (EMG) signal. Our neural-genetic model consists of two stages (genetic and neural) to predict human muscle force from the right arm muscles;where, the first (genetic stage) is employed to transform the raw EMG signal into muscle activation. The second (neural stage) uses Back-Propagation Neural Network (BPNN) method to extract muscle force from the muscle activation of the first stage. The neural-genetic model can efficiently extract muscle force features from raw EMG signals without passing the signal through signal processing steps. Our results showed that the regression of our neural-genetic model exceeded 99%. We used the mean square error (MSE) to measure the performance of our model. The MSE result of our neural-genetic model was very small.
Keywords: EMG Signal; Muscle Force; Genetic Algorithm; Neural Network