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

35,521 篇 会议
810 册 图书
640 篇 期刊文献
1 篇 学位论文

馆藏范围

36,971 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

20,923 篇 工学
- 15,810 篇 计算机科学与技术...
- 11,570 篇 软件工程
- 4,368 篇 机械工程
- 3,767 篇 控制科学与工程
- 2,827 篇 信息与通信工程
- 2,599 篇 电气工程
- 1,312 篇 生物工程
- 1,116 篇 化学工程与技术
- 1,096 篇 材料科学与工程（可...
- 1,094 篇 生物医学工程（可授...
- 1,067 篇 电子科学与技术（可...
- 989 篇 冶金工程
- 952 篇 动力工程及工程热...
- 818 篇 仪器科学与技术
- 732 篇 建筑学
- 728 篇 土木工程
- 656 篇 安全科学与工程
- 638 篇 交通运输工程
8,658 篇 管理学
- 6,504 篇 管理科学与工程(可...
- 2,957 篇 图书情报与档案管...
- 2,796 篇 工商管理
6,928 篇 理学
- 3,899 篇 数学
- 1,410 篇 生物学
- 1,383 篇 统计学（可授理学、...
- 1,333 篇 物理学
- 1,064 篇 系统科学
- 887 篇 化学
1,061 篇 医学
- 918 篇 临床医学
- 819 篇 基础医学(可授医学...
991 篇 经济学
- 975 篇 应用经济学
655 篇 法学
601 篇 教育学
336 篇 农学
91 篇 文学
61 篇 军事学
29 篇 艺术学
4 篇 历史学
2 篇 哲学

主题

2,773 篇 data mining
1,674 篇 knowledge engine...
1,421 篇 data models
1,108 篇 manufacturing
1,080 篇 knowledge based ...
952 篇 artificial intel...
869 篇 real-time system...
818 篇 machine learning
810 篇 training
741 篇 accuracy
703 篇 computational mo...
686 篇 feature extracti...
644 篇 neural networks
640 篇 databases
628 篇 predictive model...
550 篇 semantics
537 篇 data engineering
521 篇 knowledge manage...
509 篇 big data
501 篇 decision making

机构

79 篇 lovely professio...
58 篇 school of comput...
52 篇 chitkara univers...
30 篇 school of comput...
28 篇 college of infor...
27 篇 department of el...
25 篇 school of inform...
23 篇 school of automa...
21 篇 al-nisour univer...
19 篇 school of comput...
19 篇 school of comput...
19 篇 school of comput...
17 篇 school of inform...
16 篇 school of mechan...
16 篇 department of ma...
15 篇 school of comput...
15 篇 school of mechat...
15 篇 lloyd institute ...
15 篇 school of comput...
15 篇 school of comput...

作者

27 篇 deepak gerard
26 篇 li li
26 篇 liu yang
24 篇 bernady o. apduh...
24 篇 robert j. howlet...
21 篇 l. horvath
19 篇 huang george q.
19 篇 meixner kristof
19 篇 liu ying
17 篇 yu wang
17 篇 amit joshi
16 篇 lei wang
16 篇 zhang tao
16 篇 alexander verl
16 篇 stefan biffl
16 篇 wang lei
16 篇 li yang
16 篇 wang hui
16 篇 arndt lüder
16 篇 xiang li

语言

35,529 篇 英文
1,299 篇 其他
168 篇 中文
3 篇 西班牙文
3 篇 葡萄牙文
3 篇 俄文
1 篇 捷克文
1 篇 斯洛伐克文

检索条件"任意字段=International Conference on Data and Knowledge Systems for Manufacturing and Engineering"

共 36972 条记录，以下是4921-4930 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：

Event-Based data Acquisition for Production Process Analyses: A Systematic Mapping Study 13

Event-Based Data Acquisition for Production Process Analyses...

