Advanced Materials Research Vols. 1044-1045

Abstract: The scale invariant features transform (SIFT) is commonly used in object recognition,According to the problems of large memory consumption and low computation speed in SIFT (Scale Invariant Feature Transform) algorithm.During the image registration methods based on point features,SIFT point feature is invariant to image scale and rotation, and provides robust matching across a substantial range of affine distortion. Experiments show that on the premise that registration accuracy is stable, the proposed algorithm solves the problem of high requirement of memory and the efficiency is improved greatly, which is applicable for registering remote sensing images of large areas.

Abstract: With the continuous development of the computer network and popularization, the computer network has brought endless resources, but the resulting network security problem also becomes very important. The article mainly introduced based on WINDOWS system environment of small and medium-sized network security control and virus prevention and control strategies. In order to secure the safe and efficient operation of all work, to guarantee the network security and normal use of the system. Network security relative to our actual life is indispensable. At the same time, we must always pay heed to the construction of computer network security.

Abstract: the employee information management system is mainly for enterprise employees information for centralized management, convenient enterprises to establish a perfect and powerful employee information database, it is a SQL 2000 database as a development platform, using JSP program, complete the data input, modification, storage, call query, etc; Form data, and use the SQL 2000 database for data storage.

Abstract: For improving the reliability and resource utilization of oil and gas pipeline Supervisory Control and Data Acquisition (SCADA) system, the application framework of oil and gas pipeline SCADA system based on cloud computing and a high reliability scheduling algorithm is proposed in the paper. Simulation results show the SCADA system based on cloud computing with new scheduling algorithm can realize history data backup in many computers and real-time data processed with primary-backup copy. So, the new application framework and new scheduling algorithm can provide better reliability and improve the resource utilization of system.

Abstract: Protection object of data center is Botnet according to IRC (Internet Relay Chat) [2] protocol to spread. However, in order to be more covert and stronger, the design architecture and communication methods of Botnet are also constantly upgrading and innovating.

Abstract: Cars have become an important transportation tool of people's daily life. And how to implement information technology to improve the convenience and intelligence of using vehicle has become the popular research direction. In this paper, the author uses Spring+Hibernate framework and OBD technology to develop vehicle network platform with high portability, scalability, easy maintenance etc. The operation of this platform will greatly increase the intelligence and convenience of the vehicle use, provide practical application and research of the current vehicle network.

Abstract: Machining optimization problem aims to optimize machinery conditions which are important for economic settings. The effective methods for solving these problems using a finite sequence of instructions can be categorized into two groups; exact optimization algorithm and meta-heuristic algorithms. A well-known meta-heuristic approach called Harmony Search Algorithm was used to compare with Particle Swarm Optimization. We implemented and analysed algorithms using unconstrained problems under different conditions included single, multi-peak, curved ridge optimization, and machinery optimization problem. The computational outputs demonstrated the proposed Particle Swarm Optimization resulted in the better outcomes in term of mean and variance of process yields.

Abstract: With IPv6 industry chain gradually mature and commercial,IPv6 users and network scale expands unceasingly,University data center as the forefront of the information construction and core,the transition to IPv6 is a inevitable choice.In this paper,For university data center IPv6 deployment process,how to solve the problem of IPv4 and IPv6 coexistence and transition put forward the corresponding solutions,For university data center network protocol to IPv6 deployment has played a guiding significance in reality.

Abstract: The travel and tourism industry is one of the main sources of income in Thailand. People choose to travel around the world, as a way to relax and enjoy their time. Users search information from many resources before and during their travel. We grouped the mobile tourism applications into two main groups in order to analyse the nature of information in the tourism applications. Social network provides rich collaborative user-generated information. We found that most tourism applications require personal information and pre-existing association in order to get information. We argue that, in tourism, a user requires instant and easy access to information. So the social network might not be an appropriate option. Therefore we propose a simple collaborative user-generated content application, which has a location awareness chat system. We aim to provide an application with self-sufficient information that allows the user to instantly share, search, and comment on information at anytime and anywhere. Moreover, the location awareness chat system is introduced to provide instant firsthand information to the users as well.

Abstract: In order to solve the problem of low accuracy of single model collaborative filtering, this paper proposes an adaptive ensemble learning recommendation algorithm (AdaELRA). In the algorithm we minimize the prediction error through the gradient descent method, and set as the deviation coefficient to adaptive the prediction error, so that the sample weights will be more in line with the predictions. Theoretical analysis and experimental results show that the algorithm this paper proposed reduce the time complexity and it can improve the accuracy significantly.