检索结果-内蒙古大学图书馆

Computational Optical Sensing and Imaging, COSI 2019

作者： Chang, Chen Yang, Dongyue Li, Junhui Wu, Guohua Luo, Bin Yin, Longfei Guo, Hong School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China

In ghost imaging with pseudo-thermal light, Hessian enhancement filter is applied in reference measurements to improve the image quality by reducing the motion blur caused by improper exposure settings at short cohere... 详细信息

ISBN: (纸本)9781943580637

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

An Ultra-compact Broadband TE-pass Nanofocusing Structure

An Ultra-compact Broadband TE-pass Nanofocusing Structure

引用

Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Kejian Zhu Xu Pengfei Pengfei Sun Xingpeng Liu Haiou Li Zhiping Zhou Nano-optoelectronics Frontier Center of Ministry of Education Peking University Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology Guilin China

We propose a broadband structure which integrates polarization and nanofocusing functions into a single device with 3.8x4 μm 2 footprint. The bandwidth is over 200 nm with insert loss (IL) smaller than 1.68 dB. ... 详细信息

ISBN: (数字)9781943580828

ISBN: (纸本)9781728176567

关键词： Bandwidth Nanoscale devices Optical fiber communication Broadband communication System-on-chip Photonics Periodic structures

来源：评论

学校读者我要写书评

暂无评论

Cloud-based autonomous indoor navigation: A case study

arXiv

引用

arXiv 2019年

作者： Baroudi, Uthman Alharbi, M. Alhouty, K. Baafeef, H. Alofi, K. Wireless Sensor and Robotic Networks Laboratory Computer Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

In this case study, we design, integrate and implement a cloud-enabled autonomous robotic navigation system. The system has the following features: map generation and robot coordination via cloud service and video streaming to allow online monitoring and control in case of emergency. The system has been tested to generate a map for a long corridor using two modes: manual and autonomous. The autonomous mode has shown more accurate map. In addition, the field experiments confirm the benefit of offloading the heavy computation to the cloud by significantly shortening the time required to build the map. Copyright © 2019, The Authors. All rights reserved.

关键词： Indoor positioning systems

来源：评论

学校读者我要写书评

暂无评论

Using Physical Layer Network Coding to Improve NOMA System Throughput with Energy Harvesting Users

Using Physical Layer Network Coding to Improve NOMA System T...

引用

2019 IEEE Global Communications Conference (GLOBECOM)

作者： Somayeh Khosroazad Sonia Naderi Ali Abedi Electrical and Computer Engineering Dept. Wireless Sensor Networks (WiSe-Net) Laboratory University of Maine Orono ME USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

The aim of this paper is to improve the performance of an energy harvesting (EH) system under millimeter wave (mm-wave) massive MIMO (Multiple Input Multiple Output) structure, as beneficial incorporation in beyond 5G. We consider a power splitting structure for this EH system, which has the best trade-off between transferred energy and data rate. However, it is shown that in such systems the use of Successive Interference Cancellation (SIC) method alone, the minimum probability of error requirements for the systems with more users than Radio Frequency (RF) chains may not be attained. Therefore, new schemes with control strategies over intra-beam interference to achieve an acceptable symbol error rate (SER) for multiple users in the same beam is still a vacancy to be studied in particular for the dense 5G networks. The proposed EH system is using a new Superposition Code (SC) based on Physical Layer Network Coding (PLNC) concept to dramatically improve the throughput and harvested energy for a specific signal to noise ratio (SNR). As the second goal, two beamforming optimization approaches are also suggested. The simulations result indicates that the uniform beamforming performance is acceptable if avoiding the high complexity is desired.

关键词： Radio frequency MIMO communication Interference Array signal processing Throughput 5G mobile communication Silicon carbide

来源：评论

学校读者我要写书评

暂无评论

Multi-task learning for object keypoints detection and classification

引用

Pattern Recognition Letters 2020年 130卷 182-188页

作者： Jie Xu Lin Zhao Shanshan Zhang Chen Gong Jian Yang PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China State Key Laboratory of Integrated Services Networks Xidian Univeristy Xi’an 710071 China

Object keypoints detection and classification are both central research topics in computer vision . Due to their wide range potential applications in the real world, substantial efforts have been taken to advance their performance. However, these two related tasks are mainly treated separately in previous works. We argue that keypoints detection and classification can be complementary tasks and beneficial to each other. Knowing the category of a object is able to reduce the searching space of keypoints detection models and facilitate more precise localization . On the other hand, having the knowledge of object keypoints can make classification models pay more attention on areas that are more associated with the object, which will inevitably promote classification accuracy . Embracing this observation, we propose to model keypoints detection and classification in a multi-task learning framework. Specifically, a multi-task deep network is designed and trained to conduct both tasks, where we devise the model structure delicately to carry out sufficient training of both tasks. Extensive experiments are set up on the AIFASHION DATASET and Human3.6M DATASET to validate our proposal, we show that our algorithm outperforms separate models trained individually on each task.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3D Geometry-Based UAV-MIMO Channel Modeling and Simulation

