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公开(公告)号:US20190228564A1
公开(公告)日:2019-07-25
申请号:US16336918
申请日:2017-03-09
Inventor: Tieniu TAN , Jing DONG , Wei WANG , Bo PENG
Abstract: An image tampering forensics method includes labeling an observation clue of a to-be-detected image, constructing a three-dimensional morphable model of an object of a category to which the target object belongs, estimating a three-dimensional normal vector to the supporting plane according to the observation clue, estimating a three-dimensional attitude of the target object according to the observation clue and the three-dimensional morphable model to obtain a plane normal vector to a plane where a side of target object in contact with the supporting plane is located, computing a parallelism between the target object and the supporting plane, and/or among a plurality of target objects, and judging whether the to-be-detected image is a tampered image or not according to the parallelism.
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公开(公告)号:US10262724B2
公开(公告)日:2019-04-16
申请号:US15551024
申请日:2015-03-27
Inventor: Li Liu , Jingqiu Wang , Liang Chen
IPC: G11C11/419 , G06F3/06 , H01L27/11 , G11C11/412 , G11C29/00
Abstract: A memory cell of a static random access memory based on DICE structure, which includes a redundant information latch circuit and a redundant bit selection circuit. The redundant information latch circuit is formed by four MOS transistors and includes four data storage nodes, the redundant bit selection circuit is formed by four MOS transistors M0, M1, M2 and M3, with their drains connected to the four data storage nodes X0, X1, X2 and X3. Sources of M0 and M2 are connected to each other and are connected to a bit line BL, sources of M1 and M3 are connected to each other and are connected to a bit line BLB; and gates of the four MOS transistors are connected to each other and are connected to a word line WL.
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93.
公开(公告)号:US20190026897A1
公开(公告)日:2019-01-24
申请号:US16070882
申请日:2016-11-07
Inventor: Yihong WU , Xiaomei ZHAO
CPC classification number: G06T7/11 , G06T5/009 , G06T5/40 , G06T7/136 , G06T7/143 , G06T11/005 , G06T2207/10088 , G06T2207/20024 , G06T2207/20081 , G06T2207/30016 , G06T2207/30096
Abstract: A method for automatic segmentation of brain tumors merging full convolution neural networks with conditional random fields. The present application intends to address the issue that presently the technology of deep learning is unable to ensure the continuity of the segmentation result in shape and in space when segmenting brain tumors. For this purpose, the present application includes the following steps: step 1, processing a magnetic resonance image comprising brain tumors by utilizing a method for non-uniformity bias correction and brightness regularization, to generate a second magnetic resonance image; step 2, performing brain tumor segmentation for said second magnetic resonance image by utilizing a neural network merging a full convolutional neural network with a conditional random field, and outputting a result of brain tumor segmentation. The present method may execute brain tumor segmentation end-to-end and slice by slice during testing, which has relatively high computation efficiency.
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公开(公告)号:US20190012520A1
公开(公告)日:2019-01-10
申请号:US16066879
申请日:2016-11-07
Inventor: Guoqing LI , Hongtu MA , Hua HAN , Lixin WEI
CPC classification number: G06K9/00134 , G06K9/0014 , G06K9/00147 , G06K9/6206 , G06K9/6211 , G06K9/6257 , G06K9/6262 , G06K9/6269 , G06K9/6857
Abstract: A method for microscopic image acquisition based on a sequential slice. The method includes; acquiring a sample of the sequential slice and a navigation image thereof; identifying and labeling the sample of the sequential slice in the navigation image by utilizing methods of image processing and machine learning; placing the sample of the sequential slice in a microscope, establishing a coordinate transformation matrix for a navigation image-microscope actual sampling space coordinate, and navigating and locating a random pixel point in the navigation image to a center of the microscope's visual field; locating the sample of the sequential slice under a low resolution visual field, binding a sample acquisition parameter; based on the binding of the sample acquisition parameter, recording a relationship of relative of locations between a center point of a high resolution acquisition region and a center point after being matched with a sample template.
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95.
公开(公告)号:US20180288084A1
公开(公告)日:2018-10-04
申请号:US15572643
申请日:2017-04-17
Inventor: Wenli SHANG , Jianming ZHAO , Ming WAN , Xianda LIU , Long YIN , Peng ZENG , Haibin YU
Abstract: The present application discloses a method for automatically establishing an intrusion detection model based on an industrial control network, including: judging whether a first intrusion detection model meets preset detection requirements, and extracting communication behavior traffic data in real time if not; setting a training data set and a test date set according to the communication behavior traffic data; establishing an initial intrusion detection model according to the training data set; and testing the initial intrusion detection model using the test date set, and establishing a second intrusion detection model meeting the preset detection requirements according to the test result. The second intrusion detection model has high detection accuracy, thereby increasing intrusion detection rate of abnormal behavior and reducing false positive rate and false negative rate.
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96.
