Konica Minolta Laboratory U.S.A., Inc.

United States of America

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G06N 3/02 - Neural networks 5
G01N 21/64 - Fluorescence; Phosphorescence 3
G06N 3/06 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons 3
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons 2
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof 2
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Found results for  patents

1.

3D IMAGING BY MULTIPLE SENSORS DURING 3D PRINTING

      
Application Number US2018022982
Publication Number 2018/183003
Status In Force
Filing Date 2018-03-16
Publication Date 2018-10-04
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Amano, Jun

Abstract

A method for 3D printing an object, based on a 3D printable model of the object, includes scanning, by a first LiDAR sensor of a plurality of LiDAR sensors, a portion of the object while the object is being printed by a printer head. The method also includes generating an image of at least the portion of the object based on scanning the portion, generating a comparison by comparing the image with the 3D printable model, and sending a feedback signal that adjusts the printer head based on the comparison.

IPC Classes  ?

  • G01S 17/88 - Lidar systems, specially adapted for specific applications
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
  • B29C 64/00 - Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
  • B29C 64/20 - Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering - Details thereof or accessories therefor
  • B29C 64/268 - Arrangements for irradiation using electron beams [EB]
  • B33Y 30/00 - ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING - Details thereof or accessories therefor
  • B33Y 40/00 - Auxiliary operations or equipment, e.g. for material handling
  • G06T 7/50 - Depth or shape recovery
  • G06T 7/70 - Determining position or orientation of objects or cameras

2.

METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION

      
Application Number US2017053624
Publication Number 2018/125338
Status In Force
Filing Date 2017-09-27
Publication Date 2018-07-05
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Ming, Wei
  • Zhan, Xiaonong
  • Akahori, Taisuke

Abstract

A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • A61B 5/103 - Measuring devices for testing the shape, pattern, size or movement of the body or parts thereof, for diagnostic purposes
  • A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G06T 7/00 - Image analysis
  • G06T 7/40 - Analysis of texture
  • G06T 7/50 - Depth or shape recovery
  • G06T 7/60 - Analysis of geometric attributes

3.

GLAND SEGMENTATION WITH DEEPLY-SUPERVISED MULTI-LEVEL DECONVOLUTION NETWORKS

      
Application Number US2017066227
Publication Number 2018/125580
Status In Force
Filing Date 2017-12-13
Publication Date 2018-07-05
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Zhu, Jingwen
  • Zhang, Yongmian

Abstract

Pathological analysis needs instance-level labeling on a histologic image with high accurate boundaries required. To this end, embodiments of the present invention provide a deep model that employs the DeepLab basis and the multi-layer deconvolution network basis in a unified model. The model is a deeply supervised network that allows to represent multi-scale and multi-level features. It achieved segmentation on the benchmark dataset at a level of accuracy which is significantly beyond all top ranking methods in the 2015 MICCAI Gland Segmentation Challenge. Moreover, the overall performance of the model surpasses the state-of-the-art Deep Multi-channel Neural Networks published most recently, and the model is structurally much simpler, more computational efficient and weight-lighted to learn.

IPC Classes  ?

  • G06N 3/02 - Neural networks
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/06 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
  • G06N 3/08 - Learning methods
  • A61K 35/22 - Urine; Urinary tract, e.g. kidney or bladder; Intraglomerular mesangial cells; Renal mesenchymal cells; Adrenal gland

4.

SYSTEM AND METHOD OF USING MULTI-FRAME IMAGE FEATURES FOR OBJECT DETECTION

      
Application Number US2017058735
Publication Number 2018/089210
Status In Force
Filing Date 2017-10-27
Publication Date 2018-05-17
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Courtney, Logan
  • Gu, Haisong

Abstract

A method, a system, and a computer readable recording medium are disclosed for performing object recognition. The method includes receiving image data from an image; performing a multilayer feature extraction on the image data; generating current feature maps from the multilayer feature extraction; generating a region of proposal network map from at least the current feature maps, the region of proposal network map having one or more regions of interest; inputting previously generated feature maps and the current feature maps into a classifier with the region of proposed network map; and classifying the one or more regions of interest in the region of proposal network map.

IPC Classes  ?

