University of Science and Technology of China

en.ustc.edu.cn
Hefei, China

The University of Science and Technology of China is a national research university in Hefei, Anhui, China, under the direct leadership of the Chinese Academy of science . It is a member of the C9 League formed by nine top universities in China. Founded in Beijing by the CAS in September 1958, it was moved to Hefei in the beginning of 1970 during the Cultural Revolution.The inception and mission of USTC was in response to the urgent need for the national economy, defense construction, and education in science and technology. It has been featured by its competence on scientific and technological research and expanded into humanities and management with a strong scientific and engineering emphasis. USTC has 12 schools, 27 departments, the Special Class for the Gifted Young, the Experimental Class for the Teaching Reform, the Graduate Schools , the Software School, School of Network Education, and School of Continuing Education. In 2012 Institute of Advanced Technology of University of Science and Technology of China was founded. Wikipedia.


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Patent
University of Science and Technology of China | Date: 2016-11-07

A method for removing dust from flue gas using an emulsion liquid membrane, including: a) dissolving a surfactant into a membrane solvent to yield a membrane-forming liquid; stirring and injecting an internal phase liquid into the membrane-forming liquid to yield an emulsion; b) stirring and adding the emulsion to an external phase liquid to disperse the emulsion into the external phase liquid to yield an emulsion liquid membrane; c) allowing the emulsion liquid membrane to contact with a flue gas for removing dust; d) separating a dust-loaded emulsion, and demulsifying the dust-loaded emulsion under an electrostatic field to release the dust from the membrane-forming liquid; recycling the membrane-forming liquid to a); and e) allowing the dust released from the demulsification to precipitate in the form of a slurry and discharging the slurry.


Patent
University of Science and Technology of China | Date: 2014-05-22

The invention provides a positive/negative phase shift bimetallic zone plate and production method thereof, wherein the positive/negative phase shift bimetallic zone plate comprises: a first metallic material having a positive phase shift; a second metallic material having a negative phase shift at a working energy point; wherein the first metallic material and the second metallic material are alternately arranged, so that the second metallic material replaces the blank portion in a cycle of a traditional zone plate.


Patent
Huawei, University of Science and Technology of China | Date: 2016-11-23

A binding registration method, a data forwarding method, a related device, and a network system are disclosed. An SDN controller includes: a first receiving unit, configured to receive a first bearer message that is forwarded by a first MAG in multiple MAGs and that carries a first L2 attach request message; a first sending unit, configured to send, to each of the first MAG and an LMA, a message for establishing a tunnel between the first MAG and the LMA; a second sending unit, configured to send, to each of the first MAG and the LMA, a message for adjusting a flow entry of an MN; a configuration and encapsulation unit, configured to: configure an HNP(s) for the MN, and encapsulate the HNP(s) into an RA message; and a third sending unit, configured to send the RA message to the first MAG.


