检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Han, Aifu Zhang, Yongze Li, Ajuan Li, Changjin Zhao, Fengying Dong, Qiujie Liu, Qin Liu, Yanting Shen, Ximei Yan, Sunjie Zhou, Shengzong Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou China School of Data Science and Technology North University of China Taiyuan China Department of Endocrinology The First Affiliated Hospital of Fujian Medical University Fuzhou China Diabetes Research Institute of Fujian Province Fuzhou China School of Software and Microelectronics Peking University Beijing China

At present, the ubiquity method to diagnose the severity of diabetic feet (DF) depends on professional podiatrists. However, in most cases, professional podiatrists have a heavy workload, especially in underdeveloped and developing countries and regions, and there are often insufficient podiatrists to meet the rapidly growing treatment needs of DF patients. It is necessary to develop a medical system that assists in diagnosing DF in order to reduce part of the workload for podiatrists and to provide timely relevant information to patients with DF. In this paper, we have developed a system that can classify and locate Wagner ulcers of diabetic foot in real-time. First, we proposed a dataset of 2688 diabetic feet with annotations. Then, in order to enable the system to detect diabetic foot ulcers in real time and accurately, this paper is based on the YOLOv3 algorithm coupled with image fusion, label smoothing, and variant learning rate mode technologies to improve the robustness and predictive accuracy of the original algorithm. Finally, the refinements on YOLOv3 was used as the optimal algorithm in this paper to deploy into Android smartphone to predict the classes and localization of the diabetic foot with real-time. The experimental results validate that the improved YOLOv3 algorithm achieves a mAP of 91.95%, and meets the needs of real-time detection and analysis of diabetic foot Wagner Ulcer on mobile devices, such as smart phones. This work has the potential to lead to a paradigm shift for clinical treatment of the DF in the future, to provide an effective healthcare solution for DF tissue analysis and healing status. Copyright © 2020, The Authors. All rights reserved.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Method based on Near-infrared Videos

NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Meth...

引用

IEEE International Conference on Bioinformatics and Biomedicine

作者： Weijie Liu Guangyu Wang Anpeng Huang Ping Wang School of Software and Microelectronics Peking University Department of Computer Science and Technology Tsinghua University National Health Big-Data Institute Peking University

ISBN: (纸本)9781728118680

A Non-invasive blood Glucose Monitoring (NGM) method is desired for diabetes patients. Unfortunately, there is no practical NGM technique available for considering clinical accuracy requirements. One of the major causes is raised from the interferences of Environmental Background (EB) and Physiological Background (PB) noises. In this study, we propose a novel NGM method, called NIV-NGM. Based on the near-infrared video of a user's finger, NIV-NGM automatically separates the blood vessel and the background (other tissues) by an image segmentation algorithm and estimates the glucose level using features extracted from them. Compared with other NGM methods, NIV-NGM can differentiate the glucose-related information from the background, and also compensates for the measurement results due to the background noises. Clinical experimental results demonstrate that NIV-NGM is robust and immune from EB and PB noise influence, while can achieve the expected monitoring accuracy (Clarke (A) = 0.96).

关键词： Diabetes Non-invasive Blood glucose NIV-NGM Near-infrared video Blood Glucose Diabetes Mellitus blood glucose measurement image segmentation algorithm Blood Vessels Videotapes glucose level BACKGROUND Lead Noise BACKGROUND NOISE

来源：评论

学校读者我要写书评

暂无评论

Isospin-density dependent pairing from infinite nuclear matter to finite nuclei

arXiv

引用

arXiv 2020年

作者： Meng, Xu Zhang, Shisheng Guo, Lin Geng, Lisheng Cao, Ligang School of Physics Beihang University Beijing100191 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine and Engineering Beihan China School of Physics and Microelectronics Zhengzhou University ZhengzhouHenan450001 China College of Science and Technology Beijing Normal University Beijing100875 China

