检索结果-内蒙古大学图书馆

Playdough-like carbon electrode: A promising strategy for high efficiency perovskite solar cells and modules

escience 2024年第2期4卷 101-107页

作者： Aodong Zhu Lin Chen Ao Zhang Chenpu Zhu Xinxin Zhang Jie Zhong Fuzhi Huang Yi-Bing Cheng Junyan Xiao School of Materials Science and Engineering Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina State Key Laboratory of Advanced Technologies for Materials Synthesis and Processing Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina School of Chemistry and Chemical Engineering Huazhong University of Science and Technology1037 Luoyu RoadWuhanHubeiChina Research Centre for Advanced Thin Film Photovoltaics Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina Jinan Municipal Bureau of Industry and Information Technology JinanShandongChina

Carbon-based perovskite solar cells(C-PSCs)are promising candidates for large-scale photovoltaic applications due to their theoretical low cost and high ***,the fabrication of high-performance C-PSCs with large-area electrodes remains *** this work,we propose a novel playdough-like graphite putty as top electrode in the perovskite *** electrode with soft nature can form good contact with the holetransporting layer and the conductive substrate at room temperature by a simple pressing technique,which facilitates the fabrication of both small-area devices and perovskite solar *** this preliminary research,the corresponding small devices and modules can achieve efficiencies of 20.29%(~0.15 cm^(2))and 16.01%(~10 cm^(2)),***,we analyze the limitations of the optical and electrical properties of this playdough-like graphite electrode on the device performance,suggesting a direction for further improvement of C-PSCs in the future.

关键词： Perovskite solar cells Large-area module Carbon electrode Conductive playdough

来源：评论

学校读者我要写书评

暂无评论

A Facial Expression Recognition Method based on Residual Separable Convolutional Neural Network

Journal of Network Intelligence

引用

Journal of Network Intelligence 2022年第1期7卷 59-69页

作者： Xu, Xiaoyu Cui, Jianfeng Chen, Xuhui Chen, Chin-Ling College of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China College of Software Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Internet of things application technology Xiamen361024 China Xiamen City University of Technology Xiamen361024 China School of Computer and Information Engineering Xiamen City University of Technology Xiamen361024 China School of Information Engineering Changchun Sci-Tech University Changchun130600 China Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung41349 Taiwan

Facial expression recognition is a typical application of artificial intelligence. It has practical value and commercial prospects in application scenarios such as safe driving, medical assistance, online classrooms, and human-computer interaction. Traditional convolutional neural networks have low accuracy in facial expression recognition. To solve this problem, we propose a residual separable convolutional neural network, which combines depth-wise separable convolution with an improved residual network. When transmitting feature information, it fuses facial expression features through skip connection and utilizes global average pooling to reduce dimension, thus preventing gradient disappearance. We conduct experiments based on the data set FER2013. The results show that it can improve the accuracy of facial expression recognition, reduce model parameters and raise the utilization efficiency of the parameters effectively. © The Authors.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Optical scrambler using WGM micro-bottle cavity

引用

Chinese Optics Letters 2023年第6期21卷 6-10页

作者：常朋发王晨蒋涛王龙生赵彤高华贾志伟郭园园王云才王安帮 Key Laboratory of Advanced Transducers&Intelligent Control Systems Ministry of Education and Shanxi ProvinceCollege of Physics&Optoelectronic EngineeringTaiyuan University of TechnologyTaiyuan 030024China Guangdong Provincial Key Laboratory of Photonics Information Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 510006China

An optical scrambler using a whispering-gallery-mode[WGM]micro-bottle cavity to scramble a complex optical signal to generate an uncorrelated output is *** experimentally demonstrated this micro-cavity scrambler by using chaotic laser light as the incident signal and studied the influence of the coupling *** achieved full scrambling with a low cross correlation of 0.028 between the output and the *** indicate that the scrambling effect originates from the interference among numerous WGMs in the bottle *** is believed that the micro-bottle cavity with an efficient scrambling function can become a promising candidate for encryption.

关键词： scrambler encryption whispering gallery mode micro-bottle cavity secure communication

来源：评论

学校读者我要写书评

暂无评论

Design of a High Efficiency Miniaturized W-band Pulsed Traveling-Wave Tube 24

Design of a High Efficiency Miniaturized W-band Pulsed Trave...

引用

24th International Vacuum Electronics Conference, IVEC 2023

作者： Shang, Xinwen Deng, Wenkai Yi, Hongxia Cui, Xiaodong Wang, Zicheng Zhao, Jiandong Xiao, Liu Ma, Jing Jin, Feng Li, Fei Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China School of electronic science and engineering University of electronic science and technology of China National Key Laboratory of Science and Technology on Vacuum Electronics Chengdu611731 China

ISBN: (纸本)9781665473217

In this paper, a high efficiency miniaturized pulsed traveling-wave tube (TWT) at W-band is designed by using the folded waveguide as the slow-wave structure. The output power, gain, and electronic efficiency are guaranteed by using velocity-step technology. Then a three-stage depressed collector is designed to achieve efficient recovery of the electron beam after the beam wave interaction. In the simulation design, the output power is more than 133W with gain of up to 34.2dB at 90GHz to 100GHz. Meanwhile, the design scheme achieves electronic efficiency of up to 8.7% and collector efficiency of up to 91.86% over the operating bandwidth, which means that the total efficiency is expected to reach 35.8%. © 2023 IEEE.