  • G06F 17/18 - Complex mathematical operations for evaluating statistical data
  • G06F 17/30 - Information retrieval; Database structures therefor
  • G06F 17/10 - Complex mathematical operations
  • G06F 19/24 - for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
  • G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/02 - Neural networks
  • G06N 3/06 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons

5.

METHOD AND SYSTEM FOR IMAGE SEGMENTATION USING CONTROLLED FEEDBACK

      
Application Number US2017058726
Publication Number 2018/081537
Status In Force
Filing Date 2017-10-27
Publication Date 2018-05-03
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Mehta, Sachin
  • Gu, Haisong

Abstract

A method, a computer readable recording medium, and a system are disclosed for image segmentation using controlled feedback in a neural network. The method includes extracting image data from an image; performing one or more semantic segmentations on the extracted image data; introducing one or more classifiers to each of the one or more semantic segmentations, each of the one or more classifiers assigning a probability to one or more classes of objects within the image; and generating a segmentation mask from the one or more semantic segmentations.

IPC Classes  ?

  • G06K 9/34 - Segmentation of touching or overlapping patterns in the image field
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/02 - Neural networks
  • G06N 3/06 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons

6.

METHOD AND SYSTEM FOR MULTI-SCALE CELL IMAGE SEGMENTATION USING MULTIPLE PARALLEL CONVOLUTIONAL NEURAL NETWORKS

      
Application Number US2017046151
Publication Number 2018/052586
Status In Force
Filing Date 2017-08-09
Publication Date 2018-03-22
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Zhu, Jingwen
  • Zhang, Yongmian

Abstract

An artificial neural network system for image classification, formed of multiple independent individual convolutional neural networks (CNNs), each CNN being configured to process an input image patch to calculate a classification for the center pixel of the patch. The multiple CNNs have different receptive field of views for processing image patches of different sizes centered at the same pixel. A final classification for the center pixel is calculated by combining the classification results from the multiple CNNs. An image patch generator is provided to generate the multiple input image patches of different sizes by cropping them from the original input image. The multiple CNNs have similar configurations, and when training the artificial neural network system, one CNN is trained first, and the learned parameters are transferred to another CNN as initial parameters and the other CNN is further trained. The classification includes three classes, namely background, foreground, and edge.

IPC Classes  ?

7.

METHOD AND SYSTEM FOR CELL IMAGE SEGMENTATION USING MULTI-STAGE CONVOLUTIONAL NEURAL NETWORKS

      
Application Number US2017046173
Publication Number 2018/052587
Status In Force
Filing Date 2017-08-09
Publication Date 2018-03-22
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Zhang, Yongmian
  • Zhu, Jingwen

Abstract

An artificial neural network system for image classification, including multiple independent individual convolutional neural networks (CNNs) connected in multiple stages, each CNN configured to process an input image to calculate a pixelwise classification. The output of an earlier stage CNN, which is a class score image having identical height and width as its input image and a depth of N representing the probabilities of each pixel of the input image belonging to each of N classes, is input into the next stage CNN as input image. When training the network system, the first stage CNN is trained using first training images and corresponding label data; then second training images are forward propagated by the trained first stage CNN to generate corresponding class score images, which are used along with label data corresponding to the second training images to train the second stage CNN.

IPC Classes  ?

8.

METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH SELF COLOR COMPENSATION

      
Application Number US2017032173
Publication Number 2018/044364
Status In Force
Filing Date 2017-05-11
Publication Date 2018-03-08
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Ming, Wei

Abstract

A wound image capture method that uses self color compensation to improve color consistency of the captured image and reliability of color-based wound detection. The method uses the skin tone of parts of the patient's own body for color calibration and compensation. In a data registration process, multiple parts of a new patient's body are imaged as baseline images and color data of the baseline images are registered in the system as reference color data. During subsequent wound image capture and wound assessment process, the same parts of the patient's body are imaged again as baseline images, and the wound and its surrounding areas are also imaged. Color data of the newly capture baseline images are compared to the registered reference color data and used to perform color compensation for the wound image.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 11/60 - Editing figures and text; Combining figures or text
  • G06T 15/00 - 3D [Three Dimensional] image rendering

9.

