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3121-3130 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：

AgroConsultant: intelligent Crop Recommendation System Using Machine Learning Algorithms

AgroConsultant: Intelligent Crop Recommendation System Using...

引用

international conference on computing Communication Control and Automation

作者： Zeel Doshi Rashi Agrawal Subhash Nadkarni Neepa Shah Department of Information Technology Dwarkadas J. Sanghvi College of Engineering Mumbai India Head of Information Technology Department Dwarkadas J. Sanghvi College of Engineering Mumbai India

ISBN: (纸本)9781538652589;9781538652572

Agriculture is a major contributor to the Indian economy. The mainstream Indian population depends either explicitly or implicitly on agriculture for their livelihood. It is, thus, irrefutable that agriculture plays a vital role in the country. A vast majority of the Indian farmers believe in depending on their intuition to decide which crop to sow in a particular season. They find comfort in simply following the ancestral farming patterns and norms without realizing the fact that crop output is circumstantial, depending heavily on the present-day weather and soil conditions. However, a single farmer cannot be expected to take into account all the innumerable factors that contribute to crop growth before reaching a consensus about which one to grow. A single misguided or imprudent decision by the farmer can have undesirable ramifications on both himself as well as the agricultural economy of the region. A combination of Big data analytics and Machine Learning can effectively help alleviate this issue. In this paper, we present an intelligent system, called AgroConsultant, which intends to assist the Indian farmers in making an informed decision about which crop to grow depending on the sowing season, his farm's geographical location, soil characteristics as well as environmental factors such as temperature and rainfall.

关键词： Crop prediction Machine learning Crop recommendation system smart farming Multi-label classification

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

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

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

ISBN: (纸本)9781538618882

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： Power quality smart grids Transient analysis Doubly fed induction generators Distributed power generation Harmonic analysis

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

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

作者： M. L. Ravi Chandra B. Varun Kumar B. Suresh Babu Dept. of ECE Srinivasa Ramanujan Institute of Technology Ananthapuramu A.P-India Dept. of ECE SRIT Ananthapuramu A.P-India Dept. of ECE SRIT Anantapuramu A.P-India

ISBN: (纸本)9781538618882

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.

关键词： smart security sensors Raspberry Pi3 Microcontroller IoT SMTP

来源：评论

学校读者我要写书评

暂无评论

Delay prediction system for large-scale railway networks based on big data analytics 2nd

Delay prediction system for large-scale railway networks bas...

引用

2nd international Neural Network Society conference on Big data, INNS 2016

作者： Oneto, Luca Fumeo, Emanuele Clerico, Giorgio Canepa, Renzo Papa, Federico Dambra, Carlo Mazzino, Nadia Anguita, Davide DIBRIS University of Genoa Via Opera Pia 11A Genova16145 Italy Rete Ferroviaria Italiana S.p.A. Via Don Vincenzo Minetti 6/5 Genoa16126 Italy Ansaldo STS S.p.A. Via Paolo Mantovani 3-5 Genoa16151 Italy

ISBN: (纸本)9783319478975

State-of-the-art train delay prediction systems do not exploit historical train movements data collected by the railway information systems, but they rely on static rules built by expert of the railway infrastructure based on classical univariate statistic. The purpose of this paper is to build a data-driven train delay prediction system for largescale railway networks which exploits the most recent Big data technologies and learning algorithms. In particular, we propose a fast learning algorithm for predicting train delays based on the Extreme Learning Machine that fully exploits the recent in-memory large-scale data processing technologies. Our system is able to rapidly extract nontrivial information from the large amount of data available in order to make accurate predictions about different future states of the railway network. Results on real world data coming from the Italian railway network show that our proposal is able to improve the current state-of-the-art train delay prediction systems. © Springer international Publishing AG 2017.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Towards Energy Efficiency smart Buildings Models based on intelligent data analytics 7

Towards Energy Efficiency Smart Buildings Models based on In...

