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.
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.
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.
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.
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.
News Article | May 26, 2017
Dublin, May 26, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of the "Smart Windows Materials Markets: 2017 - 2026" report to their offering. This report identifies the opportunities for materials sold into smart windows markets. The firm most recently issued study of the smart windows market was issued in November of 2016. This new materials focused study: - Provides ten-year forecasts of smart windows materials breakouts by type of material (electrochromic, photochromic, thermochromic, SPD, PDLC and emerging technologies) in both volume (square meters) and value ($ millions) terms and by end user markets ( construction, automotive, public transportation and aerospace). - Identifies the materials strategies of the leading smart windows suppliers and the materials-related R&D that they are undertaking to improve their products. - Predicts the commercial implications of the research on self-dimming materials being carried out around the world as technologists identify materials and techniques for smart window platforms that will lead to decreased cost, increased durability, and enhanced features for smart windows. - Discusses how materials strategies can help reduce the cost of smart windows, which has long been considered the key impediment to further market penetration. - Analyzes the role for polymer-based substrates in the smart windows sector and as a key enablers for retrofitted smart windows. This report will be a must-read for marketing, business development, and product management executives in the following sectors: - Smart windows manufacturers - Conventional windows suppliers - Flat glass products - Specialty chemicals, polymer and smart material firms - Construction and architectural firms - Energy management companies Key Topics Covered: Executive Summary E.1 Raising the IQ of Windows E1.1 Favorable investment climate for Smart Windows E.1.2 Price and Energy Saving: The Impact of Nanomaterials E.2 Important Developments and Opportunities In Standard Materials Platforms for Smart Windows E.2.1 Electrochromic Materials E.2.1.1 The Rise of Polymer-based EC Windows E.2.1.2 Changing EC Windows Designs E.2.2 Photochromic Materials E.2.3 Thermochromic Materials E.2.4 SPD Materials E.2.5 PDLC Materials E.3 Six Companies to Watch and One Technology E.4 Summary of Ten-Year Forecasts Chapter One: Introduction 1.1 Report Structure and Topics Covered 1.2 Background on Smart Windows 1.2.1 Move Towards Wide-spread Adoption 1.2.2 Controlling the Tinting Function 1.2.3 Price War 1.2.4 New Material Development - Continued 1.2.5 Tackling the Technical Challenges and Economic Rationale to Buy - EC Windows 1.3 Objective and Scope of This Report 1.4 Methodology 1.4.1 Data Collection 1.4.2 Forecasting Methodology Chapter Two: EC Smart Windows 2.1 Current State of EC Smart Windows 2.1.1 EC Technology - How It Works and Compares to Some Alternate Smart Glass Technologies 2.1.2 Environmental, Cost Savings, and Infrastructure Reduction Benefits 2.1.3 EC Design Development through the Years 2.1.4 What is Changing for EC Windows? 2.2 EC Materials 2.2.1 Opportunities in the EC Materials Market 2.2.2 EC Thin Film 18.104.22.168 EC Thin Films Using Thermochromic Material 2.2.3 Transparent Electrical Conductors - the Search Continues 22.214.171.124 Alternatives to ITO 2.2.4 Electrolytes 2.2.5 Technological developments 2.2.6 Developments in glass-based EC smart windows 2.2.7 Towards EC Plastic Smart Windows 2.2.8 Advances in controls of EC windows 126.96.36.199Wired EC windows 188.8.131.52 Wireless Option for EC Window 2.2.9 NanoECs for Smart Windows - Growing In Importance 184.108.40.206 EC Windows Using Silver Nanowires 2.3 Retrofitted EC Windows - A Game Changer? 2.3.1 ChromoGenics 2.3.2 e-Chromic Technologies 2.3.3 University of Florida 2.4 Need for Developing Better Switching Times for EC Windows 2.4.1 Losing the Switching Time Advantage to Other Dynamic Window Technologies 2.5 50% Percent Drop in EC Window Prices - at the Cost of Low/No Margins 2.5.1 Payback Benefit - Companies Not Utilizing This Enough 2.6 Consistency of Color and Power Required 2.7 Manufacturing Methods to Reduce Cost 2.7.1 Fraunhofer Develops a New Design - Two Pane Window 2.7.2 LBNL 2.7.3 EELICON 2.7.4 Clear Metals 2.7.5 Nanyang Technological University, 2.8 Notable Company Activities 2.8.1 View 2.8.2 Kinestral Technologies 2.8.3 Gentex 2.8.4 SageGlass 2.8.5 Argil - A Two-Way Business Model 2.8.6 What Happened to Samsung's Transparent EC Smart Window? 