14675043
Using 3D interfaces to facilitate the spatial knowledge retrieval: a geo-referenced knowledge repository system
Retrieving knowledge from a knowledge repository includes both the process of finding information of interest and the process of converting incoming information to a person's own knowledge. This paper explores the application of 3D interfaces in supporting the retrieval of spatial knowledge by presenting the development and the evaluation of a geo-referenced knowledge repository system. As computer screen is crowded with high volume of information available, 3D interface becomes a promising candidate to better use the screen space. A 3D interface is also more similar to the 3D terrain surface it represents than its 2D counterpart. However, almost all previous empirical studies did not find any supportive evidence for the application of 3D interface. Realizing that those studies required users to observe the 3D object from a given perspective by providing one static interface, we developed 3D interfaces with interactive animation, which allows users to control how a visual object should be displayed. The empirical study demonstrated that this is a promising approach to facilitate the spatial knowledge retrieval.
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.
30023273
MedTextus: an intelligent web-based medical meta-search system
We propose to demonstrate a web-based prototype system that integrates the meta-search approach with existing information analysis and visualization technologies to facilitate concept-based searching behavior over the medical domain. The system distinguishes itself from other meta-search engines through two features. It incorporates the co-occurrence analysis and existing ontology to understand user's query. It also utilizes the self-organizing map (SOM) to categorize and visualize search results.
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.
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.
15174288
Create a large-scale digital library for geo-referenced information
One of the most challenging research issues for geospatial collections is to develop techniques to support fuzzy, conceptbased, geographic information retrieval (GIR). Based on an artificial intelligence approach, this project presents a Geospatial Knowledge Representation System (GKRS) prototype system that integrates multiple multimedia (textual and image) knowledge sources to support concept-based GIR. Based on semantic network and neural network representations, GKRS loosely couples different knowledge sources and adopts spreading activation algorithms for concept-based knowledge inferencing. Both textual analysis and image processing techniques have been employed to create textual and visual geographical knowledge structures. This project suggests a framework for developing a complete GKRS-based system and describes in detail the prototype.
7138915
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. Our aim is to develop a novel graphical technique for network traffic visualization that will easily highlight anomalies that can arise within the network. In our work we are exclusively concerned with all the information that can be extracted at the network layer (e.g., from the TCP/IP datagram). We choose to use the Darpa 1999 database given the fact that all the intrusions are labeled and we can easily observe the visualization behavior while the network is under attack. Although applied to a dataset, the visualization technique can work on-line in a network because it only uses data that can be extracted in a real-time manner. Experiments show our visualization technique to be a good medium when trying to identify possible anomalies of the network such as:DoS types of attacks (e.g.,Smurfand Mailbomb) as well as probing attacks (e.g.,Portsweepand IPsweep).
38129543
Enhanced Verification-Based Decoding for Packet-Based LDPC Codes over Wireless Channels
In this paper, we apply the enhanced verification-based decoding algorithm (EVA) for packet-based LDPC codes over wireless channels. Compared with the verification algorithm (VA) in the literature, the EVA algorithm enhances the verification condition thereby reducing the likelihood of false verification. The wireless channels in simulations are modeled by binary symmetric channel (BSC) and Gilbert-Elliott (GE) channel. The numerical results indicate the proposed algorithm gives a superior performance but with only moderate computation increase compared with VA. For example, when the bit error probability is less than 10-3 in bad state of GE channel, the EVA reduces the frame error rate (FER) by one order with less than 35% complexity increase compared with VA.
4515160
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend of research in this area is towards extracting attack strategies from raw intrusion alerts. It is generally believed that pure intrusion detection no longer can satisfy the security needs of organizations. Intrusion response and prevention are now becoming crucially important for protecting the network and minimizing damage. Knowing the real security situation of a network and the strategies used by the attackers enables network administrators to launches appropriate response to stop attacks and prevent them from escalating. This is also the primary goal of using alert correlation technique. However, most of the current alert correlation techniques only focus on clustering inter-connected alerts into different groups without further analyzing the strategies of the attackers. Some techniques for extracting attack strategies have been proposed in recent years, but they normally require defining a larger number of rules. This paper focuses on developing a new alert correlation technique that can help to automatically extract attack strategies from a large volume of intrusion alerts, without specific prior knowledge about these alerts. The proposed approach is based on two different neural network approaches, namely, Multilayer Perceptron (MLP) and Support Vector Machine (SVM). The probabilistic output of these two methods is used to determine with which previous alerts this current alert should be correlated. This suggests the causal relationship of two alerts, which is helpful for constructing attack scenarios. One of the distinguishing feature of the proposed technique is that an Alert Correlation Matrix (ACM) is used to store correlation strengthes of any two types of alerts. ACM is updated in the training process, and the information (correlation strength) is then used for extracting high level attack strategies.
18585637
Research and Design of Multifunctional Intelligent Melted Iron Analyzer
A multifunctional intelligent melted iron analyzer is researched and designed. This device combined the function of thermal analysis for quality analysis of melted iron and ultrasonic measuring for nodularity. By thermal analysis, equation of linear regression wasused and the percentage composition of carbon, silicon and phosphorus etc. were obtained. In addition, thermal analysis was used to predict gray iron inoculation result, structure and performance. Therefore, ultrasonic measuring was adopted to be applied in this study to survey the nodularity of spheroidal graphite iron. In order to protect the analyzer far away from boiling melted iron, wireless temperature collection was adopted. The system is composed of PC104, single chip SPCE061 and other peripheral circuits. Designed temperature collection and ultrasonic measuring module, the software of data analysis and management is programmed by VB6.0 based on PC104 and windows operation system. After running for more than one year, the analyzer goes very well in the foundry.
19034041
Study on Agent-Based Parts Resource Application System for Commercial Design
An effective way of retrieving components is needed in order to make the implementation of product commercial development activity. In this paper, the components resource application method based on the software agent is proposed first. Then, on the base of comparison to the product commercial design components resources application system and the traditional supply chain system, three kind of application patterns based on the present network components resources are analyzed: the on-line purchase pattern, the on-line inquiry pattern and the on-line assign pattern. Then, according to the commercial development characteristic, the concrete structure of software agent suit to the commercialization performance is given. Corresponding, the components coding agent, the solid - commercial mapping and optimizing agent as well as managing agent are designed. From the initial period geometrical modeling, the intermediate stage commercial design as well as the entire process design management, the analysis of these three aspects have been carried on separately. In the end, the research work indicated that, the agent technology is one effective application method used to realizing the magnanimous components data analysis over the network