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

3,522 篇 会议
85 篇 期刊文献

馆藏范围

3,607 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,181 篇 工学
- 1,440 篇 电气工程
- 1,424 篇 计算机科学与技术...
- 756 篇 软件工程
- 729 篇 电子科学与技术（可...
- 517 篇 动力工程及工程热...
- 501 篇 控制科学与工程
- 443 篇 信息与通信工程
- 274 篇 石油与天然气工程
- 234 篇 环境科学与工程（可...
- 161 篇 网络空间安全
- 152 篇 机械工程
- 112 篇 安全科学与工程
- 111 篇 交通运输工程
- 107 篇 生物工程
- 79 篇 材料科学与工程（可...
- 70 篇 化学工程与技术
- 63 篇 仪器科学与技术
- 55 篇 光学工程
802 篇 理学
- 398 篇 数学
- 278 篇 物理学
- 115 篇 生物学
- 84 篇 统计学（可授理学、...
- 79 篇 化学
- 76 篇 系统科学
- 60 篇 地球物理学
386 篇 管理学
- 319 篇 管理科学与工程(可...
- 133 篇 工商管理
- 94 篇 图书情报与档案管...
84 篇 经济学
- 84 篇 应用经济学
59 篇 法学
- 51 篇 社会学
32 篇 医学
23 篇 农学
18 篇 教育学
6 篇 军事学

主题

104 篇 power quality
89 篇 computers
73 篇 cloud computing
72 篇 reactive power
69 篇 switches
66 篇 voltage control
65 篇 power demand
61 篇 integrated circu...
60 篇 internet of thin...
52 篇 inverters
51 篇 mathematical mod...
50 篇 harmonic analysi...
50 篇 capacitors
50 篇 maximum power po...
45 篇 topology
44 篇 computational mo...
44 篇 renewable energy...
39 篇 logic gates
39 篇 machine learning
39 篇 power system sta...

机构

14 篇 china electric p...
10 篇 ceyear technolog...
10 篇 school of econom...
9 篇 beijing smartchi...
9 篇 lovely professio...
8 篇 school of optica...
8 篇 chitkara univers...
8 篇 dept. of electri...
8 篇 state grid energ...
7 篇 mepco schlenk en...
7 篇 department of co...
7 篇 rajarambapu inst...
6 篇 school of comput...
6 篇 department of co...
6 篇 china southern p...
6 篇 shandong provinc...
6 篇 university of za...
6 篇 maharishi school...
6 篇 srm institute of...
6 篇 school of scienc...

作者

12 篇 saad mekhilef
11 篇 singh bhim
9 篇 mekhilef saad
9 篇 wang zheng
8 篇 prakash s.
7 篇 zhang bo
7 篇 kumar rohit
6 篇 chen chen
6 篇 wang chao
6 篇 li lei
6 篇 ritesh dash
6 篇 k. s. kavin
5 篇 chao wang
5 篇 pati swagat
5 篇 zheng wang
5 篇 alex stojcevski
5 篇 s. edward rajan
5 篇 li yan
5 篇 suguna r.
5 篇 s. prakash

语言

3,431 篇 英文
116 篇 其他
68 篇 中文

检索条件"任意字段=2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023"

共 3607 条记录，以下是91-100 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：

Integrated Renewable Energy System with ANN-Based MPPT for Efficient power Generation, Wireless Transmission, and Energy Storage in EV Applications 7

Integrated Renewable Energy System with ANN-Based MPPT for E...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Prakash, S. Mohan, G. Vinayaka Missions Research Foundation Aarupadai Veedu Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350372816

