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

3,172 篇 会议
42 册 图书
25 篇 期刊文献

馆藏范围

3,239 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,212 篇 工学
- 2,032 篇 计算机科学与技术...
- 1,327 篇 软件工程
- 418 篇 信息与通信工程
- 339 篇 电气工程
- 302 篇 控制科学与工程
- 153 篇 机械工程
- 128 篇 生物工程
- 124 篇 交通运输工程
- 116 篇 动力工程及工程热...
- 110 篇 生物医学工程（可授...
- 102 篇 安全科学与工程
- 81 篇 环境科学与工程（可...
- 72 篇 仪器科学与技术
- 70 篇 建筑学
- 67 篇 电子科学与技术（可...
675 篇 管理学
- 513 篇 管理科学与工程(可...
- 312 篇 工商管理
- 250 篇 图书情报与档案管...
498 篇 理学
- 244 篇 数学
- 138 篇 生物学
- 96 篇 统计学（可授理学、...
- 73 篇 系统科学
- 64 篇 物理学
152 篇 医学
- 142 篇 临床医学
- 132 篇 基础医学(可授医学...
- 76 篇 药学(可授医学、理...
- 75 篇 公共卫生与预防医...
138 篇 法学
- 105 篇 社会学
114 篇 经济学
- 113 篇 应用经济学
67 篇 教育学
- 67 篇 教育学
63 篇 农学
2 篇 文学
2 篇 军事学

主题

376 篇 big data
257 篇 internet of thin...
227 篇 cloud computing
133 篇 machine learning
129 篇 edge computing
123 篇 real-time system...
103 篇 data analytics
97 篇 artificial intel...
95 篇 smart cities
93 篇 intelligent sens...
84 篇 monitoring
81 篇 data models
79 篇 smart city
78 篇 data mining
74 篇 blockchain
71 篇 predictive analy...
64 篇 sensors
63 篇 deep learning
59 篇 iot
58 篇 security

机构

14 篇 jilin engineerin...
9 篇 hubei province k...
8 篇 school of comput...
8 篇 fujian provincia...
7 篇 institute for in...
7 篇 chitkara univers...
7 篇 liaoning jianzhu...
7 篇 school of econom...
6 篇 college of compu...
6 篇 fuzhou universit...
6 篇 symbiosis instit...
5 篇 china electric p...
5 篇 school of big da...
5 篇 luoyang normal u...
5 篇 smart agricultur...
5 篇 comsats univ isl...
5 篇 college of mecha...
5 篇 guangzhou colleg...
5 篇 electrical and i...
5 篇 university of ma...

作者

18 篇 javaid nadeem
9 篇 xu hongsheng
8 篇 leung carson k.
7 篇 zeng zeng
7 篇 xu xiaolong
7 篇 chang kuo-chi
7 篇 ramakrishnan ram...
6 篇 tang you
6 篇 doukovska lyubka
6 篇 wang wei
6 篇 cuzzocrea alfred...
5 篇 liu yang
5 篇 silva jesús
5 篇 vikrant bhateja
5 篇 fan ganglong
5 篇 vale zita
5 篇 qiu meikang
5 篇 cristea valentin
5 篇 stoyanov stanimi...
5 篇 wang yong

语言

3,182 篇 英文
46 篇 其他
20 篇 中文

检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3239 条记录，以下是3091-3100 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：

Advances in Internet of Things (IoT) in Manufacturing

Advances in Internet of Things (IoT) in Manufacturing

引用

international IFIP WG 5.7 conference on Advances in Production Management Systems (APMS)

作者： Badarinath, Rakshith Prabhu, Vittaldas V. Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)9783319669236;9783319669229

As a promising technology with increased adoption in recent years, Internet of Things (IoT) realizes ubiquitous interconnection of physical devices through internet, opening doors for building powerful industrial applications by leveraging the advances in sensor technology and wireless networks. IoT technologies can be viewed as enablers for smart manufacturing and Industry 4.0. This review paper focuses on applications of IoT in manufacturing, which is also known as Industrial Internet of Things IIoT. To that end, technologies relevant to the application of IoT in manufacturing, such as wireless sensor networks (WSNs), smart sensors, big data analytics, and cloud computing are discussed. A service oriented architecture (SOA) based four-layer model for realizing IoT applications in manufacturing is proposed. Finally, a review of the state of art of IoT applications in manufacturing including shop floor automation, predictive maintenance, energy aware manufacturing, and smart workers is presented with relevant industry use cases.

关键词： Industrial Internet of Things (IIoT) Big data analytics Wireless sensor networks (WSN) Predictive maintenance Energy aware manufacturing SOA smart manufacturing Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Informatics solutions for smart trading on wholesale electricity markets containing RES bidders 17

Informatics solutions for smart trading on wholesale electri...

