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Perovskite light-emitting/detecting bifunctional fibres for wearable LiFi communication

Light(Science & Applications) 2020年第1期9卷 441-449页

作者： Qingsong Shan Changting Wei Yan Jiang Jizhong Song Yousheng Zou Leimeng Xu Tao Fang Tiantian Wang Yuhui Dong Jiaxin Liu Boning Han Fengjuan Zhang Jiawei Chen Yongjin Wang Haibo Zeng MIIT Key Laboratory of Advanced Display Materials and Devices Institute of Optoelectronics&NanomaterialsSchool of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Peter Grünberg Research Center Laboratory of Broadband Wireless Communication and Sensor Network TechnologyMinistry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Light fidelity(LiFi),which is emerging as a compelling technology paradigm shifting the common means of highcapacity wireless communication technologies,requires wearable and full-duplex compact design because of its great significance in smart wearables as well as the‘Internet of Things’.However,the construction of the key component of wearable full-duplex LiFi,light-emitting/detecting bifunctional fibres,is still challenging because of the conflicting process between carrier separation and recombination,as well as the highly dynamic film-forming ***,we demonstrate light-emitting/detecting bifunctional fibres enabled by perovskite QDs with hybrid *** hybrid perovskite inks endow fibres with super-smooth QD ***,combined with the small exciton binding energy and high carrier mobility of perovskite QDs,enables successful integration of electroluminescence and photodetection into *** bifunctional fibres possess the narrowest electroluminescence full width at half maximum of ~19 nm and,more importantly,the capability for simultaneously transmitting and receiving *** successful fabrication of narrow emission full-duplex LiFi fibres paves the way for the fabrication and integration of low crosstalk interoperable smart wearables.

关键词： process perovskite functional

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Biomass Energy May Mitigate Energy Shortages and Reduce Carbon Emissions in Asia

SSRN

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SSRN 2022年

作者： Li, Yong Wang, Zhaosheng Huang, Mei Gong, He Sun, Hongfu Zhu, Lin National Ecosystem Science Data Center Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China College of Geoscience and Surveying Engineering China University of Mining and Technology Beijing100083 China National Satellite Meteorological Center China Meteorological Administration Beijing China

Biomass energy is a key component of renewable new energy, which is very important for energy security and environmental protection. Meanwhile, Asia is a region with intensive global energy consumption. It is of great significance to clarify its biomass energy potential and its role in energy and environment. So, we used MODIS NPP to evaluate potential biomass energy reserves and their temporal and spatial changes in Asia. The results show that the total potential biomass energy in Asia is 327.68 ± 11.11 EJ, which is approximately equal to the total energy use in all of Asia over the four years. In addition, we used the AHP and cluster analysis to investigate the degree of energy shortage in Asian *** supplying biomass energy for energy use in various countries, the number of countries with severe, moderate and mild energy shortages in Asia will decrease by 8.5%, 12.7% and 6.4% respectively. In addition, if 50% of conventional energy in Asia is replaced by biomass, its total carbon dioxide emissions will be reduced by 33% to 44%. Taken together, this shows that Asia's abundant biomass energy reserves can help alleviate energy shortages in various countries and reduce regional carbon dioxide emissions. © 2022, The Authors. All rights reserved.

关键词： Energy security

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Sequential 3→1 quantum random access code utilizing unsharp measurements

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Chinese Optics Letters 2021年第11期19卷 133-137页

作者： Zhiguang Pang Jiang Gao Tianlei Hou Min Wei Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications(NUPT)Nanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education NUPTNanjing 210003China Telecommunication and Networks National Engineering Research Center NUPTNanjing 210003China

Quantum random access codes(QRACs) are important communication tasks that are usually implemented in prepare-andmeasure scenarios. The receiver tries to retrieve one arbitrarily chosen bit of the original bit-string from the code qubit sent by the sender. In this Letter, we analyze in detail the sequential version of the 3 → 1 QRAC with two receivers. The average successful probability for the strategy of unsharp measurement is derived. The prepare-and-measure strategy within projective measurement is also discussed. It is found that sequential 3 → 1 QRAC with weak measurement cannot be always superior to the one with projective measurement, as the 2 → 1 version can be.

关键词： quantum random access codes unsharp measurement prepare-and-measure scenario

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Research on DNS Resolution technology based on Blockchain

Research on DNS Resolution Technology based on Blockchain

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Chinese Automation Congress (CAC)

作者： Wang Hu-qing Zhang Ying-jiao Zhang Xu Sun Zhi-xin Post Industry Technology Research and Development Center of the State Posts Bureau(Intemet of Things Technology) Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China School of Modern Posts Nanjing University of Posts and Telecommunications Nanjing China Aahui Yougu Express Intelligent Technology Co. LTD Nanjing China

DNS completes the resolution of domain names to IP addresses, which is an effective means to realize various In-ternet applications, and is also an indispensable part of Internet infrastructure, playing an important role. However, the resolution efficiency and security of DNS have always been a hot spot in the industry. This study deeply discusses the principle of Blockchain-based DNS resolution and conducts extensive re-search on Blockchain-based DNS resolution schemes. Based on compatibility with traditional DNS, these schemes are divided into two categories: compatible and incompatible. For different scenarios, we conduct a detailed analysis and comparison, focusing on the technical characteristics and performance of each so-lution. Finally, the future research direction is looked forward to, and the full text is summarized.

