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1224 results about "Two parameter" patented technology

Two-Parameter Logistic Model - DRAFT VERSION. The 2PL (Birnbaum, 1968), generalizes the one-parameter logistic, or Rasch, model by allowing items to vary not only in terms of their difficulty (b) but also in terms of their ability to discriminate (a) among individuals of various proficiency.

Thin hollow backlights with beneficial design characteristics

InactiveUS20100156953A1Reduce the total massLosses associated with the light sources are kept to minimal levelsCathode-ray tube indicatorsHollow light guidesBack reflectorLight guide
A backlight unit (10) has a hollow cavity (16) instead of employing a light guide. One or more light sources (24a-c), such as LEDs, are arranged to emit light into the cavity, which is formed by a front (12) and a back reflector (14). The backlight is typically of the edge-lit type. The backlight can have a large area, is thin and consists of fewer components than conventional devices. Its design permits light recycling. The unit emits light of a predefined polarisation and can be arranged to have desired horizontal/vertical viewing angle properties. Light is uniformly distributed within the guide and the light output (20b, 2Od) is substantially collimated. Such backlights occupy a specific region in a parameter space defined by two parameters: first, the ratio of the output emission area to the total source emission area should lie in the range 0.0001 to 0.1; and second, the ratio of the SEP to the height of the cavity (H) should be in the range 3 to 10, where the SEP is an average plan view source separation, a special measure of the average spacing of light sources in the plane of the unit. There is also a discussion on the required number of light sources N, their arrangement near the periphery of the cavity, as well as the shape and size of the output emission area. A required minimum brightness uniformity (VESA) value to be maintained, when a subset of Madjacent sources is switched off (where M is at least 0.1 N or M>2 or both), is also disclosed. The backlight can be used for a display or for general lighting purposes.
Owner:3M INNOVATIVE PROPERTIES CO

Non-equilibrium capillary electrophoresis of equilibrium mixtures (NECEEM) - based methods for drug and diagnostic development

The invention discloses a Non-Equilibrium Capillary Electrophoresis of Equilibrium Mixtures (NECEEM) method and NECEEM-based practical applications. The NECEEM method is a homogeneous technique, which, in contrast to heterogeneous methods, does not require affixing molecules to a solid substrate. The method of the invention facilitates 3 practical applications. In the first application, the method allows the finding of kinetic and thermodynamic parameters of complex formation. It advantageously allows for revealing two parameters, the equilibrium dissociation constant, Kd, and the monomolecular rate constant of complex decay, koff, in a single experiment. In the second practical application, the method of this invention provides an approach for quantitative affinity analysis of target molecules. It advantageously allows for the use of affinity probes with relatively high values of koff. In the third practical application, the method of this invention presents a new and powerful approach to select target-binding molecules (ligands) from complex mixtures. Unique capabilities of the method in its third application include but not limited to: (a) the selection of ligands with pre-determined ranges of kinetic and thermodynamic parameters of target-ligand interactions, (b) the selection of ligands present in minute amounts in complex mixtures of biological or synthetic compounds such as combinatorial libraries of oligonucleotides, and (c) the selection of ligands for targets available in very low amounts. In particular, the method of this invention provides a novel approach for the selection of oligonucleotide aptamers. The NECEEM-based method can be used for discovery and characterization of drug candidates and the development of new diagnostic methods.
Owner:KRYLOV SERGEY

Hierarchical system used for four-wheel-hub motor-driven electric automobile, and control method

The invention discloses a hierarchical system used for a four-wheel-hub motor-driven electric automobile, and a control method. First of all, yaw moment is calculated as a yaw moment decision-making layer according to a vehicle speed sensor, a steering wheel rotary angle transmitter, an electronic throttle sensor and an inertia measurement unit; then according to automobile longitudinal force constraints, yaw moment constraints, a maximum adhesion force which can be provided by a pavement and restrictions of motor maximum output moment, target torque of each wheel hub motor is calculated as a target optimization analysis layer; and finally, degrees of similarity to six standard pavements are obtained by inputting two parameters, i.e., an adhesion coefficient and a wheel slip rate into a pavement adhesion coefficient estimation fuzzy controller by means of a current pavement, and an adhesion coefficient estimated value of the current pavement is obtained as a pavement adhesion coefficient monitoring layer after weighted averaging is performed. According to the invention, whole-vehicle stability is taken as a control target, motor torque is reasonably distributed according to operation working conditions, and the controllability, the stability and the economic property of vehicles are improved.
Owner:XI AN JIAOTONG UNIV

Power equipment current-carrying fault trend prediction method based on least squares support vector machine

The invention discloses a power equipment current-carrying fault trend prediction method based ona least squares support vector machine. The method provided by the invention comprises the steps of employing historical temperature data to train an LS-SVM regression model, and employing a PSO optimization algorithm to adjust two parameters of the model, namely nucleus width sigma and punishment parameter gamma; employing a PCA algorithm and a K-means clustering algorithm to real-time analyze the temperature of equipment contacts to find contacts with abnormal temperature rising, and using the temperature value asan initial value sequence of prediction;and finally employing the regression model obtained by training to predict the temperature value of the initial value for a long term and for a short term, and analyzing the highest point the contact temperature may reach and the time when the contact temperature reaches the highest point. Through predictive analysis based on PSO-LSSVM, fault development trend of equipment contacts is actively controlled, so the time for timely measures and ensuring the safe operation of power grid is bought. The method provided by the invention can be widely used in the field of power equipment forecast alarm protection.
Owner:ZHEJIANG UNIV +1
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