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

27,700 篇 会议
364 篇 期刊文献
54 册 图书
1 篇 学位论文

馆藏范围

28,118 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

14,048 篇 工学
- 8,070 篇 计算机科学与技术...
- 6,138 篇 控制科学与工程
- 4,492 篇 软件工程
- 3,055 篇 电气工程
- 2,191 篇 机械工程
- 1,551 篇 信息与通信工程
- 836 篇 仪器科学与技术
- 729 篇 电子科学与技术（可...
- 709 篇 化学工程与技术
- 684 篇 动力工程及工程热...
- 622 篇 材料科学与工程（可...
- 459 篇 生物工程
- 413 篇 冶金工程
- 361 篇 环境科学与工程（可...
- 352 篇 生物医学工程（可授...
- 348 篇 力学（可授工学、理...
- 348 篇 石油与天然气工程
- 348 篇 安全科学与工程
- 340 篇 交通运输工程
- 298 篇 土木工程
3,726 篇 理学
- 1,938 篇 数学
- 787 篇 物理学
- 755 篇 系统科学
- 545 篇 统计学（可授理学、...
- 521 篇 化学
- 513 篇 生物学
3,133 篇 管理学
- 2,702 篇 管理科学与工程(可...
- 954 篇 工商管理
- 562 篇 图书情报与档案管...
355 篇 经济学
- 349 篇 应用经济学
309 篇 医学
227 篇 法学
167 篇 教育学
135 篇 农学
74 篇 文学
27 篇 艺术学
21 篇 军事学
1 篇 哲学

主题

5,866 篇 process control
2,066 篇 control systems
1,767 篇 automation
1,677 篇 cloud computing
1,034 篇 computational mo...
742 篇 automatic contro...
726 篇 mathematical mod...
664 篇 monitoring
620 篇 computer archite...
477 篇 real-time system...
457 篇 distributed comp...
421 篇 protocols
418 篇 hardware
405 篇 production
396 篇 software
377 篇 concurrent compu...
376 篇 optimization
354 篇 computer science
349 篇 predictive model...
345 篇 costs

机构

92 篇 state key labora...
61 篇 college of infor...
47 篇 shenyang institu...
47 篇 tianjin key labo...
43 篇 university of ch...
39 篇 department of co...
37 篇 school of automa...
33 篇 school of comput...
31 篇 school of artifi...
28 篇 northeastern uni...
25 篇 department of co...
24 篇 shenyang institu...
23 篇 key laboratory o...
21 篇 school of electr...
20 篇 chitkara univers...
19 篇 tianjin key labo...
17 篇 faculty of infor...
17 篇 school of automa...
17 篇 school of comput...
16 篇 tsinghua univers...

作者

31 篇 xiong gang
23 篇 mengchu zhou
22 篇 barbu marian
20 篇 liu yang
19 篇 valeriy vyatkin
19 篇 zhen shen
19 篇 leymann frank
18 篇 ulrich epple
18 篇 urbas leon
17 篇 tao yang
17 篇 fenghua zhu
16 篇 zhang tao
16 篇 shen zhen
15 篇 min huang
15 篇 li yang
15 篇 fei liu
15 篇 li li
15 篇 mihail abrudean
15 篇 chao wang
15 篇 wei li

语言

27,562 篇 英文
300 篇 中文
258 篇 其他
8 篇 西班牙文
7 篇 俄文
2 篇 德文
1 篇 法文

检索条件"任意字段=International Conference on Process Automation, Control and Computing"

共 28119 条记录，以下是4981-4990 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：

Design and Implementation of Intelligent Drug Delivery Robot Based on ARM for Face Comparison

Design and Implementation of Intelligent Drug Delivery Robot...

引用

computing, Robotics and System Sciences (ICRSS), international conference on

作者： Jiafa Deng Hanhong Tan Mingxin Wang Jinteng Guan Yulin Wang Lingwei Li Guangdong University of Science and Technology Dongguan China Shenzhen Xinyingda Technology Co. Ltd. Shenzhen China

ISBN: (数字)9798331511296

ISBN: (纸本)9798331511302

After the outbreak of the epidemic, the problem of infection risk has been greatly enlarged. Therefore, in order to treat infectious diseases and reduce the infection risk between people, it is necessary to solve unnecessary contact at the root, so this epidemic promotes the trend of “machine substitution”. An intelligent drug delivery robot based on ARM for face comparison is proposed. The intelligent drug delivery robot with STM 32 embedded system as the core, combining K210 neural network face recognition, upper tact control, voice prompt, intelligent security obstacle avoidance and autonomous tracking is designed. Intelligent robot based on STM32F103ZET6 single-chip computer, equipped with K210 and KPU neural network operator, through HC-06 face recognition, communication with the computer, voice prompt function and ultrasonic obstacle avoidance, using MPU605066 axis gyroscope, JGB 37–520 DC deceleration motor and Tb6612 drive motor control the robot posture and operation, in the complex working environment accurately and safely complete the target tasks. Through the experimental test of the system, the operation efficiency and stability of the intelligent robot are verified, which has a certain promotion value in the society.

