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This paper proposes an attack pattern mining algorithm to extract attack pattern in massive security logs. The improved fuzzy clustering algorithm is used to generate sequence set. Then PrefixSpan is used to mine frequent sequence from the sequence set. The experimental results show that this algorithm can effectively mine the attack pattern, improve the accuracy and generate more valuable attack...
Traditional game AI is aimed at the standard players in the beginning of the construction. After designing the AI, The whole game decision-making system will not be dynamically adjusted, Because of the strong regularity, the traditional game AI is easy to be found the weakness by users, which is not easy to maintain the rationality of the decision. This paper presents a design scheme of game AI based...
Evaluating the performance of Forward Collision Avoidance Technologies (FCATs) is essential in the early stage of the system testing. Drivers are the key interaction parts between the FCATs and vehicles, which play an important role in the performance evaluation. This paper proposes a practical method to evaluate the performance of FCATs by using a novel driver hazard perception measure, namely driver's...
Motivated by the attention on salient objects, conventional region-of-interest (ROI)-based image coding approaches attempt to assign more bits to ROIs and fewer bits to other regions. Thus, the perceptual quality of salient object regions is improved by sacrificing the quality of non-ROI regions with unpleasant artifacts. To address this issue, we concentrate on the efficient compression of object-centered...
For the question that how to show the emergency supply in the software, a mathematical model is developed in this paper. The mathematical model distinguishes connecting sides, nodes from different networks, which includes modeling events as material information, information of transporting vehicles, scheduling schemes, and disaster points. Then according to requirements of the modeling elements and...
Line loss management is an effective measure for electric power company to reduce running cost. An electric power company has collected a large amount of marketing data in recent years with the construction of information acquisition system. From the data management and analysis point of view in this paper, combining Oracle database and Matlab to create partition of marketing data and then defining...
This paper presents a trust management model based on multi-agent and trust evaluation. It adopts the centralized distribution management mode and sets up multiple third-party agents in the cloud, furthermore, it can manage the users and cloud services by the collaboration of the agents effectively. By using multiple third-party agents, it can reduce the single-agent's pressure of computation, storage...
Recent developments of modern technologies such as cloud computing, wearable sensor devices and big data have significantly impacted people's daily lives, and offer real potential for an Internet-wide, people-centric ecosystem. These advances in technology will considerably extend human capabilities in acquiring, consuming and sharing personal health information. A future in which we are all equipped...
Traditional methods do not actually measure peoples' risk attitude naturally and precisely. Therefore, a fuzzy risk attitude classification method is developed. Since the prospect theory is usually considered as an effective model of decision making, the personalized parameters in prospect theory are firstly fuzzified to distinguish people with different risk atti-tudes, and then a fuzzy classification...
In this work, we address the problem of finding experts using chains of social referrals and profile matching with only local information in online social networks. By assuming that users are selfish, rational, and have privately known cost of participating in the referrals, we design a novel truthful efficient mechanism in which an expert-finding query will be relayed by intermediate users. When...
The paper introduces ontology into knowledge construction of petroleum exploitation domain in order to solve problems on information sharing and application integrating which are caused by the inconsistence of information terms between disciplines. Through the formal description of ontology, this paper puts forward an improved method of ontology mapping, designs an ontology integration platform of...
In allusion to the character of aircraft orientation error in inertial navigation system increasing with its working time and error accumulation, airborne image aided navigation system is imported in inertial navigation system to combine integrated navigation system. To acquire high orientation accuracy and high matching speed a new algorithm based on multi-scale edge detection and generalized point...
Internet Automatic Sales System is be used to assist people in net business. Since part of the talking continent in purchasing is always asked frequently, so the statistic method like TFIDF is applied to deal this issue. Based on the experiment situation, baseline system based on TFIDF achieved very good effect. But the classic algorithm is not enough to reach real application requirement, the Dice...
Localization has been an important issue along with the development of context-aware systems applicable to dynamic mobile environment. In this article, we deployed indoor positioning experiment on positioning platform of CC2431 based on Zigbee wireless sensor networks. In real environment we study the positioning accuracy with respect to different channel number, and the number of different reference...
Aimed at the deficiency of research and development in management information system for dam safety monitoring (DSMMIS) at home and abroad, considering the developing demand of dam safety monitoring and management, DSMMIS based on B/S (Browser/Server) have been researched. Based on B/S, the system is designed and realized by adopting ASP.NET(C#) technique and SQL server 2005 database, mainly including...
In this paper, a designing system of low-voltage AC contactor parts is developed by using the techniques of development for Pro/ENGINEER. Industry standard and expertise are added into the designing process, parameter-driven technology is used to realize product parts' parametric design, at the same time, ADO technology is adopted to build the database of low-voltage AC contactor's designing knowledge...
Video annotation is very important for video management, such as video retrieval. Despite continuous efforts in inventing new annotation algorithms, the annotation performance is usually unsatisfactory, and the annotation vocabulary is still limited due to the use of a small scale training set. In this paper, a novel video annotation framework based on the video object is presented, named object-based...
Frequent itemsets mining is an important data mining task. Until now there are many algorithms to mine frequent itemsets, this paper emphatically analyses existing algorithms' memory structure of transaction database and realization skill, as well as the usage of memory. On the basis, two new data structures UFP-Tree and FP-Forest are designed, which use multi-trees structure to store data and solve...
Association rules mining is an important data mining task, this paper emphatically analyzes realization skill and defects of existing algorithms. On the basis, a novel measure, named statistical correlation, which can indicate the correlation degree of multi-items in a rule, is put forward to cut association rules with independent or negative correlation, and its concept, calculating formulas and...
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