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Soft transmission of 3D video for low power and low complexity scenario

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Digital Communications and Networks 2023年第3期9卷 769-778页

作者： ao li Taihai Yang Wenxin Wu Lei Luo School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology East China Normal UniversityShanghai200062China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China

Thanks to the rapid development of naked-eye 3D and wireless communication technology,3D video related applications on mobile devices have attracted a lot of ***,the time-varying characteristics of the wireless channel is very challenging for conventional source-channel coding based transmission ***,the high complexity of source-channel coding based transmission scheme is undesired for low power mobile *** advanced transmission scheme named Softcast was proposed to achieve efficient transmission performance for 2D image/***,it cannot be directly applied to wireless 3D video transmission with high *** paper proposes a more efficient soft transmission scheme for 3D video with a graceful quality adaptation within a wide range of channel Signal-to-Noise Ratio(SNR).The proposed method first extends the linear transform to 4 dimensions with additional view dimension to eliminate the view redundancy,and then metadata optimization and chunk interleaving are designed to further improve the transmission ***,a synthesis distortion based chunk discard strategy is developed to improve the overall 3D video quality under the condition of limited *** experimental results demonstrate that the proposed method significantly improves the 3D video transmission performance over the wireless channel for low power and low complexity scenarios.

关键词： Softcast Low power 3D video Wireless

Development of an ANN-based building energy model for information-poor buildings using transfer learning

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Building Simulation 2021年第1期14卷 89-101页

作者： ao li Fu Xiao Cheng Fan Maomao Hu Department of Building Services Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Construction Management and Real Estate College of Civil EngineeringShenzhen UniversityShenzhenChina Oxford e-Research Centre Department of Engineering Science University of OxfordOxfordUK

Accurate building energy prediction is vital to develop optimal control strategies to enhance building energy efficiency and energy *** recent years,the data-driven approach based on machine learning algorithms has been widely adopted for building energy prediction due to the availability of massive data in building automation systems(BASs),which automatically collect and store real-time building operational *** new buildings and most existing buildings without installing advanced BASs,there is a lack of sufficient data to train data-driven predictive *** learning is a promising method to develop accurate and reliable data-driven building energy prediction models with limited training data by taking advantage of the rich data/knowledge obtained from other *** studies focused on the influences of source building datasets,pre-training data volume,and training data volume on the performance of the transfer learning *** present study aims to develop a transfer learning-based ANN model for one-hour ahead building energy prediction to fill this research *** 400 non-residential buildings’data from the open-source Building Genome Project are used to test the proposed *** analysis demonstrates that transfer learning can effectively improve the accuracy of BPNN-based building energy models for information-poor buildings with very limited training *** most influential building features which influence the effectiveness of transfer learning are found to be building usage and *** research outcomes can provide guidance for implementation of transfer learning,especially in selecting appropriate source buildings and datasets for developing accurate building energy prediction models.

关键词： building energy prediction data-driven approach transfer learning neural network information poor buildings

Prediction on CO2 uptake of recycled aggregate concrete

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Frontiers of Structural and Civil Engineering 2020年第3期14卷 746-759页

作者： Kaiwen HUANG ao li Bing XIA Tao DING Department of Structural Engineeving College of Civil EngineeringTongji UniversityShanghai 200092China Shanghai International Airport Company limited Shanghai 200152China

Carbonation of concrete is a process which absorbs carbon dioxide (CO2). Recycled aggregate concrete(RAC) may own greater potential in CO2 uptake due to the faster carbonation rate than natural aggregate concrete (NAC).A quantitative model was employed to predict the CO2 uptake of RAC in this study. The carbonation of RAC and thespecific surface area of recycled coarse aggregates (RCAs) were tested to verify accuracy of the quantitative model. Basedon the verified model, results show that the CO2 uptake capacity increases with the increase of RCA replacementpercentage. The CO2 uptake amount of 1 m^3 C30 RAC within 50 years is 10.6, 13.8, 17.2, and 22.4 kg when the RCAreplacement percentage is 30%, 50%, 70%, and 100%, respectively. The CO2 uptake by RCAs is remarkable and reaches35.8%- 64.3% of the total CO2 uptake by RAC when the RCA storage time being 30 days. Considering the fact that theamount of old hardened cement paste in RCAs is limited, there is an upper limit for the CO2 uptake of RCAs.