QUANTIFYING GAS LEAK RATES USING FRAME IMAGES ACQUIRED BY A CAMERA

      
Application Number US2017038501
Publication Number 2018/044378
Status In Force
Filing Date 2017-06-21
Publication Date 2018-03-08
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Wang, Leiming

Abstract

A method of quantifying gas leak rate includes receiving image frames acquired with a camera and including a plume from a gas leak source, determining a real-world size that each pixel represents, identifying pixels corresponding to the plume in a first image frame, calculating gas concentration path lengths of the plume for the pixels in the first image frame, calculating, based on the first image frame and a second image frame, an image velocity field of the plume including displacement vectors for the pixels, identifying, within the first image, a closed boundary enclosing the gas leak source of the plume, and calculating a first gas leak rate in the first image frame by calculating a volume rate of the plume flowing across the closed boundary based on the image velocity field, the gas concentration path lengths, and a time interval between the first and the second image frames.

IPC Classes  ?

  • G01J 5/52 - Radiation pyrometry, e.g. infrared or optical thermometry using comparison with reference sources, e.g. disappearing-filament pyrometer
  • G01M 3/38 - Investigating fluid tightness of structures by using light
  • G01N 21/3504 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
  • H04N 5/33 - Transforming infrared radiation

10.

METHOD AND SYSTEM FOR CELL ANNOTATION WITH ADAPTIVE INCREMENTAL LEARNING

      
Application Number US2017039378
Publication Number 2018/005413
Status In Force
Filing Date 2017-06-27
Publication Date 2018-01-04
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Zhang, Yongmian
  • Zhu, Jingwen

Abstract

A method, a computer readable medium, and a system for cell annotation are disclosed. The method includes receiving at least one new cell image for cell detection; extracting cell features from the at least one new cell image; comparing the extracted cell features to a matrix of cell features of each class to predict a closest class, wherein the matrix of cell features has been generated from at least initial training data comprising at least one cell image; detecting cell pixels from the extracted cell features of the at least one new cell image using the predicted closest class to generate a likelihood map; extracting individual cells from the at least one cell image by segmenting the individual cells from the likelihood map; performing a machine annotation on the extracted individual cells from the at least one new cell image to identify cells, non-cell pixels, and/or cell boundaries; calculating a confidence level for the machine annotation on the extracted individual cells from the at least one new cell image; and modifying the machine annotation if the confidence level is below a predetermined threshold.

IPC Classes  ?

  • C08F 116/06 - Polyvinyl alcohol
  • C12N 5/07 - Animal cells or tissues
  • G06K 9/38 - Quantising the analogue image signal
  • G06N 99/00 - Subject matter not provided for in other groups of this subclass

11.

METHOD OF FORMING TRANSPARENT CORRELATED METAL ELECTRODE

      
Application Number US2017033830
Publication Number 2017/205285
Status In Force
Filing Date 2017-05-22
Publication Date 2017-11-30
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Amano, Jun

Abstract

A method of fabricating a flexible transparent conductive electrode layer includes depositing a correlated metal film having a thickness between 10nm and 100nm on a flexible transparent substrate, annealing the correlated metal film with the UV pulses, and maintaining a temperature of the flexible transparent substrate below 80°C during the depositing and annealing.

IPC Classes  ?

  • C23C 14/22 - Coating by vacuum evaporation, by sputtering or by ion implantation of the coating forming material characterised by the process of coating
  • C01G 31/02 - Oxides

12.

METHOD AND SYSTEM FOR CAPTURING AN IMAGE FOR WOUND ASSESSMENT

      
Application Number IB2016056352
Publication Number 2017/060888
Status In Force
Filing Date 2016-10-21
Publication Date 2017-04-13
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Ng, Kim Chai
  • Zhan, Xiaonong
  • Ming, Wei

Abstract

A method is disclosed of capturing an image of a wound on a subject for wound assessment. The method includes obtaining an image of a portion of the subject with one or more cameras; displaying the image on a display panel on an imaging device; obtaining a stored condition from a memory; obtaining a present condition; comparing the stored condition and the present condition; displaying a crosshair over the image on the display panel when it is decided that the present condition corresponds to the stored condition on the basis of the comparison; receiving an instruction for capturing; and capturing an image of the wound in response to the received instruction.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons

13.