关键词： Epidemics Face recognition Neural networks process control Robot sensing systems Motors Manipulators Drug delivery Real-time systems Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

3D virtual environment of the sugar refining process and automatic control using the hardware in the Loop technique

3D virtual environment of the sugar refining process and aut...

引用

Mechanical, automation and Electrical Engineering (CMAEE), international conference on

作者： Milton Fabian Condor Taco Edwin Patricio Pruna Panchi Dept. Electrica y Electrónica Universidad De Las Fuerzas Armadas ESPE Sangolquí Ecuador

This paper proposes the design of a 3D virtual environment of the sugar re-fining process for the implementation of the Hardware in the Loop (HIL) technique and the design of PID controllers by means of a commercial programmable logic controller (PLC), developing operation and control tests in the plant. The 3D modeling of the virtual environment is developed from the P&ID diagram of the process, which indicates the arrangement of equipment and instruments with-in the virtual environment, the mathematical models of the process were developed from base equations, theorems and experimentation to determine the dynamics of operation of the sugar refining process, while the animations and realism were designed in the Unity 3D graphics engine. The interchange of information between the virtualized plant and the PLC, using the Modbus TCP/IP protocol, determined a fast and reliable communication. Finally, different control tests were developed, allowing to demonstrate that the HIL technique presents a complete control over the virtual plant as if it resembled reality.

关键词： Three-dimensional displays Protocols Transmitters Virtual environments process control Sugar refining TCPIP

来源：评论

学校读者我要写书评

暂无评论

Feature Mixup with Normalized Logit Knowledge Distillation for Class Incremental Learning

Feature Mixup with Normalized Logit Knowledge Distillation f...

引用

Power Electronics, Computer Applications (ICPECA), IEEE international conference on

作者： Xijia Hong Hongyu Zhao School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Class-incremental learning aims to continually acquire new knowledge while retaining previously learned knowledge, mimicking the human learning process. To overcome catastrophic forgetting, various recent approaches based on dynamic-architectures achieve good performance. In this paper, we introduce a Feature Mixup technique when training the expanded model to preserve and strengthen knowledge from old tasks. However, dynamic-architectures bring the problem in memory budget. To address this, we propose the Normalized Logit Knowledge Distillation (NLKD) to control the model size while maintaining performance. We tested our proposed method on three public benchmark datasets, and experimental results show that our approach makes progress.

关键词： Training Incremental learning Image coding Computational modeling Computer applications Benchmark testing Power electronics

来源：评论

学校读者我要写书评

暂无评论

TiV-ODE: A Neural ODE-based Approach for controllable Video Generation From Text-Image Pairs

TiV-ODE: A Neural ODE-based Approach for Controllable Video ...

引用

IEEE international conference on Robotics and automation (ICRA)

作者： Yucheng Xu Nanbo Li Arushi Goel Zonghai Yao Zijian Guo Hamidreza Kasaei Mohammadreza Kasaei Zhibin Li School of Informatics University of Edinburgh UK College of Information and Computing Sciences University of Massachusetts-Amherst US Department of Electrical and Computer Engineering Boston University US Department of Artificial Intelligence Bernoulli Institute University of Groningen The Netherlands Department of Computer Science University College London UK

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Videos capture the evolution of continuous dynamical systems over time in the form of discrete image sequences. Recently, video generation models have been widely used in robotic research. However, generating controllable videos from image-text pairs is an important yet underexplored research topic in both robotic and computer vision communities. This paper introduces an innovative and elegant framework named TiV-ODE, formulating this task as modeling the dynamical system in a continuous space. Specifically, our framework leverages the ability of Neural Ordinary Differential Equations (Neural ODEs) to model the complex dynamical system depicted by videos as a nonlinear ordinary differential equation. The resulting framework offers control over the generated videos’ dynamics, content, and frame rate, a feature not provided by previous methods. Experiments demonstrate the ability of the proposed method to generate highly controllable and visually consistent videos and its capability of modeling dynamical systems. Overall, this work is a significant step towards developing advanced controllable video generation models that can handle complex and dynamic scenes.

