Advanced Materials Research Vol. 950

Abstract: Human behavior pattern is mainly dictated by cerebral activities called brain wave. Brain wave carries messages to all parts of the body and controls thought and behavior. Modern neuroscientists have divided brain wave into 4 different frequency sub-bands:δ (Delta)、θ (Theta)、α (Alpha)、and β (Beta) in order of frequency. Each sub-band has its own special physiological meaning and characteristic. This research from the perspective of cognitive neuroscience investigates how listening to different styles of music can influence learners ’learning activity. The experiment is conducted by having the subjects listening to different styles of piano music while performing logical reasoning at the same time. In addition, during the experiment, the variation of subject’s brain wave characteristic band with respect to different styles of music is recorded and analyzed. A learning brain wave energy formula is developed to compare the effects of different styles of music to the learning. The research result shows some specific styles of music have a positive effect in enhancing learning energy and improve learners learning efficiency.

Abstract: This research proposed a formula for calculating the concentration based on the view of cognitive neuroscience and a design of Brain Computer Interface (BCI) to show the strength of concentration when performing the direction recognition. The experiences proceeded by catching brainwave signals of human vision while sensing the test interfaces of graphics representing direction by brain-wave sensor and analyzed the characteristic frequency band of the brainwave related to direction recognition, then formulate the attention index of direction recognition based on the cognitive neuroscience. This research is to analyze and discuss every kind of brainwave frequency band characteristics while subjects recognize the directions; moreover, the proposed brain computer interface not only could demonstrate the strength of the subject's attention, but also could provide subject to play the contest of brainwave game with virtual computer player, providing the feasibility of future brainwave application development

Abstract: The purpose of the paper is to research the management of loyalty card schemes for Chinese food retail enterprises through learn from British food retail industry. Based on distribute questionnaires and develop focus groups, some problems about loyalty card schemes management will be found, and then some effective suggestions will be presented on conclusion part.

Abstract: In order to enhance the competitiveness of the supply chain, the core enterprise in the supply chain usually associates with more disadvantaged enterprises, so the core enterprise need evaluate and select its partners; At the same time, the partners, the disadvantaged enterprises, also need make the adverse selection with obvious value orientation. So the research on the intention of adverse selection value of supply chain partner has important realistic significance. This paper conducted a questionnaire survey of 300 manufactures in Ma’anshan, participation of which would be analyzed by logistic regression. we make an empirical analysis from the manufacturers of Ma’anshan, and the results show the disadvantaged enterprises are more willing to join the supply chain alliance, which can bring to them such as expected benefits, opportunities for development, and pre-pleasant cooperation extent etc., which are important factors affecting their decisions. Some suggestions, such as the policy support, strengthening the information management of supply chain,are put forward to promote the willing of enterprise participation.

Abstract: The classification of brands refers to classify the brands of products to different categories. It is important in e-commerce and online advertising. Distributed representation is obtained from deep learning, a new area of machine learning research. The main advantage of it is that such a representation can capture various dimensions of both semantic and syntactic information. We use distributed representation to classify brands and compare this method with the approach based on normalized Google distance.

Abstract: . The paper takes regional economy and regional logistics of Shenzhen as research objects and carries out empirical quantitative analysis on their relationship by applying unary linear regression, logistics demand coefficient and grey correlation grade. The analysis results show that there is synergistic effect between regional logistics and regional economy. Shenzhen, with advantageous conditions for developing regional logistics economy, should adopt international regional logistics economy center as its development orientation, so as to create favorable conditions for the further growth of regional logistics economy and realize collaborative development with the regional economy.