检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4,533 篇 会议
89 篇 期刊文献
35 册 图书

馆藏范围

4,657 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,720 篇 工学
- 1,289 篇 计算机科学与技术...
- 848 篇 电气工程
- 693 篇 信息与通信工程
- 615 篇 软件工程
- 473 篇 控制科学与工程
- 369 篇 仪器科学与技术
- 293 篇 测绘科学与技术
- 244 篇 机械工程
- 240 篇 电子科学与技术（可...
- 189 篇 材料科学与工程（可...
- 137 篇 动力工程及工程热...
- 128 篇 交通运输工程
- 128 篇 航空宇航科学与技...
- 115 篇 光学工程
- 95 篇 土木工程
- 89 篇 安全科学与工程
- 84 篇 建筑学
- 84 篇 化学工程与技术
- 75 篇 生物医学工程（可授...
- 56 篇 石油与天然气工程
1,243 篇 理学
- 906 篇 物理学
- 220 篇 数学
- 117 篇 化学
- 70 篇 系统科学
- 53 篇 生物学
363 篇 管理学
- 306 篇 管理科学与工程(可...
- 104 篇 工商管理
- 96 篇 图书情报与档案管...
172 篇 医学
- 152 篇 临床医学
43 篇 经济学
39 篇 军事学
20 篇 法学
20 篇 农学
10 篇 教育学
4 篇 文学
2 篇 艺术学

主题

689 篇 wireless sensor ...
384 篇 sensor systems
251 篇 robot sensing sy...
249 篇 sensors
247 篇 real-time system...
209 篇 monitoring
201 篇 wireless communi...
153 篇 sensor phenomena...
117 篇 temperature sens...
116 篇 internet of thin...
112 篇 control systems
98 篇 cameras
90 篇 protocols
90 篇 accuracy
86 篇 sensor
83 篇 sensor systems a...
82 篇 intelligent sens...
81 篇 sensor fusion
79 篇 temperature meas...
79 篇 energy consumpti...

机构

11 篇 vsb tech univ os...
9 篇 shenzhen institu...
9 篇 department of in...
8 篇 graduate school ...
8 篇 vsb tech univ os...
6 篇 department of la...
6 篇 beijing inst tec...
6 篇 tianjin univ col...
6 篇 jilin univ coll ...
6 篇 tokyo denki univ...
6 篇 beijing univ tec...
6 篇 tsinghua univ de...
5 篇 mcq inc frederic...
5 篇 korea advanced i...
5 篇 vienna univ tech...
5 篇 fraunhofer izm
5 篇 northeastern uni...
5 篇 harbin engn univ...
5 篇 shenzhen institu...
5 篇 tianjin univ min...

作者

14 篇 liu tiegen
13 篇 leonard barolli
11 篇 daeyoung kim
11 篇 barolli leonard
10 篇 jiang junfeng
9 篇 arjan durresi
9 篇 martinek radek
8 篇 zhang min
8 篇 schmid u.
8 篇 popescu dan
8 篇 jargus jan
7 篇 pang fufei
7 篇 zheng jie
7 篇 wang tingyun
7 篇 yuan libo
7 篇 wang shuang
7 篇 fajkus marcel
6 篇 dahiya ravinder
6 篇 nedoma jan
6 篇 ikeda makoto

语言

4,564 篇 英文
62 篇 其他
38 篇 中文

检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

共 4657 条记录，以下是4611-4620 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

RASS: A real-time, accurate and scalable system for tracking transceiver-free objects

RASS: A real-time, accurate and scalable system for tracking...

引用

IEEE International conference on Pervasive Computing and Communications (PerCom)

作者： Dian Zhang Yunhuai Liu Lionel M. Ni College of Software Shenzhen University China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China Shenzhen Institutes of Advanced Technology Chinese Academy and Sciences China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiaotong University China

Transceiver-free object tracking is to trace a moving object without carrying any communication device in an environment where the environment is pre-deployed with some monitoring nodes. Among all the tracking technologies, RF-based technology is an emerging research field facing many challenges. Although we proposed the original idea, until now there is no method achieving scalability without sacrificing latency and accuracy. In this paper, we put forward a real-time tracking system RASS, which can achieve this goal and is promising in the applications like the safeguard system. Our basic idea is to divide the tracking field into different areas, with adjacent areas using different communication channels. So the interference among different areas can be prevented. For each area, three communicating nodes are deployed on the ceiling as a regular triangle to monitor this area. In each triangle area, we use a Support Vector Regression (SVR) model to locate the object. This model simulates the relationship between the signal dynamics caused by the object and the object position. It not only considers the ideal case of signal dynamics caused by the object, but also utilizes their irregular information. As a result it can reach the tracking accuracy to around 1m by just using three nodes in a triangle area with 4m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26s. Our system scales well to a large deployment field without sacrificing the latency and accuracy.

