46032361
ERPDB: An Integrated Database of ERP Data for Neuroinformatics Research
Event-related potential (ERP) is the measurement of the brain's electrical activity in response to different types of events, such as attention, words, thinking, or sounds. By measuring the brain's response to such events, we can learn how different types of information are processed. As the mass of recorded ERP data explodes, an automatic and accurate tool to store, manage, and retrieve data readily is of increasing concern in neuroinformatics. In this paper, we describe a relational ERP database that has been constructed using the SQL server 2000 database management system and an IIS web server that has been setup for data retrieval through a custom web interface (http://202.113.232.103:8088/erpdb/index.asp). A novel database structure has been used to store ERP data of different activity channels, which provides a rapid and accurate way for data retrieval within any given range on the time zone with various searching options. The database is divided into: (1) subjects' information and record information and (2) ERP data, which has been structured and standardized in a database table supplemented with unrestricted text files. It can integrate or exchange data with other clinical databases or computer-based information systems through a program based on ADO techniques. Users are able to readily retrieve ERP data through the user-friendly web page interface. All online resources of the database are freely available to the scientific community. As the database develops further, we anticipate it will become a valuable tool that will make a great contribution to everyday clinical practice, teaching, and research work inneuroscience and psychology in the future.
445053
Prediction of Helix, Strand Segments from Primary Protein Sequences by a Set of Neural Networks
In prediction of secondary structure of proteins there are always some suspected segments. These suspected segments confuse people and lower the accuracy of prediction methods. To deal with this problem, a set of neural networks (NNs) are built based on helix, strand and coil segments selected from PDB. The test performance of these NNs on training data is perfect without surprise. However the prediction on test data is not good enough because the training data are lake of great representativeness. The results support the fact that closer neighbor vectors have the similar outputs of NNs. One can improve representativeness of training data without enlarging data scale as long as select less data from dense region and more from sparse region on condition that distribution of sample data has been known.
5856173
SHEETSPAIR: A Database of Amino Acid Pairs in Protein Sheet Structures
Within folded strands of a protein, amino acids (AAs) on every adjacent two strands form a pair of AAs. To explore the interactions between strands in a protein sheet structure, we have established an Internet-accessible relational database named SheetsPairs based on SQL Server 2000. The database has collected AAs pairs in proteins with detailed information. Furthermore, it utilizes a non-freetext database structure to store protein sequences and a specific database table with a unique number to store strands, which provides more searching options and rapid and accurate access to data queries. An IIS web server has been set up for data retrieval through a custom web interface, which enables complex data queries. Also searchable are parallel or anti-parallel folded strands and the list of strands in a specified protein.
16577876
FAME: Adding Multi-Level Authentication to Shibboleth
The paper describes the design of FAME (Flexible Access Middleware Extension) architecture aimed at providing multi-level user authentication service for Shibboleth, which is endorsed by the Joint Information Systems Committee (JISC) as the next generation authentication and authorisation infrastructure for the UK Higher Education community. FAME derives authentication assurance level based upon the strength of the authentication token and protocol used by the user when authenticating and feeds it to the PERMIS authorisation decision engine via Shibboleth to enable more fine-grained access control. In this way, access to resources is controlled according to the strength of the authentication method so that more sensitive resources may require users to identify themselves using a higher level of authentication.
15693719
Context-based Arithmetic Coding Reexamined for DCT Video Compression
This paper presents a new context modeling technique for arithmetic coding of DCT coefficients in video compression. A key feature of the new technique is the inclusion of all previously coded coefficient magnitudes in a DCT block in context modeling. This enables adaptive arithmetic coding to exploit the redundancy of the high-order Markov process in the DCT domain with a few conditioning states. In addition, a context weighting technique is used to further improve the coding efficiency. The complexity of the new arithmetic coding scheme is slightly lower than that of context-based adaptive binary arithmetic coding (CABAC) of H.264. Moreover, the scheme is made compatible to the AVS baseline profile. It achieves on average 13% improvement in compression ratio over context-based two dimension variable length coding (C2DVLC) designed for the DCT domain, and a similar coding efficiency as the CABAC technique in H.264.
6511638
Research on visualization techniques for web usability analysis
A main method to analyze the usability of web site is observing and analyzing users' action, collecting the relevant data. Yet the huge amount data make it difficult to find problems. This paper introduces web usability firstly, and then discusses visualization techniques for web. According to the need of website usability analysis, we developed a assistant tool named SUAT to help the usability experts finding usability problems. Using this tool I carried out a research based on a lot of websites and selected many users randomly to confirm the effect. The result shows that using SUAT can help usability expert effectively find the usability problems that are prone to be overlooked otherwise, what's more it can improve the efficiency and make the judgment more accurate.
25754285
DSA-based verifiable and recoverable encryption of signatures and its application in certified e-goods delivery
We present a new method for verifiable and recoverable encryption of DSA signatures, and apply this cryptographic primitive in the design of a novel certified e-goods delivery (DSA-CEGD) protocol. The DSA-CEGD protocol has the following features: (1) ensures strong fairness, (2) ensures non-repudiation of origin and non-repudiation of receipt, (3) allows the receiver of an e-goods to verify, during the protocol execution, that the e-goods he is about to receive is the one he is signing the receipt for, (4) does not require the on-line involvement of a fully trusted third party (TTP), but rather an off-line and transparent semi-trusted third party (STTP), and (5) provides the confidentiality protection for the exchanged items from the STTP.
5798533
A Flexible Routing Decision Framework to Support Diversified Application-Level Data Types in MANETs
Owing to the technological advances in computing power and wireless communications, applications that used to be only accessible on desktop computers are increasingly run-able on wireless devices. As a result, a wireless device user may run several applications at the same time, and these different applications may generate different data types. In a mobile ad hoc network (MANET) environment, which is popular among wireless device users, different data types may impose different routing considerations and prefer using different routing criteria. To support diversified routing requirements and to achieve efficient routing for applications with different data types, this paper proposes a novel Flexible Routing Decision (FRD) framework. The framework supports several routing metric types in one platform. It allows users to weigh, rank and use different types of routing metrics to select different routes on an individual application basis. It is expected that this approach could help users to find a route that is most suited to their application requirements.