引用

China Communications 2018年第12期15卷 64-74页

作者： Rubing Jia Yiran Li Xiang Cheng Bo Ai State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University School of electronic and information engineering of Beijing Jiaotong University Beijing Jiaotong University

A more general narrowband regular-shaped geometry-based statistical model(RS-GBSM) combined with the line of sight(LoS) and single bounce(SB) rays for unmanned aerial vehicle(UAV) multiple-input multiple-output(MIMO) channel is proposed in this paper. The channel characteristics, including space-time correlation function(STCF), Doppler power spectral density(DPSD), level crossing rate(LCR) and average fade duration(AFD), are derived based on the single sphere reference model for a non-isotropic environment. The corresponding sum-of-sinusoids(SoS) simulation models including both the deterministic model and statistical model with finite scatterers are also proposed for practicable implementation. The simulation results illustrate that the simulation models well reproduce the channel characteristics of the single sphere reference model with sufficient simulation scatterers. And the statistical model has a better approximation of the reference model in comparison with the deterministic one when the simulation trials of the stochastic model are sufficient. The effects of the parameters such as flight height, moving direction and Rice factor on the characteristics are also studied.

关键词： UAV-MIMO geometry-based model channel characteristics simulation model

来源：评论

学校读者我要写书评

暂无评论

Finite-size analysis of continuous variable source-independent quantum random number generation

arXiv

引用

arXiv 2020年

作者： Zhang, Junyu Zhang, Yichen Zheng, Ziyong Chen, Ziyang Xu, Bingjie Yu, Song State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

We study the impact of finite-size effect on continuous variable source-independent quantum random number generation. The central-limit theorem and maximum likelihood estimation theorem are used to derive the formula which could output the statistical fluctuations and determine upper bound of parameters of practical quantum random number generation. With these results, we can see the check data length and confidence probability has intense relevance to the final randomness, which can be adjusted according to the demand in implementation. Besides, other key parameters, such as sampling range size and sampling resolution, have also been considered in detail. It is found that the distribution of quantified output related with sampling range size has significant effects on the loss of final randomness due to finite-size effect. The overall results indicate that the finite-size effect should be taken into consideration for implementing the continuous variable source-independent quantum random number generation in practical. Copyright © 2020, The Authors. All rights reserved.

关键词： Random number generation

来源：评论

学校读者我要写书评

暂无评论

Smart Sensing for Container Trucks

Smart Sensing for Container Trucks

引用

International Conference on Big Data Computing and Communications (BIGCOM)

作者： Chengyuan Xu Bin Zhao Rongwei Yang Bingyi Liu Jianping Wang Jinfan Wang Department of Computer Science City University of Hong Kong Kowloon Hong Kong SAR Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh United States Research Center for Network Communication Peng Cheng Laboratory Shenzhen China School of Computer Science and Technology Wuhan University of Technology Wuhan China Institute of Future Networks Southern University of Science and Technology Shenzhen China

ISBN: (数字)9781728182759

ISBN: (纸本)9781728182766

Container logistics is a typical logistics model with complex business processes. In recent years, operation optimization in logistics is identified as significant in cutting labor costs and boosting productivity. To implement operation optimization in container logistics, the accurate load measuring and operational situation information are the prerequisites. However, the current labor-driven measurement and situation recognition suffer from inevitable delays, errors, and expenses. To tackle these challenges, the authors propose a smart sensing system that intelligently achieves the container load measurement and operational situation recognition. In this paper, the authors present a novel approach for load measurement and the design of an edge-computing-powered controller. The kNN (k-Nearest Neigh-bor) has been introduced to develop an Operational Situation Recognition (OSR) model. The authors realize and implement the smart sensing system in the production environment. Rigorous analysis and prototype evaluations demonstrate the effectiveness of the proposed system.

