Patents Assigned to ZHEJIANG GONGSHANG UNIVERSITY
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Patent number: 11310128Abstract: Service deployment in the conventional network is very complicated. Operator needs to plan the service path in advance, and then manually configure the policy for each node on the service path. The software-definable network service configuration method disclosed in the present invention is different from the conventional network. On the one hand, the control layer has a global network resource view to more easily plan service paths for service requests. On the other hand, the control layer adopts a centralized management of physical switch nodes in the data layer via a southbound interface, which makes it easier to automatically implement policy configuration in physical switch nodes.Type: GrantFiled: May 30, 2017Date of Patent: April 19, 2022Assignee: Zhejiang Gongshang UniversityInventors: Ming Gao, Weiming Wang
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Patent number: 11231980Abstract: The disclosure provides a method, a device and a system for fault detection. The fault detection method includes following steps: acquiring interactive data generated during a working process of a target Internet of Things system, and generating data to be detected based on the interactive data; detecting whether the data to be detected is fault data or not, and performing an emotion analysis on the data to be detected which is judged as the fault data to obtain a corresponding emotion label; and extracting a corresponding fault type from a preset fault emotion mapping table based on the emotion label and outputting the fault type. In this disclosure, the interactive data is analogized to human emotions, and the faults are accurately found through the emotional analysis on the data, thereby achieving the fault detection of the Internet of Things system in a convenient, flexible and accurate manner.Type: GrantFiled: March 9, 2021Date of Patent: January 25, 2022Assignee: Zhejiang Gongshang UniversityInventors: Xiaoning Jiang, Zhendong Yu, Jiahao Yao, Kelei Jiang, Fengqing Zhang, Hongmin Xie, Kai Liu, Jian Fang, Jia'nan Qi, Yuhan Zhou
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Patent number: 10982015Abstract: The present invention provides a PEG-ACS/M-siRNA nanocomposite application, and method for reducing the histamine content during fishmeal storage thereof. A small interfering ribonucleic acid (siRNA) is designed and prepared according to a histidine decarboxylase gene of Morganella morganii (Morganella morganii subsp. morganii KT), and the histidine decarboxylase gene has a sequence of SEQ ID No: 1. A PEG-ACS/M-siRNA nanocomposite is prepared by using a PEGylated arginine-modified chitosan as a carrier. A PEG-ACS/M-siRNA nanocomposite is added to fishmeal in a certain ratio. The method for reducing the histamine content during fishmeal storage has a significant inhibitory effect on the histamine content during fishmeal storage, and can reduce the histamine content in fishmeal by 49%-53%, which has great significance for the control of biogenic amines in fishmeal in the feed industry.Type: GrantFiled: September 18, 2018Date of Patent: April 20, 2021Assignees: ZHEJIANG GONGSHANG UNIVERSITY, RONGCHENG HUATONG MARINE BIOTECHNOLOGY CO. LTD.Inventors: Yanbo Wang, Linglin Fu, Zhongfu Liu, Feifei Wang, Fan Li, Junbo Liang
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Patent number: 10542249Abstract: A stereoscopic video generation method based on 3D convolution neural network is disclosed, which is able to convert existing 2D video sources into stereoscopic videos. The method includes preparing the training data, dividing the training video sources into left eye view sequences and right eye view sequences; and then processing the left eye image sequences through shot segmentation via fuzzy C-means clustering method, calculating a mean image of all left eye images, subtracting the mean image from the left eye images, taking the right eye images as a training target; training the obtained 3D convolution neural network through the training data; processing the 2D video sources which need to be converted into stereoscopic videos in the same way as training set, inputting to the trained 3D convolution neural network to obtain the right eye view image sequences of the 2D videos; and finally combining the two to be stereoscopic videos.Type: GrantFiled: December 29, 2016Date of Patent: January 21, 2020Assignee: ZHEJIANG GONGSHANG UNIVERSITYInventors: Xun Wang, Leqing Zhu, Huiyan Wang
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Patent number: 10540590Abstract: A method for generating spatial-temporal consistency depth map sequences based on convolutional neural networks for 2D-3D conversion of television works includes steps of: 1) collecting a training set, wherein each training sample thereof includes a sequence of continuous RGB images, and a corresponding depth map sequence; 2) processing each image sequence in the training set with spatial-temporal consistency superpixel segmentation, and establishing a spatial similarity matrix and a temporal similarity matrix; 3) establishing the convolution neural network including a single superpixel depth regression network and a spatial-temporal consistency condition random field loss layer; 4) training the convolution neural network; and 5) recovering a depth maps of a RGB image sequence of unknown depth through forward propagation with the trained convolution neural network; which avoids that clue-based depth recovery method is greatly depended on scenario assumptions, and inter-frame discontinuity between depth maps gType: GrantFiled: December 29, 2016Date of Patent: January 21, 2020Assignee: ZHEJIANG GONGSHANG UNIVERSITYInventors: Xun Wang, Xuran Zhao