引用

13th international conference on Computer and Automation engineering (ICCAE)

作者： Telatko, Rocky Maurer, Georg Reichelt, Dirk Univ Appl Sci Informat Math Dresden Germany

ISBN: (纸本)9781665412957

The aspiration on modern manufacturing sy stems is raising. One reason is the goal of interconnected systems and a striving for a high degree of automation. data should be as available every where to make production as transparent and efficient as possible. A process can only he controlled if its behavior can be measured. Intuition gives a direction, data contain know ledge. The term Industry 4.0 covers the contents of the first sentences, but the recognizable benefits have their risks. The increase in technical complesity in combination with already existing process inconsistencies requires mechanisms which identify the causes for deviations between the production program plan and the actual values. Due to the fact that manufacturing systems are optimized continuously, the analyses of the systems with current available data volumes is used comparatively little. Our research project claims on this gap. The idea is to analyse operating states of machines with regard to the period a machine is in a certain state. This can be realised via automated monitoring. As an example, if the required processing time fluctuates regularly and does not relate to the schedule, there is room for improvement. Same for other machine states. In first stage, we focus on the machine runtime In dividing it into production-relev ant parts to detect variations in times. The detection of variation contains potential for improvement In this paper a systematic mapping study is carried out. The focus is to give an overview of current research on - especially event-based - data acquisition and analyses of initially discrete production machines. In addition, the purposes of data acquisition, the analyses of machine runtime data and the way of implementation are considered. By reviewing and extracting information from current publications, the research questions from this paper will be answered and further research gaps identified.

关键词： data acquisition event-besed information and decision systems manufacturing improvement manufacturing systems process analyses signal processing

来源：评论

学校读者我要写书评

暂无评论

Research on Body Material and Process Optimization Based on Big data and Deep Learning

Research on Body Material and Process Optimization Based on ...

引用

Electronics, Energy systems and Power engineering (EESPE), IEEE international conference on

作者： Wu Jixia Qin Lipeng Qiu Zhen China AutoMedia (Tianjin) Co. Ltd. Tianjin China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This study takes body material and process optimization as the core, and proposes an efficient anomaly detection algorithm and optimization scheme. By constructing a deep learning model, a large amount of data in the body production process is feature extracted and analyzed to achieve precise control of material and process parameters. The designed anomaly detection algorithm can monitor the quality changes of body materials in real time during production, effectively identify and exclude abnormal data, thereby improving the reliability and consistency of the production process. CNN and LSTM are used to model the production data, and the strength, toughness and other key performance indicators of the body material are predicted and analyzed through adaptive optimization parameters. In the simulation stage, the model is verified by combining multiple materials and process parameters. The experimental results show that the optimization model based on deep learning significantly improves the performance in body material selection and process control, and its prediction accuracy reaches more than 97%. Further data analysis shows that the model can effectively reduce manufacturing costs and shorten production cycles, providing reliable technical support for the intelligent and precise development of the automobile manufacturing industry.

关键词： Deep learning Analytical models Accuracy Process control Production Predictive models data models Real-time systems Optimization Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

The Application of Convolutional Neural Network-Based Biological Radar Signal Classification Algorithm in Multi-target Vital Sign Detection 5th

The Application of Convolutional Neural Network-Based Biolog...

引用

5th international conference on Real Time Intelligent systems, RTIS 2023

作者： Yuan, Hongbin Yuan, Chenyao Cao, Huiqun School of Telecommunications and Intelligent Manufacturing Sias University Henan Zhengzhou China School of Computer and Software Engineering Sias University Henan Zhengzhou China Academic Affairs Office of Kaifeng Modern Technology Secondary Vocational and Technical School Henan Kaifeng China

ISBN: (纸本)9783031558474

In recent years, with technological advancements, biological radar has been widely used in various environments for safety monitoring, health monitoring, environmental pollution control, air pollution monitoring, water pollution monitoring, air quality monitoring, food safety monitoring, water source pollution monitoring, and more. We can effectively separate and suppress motion noise through PCA technology while utilizing GoogLeNet technology to predict the number of moving targets in different environments accurately. Additionally, we introduce a novel Differential-Cross-Multiplication and State Space Method (DACM-SSM) to better explore and identify human identities. Experimental results demonstrate that this new algorithm significantly improves operational efficiency, resists data loss caused by random shifts in breathing and heartbeat, and mitigates interference from breathing harmonics. It reduces the complexity of current algorithms and saves more computational power, leading to more precise conclusions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： State space methods

来源：评论

学校读者我要写书评

暂无评论

High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models 27

High-Dimensional Fault Tolerance Testing of Highly Automated...

