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1:
[发明]
【中文】一种废弃含能材料的处理方法 【EN】Treatment method of waste energetic material
申请号:
201911320588.8
公开号:CN111112289A 主分类号:B09B3/00
申请人:
【中文】西安交通大学【EN】XI'AN JIAOTONG University
申请日:2019.12.19 公开日:2020.05.08
发明人:
【中文】高宁博
;
段一航
;
全翠【EN】Gao Ningbo
;
Duan Yihang
;
Quan Cui
摘要:【中文】本发明公开了一种废弃含能材料的处理方法,包括:预处理阶段、共热解反应阶段、热解固体产物处理阶段和热解气态产物处理阶段;其中,预处理阶段包括含能材料的切剥研磨、可控清洗和混合制粒三个过程;共热解反应阶段包括共热解反应过程;热解固体产物处理阶段包括水洗分离过程,此阶段的主要产物为活性焦炭和铝;热解气态产物处理阶段主要包括催化重整、冷却分离和水洗提质过程,此阶段的产物为高品质的热解油和热解气。本发明的方法工艺简单,处理效果好,能够回收废弃含能材料中能量。 【EN】The invention discloses a method for treating waste energetic materials, which comprises the following steps: a pretreatment stage, a co-pyrolysis reaction stage, a pyrolysis solid product treatment stage and a pyrolysis gaseous product treatment stage; wherein, the pretreatment stage comprises three processes of cutting and grinding, controllable cleaning and mixing granulation of energetic materials; the co-pyrolysis reaction stage comprises a co-pyrolysis reaction process; the pyrolysis solid product treatment stage comprises a water washing separation process, and main products in the stage are active coke and aluminum; the pyrolysis gaseous product treatment stage mainly comprises catalytic reforming, cooling separation and water washing upgrading processes, and the products of the stage are high-quality pyrolysis oil and pyrolysis gas. The method has simple process and good treatment effect, and can recover the energy in the waste energetic materials.
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2:
[发明]
【中文】一种基于人工智能和大数据的医学预诊系统 【EN】Medical pre-diagnosis system based on artificial intelligence and big data
申请号:
202010157445.6
公开号:CN111210904A 主分类号:G16H40/20
申请人:
【中文】河南大学【EN】Henan University
申请日:2020.03.09 公开日:2020.05.29
发明人:
【中文】赵辉
;
刘辉
;
秦啸鸣
;
胡萍
;
高一航【EN】Zhao Hui
;
Liu Hui
;
Qin Xiaoming
;
Hu Ping
;
Gao Yihang
摘要:【中文】本发明公开了一种基于人工智能和大数据的医学预诊系统,包括:大数据资料库、数据处理模块、病人终端和门诊终端,所述病人终端的输出端与所述数据处理模块的输入端相互联结,所述数据处理模块的输出端与所述大数据资料库的输入端相互联结,所述门诊终端的输入端与所述数据处理模块的输出端相互联结,本发明涉及医学诊断系统技术领域。该基于人工智能和大数据的医学预诊系统避免大量需要就诊的病人拥堵在医院的内部,造成医疗的拥堵而不能及时的就诊,病人可以根据排队的人数及时到达医院的内部就诊而不需要在医院进行挂号后再进行医疗,避免在医院花费大量的等待时间排队挂号,节约病人的医疗时间,同时降低医院等待人员的拥堵现象。 【EN】The invention discloses a medical pre-diagnosis system based on artificial intelligence and big data, comprising: the medical diagnosis system comprises a big data database, a data processing module, a patient terminal and an outpatient service terminal, wherein the output end of the patient terminal is mutually connected with the input end of the data processing module, the output end of the data processing module is mutually connected with the input end of the big data database, and the input end of the outpatient service terminal is mutually connected with the output end of the data processing module. This medical science pre-diagnosis system based on artificial intelligence and big data avoids a large amount of patients that need to see a doctor to block up in the inside of hospital, causes the medical jam and can not see a doctor in time, and patient can in time arrive the inside of hospital according to the number of people who queue up and see a doctor and need not carry out the medical treatment after the hospital registers, avoids spending a large amount of waiting time in hospital and queues up the registration, practices thrift patient's medical time, reduces the phenomenon of blocking up of hospital wait personnel simultaneously.