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Publication number: 20200010574Abstract: The present invention provides a PEG-ACS/M-siRNA nanocomposite application, and method for reducing the histamine content during fishmeal storage thereof. A small interfering ribonucleic acid (siRNA) is designed and prepared according to a histidine decarboxylase gene of Morganella morganii (Morganella morganii subsp. morganii KT), and the histidine decarboxylase gene has a sequence of SEQ ID No: 1. A PEG-ACS/M-siRNA nanocomposite is prepared by using a PEGylated arginine-modified chitosan as a carrier. A PEG-ACS/M-siRNA nanocomposite is added to fishmeal in a certain ratio. The method for reducing the histamine content during fishmeal storage has a significant inhibitory effect on the histamine content during fishmeal storage, and can reduce the histamine content in fishmeal by 49%-53%, which has great significance for the control of biogenic amines in fishmeal in the feed industry.Type: ApplicationFiled: September 18, 2018Publication date: January 9, 2020Applicants: Zhejiang Gongshang University, Rongcheng Huatong Marine Biotechnology Co. LTDInventors: Yanbo Wang, Linglin Fu, Zhongfu Liu, Feifei Wang, Fan Li, Junbo Liang
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Patent number: 10353271Abstract: A depth estimation method for a monocular image based on a multi-scale CNN and a continuous CRF is disclosed in this invention. A CRF module is adopted to calculate a unary potential energy according to the output depth map of a DCNN, and the pairwise sparse potential energy according to input RGB images. MAP (maximum a posteriori estimation) algorithm is used to infer the optimized depth map at last. The present invention integrates optimization theories of the multi-scale CNN with that of the continuous CRF. High accuracy and a clear contour are both achieved in the estimated depth map; the depth estimated by the present invention has a high resolution and detailed contour information can be kept for all objects in the scene, which provides better visual effects.Type: GrantFiled: December 14, 2016Date of Patent: July 16, 2019Assignee: ZHEJIANG GONGSHANG UNIVERSITYInventors: Xun Wang, Leqing Zhu, Huiyan Wang
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Patent number: 9599099Abstract: The present invention discloses a device capable of converting thermal energy into kinetic energy, in particular a thermal-powered device, including a housing (1) and a transmission device (2) disposed in the housing (1). Alloy sheets (3) are disposed at the transmission device (2). The housing (1) is formed with a heat source interface (6). In the present invention, thermal energy or other energy in the automobile exhaust gas is converted into kinetic energy output by virtue of the memory function of memory alloys, thus reducing emission of greenhouse gas, protecting the atmosphere environment, and conforming to the strategies and policies of economy of energy, environmental protection, and harmonious development between man and nature.Type: GrantFiled: June 21, 2012Date of Patent: March 21, 2017Assignee: ZHEJIANG GONGSHANG UNIVERSITYInventors: Tongqiang Li, Xiaoning Jiang
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Patent number: 9574553Abstract: The invention relates to a solar-powered apparatus, comprising a housing (1), a shield panel (5) disposed on the housing (1), and a transmission apparatus (2) disposed inside the housing (1). The transmission apparatus (2) is provided with eight or more memory alloy sheets (3). The housing (1) is also provided with a ratchet pawl (13). The shield panel (5) is provided with a light-focusing apparatus (51) used for focusing light. The apparatus is capable of converting solar energy into mechanical energy.Type: GrantFiled: June 21, 2012Date of Patent: February 21, 2017Assignee: ZHEJIANG GONGSHANG UNIVERSITYInventors: Tongqiang Li, Xiaoning Jiang
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Publication number: 20140223900Abstract: The present invention discloses a device capable of converting thermal energy into kinetic energy, in particular a thermal-powered device, including a housing (1) and a transmission device (2) disposed in the housing (1). Alloy sheets (3) are disposed at the transmission device (2). The housing (1) is formed with a heat source interface (6). In the present invention, thermal energy or other energy in the automobile exhaust gas is converted into kinetic energy output by virtue of the memory function of memory alloys, thus reducing emission of greenhouse gas, protecting the atmosphere environment, and conforming to the strategies and policies of economy of energy, environmental protection, and harmonious development between man and nature.Type: ApplicationFiled: June 21, 2012Publication date: August 14, 2014Applicant: ZHEJIANG GONGSHANG UNIVERSITYInventors: Tongqiang Li, Xiaoning Jiang