关键词： Slow wave structures

来源：评论

学校读者我要写书评

暂无评论

Effectiveness of Using Deep Learning for Blister Blight Identification in Sri Lankan Tea

Effectiveness of Using Deep Learning for Blister Blight Iden...

引用

2023 International Research Conference on Smart Computing and systems engineering, SCSE 2023

作者： Hewawitharana, G.H.A.U. Nawarathne, U.M.L.A. Hassan, A.S.F. Wijerathna, Lochana M. Sinniah, G.D. Vidhanaarachchi, Samitha P. Wickramarathne, Jagath Wijekoon, Janaka L. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Tea Research Institute of Sri Lanka Plant Pathology Division Talawakelle Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Military Technological College Systems Engineering Department Muscat Oman

ISBN: (纸本)9798350341454

Ceylon tea industry faces a major challenge in the form of pathogen-induced crop loss, with Blister Blight (BB) caused by Exobasidium vexans posing the greatest threat, leading to harvest losses of over 30%. This fungus attacks the tender tea shoots, resulting in a direct negative impact on the tea harvest. This paper presents a system to identify the suspicious tea leaves and BB disease at its early stages along with an assessment of severity, offering a potential solution to this critical issue. By utilizing real-time object detection, the system filters out non-tea leaves from the captured initial image of a segment of a tea plant. The identified tea leaves are then subjected to BB identification and severity assessment based on differing visual symptoms of the BB stages. This approach enables the system to accurately identify BB in the initial stage and severity stage, allowing for timely and targeted intervention to minimize crop losses. The YOLOv8 model has been able to correctly identify 98% of the objects it has detected as relevant (precision), and it has been able to correctly identify 96% of all the relevant objects present in the scene (recall). The Residual Network 50 (Resnet50) convolutional neural network (CNN) model was selected as the final model, achieving an accuracy of 89.90% during the training phase and an accuracy of 88.26% during the testing phase. © 2023 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

The triggering of catalysis via structural engineering at atomic level: Direct propane dehydrogenation on Fe-N_(3)P-C

引用

Chinese Chemical Letters 2023年第3期34卷 442-446页

作者： Wenyi Bian Xueli Shen Huang Tan Xing Fan Yunxia Liu Haiping Lin Youyong Li Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou 215123China School of Physics and Information Technology Shaanxi Normal UniversityXi’an 710062China Macao Institute of Materials Science and Engineering Macao University of Science and TechnologyMacaoChina

The on-purpose direct propane dehydrogenation(PDH) has received extensive attention to meet the everincreasing demand of *** this work,by means of density functional theory(DFT) calculations,we systematically studied the intrinsic coordinating effect of Fe single-atom catalysts in ***,the N and P dual-coordinated single Fe(Fe-N_(3)P-C) significantly outperform the Fe-N_(4-)C site in catalysis and exhibit desired activity and selectivity at industrial PDH *** mechanistic origin of different performance on Fe-N_(3)P-C and Fe-N_(4-)C has been ascribed to the geometric *** be specific,the in-plane configuration of Fe-N_(4) site exhibits low H affinity,which results in poor activity in C-H bond *** contrast,the out-of-plane structure of Fe-N_(3)P-C site exhibits moderate H affinity,which not only promote the C-H bond scission but also offer a platform for obtaining appropriate H diffusion rate which ensures the high selectivity of propylene and the regeneration of *** work demonstrates promising applications of dual-coordinated single-atom catalysts for highly selective propane dehydrogenation.

关键词： Non-oxidative propane dehydrogenation Propylene selectivity Single-atom catalysis Heteroatom-doped graphene Fe catalyst

来源：评论

学校读者我要写书评

暂无评论

Self-Powered Clamp-On Pyroelectric Tactile Sensor for Intelligent Recognition of Film Materials

引用

SusMat 2025年第1期5卷 111-121页

作者： Shengjie Yin Hongyu Li Yun Ji Yuke Li Chris R.Bowen Ya Yang Beijing Key Laboratory of Micro-Nano Energy and Sensor Center for High-Entropy Energy and SystemsBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijingChina School of Nanoscience and Technology University of Chinese Academy of SciencesBeijingChina Center on Nanoenergy Research Institute of Science and Technology for Carbon Peak&NeutralityGuangxi UniversityNanningChina Key Laboratory of Blue Energy and Systems Integration(Guangxi University) Education Department of Guangxi Zhuang Autonomous RegionGuangxi UniversityNanningChina School of Physical Science&Technology Guangxi UniversityNanningChina Department of Mechanical Engineering University of BathBathUK

