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

9 篇 会议

馆藏范围

9 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4 篇 工学
- 4 篇 计算机科学与技术...
- 3 篇 控制科学与工程
- 2 篇 信息与通信工程
- 2 篇 农业工程
- 2 篇 软件工程
- 1 篇 光学工程
- 1 篇 动力工程及工程热...
- 1 篇 土木工程
- 1 篇 石油与天然气工程
- 1 篇 轻工技术与工程
- 1 篇 交通运输工程
- 1 篇 生物工程
2 篇 理学
- 1 篇 大气科学
- 1 篇 生物学
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理
- 1 篇 图书情报与档案管...
1 篇 经济学
- 1 篇 应用经济学

主题

2 篇 sensor systems
2 篇 optical sensors
1 篇 soil measurement...
1 篇 mouth
1 篇 approximation al...
1 篇 self-organizing ...
1 篇 deep learning
1 篇 instruments
1 篇 computational ef...
1 篇 systems engineer...
1 篇 rehabilitation r...
1 篇 cost effectivene...
1 篇 mobile robots
1 篇 computational mo...
1 篇 robot sensing sy...
1 篇 sensor phenomena...
1 篇 human robot inte...
1 篇 analytical model...
1 篇 machine learning
1 篇 robot vision sys...

机构

3 篇 department of el...
3 篇 department of ro...
3 篇 department of el...
2 篇 thammasat school...
2 篇 dhurakij pundit ...
2 篇 rajamangala univ...
1 篇 applied robotics...
1 篇 division of ee d...
1 篇 institute of rob...
1 篇 aass cognitive r...
1 篇 human-friendly w...
1 篇 department of bi...
1 篇 institute of aut...
1 篇 robotic and tech...
1 篇 department of sy...
1 篇 automation and s...
1 篇 institute of int...
1 篇 centre for robot...

作者

3 篇 oradee preutisru...
3 篇 putthiphong kird...
3 篇 wallop tipwong
3 篇 jessada konpang
3 篇 yutana chongjare...
3 篇 adisorn sirikham
2 篇 preutisrunyanont...
2 篇 chongjarearn yut...
2 篇 tipwong wallop
2 篇 konpang jessada
2 篇 kirdpipat putthi...
2 篇 sirikham adisorn
1 篇 morgado-estevez ...
1 篇 yaowei liu
1 篇 xin zhao
1 篇 a. graser
1 篇 galindo cipriano
1 篇 kwang-hyun park
1 篇 dong sun
1 篇 zeungnam bien

语言

9 篇 英文

检索条件"机构=Department of Robotic Engineering and Automation System"

共 9 条记录，以下是1-10 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：

Comparison of Unsupervised Learning Algorithms for K-Means Clustering Efficiency in IoE Sensor Detection systems for Smart Agriculture

Comparison of Unsupervised Learning Algorithms for K-Means C...

引用

International Electrical engineering Congress (iEECON)

作者： Wallop Tipwong Adisorn Sirikham Jessada Konpang Putthiphong Kirdpipat Yutana Chongjarearn Oradee Preutisrunyanont Department of Electrical and Telecommunication Engineering Rajamangala University of Technology Krungthep Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathum Thani Thailand Department of Robotic Engineering and Automation System Dhurakij Pundit University Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This study investigates the application of clustering algorithms to data collected from color sensors providing frequency signals during the cultivation process. Continuous sampling allowed for real-time data collection, and variations in temperature and humidity were observed to influence signal reception. The dataset's large volume and varying sample sizes necessitated the evaluation of several clustering models for efficient data processing. The experiment tested K-Means, K-Means++, Mini-Batch K-Means, and Bisecting K-Means algorithms. The results reveal that the computation time for each model increased with the number of groups. Specifically, the K-Means, K-Means++, and Mini-Batch K-Means models exhibited shorter computation times, ranging from 0.02 to 0.03 seconds for two-group scenarios, while the Bisecting K-Means algorithm took significantly longer, approximately 0.10 seconds. Despite the variation in processing times, all models performed similarly in terms of clustering quality, with an average Silhouette Score of 0.82. This score indicates that the algorithms effectively separated data points into well-defined groups while maintaining high accuracy in clustering. Additionally, the analysis highlighted the importance of balancing computation time and clustering quality, particularly as the number of clusters increases. These findings suggest that while computational efficiency may vary across models, the clustering quality remains robust, providing valuable insights for data analysis in agricultural sensor networks. The study's results demonstrate that each clustering model is capable of handling large datasets with high accuracy in grouping, making them applicable to real-world agricultural data processing scenarios. In conclusion, the experiment confirms that all tested models, despite differing in computation time, successfully partitioned the data with high-quality results, offering promising applications for data analysis and optimization in agricult

关键词： Temperature sensors Analytical models Image color analysis Computational modeling Clustering algorithms Approximation algorithms Data models Sensor systems Computational efficiency Optical sensors

