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.
2311114
A Novel Privacy and Copyright Protection Enforced Peer-to-Peer Network
Peer-to-peer (P2P) networks are widely used to share copyrighted contents and software illegally around the world. Development and applications of P2P technologies have faced strong legal and legislative challenges. A P2P network has to have built-in copyright protection to enable P2P technologies to advance on its own without court's and legislature's interference. In this paper, we propose a novel and practical P2P network with a strong privacy protection and reliable tracking mechanism to track the original uploader of any material in the P2P network. When a pirated material is found, its uploader is tracked down, and can be punished by revoking the access to the network, removing his or her uploaded materials, etc. The whole protection system is completely transparent to end users. The proposed scheme would effectively deter users from uploading illegally any copyrighted materials to and dramatically reduce copyrighted materials shared through our P2P network.
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.
2946583
Visualizing a computer mediated communication (CMC) process to facilitate knowledge management
The archive of a computer-mediated communication (CMC) process contains knowledge shared and implicit information about participants' behavior patterns during discussion. However, most CMC systems focus only on organizing the content of discussions. On the other hand, the social visualization research has developed techniques to depict human behaviors during a process of CMC but has not been integrated in any organizational memory system yet. In addition, the impacts of the graphical representations created by social visualization techniques have seldom been studied. The dissertation thus proposes a two-phase research to address those issues. The first phase proposes a prototype system that integrates a social visualization technique with various information analysis technologies to graphically summarize both the content and behavior of a CMC process. The second phase proposes to adopt the "de-featuring" approach used by previous interface evaluation studies to evaluate how the graphical interface developed affects users' information acquisition and evaluation process.
993092
Integrating Data Quality Data into Decision-Making Process: An Information Visualization Approach
Poor data quality (DQ) has been a troubling issue within many organizations. Thus it is important for a decision-maker to be aware of the data quality of the information based on which he/she makes a decision. However, the mental integration of DQ metadata in to a decision process poses a significant cognitive challenge. A decision-maker could be overloaded and may not effectively take advantage of the DQ metadata [2]. This paper thus proposes a visualization approach to reduce the amount of cognitive resource required for such mental integration.
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.
14599346
Generating Test Case from Functional Requirement of Web Applications
E-commerce has been developing rapidly around the world. We run Web application to support e-commerce. Quality of Web applications influences the functionalities and security of e-commerce. Modeling and testing are important to Quality of Web applications. Many researchers are still to find effective ways to model and test Web applications. Formal methods can improve the quality of Web applications. This paper suggests utilizing a formal language (object-z to) describe functional requirement of Web applications. An approach to generating test sequence is introduced in this paper. We analyze formal specification to find out atomic operations and then identify the environment precondition of the operation (EPRE) for each atomic operation. We use EPREs to build an environment Transition Graph (ETG). The steps of transforming an ETG into environment transition sequences are also addressed. Two test adequacy criteria are defined as a guideline for the selection of the test sequences.
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).
3094023
Fuzzy Classifier with Probabilistic IF-THEN Rules
The typical fuzzy classifier consists of rules each one describing one of the classes. This paper presents a new fuzzy classifier with probabilistic IF-THEN rules. A learning algorithm based on the gradient descent method is proposed to identify the probabilistic IF-THEN rules from the training data set. This new fuzzy classifier is finally applied to the well-known Wisconsin breast cancer classification problem, and a compact, interpretable and accurate probabilistic IF-THEN rule base is achieved.
14972252
Image coding with wavelet representations, edge information and visual masking
The wavelet transform provides a multiresolution representation of images. Edges, which are visually important, produce large coefficients across several scales in the wavelet transform domain. By tracking and predicting these edge coefficients across scales in the wavelet transform domain, we can greatly improve the compressed image quality with little degradation in compression ratio. This paper proposes a novel model-based edge tracking and prediction in the wavelet domain. It separates textures from edges and codes them differently. Edges are coded via an edge tracking and prediction, while textures are coded with either ordinary wavelet based image coding techniques or a "wavelet-like" filter bank which is similar to the tuning channels in the human vision system. The coding noise is then coded with a noise modelling. Visual masking models are also used to ensure the compressed image has little or almost no perceptual distortion.
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.