Earticle

In the field of transportation, many of the vehicle amount of raw data value which can be accompanied by a large number of unknown information, and these information can provide people with more help. This paper aimed at the master data, and by using the method of survey of data modeling and prediction. First this paper introduces the data survey methods and the characteristics of the model, and then applied to the vehicles recognition judgment in their ability to recognize and to compare the analysis. The conclusion by principal component analysis and discriminant analysis method bus and van in four categories, the two on the training set and testing set of identification is quite high (high purity), so the four classified into two categories, the key to deal with opel (has been) and class and Po (saab) class. After the processing of raw data, and finally compares the model results.

The current study tries to understand better how consumers’ e-shopping value orientation relates to consumer’s behavior in online environment. Consumers have perceptions of the e-shopping value they acquire during their experiences in navigating Web sites. This consumer's e-shopping value is considered as utilitarian shopping value, hedonic shopping value, and social engagement shopping value. The current paper proposes that value orientation of consumers in Web sites would consequently affect customer loyalty such as revisit intention and intention to Word-of-Mouth. In addition, the research investigates the moderating effect of consumer’s personality between consumer‘s e-shopping value and consumers’ attitude in Web sites. For testing the hypothesized research model, survey and Lisrel analysis are conducted. The findings emphasize that online providers need to focus on the perceived e-shopping values most salient to consumers in order to improve their profitability.

Mobile Internet is a mainstream access and communication technology, due to access to Internet anytime and anywhere, the business will varied, and bring mass data, but the data processing has different characteristics, the delay and energy consumption are also different. Therefore, it is necessary to apply to different data mining methods in the cloud platform, so as to adapt to different business applications, this paper proposes an improved Apriori algorithm, theory and simulation can prove that the method is effective.

Deadlock Avoidance remains to be a significant aspect of deadlock research. Modeling approaches based on Graph Theory provide effective strategy to solve this problem. We built avoidance model of directed graph and adjacent matrix via resource allocation graph, proposed three improved algorithm for deadlock avoidance and discussed the implementation of the program. The topology analyze of matrix storage information indicates entire optimization utilization results though certain key vertices and edges, this model verified by the banker’s algorithm and Petri net finally.

Technology commercialization network platform includes several major players such as principal investigators, technology licensing offices, accelerators or incubators, innovation capitalist, local governments and they have their own specific roles in enabling or facilitating the transition from embryonic technologies to markets. This study includes case studies involved with major players in technology commercialization processes as well as their roles, and case studies focus on the case of Georgia Institute of Technology and the State of Georgia for a more effective discussion. Particular interests are paid in the information flow between, and the incentives for, each of these network participants.

In order to improve sensitivity of parameter and network load, an improved random early detect ion (RED) mechanism orienting to stability, which is named extended stability of random early detection ( S-RED) , was proposed. This algorithm sectionally calculates the probability of packet loss by using the quadratic function to make its variability smoother, meanwhil ,and simplify the calculation formula ofprobability by decreasing the number of parameters in the calculation to properly weaken the performance influence due to parameter settings. We tested our proposed algorithm using the Network Simulator version 2 (ns-2) and found that it shows better stable performance than other typical RED variants and close throughput.

It is a key point for an enterprise in the long run whether it has an ability to achieve sustainability development. Therefore, it is important to assess this ability from the perspective of an enterprise. In this paper, a new multiple attribute decision making method in the dual hesitant fuzzy context is proposed to deal with this problem. Dual hesitant fuzzy set, as a combination of intuitionistic fuzzy set and hesitant fuzzy set, can describe the complex preferences of the decision maker or experts more accurately where membership, non-membership and uncertainty is included simultaneously. Distance measure is introduced in TOPSIS to measure the difference between two alternatives in this assessment problem, which forms the multiple attribute decision making method. Finally, an illustrative example is demonstrated to verify the applicability of the proposed method.

Based on the knowledge resource theory, we know that the nature of enterprise capability is knowledge. But knowledge accumulation of IT service outsourcing enterprises is largely due to knowledge transfer in the outsourcing process, which plays an important role in the promotion of enterprise capability. While knowledge transfer is mainly affected by the sender’s sending ability, receiver's absorption ability, knowledge transfer situation, the characteristics of knowledge and other factors. This article discusses the mechanisms and factors of knowledge transfer, analyzes the knowledge transfer process and effect on the subject of knowledge between the IT service outsourcing enterprises, then adopts system dynamics method to build the evolution model of IT service outsourcing enterprise knowledge transfer, and takes simulation experiments with Vensim tools, finally it proposes the evolution characters and transfer mechanism of knowledge transfer between enterprises. The conclusion can provide some suggestions for IT service outsourcing enterprises and a theoretical basis for the enterprises to develop knowledge transfer strategy.