引用

27th IEEE international conference on Intelligent Transportation systems, ITSC 2024

作者： Mei, Yuewen Nie, Tong Sun, Jian Tian, Ye Ministry of Education Tongji University Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering Shanghai201804 China

ISBN: (纸本)9798331505929

Ensuring fault tolerance of Highly Automated Vehicles (HAVs) is crucial for their safety due to the presence of potentially severe faults. Hence, Fault Injection (FI) testing is conducted by practitioners to evaluate the safety level of HAVs. To fully cover test cases, various driving scenarios and fault settings should be considered. However, due to numerous combinations of test scenarios and fault settings, the testing space can be complex and high-dimensional. In addition, evaluating performance in all newly added scenarios is resourceconsuming. The rarity of critical faults that can cause security problems further strengthens the challenge. To address these challenges, we propose to accelerate FI testing under the lowrank Smoothness Regularized Matrix Factorization (SRMF) framework. We first organize the sparse evaluated data into a structured matrix based on its safety values. Then the untested values are estimated by the correlation captured by the matrix structure. To address high dimensionality, a low-rank constraint is imposed on the testing space. To exploit the relationships between existing scenarios and new scenarios and capture the local regularity of critical faults, three types of smoothness regularization are further designed as a complement. We conduct experiments on car following and cut in scenarios. The results indicate that SRMF has the lowest prediction error in various scenarios and is capable of predicting rare critical faults compared to other machine learning models. In addition, SRMF can achieve 1171 acceleration rate, 9 9. 3 % precision and 9 1. 1 % F1 score in identifying critical faults. To the best of our knowledge, this is the first work to introduce low-rank models to FI testing of HAVs. © 2024 IEEE.

关键词： Matrix factorization

来源：评论

学校读者我要写书评

暂无评论

Seamless Machine Learning Models to Detect Faulty Solar Panels 3

Seamless Machine Learning Models to Detect Faulty Solar Pane...

引用

3rd IEEE international conference on Electronic engineering, ICEEM 2023

作者： Elgamal, Muhammad Abdelmaksoud, Ahmed Ismail, Yehea The American University in Cairo Center of Nanoelectronics and Devices Cairo Egypt The American University in Cairo Department of Electronics and Communication Engineering Cairo Egypt

ISBN: (纸本)9798350323511

Photovoltaic energy is a renewable source that provides good opportunities for investments by manufacturing and deployment companies. Several management paradigms exist to monitor solar stations, most importantly industry 4.0 technology, which incorporates the internet of things (IoT) and machine learning (ML), among others, to provide commercial systems for fault detection and localization. We compare various ML models based on their capability of classifying faulty and functional solar panels from their measured current-voltage (IV) curves. Regularly, one needs to compare the measurements taken in the field to the values projected from the datasheets of the solar panel. This method is sensitive to the accuracy of measuring devices (i.e., characterizers) attached to each panel in our photovoltaic 4.0 monitoring technology. However, we depend solely on the historical measurements of each panel when it is faulty or functional (possibly by imitating operational faults), and we do not care about the quality of characterizers (an issue raised when we depend on datasheet performance), and then we can successfully detect operation faults. By depending on many features extracted from IV curves, we can use several ML algorithms. However, we can depend on lesser features and an even smaller training dataset. Among our tried models, we found random forest to be the most successful ML model for classification. Additionally, it is insensitive to the reduction of the training dataset and suitable for data augmentation techniques like SMOTE (Synthetic Minority Oversampling Technique). © 2023 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Change Detection Algorithm for Vegetation Mapping Using Multispectral Image Processing 7th

Change Detection Algorithm for Vegetation Mapping Using Mult...