2.8.7 ChromoGenics 2.9 Ten-Year Forecast For EC Material Market 2.10 Key Points Discussed in this Chapter Chapter Three: Photochromic Materials and Hybrid Photochromic/Electrochromic Smart Windows 3.1 Photochromic - Not Commercialized for Smart Windows 3.1.1 Commercialization of Photochromic and Hybrid PEC Windows 3.2 Photochromic Materials Development 3.2.1 Universidade de Trás-os-Montes e Alto Douro 3.2.2 Shimane University and Nagoya Institute of Technology 3.2.3 Yamaguchi University 3.2.4 TU Delft 3.3 Hybrid PEC Material Market for Windows 3.3.1 SWITCH Materials 3.3.2 Winsmart 3.3.3 University of Science and Technology of China 3.3.4 Nanjing Normal University and University of Science and Technology of China 3.3.5 Importance of Materials In Development of PEC Windows 3.3.6 Opportunity for Start-ups in this Segment 3.4 Low-grade Photochromic Smart Window Films 3.5 Ten-Year Forecast of Photochromic Materials in Smart Windows 3.6 Key points Discussed In This Chapter Chapter Four: Thermochromic Materials for Smart Windows 4.1 Thermochromic windows 4.1.1 The Market 4.1.2 TC window market landscape 4.1.3 Residential markets - advantage TC 4.1.4 Areas of development 4.2 Material and design development for TC windows 4.2.1 Vanadium oxide 4.2.2 RavenWindow - material and design 4.2.3 Pleotint - Suntuitive Glass 220.127.116.11 Global Coverage, Thanks to a Simple Business Model 18.104.22.168 A Word about Pleotint's Financial Stability 4.2.4 NREL - combining photochromic windows with photovoltaic (PV cells) 4.2.5 Noteworthy concept - energy saving window by UCL 4.3 Switching times of TC windows - Level Playing Field 4.4 Skylights 4.5 Cost - no longer a competitive advantage 4.6 Ten-year Forecast for TC Material for Windows 4.7 Key Takeaways from this Chapter Chapter Five: Suspended Particle Device Technology 5.1 The Technology 5.2 Research Frontiers - SPD's patent holder 5.2.1 RFI's revenue stream - a cause for concern 5.3 RFI's potential expansion into other markets 5.3.1 Aircraft Inspectech Aero Service, Inc. Vision Systems 5.3.2 Automotive Market 5.3.3 Architectural Market 5.3.4 Marine 5.3.5 Trains - a Future Market? 5.4 Notable Manufacturers/Licensees 5.5 Future of SPD Windows 5.6 Eight-Year Forecasts of SPD Materials in Smart Windows Chapter Six: PDLC Privacy Glass 6.1 PDLC 6.1.1 Types of PDLC Switchable Glass and materials used 6.1.2 Privacy, comfort, energy use reduction with PDLC technology 6.1.3 - Unique selling point - projection glass 6.1.4 New materials being considered for PDLC films 6.1.5 Solar-powered PDLC Switchable Glass 6.1.6 Translucent White - a Limiting Factor 6.2 Notable PLDC Switchable Glass Companies 6.2.1 Scienstry 6.2.2 Merck 6.2.3 SmartGlass International, Smart Films International, Invisishade, Smart Tint and BenQ (Taiwan) 6.3 PDLC in the Automobile Industry 6.4 Ten-year Forecasts of PDLC Materials in Smart Windows 6.5 Key Takeaways from this Chapter Chapter Seven: Emerging Materials Platforms for Smart Windows 7.1 Emerging Smart Windows Technologies 7.2 Electrokinetic - 3D Nanocolor 7.2.1 Marathon Patent Group 7.3 Externally Modulated Display (EMD) 7.4 TouchChromic Thin Film 7.5 Hydrogels 7.5.1 Thermally Responsive Composite Hydrogels 7.5.2 Thermochromic/Thermotropic Hydrogels 7.6 Revenue Forecast of New Window Material 7.7 Key Takeaways from this Chapter Companies Mentioned - BenQ (Taiwan) - Inspectech Aero Service, Inc. - Invisishade - Merck - Scienstry - Smart Films International - Smart Tint - SmartGlass International - Vision Systems For more information about this report visit http://www.researchandmarkets.com/research/mp4c3l/smart_windows
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.
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.
University of Science and Technology of China | Date: 2017-09-27
The present application relates to the molecular labeling and in vivo imaging of amyloids. Specifically, the present application relates to a polypeptide-based method/vector for targeting amyloids. Such a method/vector enables the transportation of compounds or drugs across blood-brain-barrier of an individual and thenbinding to amyloids in brain. Particularily, the vector of the present application can transport an imaging group linked to the vector across the blood-brain-barrier, and can binds to amyloids in brain, and thus enables the lebeling and imaging of amyloid deposits. When used as an imaging agent for detecting amyloid deposits in body or tissues, the vector may be labeled with suitable optical imaging groups, radioactive isotopes or imaging groups suitable for MRI or CT detection. The method/vector can especially used for the in vivo non-invasivediagnosis of amyloid-related diseases including Alzheimers disease, and for the observation of the therapeutic effect of drugs targeting amyloid deposits.
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.
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.