2034529
Maximizing Throughput of an Optical Opportunistic Hyperchannel Subject to QoS Constraint
Opportunistic hyperchannel was proposed as an improvement of light-trail to carry IP traffic over wavelength division multiplexing (WDM) optical networks given its capability of enabling high speed provisioning and accommodating multi- granularity traffic. In an opportunistic hyperchannel, the optical shutters at the start node and the end node are configured to be in OFF state and the optical shutters at the intermediate nodes can be self-adjusted to be in ON/OFF according to actual traffic. With this ability, an opportunistic hyperchannel can be dynamically divided into multiple segments, and each segment can independently accommodate a request. Thus, an opportunistic hyperchannel can amplify the system throughput. In this paper, we present a centralized dynamic scheduling protocol named prioritized maximum independent set (PMIS), and introduce a data structure called 2-dimensional priority search tree (2D-PST) that supports PMIS. With 2D-PST, one round of PMIS can be carried out in O(k . log n . log m) time to maximize the system throughput under the constraint of assuring quality of service (QoS) for opportunistic hyperchannels. The simulation results quantitatively demonstrate the effectiveness of PMIS protocol.
18580310
1-Persistent Collision-Free CSMA Protocols for Opportunistic Optical Hyperchannels
Recently, a new WDM optical network infrastructure named SMART [1], which is capable of dynamically setting up, modifying, and tearing down optical connections, was proposed. The performance of SMART is determined by the performance of its hyperchannels, which are essentially optical buses or light-trails. Previously proposed CSMA protocols for unidirectional optical buses can be used as distributed medium access control protocols for hyperchannels. However, these protocols are either unfair, or not work-conserving. In this paper, we propose a class of work-conserving, collision-free, and fair CSMA protocols for opportunistic hyperchannels which are tailored hyperchannels for SMART. We show that the performances of our proposed protocols are much better than that of p i -persistent CSMA and that of priority-based CSMA protocol in terms of throughput and fairness.
16456710
News Summarization Based on Semantic Similarity Measure
This paper proposed a new method of news summarization based on semantic similarity measure. It used Latent semantic indexing (LSI) to measure sentence similarity, then it used Singular Value Decomposition (SVD) to reduce the dimension of the word-sentence matrix, it used new clustering algorithm to cluster all the sentences. It ordered all the sentences according to their relevant positions in the original document. Experimental result shows that the proposed method can improve the performance of summary.
12168164
Lessons learned from the practice of mobile health application development
This fast abstract briefly discusses lessons learned in terms of how to overcome limitations of PDA devices, effectively capture requirements for mobile health application development and effectively reengineer a desktop application on PDA. The limitation of PDA devices includes: (1) small screen size, which limits text-based data entry, reporting and browsing; (2) limited storage space and slow processing, which requires effective and efficient coding generation; (3) security limitations and inadequate third party application support, which poses challenge for application development. The corresponding strategies addressing the above challenges are: (1) providing check box, radio button, drop down list, text field, combo box based data entry and minimize text-based data entry, such as text area; (2) allocating as much as possible data storage, communication and computation tasks to the desktop system and minimize the function PDA component needs to handle, store data in file instead of database on PDA; (3) carefully selecting the device and implementation platform that supports development. To maximize the usability of PDA-based health application, the solution to be implemented on PDA ideally should be data management tasks with minimum text-based data entry and high frequency of recording. Challenges and solutions for software reengineering from desktop system to PDA-based application is outlined based on one application developed for World Health Organisation. In this example, the complex task of communication among PDA-based application, desktop system and the existent desktop application EpiData is effectively handled through the utilisation of XML files. A dynamic tool 'Questionnaire Designer' provides a completely dynamic user interface generation tool that could easily be handled by end user. The design idea for this application sets up a model for mobile health application with adequate flexibility of handling changing data management needs of end users.
3115667
Synchronization of Rikitake Chaotic Attractor via Partial System States
This paper treats the chaotic synchronization problem for Rikitake chaotic systems via unidirectional coupling with partial systems states. Two control approaches, namely the self coupling of single state variable and nonlinear feedback controller with partial systems states, are investigated. Based on the Lyapunov stability technique, control laws based on single variable of driven system are derived such that the two identical Rikitake chaotic systems are asymptotically synchronized, where the control scheme doesn't need additional energy and it just relies on the self coupling of single state variable of the chaotic systems. Meanwhile, the complete synchronization for two identical Rikitake chaotic systems by feedback control laws with partial systems states is also derived using the conditions of asymptotical stability and exponential stability. Finally, numerical experimental results of two synchronized Rikitake chaotic systems are presented.
14824084
News Video Retrieval by Learning Multimodal Semantic Information
With the explosion of multimedia data especially that of video data, requirement of efficient video retrieval has becoming more and more important. Years of TREC Video Retrieval Evaluation (TRECVID) research gives benchmark for video search task. The video data in TRECVID are mainly news video. In this paper a compound model consisting of several atom search modules, i.e., textual and visual, for news video retrieval is introduced. First, the analysis on query topics helps to improve the performance of video retrieval. Furthermore, the multimodal fusion of all atom search modules ensures to get good performance. Experimental results on TRECVID 2005 and TRECVID 2006 search tasks demonstrate the effectiveness of the proposed method.
17495157
Summarization for Internet News Based on Clustering Algorithm
For the explosion of information in the World Wide Web, this paper proposed a new method of summarization for Internet news based on clustering algorithm. It used google search engine to extract relevant documents, and mixed query sentence into sentences set which segmented from relevant document set, then this paper adopted effective cluster algorithm to cluster all the sentences. In the period of summary generation, the summary sentences were extracted by turns from the clusters which query sentence in. Experimental result shows that the proposed summarization method can improve the performance of summary, clustering algorithm is effective.