引用

7th international conference on Ambient Systems, Networks and Technologies (ANT) / 6th international conference on Sustainable Energy Information Technology (SEIT)

作者： Gonzalez-Vidal, Aurora Moreno-Cano, Victoria Terroso-Saenz, Fernando Skarmeta, Antonio F. Univ Murcia Fac Comp Sci E-30001 Murcia Spain

This work presents how to proceed during the processing of all available data coming from smart buildings to generate models that predict their energy consumption. For this, we propose a methodology that includes the application of different intelligent data analysis techniques and algorithms that have already been applied successfully in related scenarios, and the selection of the best one depending on the value of the selected metric used for the evaluation. This result depends on the specific characteristics of the target building and the available data. Among the techniques applied to a reference building, Bayesian Regularized Neural Networks and Random Forest are selected because they provide the most accurate predictive results. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： pervasive computing smart buildings energy efficiency intelligence data analysis techniques

来源：评论

学校读者我要写书评

暂无评论

Evaluation of MAC protocols using local bridge in high frequency bands based on discrete event simulator tool using analytical approach

Evaluation of MAC protocols using local bridge in high frequ...

引用

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

作者： Purohit, Manish Vyas, Piyush Bora, Avnish India

ISBN: (纸本)9781538618868

The concept of Controller Area Network (CAN) has been largely used in real-time automatically control applications such as the systems used in industries, automobiles, aircraft, and automated factories. If installing CAN network is in dispersed authentic time applications mortally requires increasing the scope of spread the area, and communicate freely with other Local Area Networks and self-governing novel CAN segments or remote CAN 2.0 nodes. This has efficient highly secured distributed real time control serial communication protocol. Its application areas are from high speed networks to low cost multiplex wiring. In automotive electronics, engine control units, sensors, control unit systems, etc. are connected using CAN with bitrates up to 1 Mbps. At the same time it is cost effective to build into vehicle body electronics, e.g. lamp clusters, electric windows etc. to replace the wiring harness otherwise required. A purpose to implement an interworking device called Wireless Interworking Unit (WIU) which is enabling local/remote CAN2.0A nodes to commune over IEEE 802.11b WLAN (MAC) using packet encapsulation method. By using this method a smart network can be implemented for intelligent, self governed, automated, energy hoarder work in vehicles, machines, robots, space aircrafts etc. Computer simulation modeling of such idea is very beneficial for any small industries, organization. This paper presents simulation modeling results for WIU using NS-2 TOOL. © 2017 IEEE.

关键词： Real time control

来源：评论

学校读者我要写书评

暂无评论

A Novel Secure Big data Cyber Incident analytics Framework for Cloud-Based Cybersecurity Insurance 2

A Novel Secure Big Data Cyber Incident Analytics Framework f...

引用

2nd IEEE international conference on Big data Security on Cloud (BigdataSecurity)

作者： Gai, Keke Qiu, Meikang Elnagdy, Sam Adam Pace Univ Dept Comp Sci New York NY USA

ISBN: (纸本)9781509024032

The remarkable increasing demands of mitigating losses from cyber incidents for financial firms has been driving the rapid development of the Cybersecurity Insurance (CI). The implementations of CI have covered a variety of aspects in cyber incidents, from hacking to frauds. However, CI is still at its exploring stage so that there are a number of dimensions that are uncovered by the current applications. The cyber attack on critical infrastructure is one of the serious issues that prevents the expansions of CI. This paper addresses CI implementations focusing on cloud-based service offerings and proposes a secure cyber incident analytics framework using big data. Our approach is designed for matching different cyber risk scenarios, which uses repository data. Our simulation has provided the theoretical proof of the adoptability and feasibility.

关键词： Cybersecurity insurance incident analytics framework cloud computing big data

来源：评论

学校读者我要写书评

暂无评论

Care-Chair: Sedentary Activities and Behavior Assessment with smart Sensing on Chair Backrest 2

Care-Chair: Sedentary Activities and Behavior Assessment wit...

