82 results about "Local evaluation" patented technology

The invention provides a traffic information display method which presents traffic information so as to quantatively indicate the reliability and superiority of traffic information. The invention also provides a traffic information providing system which clearly communicates an “unknown” section to the receiving party. The invention represents the state volume of traffic information by the state volume of each sampling point set by segmenting a target road and represents traffic information by using the state volume of traffic information and gray scale information which displays the reliability of the state volume in multiple levels. The user thus understands how reliable the traffic information is and properly evaluates the traffic information. The traffic information may be used to perform a high-accuracy path search and provide traffic information at a reasonable cost. The traffic information providing system of the invention includes traffic information providing apparatus for providing, as traffic information, the state volume of traffic information of each distance quantization unit set by segmenting a target road and mask bit information indicating that the state volume is valid or invalid, and traffic information utilization apparatus for reproducing a valid state volume by using the mask bit information. In the traffic information providing system, the receiving party clearly recognizes, based on the mask bit information, an “unknown” section enclosed by an ellipse:

A three-dimensional image evaluation unit (100) for evaluating an input image. The parallax statistic is calculated by measuring the parallax included in the input image by a parallax measuring means (3), the static parallax evaluation value for the calculated parallax statistic and / or a dynamic parallax evaluation value for a temporal change in the parallax statistic is determined by a static parallax evaluating means (4-1) and / or a dynamic parallax evaluating means (4-2) of an evaluating means (4) to evaluate parallax information on the image. An abrupt change in the parallax can be evaluated thereby, and countermeasures against errors in measurement and noise of the image can be taken, so that parallax information on the image can be suitably evaluated.

An interpretation method and system for NMR echo-train data in thinly laminated sequences. The invention uses geological information obtained at higher vertical resolution, such as using Electric Micro Imaging, to enhance the vertical resolution of echo-train data, and thus avoids log interpretations in which the hydrocarbon potential of the formation can be misread because low resolution logs tend to provide an average description of the formation. Such averaging is especially problematic in thinly laminated sequences that consist of highly permeable and porous sand layers and less permeable silt or essentially impermeable shale layers. In a preferred embodiment, using the additional high-resolution formation information one can estimate the typical T2-spectra of lithological laminae, and significantly enhance the permeability estimate in the laminated sequences. In another aspect the system and method of the preferred embodiment use neural network(s) to further enhance the resolution of a particular log measurement. The method and system are applicable to any temporal data from other logging tools, such as the thermal neutron decay log and others. The system and method enable proper evaluation of the high potential of thinly laminated formations, which may otherwise be overlooked as low permeable formations.

A method of designing lithographic masks is provided where mask segments used in a model-based optical proximity correction (MBOPC) scheme are adaptively refined based on local image information, such as image intensity, gradient and curvature. The values of intensity, gradient and curvature are evaluated locally at predetermined evaluation points associated with each segment. An estimate of the image intensity between the local evaluation points is preferably obtained by curve fitting based only on values at the evaluation points. The decision to refine a segment is based on the deviation of the simulated image threshold contour from the target image threshold contour. The output mask layout will provide an image having improved fit to the target image, without a significant increase in computation cost.

The invention belongs to the field of computer vision and relates to a quantified evaluation method of image mosaic algorithms. The method comprises the following steps: carrying out mosaic on mosaic sequence images by adopting different mosaic algorithms to be evaluated so as to obtain mosaic composite images; carrying out overall statistics on the mosaic composite images and computing a global evaluation index; selecting corresponding mosaic sequence images as reference images in allusion to local mosaic composite images so as to carry out reference image quality evaluation and compute a local evaluation index; and constructing image mosaic evaluation index system levels by adopting a multi-index comprehensive evaluation method, determining the weighting coefficients of the indexes according to the mosaic requirement and purpose, normalizing the evaluation indexes and carrying out weighted aggregation step by step to finally obtain a comprehensive evaluation result. Through the quantified evaluation method of the image mosaic algorithms, the difficulties existing in the current mosaic evaluation algorithms are overcome; and the evaluation result fits the subjective judgment results of people and has objectivity, consistency and stability. The quantified evaluation method of the image mosaic algorithms can also be used for the quantified comprehensive evaluation of the algorithms such as image fusion and the like.