RAPID AND HIGH-SENSITIVE BACTERIA DETECTION

      
Application Number US2016038440
Publication Number 2016/209777
Status In Force
Filing Date 2016-06-20
Publication Date 2016-12-29
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Yamamoto, Noriaki

Abstract

An improved method and related apparatus for detecting bacteria viability and drug effects using metabolic monitoring. A fluorescent material which is quenched by oxygen is co-localized with the target bacteria, and fluorescence signal is detected at the co-localized places. In some embodiments, the fluorescent material is a fluorescent nanoparticle mixed with the target bacteria in the sample, and co-localization is enhanced using centrifugation, electrophoresis, microflow path modified with antibodies, magnetic force, etc. In some other embodiments, the fluorescent material is a fluorescent film or 3-D matrix immobilized in the bacterial culture chamber, and bacteria in the sample is gathered into localized regions of the bacteria culture chamber where the fluorescent film or 3-D matrix is present by ways of centrifugation, electrophoresis or microflow path. Plasmonic nanoparticles with a metal core and plasmonic film with a metal film may be used as the fluorescent nanoparticles and fluorescent film.

IPC Classes  ?

  • G01N 33/542 - Immunoassay; Biospecific binding assay; Materials therefor with immune complex formed in liquid phase with steric inhibition or signal modification, e.g. fluorescent quenching
  • G01N 21/64 - Fluorescence; Phosphorescence
  • G01N 33/533 - Production of labelled immunochemicals with fluorescent label
  • G01N 33/569 - Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
  • C09K 11/61 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing inorganic luminescent materials containing fluorine, chlorine, bromine, iodine or unspecified halogen elements

14.

SPFS BIOSENSOR BASED ON NUCLEIC ACID LIGAND STRUCTURAL CHANGE

      
Application Number US2015047988
Publication Number 2016/040059
Status In Force
Filing Date 2015-09-01
Publication Date 2016-03-17
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Yamamoto, Noriaki

Abstract

A DNA ligand capable of structural changes upon binding to a target is used as a molecular switch with a SPFS (surface plasmon field-enhanced fluorescence spectroscopy) biosensor to realize one-step SPFS biosensing with rapid turnaround time. The SPFS biosensor has a thin metal film on a prism; when a light of a certain wavelength irradiates on the prism at a certain angle, a strong electrical field is generated at the surface of the metal film. The DNA is immobilized on the metal film surface with its free terminal modified with a fluorescent marker. Without the target, the DNA is folded and the fluorescent marker is located in the region of metal quenching near the metal surface. Upon binding to the target, the DNA is extended and the fluorescent marker is located in the region of enhanced electric field near the metal surface and emits a strong fluorescent signal.

IPC Classes  ?

  • G01N 21/64 - Fluorescence; Phosphorescence
  • G01N 21/77 - Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator

15.

TWO DIMENSIONAL LAYERED MATERIAL QUANTUM WELL JUNCTION DEVICES

      
Application Number US2015042913
Publication Number 2016/032680
Status In Force
Filing Date 2015-07-30
Publication Date 2016-03-03
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Amano, Jun

Abstract

A quantum well device includes a first layer of a first two-dimensional material, a second layer of a second two-dimensional material, and a third layer of a third two-dimensional material disposed between the first layer and second layer. The first layer, the second layer, and the third layer are adhered predominantly by van der Waals force.

IPC Classes  ?

  • H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions

16.

METHOD AND SYSTEM OF TEMPORAL SEGMENTATION FOR GESTURE ANALYSIS

      
Application Number US2015047095
Publication Number 2016/033279
Status In Force
Filing Date 2015-08-27
Publication Date 2016-03-03
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Auge, Quentin
  • Zhang, Yongmian
  • Gu, Haisong

Abstract

A method, system and non-transitory computer readable medium are disclosed for recognizing gestures, the method includes capturing at least one three-dimensional (3D) video stream of data on a subject; extracting a time-series of skeletal data from the at least one 3D video stream of data; isolating a plurality of points of abrupt content change called temporal cuts, the plurality of temporal cuts defining a set of non-overlapping adjacent segments partitioning the time-series of skeletal data; identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration; and classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.