来源：评论

学校读者我要写书评

暂无评论

Inferring robot goals from violations of semantic knowledge

Inferring robot goals from violations of semantic knowledge

引用

作者： Galindo, Cipriano Saffiotti, Alessandro Department of System Engineering and Automation University of Málaga Campus de Teatinos Málaga Spain AASS Cognitive Robotic Systems Lab Örebro University Sweden

A growing body of literature shows that endowing a mobile robot with semantic knowledge and with the ability to reason from this knowledge can greatly increase its capabilities. In this paper, we present a novel use of semantic knowledge, to encode information about how things should be, i.e. norms, and to enable the robot to infer deviations from these norms in order to generate goals to correct these deviations. For instance, if a robot has semantic knowledge that perishable items must be kept in a refrigerator, and it observes a bottle of milk on a table, this robot will generate the goal to bring that bottle into a refrigerator. The key move is to properly encode norms in an ontology so that each norm violation results in a detectable inconsistency. A goal is then generated to bring the world back in a consistent state, and a planner is used to transform this goal into actions. Our approach provides a mobile robot with a limited form of goal autonomy: the ability to derive its own goals to pursue generic aims. We illustrate our approach in a full mobile robot system that integrates a semantic map, a knowledge representation and reasoning system, a task planner, and standard perception and navigation routines. © 2012 Elsevier B.V. All rights reserved.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

A FPGA spike-based robot controlled with neuro-inspired VITE

A FPGA spike-based robot controlled with neuro-inspired VITE

引用

12th International Work-Conference on Artificial Neural Networks, IWANN 2013

作者： Perez-Peña, Fernando Morgado-Estevez, Arturo Linares-Barranco, Alejandro Jiménez-Fernández, Angel Lopez-Coronado, Juan Muñoz-Lozano, Jose Luis Applied Robotics Research Lab University of Cadiz Spain Robotic and Technology of Computers Lab University of Seville Spain Automation and System Engineering Department University Polytechnics of Cartagena Spain

ISBN: (纸本)9783642386787

This paper presents a spike-based control system applied to a fixed robotic platform. Our aim is to take a step forward to a future complete spikes processing architecture, from vision to direct motor actuation. This paper covers the processing and actuation layer over an anthropomorphic robot. In this way, the processing layer uses the neuro-inspired VITE algorithm, for reaching a target, based on PFM taking advantage of spike system information: its frequency. Thus, all the blocks of the system are based on spikes. Each layer is implemented within a FPGA board and spikes communication is codified under the AER protocol. The results show an accurate behavior of the robotic platform with 6-bit resolution for a 130° range per joint, and an automatic speed control of the algorithm. Up to 96 motor controllers could be integrated in the same FPGA, allowing the positioning and object grasping by more complex anthropomorphic robots. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

A Novel Determination of Soluble NPK Nutrient Measurement system Using K-means and SOM Methods Compared with UV Visible Spectrophotometer

A Novel Determination of Soluble NPK Nutrient Measurement Sy...

引用

2023 International Electrical engineering Congress, iEECON 2023

作者： Tipwong, Wallop Sirikham, Adisorn Konpang, Jessada Kirdpipat, Putthiphong Chongjarearn, Yutana Preutisrunyanont, Oradee Rajamangala University of Technology Krungthep Department of Electrical and Telecommunication Engineering Bangkok Thailand Thammasat School of Engineering Thammasat University Faculty of Engineering Department of Electrical and Computer Engineering Pathum Thani Thailand Dhurakij Pundit University Department of Robotic Engineering and Automation System Bangkok Thailand

ISBN: (纸本)9798350332360

Technologies are currently being used in smart farms to improve productivity. Agricultural innovation is also widespread. Therefore, the development of Internet of Things (IoTs) technologies and devices to collect data is important. Finding essential nutrients for growth such as Nitrogen (N), Phosphorus (P) and Potassium (K) are important factors. Competitiveness is the important key for growing vertically or indoors. However, soil testing can be expensive, complicated and time consuming. The development of devices that can effectively measure nutrient NPK levels could be used over time. This paper presents a suitable clustering using the K-means method and a forecasting method using the Self-Organizing Map (SOM) method to enhance the device's ability to analyze nutrients in real time. A total of 50,688 samples were tested using the K-Means clustering algorithm, and the sample data were also analyzed. A SOM was prepared to predict the accuracy of the analysis. A total of 11,486 samples were tested and analyzed, then the results of the soluble NPK nutrient monitoring system were taken. It has an efficiency of 84.15% compared to using a UV Visible spectrophotometer, allowing data to be predicted during nutrient solubility changes and to operate according to the proposed system. Therefore, the unsupervised machine learning will improve the measurement system of future cultivation systems. © 2023 IEEE.

关键词： Nutrients

来源：评论

学校读者我要写书评

暂无评论

A New Technique of Soluble NPK Nutrient Detection system Using Deep Learning-Based Recurrent Neural Networks (RNN) 12

A New Technique of Soluble NPK Nutrient Detection System Usi...

