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With the rapid development of Electronic Commerce and Logistics in China, it has become an inevitable trend to use robots to pick goods in distribution centers, and multi-robot conflict-free path planning is the key point to this application. Based on the analysis of existing algorithms for multi-robot path planning, this paper combines advantages of search-based methods and rule-based methods, and proposes an algorithm based on traffic rules. Experiment results show that this algorithm is fast and suitable for distribution centers with lots of robots, which can continually plan paths for robots.

RFID (Radio Frequency IDentification) has been used in many applications now; therefore the volume of RFID data is enormous. How to clean and store data is becoming the research focus. For data cleaning, many methods have been proposed, and we first simply introduce these methods and models with some comments. We propose a structure of RFID database which has two levels: raw level and cleaned level, and data cleaning and data storage is completed in different levels. We also give an algotithm to clean data. we can compute the duplicate rate of our method, and make duplicate rate in a accept range by setting parameters.

As an important infrastructure of the city, Logistics Park plays a more and more important role in the development of city, the planning and construction of the logistics park is very important. Firstly, the paper wishes to point out the common problems in the development and planning of the logistics park, and analyze the reasons of the construction of Logistics Park. Secondly, the logistics park planning and design will be discussed, and the application of MSFLB model to analyze the logistics park planning system and provide a scientific basis for the planning of the logistics park. Finally, the model is applicable to an example of Chenming logistics park planning.

A mathematical model was built to make analysis on higher education input-output efficiency. The model included eight input indicators and six output indicators of 31 areas in China. The principal component analysis method was used to reduce dimension of input indicators and output indicators. The multidimensional variables were simplified to one input principal component and one output principal component, which then were used to compare and analyze input-output efficiency of 31 areas. As a result, higher input usually leads to higher output but doesn't lead to higher input-output efficiency. Effective operational mechanisms should be set up to ensure the close connection between input and output, and to improve input-output efficiency.

With the fast development of cryptography research and computer technology, the cryptosystems of RSA and Diffe-Hellman are getting more and more unsafe, and Elliptic Curve Cryptosystem is becoming the trend of public cryptography in the future. This paper mainly uses object-oriented technology as tools, and divides Elliptic Curve Cryptosystem into several layers, every of which corresponds a class. The properties and methods of these classes are discussed, and some methods are implemented. In the end, the advantages are analyzed, and the cryptosystem implemented with advanced programming language is easy to transplant.