A method of designing lithographic masks is provided where mask segments used in a model-based optical proximity correction (MBOPC) scheme are adaptively refined based on local image information, such as image intensity, gradient and curvature. The values of intensity, gradient and curvature are evaluated locally at predetermined evaluation points associated with each segment. An estimate of the image intensity between the local evaluation points is preferably obtained by curve fitting based only on values at the evaluation points. The decision to refine a segment is based on the deviation of the simulated image threshold contour from the target image threshold contour. The output mask layout will provide an image having improved fit to the target image, without a significant increase in computation cost.

A company technical document group analysis supporting device comprises index term extracting means for extracting an index term from a group of documents of a subject company including a technical document group, clustering means for classifying the document group of the subject company under given conditions to acquire multiple clusters, number-of-documents determination means for determining the number of documents belong to each cluster, appearance frequency calculating means for calculating a function value of an appearance frequency of each extracted index term in each cluster, per-cluster keyword point calculating means for calculating the keyword point in each cluster by dividing the function value of the appearance frequency of each index term in each cluster by the number of documents belonging to each cluster, and entire-cluster keyword point calculating means for calculating the total for the entire clusters of the results of the calculation by the per-cluster keyword point calculating means for each index term. Thus, it possible to automatically analyze a technical document group to easily and appropriately evaluate the technical characteristics of a subject company.

A system and method for facilitating appraisals is disclosed. A lender and / or customer may request an appraisal from a hub. The hub checks the schedules of local appraisers, selects an appraiser and schedules the appraisal. Once the appraisal has been completed, the appraiser uploads the appraisal information and the hub transfers the information to the requestor or other customer. The hub may also store the appraisal and information about the uploaded appraisal for analysis regarding the appraised property or the appraiser's work product.

A method of evaluating a software status of computer equipment comprises the following steps. Firstly, a local data connection is initiated between a mobile computing device and the computing equipment to be evaluated. Following this, a transaction is performed between the mobile computing device and the computing equipment. During this transaction, information is exchanged between the mobile computing device and the computing equipment relating to a current software status of the computing equipment or a preferred software status. This allows the current software status of the computing equipment can be evaluated. Suitable mobile computing devices and computing equipment are also provided.

The invention belongs to the field of computer vision, and discloses a fixation point detection method based on local evaluation and global optimization. The method comprises the steps of extracting possible candidate targets in an image; then utilizing a supervised learning method to conduct local evaluation on the targets, wherein two evaluation methods are as follows, (1), grading significance of each proposals using image training SVM of a whole database; (2), utilizing a semi-coupled dictionary learning algorithm, reconstituting different SVM aiming at different images, and grading the proposals of the image with pertinence; after local evaluation, utilizing a proposal subset optimization algorithm to cluster proposals; finally conducting global optimization. According to fixation point detection method based on local evaluation and global optimization, aiming at the characteristics of different information catching the attention of human eyes, a model capable of seizing the information is designed, and the human eye gazing area in an image containing semantic information, an image containing objects, and an image which is complicated or does not contain the objects can be effectively detected.

A method and apparatus implementing domino static random access memory (SRAM) leakage current reduction include a local evaluation circuit coupled to true and complement bit lines of a pair of local SRAM cell groups, receives precharge signals and provides an output connected to a global dot line. A sleep input is applied to SRAM sleep logic and a write driver including sleep control. Data true and data complement outputs of the write driver are forced to a respective selected level to discharge the bit lines and global dot lines when the sleep input transitions high. Discharging the bit lines and global dot lines is implemented through gating in the write driver without requiring any additional devices in the local evaluation circuit.

A design structure for a three-dimensional memory circuit provides reduction in memory cell instability due to half-select operation by reduction of the number of memory cells sharing a sense amplifier and, potentially, avoidance of half-select operation by placing some or all peripheral circuits including local evaluation circuits functioning as a type of sense amplifier on an additional chips or chips overlying the memory array. Freedom of placement of such peripheral circuits is provided with minimal increase in connection length since word line decoders may be placed is general registration with ant location along the word lines while local evaluation circuits and / or sense amplifiers can be placed at any location generally in registration with the bit line(s) to which they correspond.