引用

12th International Electrical engineering Congress, iEECON 2024

作者： Tipwong, Wallop Sirikham, Adisorn Konpang, Jessada Kirdpipat, Putthiphong Chongjarearn, Yutana Preutisrunyanont, Oradee Rajamangala University Of Technology Krungthep Department Of Electrical And Telecommunication Engineering Bangkok Thailand Thammasat School Of Engineering Thammasat University Faculty Of Engineering Department Of Electrical And Computer Engineering Pathum Thani Thailand Dhurakij Pundit University Department Of Robotic Engineering And Automation System Bangkok Thailand

ISBN: (纸本)9798350383591

Modern agriculture relies heavily on effective process monitoring, control, and remote data collection, making accurate and cost-effective sensors crucial for innovation. This research focuses on the development of a spectroscopy-based device for real-time and remote monitoring of nutrient levels in hydroponic systems. The device utilizes IoT architecture, incorporating principles of light absorbance to quantify concentrations of essential nutrients during crop growth. Three deep learning techniques, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) were adopted for data analysis. Results demonstrate that tailored implementation of deep learning can significantly enhance the performance of sensor network system (SNS). Specifically, the RNN format achieved an impressive 98% model accuracy during both training and testing phases. The technological advancements in addressing contract variation and photometric levels contribute to increased accuracy as more sensors become available. The findings serve as a comprehensive guide for collecting extensive agricultural data, encompassing environmental factors throughout the entire cultivation period, using state-of-the-art remote control sensor equipment. This work provides a practical, efficient, and cost-effective solution for precise nutrient control and continuous data monitoring in agricultural production. © 2024 IEEE.

关键词： Cost effectiveness

来源：评论

学校读者我要写书评

暂无评论

A Novel Determination of Soluble NPK Nutrient Measurement system Using K-means and SOM Methods Compared with UV Visible Spectrophotometer

A Novel Determination of Soluble NPK Nutrient Measurement Sy...

引用

International Electrical engineering Congress (iEECON)

关键词： Self-organizing feature maps Technological innovation Soil measurements Instruments Machine learning Time measurement Optical sensors

来源：评论

学校读者我要写书评

暂无评论

A New Technique of Soluble NPK Nutrient Detection system Using Deep Learning-Based Recurrent Neural Networks (RNN)

A New Technique of Soluble NPK Nutrient Detection System Usi...

引用

International Electrical engineering Congress (iEECON)

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

关键词： Deep learning Training Recurrent neural networks Sensor phenomena and characterization Sensor systems Environmental factors Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Multi sensors-based approach for intention reading with soft computing techniques

Multi sensors-based approach for intention reading with soft...

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Zeungnam Bien Dae-Jin Kim Hyong-Euk Lee Kwang-Hyun Park Haiying She C. Martens A. Graser Division of EE Department of EECS KAIST Daejeon South Korea Human-friendly Welfare Robotic System Engineering Research Center KAIST Daejeon South Korea Institute of Automation University of Brethemen Bremen Germany

Human's intention plays a key role in human-machine interaction as in the case of a robot serving for a handicapped person. The quality of a service robot will be much enhanced if the robot can infer the human's intension during the interaction process. In this paper, we propose a soft computing-based technique to read a user's intention using some multisensors-based approach. We have tested the technique by a scenario of 'serving a drink to the user'. With such force/torque or vision sensor, the robot can effectively infer the user's intention to drink the beverage or not to drink. As an application, this intention technique is employed for building a rehabilitation robot, called KARES II, to perform various human-friendly human-robot interaction.

关键词： Robot sensing systems Rehabilitation robotics Human robot interaction robotics and automation Mobile robots Service robots systems engineering and theory Testing Robot vision systems Mouth

来源：评论

学校读者我要写书评

暂无评论

robotic Single-Micropipette Enucleation Method for Zona-free Oocytes

Robotic Single-Micropipette Enucleation Method for Zona-free...

引用

Chinese Control Conference (CCC)

作者： Yidi Zhang Yaowei Liu Minghui Li Dong Sun Xin Zhao Institute of Robotics and Automatic Information System (IRAIS) and the Tianjin Key Laboratory of Intelligent Robotic (tjKLIR) Nankai University Tianjin China Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen China Centre for Robotics and Automation Shenzhen Research Institute City University of Hong Kong Shenzhen China

Somatic cell nuclear transfer is a mammalian cloning method that involves replacing the oocyte nucleus with a somatic cell nucleus. One of the most critical steps in this process is the efficient production of large numbers of enucleated oocytes. While a single-micropipette-based manual enucleation method has been widely used in manual cloning, it is still a manual operation that requires exceptional technical skills and experience. Additionally, it is difficult to accurately control the amount of enucleation and to meet the demand for high-throughput enucleation. Therefore, we propose a robotic enucleation method using a single micropipette for zona-free oocytes, which allows for the detection and control of the amount of enucleation, as well as continuous enucleation on a large scale. A single oocyte enucleation can be completed in less than 13 seconds. This robotic enucleation method provides a solution for enhancing the operational efficiency of robotic somatic cell nuclear transfer.

关键词：

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1页 << < 1 > >>

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：