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3:
[发明]
【中文】一种超声图像降噪的各向异性扩散算法 【EN】Anisotropic diffusion algorithm for ultrasonic image noise reduction
申请号:
201811356948.5
公开号:CN111192203A 主分类号:G06T5/00
申请人:
【中文】天津大学青岛海洋技术研究院【EN】TIANJIN UNIVERSITY MARINE TECHNOLOGY Research Institute
申请日:2018.11.15 公开日:2020.05.22
发明人:
【中文】王建荣
;
龚一航
;
于健
;
喻梅
;
于瑞国
;
徐天一
;
赵满坤
;
高洁
;
高晓妮【EN】Wang Jianrong
;
Gong Yihang
;
Yu Jian
;
Yu Mei
;
Yu Ruiguo
;
Xu Tianyi
;
Zhao Mankun
;
Gao Jie
;
Gao Xiaoni
摘要:【中文】一种超声图像降噪的各向异性扩散算法,在MSE(均值方差)、PSNR(峰值信噪比)和边缘保护三个方面的评价都要优于传统的超声图像降噪算法,也同时提高了语音识别的准确率,推动了AVSR项目的发展。 【EN】An anisotropic diffusion algorithm for ultrasonic image noise reduction is superior to a traditional ultrasonic image noise reduction algorithm in evaluation of MSE (mean square error), PSNR (peak signal-to-noise ratio) and edge protection, improves the accuracy of voice recognition and promotes the development of AVSR projects.
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4:
[发明]
【中文】用于抑制准光腔简并高次模的样品台及测试方法和应用 【EN】Sample stage for inhibiting degenerate high-order mode of quasi-optical cavity, and testing method and application thereof
申请号:
201911194800.0
公开号:CN111077377A 主分类号:G01R27/26
申请人:
【中文】电子科技大学【EN】UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY
申请日:2019.11.28 公开日:2020.04.28
发明人:
【中文】龙嘉威
;
余承勇
;
李恩
;
涂一航
;
李亚峰
;
高冲
;
高勇
;
张云鹏
;
郑虎【EN】Long Jiawei
;
Yu Chengyong
;
Li En
;
Tu Yihang
;
Li Yafeng
;
Gao Chong
;
Gao Yong
;
Zhang Yunpeng
;
Zheng Hu
摘要:【中文】本发明提供了一种用于抑制准光腔简并高次模的样品台及其测试方法和应用,包括介质基板,介质基板中心设有圆形金属覆层,金属覆层上刻有微波匹配电路结构,微波匹配电路结构为圆形金属覆层圆心两侧对称设置的两条平行于TEM00q模式电场方向的缝隙,金属覆层厚度大于工作频点电磁波的趋肤深度,介质基板材料的损耗角正切值高于1e‑4,本发明能够在保证不影响TEM00p模的前提下,使TEM00p模附近的非TEM00p模造成不匹配而无法激励出谐振现象,能够将其能量通过高损耗基板将其消耗掉,进而能够将频谱对应TEM00p模出现的双峰改进为对称的单峰,在使用准光腔法测试复介电常数时,TEM00p模对应Q值的测试更为真实,提高准光腔法测待测材料损耗的精度。 【EN】The invention provides a sample stage for inhibiting a degenerate high-order mode of a quasi-optical cavity, a test method and application thereof, wherein the sample stage comprises a dielectric substrate, a circular metal coating is arranged in the center of the dielectric substrate, a microwave matching circuit structure is engraved on the metal coating, the microwave matching circuit structure is two slits which are symmetrically arranged at two sides of the circle center of the circular metal coating and are parallel to the direction of a TEM00q mode electric field, the thickness of the metal coating is larger than the skin depth of working frequency point electromagnetic waves, and the loss angle tangent value of a dielectric substrate material is higher than 1e-4, on the premise of ensuring that a TEM00p mode is not influenced, non-TEM 00p near the TEM00p mode is modeled to be unmatched and cannot excite a resonance phenomenon, the energy of the non-TEM 00p can be consumed by the high-loss substrate, further, a double peak of a frequency spectrum corresponding to the TEM00p mode can be improved into a symmetrical single peak, and when the complex dielectric constant is tested, the test of the corresponding Q value of the TEM00p mode is more real, and the precision of the loss of the material to be tested by the quasi-optical cavity method is improved.
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