引用

7th international conference on Inventive systems and Control, ICISC 2023

作者： Soujitha, Neelam B. V. D. Jaha, Mohammad Neelofar Raju, Mahali Tirumala Victor, Kakumanu Christy Vaddi, Radhesyam Department of IT VR Siddhartha Engineering College JNTU-Kakinada Vijayawada India

ISBN: (纸本)9789819916238

Agriculture is an important sector of the world. Agriculture’s contribution to the nation’s prosperity cannot be overlooked, despite the industry’s significant role in the global economy. Agriculture in any geographic area is constantly changing. Changes are detected to build a knowledge base in a bid to ensure that certain agricultural traits are preserved in particular location. The process of identifying differences in two different places is known as change detection. This method is typically used to change the earth’s surface two or more times. Here, the primary source of data is geographic which is taken from Google Earth Engine (GEE) and is typically in digital (e.g., satellite imagery) can be used. The history of change detection begins with the history of remote sensing. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Geographic information systems

来源：评论

学校读者我要写书评

暂无评论

Concept Maps as a Support for Learning: A Proposal from the Consent for the Processing of Personal data in Private Organizations 3rd

Concept Maps as a Support for Learning: A Proposal from the ...

引用

3rd EAI international conference on data and Information in Online Environments (DIONE)

作者： Ferreira, Herbert Alcantara de Sales, Rodrigo Univ Estadual Montes Claros Montes Claros Brazil Univ Fed Santa Catarina Florianopolis Brazil

ISBN: (纸本)9783031223235;9783031223242

knowledge Organization has knowledge Organization systems (KOS) to represent, organize and retrieve information. Among these systems are the concept maps, which represent ideas from the illustration of concepts that are linked together. Originating from pedagogy, concept maps began to be used in several areas as learning methods, including in the context of private institutions. Therefore, the demand to implement the rules of the Brazilian General Law for Personal data Protection (LGPD in Portuguese) requires learning from agents involved in the treatment of this type of data, especially in corporations. The general objective of this article is to prepare a concept map that represents the main rules of the LGPD regarding personal data processed based on the consent of its data subjects. As specific objectives, it seeks to investigate the main characteristics and typologies of concept maps, in addition to analyzing the aspects and fundamental rules of the LGPD. The purpose of the proposal is to use the map to study the aforementioned law. The methodology of construction of input and output concept maps was used, in addition to data Life Cycle, which interprets the "life" of data in four phases: collection, storage, retrieval and disposal. As a result, a simplified map was arrived at, but with a broad view of personal datamanagement from collection to disposal. The constructed map serves as a representative model of the treatment addressed and can be adjusted according to the needs of each institution.

关键词： knowledge organization Concept maps General law for personal data protection

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Energy Consumption Between Visual Scripting models and C plus plus in Unreal Engine: Raising Awareness on the importance of Green MDD 24

A Comparative Analysis of Energy Consumption Between Visual ...

引用

27th international conference on Model Driven engineering Languages and systems (MODELS)

作者： Veron, Javier Perez, Carlos Calero, Coral Moraga, Ma Angeles Perez, Francisca Cetina, Carlos Univ San Jorge SVIT Res Grp Villanueva De Gallego Spain Univ Castilla La Mancha Alarcos Res Grp Ciudad Real Spain

