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

11,839 篇 会议
263 篇 期刊文献
77 册 图书
3 篇 学位论文

馆藏范围

12,182 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

6,273 篇 工学
- 3,346 篇 计算机科学与技术...
- 2,883 篇 控制科学与工程
- 1,638 篇 电气工程
- 1,636 篇 软件工程
- 876 篇 机械工程
- 439 篇 信息与通信工程
- 309 篇 交通运输工程
- 304 篇 动力工程及工程热...
- 280 篇 电子科学与技术（可...
- 266 篇 力学（可授工学、理...
- 261 篇 航空宇航科学与技...
- 236 篇 仪器科学与技术
- 200 篇 化学工程与技术
- 192 篇 石油与天然气工程
- 181 篇 材料科学与工程（可...
- 165 篇 土木工程
- 153 篇 生物工程
- 134 篇 生物医学工程（可授...
- 115 篇 建筑学
- 115 篇 环境科学与工程（可...
2,135 篇 理学
- 1,285 篇 数学
- 544 篇 系统科学
- 494 篇 物理学
- 298 篇 统计学（可授理学、...
- 200 篇 生物学
- 163 篇 化学
1,180 篇 管理学
- 1,056 篇 管理科学与工程(可...
- 365 篇 工商管理
- 168 篇 图书情报与档案管...
125 篇 医学
109 篇 经济学
86 篇 法学
51 篇 农学
44 篇 教育学
24 篇 军事学
16 篇 文学
5 篇 艺术学
1 篇 历史学

主题

1,588 篇 control systems
1,240 篇 computational mo...
698 篇 mathematical mod...
457 篇 process control
322 篇 power system mod...
306 篇 neural networks
275 篇 optimization
258 篇 modeling
250 篇 predictive model...
241 篇 automation
227 篇 analytical model...
213 篇 automatic contro...
203 篇 object oriented ...
203 篇 inverse problems
201 篇 traffic control
199 篇 biological syste...
179 篇 load modeling
177 篇 application soft...
175 篇 real time system...
174 篇 robots

机构

51 篇 state key labora...
48 篇 chinese acad sci...
28 篇 hubei key labora...
25 篇 school of automa...
23 篇 samara state tec...
21 篇 university of ch...
20 篇 school of artifi...
18 篇 univ chinese aca...
17 篇 samara state tec...
17 篇 the state key la...
15 篇 key laboratory o...
15 篇 engineering rese...
14 篇 school of automa...
14 篇 state key labora...
13 篇 taras shevchenko...
13 篇 sumy state unive...
12 篇 the state key la...
12 篇 department of au...
11 篇 russian acad sci...
11 篇 univ chinese aca...

作者

26 篇 fei-yue wang
19 篇 dongbin zhao
17 篇 xiong gang
17 篇 wang fei-yue
14 篇 nikitina t.
13 篇 jian wang
11 篇 yasuda gen'ichi
11 篇 fenghua zhu
11 篇 mengchu zhou
11 篇 daniel zeng
10 篇 xu hao
10 篇 bobtsov alexey a...
9 篇 wang xiao
9 篇 liu yang
9 篇 soeffker dirk
9 篇 kononov dmitry
9 篇 c.m. mitchell
9 篇 zhu fenghua
8 篇 lei wang
8 篇 wang lei

语言

11,955 篇 英文
127 篇 其他
89 篇 中文
20 篇 俄文
1 篇 捷克文
1 篇 意大利文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12182 条记录，以下是151-160 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：

Transmission Characteristics Analysis and Optimization of Coherent Structured Light Fields in Turbulent Atmosphere Based on Deep Learning

Transmission Characteristics Analysis and Optimization of Co...