CrowdReviews Partnered with Madridge Publishers to Announce: International Conference on Materials Science and Research ICMSR-2017 features highly enlightening and interactive sessions to encourage the exchange of ideas across a wide range of disciplines in the field of Materials Science and Research. They invite contributions related to materials science research. You can submit your work in these broad themes. ICMSR-2017 Themes: Materials Science and Engineering Advanced Materials (Biomaterials, Inorganic-Organic Composites, etc.) Materials Chemistry and Physics Discovery and design of new materials Synthesis & Architecture of Materials Computational Materials Science Nano and Biomaterials Nanotechnology in Materials Science Mining, Metallurgy and Materials Science Materials for Energy and Environment Ceramics, Polymers and Composite Materials Materials in Industry To submit your abstracts please see: http://icmsr.madridge.com/abstract-submission.php ICMSR-2017 Organizing Committee: · Chandrasekar Srinivasakannan, The Petroleum Institute, Abu Dhabi, UAE · R G Faulkner, Loughborough University, UK · Fedor Kusmartsev, Loughborough University , UK · Khalil Abdelrazek Khalil Abdelmawgoud, University of Sharjah,UAE · Han Qingyou, Purdue University, USA · Mohy Saad Mansour, Cairo University, Egypt · Sofian Kanan, American University of Sharjah, UAE · Zeinab Saleh Safar, Cairo University, Egypt · Essam E Khalil, Cairo University, Egypt · Ammar Nayfeh, Masdar Institute of Science and Technology, UAE · Fawzi Banat, The Petroleum Institute, Abu Dhabi, UAE · Genqiang Zhang, University of Science and Technology of China, China · Karam Ramzy Beshay, Cairo University, Egypt · Mohamed Rashad El Hebeary, Cairo University, Egypt · Ahmed Hisham Morshed, Taibah University, KSA · Abdulla Ismail, Rochester Institute of Technology, Dubai, UAE · Jang hi Im, University of Texas, USA · Fatma Ashour, Cairo University, Egypt ICMSR-2017 is organizing an outstanding Scientific Exhibition/Program and anticipates the world’s leading specialists involved in Materials Science Research. They welcome Sponsorship and Exhibitions from the Companies and Organizations who wish to showcase their products at this exciting event. Contact person: Nirosha A icmsr@madridge.com icmsr@madridge.net Naples, FL, April 18, 2017 --( PR.com )-- The International Conference on Materials Science and Research is going to be held during November 16-18, 2017 in Dubai, UAE.ICMSR-2017 features highly enlightening and interactive sessions to encourage the exchange of ideas across a wide range of disciplines in the field of Materials Science and Research.They invite contributions related to materials science research. You can submit your work in these broad themes.ICMSR-2017 Themes:Materials Science and EngineeringAdvanced Materials (Biomaterials, Inorganic-Organic Composites, etc.)Materials Chemistry and PhysicsDiscovery and design of new materialsSynthesis & Architecture of MaterialsComputational Materials ScienceNano and BiomaterialsNanotechnology in Materials ScienceMining, Metallurgy and Materials ScienceMaterials for Energy and EnvironmentCeramics, Polymers and Composite MaterialsMaterials in IndustryTo submit your abstracts please see:ICMSR-2017 Organizing Committee:· Chandrasekar Srinivasakannan, The Petroleum Institute, Abu Dhabi, UAE· R G Faulkner, Loughborough University, UK· Fedor Kusmartsev, Loughborough University , UK· Khalil Abdelrazek Khalil Abdelmawgoud, University of Sharjah,UAE· Han Qingyou, Purdue University, USA· Mohy Saad Mansour, Cairo University, Egypt· Sofian Kanan, American University of Sharjah, UAE· Zeinab Saleh Safar, Cairo University, Egypt· Essam E Khalil, Cairo University, Egypt· Ammar Nayfeh, Masdar Institute of Science and Technology, UAE· Fawzi Banat, The Petroleum Institute, Abu Dhabi, UAE· Genqiang Zhang, University of Science and Technology of China, China· Karam Ramzy Beshay, Cairo University, Egypt· Mohamed Rashad El Hebeary, Cairo University, Egypt· Ahmed Hisham Morshed, Taibah University, KSA· Abdulla Ismail, Rochester Institute of Technology, Dubai, UAE· Jang hi Im, University of Texas, USA· Fatma Ashour, Cairo University, EgyptICMSR-2017 is organizing an outstanding Scientific Exhibition/Program and anticipates the world’s leading specialists involved in Materials Science Research. They welcome Sponsorship and Exhibitions from the Companies and Organizations who wish to showcase their products at this exciting event.Contact person:Nirosha A


Patent
Huawei, University of Science and Technology of China | Date: 2017-03-16

A picture prediction method and a related apparatus are disclosed. The picture prediction method includes: determining motion vector predictors of K pixel samples in a current picture block, where K is an integer greater than 1, the K pixel samples include a first vertex angle pixel sample in the current picture block, a motion vector predictor of the first vertex angle pixel sample is obtained based on a motion vector of a preset first spatially adjacent picture block of the current picture block, and the first spatially adjacent picture block is spatially adjacent to the first vertex angle pixel sample; and performing, based on a non-translational motion model and the motion vector predictors of the K pixel samples, pixel value prediction on the current picture block. Solutions in the embodiments of the present application are helpful in reducing calculation complexity of picture prediction based on a non-translational motion model.


Patent
Huawei, University of Science and Technology of China | Date: 2017-07-12

Embodiments of the present invention provide a method and an apparatus for task scheduling on a heterogeneous multi-core reconfigurable computing platform, where the method includes: determining an execution manner of a target task according to popularity of the to-be-executed target task and usage of a reconfigurable resource of the heterogeneous multi-core reconfigurable computing platform, where the execution manner includes a hardware manner or a software manner, for the target task, there is no corresponding target intellectual property IP core for executing the target task on the heterogeneous multi-core reconfigurable computing platform, the popularity of the target task is used to indicate central processing unit CPU usage of the target task, and the usage of the reconfigurable resource is used to indicate a usage status of the reconfigurable resource; and executing the target task according to the determined execution manner. According to the embodiments of the present invention, an execution manner of a task is determined dynamically according to an execution status of the task and a usage status of a reconfigurable resource. Therefore, usage of the reconfigurable resource of a computing platform can be effectively improved, and further overall performance of the computing platform can be improved.