关键词： Accuracy Wireless communication Wireless sensor networks Interference Lead Synchronization Predictive models

来源：评论

学校读者我要写书评

暂无评论

Towards nanoreliability of CNT-based sensor applications: Investigations of CNT-metal interfaces combining molecular dynamics simulations, advanced in situ experiments and analytics

Towards nanoreliability of CNT-based sensor applications: In...

引用

Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-systems EuroSimE

作者： Steffen Hartmann Alexey Shaporin Sascha Hermann Jens Bonitz Marc Heggen Peter Meszmer Heinz Sturm Ole Hölck Thomas Blaudeck Stefan E. Schulz Jan Mehner Thomas Gessner Bernhard Wunderle Technische Universität Chemnitz Chemnitz Germany Forschungszentrum Jülich GmbH Ernst Ruska-Centrum und Peter Grünberg Institut Jülich Germany Bundesanstalt für Materialforschung und -prüfung Berlin Germany Fraunhofer IZM Berlin Berlin Germany Fraunhofer ENAS Chemnitz Chemnitz Germany

In this paper we present results of our recent efforts to understand the mechanical interface behaviour of single-walled carbon nanotubes (CNTs) embedded in metal matrices. We conducted experimental pull-out tests of CNTs embedded in Pd or Au and found maximum forces in the range 10-102 nN. These values are in good agreement with forces obtained from molecular dynamics simulations taking into account surface functional groups (SFGs) covalently linked to the CNT material. The dominant failure mode in experiment is a CNT rupture, which can be explained with the presence of SFGs. To qualify the existence of SFGs on our used CNT material, we pursue investigations by means of fluorescence labeling of surface species in combination with Raman imaging. We also report of a tensile test system to perform pull-out tests inside a transmission electron microscope to obtain in situ images of CNT-metal interfaces under mechanical loads at the atomic scale.

关键词： Reliability Metallization Silicon

来源：评论

学校读者我要写书评

暂无评论

AI-Enhanced Unmanned Aerial Vehicles for Search and Rescue Operations

AI-Enhanced Unmanned Aerial Vehicles for Search and Rescue O...

引用

Innovative Trends in Information Technology (ICITIIT), International conference on

作者： K Rashida Farsath K Jitha V.K Mohammed Marwan A Muhammed Ali Jouhar K.P Muhammed Farseen K.A Musrifa Department of Computer Science & Engineering MEA Engineering College

ISBN: (数字)9798350386813

ISBN: (纸本)9798350386820

This paper introduces a cutting-edge AI-empowered Unmanned Aerial Vehicle (UAV) system, enriched with state-of-the-art sensor technology, advanced image recognition algorithms, and autonomous navigation capabilities. The system represents a transformative approach to search and rescue operations, offering unparalleled precision and rapid response times. Our methodology encompasses multifaceted data collection techniques, including surveys, interviews, data mining, Internet of Things (IoT) sensors, and sophisticated video analytics. Machine learning and deep learning models are then applied to process and analyze this data, enabling real-time image recognition for precise target identification. The system’s AI-driven autonomous navigation algorithms optimize mission planning, resulting in significantly reduced response times and heightened mission success rates. Extensive real-world tests and simulations validate the exceptional performance of the proposed AI-empowered UAV system. These tests underscore its capacity to expedite emergency response efforts in dynamic and challenging environments. In parallel, this paper addresses critical ethical considerations, em-emphasizing responsible data handling practices, and robust security measures to ensure the system’s integrity in sensitive contexts. As exemplified through a compelling case study of successful rescue operations, this technology represents a groundbreaking advancement in the field. By bridging the gap between cutting- edge technology and life-saving applications, it holds the potential to redefine the landscape of search and rescue missions, ushering in an era of heightened efficiency, precision, and impact.