引用

18th international conference on Computer Systems and Technologies, CompSysTech 2017

作者： Bara, Adela Oprea, Simona Vasilica Uta, Adina Tor, Osman Bulent Cebeci, Mahmut Erkut Economic Informatics Department Faculty of Cybernetics Statistics and Economic Informatics Bucharest University of Economic Studies Romania EPRA - Engineering Procurement Research Analysis Ankara Turkey

ISBN: (纸本)9781450352345

This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market. © 2017 Association for computing Machinery.

关键词： Power markets

来源：评论

学校读者我要写书评

暂无评论

Reference Architecture for a Collaborative Predictive Platform for smart Maintenance in Manufacturing

Reference Architecture for a Collaborative Predictive Platfo...

引用

IEEE international conference on intelligent Engineering Systems

作者： Z. Balogh E. Gatial J. Barbosa P. Leitao T. Matejka Department of Parallel and Distributed Computing Institute of Informatics Bratislava Slovakia Polytechnic Institute of Bragança Bragança Portugal Mat-obaly s.r.o. Prievidza Slovakia

Maintenance is a key factor to ensure the production efficiency, since the occurrence of unexpected failures leads to a degradation of the system performance, causing the loss of productivity and business opportunities, which are crucial roles to achieve competitiveness. The article aims to propose a reference architecture which will improve the way maintenance is considered in the current manufacturing world, by enabling an overall increase of production rates, while increasing the operational equipment effectiveness and decreasing the impact of maintenance needs. This objective would be accomplished by establishing an IoT infrastructure for the collection of the huge amount of available shop floor data, which can be analyzed, considering data analytics algorithms, predictive maintenance models and forecasting techniques, to perform the machine/system health assessment and prediction of maintenance needs, e.g. by detecting earlier the occurrence of possible failures and consequently the need to implement maintenance interventions. The scheduling of predictive maintenance needs will be integrated with the existing maintenance planning tools, and especially synchronized with the production planning tools to achieve a nondisruptive maintenance impact in the production system. A cloud-based collaborative maintenance services platform allows the secure collection, aggregation and analysis of a large amount of shared data from numerous manufacturers that use the same or similar machinery, and acts as an open market where companies can contract specialized maintenance services. This reference architecture aims to provide replicable architecture to be broadly applicable in a variety of industries, capable to improve the production efficiency through a real-time health monitoring and early detection of failures and outages, to speed up the maintenance delivery, and consequently mitigate their impact.

关键词： Predictive maintenance Manufacturing Collaboration Production facilities Sensors

来源：评论

学校读者我要写书评

暂无评论

IoT enabled home with smart security

IoT enabled home with smart security

引用

2017 international conference on Energy, Communication, data analytics and Soft computing, ICECDS 2017

作者： Chandra, M.L. Ravi Kumar, B. Varun Sureshbabu, B. Dept. of ECE Srinivasa Ramanujan Institute of Technology AnanthapuramuA.P India

ISBN: (纸本)9781538618868

The IoT enabled with smart security system presents security to the home and also providing a facility to the user where one can continuously monitor the surrounding parameters inside the house (like temperature, smoke and light intensity) and can control them by collection and exchange of data between the things for example switching on/off devices (like fan and light based on these parameters). In recent days when ever house is locked the break-ins number has been increased enormously. So in order to provide security to the home this presented paper is helpful. When the intruders enters into the house, image of the intruder is captured by the system, even if intruder escapes Police need to caught the intruder to recover the stolen things which needs the picture of the intruder to the police. The planned system captures the picture of the intruder and sends it to the authorized mail through internet over Simple Mail Transfer Protocol (SMTP). So security to the home is provided more effectively in the smart way of communicating the things. Home appliances are smartly automated to reduce the human effort for intelligent decisions with the help of Internet Of Things (IoT). This compact and lightweight product is designed to provide security and to control home appliances in the house by the owner through IoT servers. Microcontroller used here is Raspberry Pi3 for all processing and controlling operations. Various sensors such as LM35 a temperature sensor, Light Dependent Resistor, PIR sensor with a magnetic door switch, smoke sensor are interfaced to pi General Purpose Input Output port pins through Analog to Digital Converter module along with a camera and LAN connection is interfaced to the pi board. © 2017 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

smart rainwater management systems powered by the internet of things: A UK case study 15

Smart rainwater management systems powered by the internet o...