The increasing global energy demand and the urgent need to transition to sustainable practices have made the integration of renewable energy sources (RESs) into distribution power networks imperative. This paper main objective is to implement rooftop photovoltaic (PV) systems as an essential part of low-voltage (LV) DC networks' building-integrated centralized generation. By ensuring maximum power extraction from photovoltaic (PV) panels, a Maximum power Point Tracking (MPPT) approach based on Artificial Neural Networks (ANNs) is utilized to enhance power generation efficiency, particularly in partially shaded scenarios. After that, the PV system's generated power is sent to a Luo converter, which effectively tracks and optimizes the power production. The Luo converter's output is then fed into a high-frequency converter to enable wireless power transfer. This wireless power transmission improves the system's flexibility and scalability by facilitating energy transfer without the requirement for physical connections. An isolation transformer is attached to the high-frequency converter's output to guarantee the system's dependability and safety. The high-frequency converter is isolated from the downstream components by the isolation transformer, which also offers protection against electrical risks. Lastly, the transformer's isolated output is connected to DC loads as well as a battery intended for use in electric vehicle (EV) applications. Lastly, we will use the MATLAB 2021a / Simulink program to do a number of numerical simulations in order to validate the proposed controls. The efficiency achieved with the Luo converter is 93.5% and tracing efficiency of the ANN based MPPT is 92%. © 2024 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Accelerating Sustainability through Leveraging Machine Learning to Analyze CSR Spending in the Indian Automobile Industry 7

Accelerating Sustainability through Leveraging Machine Learn...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Yogi, Kottala Sri Dankan Gowda, V. Pati, Anwesha Srinivas, Ved Aghav, Santosh Abdullah, Ibrahim International University Symbiosis Institute of Business Management Hyderabad Symbiosis Department of Operations Pune India BMS Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India Symbiosis Institute of Business Management Hyderabad India Thiagarajar School of Management Department of Human Resources Tamil Nadu Madurai India Symbiosis Law School Hyderabad Pune India Al-Turath University College Department of Computer Science Baghdad Iraq

ISBN: (纸本)9798350372816

This paper uses machine learning to assess Corporate Social Responsibility spending trends on the Indian automobile sector between 2016 and 2021. Simply put, the aim of the research is to recognize trends and patterns in sustainability expenditures. More specifically, the study examines how businesses allocate money across the three important aspects of the sustainability report: People, Planet, and Profit Purcell, 2020. The research is based on a largely industry-based database obtained from public companies' records. The use of advanced statistical techniques, such as machine learning and random forest modeling, enables one to examine the impact of financial allocations on sustainability achievements. Increments in CSR spending are related to enhanced company sustainability performance in terms of correlation outcomes. The paper also recognizes areas where cost cuts have the best returns, as well as shortfalls in the existing CSR approach, offering a strategy for possible development's. © 2024 IEEE.

关键词： CSR Impact Sustainability Analysis Indian Automobile Industry Learning Machine Social Responsibility Environmental Spending Sustainability Investments Corporate

来源：评论

学校读者我要写书评

暂无评论

Envisaging the patterns in Blockchain 7

Envisaging the patterns in Blockchain

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Nagarajan, G. Atmakuri, Sukeerth Nalamati, Sri Satyendra Minu, R.I. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India SRM Institute of Science and Technology Department of Computing Technologies Kattankulathur India

ISBN: (纸本)9798350372816

Cryptocurrency is becoming more mainstream, and experts predict that its market size will reach dollar 2.2 trillion by 2026. However, it's also an intangible and highly volatile asset that poses significant challenges for governments, anti-money laundering analysts, and financial crime investigators. Compliance with strict regulations is also a challenge facing virtual asset service providers. The price of Bitcoin hit an all-time high in January 2021, making headlines worldwide. As the popularity of cryptocurrency continues to grow, AML analysts and financial crime investigators face tougher challenges. VASPs are under pressure to comply with tighter regulations, and both parties need to take a proactive approach. Bitcoin visualization is a solution that involves visualizing a Bitcoin block, enabling analysts to clarify complex and dense blocks of transaction data quickly to identify high-risk activity. Instead of looking at historic Bitcoin transactions, analysts can now examine Bitcoin activity in real-time using a powerful Bitcoin network visualization chart showing key connections, combined with a dedicated Bitcoin timeline view featuring precise transaction details as they occur. We conducted a thorough and quantitative assessment of 76 analytics tools, including those proposed in academic research and those endorsed by professionals and blockchain enthusiasts online, to provide a comprehensive analysis of the facets of blockchain data that have been thoroughly investigated. We also identified areas that warrant further exploration in future research. © 2024 IEEE.

