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This paper focuses on the research on how to determine the attribute layout in integrated query interfaces. Our algorithm is low in time complexity and easily expandable. In this paper, the structure of query interfaces are modelled into a tree before an integrated query interface tree is built by mining frequent pattern sub-tree so that it can satisfy structural constraints and sequence constraints...
In the current TCP congestion control algorithm, TCP Reno and its variants in the high-speed networks, has encountered many constraints. It is difficult to meet the higher requirements of QoS guarantee. The emergence of the Fast TCP may be used as the alternative TCP in congestion control in high-speed network environment. So it is necessary to make a comparison between TCP Reno and FAST TCP on the...
Wireless sensor networks (WSNs) require simple and facile error control schemes because of the low complexity and high energy efficiency request of sensor nodes. In this paper, we discuss ARQ, FEC, and Chase combing hybrid ARQ (HARQ) schemes using energy efficiency analysis on different communication distances and link layer frame lengths. We proposed a high energy efficiency adaptive error control...
This paper proposes a link layer adaptive hybrid FEC/ARQ based on Hops (HH-FEC/ARQ) for Wireless Multimedia Sensor Networks, in the hope that the media could be played on receiving sensor nodes with high quality. The algorithm, based on cross-layer optimization design, adjusting the FEC parameter N and the ARQ parameter Nmax according to the Hops of the link layer frames, can maximize the performance...
The range of parameter γ in FAST TCP are studied in this paper. A continuous time fluid flow model of the link buffer is considered to create a linear control system related to FAST TCP. Linearing the fluid flow model and window control model, the Laplace transform version of congestion control system are presented. It results in a negative feedback system with open loop transfer function. With the...
Two-Threshold Sequential Algorithm Scheme (TTSAS) is a straightforward clustering algorithm, and do not a priori presume a fixed number of clusters. We show how to accelerate it dramatically, while still always computing exactly the same result as the standard algorithm. The accelerated algorithm TI_TTSAS avoids unnecessary distance calculations by applying the triangle inequality. Experiments show...
In Mobile IPv6 (MIPv6), the route optimization or bidirectional tunnelling through the home agent show inefficiency in per-packet forwarding, especially when both communicating endpoints are mobile. To be scalable and compatible, mobile devices' packets should be forwarded in a way with minimal changes to the network infrastructure. However, the current solutions do not provide any means for the end...
With the improvement of cryptanalysis, More and more applications are starting to use Advanced Encryption Standard (AES) instead of Data Encryption Standard (DES) to protect their information security. However, current implementations of AES algorithm suffer from huge CPU resource consumption and low throughput. In this paper, we studied the technologies of GPU parallel computing and its optimized...
Reason about action of intelligent agent is surely one of the most exciting and challenging areas in Artificial Intelligence. Intelligent agents are embedded in an incomplete, dynamic environment to reason about action from the initial state to the final state. The Petri net as a mathematical model has the characteristics of dynamics, asynchronous, concurrent, and other features which make it can...
The distance relation reasoning method in random direction is put forward, aiming at conquering the limitation of only processing the same direction distance reasoning in the former distance relation reasoning system. The RCC-8 is extended to RCC-9 by subdividing relation, and the coarse granularity qualitative distance relation is consequently amalgamated. On the above basis, the classical combinatorial...
Electroencephalogram (EEG) data processing applications have become routine tasks in both bioscience and neuroscience research, which are usually highly compute and data intensive. In this paper, we present a parallel method to analyze the huge EEG data with a Beowulf cluster. Through an example of the synchronization measurement of multiple neuronal populations, the procedure of exploiting the parallelism...
The image analogy is a classical technique used in the style learning and Multimedia data mining. To regrettable the IA method can not be suitable to any pair of images. This article prime task has four aspects: 1 Proposed one kind of new image similarity measure operator. 2 Take Image difference measure operator as characteristic quantification IA method applicable scope. 3 To proposed one kind of...
The stability of FAST TCP in a single-link single-source is studied in this paper. A continuous time fluid flow model of the link buffer is considered to build a linear control system model related to fast TCP. Linearing the fluid flow model and window control model, Laplace transform version of the equations are presented. It results in a negative feedback system with open loop transfer function...
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