Intel Corporation

Baoshan Iron & Steel Co., Ltd.

Junjie Huang

Anbang Yao

Feng Chen

Xiaoming Chen

Li Ping Wang

Yang Liu

Shandong Wang

Ming Lu

Thanunathan Rangarajan

Yong Zhong

Xiaoming He

Yikai Wang

Shen Zhou

Weijun Feng

Zhiming Wang

Zhijie Sheng

Yuanke Luo

Tao Lv

Zhiqiao Zheng

Yanglin Ke

Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Adaptive deformable kernel prediction network for image de-noising

Embodiments of self-locating computing devices, systems, and methods are described. In some embodiments, a computing device may include a Wireless Credential Exchange Module (WCEM) to detect one or more location tags and a management engine, coupled to the WCEM, to retrieve information of the one or more location tags from the WCEM, and to provide an asset management server with an identifier of the computing device and the information of the one or more location tags or location information of the computing device. Other embodiments may be described and/or claimed.

Self-locating computing devices, systems, and methods

The present invention discloses a superstrength cold rolled weathering steel sheet, wherein the weight percentage of the chemical elements thereof are as follows: C: 0.05&#x2dc;0.16%; Mn: 1.00&#x2dc;2.20%; Al: 0.02&#x2dc;0.06%; Cu: 0.20&#x2dc;0.40%; Cr: 0.40&#x2dc;0.60%; Ti: 0.015&#x2dc;0.035%; P: less than 0.03%; and C+Mn/16 is more than 0.19% and less than 0.23%; the remainders thereof being Fe and other unavoidable impurities. The present invention also discloses a method of manufacturing said superstrength cold rolled weathering steel sheet, comprising the following stages: smelting, heating and preservation, hot rolling, coiling, pickling, cold rolling, continuous annealing and skin passing. The advantages of the superstrength cold rolled weathering steel sheet and the method of manufacturing the same are: high strength, i.e., the yield strength more than 700 MPa and the tensile strength more than 1000 MPa; excellent performance of atmosphere corrosion resistance; thin so as to meet the demand of reducing the thickness and weight thereof; good shape and surface quality.

Superstrength cold-rolled weathering steel sheet and method of manufacturing same

Growing community of inventors

Shanghai, China

Junjie Huang