引用

Integrated Circuits and Communication systems (ICICACS), IEEE international conference on

作者： Xuehua Hu Jiangxi University of Engineering Xinyu Jiangxi China

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

In order to address the attenuation, distortion and distortion problems of light field transmission in a turbulent atmosphere, a coherent structured light field analysis method based on deep learning is introduced, aiming to improve the anti-disturbance ability of the light field in atmospheric turbulence and optimize its transmission characteristics. By establishing an optimization framework combining a turbulent atmosphere model and DNN (Deep Neural Network), the transmission performance of coherent structured light fields under different turbulence intensities is studied. Firstly, a numerical model of turbulent atmosphere is established, and the transmission process of coherent structured light field under turbulence of different intensities is obtained through Monte Carlo simulation. Secondly, DNN is used to correct the distortion of the light field. The network is trained to enable it to recognize and optimize the spatial structure and phase information of the light field to reduce the impact of turbulence on the light field. The network model is trained using a large-scale dataset to ensure that it can adaptively adjust the characteristics of the light field under different turbulence conditions. Finally, the modified light field is controlled by real-time feedback combined with the optimization algorithm to maximize the transmission efficiency and recovery accuracy, thereby achieving optimized transmission of the light field in a turbulent environment. Under strong turbulence conditions, the MSE (Mean Square Error) without feedback control is the highest, which is 0.20-0.22, and the SSIM (Structural Similarity) is the lowest, which is only 0.68-0.70, and the transmission efficiency is 0.63-0.65; after real-time feedback control, the MSE drops to 0.15-0.16, the SSIM increases to 0.76-0.78, and the transmission efficiency improves to 0.74-0.75. The coherent structured light field optimization method based on deep learning provides an effective solution for ligh

关键词： Integrated optics Deep learning Atmospheric modeling Optical feedback Artificial neural networks Laser stability Light fields Real-time systems Feedback control Optical sensors

来源：评论

学校读者我要写书评

暂无评论

Improved Grading Recurrent Unit Model for Urban Traffic Flow Prediction

Improved Grading Recurrent Unit Model for Urban Traffic Flow...

引用

Advanced Research in Computing (ICARC), international conference on

作者： K.L.Y.S Karandana D.D.A Arthanayake M.W.P Maduranga National Innovation Center National Institute of Business and Management Colombo Sri Lanka Dept. Electrical and Electronic Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

Accurate prediction of traffic flow is essential for managing urban transportation, saving time and energy, as well as reducing congestion and promoting sustainability. Traditional models generally do not work effectively in complex urban networks such as multi-lane. To address this problem, this research presents a new method that improves the accuracy of traffic flow predictions and helps in energy conservation. The latest study extends a deep learning method using the GRU model. This study highlights the improved performance of the new models by showing performance evaluations such as RMSE, MAE, R 2 Score, MAPE (MAPE J1-3.18%, J2-2.21%, J3-1.80%, J4-1.43%) to highlight higher accuracy Furthermore, this research explores methods to enhance the computational speed of the GRU model by optimizing floating-point operations (FLOPs) on the CPU, ensuring responsiveness and scalability in real-time systems. It also discusses how the computational efficiency of the GRU model can be improved in predicting more effective traffic flows in urban transport systems.

关键词： Visualization Accuracy Computational modeling Transportation Predictive models Traffic control Real-time systems Computational efficiency Junctions Sustainable development

来源：评论

学校读者我要写书评

暂无评论

1st international Symposium on systems Modelling and Simulation, SMS 2024

1st International Symposium on Systems Modelling and Simulat...