关键词： Containers Logistics Sensors Load modeling Machine learning Atmospheric measurements

来源：评论

学校读者我要写书评

暂无评论

A practical guide to machine learning interatomic potentials – Status and future

arXiv

引用

arXiv 2025年

作者： Jacobs, Ryan Morgan, Dane Attarian, Siamak Meng, Jun Shen, Chen Wu, Zhenghao Xie, Clare Yijia Yang, Julia H. Artrith, Nongnuch Blaiszik, Ben Ceder, Gerbrand Choudhary, Kamal Csanyi, Gabor Cubuk, Ekin Dogus Deng, Bowen Drautz, Ralf Fu, Xiang Godwin, Jonathan Honavar, Vasant Isayev, Olexandr Johansson, Anders Kozinsky, Boris Martiniani, Stefano Ong, Shyue Ping Poltavsky, Igor Schmidt, K.J. Takamoto, So Thompson, Aidan Westermayr, Julia Wood, Brandon M. Department of Materials Science and Engineering University of Wisconsin-Madison MadisonWI55705 United States Harvard University Center for the Environment Harvard University CambridgeMA02138 United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Materials Chemistry and Catalysis Debye Institute for Nanomaterials Science Utrecht University Utrecht3584 CG Netherlands Globus University of Chicago ChicagoIL United States Data Science and Learning Division Argonne National Laboratory LemontIL United States Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory CA94720 United States Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Google DeepMind Mountain ViewCA United States Ruhr-Universität Bochum Bochum44780 Germany Meta United States Orbital Materials London United Kingdom Department of Computer Science and Engineering The Pennsylvania State University University ParkPA United States College of Information Sciences and Technology The Pennsylvania State University University ParkPA United States Artificial Intelligence Research Laboratory The Pennsylvania State University University ParkPA United States Center for Artificial Intelligence Foundations and Scientific Applications The Pennsylvania State University University ParkPA United States Department of Chemistry Mellon College of Science Carnegie Mellon University PittsburghPA15213 United States Computational Biology Department School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Courant Institute of Mathematical Sciences New York University New YorkNY10003 United States Center for Soft Matter Research Department of P

The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not experts but wish to use these tools. The spirit of this review is to help such researchers by serving as a practical, accessible guide to the state-of-the-art in MLIPs. This review paper covers a broad range of topics related to MLIPs, including (i) central aspects of how and why MLIPs are enablers of many exciting advancements in molecular modeling, (ii) the main underpinnings of different types of MLIPs, including their basic structure and formalism, (iii) the potentially transformative impact of universal MLIPs for both organic and inorganic systems, including an overview of the most recent advances, capabilities, downsides, and potential applications of this nascent class of MLIPs, (iv) a practical guide for estimating and understanding the execution speed of MLIPs, including guidance for users based on hardware availability, type of MLIP used, and prospective simulation size and time, (v) a manual for what MLIP a user should choose for a given application by considering hardware resources, speed requirements, energy and force accuracy requirements, as well as guidance for choosing pre-trained potentials or fitting a new potential from scratch, (vi) discussion around MLIP infrastructure, including sources of training data, pre-trained potentials, and hardware resources for training, (vii) summary of some key limitations of present MLIPs and current approaches to mitigate such limitations, including methods of including long-range interactions, handling magnetic systems, and treatment of excited states, and finally (viii) we finish with some more speculative thoughts on what the future holds for the development and application of MLIPs over the next 3-10+ years. © 2025, CC BY.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Power Control for SISO Interference Channel networks Based on Successive Convex Approximation

Research Square

引用

Research Square 2020年

作者： Mao, Ruina Yu, Jiguo Dong, Anming Wang, Yue Huang, Baogui School of Information Science and Engineering Qufu Normal University Yantai Road Shandong Rizhao276826 China School of Computer Science and Technology Qilu University of Technology Shandong Academy of Sciences University Road Shandong Jinan250353 China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center National Supercomputer Center in Jinan Xinluo Street Shandong Jinan250014 China

Interference channel (IC) is a classical model used to characterize the effect of interference for many real-life communication systems. In this paper, we consider a sum rate maximization problem subject to maximum power restriction at each transmitter for a single-input single-output (SISO) IC network. The considered power control problem is typically a nonconvex problem which is hard to solve directly. We propose a solving algorithm for this power control problem based on successive convex approximation (SCA). Specifically, we first reformulate the original nonconvex objective function as the difference of two concave (D.C.) functions near a given point in the feasible region of the solution space. After that, we construct a convex substitute function for the D.C. objective by approximating its second concave function with the one-order Taylor expansion. The problem is further reformulated as an unconstrained problem by transforming the constraints as a barrier function. This unconstrained problem is then solved iteratively using Newton’s method. We update the substitute function given the newly obtained solution, near which the one-order Taylor expansion is performed again. This process is then repeated until a smooth point is reached. Simulation results show the effectiveness of the proposed SCA-based power control algorithm. © 2020, CC BY.

关键词： Power control

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：