The effective isospin-density dependent pairing interaction (P1) [S. S. Zhang, U. Lombardo and E. G. Zhao, Sci. Chin. Phys. Mech. Astro. 54, 236 (2011)] extracted from neutron pairing gaps for 1S0 in asymmetric nuclear matter calculations [S. S. Zhang, L. G. Cao, U. Lombardo, et al. Phys. Rev. C 81, 044313 (2010)] is employed to study the bulk properties of Ca, Ni, Zr and Sn isotopes. The odd-even mass (OEM) staggering is calculated by the Skyrme Hartree-Fock plus BCS method (SHF + BCS) with the SkP interaction. For comparison, we study two other types of isovector effective pairing interactions. One is also extracted from pairing gaps of infinite nuclear matter by the Brueckner-Hartree-Fock (BHF) method but for free spectrum (P2). The other is obtained by fitting the empirical OEM (P3). An isoscalar effective pairing interaction (P4) is also adopted which is determined by fitting the empirical OEM. We find that interaction P1 can better describe the OEM staggering of Ni, Zr and Sn isotopes by 14.3%, 41%, 30.4% compared with interaction P2, in terms of root mean square deviations to the empirical OEM, respectively. On the other hand, the performance of P1 and P2 is comparable for Ca isotopes. For Ca and Ni isotopes, P1 behaves similarly as P3, but for Zr isotopes P1 is better than P3 by ∼ 34%. Among the four pairing interactions studied, P4 performs the worst. Therefore, one may conclude that for neutron pairings in finite nuclei, the isovector pairings are preferred than the isoscalar one. It is quite interesting to note that the pairing interaction P1 extracted from nuclear matter calculations can describe pairing gaps of finite nuclei as well as or even better than the interaction P3 directly fitted to finite nuclei. Copyright © 2020, The Authors. All rights reserved.

关键词： Isotopes

来源：评论

学校读者我要写书评

暂无评论

DDK system in finite volume

arXiv

引用

arXiv 2020年

作者： Pang, Jin-Yi Wu, Jia-Jun Geng, Li-Sheng College of Science University of Shanghai for Science and Technology Shanghai200093 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China School of Physics Beihang University Beijing100191 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine and Engineering Beihang University Beijing100191 China School of Physics and Microelectronics Zhengzhou University ZhengzhouHenan450001 China

The DDK 3-body system is supposed to be bound due to the strongly attractive interaction between the D meson and the K meson in the isospin zero channel. The minimum quark content of this 3-body bound state is ccq¯s¯ with q = u, d. It will be an explicitly exotic tetraquark state once discovered. In order to confirm the phenomenological study of the DDK system, we can refer to lattice QCD as a powerful theoretical tool parallel to the experiment measurement. In this paper, a 3-body quantization condition scheme is derived via the non-relativistic effective theory and the particle-dimer picture in finite volume. Lattice spectrum of this 3-body system is calculated within the existing model inputs. The spectrum shows various interesting properties of the DDK system, and it may reveal the nature of the D∗(2317). This predicated spectrum is expected to be tested in future lattice simulations. Copyright © 2020, The Authors. All rights reserved.

关键词： Hadrons

来源：评论

学校读者我要写书评

暂无评论

Strong decays of the Ξ(1620) as a ΛK¯ and ΣK¯ molecule

arXiv

引用

arXiv 2020年

作者： Huang, Yin Geng, Lisheng School of Physical Science and Technology Southwest Jiaotong University Chengdu610031 China School of Physics Beihang University Beijing102206 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China School of Physics and Microelectronics Zhengzhou University ZhengzhouHenan450001 China Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang University Beijing100191 China

In this work, we study the strong decays of the newly observed Ξ(1620)0 assuming that it is a meson-baryon molecular state of ΛK¯ and ΣK¯ . We consider four possible spin-parity assignments JP = 1/2± and 3/2± for the Ξ(1620)0, and evaluate its partial decay width into Ξπ via hadronic loops with the help of effective Lagrangians. In comparison with the Belle data, the calculated decay width favors the spin-party assignment 1/2− while the other spin-parity assignments do not yield a decay width consistent with data in the molecule picture. We find that about 52%-68% of the total width comes from the KΛ ¯ channel, while the rest is provided by the KΣ ¯ channel. As a result, both channels are important in explaining the strong decay of the Ξ(1620)0. This information is helpful to further understand the nature of the Ξ(1620)0. Copyright © 2020, The Authors. All rights reserved.