引用

1st international Symposium on systems Modelling and Simulation, SMS 2024

ISBN: (纸本)9789819646128

The proceedings contain 27 papers. The special focus in this conference is on systems Modelling and Simulation. The topics include: A Spring-Pendulum Educational Device for Teaching Dynamics and control Courses;3D Scene Reconstruction Using Lidar Point Clouds and Images;dissolved Oxygen Concentration Modelling Based on Nanobubble Technology in Recirculating Aquaculture System;analysis of Ultrasonic Signal Arrival Time in Concrete with Multiple Defects;predictive Maintenance in Aerospace: Leveraging Machine Learning for Optimized Filter Lifespan;safety control with Conflict Resolution for Multi Robots in Flexible Manufacturing System;investigating Interdisciplinary Research Impact: A Framework for Integrating Linguistic and Citation Information;identification and control of Industrial Hydraulic Actuators with a Hammerstein-Wiener Model Approach;Machine Learning and NLP-Based Approach for Constraint Acquisition problems;Improving Twitter Sentiment Analysis with a Hybrid BERT and Graph Neural Network Ensemble;Autonomous Quadcopter UAV Waypoint Navigation: Simulation in Mission Planner;emotions Divergence in Online Social Network During Pandemic: A Sentiment Analysis;modeling of Low Salinity Waterflooding Process in Laboratory Experiments;Multimodal Biometric Recognition Using Fuzzified BTC with a Novel Hybrid JSO-CSO Algorithm;Delayed Transitions in GPenSIM;Application Interface for GPenSIM;analyzing Production Line Schedules with Tecnomatix Plant Simulation;modelling of Electrical Capacitance Tomography Sensor Array for Air-Wax Detection;modeling and Simulation of an ECT Sensor for Non-invasive Agarwood Inspection;hardware Accelerator Simulation for Colour Correction Algorithm;analysis of the Impact of Watermarking Technique in Neural Network Models to Predict Lung Diseases;Adaptive Genetic Algorithm Based LQR for Optimal control of Nonlinear Double Pendulum Gantry Crane;performance Evaluation Customer Access Network Using Difference Modulation Technique.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Reliable Robotic Solution for Hospital Logistics: Implementation of Intelligent Pathfinding and control Strategy

A Reliable Robotic Solution for Hospital Logistics: Implemen...

引用

international conference on Electrical, Computer and Communication Engineering (ECCE)

作者： Farhan Ahmad Nafis Md. Saadman Sakib Alvi Sk Tahmed Salim Rafid Nahiduzzaman Akib Affifa Jahan Anonna Gourab Saha Department of Electrical and Electronic Engineering BRAC University Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Healthcare institutes such as hospitals often face a shortage of caregivers and a high workload that affects the efficiency and quality of care. This paper addresses such problems by implementing a prototype LFR model for automated medicine delivery systems in hospital environments. The system uses IR sensor and sonar sensor for complex path navigation. To address challenges with path retention of LFRs, the A* algorithm is utilized for optimized route selection, while a Proportional-Derivative (PD) controller ensures smooth navigation and stability at higher speed. A simulation was carried out in MATLAB to evaluate the effectiveness of the PD controller for a designed path. Furthermore, the practical test revealed the boost in system performance by 30% with a speed of 0.15 m / s using the PD controller, which is a significant improvement over the system without the PD controller. An interactive GUI was designed for controlling the entire system using Python Tkinter. For security purposes, fingerprint unlock feature has been integrated which increases reliability of the overall system. This research demonstrates that the proposed LFR system offers an efficient, scalable solution to enhance hospital medication delivery and reduce caregiver workload.

关键词： Hospitals Software packages System performance Sonar Sonar navigation Robot sensing systems Chatbots Stability analysis PD control Security

来源：评论

学校读者我要写书评

暂无评论

A Two-Step Interval Estimation Method for State Monitoring of Port Intelligent Guided Vehicles with Unknown-but-Bounded Noises 8th

A Two-Step Interval Estimation Method for State Monitoring ...

引用

8th international conference on Life System modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Jiang, Yuchen Lin, Yufeng Liang, ZhenLong Zhang, Yilian Key Laboratory of Transport Industry of Marine Technology and Control Engineering Shanghai Maritime University Shanghai201306 China College of Information and Communications Technology School of Engineering and Technology Central Queensland University Rockhampton4701 Australia

ISBN: (纸本)9789819602933

This paper investigates the problem of state monitoring of Intelligent Guided Vehicles (IGVs) operating in the complex port environment. Considering the perturbation suffered by the IGV, a two-step interval estimation method by integrating robust observer design with reachability analysis is proposed. First, we physically model the port IGV and its operating states subject to disturbances and noises, respectively. Then, a robust observer for the state monitoring of the considered IGV is designed and the existing conditions of the observer parameters are derived. In addition, based on the conditions for the existence of the proposed observer, the reachable set is obtained by the zonotope technique. Finally, the effectiveness of the proposed two-step interval estimation algorithm for the considered port IGV is verified by numerical simulations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Automatic guided vehicles

来源：评论

学校读者我要写书评

暂无评论

A Multitask Learning Model for Temperature and Relative Humidity Prediction in Multi-zone Buildings 8th

A Multitask Learning Model for Temperature and Relative Humi...