The invention discloses a deformation method based on control meshes. The method calculates the deformation result corresponding to a target object through an improved areal coordinate interpolation technique according to the deformation of the control meshes. The invention is capable of generating visually smooth interpolation result through extremely sparse control meshes, regenerating the position of a control vertex, and performing local evaluation, and is suitable for realizing high-performance calculation using a graphic display card.

A method and static random access memory (SRAM) circuit for implementing low power data predicting local evaluation for double pumped arrays, and a design structure on which the subject circuit reside are provided. A novel variation of a domino read local evaluation circuit accurately predicts the write data for the next cycle. The domino read local evaluation circuit uses static write data set up prior to a write enable signal to determine the value of the data that is being written into the array. When the data being written to the array matches the data last read the local bitlines stay in their previous state. When the data being written is opposite of the data last read then the bit lines are precharged to the precharge value.

Provided are a device, a method, and a program which allow learning models to be appropriately evaluated or trained. The evaluation device according to an aspect performs the steps of: (A) obtaining, using checking data, a first execution result based on a first learning model as an exemplar model; (B) obtaining, using the checking data, a second execution result based on a second learning model; (C) determining whether or not the first and second execution results satisfy a logical formula; and (D) comparing, using a Bayesian statistical model checking method, respective behaviors of the first and second learning models with each other on the basis of a result of the determination in the step (C).

A method, an apparatus, and a computer program product are provided for flood mode implementation of SRAM cells that employ a continuous bitline local evaluation circuit. Flood mode testing is used to weed out marginal SRAM cells by stressing the SRAM cells. Flood mode is induced by beginning with a normal write operation. After new data values have been forced into the SRAM cells, then the write signal is chopped off. A delay block keeps the wordline signal at the high supply, and the SRAM cells go into flood mode. At this juncture marginal cells can be easily detected and later mapped to redundant cells.

When it is determined that a head light is turned on, the sunset time is calculated. Thus, the frequency of calculating the sunset time is significantly decreased as compared with that of continuously calculating the sunset time, thereby reducing the processing load. Further, as compared with the case where the sunset time is calculated regardless of the time of lighting on, the calculated sunset time can evaluate the time of lighting on appropriately.

A three-dimensional memory circuit provides reduction in memory cell instability due to half-select operation by reduction of the number of memory cells sharing a sense amplifier and, potentially, avoidance of half-select operation by placing some or all peripheral circuits including local evaluation circuits functioning as a type of sense amplifier on an additional chips or chips overlying the memory array. Freedom of placement of such peripheral circuits is provided with minimal increase in connection length since word line decoders may be placed is general registration with ant location along the word lines while local evaluation circuits and / or sense amplifiers can be placed at any location generally in registration with the bit line(s) to which they correspond.

The invention discloses a focus detection model training method based on a generative adversarial network, a device, equipment and a readable storage medium. According to the method, two ideas are adopted to reduce the requirements of the generative adversarial network for data: on one hand, a normal image, a focus and a focus mask are synthesized into three-channel image data to serve as the input of the network, and the three channels respectively contain different prior information, so that the difficulty of image generation is reduced; and on the other hand, a local evaluation mode is adopted in the evaluator of the generative adversarial network, and the requirement on the depth of the network is reduced in the mode, so that the requirement on the sample size is also reduced. Finally,the method achieves the purpose of completing the training of the generative adversarial network by using the small sample, thereby effectively expanding the training sample of the focus detection model, and facilitating the improvement of the detection performance of the focus detection model.

A monitoring device for a patient for predicting a cardiovascular anomaly and a method for operating a monitoring device is provided. Furthermore, an implantable electrotherapy device, such as an implantable cardiac pacemaker, an implantable cardioverter, or an implantable defibrillator, having a monitoring device are also provided. In an embodiment, the monitoring device acquires a value change of a hemodynamic parameter, which occurs as a result of a detected value change of a state parameter, for example, as a result of an activation or deactivation of a cardiac resynchronization therapy. By suitable evaluation of the value change of the hemodynamic parameter, the monitoring device can output an evaluation result signal which is indicative of an imminence of a cardiovascular anomaly, such as a cardiac decompensation, long beforehand and with high specificity.