关键词： RAC CO2 uptake carbonation specific surface area RCA

A Bipartite Network-based Method for Prediction of Long Non-coding RNA–protein Interactions

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Genomics, Proteomics & Bioinformatics 2016年第1期14卷 62-71页

作者： Mengqu Ge ao li Minghui Wang School of Information Science and Technology University of Science and Technology of China Centers for Biomedical Engineering University of Science and Technology of China

As one large class of non-coding RNAs （ncRNAs）, long ncRNAs （IneRNAs） have gained considerable attention in recent years. Mutations and dysfunction of lncRNAs have been implicated in human disorders. Many lncRNAs exert their effects through interactions with the corresponding RNA-binding proteins. Several computational approaches have been developed, but only few are able to perform the prediction of these interactions from a network-based point of view. Here, we introduce a computational method named lncRN^protein bipartite network inference （LPBNI）. LPBNI aims to identify potential lncRNA-interacting proteins, by making full use of the known IncRNA-protein interactions. Leave-one-out cross validation （LOOCV） test shows that LPBNI significantly outperforms other network-based methods, including random walk （RWR） and protein-based collaborative filtering （ProCF）. Furthermore, a case study was performed to demonstrate the performance of LPBNI using real data in predicting potential lncRNA-interacting proteins.

关键词： lncRNA Protein Interaction Bipartite network Propagation

Reactive DC Magnetron Sputtering Deposition of Copper Nitride Thin Film

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Journal of Materials Science & Technology 2007年第4期23卷 468-472页

作者： Xing＇ao li Zuli liU Kailun Yao Department of Physics Huazhong University of Science and Technology Wuhan 430074 China Scllool of Science Hubei Institute for Nationalities Enshi 445000 China International Center of Material Physics Chinese Academy of Science Shenyang 110016 China

Copper nitride thin film was deposited on glass substrates by reactive DC （direct current） magnetron sputtering at a 0.5 Pa N2 partial pressure and different substrate temperatures. The as-prepared film, characterized with X-Ray diffraction, atomic force microscopy, and X-ray photoelectron spectroscopy measurements, showed a composed structure of Cu3N crystallites with anti-ReO3 structure and a slight oxidation of the resulted *** crystal structure and growth rate of Cu3N films were affected strongly by substrate temperature. The preferred crystalline orientation of Cu3N films were （111） and （200） at RT, 100℃. These peaks decayed at 200℃ and 300℃ only Cu （111） peak was noticed. Growth of Cu3N films at 100℃ is the optimum substrate temperature for producing high-quality （111） Cu3N films. The deposition rate of Cu3N films estimated to be in range of 18-30 nm/min increased while the resistivity and the microhardness of Cu3N films decreased when the temperature of glass substrate increased.

关键词： DC magnetron sputtering Copper nitride thin film Resistivity Microhardness

A novel 2D graphene oxide modified α-AgVO_(3) nanorods: Design, fabrication, and enhanced visible-light photocatalytic performance

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Journal of Advanced Ceramics 2022年第2期11卷 308-320页

作者： Jian WU liangyu li Xing-ao li Xin MIN Yan XING New Energy Technology Engineering Lab of Jiangsu Province School of ScienceNanjing University of Posts&Telecommunications(NUPT)Nanjing 210023China Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of Geosciences(Beijing)Beijing 100083China

Silver vanadates are promising visible-light-responded photocatalysts with suitable bandgap for solar ***,the easy recombination of photogenerated carriers limits their *** overcome this obstacle,a novel 2D graphene oxide(GO)modifiedα-AgVO_(3) nanorods(GO/α-AgVO_(3) )photocatalyst was designed herein to improve the separation of *** GO/α-AgVO_(3) was fabricated through a facile in-situ coprecipitation method at room *** was found that the as-prepared 0.5 wt%GO/α-AgVO_(3) exhibited the most excellent performance for rhodamine B(RhB)decomposition,with an apparent reaction rate constant 18 times higher than that of pureα-AgVO_(3) under visible-light *** light of the first-principles calculations and the hetero junction analysis,the mechanism underpinned the enhanced photocatalytic performance was *** enhanced photocatalytic performance was ascribed to the appropriate bandgap ofα-AgVO_(3) nanorods for visible-light response and efficient separation of photocarriers through GO *** work demonstrates the feasibility of overcoming the easy recombination of photogenerated carriers and provides a valuable GO/α-AgVO_(3) photocatalyst for pollutant degradation.

