16355724
The Bipartite Network Study of the Library Book Lending System
Through collecting the library lending information of the University of Shanghai for Science and Technology during one year, we build the database between the books and readers, and then construct a bipartite network to describe the relationships. We respectively establish the corresponding un-weighted and weighted bipartite network through the borrowing relationship and the reading days, thereout obtain the statistical properties via the theory and methods of complex network. We find all the properties follow exponential distribution and there is a positive correlation between the relevant properties in un-weighted and weighted networks. The un-weighted properties can describe the cooperation situation and configuration, but the properties with node weight may describe the competition results. Besides, we discuss the practical significance for the double relationship and the statistical properties. Further more, we propose a library personal recommendation system for developing the library humanity design resumptively.
38830410
Characteristics of the Group Interest Network
By studying the behavior characteristics visiting world wide web of the specifically campus group, this paper constructed dynamic group interest network, which was a para-bipartite graph. The time features that the group user visited world-wide-web had been observed, the topological structure had been discussed. The degree exponents had been drafted for the one week data. Although the users' visiting time is random and their surfing pages were different but the interests of a majority of the campus group were accordant. The results indicate that the incoming degree distribution of the group interest network follows power law. And the group interest spectrum was basically steady. The visiting behavior of the campus group had their special disciplinarian.
14935404
Levels of Authentication Assurance: an Investigation
The ES-LoA project, funded by the UK Joint Information Systems Committee (JISC) under its e- Infrastructure Security Programme, investigates current and future needs among UK research and education community for a more fine-grained authorisation scheme that would allow service providers to take into account of the levels of confidence in identifying a remote entity requesting for service access. Such a fine-grained authorisation scheme is attractive to service providers offering resources with varying levels of sensitivity and/or wishing to tailor their security protections based upon risk levels. Service providers may wish to restrict access to more sensitive resources only to those who have gone through a more stringent authentication process, or given the same remote entity, require the use of a stronger authentication token should the access request come from a more risky environment. In this way, the quality of an authentication instance, expressed as an authentication Level of Assurance (LoA), becomes one of the parameters used in access control decision making. This paper investigates the current worldwide efforts in defining LoA and identifies gaps in existing definitions when they are applied to a federated environment.
8241163
MS-BID: a Java package for label-free LC-MS-based comparative proteomic analysis
UNLABELLED
MS-BID (MS Biomarker Discovery Platform) is an integrative computational pipeline for biomarker discovery using LC-MS-based comparative proteomic analysis. This platform consists of several computational tools for: (i) detecting peptides in the collected patterns; (ii) matching detected peptides across a number of LC-MS datasets and (iii) selecting discriminatory peptides between classes of samples.


AVAILABILITY
MS-BID source codes, binaries and documentations are freely available under LGPL from http://tools.proteomecenter.org/msBID.php.
32437026
Fuzzy Comprehensive Evaluation for Power Network Operating Schemes
Based on the analytic hierarchy process, a fuzzy comprehensive evaluation method is proposed for power network operating schemes. Performance indices and corresponding membership functions are presented to denote their contributions on overall objective. The analytic hierarchy process is used to analyze influencing factors, to establish a hierarchical model and to rank the influencing factors in order of importance. After detailed analyses and calculations for each operating scheme, quantitative evaluation results that considering various factors comprehensively are obtained by a two-level fuzzy comprehensive evaluation. A decision support system using the proposed method is developed. Simulation results of a practical power system show its validity and effectiveness.
10586032
A tag recommendation system for folksonomy
Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type the tags whenever they post a resource, so that a good tag recommendation system can ease the process of finding some useful and relevant keywords for users. Researchers have made lots of relevant work for tag recommendation systems, but those traditional collaborative systems may not perform well in the case of a new user and a new resource.
 To address this problem, we propose a tag recommendation system for two different cases. The first case is that the active user or active resource is a new one which has not appeared in the past while the second case is that the active user and resource has already been posted. In this paper, we present two different methods for these two cases: a content-based method and a graph-based method. We implement our tag recommendation system in a realworld academic Folksonomy system. In order to gain better results,we apply improvements and combinations of previous work in each of these two methods.and combinations of previous work in each of these two methods. We participated into the Discovery Challenge 2009 with the proposed methods. The results of our teams are within the top teams.
36734488
Distributed Supercomputing for Graphics Applications: A Case Study on an Implementation of the Radiosity Approach
Besides the ray tracing technique, the radiosity method is another major approach for global illumination modeling in the field of computer graphics. Since this method needs a huge amount of storage space (both memory and disk) and a long pre-computation cycle, it is not suitable to implement it on conventional workstations, so therefore that supercomputers are necessary for such kind of graphics applications.