Tactile sensors are a potential solution for material ***,current potential tactile sensors for material identification are pressed,expensive,and *** we report a clamped-on pyroelectric tactile sensor on the basis of a ferroelectric Bi_(0.5)Na_(0.5)TiO_(3) material to identify different film *** fabricated device exhibits different heat absorption capacities while in contact with different materials,leading to a different temperature change in the ferroelectric material under the same *** a result,the device can recognize different materials by comparing the pyroelectric charge via integrating the obtained current under the same irradiation of 365nmlight-emitting *** clamped-on pyroelectric tactile sensor can identify six individual materials with a high accuracy of 98.8%and a fast response of 40 *** of the above processes can be accomplished with an intelligent material identification *** device provides a new solution for material identification and lays a foundation for smart factories and laboratories.

关键词： Bi_(0.5)Na_(0.5)TiO_(3)(BNT) material identification pyroelectric effect tactile sensor

来源：评论

学校读者我要写书评

暂无评论

Fundamental Limitation of Semantic Communications:Neural Estimation for Rate-Distortion

引用

Journal of Communications and information Networks 2023年第4期8卷 303-318页

作者： Dongxu Li Jianhao Huang Chuan Huang Xiaoqi Qin Han Zhang Ping Zhang School of Science and Engineering and the Fu-ture Network of Inelligence Institute the Chinese University of Hong KongShenzhen 518172China Department of Electrical and Electronic Engineering the University of Hong KongHong Kong 999077China School of Information and Communication Engineering and the State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

This paper studies the fundamental limit of semantic communications over the discrete memoryless *** consider the scenario to send a semantic source consisting of an observation state and its corresponding semantic state,both of which are recovered at the *** derive the performance limitation,we adopt the semantic rate-distortion function(SRDF)to study the relationship among the minimum compression rate,observation distortion,semantic distortion,and channel *** the case with unknown semantic source distribution,while only a set of the source samples is available,we propose a neural-network-based method by leveraging the generative networks to learn the semantic source ***,for a special case where the semantic state is a deterministic function of the observation,we design a cascade neural network to estimate the *** the case with perfectly known semantic source distribution,we propose a general Blahut-Arimoto(BA)algorithm to effectively compute the ***,experimental results validate our proposed algorithms for the scenarios with ideal Gaussian semantic source and some practical datasets.

关键词： Semantic communications semantic ratedistortion generative network Blahut-Arimoto algorithm

来源：评论

学校读者我要写书评

暂无评论

THz Optical Image Recognition Method via AM-Res2Net Model

THz Optical Image Recognition Method via AM-Res2Net Model

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Song, Jiazhen Xi, Sixing Guan, Xun Zhang, Xiao-Ping Wang, Xiaolei Liu, Zhenyu Tsinghua Shenzhen International Graduate School Institute of Data and Information Shenzhen China Hebei University of Engineering School of Mathematics and Physics Handan China Nankai University Institute of Modern Optics Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology College of Electronic Information and Optical Engineering Tianjin China

ISBN: (纸本)9798350351255

Terahertz (THz) waves possess great properties such as ultra-large bandwidth, good penetration, strong reflectivity to metallic materials, and low photon energy, making them widely applicable in fields such as optical communication, optical networks, and optical imaging. Therefore, THz optical imaging, as a novel non-destructive testing technology, demonstrates significant application value in areas such as body security scanning. However, existing THz imaging systems require that targets be close to the detector in order to avoid issues like visible stripes, increased noise, reduced contrast, and blurred edges, which can significantly reduce the quality of imaging results. To solve this problem, this study proposes an AM-Res2Net model to achieve accurate THz optical image recognition. The proposed model, compared with the Res2Net model, uses multiple small kernel convolutions to replace a single large kernel convolution. Furthermore, the proposed model also replaces the activation function and introduces the attention mechanism in the residual structure. The AM-Res2Net model tested on the THz optical image set constructed in this study achieved a recognition accuracy of 94.3%, which is higher than the ResNet and Res2Net models. © 2024 IEEE.

关键词： Optical tomography

来源：评论

学校读者我要写书评

暂无评论

A Simulation Assessment Method of Phased-Mission Reliability Considering Maintenance 12

A Simulation Assessment Method of Phased-Mission Reliability...

引用

12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2022

作者： Zhu, He-Xuan Yuan, Hong-Jie Zeng, Sheng-Kui School of Reliability and Systems Engineering Science and Technology on Reliability and Environment Engineering Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9781839538360

Considering the characteristics of muti-phased mission and repair of warship system, there are difficulties in the application of traditional solution methods to model and evaluate the system reliability. A simulation strategy combined with the state transition algorithm based on Monte Carlo method is proposed to calculate ship mission reliability. The mission reliability simulation is demonstrated with three examples and a complex warship system to verify the feasibility and accuracy of the method. The results suggest that the simulation model built in this paper is credible and has certain guiding significance for the design and improvement of warship task allocation. © 2022 IEEE.

关键词： Warships

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：