公开(公告)号:US20180166125A1
公开(公告)日:2018-06-14
申请号:US15551008
申请日:2015-03-27
Inventor: Jingqiu Wang , Liang Chen , Li LIU
IPC: G11C11/417 , G11C11/412 , H01L27/11
CPC classification number: G11C11/417 , G11C11/4125 , H01L27/1104
Abstract: The present invention provides a memory cell of static random access memory based on resistance-capacitance reinforcement, which comprises a latch circuit and a bit selection circuit, the latch circuit consists of two PMOS transistors P1 and P2, two NMOS transistors N1 and N2, a first resistance-capacitance network and a second resistance-capacitance network; the bit selection circuit consists of NMOS transistors N5 and N6; the latch circuit forms four storage nodes X1, X1B, X2, X2B, among which a coupling capacitor C is provided between a pair of complementary data storage nodes. Compared to the conventional memory cell of 6T structure, a resistance-capacitance network and a coupling capacitor are added, so that without changing the original read operation circuit and without obviously increasing complexity, the memory cell is prevented from having single event upset merely at a cost of increasing a small amount of area, thus ensuring correctness of data.
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公开(公告)号:US09996764B2
公开(公告)日:2018-06-12
申请号:US15306983
申请日:2014-04-29
Inventor: Jian Cheng , Cong Leng , Jiaxiang Wu , Hanqing Lu
CPC classification number: G06K9/4633 , G06F17/30256 , G06F17/30268 , G06F17/30271 , G06K9/4671 , G06K9/6215
Abstract: An image matching method based on cascaded binary encoding includes using a hashing look-up with multiple hashing tables to coarsely filter candidate key-points in an image to produce a candidate subset of key-points, projecting the candidate subset into a high-dimensional Hamming space, and building a “Hamming distance-memory address” hashing table. An optimal matching key-point is discovered by querying the hashing table. The image matching method has high processing speed and matching quality, which can be used for efficient and accurate image matching.
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公开(公告)号:US09966932B2
公开(公告)日:2018-05-08
申请号:US14785359
申请日:2013-04-19
Inventor: Donglin Wang , Leizu Yin , Yongyong Yang , Shaolin Xie , Tao Wang
CPC classification number: H03H17/0223 , H03H2017/0245 , H03H2218/10
Abstract: An apparatus for parallel filtering, including a multi-granularity memory, a data cache device, a coefficient buffer broadcast device, a vector operation device and a command queue device. The multi-granularity memory is configured to store data to be filtered, filter coefficients and filtering result data. The data cache device is configured to cache, read and update the data to be filtered. The coefficient buffer broadcast device is configured to cache and broadcast the read filter coefficients. The command queue device is configured to store and output a queue of operation commands for the parallel filtering operation. The vector operation device is configured to perform a vector operation based on the data to be filtered and the output coefficient data, and write an operation result into the multi-granularity filtering result storage unit. A method is also provided. The apparatus and method have a fast filtering speed, a smaller number of accesses, an improved usage efficiency, a reduced power consumption and a wide application scope.
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公开(公告)号:US09886775B2
公开(公告)日:2018-02-06
申请号:US15306980
申请日:2014-04-28
Inventor: Zhiqiang Cao , Xilong Liu , Chao Zhou , Min Tan , Kun Ai
CPC classification number: G06T7/60 , G06T7/70 , G06T2207/10004 , G06T2207/20021 , G06T2207/20084 , G06T2207/30244 , G06T2207/30252
Abstract: The disclosure relates to a method for detection of the horizontal and gravity directions of an image, the method comprising: selecting equidistant sampling points in an image at an interval of the radius of the sampling circle of an attention focus detector; placing the center of the sampling circle of the attention focus detector on each of the sampling points, and using the attention focus detector to acquire attention focus coordinates and the corresponding significant orientation angle, and all the attention focus coordinates and the corresponding significant orientation angles constitute a set Ωp; using an orientation perceptron to determine a local orientation angle and a weight at the attention focus according to the gray image information, and generating a local orientation function; obtaining a sum of each of the local orientation functions as an image direction function; obtaining a function MCGCS(β), and further obtaining the horizontal and gravity identification angles.
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100.
公开(公告)号:US20170329314A1
公开(公告)日:2017-11-16
申请号:US15527208
申请日:2014-12-30
Inventor: Wenli SHANG , Jianming ZHAO , Ming WAN , Peng ZENG , Haibin YU
IPC: G05B19/418 , H04L12/40
CPC classification number: G05B19/4185 , H04L12/40 , H04L12/40039 , H04L29/06 , H04L63/1425 , H04L2012/40228
Abstract: Proposed is an anomaly detection method for communication behaviours in an industrial control system based on an OCSVM algorithm. According to the present invention, a normal behaviour profile model and an abnormal behaviour profile model, i.e. a dual-outline model, of communication behaviours in an industrial control system are established, parameter optimization is performed by means of a particle swarm optimization (PSO) algorithm, an optimal intrusion detection model is obtained, and abnormal Modbus TCP communication traffic is identified. According to the present invention, the false alarm rate is reduced by means of cooperative discrimination of the dual-outline detection model, the efficiency and reliability of anomaly detection are improved, and the method is more applicable to practical applications.
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