引用

2nd IEEE international conference on smart computing (smartCOMP)

作者： Kumar, Rakesh Bayliff, Alec De, Debraj Evans, Adam Das, Sajal K. Makos, Mignon Missouri Univ Sci & Technol Rolla MO 65409 USA Phelps Cty Reg Med Ctr Rolla MO USA

ISBN: (纸本)9781509008988

A large majority of population spend substantial amount of time each day in sedentary positions, which make the chairs potentially rich source of information and insight about people daily activities and behavior patterns. These information, which often gets under-utilized, can reveal valuable knowledge about the users's wellness level and quality of life. Considering this we have designed Care-Chair, a simple and cost effective smart sensing system with just four pressure sensors on the backrest of a chair, equipped with intelligent data analytics. Our proposed Care-Chair system has been able to classify among large number of 19 fine-grained and complex user sedentary activities. To best of our knowledge this is the first work to detect user functional activities and user emotion based activities (in addition to static and movement based sedentary activities and postures) with just 4 pressure sensors on chair and sensor data analytics. The performance is validated with 5 users combined dataset (thus considering user specific variations) with 86% overall accuracy. Our system is also validated to achieve precise measurement in user breathing rate during relatively static sedentary postures.

关键词： Pressure sensors

来源：评论

学校读者我要写书评

暂无评论

intelligent data Mining for Translator Correctness Prediction 2

Intelligent Data Mining for Translator Correctness Predictio...

引用

IEEE international conference on intelligent data and Security (IEEE IDS)

作者： Rossikova, Yulia Li, J. Jenny Morreale, Patricia Kean Univ Comp Sci 1000 Morris Ave Union NJ 08340 USA

ISBN: (纸本)9781509024032

This paper presents a new approach to predictive data analytics, called Radius of Neighbors (RN), and its mobile application, a multilingual RN-Chatter, devoted to improve communication among people, speaking different languages. RN is a modeless method of unsupervised machine learning, what makes it a fairly simple but effective way of analyzing big amounts of data while keeping acceptable speed of execution and taking up little run-time space. In the first preparatory stage of our research, we discovered that RN gives better results than well-known K-Nearest Neighbors (KNN) in some cases. We then extended our research to simulating the adjustments of floating radiuses, various volumes of the training data sets and ups and downs of the dimensions to tune RN for its optimum accuracy. We took experimental approach of not only extending the number of dimensions, but, instead, shrinking and modifying them in order to keep the predicted value' neighbors close by.

关键词： Machine Learning Predictive analytics Translation Accuracy Yandex Google Live Translation Multilingual Chatter

来源：评论

学校读者我要写书评

暂无评论

AI²: Training a big data machine to defend 2

AI<SUP>2</SUP>: Training a big data machine to defend

引用

2nd IEEE international conference on Big data Security on Cloud (BigdataSecurity)

作者： Veeramachaneni, Kalyan Arnaldo, Ignacio Korrapati, Varnsi Bassias, Constantinos Li, Ke MIT CSAIL 77 Massachusetts Ave Cambridge MA 02139 USA PatternEx San Jose CA USA

ISBN: (纸本)9781509024032

We present AI(2), an analyst-in-the-loop security system where Analyst Intuition (AI) is put together with state-of-the-art machine learning to build a complete end-to-end Artificially intelligent solution (AI). The system presents four key features: a big data behavioral analytics platform, an outlier detection system, a mechanism to obtain feedback from security analysts, and a supervised learning module. We validate our system with a real-world data set consisting of 3.6 billion log lines. The results show that the system is capable of learning to defend against unseen attacks. With respect to unsupervised outlier analysis, our system improves the detection rate in 2.92x and reduces false positives by more than 5x.

关键词： active learning anomaly detection behavioral analytics big data human-in-the-loop InfoSec machine learning security

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 << < 309 310 311 312 313 314 315 316 317 318 > >>

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：