IPC Classes  ?

  • G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer

17.

METHOD AND SYSTEM OF STITCHING AERIAL DATA USING INFORMATION FROM PREVIOUS AERIAL IMAGES

      
Application Number US2015022631
Publication Number 2015/199772
Status In Force
Filing Date 2015-03-26
Publication Date 2015-12-30
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Christ, John Randall
  • Hung, Po-Chieh

Abstract

A method, computer program product, and system of stitching aerial data using information from at least one previous image are disclosed, the method includes: capturing a plurality of images of the landscape and storing the plurality of images with image metadata, the image metadata including at least one or more of the following parameters: latitude and longitude, altitude, pitch angle, roll angle, and yaw angles; generating a set of transformed images based on the image metadata, wherein generating the set of transformed images based on the image metadata comprises: setting a variable for each of the parameters; and calculating quality of fit for each of the plurality of images; normalizing the plurality of captured images using the set of transformed images; and assembling a new aerial image based on the plurality of captured images by fitting the plurality of normalized captured images to a top level image.

IPC Classes  ?

  • G06F 19/26 - for data visualisation, e.g. graphics generation, display of maps or networks or other visual representations
  • G06K 9/36 - Image preprocessing, i.e. processing the image information without deciding about the identity of the image
  • G06T 3/20 - Linear translation of a whole image or part thereof, e.g. panning
  • G06T 7/60 - Analysis of geometric attributes
  • G06K 9/42 - Normalisation of the pattern dimensions

18.

METHOD AND SYSTEM FOR ANALYZING EXAM-TAKING BEHAVIOR AND IMPROVING EXAM-TAKING SKILLS

      
Application Number US2015022681
Publication Number 2015/153266
Status In Force
Filing Date 2015-03-26
Publication Date 2015-10-08
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Ming, Wei
  • Tian, Yibin

Abstract

A method, a computer program product, and a system for analyzing exam-taking behavior and improving exam-taking skills are disclosed, the method includes obtaining a student answering sequence and timing to an examination having a series of questions; comparing the student answering sequence and timing with results from a statistic analysis of the examination obtained from a plurality of students; and identifying an abnormality in the student answering sequence and timing according to the comparison.

IPC Classes  ?

  • G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
  • G09B 7/06 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers

19.

METHOD AND SYSTEM FOR ENHANCING INTERACTIONS BETWEEN TEACHERS AND STUDENTS

      
Application Number US2015022653
Publication Number 2015/153261
Status In Force
Filing Date 2015-03-26
Publication Date 2015-10-08
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Tian, Yibin
  • Ming, Wei

Abstract

A method, computer program product, and a system for enhancing an interaction between a teacher and a student are disclosed, the method includes receiving video images of a region of interest from a plurality of multi-functional devices; comparing the video images of the region of interest received from the plurality of multi-functional devices; detecting differences in the region of interest of at least one multi-functional device in comparison to the region of interest of the plurality of multi-functional devices; and providing a signal to the at least one multi-functional device based on the detected difference in the region of interest.

IPC Classes  ?

  • G09C 5/00 - Ciphering or deciphering apparatus or methods not provided for in other groups of this subclass, e.g. involving the concealment or deformation of graphic data such as designs, written or printed messages
  • G09G 5/00 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators

20.

IMAGE PROCESSING TO RETAIN SMALL COLOR/GRAY DIFFERENCES

      
Application Number US2015016822
Publication Number 2015/127206
Status In Force
Filing Date 2015-02-20
Publication Date 2015-08-27
Owner KONICA MINOLTA LABORATORY U.S.A. INC. (USA)
Inventor Hung, Po-Chieh

Abstract

A method for encoding a monochrome or color image. The method includes receiving an image and adjusting the image based on a global uniform macro-type color space. The image is modified spatially based on a local uniform micro-type edge characteristic that includes a just-noticeable difference (JND), and the image is outputted.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation

21.