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Secondary Access Class Barring for Machine Type Communications with PUSCH Resource Constraints

Secondary Access Class Barring for Machine Type Communicatio...

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IEEE Conference on Vehicular technology (VTC)

作者： Yuxuan Wen Liu Yang Chaoyuan Bai Heng Liu Communication and Sensor Network for Modern Transportation International Cooperation Center(CSNMT) Southwest Jiaotong University Chengdu P.R.China Key Lab of Information Coding & Transmission Institude of Mobile Communication Southwest Jiaotong University Chengdu P.R.China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu P.R.China

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

With the continuous increase of IoT devices, multiple devices desire to use network resources simultaneously during peak hours and overload conditions, leading to collisions and a reduction in the network’s effective throughput. The Access Class Barring (ACB) method has been proposed as the optimal potential solution in LTE communication networks to overcome this problem. However, existing ACB schemes do not fully utilize preamble resources, and most schemes do not consider the situation where PUSCH resources are limited. Therefore, this paper proposes a two-stage ACB algorithm that considers the situation of limited PUSCH resources. This algorithm recycles part of the preamble resources and sets the ACB factor based on the number of PUSCH resources. Simulation results show that our proposed algorithm significantly outperforms traditional schemes in terms of total service time, delay, throughput, and PUSCH resource efficiency.

关键词： Vehicular and wireless technologies Delay effects Computer simulation Throughput Delays Internet of Things Communication networks Long Term Evolution

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High-Precision Demodulation Method of MEMS Gyroscope Signal

High-Precision Demodulation Method of MEMS Gyroscope Signal

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Jiawei Li Jun Qin Xinyue Sun Ergang Zhao Zhao Yue College of Electronic Information and Optical Engineering Nankai University Tianjin China College of Electronic Information and Optical Engineering Smart Sensing Interdisciplinary Science Center of Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai University Tianjin China

The output signal components of the sensitive end of micro-electro-mechanical system (MEMS) gyroscope are complex, and the design error of the back-end demodulation circuit can greatly affect the detection accuracy of the gyroscope. Therefore, this paper designs a high-precision signal demodulation scheme applicable to MEMS gyroscope sensors. The scheme improves the traditional signal demodulation technology by combining the correlation demodulation technology and the fast Fourier transform (FFT) technology, and after the correlation demodulation of the gyroscope-sensitive signal, the infinite impulse response (IIR) filter and the FFT transform are used to jointly extract the amplitude information of the fundamental frequency signal and do the fusion processing, so as to achieve the very high precision extraction of the input angular velocity. The feasibility of the demodulation scheme is verified by field programmable gate array (FPGA) simulation. The experimental results show that the combined IIR and FFT filtering algorithm has higher demodulation accuracy than the single low-pass finite impulse response (FIR) filtering algorithm.

关键词： Micromechanical devices Correlation Finite impulse response filters Low-pass filters IIR filters Filtering algorithms Angular velocity

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Design of Safety Monitoring System for Electrical Laboratory in Colleges and Universities under the Background of Informatization

Design of Safety Monitoring System for Electrical Laboratory...

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2021 International Symposium on Advances in Informatics, Electronics and Education, ISAIEE 2021

作者： Liu, Huahui Liu, Juan Hu, Xusheng Research Center for Wireless Sensor Network and Intellisense Ma'Anshan Engineering Technology Ma'anshan243031 China Key Laboratory of Unmanned Aerial Vehicle Development Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Ma'anshan243031. China Ma'Anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781665478748

With the development of economic globalization, information technology has made great progress, and artificial intelligence technology has been widely used, such as car driving, robot automatic steering, rescue and disaster relief robot, underwater robot and so on. However, in the laboratory management of colleges and universities, the application of artificial intelligence is insufficient, and the traditional management mode is backward. Some universities still adopt manual management mode, which not only has high labor cost, but also has a large management gap, resulting in too many potential safety hazards, which is not conducive to the safety management of university laboratories. The market urgently needs to realize the combination of laboratory management and artificial intelligence. As a Key Laboratory of engineering, the electrical laboratory carries out and sets up multiple experimental courses according to the discipline training requirements. As an engineering University, the course content spans multiple grades, faces more students and covers multiple majors in two colleges. It can be imagined that the experimental courses opened in the electrical laboratory basically take the power supply as the carrier, in this way, the requirements for students are very high. If the electrical experiment is misoperated or caused by emergencies, the risk is great and the accidents are very sudden. Based on the above situation, it fully shows that higher requirements are put forward for the safety management of the electrical laboratory and the management will be more difficult. In recent years, discipline construction has been paid more and more attention, but with the frequent occurrence of laboratory accidents, the fire safety related to the laboratory has attracted more and more attention. For the application-oriented laboratory in Colleges and universities, we must raise awareness, strengthen safety prevention, and strengthen the management of laboratory fire safet

关键词： Laboratories

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Traffic Matrix Prediction in SDN based on Spatial-Temporal Residual Graph Convolutional network

Traffic Matrix Prediction in SDN based on Spatial-Temporal R...