关键词： Hadrons

来源：评论

学校读者我要写书评

暂无评论

TCIM: Triangle counting acceleration with processing-in-MRAM architecture

arXiv

引用

arXiv 2020年

作者： Wang, Xueyan Yang, Jianlei Zhao, Yinglin Qi, Yingjie Liu, Meichen Cheng, Xingzhou Jia, Xiaotao Chen, Xiaoming Qu, Gang Zhao, Weisheng Fert Beijing Research Institute School of Microelectronics Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering University of Maryland College ParkMD United States

Triangle counting (TC) is a fundamental problem in graph analysis and has found numerous applications, which motivates many TC acceleration solutions in the traditional computing platforms like GPU and FPGA. However, these approaches suffer from the bandwidth bottleneck because TC calculation involves a large amount of data transfers. In this paper, we propose to overcome this challenge by designing a TC accelerator utilizing the emerging processing-in-MRAM (PIM) architecture. The true innovation behind our approach is a novel method to perform TC with bitwise logic operations (such as AND), instead of the traditional approaches such as matrix computations. This enables the efficient in-memory implementations of TC computation, which we demonstrate in this paper with computational Spin-Transfer Torque Magnetic RAM (STT-MRAM) arrays. Furthermore, we develop customized graph slicing and mapping techniques to speed up the computation and reduce the energy consumption. We use a device-to-architecture co-simulation framework to validate our proposed TC accelerator. The results show that our data mapping strategy could reduce 99.99% of the computation and 72% of the memory WRITE operations. Compared with the existing GPU or FPGA accelerators, our in-memory accelerator achieves speedups of 9× and 23.4×, respectively, and a 20.6× energy efficiency improvement over the FPGA accelerator. Copyright © 2020, The Authors. All rights reserved.

关键词： data transfer

来源：评论

学校读者我要写书评

暂无评论

Observation of magnetic droplets in magnetic tunnel junctions

arXiv

引用

arXiv 2020年

作者： Shi, Kewen Cai, Wenlong Jiang, Sheng Zhu, Daoqian Cao, Kaihua Guo, Zongxia Wei, Jiaqi Du, Ao Li, Zhi Huang, Yan Yin, Jialiang Åkerman, Johan Zhao, Weisheng Fert Beijing Institute School of Integrated Circuit Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Beihang-Goertek Joint Microelectronics Institute Qingdao Research Institute Beihang University Qingdao266000 China Department of Physics University of Gothenburg Gothenburg412 96 Sweden Department of Applied Physics School of Engineering Sciences KTH Royal Institute of Technology Electrum 229 KistaSE-16440 Sweden

Magnetic droplets, a class of highly non-linear magnetodynamical solitons, can be nucleated and stabilized in nanocontact spin-torque nano-oscillators where they greatly increase the microwave output power. Here, we experimentally demonstrate magnetic droplets in magnetic tunnel junctions (MTJs). The droplet nucleation is accompanied by a power increase of over 300 times compared to its ferromagnetic resonance modes. The nucleation and stabilization of droplets are ascribed to the double-CoFeB free layer structure in the all-perpendicular MTJ which provides a low Zhang-Li torque and a high pinning field. Our results enable better electrical sensitivity in the fundamental studies of droplets and show that the droplets can be utilized in MTJ-based applications. Copyright © 2020, The Authors. All rights reserved.

关键词： Spin dynamics

来源：评论

学校读者我要写书评

暂无评论

CNNLoc: Deep-Learning Based Indoor Localization with WiFi Fingerprinting

CNNLoc: Deep-Learning Based Indoor Localization with WiFi Fi...