关键词： Blockchain Blockchain tools Data parsing Data Visualization Graph Modelling Graph-based analysis

来源：评论

学校读者我要写书评

暂无评论

Algorithmic Strategies for Cyber Crime Attack Prevention Harnessing the power of Convolutional Neural Networks 7

Algorithmic Strategies for Cyber Crime Attack Prevention Har...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Deva Kirubai, J. Christina Priscila, S. Silvia Bharath Institute of Higher Education and Research Department of Computer Applications Tamil Nadu Chennai India Bharath Institute of Higher Education and Research Department of Computer Science Tamil Nadu Chennai India

ISBN: (纸本)9798350372816

Cybercrime is a major concern in today's cyber world, and immediate action must be taken to prevent it. Traditional cybersecurity systems are vulnerable to acclimatization issues, a high percentage of false positive alerts, and so forth. To address these problems, the study proposes a cutting-edge technique that blends CNNs with transmission characteristics for anti-cybercrime policy. The CN-based system is designed to retrieve network traffic data in real-time, with the reliability of identified hostile activity proportional to the minimizing of false alarms. The system includes components such as data collection and preprocessing, CNN architecture design, training, real-time analysis, and adaptation to emerging threats. Superior performance characteristics can be seen in comparison to existing systems, including 0.90-0.92 greater accuracy, 0.89-0.94 precision, 0.97-0.98 recall, and 0.98-0.93 F1-score with a ROC AUC score of 0.97. Furthermore, the proposed system has faster detection speeds (1200 packets per second) and lower false positive rates for various cyber threat types such as malware (0.03), phishing assaults (0.05), and DDoS attacks (0.02). Thus, the proposed system represents a big step forward in the evolution of cyber security, adopting more active threat identification and mitigation, thereby strengthening existing network security and exposing it to fewer threats. © 2024 IEEE.

关键词： Phishing

来源：评论

学校读者我要写书评

暂无评论

Experimental Development of Wireless power Transmission System to Support Electric Vehicles Industry and Its Applications 7

Experimental Development of Wireless Power Transmission Syst...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Jaya Mabel Rani, A. Sujatha, S. Lakshmi, M. Shobana, D. Reddy, D. Laxma Chidambaranathan, C.M. Saveetha University Saveetha School of Engineering Department of CSE Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Sri Sairam College of Engineering Department of EEE Karnataka Bengaluru India S.A Engineering College Department of Mathematics Tamil Nadu Chennai India Rajalakshmi Engineering College Department of Mechatronics Engineering Tamil Nadu Chennai India MLR Institute of Technology Department of ECE Hyderabad India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology School of Computing Department of CSE Tamil Nadu Chennai India

ISBN: (纸本)9798350372816

The proliferation of charging stations is a direct outcome of the growing demand for electric automobiles. The use of inductive coupling in wireless power transfer (WPT) offers hope for a future free of unsightly cords. One technology that might liberate humans from those pesky cables is wireless power transfer (WPT) that makes use of magnetic resonance. Actually, what has been established over many years under the name inductive power transfer is actually the same basic idea that the WPT uses. Recently, WPT technology has been advancing at a rapid pace. A novel technique in the field of wireless power transmission, the Modified Wireless power Transmission Schema (MWPTS) was introduced in this study. The suggested method may be used for wireless charging electric vehicles, and the problems with charging time, range, and cost can be readily solved by incorporating WPT into electric vehicles. In order to determine how effective the suggested method is, it is cross-validated using an existing method known as Classical Wireless power Transmission Protocol (CWPTP). As a result of EVs' widespread use, battery technology is becoming obsolete. Researchers are invited to be inspired by the state-of-the-art achievements and continue developing WPT and expanding EV. The optimal structure for the coil design and various compensating methods for an effective wireless charging network have also been investigated in this research. © 2024 IEEE.

关键词： Inductive power transmission

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Enabled Decentralized Trust Management and Secure Voting system 7

Blockchain-Enabled Decentralized Trust Management and Secure...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Minu, R.I. Nagarajan, G. SRM Institute of Science and Technology Department of Computing Technologies Kattankulathur India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350372816