引用

8th international conference on Life System modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Li, Wenlong Wang, Xinli Wang, Lei School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9789819602247

The energy consumption of Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings accounts for almost half of the total energy usage. Therefore, research on HVAC energy management is essential. Prediction of indoor temperature and relative humidity is crucial in the field of efficient building energy management. However, this task is challenging due to the complex spatial-temporal coupling features and multivariable dependencies. To address these issues, we propose a multitask learning model called the Spatial-temporal Convolutional Multitask Deep Learning (STCMT) model for predicting the temperature and relative humidity in multi-zone buildings. This model utilizes Spatial-temporal Convolutional Block (ST-Conv block) to extract the spatial-temporal features of the variables in HVAC systems. Additionally, to address intervariable dependencies, we utilize the Transformer Model to capture the interrelationships among different variables. The proposed model has been implemented on a smart building dataset, and the results indicate that the proposed method outperforms other methods in indoor temperature and relative humidity prediction, including Support Vector Regression (SVR), Long Short-Term Memory (LSTM), MultiDeT, and Graph WaveNet. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： HVAC

来源：评论

学校读者我要写书评

暂无评论

Anesthesia Dose control Using Fuzzy Logic for Cattle

Anesthesia Dose Control Using Fuzzy Logic for Cattle

引用

3rd international conference on Signal and Data Processing, ICSDP 2023

作者： Saini, Jyoti Singh, Vijay Pal Dhaiya, Suman Department of Electronics and Communication Engineering Guru Jambheshwar University of Science and Technology Hisar India

ISBN: (纸本)9789819795772

Anesthesia plays a crucial role in ensuring the safe and effective management of surgical procedures in veterinary medicine. In particular, administering appropriate anesthesia doses to cattle presents unique challenges due to variations in individual physiology and the need for precise control to avoid under or over-anesthetizing animals. Fuzzy logic enables the modeling and control of complex systems by considering imprecision and uncertainty. In the context of anesthesia dose control, fuzzy logic allows for the incorporation of expert knowledge and the formulation of rules based on linguistic variables, making it suitable for addressing the variability inherent in cattle anesthesia. By employing fuzzy logic, the anesthesia dose control system can capture and interpret information from multiple inputs such as the animal's age, weight, breed, and overall health status. In conclusion, anesthesia dose control using fuzzy logic represents a valuable and promising approach for optimizing anesthesia administration in cattle. By leveraging the strengths of fuzzy logic, veterinarians and anesthesiologists can develop more reliable and adaptive systems, enabling safer and more efficient anesthesia management for bovine patients. Further research and development in this field hold great potential for advancing veterinary anesthesia practice and improving animal welfare in agricultural and clinical settings. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anesthesia Defuzzification Fuzzy logic Rule block table

来源：评论

学校读者我要写书评

暂无评论

Geometry and Kinematics of a Mobile Platform with a Rocker-Bogie Suspension During its Spatial Movement on an Uneven Surface

Geometry and Kinematics of a Mobile Platform with a Rocker-B...

