Patent application number | Description | Published |
20090182083 | METAL COATING COMPOSITION - The present invention provides for a resin system and coating composition suitable for direct application to metal substrates. The composition may include a phosphate functional polyester. The polyester may be an unsaturated polyester polyol. The coating composition may further include a suitable curing agent, such as an isocyanate or melamine. The composition can be applied through traditional application equipment onto a variety of metal substrates and cures to an acceptable surface for further processing, such as top coating with basecoat and clearcoat. | 07-16-2009 |
20090182084 | METAL COATING COMPOSITION - The present invention provides for a metal coating composition that includes a resin system with at least one unsaturated polyester polyol and a curing agent such as an isocyanate or a melamine. The compositions are suitable as a primer and provide good adhesion and moisture resistance to metal substrates. | 07-16-2009 |
20100093918 | DISPERSING POLYMERS - A pigment dispersing polymer comprising a backbone having one or more urea groups and having polymeric side chains extending therefrom. The dispersing polymer may be formed from the reaction of a compound having one or more carbodiimide groups with acid functional resins such as acid functional polyesters, acid functional acrylics, acid functional polyethers, and fatty acids. | 04-15-2010 |
20100160537 | LOW BAKE, LOW VOC CONDUCTIVE PRIMER - The present invention provides for a sealer/primer that is generally cured at low bake temperatures. The composition utilizes a resin system to provide both conductivity and adhesion of the coating onto plastic substrates. The present invention uses a polyester, such as one that includes unsaturated polyester, in combination with other resins, including an acrylic, crosslinking agent and conductive pigment to create a conductive primer that can be cured at low temperatures. The composition can be applied through traditional application equipment, seals the surface of the substrate to which it is applied, and cures to an acceptable surface for further processing, such as painting. | 06-24-2010 |
20100203251 | COMPOSITIONS FOR MULTILAYER COATING AND RESINS THEREFORE - A 2K basecoat clearcoat system includes a solvent borne basecoat having a low Tg branched polyester polyol, optionally, a high Tg, high molecular weight thermoplastic resin, and a hardener that includes an isocyanate functional material suitable for crosslinking the polyester polyol, and optional thermoplastic resin. The solvent borne clearcoat composition includes a low Tg linear or branched polyester polyol, at least one other multi-functional polyol, and an isocyanate functional material suitable for crosslinking the polyester and multi-functional polyols. | 08-12-2010 |
20140302251 | RADIATION POLYMERIZABLE ABRASION RESISTANT AQUEOUS COATINGS - A radiation polymerizable aqueous coating composition comprising:
| 10-09-2014 |
20140303283 | CURABLE COMPOSITIONS - A multi-component curable composition which is reactive upon admixing of the components and which is the reaction product of: (i) a polyester epoxy block or graft copolymer having acetoacetoxy functionality; and (ii) a crosslinking component. The crosslinking component may include at least one imine functional compound having an average of at least two imine groups per molecule which are reactive with acetoacetoxy functionality. | 10-09-2014 |
Patent application number | Description | Published |
20120093370 | EVENT DETERMINATION BY ALIGNMENT OF VISUAL AND TRANSACTION DATA - Determination of human behavior from an alignment of data streams includes acquiring visual image primitives from a video input comprising visual information relevant to a human activity. The primitives are temporally aligned to an optimally hypothesized sequence of primitives transformed from a sequence of transactions as a function of a distance metric between the observed primitive sequence and the transformed primitive sequence. More particularly, transforming includes comparing the distance metric costs and choosing and performing the lowest cost of temporally matching the observed primitives to one or more transactions, deleting a primitive, or associating a primitive with a pseudo transaction marker. Accordingly, alerts are issued based on analysis of the transformation of primitives. | 04-19-2012 |
20130266227 | HUMAN ACTIVITY DETERMINATION FROM VIDEO - Automated analysis of video data for determination of human behavior includes segmenting a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The visual event is processed in view of associated non-video transaction data and the binary variable by associating the visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the visual event is not associable with the logged transaction, and dropping the visual event if the binary variable is false and the visual event is not associable. | 10-10-2013 |