关键词： Image recognition Machine learning algorithms Heuristic algorithms Autonomous aerial vehicles Emergency services Real-time systems Time factors

来源：评论

学校读者我要写书评

暂无评论

Predictive Maintenance in IoT Networks Using a Temporal Attention Mechanism Based Federated Convolutional Neural Network

Predictive Maintenance in IoT Networks Using a Temporal Atte...

引用

Innovation in Technology (ASIANCON), Asian conference on

作者： Naga Venkata Ramakrishna Guduri R.M. Dilip Charaan Kalaiyarasi R Samuthira Pandi V D.Laxma Reddy Selvaprabhu. T Faculty of Engineering University of Technology and Applied Sciences-Al Musannah Sultanate of Oman Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Artificial Intelligence and Data Science Rajalakshmi Institute of Technology Chennai Tamil Nadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of ECE MLR Institute of Technology Hyderabad India Department of CSE Dhanalakshmi College of Engineering Chennai Tamil Nadu India

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

In the era of Industry 4.0, edge devices in industrial settings generate vast amounts of data crucial for process optimization and Predictive Maintenance (PM). Traditional cloud-based approaches for handling this data are becoming untenable due to cost, latency, and privacy issues. Federated learning emerges as a viable solution, offering localized and efficient data processing while mitigating these challenges. This paper presents a Federated Convolutional Neural Network with Temporal Attention Mechanism (FedCNN-TAM) for PM tasks in Internet of Things (IoT) networks. This model leverages temporal features in sensor data to enhance predictive accuracy. Evaluated on the CMAPSS dataset, FedCNN-TAM outperforms representative models with a significant performance gain. This model exhibits the potential for broader applications in industrial IoT, setting the stage for future research on its scalability and adaptability to multi-modal data types.

关键词： Adaptation models Temperature distribution Technological innovation Attention mechanisms Accuracy Predictive models Data models Real-time systems Convolutional neural networks Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

A practical comparison between filtering algorithms for enhanced RFID localization in smart environments

A practical comparison between filtering algorithms for enha...

引用

International conference on Information, Intelligence, systems and applications

作者： Jean-Sébastien Bilodeau Dany Fortin-Simard Sebastien Gaboury Bruno Bouchard Abdenour Bouzouane LIARA Lab. Univ. du Quebec a Chicoutimi Chicoutimi QC Canada

ISBN: (纸本)9781467393126

The rapid adoption of wireless technologies has increased the interest of many laboratories about the field of Wireless sensor Network (WSN) or the Radio-Frequency Identification (RFID) technology which has emerged as a winning combination for the implementation of an advanced assistance system within smart environments. To fulfill the important mission of a technological assistance, an algorithm first had to identify the ongoing activities of its user by tracking everyday life objects in real time using, for example, passive RFID tags. To increase the quality of information extracted from the objects localization by properly using the Received Signal Strength Indicator (RSSI), this paper explores Kalman filter, particle filter and few others filtering algorithm that enhances the tracking performance. It also discusses three of the most interesting methods that can be applied for the localization of objects in smart environments without requiring the installation of references tags everywhere. Finally, to increase the value, we include experiments that were conducted within a real smart home infrastructure to review the positive and negative elements of each method.

关键词： Smart environment Support service Filtering algorithm Kalman Particle filter Objects localization Trilateration Pattern matching RFID Wireless sensor network Received Signal Strength

来源：评论

学校读者我要写书评

暂无评论

PROTEIN MICROARRAY AND HPV PROTEIN INTERACTIONS USING EUKARYOTIC CELL-FREE TRANSLATION systems

PROTEIN MICROARRAY AND HPV PROTEIN INTERACTIONS USING EUKARY...