In the era of digital transformation, trust and security are paramount in ensuring the integrity of various online transactions and processes, including voting systems. Traditional centralized trust management and voting systems have faced challenges related to security, transparency, and accountability. To address these issues, this research introduces a novel Blockchain-Enabled Decentralized Trust Management and Secure Voting System. It leverages blockchain technology, a decentralized and immutable ledger, to enhance trust, transparency, and security in trust management and voting processes. This system combines several key components, including smart contracts, cryptographic techniques, and distributed ledger technology, to create a robust and tamper-resistant infrastructure. In the trust management aspect, the proposed system employs a decentralized reputation system where individuals and entities can build trust through transparent and verifiable interactions. Smart contracts automate trust-building processes and provide a reliable mechanism for dispute resolution. This system allows for trust to be quantified and established in a trustless environment. The secure voting component introduces a tamper-proof and transparent voting system. Through the use of cryptographic keys and digital signatures, voters can securely cast their votes while ensuring anonymity and integrity. All voting transactions are recorded on the blockchain, providing a permanent and auditable record of the election process. Verification of election results becomes accessible to all stakeholders, enhancing transparency and trust in the electoral process. The Blockchain-Enabled Decentralized Trust Management and Secure Voting System represents a significant step towards enhancing trust and security in critical online processes, such as voting. By combining blockchain technology, cryptography, and decentralized trust mechanisms, it offers a promising solution to address the challenges associat

关键词： Decentralized finance

来源：评论

学校读者我要写书评

暂无评论

Cross-Platform Multimodal Frogeye Leaf Spot Recognition and Classification: Advancing with Cutting-Edge CNN technologies and Transfer Learning in Diverse Plant Species 7

Cross-Platform Multimodal Frogeye Leaf Spot Recognition and ...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Mohan, G. Usharani, R. Tomar, Vatsala Arthi, A. Kuriyal, Suniti Kumar Yuvaraj, K.P. K.S.Rangasamy College of Technology Department of Mathematics Tamil Nadu India SRM Institute of Science and Technology School of Computing Department of Computational Intelligence Faculty of Engineering and Technology Chennai India IIMT University School of Life Science & Technology Department of Botany UP Meerut India Karpagam College of Engineering Department of Information Technology Coimbatore India Pt.L.M.S.Sridev Suman Uttarakhand University Campus Department of Botany Rishikesh India Sri Krishna College of Engineering and Technology Department of Mechanical Engineering Coimbatore India

ISBN: (纸本)9798350372816

Frogeye Leaf Spot, a common agricultural disease, poses a significant threat to crop yields. Using multimodal data from different platforms successfully has been a hurdle for existing research in leaf spot detection. Using cutting-edge convolutional neural network (CNN) and transfer learning techniques, this research presents a Cross-Platform Multimodal Recognition system to solve this issue. With a recall of 0.88, F1-score of 0.90, accuracy of 0.91, and precision of 0.92, the suggested method demonstrates exceptional performance. Our accuracy is 6% higher, F1-score is 8% higher, and recall is 9% higher than the preceding state-of-the-art, according to comparisons with previous studies. Improved Frogeye Leaf Spot detection on many platforms is a direct result of our method's success in combining picture and sensor data. This study improves farmers' ability to identify diseases and provides a solid answer for precision agriculture. Our Cross-Platform Multimodal Recognition system has shown to be effective in enhancing agricultural disease recognition, and the shown advances highlight its potential influence on crop management tactics. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Impact of Machine Learning on Applying the Best Worst Method for Social Sustainability in Manufacturing Supply Chains 7

Impact of Machine Learning on Applying the Best Worst Method...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Yogi, Kottala Sri Dankan Gowda, V. Kumar Sahu, Atul Jagtap, Madan Mohanrao Srinivas, Ved Abdullah, Ibrahim International University Symbiosis Institute of Business Management Hyderabad Symbiosis Department of Operations Pune India BMS Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India School of Studies in Engineering & Technology Department of Industrial and Production Engineering Koni Chattisgarh Bilaspur India Symbiosis Institute of Operations Management Department of Operations Management Nashik Campus Maharashtra Pune India Thiagarajar School of Management Department of Human Resources Tamil Nadu Madurai India Al-Turath University College Department of Computer Science Baghdad Iraq

ISBN: (纸本)9798350372816

This research is carried out merging ML with BWM to intensify decision making in manufacturing supply chain using social sustainability under light. As companies become more focused on environmental sustainability, the capability of machine learning to effectively assess and prioritize sustainability criteria should be highly valued. Through a team of domain experts, the research clearly identifies the most vital social sustainability factors and, afterwards, deploys ML algorithms to analyze and optimize the provided decision-making framework by BWM. The selected approach gives possibility to dynamic weighting of the criteria which is based on real-time data. This way we are able to come up with the more precise and effective sustainability strategies. The results show that the hybrid ML-BWM model is not only an effective tool to enhance the validity and accuracy of evaluations but also one that provides the prudent directions that help the manufacturing sector shape its choice and responses. This paper analyzes the possible outcome of the integration of AI and traditional approach to decision-making process on social aspects of sustainability within supply chain. © 2024 IEEE.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Strengthening Healthcare Cybersecurity by Optimizing Adversarial Attack Defences in Deep Learning Models using GPU and Parallel Processing technologies 7