The invention discloses a method for evaluating the white blood cell image definition. The method comprises: acquiring an input original white blood cell image and converting the original white bloodcell image into a grayscale image; dividing the grayscale image into image blocks, and randomly extracting the to-be-analyzed image block; performing denoising on the extracted image block to obtain anoise reduction image; performing cell region segmentation of the noise reduction image by using the OTSU method to obtain an optimal segmentation threshold; performing low-pass filtering on the noise reduction image to acquire a degraded image; acquiring TenenGrad parameters of the noise reduction image and the degraded image corresponding to the noise reduction image, and calculating the definition of the image block, wherein the optimal segmentation threshold is used as a customization image threshold of a TenenGrad function; and calculating the mean of the definitions of all extracted image blocks, and analyzing samples to obtain a virtual focus degree threshold. The present invention achieves local evaluation of the image definition while evaluating the overall definition of the image by analyzing definition parameters at different positions of the image.

The invention discloses a TEE-based operating system application integrity measurement method and system, the method comprises the execution process under system initial deployment, an integrity measurement scene, a local evaluation scene and a remote authentication scene, and the system initial deployment comprises the following steps: a TEE operating system generates a unique HMAC key for equipment; the REE operating system generates a file hash value for a file needing to be protected to serve as an integrity measurement reference value; the REE operating system calls the TEE operating system to encrypt or sign the integrity measurement reference value by using the HMAC key; and the REE operating system stores the encrypted or signed integrity measurement reference value in the IMA extension attribute of the file. Based on the TrustZone technology, integrity measurement of the operating system can be achieved, and the method has the advantages of being comprehensive in protection, high in verification level, safe, reliable, good in universality and high in expansibility.

There is provided a cell image evaluation device, method, and program to appropriately evaluate the state of a stem cell colony according to different changes in form of respective local regions of the cell colony. There are included a low magnification image acquisition unit 20 that acquires a cell image by imaging cells; a cell evaluation unit 23 that evaluates the cell image; and a local region information acquisition unit 21 that acquires the specific information of a local region in a colony region of the cells in the cell image. The cell evaluation unit 23 determines, for each local region in the colony region, an evaluation method for a cell image in the local region based on the specific information of the local region, and evaluates the cell image of the local region using the determined evaluation method.

Novel evaluation indexes are introduced to allow both a total evaluation of data recording and an evaluation of individual detection patterns. A data recording evaluation method includes a step of reproducing a result of data recording performed on an optical disk and identifying a predetermined detection pattern in a reproduction signal, a step of detecting a signal state of the reproduction signal associated with the predetermined detection pattern, and a first calculation step for calculating a first evaluation index value based on the detected signal state and a reference state identified from the predetermined detection pattern. When there is a plurality of predetermined detection patterns as described above, a second calculation step is further provided for calculating a second recording state evaluation index value using the first evaluation index value calculated from each of the predetermined detection patterns. Data recording can be properly evaluated using the first and second recording state evaluation index values.

The present invention provides a fluorescent label that can be used for carrying out a biological substance detection method for specifically detecting a biological substance from a pathological specimen, by which method, when immunostaining using a fluorescent label and staining for morphological observation using a staining agent for morphological observation are simultaneously performed, the results of fluorescence observation and immunostaining can be assessed properly even if the fluorescent label and / or the staining agent is / are deteriorated by irradiation with an excitation light. The fluorescent label is a fluorescent dye-containing nanoparticle in which the parent material is a cross-linked polymer and the fluorescent dye is an aromatic ring-based dye molecule. The cross-linked polymer is suitably a melamine resin or a styrene resin. The aromatic ring-based dye molecule is suitably a perylene and more suitably a perylene diimide. The dye molecule can have a polar group such as sulfonic acid group or its acid halide.

A method and circuit for implementing an enhanced dual-mode static random access memory (SRAM) performance screen ring oscillator (PSRO), and a design structure on which the subject circuit resides are provided. The dual-mode SRAM PSRO includes a plurality of SRAM base blocks connected together in a chain. Each of the plurality of SRAM base blocks includes an eight-transistor (8T) SRAM cell, a local evaluation circuit and a logic function coupled to the SRAM cell. The eight-transistor (8T) static random access memory (SRAM) cell is an unmodified 8T SRAM cell. The dual-mode SRAM PSRO includes one mode of operation, where the output frequency is determined by write-through performance of the 8T SRAM cell; and another mode of operation, where the output frequency is determined by read performance of the 8T SRAM cell.