METHOD AND SYSTEM OF CALIBRATING A MULTISPECTRAL CAMERA ON AN AERIAL VEHICLE

      
Application Number US2014057102
Publication Number 2015/088618
Status In Force
Filing Date 2014-09-24
Publication Date 2015-06-18
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Christ, Randy
  • Hung, Po-Chieh

Abstract

A method and system of calibrating multispectral images from a camera on an aerial vehicle, the method including: capturing multispectral images of an area at a plurality of intervals with a multispectral imaging camera; simultaneously or at an arbitrary time capturing sunlight radiance data for each of the captured images; correlating the images with the sunlight radiance data; and calibrating the multispectral images based on the sunlight radiance data to normalize the multispectral images to one or more previous images of the area.

IPC Classes  ?

  • G01C 23/00 - Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration

22.

BROADBAND LIGHT EMITTING DEVICE WITH GRATING-STRUCTURED ELECTRODE

      
Application Number US2014065016
Publication Number 2015/070217
Status In Force
Filing Date 2014-11-11
Publication Date 2015-05-14
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor
  • Wang, Leiming
  • Hung, Po-Chieh

Abstract

A light emitting device includes a substrate layer, a first electrode layer, a light emitting layer, and a patterned second electrode layer. The patterned second electrode layer includes a periodic grating structure having a grating period λg less than or equal to 200 nm and the patterned second electrode layer and the light emitting layer are separated by at most 100 nm.

IPC Classes  ?

  • H01L 33/34 - Materials of the light emitting region containing only elements of group IV of the periodic system
  • H01L 33/60 - Reflective elements

23.

OPTIMIZED POWER SPECTRAL DISTRIBUTION OF LIGHT SOURCE

      
Application Number US2014055501
Publication Number 2015/038962
Status In Force
Filing Date 2014-09-12
Publication Date 2015-03-19
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Hung, Po-Chieh

Abstract

A method for determining a custom power spectral distribution (PSD) for use in a specialized light source and a lighting system. The method includes obtaining a PSD corresponding to light that is output by the lighting system, obtaining a constraint, and determining the custom PSD by optimizing (minimizing or maximizing), subject to the constraint, an evaluation function comprising the PSD, an unwanted light function, a wanted light function, or another characteristic function.

IPC Classes  ?

  • H05B 33/02 - Electroluminescent light sources - Details
  • H05B 33/08 - Circuit arrangements for operating electroluminescent light sources
  • H05B 37/02 - Controlling

24.

FABRICATING HIGHLY DURABLE NANOSTRUCTURED COATINGS ON POLYMER SUBSTRATE

      
Application Number US2014053541
Publication Number 2015/031831
Status In Force
Filing Date 2014-08-29
Publication Date 2015-03-05
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Amano, Jun

Abstract

A method of forming a coating that includes depositing a multicomponent glass layer on a polymer substrate and depositing a heat absorbing layer on the multicomponent glass layer. Inducing spinodal decomposition of the multicomponent glass layer by annealing the heat absorbing layer, and etching at least one of a phase separated component of the multicomponent glass layer. The spinodal decomposition may be achieved through a pulse thermal or electromagnetic assisted annealing process. The coating may then be used as a hydrophilic surface, or may be fluorinated using conventional methods to produce the superhydrophobic coating.

IPC Classes  ?

  • B05D 5/12 - Processes for applying liquids or other fluent materials to surfaces to obtain special surface effects, finishes or structures to obtain a coating with specific electrical properties

25.

APPARATUS AND METHOD FOR RAPID 3D CELL CULTURE ANALYSIS USING PAPER STACKS

      
Application Number US2013076259
Publication Number 2014/105581
Status In Force
Filing Date 2013-12-18
Publication Date 2014-07-03
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Yamamoto, Noriaki

Abstract

In a paper-based 3D cell culture system, improved methods for preparing and handling stacks of paper for cell culture using one of the following configurations: (1) a continuous long sheet of paper zigzag folded into a stack; (2) a continuous long sheet of paper rolled into a roll; (3) multiple individual sheets bound at one edge into a stack; (4) multiple individual sheets adhered to each other at alternating edges using a low-tack adhesive to form a stack; (5) multiple individual sheets interfolded and stacked. Culture zones are formed on the paper by printing a hydrophobic material on the sheet to separate the zones. Zones on multiple layers of the stack are aligned to form a 3D volume. Cells in hydrogel are deposited into the culture zones, and the sheets are stacked into a stack and cultured. Afterwards, the sheets in the stack are separated and analyzed individually.