引用

15th international conference on computing and Control for the Water Industry, CCWI 2017

作者： Rezaei, Hossein Melville-Shreeve, Peter Butler, David Over the Air Analytics Limited Innovation Centre Rennes Drive Exeter United Kingdom Centre for Water Systems College of Eng. Maths and Physical Sciences University of Exeter United Kingdom

Climate change is projected to significantly alter existing rainfall patterns. Traditional water and wastewater assets are unlikely to be able to respond to such events, particularly when factoring in increasing population growth. Novel source control and non-potable use strategies are required to limit the impacts of extreme events on water resources. A novel, smart Rainwater Management System (RMS) was developed by Over the Air analytics Ltd. building on research conducted at University of Exeter. The technology sees the commercial application of emerging Internet of Things (IoT) protocols and communication platforms to manage rainwater at source to mitigate flooding and provide alternative water resources in urban settings. With new technologies in data gathering, communications, power management, and associated software, IoT systems can enable real-time management of water sector assets. In addition, the reducing cost of such technologies is enabling their deployment in a widening set of technical niches. In this paper, results from a trial with the Future Cities Catapult (London) are presented including high resolution data acquisition and analysis of an innovative smart RMS. Over a 4-month trial period, at a residential property, the smart RMS successfully attenuated the rainfall from several storm events, whilst enabling rainwater reuse for non-potable applications (i.e. WC flushing). Despite some gaps in the data, due to power and connectivity disruptions, the system showed a high degree of reliability, with little downtime. The study concludes that the use of IoT in RMS shows potential to increase the flexibility and resilience of water and wastewater assets by adapting to the challenges of climate changes in an affordable, reliable and scalable system. © 2020 CCWI 2017 - 15th international conference on computing and Control for the Water Industry. All rights reserved.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Big data Challenges and Opportunities in the Hype of Industry 4.0

Big Data Challenges and Opportunities in the Hype of Industr...

引用

IEEE international conference on Communications (ICC) / Wireless Communications Symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Khan, Maqbool Wu, Xiaotong Xu, Xiaolong Dou, Wanchun Nanjing Univ State Key Labortary Novel Software Technol Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9781467389990

The world of industrial automation technology is at the outset of a new era of innovation with the hype of Industry 4.0. Global modern industrial system converges the power of machines, computing, analytics, connectivity, cyber-physical systems, Internet of things, automation, cloud system and data exchange. Industry 4.0 is a revolution towards the digital world of digital factories and smart products. Big data is an integration of multi-disciplinary technologies and facilitates customer by bringing incredible services to a click. Internet of things connected the world of machines by adding communication capability in every device to connect to other devices or access the Internet. Big data inflict a new horizon of opportunities in these systems. In this paper, challenges and opportunities of industrial big data are revealed in the context of Industry 4.0 with a different perspective. The current study helps the researchers to threshold these modern systems of Industry 4.0 in designing big data algorithms and techniques.

关键词： Big data Industrial Big data Industry 4.0 Automation Cyber-Physical Systems Big data Challenges Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Sag compensation in smart grid with distributed generation

Sag compensation in smart grid with distributed generation

引用

2017 international conference on Energy, Communication, data analytics and Soft computing, ICECDS 2017

作者： Mangate, S.D. Kanase, A.D. Dharme, A.A. Electrical Engineering Department College of Engineering Pune India

ISBN: (纸本)9781538618868

Power quality (PQ) is the most discussed topics in the power industry. It is nothing but the interaction between the electrical power and electrical equipment. If the electrical equipment can operate correctly as well as reliably without damaged or stressed, that means the electrical power is of good quality. There are different types of issues in power quality like Transients, Interruptions, Sag or under-voltage, Swell or Overvoltage, Waveform distortion, Voltage fluctuations, Frequency variations and Harmonics which are more sensitive due to large use of power electronic equipment as well as nonlinear loads. These all issues are almost present in industry, commercial and domestic applications. smart grid has been emerged as promising technology for enabling bi-directional communication between the power company and its users to facilitate intelligent and robust emerging power grid systems [1][2]. One important challenge for smart grid designers is demand side management, which can lead to avoid peak hours as well as to reduce the cost for the consumers and power quality issues. In this paper we will use Fuel cell (FC) as well as wind generator as DG sources. Boost converters are used for boosting the output of the FC and then by using inverter it converts DC to AC. In the wind generation, Doubly Fed Induction Generator (DFIG) is used as generator which gives large power output, mostly it is used for wind generation [2][3]. The scope of this paper covers the issues in Power Quality for Distributed Generation of smart grid with storage devices. MATLAB software is used for simulation. Here power quality issues are discussed and focus on sag, which is become common issue. FC and wind generators are used as Microgrid which of 0.5 MW and 1.5 MW rating respectively. If sag occurs in present system, it will be cover by using injection transformer. To recover sag, battery may be used as an inverter input. Control signal will give to inverter and by using control signal the

关键词： Distributed power generation

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 2017 international conference of Cloud computing Technologies and Applications, CloudTech 2017

Proceedings of 2017 International Conference of Cloud Comput...