引用

Asia conference on Nanoscience and Nanotechnology Abstracts Book

作者： YONG-WAN KIM WOOCHANG LEE DOO-BONG LEE SEUNGJOON JUN JEONG-WOO CHOI Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea

Generally, after high-risk HPV infection, E6 and E7 oncoproteins are consistently expressed, and essential for immortalization and transformation of human squamous epithelial cells. The E6 and E7 proteins form complexes with p53 and Rb, respectively, inhibiting the activities of the proteins in cell cycle regulatory systems. These selective degradations of tumor suppressor proteins are strategically very important in gene therapy, as the inactivation of p53 and Rb is essential for the induction of cervical carcinoma. Biosensor technology based on the surface plasmon resonance (SPR) technique has been developed for the measurement of binding kinetics between a biomolecule in complex biological media and its binding partner immobilized on a sensor surface with high specificity and sensitivity, with a short detection time, and with simplicity. applications of the SPR biosensor include the study of receptor-ligand interactions, the formation of signaling complexes, epitope mapping and protein-DNA binding. However, the enhancement of sensitivity is required to detect the peptide-antibody binding and protein-protein binding, as the concentrations of biomolecules in a biological system are extremely low.

关键词： Cervical neoplasia human papilloma virus surface plasmon resonance

来源：评论

学校读者我要写书评

暂无评论

Smarter Way to Monitor and Detect Intrusions in Cloud Infrastructure using sensor-Driven Edge Computing

Smarter Way to Monitor and Detect Intrusions in Cloud Infras...

引用

Computing, Power and Communication Technologies (IC2PCT), IEEE International conference on

作者： B Venkateswara Reddy Khader Basha Sk Kusuma Polanki Sai Srinivas Vellela Lavanya Dalavai Lakshma Reddy Vuyyuru K Kiran Kumar Dept. of CSE-Cyber Security Chalapathi Institute of Technology Guntur AP India Dept. of CSE-Data Science Chalapathi Institute of Technology Guntur AP India Dept. of CSE Chalapathi Institute of Technology Guntur AP India Dept. of CSE Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

In today's linked world, essential infrastructure must be protected from unauthorized access. Traditional security measures often depend on closed-circuit television (CCTV) systems for perimeter monitoring. However, developing technologies provide substantial opportunity for improving security standards. This study presents a novel technique for achieving enhanced real-time, long-range object monitoring capabilities by combining modern edge computing and a varied spectrum of sensors, including LiDAR (Light Detection and Ranging) and ultrasonic sensors. LiDAR and ultrasonic sensors outperform traditional video cameras by offering real-time, long-range object monitoring capabilities, making them suitable for critical infrastructure security. However, these sensors create complex 3D point cloud data, which presents issues for data transmission and storage. To overcome this problem, we suggest implementing an enhanced edge computing architecture. The suggested architecture optimizes data transmission by compressing and centralizing point cloud data at the network's edge. This strategy reduces the demand on network resources by transferring computing activities to edge devices, allowing for real-time monitoring. Furthermore, the optimized data is smoothly transported to cost-effective Cloud-based servers provide effective resource utilization while protecting the security system. This research not only introduces a novel security paradigm for critical infrastructure but also contributes to the wider discourse on edge computing applications. By combining advanced sensors and edge computing technology, our approach not only enhances security but also ensures scalability, cost-effectiveness, and real-time responsiveness. The findings of this study have significant. Implications for the design and implementation of future security systems, emphasizing the importance of leveraging cutting-edge technologies to safeguard vital assets and infrastructure.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Sequential Motif Profiles and Topological Plots for Offline Signature Verification

Sequential Motif Profiles and Topological Plots for Offline ...

引用

conference on Computer Vision and Pattern Recognition (CVPR)

作者： Elias N. Zois Evangelos Zervas Dimitrios Tsourounis George Economou University of West Attica Ancient olive grove campus Greece University of Patras Patras Greece

ISBN: (数字)9781728171685

ISBN: (纸本)9781728171692

In spite of the overwhelming high-tech marvels and applications that rule our digital lives, the use of the handwritten signature is still recognized worldwide in government, personal and legal entities to be the most important behavioral biometric trait. A number of notable research approaches provide advanced results up to a certain point which allow us to assert with confidence that the performance attained by signature verification (SV) systems is comparable to those provided by any other biometric modality. Up to now, the mainstream trend for offline SV is shared between standard -or handcrafted- feature extraction methods and popular machine learning techniques, with typical examples ranging from sparse representation to Deep Learning. Recent progress in graph mining algorithms provide us with the prospect to re-evaluate the opportunity of utilizing graph representations by exploring corresponding graph features for offline SV. In this paper, inspired by the recent use of image visibility graphs for mapping images into networks, we introduce for the first time in offline SV literature their use as a parameter free, agnostic representation for exploring global as well as local information. Global properties of the sparsely located content of the shape of the signature image are encoded with topological information of the whole graph. In addition, local pixel patches are encoded by sequential visibility motifs-subgraphs of size four, to a low six dimensional motif profile vector. A number of pooling functions operate on the motif codes in a spatial pyramid context in order to create the final feature vector. The effectiveness of the proposed method is evaluated with the use of two popular datasets. The local visibility graph features are considered to be highly informative for SV; this is sustained by the corresponding results which are at least comparable with other classic state-of-the-art approaches.