20130336531 | SEQUENTIAL EVENT DETECTION FROM VIDEO - Human behavior is determined by sequential event detection by constructing a temporal-event graph with vertices representing primitive images of images of a video stream, and also of idle states associated with the respective primitive images. A human activity event is determined as a function of a shortest distance path of the temporal-event graph vertices. | 12-19-2013 |
20140247994 | HUMAN ACTIVITY DETERMINATION FROM VIDEO - Automated analysis of video data for determination of human behavior includes segmenting a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The visual event is processed in view of associated non-video transaction data and the binary variable by associating the visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the visual event is not associable with the logged transaction, and dropping the visual event if the binary variable is false and the visual event is not associable. | 09-04-2014 |
Patent application number | Description | Published |
20090263001 | SYSTEM AND METHOD FOR IMPROVED REAL-TIME CINE IMAGING - A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information. | 10-22-2009 |
20120235679 | MOTION COMPENSATED MAGNETIC RESONANCE RECONSTRUCTION IN REAL-TIME IMAGING - Magnetic resonance reconstruction includes motion compensation. Inverse-consistent non-rigid registration is used to determine motion between shots. The motion is incorporated into reconstruction. The incorporation compensates for the motion resulting from the period over which the MR data is acquired. | 09-20-2012 |
20120263365 | SYSTEM AND METHOD FOR IMPROVED REAL-TIME CINE IMAGING - A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information. | 10-18-2012 |
20130027037 | SELF CONSISTENT PARALLEL IMAGING WITH TEMPORAL SENSITIVITY ESTIMATION IN REAL-TIME MAGNETIC RESONANCE IMAGING - Parallel imaging magnetic resonance reconstruction is performed with temporal sensitivity. Rather than estimate the coil sensitivity once for each coil of an array, the coil sensitivity at different times is estimated. The movement of the patient may result in different sensitivities at different times. By using the time varying sensitivity in iterative, self-consistent, non-linear parallel imaging, real-time imaging may be provided with stable artifacts in view of increasing SNR even with higher reduction factors (e.g., 4-6). | 01-31-2013 |
20130266239 | SYSTEM AND METHOD FOR IMPROVED REAL-TIME CINE IMAGING - A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information. | 10-10-2013 |
20130278256 | SELF-CONSTRAINT NON-ITERATIVE GRAPPA RECONSTRUCTION WITH CLOSED-FORM SOLUTION - Parallel magnetic resonance imaging (pMRI) reconstruction techniques are commonly used to reduce scan time by undersampling the k-space data. In GRAPPA, a k-space based pMRI technique, the missing k-space data are estimated by solving a set of linear equations; however, this set of equations does not take advantage of the correlations within the missing k-space data. All k-space data in a neighborhood acquired from a phased-array coil are correlated. The correlation can be estimated easily as a self-constraint condition, and formulated as an extra set of linear equations to improve the performance of GRAPPA. We propose a modified k-space based pMRI technique call self-constraint GRAPPA (SC-GRAPPA) which combines the linear equations of GRAPPA with these extra equations to solve for the missing k-space data. Since SC-GRAPPA utilizes a least-squares solution of the linear equations, it has a closed-form solution that does not require an iterative solver. | 10-24-2013 |
20130279781 | METHOD FOR ESTIMATING A GRAPPA RECONSTRUCTION KERNEL - A method for improving the signal-to-noise ratio (SNR) of TGRAPPA. The SNR of the ACS lines is proportional to the condition number of the GRAPPA kernel encoding equations. Therefore, the GRAPPA kernel estimated from higher SNR ACS lines amplifies the random noise in GRAPPA reconstruction. In TGRAPPA reconstruction of dynamic image series, a widely used method to acquire ACS lines is to average-all-frame (AAF). The present disclosure utilizes a tile-all-frame (TAF) as ACS lines to improve the SNR of the reconstructed images. | 10-24-2013 |
20140212015 | De-noising of Real-time Dynamic Magnetic Resonance Images by the Combined Application of Karhunen-Loeve Transform (KLT) and Wavelet Filtering - A hybrid filtering method called Karhunen Loeve Transform-Wavelet (KW) filtering is presented to de-noise dynamic cardiac magnetic resonance images that simultaneously takes advantage of the intrinsic spatial and temporal redundancies of real-time cardiac cine. This filtering technique combines a temporal Karhunen-Loeve transform (KLT) and spatial adaptive wavelet filtering. KW filtering has four steps. The first is applying the KLT along the temporal direction, generating a series of “eigenimages”. The second is applying Marcenko-Pastur (MP) law to identify and discard the noise-only eigenimages. The third applying a 2-D spatial wavelet filter with adaptive threshold to each eigenimage to define the wavelet filter strength for each of the eigenimages based on the noise variance and standard deviation of the signal. Lastly, the inverse KLT is applied to the filtered eigenimages to generate a new series of cine images with reduced image noise. | 07-31-2014 |