引用

3rd international conference of Cloud computing Technologies and Applications, CloudTech 2017

ISBN: (纸本)9781538611159

The proceedings contain 49 papers. The topics discussed include: cloud computing: overview and risk identification based on classification by type;a self-adaptive very fast simulated annealing based on hidden Markov model;performance prediction using support vector machine for the configuration of optimization algorithms;pairing free and implicit certificate based signcryption scheme with proxy re-encryption for secure cloud data storage;protecting medical images in cloud using visual cryptography scheme;a machine learning approach for sentiment analysis in the standard or dialectal Arabic Facebook comments;on automated cloud bursting and hybrid cloud setups using Apache Mesos;an intelligent scheduling algorithm for energy efficiency in cloud environment based on artificial bee colony;survey: risk assessment models for cloud computing: evaluation criteria;load balancing between nodes in a volunteer cloud computing by taking into consideration the number of cloud services replicas;a parallel semantic sentiment analysis;temporary materialized views in cloud data warehouses through a web service;cloud architecture for digital phenotyping and automation;machine learning applications in supply chains an emphasis on neural network applications;energy-efficient on caching in named data networking: a survey;a framework for big data analytics in secure network of video surveillance systems based on images indexation;and smart pattern authentication system for cloud consumers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fog Networking for Machine Health Prognosis: A Deep Learning Perspective 17th

Fog Networking for Machine Health Prognosis: A Deep Learning...

引用

17th international conference on Computational Science and its Applications (ICCSA)

作者： Bin Qaisar, Saad Usman, Muhammad Natl Univ Sci & Technol Islamabad Pakistan

ISBN: (纸本)9783319624044;9783319624037

Ensuring machine health and predicting failures beforehand is of utmost importance. Fog networking is an emerging paradigm of computing. Advances in neural networks research and their benefits in accurate classification make them best candidate for application to prognostics. Ubiquity of smartphones, wearables and sensors is giving rise to tremendous amount of data necessitating intelligent data analytics at the data center. Various researches have focused on compression of large deep models for inferencing on smart devices in order to seek answers to issues like reducing the enormity of computation, decreasing the power and memory requirements on these devices. At this point in time, state of the art in inference such as recurrent neural networks (RNN) seem impossible to be implemented on resource constrained devices. Cloud based inference incurs cost in terms of power as more energy is depleted to access infrastructure via technologies such as 3g/4g networks while also witnessing latency issues due to network congestion. A few real world situations offload inferencing to network edge as it is more beneficial to solve many issues like security, privacy of users, redundancy rather than uploading enormous volume of data on cloud. The paradigm, known as Fog computing, is a hot topic in research facilitating edge analytics by overcoming constraints and shortcoming of cloud enabling quality of service (QoS) required in some real world applications such as Industrial Internet of Things (IoT). Fog acts as a medium between edge device and cloud. In this paper, we propose a hybrid approach of using Fog in conjunction with deep neural nets for inferencing. We propose how neural nets exploited by Fog/Cloudlet can provide computational and storage services to nearby devices and it will also put a barrier by filtering the voluminous data to a reduced form for cloud.

关键词： CNN RNN LSTM Fog computing

来源：评论

学校读者我要写书评

暂无评论

Coordinating Distributed Speaking Objects 37

Coordinating Distributed Speaking Objects

引用

37th IEEE international conference on Distributed computing Systems (ICDCS)

作者： Lippi, Marco Mamei, Marco Mariani, Stefano Zambonelli, Franco Univ Modena & Reggio Emilia Dipartimento Sci & Metodi Ingn Modena Italy

ISBN: (纸本)9781538617915

In this paper we sketch a vision of future environments densely populated by smart sensors and actuators possibly embedded in everyday objects - that, rather than simply producing streams of data, are capable of understanding and reporting, via factual assertions and arguments, about what is happening (for sensors) and about what they can make possibly happen (for actuators). These "speaking objects" form the nodes of a dense distributed computing infrastructure that can be exploited to monitor and control activities in our everyday environment. However, the nature of speaking objects will dramatically change the approaches to implementing and coordinating the activities of distributed processes. In fact, distributed coordination is likely to become associated with the capability of argumenting about situations and about the current "state of the affairs", with the aim of triggering and directing proper distributed "conversations" to collectively reach a future desirable state. Accordingly, we discuss how such a novel vision can build upon some readily available technologies, and the research challenges that it poses. Two case studies are used as exemplary scenarios.

关键词： Actuators intelligent sensors Automobiles Auditory system Distributed computing Monitoring

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324页 << < 306 307 308 309 310 311 312 313 314 315 > >>

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：