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Chinese Control and Decision Conference, CCDC

作者： Xintong Wang Yibo Sun Xuan Wang Enliang Wang Zhixin Sun Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing P.R. China Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology) Nanjing University of Posts and Telecommunications Nanjing P.R. China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing P.R. China School of Information Technology and Electrical Engineering The University of Queensland Brisbane Brisbane Australia

Traffic prediction is the basis for dynamic network services and resource optimization. Software Defined networking (SDN) provides a global view for network measurement and management, and a reliable way for network information collection and network traffic prediction. Recently, SDN traffic prediction model enabled by deep learning mainly focuses on mining the temporal correlation of traffic data, while the modeling of its spatial correlation remains to be explored. From the perspective of the problem, a novel Spatial-Temporal Residual Graph Convolutional network (STRGCN) model for SDN Traffic Matrix (TM) prediction is proposed. Combined with SDN network topology, TM prediction is defined as time series data prediction in non-Euclidean space. Temporal Gated-Conv Blocks are based on Gated Convolutional Layer, and Spatial Graph-Conv Blocks are based on Graph Convolutional network (GCN). Through identity mapping between Spatial-Temporal Conv Blocks, the deep spatial and temporal features extraction is implemented. Tested by TM data from CERNET and GÉANT datasets, the accuracy and the timely performance of our model are evaluated. Experimental results suggest that the general performance of STRGCN for TM prediction in SDN is superior to the current deep learning models.

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A siamese network tracking algorithm based on hierarchical attention mechanism

A siamese network tracking algorithm based on hierarchical a...

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2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Zhang, Hu Hu, Dong Qiu, Yingcan Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing210003 China Nanjing University of Posts and Telecommunications Nanjing210003 China

A siamese network tracking algorithm based on hierarchical attention mechanism is proposed in this paper. In order to obtain more robust target tracking results, different layer features are fused effectively. In the process of extracting features, attention mechanism is used to recalibrate the feature map, and AdaBoost algorithm is used to weight the target feature map, which improves the reliability of the response map. Besides, the Inception module is also introduced which not only increases the width of the network and the adaptability of the siamese network to the scale, but also reduces the parameters and improves the speed of network training. Experimental results show that this method can effectively solve the impact of background clutter and improve the accuracy of tracking. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Target tracking

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An Incentive Mechanism Considering Privacy Metric for Personalized Application

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IEEE Transactions on Consumer Electronics 2025年

作者： Xie, Yun Li, Peng Zhang, Jindan Attar, Razaz Waheeb Arya, Varsha Gupta, Brij B. Nanjing Vocational College of Information Technology Jiangsu Province Service Customization Network Application Engineering Research Center Jiangsu Province Service Customization Network Application Engineering Research Center Nanjing210023 China Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210023 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210023 China Xianyang Polytechnic Institute China Princess Nourah bint Abdulrahman University College of Business Administration Management Department Riyadh11671 Saudi Arabia Hong Kong Metropolitan University Hong Kong Hong Kong Center for Interdisciplinary Research Dehradun India Asia University Department of Computer Science and Information Engineering Taichung413 Taiwan China Medical University Hospital China Medical University Department of Medical Research Taichung Taiwan Pune India Korea University School of Cybersecurity Seoul Korea Republic of Kyung Hee University Kyungheedae-ro Seoul26 Korea Republic of

Edge-based federated learning (EFL) is a solution for personalized applications. It addresses the limitations of cloud-based consumer service systems, such as data privacy and network latency. To further enhance the EFL system’s ability to protect data privacy, differential privacy (DP) is introduced. It is crucial to motivate high-quality collaboration among participants for optimal performance of the DP-EFL system. Researchers primarily focus on efficient learning algorithms, optimized resource scheduling, and user-oriented incentive mechanisms. Existing research exhibits notable limitations in modeling and analyzing the heterogeneity of resource costs (e.g., communication costs), particularly failing to comprehensively account for the additional costs imposed by participants’ privacy protection mechanisms‌. To address this gap, we propose a novel market transaction model based on Stackelberg game theory. This framework integrates incentive-driven reward allocation mechanisms to rigorously investigate the collaborative behaviors and strategic interactions between edge nodes (ENs) and the cloud server (CS)‌. We incorporate privacy costs into the multidimensional costs of participants with privacy metric, and based on this, derived collaboration strategies between ENs and CS, thus solving the Stackelberg game problem by theoretical analysis. Furthermore, numerical experiments validated the rationality of our proposed model, the impact of strategies on the performance of collaborators, and the advantages over other incentive mechanisms. © 2025 IEEE. All rights reserved.

关键词： Federated learning

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