关键词： Computer vision Computational modeling Ordinary differential equations Aerospace electronics Mathematical models Nonlinear dynamical systems Image sequences

来源：评论

学校读者我要写书评

暂无评论

Advanced Battery Defect Detection Using VisionMaster: A Deep Learning Approach to Enhance Accuracy and Efficiency

Advanced Battery Defect Detection Using VisionMaster: A Deep...

引用

Information Science, Parallel and Distributed Systems (ISPDS), international conference on

作者： Xiaoyan Zhang Jingpeng Hu School of Computing Beijing Institute of TechnologyZhuhai Zhuhai China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

VisionMaster algorithm development platform is a powerful machine vision software. The platform aims to provide users with efficient and convenient algorithm tools to quickly build visual applications and solve complex visual detection challenges, further promoting the deep application and development of machine vision technology. In this study, the process of battery defect detection utilizing the VisionMaster algorithm platform is thoroughly examined. The detection workflow is initiated by acquiring 2D color images of batteries, followed by the collection of 3D depth maps. These imaging modalities are integrated to provide a comprehensive assessment of battery quality. The VisionMaster platform's embedded vision algorithms are discussed in detail, highlighting their role in the quality evaluation process. The visualization of the scanning process, the interpretation of feedback from the vision system, and the corresponding responses from the lower-level control systems are *** from both 2D and 3D camera scans are analyzed to illustrate the advantages and limitations of each method. The study demonstrates the core value of the vision detection system in ensuring quality control in battery manufacturing. The integration of VisionMaster with advanced vision algorithms is shown to significantly enhance the accuracy and reliability of defect detection, thereby improving overall production quality.

关键词： Visualization Accuracy Three-dimensional displays Machine vision Software algorithms Batteries Reliability

来源：评论

学校读者我要写书评

暂无评论

Designing of Smart Home automation Using IoT

Designing of Smart Home Automation Using IoT

引用

international conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)

作者： H.S. Sridhar Sakcham Somvanshi Mansi Ramsinghani Nimishambha H. C. Electrical and Electronics Department Siddaganga Institute of Technology Tumkur Karnataka India

The Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real-world objects through the Internet. When it comes to our homes, this concept can be suitably incorporated to make them smarter, safer and more automated. Therefore, smart home automation is a topic that is gaining popularity day by day due to its advantages. One can quickly achieve automation by connecting home appliances to the Internet or cloud storage. The cloud computing-based platform helps to connect with the things that surround everyone so that they can easily access anything and everything anytime anywhere in a user-friendly way. This IoT paper focuses on building an innovative wireless system that allows the owner to control the appliances of the place. The most important aspect of this system is to incorporate smooth working of the automated appliances via both the internet and the manual control. The ESP 8266 is a low-cost microcontroller that works on a 3.3V dc supply and has integrated Wi-Fi and Bluetooth modules with built-in TCP/IP networking software. It has 17 programmable GPIOs, enough to control all four relays, and two servo motors for the paper. Bell types switches are used for the manual control of the appliances.

关键词： Wireless communication Home appliances Cloud computing automation Smart homes Human factors TCPIP

来源：评论

学校读者我要写书评

暂无评论

Efficient High-Level Synthesis of Approximate computing Circuits via Multi-fidelity Modeling 14

Efficient High-Level Synthesis of Approximate Computing Circ...

引用

14th IEEE international conference on ASIC, ASICON 2021

作者： Li, Yingqi Yang, Fan Yan, Changhao Zeng, Xuan Fudan University State Key Lab of Asic System 201203 China

ISBN: (纸本)9781665411493

High-Level Synthesis (HLS) of approximate computing circuits generates circuits based on functional units such as adders and multipliers. An approximate library containing approximate functional units is firstly built, and then an algorithm is employed to search in the library, solving the binding problem of HLS and finally generating an approximate circuit that meets design specifications. In this paper, we propose a discrete-input and multi-fidelity Bayesian optimization (BO) approach to solve this design space exploration problem. Since the input of the algorithm is discrete functional units in the approximate library, we modify the kernel function of Gaussian process (GP) model in BO. In addition, we adopt a multi-fidelity strategy to speed up the optimization process, which is proved to be effective and efficient according to our experimental results. © 2021 IEEE.

关键词： High level synthesis

来源：评论

学校读者我要写书评

暂无评论

A Next-Gen Approach to Streamlined Canteen Management Systems using Mesa Framework

A Next-Gen Approach to Streamlined Canteen Management System...