引用

international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Saypulaev G. R. Gribov A. E. Gribova O. V. Department of Robotics Mechatronics Dynamics and Machine Strength National Research University “MPEI” Moscow Russia

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

This article presents mathematical modeling of the motion geometry and kinematics of a mobile platform with a rocker-bogie suspension during its spatial movement on an uneven surface. The aim of the work is to construct equations linking the generalized coordinates and velocities of the system during continuous motion of the robot on the support surface, taking into account the non-slip of the contact points. In particular cases of robot motion on horizontal and inclined planes, solutions of the equations of motion geometry relative to the generalized coordinates of the system are obtained. In the particular case of flat motion of the robot platform along a horizontal plane, a solution of the inverse kinematics equations is found. The results of the work can be used in developing robot motion control systems and planning optimal motion trajectories.

关键词： Geometry Robot motion Power engineering Inverse problems Robot kinematics Kinematics Mathematical models Trajectory Planning Mobile robots

来源：评论

学校读者我要写书评

暂无评论

IoT-Enhanced Airborne Pathogen Surveillance in Healthcare Environments using Deep Generative Networks

IoT-Enhanced Airborne Pathogen Surveillance in Healthcare En...

引用

Visual Analytics and Data Visualization (ICVADV), international conference on

作者： Prabhu V S Satheeshkumar Sekar S. Dhanalakshmi N. Mohankumar B. Gopi S. Murugan Department of Electronics and Communication Engineering R.M.D. Engineering College Chennai Tamil Nadu India Mphasis Corporation Project Manager Chandler Arizona USA Department of Information Technology Sri Muthukumaran Institute of Technology Chennai Tamil Nadu India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Department of Biomedical Engineering Innovation Center Sona College of Technology Salem Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

In hospital settings, airborne pathogens present significant risks to the health and safety of workers and patients. This research proposes an enhanced method for airborne pathogen detection by integrating deep generative networks (DGNs) with Internet of Things (IoT) technologies. The system uses a network of IoT sensors placed in hospitals to continuously monitor environmental factors, including humidity, temperature, and particulate matter, to identify pathogens. By analyzing the data collected by the sensors, DGNs can accurately detect the amount and kind of airborne pathogens by modeling complicated patterns. The system's deep generative method enhances the model's capacity to identify minute variations in pathogen levels by producing artificial data that complements sensor data. The possibility of spreading infection may be greatly reduced with real-time data processing and analysis, which enables quick alerts and responses. The proposed system's capacity to enhance infection control measures and sustain a safer hospital environment is shown via simulations and real implementations, proving its efficiency. Integrating IoT real-time monitoring capabilities with DGNs' complex analytical capability signifies a notable leap forward in pathogen surveillance.

关键词： Temperature sensors Temperature measurement Pathogens Hospitals Atmospheric modeling Surveillance Real-time systems Data models Sensor systems Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Integrated Dispatching Model for Power System Incorporating Multiple Modules

Integrated Dispatching Model for Power System Incorporating ...

引用

Advances in Electrical, Electronics and Computing Technology (EECT), international conference on

作者： Chang Xu Mingqiang Wang Zihan Wang Yizhe Zhang Jialiang Wang Fengbin Sun Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331541545

ISBN: (纸本)9798331541552

The widespread integration of renewable energy presents significant challenges for power system scheduling. Traditional power system scheduling is mainly based on the concept of “coordinating on a multi-time-level and gradually refining at each level,” using a sequential scheduling framework. However, with the growing integration of renewable energy, the uncertainty in power systems has significantly increased, leading to severe issues such as conflicts in the coordination between different modules. This paper first introduces the scheduling framework of the traditional sequential scheduling model. Then, addressing the problems of module coordination and insufficient flexibility, an integrated multi-time-scale scheduling model is proposed. This model combines day-ahead and intraday scheduling models, optimizing decision variables including unit start/shut states, operation points, and reserves simultaneously to maximize the collaborative potential between different scheduling modules. After linearization, the proposed model is converted into a mixed-integer linear programming (MILP) model, which can be solved directly using commercial optimization solvers. Finally, case analyses demonstrate the effectiveness and superiority of the proposed integrated model compared to the traditional sequential scheduling model.

关键词： Renewable energy sources Analytical models Uncertainty Fluctuations Processor scheduling Refining Regulation Power systems Power system reliability Load modeling

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500页 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：