In order to solve the overload problem of root ONS in the EPC network, a load balancing algorithm based on multi-root ONS is proposed. Based on the proposed load balancing ONS (LB ONS) architecture, the ONS Root is de...
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The existing model simplification algorithm in simplified speed and quality can't reach a better compromise, so we present an improved quadric error metrics edge collapse mesh simplification algorithm. This algori...
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It is a challenge to verify integrity of dynamic control flows due to their dynamic and volatile nature. To meet the challenge, existing solutions usually implant an ＂attachment＂ in each control transfer. However, t...
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It is a challenge to verify integrity of dynamic control flows due to their dynamic and volatile nature. To meet the challenge, existing solutions usually implant an ＂attachment＂ in each control transfer. However, the attachment introduces additional cost except performance penalty. For example, the attachment must be unique or restrictedly modified. In this paper, we propose a novel approach to detect integrity of dynamic control flows by counting executed branch instructions without involving any attachment. Our solution is based on the following observation. If a control flow is compromised, the number of executed branch instructions will be abnormally increased. The cause is that intruders usually hijack control flows for malicious execution which absolutely introduces additional branch instructions. Inspired by the above observation, in this paper, we devise a novel system named DCFI- Checker, which detect integrity corruption of dynamic control flows with the support of Performance Monitoring Counter （PMC）. We have developed a proof-of-concept prototype system of DCFI-Checker on Linux fedora 5. Our experiments with existing kemel rootkits and buffer overflow attack show that DCFI- Checker is effective to detect compromised dynamic control transfer, and performance evaluations indicate that performance penaltyinduced by DCFI-Checker is acceptable.
Acquiring a Master Degree is becoming a common practice to ensure successful life and good career path, especially in developing countries. Master Degree in Information Technology is one of the most popular programmes...
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Acquiring a Master Degree is becoming a common practice to ensure successful life and good career path, especially in developing countries. Master Degree in Information Technology is one of the most popular programmes with prolific number of applications and students. This work has two main objectives. First is to discover the number of clusters of applicants and the characteristics of each cluster. Another is to develop a Genetic Algorithm based Partitioning Clustering Program. This is achieved by incorporating distance matrix and its application in Divisive Analysis and Gower's measure of similarity. The Genetic Algorithm based Partitioning Clustering program developed was proven superior to some common clustering techniques.
Smartphone based surveillance systems have gained popularity against camera-based surveillance systems for cost-efficiency and ease of deployment. However, existing smartphone-based surveillance systems need expensive...
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Smartphone based surveillance systems have gained popularity against camera-based surveillance systems for cost-efficiency and ease of deployment. However, existing smartphone-based surveillance systems need expensive additional devices to achieve the remote control functions of pan-tilt-zoom cameras, which limits their usage. In this paper, we present a smartphone-based video surveillance system with steering function and remote control operations. To realize the function of steering, a small clip is creatively used as a pedestal, while the vibration motor and digital compass embedded in the smartphone are responsible for rotation generating and orientation control, respectively. A set of protocols for remote control operations are also provided. Real-testbed based experiments show that the steering system is easy to deploy and very accurate, with an average rotation deviation less than 2.500 degrees. The latency of remote control under real network conditions is satisfactory, with an average time delay less than 5 seconds.
In recent years MapReduce has risen to be the de-facto tool for big data processing. MapReduce is a disruptive innovation. It has changed the landscape of database market, the landscape of technologies, as well as the...
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Image tag relevance estimation aims to automatically deter- mine what people lab.l about images is factually present in the pictorial content. Different from previous works, which either use only positive examples of ...
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Feature selection is a powerful tool of dimension reduction from datasets. In the last decade, more and more researchers have paid attentions on feature selection. Further, some researchers begin to focus on feature s...
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In order to further improve the velocity and the utilization of information contained in samples,an improved version of the Factor Analysis Algorithm(FAA) in factor spaces is presented in this *** primary algorithm is...
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In order to further improve the velocity and the utilization of information contained in samples,an improved version of the Factor Analysis Algorithm(FAA) in factor spaces is presented in this *** primary algorithm is considered from the whole classes during the selection of the next classified factor,by which a smaller decision domain is generated than that generated by considering from each class,and the deletion of the decision domain is critical in decreasing calculation and increasing the velocity of the ***,based on inheriting the merits of the initial algorithm,the pushing way by each column is changed into that by each class during the selection of the next classified *** change not only decreases the calculation,but also improves the utilization of the sample *** testing results also indicate that the improvement is significant and the testing accuracy rate and velocity are both better than the primary algorithm.
There are many real-world applications based on similarity between objects, such as clustering, similarity query processing, information retrieval and recommendation systems. SimRank is a promising measure of similari...
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