Strengthening Healthcare Cybersecurity by Optimizing Adversa...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Venugopal, Hridya Christo, Mary Subaja Kattankulathur Campus SRM Institute of Science and Technology Department of Networking and Communications Tamilnadu Chengalpattu603203 India

ISBN: (纸本)9798350372816

In healthcare, safeguarding patient data integrity is paramount, necessitating robust deep learning models. This research focuses on bolstering the cyber security defenses of these models, particularly against adversarial attacks, through the application of the Localized Adversarial Feature Attack (LAFEAT) technique. Leveraging Graphics Processing Units (GPU) and the TensorFlow framework, the study explores algorithmic enhancements like the Fast Gradient Sign Method (FGSM) and Model-Agnostic Meta-Learning (MAML). These techniques perturb input data gradients or adapt model parameters, enhancing resilience against adversarial perturbations. Additionally, Particle Swarm Optimization (PSO), a metaheuristic optimization technique, is examined to fortify defense mechanisms further. Parallel processing techniques, utilizing parallel GPU or distributed clusters, are implemented to expedite the optimization process, reducing computational burdens and enhancing scalability. Despite advancements, gaps remain in understanding how these models can be optimized for real-world healthcare applications, particularly in terms of balancing computational efficiency and robustness. The research demonstrates tangible benefits, with a significant 10% increase in success rates against adversarial attacks compared to baseline methods. Moreover, parallel processing implementation results in a 30% reduction in optimization time, improving the efficiency of cyber security defenses for deep learning models in healthcare. These numerical enhancements underscore the research's value in fortifying healthcare systems against adversarial threats, ensuring the security and integrity of patient data while addressing existing gaps in the optimization of adversarial defenses in healthcare applications. The strengths of this research lie in its robust adversarial attack optimization techniques, integration of parallel processing for efficiency, and application to critical healthcare tasks. Comprehensive

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Improving Road Maintenance and Safety through Weighted Ensemble of Deep Convolutional Neural Networks: Focus on Pothole Detection 7

Improving Road Maintenance and Safety through Weighted Ensem...

引用

7th international conference on circuit power and computing technologies, iccpct 2024

作者： Senthil Pandi, S. Vasanthi, R. Reshmy, A.K. Praveen, D.S. Rajalakshmi Engineering College Department of CSE Chennai India St. Joseph's Institute of Technology Department of CSE Chennai India SRM Institute of Science and Technology School of Computing Department of CINTEL Chennai India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372816

Road surface irregularities influence an extensive range of aspects-from the general road condition, from the general safety of drivers and mechanical operation of the vehicles up to fuel consumption. If these anomalies exist, they will make driving dangerous, with accidents happening, more damage to your vehicle, and more fuel expenses because of ineffective driving conditions. All these issues have led to various approaches being developed for automatically monitoring the state of the road surface. These methods should help receive accurate data on the smoothness degree of the road and about the potholes' locations. One such unusual approach, which is part of crowdsensing, concerns road surface monitoring with accelerometers built into smartphones. It exploits the ever-growing use of smartphones by using the inbuilt sensors in them to collect data about road conditions as people travel and then analyse this same to provide maps of areas that have significant anomalies in road surfaces. It provides essential data for the attempts being made for maintaining and developing the road. Many advantages of the crowdsensing method are known by now. It is very cheap and, therefore, widely accessible. However, it suffers from false positives caused by structures created by humans, behaviors of drivers, and regular road surface elements that are not true anomalies. Throughout our study, we proposed an ensemble deep-learning approach for pothole discovery classification. Because the model proposed in the present study has an accuracy rate reaching 97.49%, our experimental results prove that this model is better than other currently used models. © 2024 IEEE.

关键词： Convolutional neural networks

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361页 << < 6 7 8 9 10 11 12 13 14 15 > >>

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：