Abstract Scheduling is an important factor for the performance of Wimax system, especially for real-time applications. Earliest Deadline First (EDF) is a delay-optimal scheduling discipline commonly used in real-time applications in wired and wireless networks. Traditional schedulers like EDF do not take the packet destination distance into account. In this paper, we present a scheme that differentiates real-time packets according to... Scheduling is an important factor for the performance of Wimax system, especially for real-time applications. Earliest Deadline First (EDF) is a delay-optimal scheduling discipline commonly used in real-time applications in wired and wireless networks. Traditional schedulers like EDF do not take the packet destination distance into account. In this paper, we present a scheme that differentiates real-time packets according to their destination distance and assigns them to the dedicated queues which are long distance, middle distance and short distance queues. To the best of our knowledge none of the existing schedulers take destination into account. The proposed scheduler called Weighted Earliest Deadline First (WEDF) gives more precedence to long distance packets than short distance packets. The preliminary simulation results are promising. Read More Read Less

Abstract The large-scale seismic acquisition system (LSAS) is a kind of field data acquisition system in super scale. It can cover hundreds of square kilometers. To implement the real time transmission of so much data, speed and reliability are the most important criteria of the system. Based on 8b10b code, this paper discusses frame sync technology, error correction code (ECC), and... The large-scale seismic acquisition system (LSAS) is a kind of field data acquisition system in super scale. It can cover hundreds of square kilometers. To implement the real time transmission of so much data, speed and reliability are the most important criteria of the system. Based on 8b10b code, this paper discusses frame sync technology, error correction code (ECC), and a co-design method of them. The co-design of frame sync and Reed-Solomon (RS) code can optimize the resources of data transmission system. Generally, decoding of RS code is more complex than frame sync; so we suggest to design RS code by priority, and then consider the frame sync scheme. By this way, the requirement to the performance of RS code becomes lower. Simulation experiments show that data transmission system can be designed more efficiently by using this model. Read More Read Less

Abstract Image fusion is defi ned as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely spatial fusion and transform fusion and three levels namely pixel, feature and region level. In spatial fusion, the pixel values from the... Image fusion is defi ned as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely spatial fusion and transform fusion and three levels namely pixel, feature and region level. In spatial fusion, the pixel values from the source images are directly summed up and taken average to form the pixel of the composite image at that location. Transform fusion uses transform for representing the source image at multi scale. The most common widely used transform for image fusion at multi scale is Discrete Wavelet Transform since it minimizes structural distortions. But, Discrete Wavelet Transform suffers from lack of shift invariance and poor directionality. One way to avoid these disadvantages is dual tree complex wavelet transform which is expensive, computationally intensive and approximately shift invariant. But, the un-decimated discrete wavelet transform, namely Stationary Wavelet Transform is shift invariant and Wavelet Packet transform provides more directionality. In this paper, it is proposed to combine Stationary Wavelet Transform & Wavelet Packet Transform to form Stationary Wavelet Packet Transform which is applied to feature level fusion of multi-focused images and performance is measured in terms of Peak Signal to Noise Ratio, Root Mean Square Error, Quality Index and Normalized Weighted Performance Metric. Read More Read Less

Abstract Traditional information security models focus on protecting information or information systems. There is little research on controllability of Internet information security. We present network reference monitor (NRM) for access control in Internet environment. Then we propose the defi nition of network reference monitor and Internet information access control. Abstract operation model is put forward for controllability of Internet access control.... Traditional information security models focus on protecting information or information systems. There is little research on controllability of Internet information security. We present network reference monitor (NRM) for access control in Internet environment. Then we propose the defi nition of network reference monitor and Internet information access control. Abstract operation model is put forward for controllability of Internet access control. The model consists of three parts: information discovery model, information analysis model and information control model. Next, we express the intuitive formal specifi cation of controllability by PCTL logic. Then we characterize the process of Internet access control by fi nite state automata and present an evaluation model of controllability. Control Rate and Control Leak Rate are given to analyze access control of Internet information security quantitatively. Read More Read Less

Abstract Classification is an important research topic in data mining field, and it is one of main task of data mining. CBA (Classification Based on Associations) is a classification algorithm integration association rule mining and classification. CBA has been widely used in data mining areas because it has high classification accuracy and strong flexibility at handling unstructured data. However, when the... Classification is an important research topic in data mining field, and it is one of main task of data mining. CBA (Classification Based on Associations) is a classification algorithm integration association rule mining and classification. CBA has been widely used in data mining areas because it has high classification accuracy and strong flexibility at handling unstructured data. However, when the samples become more and more large and characteristic attributes become more and more numerous, CBA algorithm becomes much lower. In this paper, an improved CBA algorithm based on rough set is proposed to improve both accuracy and efficiency. The improved CBA algorithm applies rough set theory to reduce attributes, and prune candidate rules with PEP method. Experimental result illustrate that the improved CBA algorithm is more efficient than CBA, and it has higher accuracy than CBA and C4.5. Read More Read Less

Abstract Generating targeted advertisements for online social networks is a problem of growing interest. Monetizing activity in online social networks has been the topic of heated discussion lately. The undiscriminating tastes and spending power of a majority of its members makes this medium for self-expression and opinion sharing a very lucrative venue for advertising. The recent $240 million investment by Microsoft... Generating targeted advertisements for online social networks is a problem of growing interest. Monetizing activity in online social networks has been the topic of heated discussion lately. The undiscriminating tastes and spending power of a majority of its members makes this medium for self-expression and opinion sharing a very lucrative venue for advertising. The recent $240 million investment by Microsoft in Facebook clearly reaffi rms the opportunity in targeted advertising for online social networks. Content-targeted advertisement programs such as Google AdSense and Yahoo Contextual Match work by automatically spotting keywords in web pages and displaying ads based on the keywords. The displayed ads are also refereed as Contextual Advertisements. These ads are generally represented by a URL along with a textual description that is also used to match the ad with the target page. This model works relatively well on the Web but its applicability to social networks is being met with some important challenges. User activity on venues such as forums, marketplaces and groups on social networking sites are excellent targets for monetization. We present an algorithm based on keyword clustering to generate targeted ads. Read More Read Less

Abstract This paper presents an adaptive policy management scheme for the security threats in distributed systems. First, we investigate the security aspects of computer networks architecture and observe that security services are provided at application, transport and network layers. Network layer security presents some important opportunities for offering controls over security threats to distributed information systems connected to the global Internet.... This paper presents an adaptive policy management scheme for the security threats in distributed systems. First, we investigate the security aspects of computer networks architecture and observe that security services are provided at application, transport and network layers. Network layer security presents some important opportunities for offering controls over security threats to distributed information systems connected to the global Internet. Important details of Internet Protocol (IP) security services are studied and enhancements are proposed over handling both protected and unprotected packet traffics for a dynamic environment. Dynamism is in terms of severity of security threats. The contribution of the paper includes a security policy manager (SPM), which is an adaptive security control mechanism that would automatically configure security levels for a host in response to the frequency of security attacks. Read More Read Less