Patent
Huawei, University of Science and Technology of China | Date: 2017-07-26

Embodiments of the present invention disclose a picture prediction method and a related apparatus. The picture prediction method includes: determining motion vector predictors of K pixel samples in a current picture block, where K is an integer greater than 1, the K pixel samples include a first vertex angle pixel sample in the current picture block, a motion vector predictor of the first vertex angle pixel sample is obtained based on a motion vector of a preset first spatially adjacent picture block of the current picture block, and the first spatially adjacent picture block is spatially adjacent to the first vertex angle pixel sample; and performing, based on a non-translational motion model and the motion vector predictors of the K pixel samples, pixel value prediction on the current picture block. Solutions in the embodiments of the present invention are helpful in reducing calculation complexity of picture prediction based on a non-translational motion model.


Grant
Agency: European Commission | Branch: H2020 | Program: FCH2-RIA | Phase: FCH-04.3-2014 | Award Amount: 1.51M | Year: 2015

The aim of the HySEA project is to conduct pre-normative research on vented deflagrations in enclosures and containers for hydrogen energy applications. The ambition is to facilitate the safe and successful introduction of hydrogen energy systems by introducing harmonized standard vent sizing requirements. The partners in the HySEA consortium have extensive experience from experimental and numerical investigations of hydrogen explosions. The experimental program features full-scale vented deflagration experiments in standard ISO containers, and includes the effect of obstacles simulating levels of congestion representative of industrial systems. The project also entails the development of a hierarchy of predictive models, ranging from empirical engineering models to sophisticated computational fluid dynamics (CFD) and finite element (FE) tools. The specific objectives of HySEA are: - To generate experimental data of high quality for vented deflagrations in real-life enclosures and containers with congestion levels representative of industrial practice; - To characterize different strategies for explosion venting, including hinged doors, natural vent openings, and commercial vent panels; - To invite the larger scientific and industrial safety community to submit blind-predictions for the reduced explosion pressure in selected well-defined explosion scenarios; - To develop, verify and validate engineering models and CFD-based tools for reliable predictions of pressure loads in vented explosions; - To develop and validate predictive tools for overpressure (P) and impulse (I), and produce P-I diagrams for typical structures with relevance for hydrogen energy applications; - To use validated CFD codes to explore explosion hazards and mitigating measures in larger enclosures, such as warehouses; and - To formulate recommendations for improvements to European (EN-14994), American (NFPA 68), and other relevant standards for vented explosions.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-3-2014 | Award Amount: 2.27M | Year: 2015

We are on the verge of a new scientific and technological era as the first quantum simulators able to investigate physical systems that cannot be studied classically are about to be built in the laboratories. Controlling and probing complex quantum systems is of paramount importance for the implementation of these devices. Quantum simulators are controllable complex quantum systems that emulate the behaviour of other quantum systems whose properties cannot be easily tested. While several models of quantum simulators are currently under construction, the development of effective probing techniques is still lagging behind, despite their crucial role. In most of the quantum simulator experiments measurement techniques are invasive and destructive, destroying not only the very quantum properties from which the simulator stems, but often also the quantum system itself. QuProCS works on the development of a radically new approach to probe complex quantum systems for quantum simulations, based on the quantification and optimisation of the information that can be extracted by an immersed quantum probe as opposed to a classical one. The team will theoretically investigate and experimentally implement quantum information probes to detect and characterise quantum correlations, quantum phase transitions, transport properties, and nonequilibrium phenomena in ultracold gases. By a shift in perspective to a complementary viewpoint, we will at the same time investigate experimentally, in a quantum optical platform, how changing the properties of the environment via reservoir engineering modifies the behaviour of the quantum probe. We will develop optimal probing strategies to read out and benchmark quantum simulators, thus providing the most crucial ingredient for commercial devices.


Patent
University of Science and Technology of China | Date: 2016-01-28

Provided is a method for preparing a nitrogen-containing aromatic compound through catalytic pyrolysis from organic materials. The method comprises: feeding organic materials and a catalyst into a reactor, to enable the organic material to undergo reactions in the presence of nitrogen and under heating conditions, so as to generate a reaction system flow containing one or more nitrogen-containing aromatic compounds.

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