关键词： α-AgVO_(3) graphene oxide modifiedα-AgVO_(3)nanorods(GO/α-AgVO_(3)) photocatalysis graphene oxide(GO)nanosheets in-situ coprecipitation processing

light-Emitting Artificial Synapses for Neuromorphic Computing

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Research 2023年第2期2022卷 213-218页

作者： Chen Zhu Wen Huang Wei li Xuegong Yu Xing'ao li Collge of Integrated Circuit Science and Engineering Nanjing University of Posts and TelecommunicationsNanjing210023China New Energy Technology Engineering Laboratory of Jiangsu Province School of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China State Key Laboratory of Silicon Materials Zhejiang UniversityHangzhou 310027China College of Electronic and Optical Engineering College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China

As the key connecting points in the neuromorphic computing systems,synaptic devices have been investigated substantially in recent *** optoelectronic synaptic devices with optical outputs is becoming attractive due to... 详细信息

关键词： computing connecting attractive

Impact of the Complex Terrain in Beijing on Formation of Low-Level Jets

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Journal of Meteorological Research 2024年第1期38卷 138-150页

作者： li’ao ZHOU Chenggang WANG Shiguang MIao Ju li School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing 210044 Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089 Key Laboratory of Urban Meteorology China Meteorological AdministrationBeijing 100089

This study investigated how the Taihang Mountains and the Yanshan Mountains affect low-level jets(LLJs)in the Beijing area,based on conventional radiosonde observations from Nanjiao Observatory(2016–2017)and high-resolution Weather Research and Forecasting–Advanced Research WRF(WRF-ARW)model *** of radiosonde observations indicated that LLJs in the study area are mainly from the southwest and northwest directions,with occurrence frequency of 44.6%and 33.0%,***(northwest)LLJs are aligned parallel(perpendicular)to the orientation of the Taihang Mountain *** sensitivity experiments using the WRF-ARW model were then conducted to examine the effects of terrain forcing on the northwest and southwest LLJs,with adopted terrain heights of 100%and 50%.The results showed that for northwest LLJs,reduction in the elevation of the Taihang Mountain Range led to weakening of jet intensity by approximately 20%and reduction in jet maximum height by approximately 250 m;lowering the Yanshan Mountain Range had minor influence on the northwest LLJs,with only a 5.2%reduction in intensity and no substantial change in jet maximum *** southwest LLJs,reduction in the elevation of both the Taihang and Yanshan Mountain ranges resulted in minor changes in the intensity and height of the *** analysis revealed that the topography in the Beijing area could modulate the height and intensity of the stable layer by altering the inversion structure within the boundary *** LLJs can develop rapidly within the stable layer,and both the location and the scale of the jet core exhibited reasonable agreement with the extent of the stable layer.

关键词： low-level jets(LLJs) mesoscale numerical simulation terrain forcing

Low temperature synthesis of high-entropy(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3)nanofibers by a novel electrospinning method

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Journal of Materials Science & Technology 2022年第8期103卷 215-220页

作者： Yan Xing Wenqing Dan Yicun Fan Xing’ao li New Energy Technology Engineering Lab of Jiangsu Province School of ScienceNanjing University of Posts&Telecommunications(NUPT)Nanjing 210023China

High-entropy ceramics(HECs)show outstanding properties such as amorphous-like thermal conductivities,colossal dielectric constant,superionic conductivity,enhanced electromagnetic wave absorption ability,super hardness and strength,which are promising for structural and functional ***,the high synthesis temperature has become the bottleneck that hinders the scale-up production and practical applications of *** is thus appealing to develop a novel low-temperature process for the synthesis of *** demonstrate the feasibility of low-temperature synthesis,herein,an electrospinning method has been utilized,for the first time,for the synthesis of high-entropy(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3)*** has been found that after electrospinning from liquid precursors single phase(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) solid solution with bixbyite structure can be formed by calcining at a temperature as low as 500℃,which is at least about 1000℃ lower than that used in the solid-state synthesis *** as-prepared(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) nanofibers are continuous and uniform with a smooth surface and a small diameter of 150 *** is also intriguing that the average grain size of(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) is only about 10 nm,which is much smaller than that in the solid-state synthesized *** addition,all the elements are homogeneously distributed along the *** work demonstrates that high-entropy ceramic nanofibers can be synthesized from liquid precursors at low temperatures through a simple,efficient,and low-cost electrospinning method,which opens up a new avenue for the low-temperature synthesis of HECs.

关键词： High-entropy ceramics Nanofibers Electrospinning Rare earth metal oxides Synthesis