38900432
Fast (Structured) Newton Computations
Many vector-valued functions, representing expensive computations, are also structured computations. In this case the calculation of the Newton step can be greatly accelerated by exploiting this structure. It is often not necessary, nor economic, to form the true Jacobian in the process of computing the Newton step; instead, a more cost-effective auxiliary Jacobian matrix is used. This auxiliary matrix can be sparse even when the true Jacobian matrix is dense; consequently, sparse matrix technology can be used, to great speed advantage, both in forming the auxiliary matrix and in solving the auxiliary linear system.
5950596
Parallelism in Structured Newton Computations
PCT No. PCT/DE84/00257 Sec. 371 Date Aug. 13, 1985 Sec. 102(e) Date Aug. 13, 1985 PCT Filed Nov. 30, 1984 PCT Pub. No. WO85/02563 PCT Pub. Date Jun. 20, 1985.A spray pump having a connecting portion connectable to a container and whose housing is provided with co-axially step bores defining a venting chamber for venting the container and a pump chamber. The pump piston has oppositely conically divergent lips engaging the walls of the respective chambers and is hollow to receive the restoring spring which can also bear upon a checkvalve ball.
15478948
Efficient Video Object Segmentation by Graph-Cut
Segmentation of video objects from background is a popular computer vision topic and has many important applications. Most existing methods are either computationally expensive or requiring manual initialization, static cameras, and/or rigid scenes. In a previous work, we proposed a joint spatio-temporal linear regression algorithm to automatically cluster the sparse edge/corner pixels in each video frame and obtain two motion models for the object and background respectively. To label the rest pixels for object segmentation, in this paper, we propose to model the Optical-Flow residual error, color intensity residual error and temporal label consistency features, as well as color/edge orientation consistency constrains, in a graph, and apply the Graph-Cut algorithm to minimize the energy of the graph to obtain an optimal segmentation of the two motion layers boundaries. Finally the object layer is identified from the two using simple heuristics. Experimental segmentation result with videos taken by webcams is promising.
7928906
Augmenting Exercise Systems with Virtual Exercise Environment
Adhering to an exercise program is a challenge for everybody who wants to build a healthier body and lifestyle through physical exercise. We have developed an Virtual Exercise Environment (VEE) that augments stationary exercise equipment with virtual reality techniques to make exercising more enjoyable. Our VEE system consists of a recording system to capture video, distance and incline data about real trails, and a playback system which "displays" both video and terrain data in the form of video speed and resistance. Trails are played back according to the speed the user generates on the stationary exercise equipment. The system uses commodity capture and display devices and supports standard interfaces for existing exercise equipment. User studies have shown that users enjoy the ability to guage their progress and performance via their progress through trail playback in the VEE.
28282459
The design and characteristics of piezomotors using flexure-hinged displacement amplifiers
Two prototype piezomotors are described in terms of their operational principles, design, construction and some operating characteristics. Both are driven by mechanically amplified piezoelectric stack type actuators. One is a harmonic piezomotor in which the mechanically amplified displacements are used as the wave generator of a harmonic gear drive. The other uses similar mechanical amplifiers to drive a roller clutch motion generator. The requirements for effective mechanical amplifiers are discussed and the performance advantages of piezomotors based on them outlined. It is concluded that such motors can offer useful possibilities for specialist mechatronic applications.
14994096
Application of Synthetic Neural Network for Fault Diagnosis of Steam Turbine Flow Passage
It is difficult to determine the normal value for fault diagnosis of steam turbine flow passage, because the flow passage fault or regenerative system fault may result in the decrease of the relative internal efficiency of steam turbine. Based on analyzing the feature of flow passage and regenerative system, the flow passage condition of steam turbine can be evaluated by relative internal efficiency of stage groups. According to various effect factors, the methods to determine the normal value of relative internal efficiency of stage groups is proposed in this paper, which include application of synthetic neural network. Compared the measured values with these normal values, the operating condition of steam turbine flow passage can be evaluated and the detailed reasons of fault can be diagnosed.
2237682
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix of the given document corpus. In the latent semantic space derived by the non-negative matrix factorization (NMF), each axis captures the base topic of a particular document cluster, and each document is represented as an additive combination of the base topics. The cluster membership of each document can be easily determined by finding the base topic (the axis) with which the document has the largest projection value. Our experimental evaluations show that the proposed document clustering method surpasses the latent semantic indexing and the spectral clustering methods not only in the easy and reliable derivation of document clustering results, but also in document clustering accuracies.