关键词： Feature extraction Handwriting recognition Computer vision Machine learning Time series analysis sensor phenomena and characterization

来源：评论

学校读者我要写书评

暂无评论

Integrating NVIDIA Jetson Nano as a Data Server in IIoT Ecosystems: A Case Study

Integrating NVIDIA Jetson Nano as a Data Server in IIoT Ecos...

引用

IEEE International conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Adriel Vasques Andrey R. R. Bessa José E.B.S. Linhares Mateus O. Silva Gustavo M. Torres Matheus S. Uchôa Myke D.M. Valadão Edma V.C.U. Mattos Antônio M.C. Pereira Agemilson P. Silva Allan C. Brito Rômulo S.F. Waldir S.S. Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) AM Brazil ENVISION/TPV Group Technology Limited AM Brazil

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

This study introduces an advanced Industrial Internet of Things (IIoT) system for efficient data collection and processing in industrial settings. By incorporating LoRaWAN sensors, MQTT brokers, and NVIDIA Jetson Nano operating system based on Ubuntu. The proposed system enhances data transmission reliability, optimizes machine learning data flow, and reinforces data security. These improvements significantly boost operational efficiency and setting the base for efficient data collection by optimizing operational flows in automated industrial environments. Furthermore, the proposed can be used in a data acquisition context to create machine learning models for predictive maintenance applications or anomaly detection in industrial assets, even if the AAS stage is still under development.

关键词： Data security Biological system modeling Machine learning Data collection sensor systems Data models sensors

来源：评论

学校读者我要写书评

暂无评论

Sensitivity of the distributed optical fiber sensor to measure soil movement for landslide monitoring application

Sensitivity of the distributed optical fiber sensor to measu...

引用

Student conference on Research and Development (SCOReD)

作者： Abdulwahhab Essa Hamzah Tan Wui Kin Mohd Saiful Dzulkefly Zan Nor Shahidah Mohd Nazer Hisham Mohamad Yosuke Tanaka Mustafa Essa Hamzah Ahmad Ashrif A. Bakar Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Photonics Technology Laboratory Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia Department of Communications Engineering Iraq University College Basrah Iraq Department of Earth Sciences and Environment Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM) UKM Bangi Selangor Malaysia Civil & Environmental Engineering Department Universiti Teknologi PETRONAS seri Iskandar Perak Malaysia Division of Advanced Electrical and Electronic Engineering Institute of Engineering Tokyo University of Agriculture and Technology Japan

ISBN: (数字)9798331510077

ISBN: (纸本)9798331510084

Landslides are one of the major global geohazards, contributing to significant economic and social losses to private and public properties. In this paper, we deployed a Brillouin optical time-domain analysis (BOTDA) interrogator to measure soil movement and identify the soil movement location. The method was analyzed experimentally, detecting the soil movement location at around 935 m to 955 m of fiber. In addition, the system’s sensitivity was analyzed for soil movement within the displacement range of 0 mm to $\mathbf{4 0 \mathrm { mm }}$, with increments of 5 mm. The experimental result shows that the frequency shift of 1.66 MHz corresponds to 1 mm, and the tensile strain of $31.4 \mu \varepsilon$ corresponds to 1 mm. Moreover, the high reliability of measurement accuracy, demonstrated by an average of nine measurements with an error of 2.76 MHz, further supports the effectiveness of the system for detecting and monitoring soil movement in real-world applications.

关键词： Optical fibers Optical fiber sensors Accuracy Sensitivity Soil measurements Scattering Soil Optical variables measurement Motion measurement Monitoring

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共466页 << < 457 458 459 460 461 462 463 464 465 466 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：