9274167
Communication-Garden System: Visualizing a computer-mediated communication process
Archives of computer-mediated communication (CMC) could be valuable organizational resources. Most CMC archive systems focus on presenting one of the three aspects of a CMC community: discussion content, participants' behavior, or social networks among participants. Very few CMC archive systems support the easy integration of these three aspects. This paper thus describes two-phase research to propose an automatic approach that facilitates users' integrated understanding of discussion content and behavior of CMC participants. We validated the approach through the development and evaluation of a prototype system, the Communication-Garden system.
27551113
Creating a Large-Scale Digital Library for Georeferenced Information
770502
Visualizing the archive of a computer mediated communication process
The archive of computer-mediated communication (CMC) process contains knowledge shared and information about participants' behavior patterns. However, most CMC systems focus only on organizing the content of discussions. We propose to demo a prototype system that integrates a social visualization technique with existing information analysis technologies to graphically summarize both the content and behavior of a CMC process.
16961887
Newsmap: a knowledge map for online news
Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a ID alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.
11070478
elpfulMed: Intelligent searching for medical information over the internet
Medical professionals and researchers need information from reputable sources to accomplish their work. Unfortunately, the Web has a large number of documents that are irrelevant to their work, even those documents that purport to be "medically-related." This paper describes an architecture designed to integrate advanced searching and indexing algorithms, an automatic thesaurus, or "concept space," and Kohonen-based Self-Organizing Map (SOM) technologies to provide searchers with fine-grained results. Initial results indicate that these systems provide complementary retrieval functionalities. HelpfulMed not only allows users to search Web pages and other online databases, but also allows them to build searches through the use of an automatic thesaurus and browse a graphical display of medical-related topics. Evaluation results for each of the different components are included. Our spidering algorithm outperformed both breadth-first search and PageRank spiders on a test collection of 100,000 Web pages. The automatically generated thesaurus performed as well as both MeSH and UMLS--systems which require human mediation for currency. Lastly, a variant of the Kohonen SOM was comparable to MeSH terms in perceived cluster precision and significantly better at perceived cluster recall.
12630328
Creating a large-scale content-based airphoto image digital library
This paper describes a content-based image retrieval digital library that supports geographical image retrieval over a testbed of 800 aerial photographs, each 25 megabytes in size. In addition, this paper also introduces a methodology to evaluate the performance of the algorithms in the prototype system. There are two major contributions: we suggest an approach that incorporates various image processing techniques including Gabor filters, image enhancement and image compression, as well as information analysis techniques such as the self-organizing map (SOM) into an effective large-scale geographical image retrieval system. We present two experiments that evaluate the performance of the Gabor-filter-extracted features along with the corresponding similarity measure against that of human perception, addressing the lack of studies in assessing the consistency between an image representation algorithm or an image categorization method and human mental model.
40795966
Research on Emotional Vocabulary-Driven Personalized Music Retrieval
In this paper, aimed at emotional interactive needs in music retrieval, a new retrieval method, based on dynamic characteristics of fuzzy psychological and linguistic value computing of music emotion, is putting forward. And an improved interactive genetic algorithm is designed for the emotional retrieval goal. In order to reduce users' fatigue of retrieval process, choice operator for fine breed, crossover operator holding the dominant element of emotion vector, and self-genetic operation strategy are designed.
6858621
A management strategy for distributed data in collaborative design
This paper presents a distributed data management strategy for collaborative design, which supports the data exchange pattern based on any fine-grained data as well as that based on traditional file service. Data are represented using XML and their exchange is achieved through the publishing and subscription mechanism among individual participants. It is also shown in this paper that how the data replication mechanism, which supports both synchronous and asynchronous mechanism, propagates updates among data copies to provide consistent views of data among many computers, in which the rule-based approach is used to resolve conflict. Based on this strategy, a research prototype system of collaborative design has been implemented and tested in the design of auto-body welding lines.
12364749
A Note on the Cramer-Damgård Identification Scheme
In light of the recent work of Micali and Reyzin on showing the subtleties and complexities of the soundness notions of zero-knowledge (ZK) protocols when the verifier has his public-key, we re-investigate the Cramer-Damgard intended-verifier identification scheme and show two man-in-the-middle attacks in some reasonable settings: one simple replaying attack and one ingenious interleaving attack. Our attacks are independent of the underlying hardness assumptions assumed.
12614266
SVision: A Network Host-Centered Anomaly Visualization Technique
We proposed a technique merged from a combination of both anomaly and graphical methods, for intrusion detection. The network is pictured as a community of hosts that exchange messages among themselves. Our aim is to graphically highlight those hosts that represent a possible threat for the network, so that a network administrator will be able to further explore the anomaly and decide upon the responses that are appropriate. We choose to test our view against the DARPA 99 intrusion detection and evaluation dataset since it provides labels which we can use to monitor our system. Experiments show our visualization technique as a possible alternative for detection of network intrusions, in particular Denial of Service (DoS) and Distributed-DoS attacks such as Ping Of Death, UDP storm, SSH Process Table, and Smurf, to name a few.
15840871
Chaotic Simulated Annealing Neural Network with Decaying Chaotic Noise and Its Application in Economic Load Dispatch of Power Systems
Based on chaotic neural network (CNN), chaotic simulated annealing model with decaying chaotic noise (CSA-DCN) is presented. This model combines some advantages of Hopfield neural network (HNN) and simulated annealing (SA) algorithm, and decaying chaotic noise produced by iterated functions of logistic map is inducted into this model, which means it can be used to solve many multidimensioned, discrete, nonconvex, nonlinear constrained optimization problems, such as economic load dispatch (ELD) of power systems. Involved the transmission loss and valve point effect (VPE), the CSA-DCN model is applied to solve the ELD problem, the simulation results of three examples show that the CSA-DCN model for the ELD problem is versatile, robust and efficient.