引用

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Xudong Song Xiaochen Fan Xiangjian He Chaocan Xiang Qianwen Ye Xiang Huang Gengfa Fang Liming Luke Chen Jing Qin Zumin Wang College of Information Engineering Dalian University Dalian China School of Electrical and Data Engineering University of Technology Sydney Sydney Australia School of Software and Microelectronics Northwestern Polytechnical University China College of Computer Science Chongqing University Chongqing China School of Computer Science and Informatics De Montfort University United Kingdom

ISBN: (数字)9781728140346

ISBN: (纸本)9781728140353

With the ubiquitous deployment of wireless systems and pervasive availability of smart devices, indoor localization is empowering numerous location-based services. With the established radio maps, WiFi fingerprinting has become one of the most practical approaches to localize mobile users. However, most fingerprint-based localization algorithms are computationintensive, with heavy dependence on both offline training phase and online localization phase. In this paper, we propose CNNLoc, a Convolutional Neural Network (CNN) based indoor localization system with WiFi fingerprints for multi-building and multifloor localization. Specifically, we devise a novel classification model by combining a Stacked Auto-Encoder (SAE) with a onedimensional CNN. The SAE is utilized to precisely extract key features from sparse Received Signal Strength (RSS) data while the CNN is trained to effectively achieve high success rates in the positioning phase. We evaluate the proposed system on the UJIIndoorLoc dataset and Tampere dataset with several stateof-the-art methods. The results show CNNLoc outperforms the existing solutions with 100% and 95% success rates on buildinglevel localization and floor-level localization, respectively.

关键词： Training Wireless fidelity Buildings data models databases Machine learning Systems architecture

来源：评论

学校读者我要写书评

暂无评论

Finite-Size Scaling Theory at a Self-Dual Quantum Critical Point

arXiv

引用

arXiv 2019年

作者： Zhang, Long Ding, Chengxiang Kavli Institute for Theoretical Sciences Cas Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing100190 China School of Microelectronics & Data Science Anhui University of Technology Anhui Maanshan243002 China

The nondivergence of the generalized Grüneisen ratio (GR) at a quantum critical point (QCP) has been proposed to be a universal thermodynamic signature of self-duality. In this work, we study how the Kramers-Wannier-type self-duality manifests itself in the finite-size scaling behavior of thermodynamic quantities in the quantum critical regime. While the self-duality cannot be realized as a unitary transformation in the total Hilbert space for the Hamiltonian with the periodic boundary condition, it can be implemented in certain symmetry sectors with proper boundary conditions. Therefore, the GR and the transverse magnetization of the one-dimensional transverse-field Ising model exhibit different finite-size scaling behaviors in different sectors. This implies that the numerical diagnosis of self-dual QCP requires identifying the proper symmetry sectors. Copyright © 2019, The Authors. All rights reserved.

关键词： Hamiltonians

来源：评论

学校读者我要写书评

暂无评论

Representation learning with ordered relation paths for knowledge graph completion

arXiv

引用

arXiv 2019年

作者： Zhu, Yao Liu, Hongzhi Wu, Zhonghai Song, Yang Zhang, Tao Center for Data Science Peking University Beijing China School of Software and Microelectronics Peking University Beijing China National Engineering Center of Software Engineering Peking University Beijing China Peking University Beijing China BossZhipin NLP Center @*** Beijing China

Incompleteness is a common problem for existing knowledge graphs (KGs), and the completion of KG which aims to predict links between entities is challenging. Most existing KG completion methods only consider the direct relation between nodes and ignore the relation paths which contain useful information for link prediction. Recently, a few methods take relation paths into consideration but pay less attention to the order of relations in paths which is important for reasoning. In addition, these path-based models always ignore nonlinear contributions of path features for link prediction. To solve these problems, we propose a novel KG completion method named OPTransE. Instead of embedding both entities of a relation into the same latent space as in previous methods, we project the head entity and the tail entity of each relation into different spaces to guarantee the order of relations in the path. Meanwhile, we adopt a pooling strategy to extract nonlinear and complex features of different paths to further improve the performance of link prediction. Experimental results on two benchmark datasets show that the proposed model OPTransE performs better than state-of-the-art methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Knowledge graph

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：