17563248
CyberCut: An Internet-based CAD/CAM System
“CyberCut TM ” is a testbed for an Internet-based CAD/CAM system. It was specifically designed to be a networked, automated system, with a seamless communication flow from a client-side designer to a server-side machining service. The creation of CyberCut required several new software modules. These include: a) a Web-based design tool in which Design-forManufacturing information and machining rules constrain the designer to manufacturable parts; b) a geometric representation called SIF-DSG, for unambiguous communication between the client-side designer and the server-side process planner; c) an automated process planning system with several sub-modules that convert an incoming design to a set of tool-paths for execution on a 3-axis CNC milling machine. Using this software-pipeline, a CyberCut service, modeled on the MOSIS service for VLSI chips, has been now been launched for limited studentuse at a group of cooperating universities.
23861231
The Manufacturing Advisory Service: Web-based process and material selection
The Manufacturing Advisory Service (MAS) is a concept level manufacturing process and material selection tool, geared toward educating designers in basic process capabilities and informing experienced designers about new technologies. The designer enters a dialogue with the MAS, answering questions about production quantity, typical tolerances, physical size, overall shape and cost requirements. At each step along the way, the user is presented with an updated, ranked list of manufacturing options. The list updates as soon as values are entered, and the underlying criteria that contribute to the rank are not obscured. This list can then be combined with material selection, resulting in an optimized matching of process/material pairs to the total set of requirements. The MAS is interlinked with web pages of instructions, tutorials, and references explaining the program, fabrication processes and material choices. The MAS performs its calculations using capability data from a remote database. The current version of the Manufacturing Advisory Service is located at: Http://cybercut.berkeley.edu/mas2/
31156941
A Robust Image Segmentation Model Based on Integrated Square Estimation
This paper presents a robust segmentation method based on the integrated squared error or L2 estimation (L2E). Formulated under the Finite Gaussian Mixture (FGM) framework, the new model (FGML2E) has a strong discriminative ability in capturing the major parts of intensity distribution without being affected by outlier structures or heavy noise. Comparisons are made with two popular solutions, the EM and FCM algorithms, and the experimental results clearly show the improvement made by our model.
1834224
Automatic Subcortical Structure Segmentation Using Probabilistic Atlas
Automatic segmentation of sub-cortical structures has great use in studying various neurodegentative diseases. In this paper, we propose a fully automatic solution to this problem through the utilization of a distribution atlas built from a set of training MR images. Our model consists of two major components: a local likelihood based active contour (LLAC) model and a guiding probabilistic atlas. The former has a very strong ability in standing out the structures that are in low contrast with the surrounding tissues. The latter has the functionality of defining and leading the segmentation procedure to capture the structure of interest. Formulated under the maximum a posterior framework, probabilistic atlas for the structure of interest, e.g. caudate, putamen, can be seamlessly integrated into the level set evolution procedure, and no thresholding step is needed for capturing the target.
40431123
Chai: Traits for Java-Like Languages
Traits support the factoring out of common behaviour, and its integration into classes in a manner that coexists smoothly with inheritance-based structuring mechanisms. 
 
We designed the language Chai, which incorporates statically typed traits into a simple Java-inspired base language, and we discuss three versions of the language: Chai1, where traits are only a mechanism for the creation of classes; Chai2 where traits are a mechanism for the creation of classes, and can also introduce types, and Chai3 where traits play a role at runtime, and can can be applied to objects, and change the objects' behaviour. We give formal models for these languages, outline the proof of soundness, and our prototype implementation.
9478325
A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation
This paper proposes a probabilistic prior-based active contour model for segmenting human brain MR images. Our model is formulated with the maximum a posterior (MAP) principle and implemented under the level set framework. Probabilistic atlas for the structure of interest, e.g., cortical gray matter or caudate nucleus, can be seamlessly integrate into the level set evolution procedure to provide crucial guidance in accurately capturing the target. Unlike other region-based active contour models, our solution uses locally varying Gaussians to account for intensity inhomogeneity and local variations existing in many MR images are better handled. Experiments conducted on whole brain as well as caudate segmentation demonstrate the improvement made by our model.
18146264
Clustering methodologies for identifying country core competencies
The technical structure of the Mexican science and technology literature was determined. A representative database of technical articles was extracted from the Science Citation Index for the year 2002, with each article containing at least one author with a Mexican address. Many different manual and statistical clustering methods were used to identify the structure of the technical literature (especially the science and technology core competencies), and to evaluate the strengths and weaknesses of each technique. Each method is summarized, and its results presented.