IPC Classes  ?

  • C40B 30/06 - Methods of screening libraries by measuring effects on living organisms, tissues or cells

26.

NONCONTACT RAPID DEFECT DETECTION OF BARRIER FILMS

      
Application Number US2013062038
Publication Number 2014/052668
Status In Force
Filing Date 2013-09-26
Publication Date 2014-04-03
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Amano, Jun

Abstract

A method of detecting a defect in a barrier film. The method includes: coating the barrier film with a solution having a plurality of probes, where each of the probes has a nanoparticle; forcing a probe of the plurality of probes to penetrate the defect by applying a field to the barrier film, where the field induces an attractive power to the nanoparticles of the probes; applying an optical excitation (OE) to the barrier film; and identifying the defect in the barrier film based on an optical signal emitted, in response to the OE, by the probe forced to penetrate the defect.

IPC Classes  ?

27.

NANOHOLE SENSOR CHIP WITH REFERENCE SECTIONS

      
Application Number US2012066397
Publication Number 2013/089996
Status In Force
Filing Date 2012-11-21
Publication Date 2013-06-20
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Yamamoto, Noriaki

Abstract

A device and method for detecting and assessing the quantity of a biological, biochemical, or chemical analyte in a test sample using a simple light source and the naked eye are disclosed. In one embodiment, the device comprises a nanohole sensor chip with two sections, the first of which is a test section, upon which capture agents for a particular analyte are immobilized, and the second of which is a reference section, upon which capture agents conjugated with known quantities of the analyte are immobilized. In another embodiment of the invention, a nanohole sensor chip with a test section and a plurality of reference sections is disclosed. The sensor utilizes light intensity changes exhibited by Fano resonances in the nanoholes for detection of analytes, and allows comparison between the light intensity changes between the reference sections and the test sections for assessing the quantity of the analyte in the sample.

IPC Classes  ?

  • G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups ; Handling materials therefor

28.

COATING LIQUID FOR PHOTOVOLTAIC DEVICE AND METHOD FOR USING THE SAME

      
Application Number US2012067068
Publication Number 2013/082287
Status In Force
Filing Date 2012-11-29
Publication Date 2013-06-06
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Ando, Hiroaki

Abstract

A photovoltaic device and a method of making a photovoltaic device that includes a stack of layers, including a substrate and an electrode layer. The photovoltaic device includes a semiconductor light absorption layer that is formed on the stack by a coating liquid that includes a plurality of semiconducting particles. The coating liquid may also include a solvent and a plurality of additive molecules. The photovoltaic device also includes a transparent conducting layer disposed on the semiconductor light absorption layer and a grid electrode disposed on the transparent conducting layer.

IPC Classes  ?

  • H01L 31/00 - SEMICONDUCTOR DEVICES NOT COVERED BY CLASS - Details thereof

29.

ADAPTIVE LIGHTING SYSTEM WITH LOW ENERGY CONSUMPTION

      
Application Number US2011030628
Publication Number 2012/134467
Status In Force
Filing Date 2011-03-31
Publication Date 2012-10-04
Owner KONICA MINOLTA LABORATORY U.S.A., INC. (USA)
Inventor Hung, Po-Chieh

Abstract

A method for designing a lighting system, including: obtaining a selection of a color temperature (CT); obtaining, for the CT, a first spectral power distribution (SPD) corresponding to a low value color rendering index (CRI) and having a first plurality of peak wavelengths; obtaining, for the CT, a second SPD corresponding to a high value CRI and having a second plurality of peak wavelengths; and identifying a plurality of common peak wavelengths shared by the first SPD and the second SPD, where the lighting system includes a first plurality of light sources corresponding to the plurality of common peak wavelengths and a second plurality of light sources corresponding to a plurality of remaining peak wavelengths of the second plurality of peak wavelengths, and where the lighting system activates the second plurality of light sources in response to an event.

IPC Classes  ?

  • H05B 37/00 - Circuit arrangements for electric light sources in general