This paper presents an e-Science Grid architecture called Virtual and Dynamic Hierarchical Architecture (VDHA). VDHA is a decentralized architecture with some P2P properties. It also has scalable, autonomous, exact, and full service discovery properties. We have implemented a demonstration VDHA_based Grid prototype VDHAGrid, which has scalable Grid information service. VDHA_Grid is the core software for the project of the Chinese University e-Science Grid. In this paper, advantages and several protocols of the VDHA are also discussed.

We present a novel text mining approach to uncover the functional gene relationships, maybe, temporal and spatial functional modular interaction networks, from MEDLINE in large scale. Other than the regular approaches, which only consider the reductionistic molecular biological knowledge in MEDLINE, we use TCM knowledge(e.g. Symptom Complex) and the 50,000 TCM bibliographic records to automatically congregate the related genes. A simple but efficient bootstrapping technique is used to extract the clinical disease names from TCM literature, and term co-occurrence is used to identify the disease-gene relationships in MEDLINE abstracts and titles. The underlying hypothesis is that the relevant genes of the same Symptom Complex will have some biological interactions. It is also a probing research to study the connection of TCM with modern biomedical and post-genomics studies by text mining. The preliminary results show that Symptom Complex gives a novel top-down view of functional genomics research, and it is a promising research field while connecting TCM with modern life science using text mining. Keywords: Text Ming, Traditional Chinese Medicine, Symptom Complex, Gene Functional Relationships

A new classification system for text-independent speaker recognition is presented. This system conibines thc output probabilities of gcnerativc Gaussian mixture models and discriminative classifier support vector machines. The new method is tested on the YOHO database and achieves superior performance.

Traditional Chinese Medicine (TCM) as a complete knowledge system researches into human health conditions via a different approach compared to orthodox medicine. We are developing a Unified Traditional Chinese Medical Language System (UTCMLS) through an ontology approach that will support TCM language knowledge storage, concept-based information retrieval and information integration. UTCMLS is a huge knowledge project, which is a broad collaboration of 16 distributed groups, most of them with no prior experience of formal ontology development. Therefore, the cooperative and comprehensive ontology engineering is crucial. We use Prot

KDD是从海量数据中获取有效、新颖、有潜在应用价值和最终可理解的模式的信息技术。中医药学是中华民族的文化瑰宝，几千年来积累了海量的数据，采用KDD技术从这数据的汪洋大海中发现有意义的知识，对于中医药的信息化来讲既是必要的，也是可行的。近几年来，我们在中医药海量数据数字化的基础上进行了中医药领域的KDD探索，取得了一系列成果。实践表明，利用KDD技术进行中医药知识发现是有效的、有前景的，并能推动中医药的信息化进程。

3D facial data is potential to overcome the problems of illumination and pose variation in face recognition. In this paper, we investigate face recognition from range data by facial profiles and surface. An efficient symmetry plane detection method for facial range data is presented to help extract facial profile. A global profile matching method is exploited to align and compare two profiles, without detection of fiducial points that is often unreliable. The central profile and two kinds of horizontal profiles-nose-crossing profile and forehead-crossing profile, are employed in recognition. For each individual, a statistical model is built to represent the distinct discriminative capability of the different regions on the facial surface, then is incorporated into a weighted distance function to measure similarity of surfaces. The comparable experimental results are achieved on a facial range data database with 120 individuals.

In presence of Grid where a huge amount of databases can be involved in sharing cycle, database tools and middlewares should be well suited for schema mediation and query processing in a semantically meaningful way. Dart is an implemented prototype system whose goal is to provide a semantic solution for database resource sharing capable of deployment in grid settings. This paper particularly concerns the problems of schema mediation in DartGrid∗. Our approach mainly involves the following notions: a) we use RDF/OWL to define the mediated ontologies for integration, b) we devise a set of rules for automatically converting the relational schema to RDF/OWL description called source data semantic ,c)we define the source data semantic (source schema) as the view of shared ontologies (mediated schema),d) query is formulated and posed on the shared ontologies. A set of grid services are developed for the implementation of above functionalities.

Dynamic Bayesian networks (DBNs) are knowledge representation schcmes that can chamtense probabilistic relationships over timese& dam and prrfumi probabilistic inference. A new approach IO speaker identification using DBNs is presented. Superior reSultS are achieved in experiments over a subset orYOHO corpus.

In this paper, we presented a novel approach for automatic 3D face verification from range data. The method consists of range data registration and comparison. There are two steps in registration procedure: the coarse step conducting the normalization by exploiting a priori knowledge of the human face and facial features, and the fine step aligning the input data with the model stored in the database by the partial directed Hausdorff distance. To speed up the registration, a simplified version of the model is generated for each model in the model database. During the face comparison, the partial Hausdorff distance is employed as the similarity metric. The experiments are carried out on a database with 30 individuals, and the best EER of 3.24% is achieved.