引用

international conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Advik Narendran Anantha Hothri Inuguri Manyam Yashaswini Srinidhi Sundaram Manju Khanna Department of Computer Science and Engineering Amrita School of Computing Bangalore Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331505462

ISBN: (纸本)9798331505479

A next-generation canteen management system is proposed that employs intelligent software agents to streamline various tasks, such as order processing and customer service, within canteens. The system automates verification through ID card scanning and OTP authentication, ensuring secure and efficient operations. By integrating agents to manage orders and provide real-time updates, the system enhances the dining experience by reducing manual effort and improving service speed. This smart solution, designed to cater to institutional needs, provides seamless control over canteen processes while enhancing user satisfaction through a modern, technology-driven approach.

关键词： Hands Customer services Authentication process control Manuals Software agents Real-time systems Computational efficiency Information technology Next generation networking

来源：评论

学校读者我要写书评

暂无评论

An Efficient Method for Seeds Classification and Quality Testing Using Fast R-CNN

An Efficient Method for Seeds Classification and Quality Tes...

引用

international conference on Inventive Research in computing Applications (ICIRCA)

作者： S. Ashwini B. Srinivasa Rao Anil Shirgire K. R. Kannan T Ch Anil Kumar G. Sivashankar Department of Computing Technologies School of Computing SRM Institute of Science and Technology Chennai India Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad Telangana India Dr D Y Patil Institute of Technology Pune Maharashtra India Department of ECE Hindusthan Institute of Technology Coimbatore Tamilnadu India Department of Mechanical Engineering Vignan's Foundation for Science Technology and Research Guntur Andhra Pradesh India Department of Computational Intelligence SRM University Chennai Tamilnadu India

Research into agriculture is gaining an increasing attention in recent years. The newest innovations use a variety of computational technology to make agricultural tasks easier. Seed quality is the most important of many factors that determine agricultural output. Further insights into quality manufacturing, seed quality control, and impurity discovery can be gained by proper seed classification. Seeds have traditionally been sorted into different categories based on their appearance (including their color, texture, and shape). This is often done by experts who must visually inspect each sample, which is a laborious and time-consuming process. Seed sorting is a labor-intensive process that can be greatly improved by automating the inspection process. This study presents a classification system for seeds using Fast RCNN, inspired by the success of computational intelligence methods in other image classification challenges. The suggested method includes five stages: wiener filter preprocessing; HE image enhancement; binarization; adaptive watershed segmentation; and Rapid R-CNN model training. The proposed approach outperforms other two models such as CNN and RNN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep neural network algorithm for MPPT control of double diode equation based PV module

Deep neural network algorithm for MPPT control of double dio...

引用

1st international conference on Innovative Technology for Sustainable Development (ICITSD)

作者： Leelavathi, M. Kumar, V. Suresh Thiagarajar Coll Engn Madurai Tamil Nadu India

One of the most promising renewable energy sources (RES) is photovoltaic energy system. It generates power by using a photovoltaic (PV) module. The solar illumination and temperature value are the main parameters for the PV module because a small change can affect the entire power generation. The PV module is based on the double diode equation for extracting unknown parameter values and tracking maximum power point using basic analytical methods (Newton Raphson and Lambert W-function), particle swarm optimization (PSO) and artificial neural network (ANN) algorithms are performed. Then, a deep neural network (DNN) algorithm is proposed in this work for alleviating the disadvantages of the existing methods. Particularly, the DNN algorithm is proposed for reducing the mismatching power loss. Firstly, two-parameter values retrieve from a specific location at NASA open-access source for the year 2020. Then, the parameter values optimization through two analytical methods such as Newton Raphson (NR) and Lambert-W function (W-function) methods. Based on these analytical methods, the characteristic curve is executed. It is compared one among one and also the analytical methods evaluates with soft computing algorithms. The soft computing algorithm represents particle swarm optimization and the artificial neural network. Both the analytical methods and the soft computing algorithms compare for the extraction of the unknown parameter value for the PV module. Then, the existing algorithm is compared with advanced soft computing algorithms. In that deep neural network, the algorithm is implemented for the maximum power point tracking (MPPT) process. The DNN algorithm contains two inputs, three hidden layers and one output. The input neuron is defined with the voltage and current value and the hidden layer contains the sigmoid activation function. The result evaluates in terms of percentage of error for maximum power point (PEmpp). Copyright (C) 2022 Elsevier Ltd. All rights rese

关键词： Deep neural network Soft computing PV module Newton Raphson Lambert-W function Maximum power point tracking

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 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：