ISBN: (纸本)9798400705045

Video game engines are used in most modern video games because they simplify and speed up development. In addition, some of the most popular engines, such as Unreal Engine 5 (UE5), also integrate visual scripting tools. Visual scripting in UE5, through Blueprints, is a model-driven development approach that replaces text code, like C++, with a visual language of interconnected nodes representing functions and data flows, forming a flowchart-like logic diagram. This approach simplifies game development by abstracting complex code into intuitive, visual models, enabling creators to construct and iterate game components without extensive programming knowledge. Although Blueprint models usually decrease the complexity of implementing components, thus accelerating the development, they might lead to less energy-efficient runtime performance than C++. In this work, we evaluate the energy consumption of three relevant video game components (health system management, inputs processing, and collections operations for an inventory), each implemented with Blueprint models and C++. The results show that the energy consumption per frame when using C++ is up to 48% lower than when using Blueprint models. The combination of artistic and technical profiles in video game developments has favoured the adoption of Blueprint models. However, there is a lack of works analyzing the energy consumption. Until this work, there was no evidence that the success of models for developing video games, like the one under study in this work, was accompanied by a cost in energy consumption for certain situations. Given the huge popularity of video games, this cost in energy might reach up to the equivalent of the energy consumption of 28 million European households.

关键词： Energy consumption Video Games Green software Green Video Games Software sustainability Game Engines Unreal Engine Software Models Visual Scripting Blueprints C plus Game Software engineering

来源：评论

学校读者我要写书评

暂无评论

Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots 19

Artificial Neural Network Guided Compensation of Nonlinear P...

引用

19th IEEE international conference on Automation Science and engineering, CASE 2023

作者： Raible, Julian Rettig, Oliver Alt, Benjamin Yaman, Alper Gauger, Isabelle Biasi, Lorenzo Müller, Silvan Katic, Darko Strand, Marcus Huber, Marco F. Institute of Industrial Manufacturing and Management Iff University of Stuttgart Stuttgart70569 Germany Baden-Württemberg Cooperative State University Karlsruhe76133 Germany ArtiMinds Robotics GmbH Karlsruhe76131 Germany Stuttgart70569 Germany

ISBN: (纸本)9798350320695

The absolute accuracy of industrial robots is influ-enced by numerous geometric and non-geometric errors. Most state-of-the-art calibration and compensation methods consider only the geometric errors and neglect the non-geometric ones. In this paper, a hybrid compensation approach is proposed that combines well-known kinematic models with a model-free data-driven component using a neural network. This allows the use of established calibration methods for the geometric influences captured in the kinematic model to improve the non-geometric error compensation by the neural network. The proposed approach is applied in two use cases: payload and wear compensation. Simulations and real experiments show the improved absolute accuracy of the hybrid compensation approach compared to classical calibration methods. © 2023 IEEE.

关键词： Error compensation

来源：评论

学校读者我要写书评

暂无评论

A Study of Human Resource Management Optimization Strategies Based on Artificial Intelligence

A Study of Human Resource Management Optimization Strategies...

引用

2024 international conference on Innovative Design and Intelligent manufacturing, IDIM 2024

作者： Wu, Xin Lai, Yan School of Economics and Management Shaanxi Fashion Engineering University Shaanxi 712046 China

ISBN: (纸本)9781643685427

In order to solve the problem of system calculation errors in traditional human resources information management systems, research on human resource management optimization strategies based on artificial intelligence is proposed. This paper first builds a behavior record matrix based on the Hadoop distributed architecture platform using employees' satisfaction with the company's projects, and then analyzes and designs a system suitable for human resources information management through the collaborative filtering algorithm to achieve parameter setting and partitioning. Comprehensive management of five major modules: management, staff management, user management and production management. Finally, a specific experimental analysis was conducted on the human resources information management system. The experimental results show that when 1571 employees generate 28325 employee rating records, the system response times of 2 nodes and 3 nodes are 7.4s and 4.8s respectively, which are significantly shorter than the non-distributed algorithm. At the same time, the collaborative filtering algorithm is faster than the non-distributed algorithm. The MSE and MPE of the formula algorithm are 0.39% and 0.52% smaller respectively. Conclusion: The collaborative filtering algorithm in this study can be competent for the data distributed computing tasks of human resource management systems. © 2024 The Authors.

关键词： Collaborative filtering

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 << < 489 490 491 492 493 494 495 496 497 498 > >>

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：