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

3,176 篇 会议
42 册 图书
25 篇 期刊文献

馆藏范围

3,243 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,217 篇 工学
- 2,037 篇 计算机科学与技术...
- 1,329 篇 软件工程
- 423 篇 信息与通信工程
- 339 篇 电气工程
- 307 篇 控制科学与工程
- 156 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...
677 篇 管理学
- 514 篇 管理科学与工程(可...
- 313 篇 工商管理
- 251 篇 图书情报与档案管...
500 篇 理学
- 246 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
- 141 篇 临床医学
- 131 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
115 篇 经济学
- 114 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...
228 篇 cloud computing
133 篇 machine learning
130 篇 edge computing
123 篇 real-time system...
103 篇 data analytics
99 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
72 篇 predictive analy...
64 篇 deep learning
64 篇 sensors
60 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

3,183 篇 英文
49 篇 其他
21 篇 中文

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

共 3243 条记录，以下是3181-3190 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：

Soft Real Time data Driven IoT for Knee Rehabilitation

Soft Real Time Data Driven IoT for Knee Rehabilitation

引用

IEEE conference on Innovative Technologies in intelligent Systems and Industrial Applications (CITISIA)

作者： S.M.N. Arosha Senanayake Putri Wulandari Mathematical and Computing Sciences Universiti Brunei Darussalam Brunei Darussalam Electrical Engineering Universitas Al Azhar Indonesia Jakarta Indonesia

ISBN: (数字)9781728194370

ISBN: (纸本)9781728194387

This article presents soft real time data driven Internet of Things (IoT) for knee rehabilitation using cyber physical sensory information system interfaced with cloud storage. Custom made wearable wireless motion capture suit interfaced to smart watch as the IoT are built for biofeedback visualization. Mullti-sensor integration and data fusion mechanisms are employed to obtain input vectors of knowledge base and the output vector is based on patient classification defined using multivariate statistics by the healthcare professionals. Case based reasoning is applied for the established reference standard in order to produce patient centric actual knee rehabilitation status and classification using semi supervised deep learning method. Wearable IoT is automatically updated the actual knee rehabilitation status and classification of a patient using relevant cyber physical sensory information retrieved from the cloud storage connected vis AWS cloud. Hence, a soft real time data drive IoT for knee rehabilitation system is successfully tested and validated using semi supervised deep learning cyber physical sensory information database subject to statistically quantified parameters by health professionals based on principle component analysis and patient centric parameters based on independent component analysis. The data driven IoT built has been validated in rehabilitation clinics by relevant physiotherapists and patients with the average age of ±36.8.

关键词： Deep learning Cloud computing Medical services Real-time systems Internet of Things Biomedical monitoring Information systems

来源：评论

学校读者我要写书评

暂无评论

Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices

Recurrent Neural Networks for Colluded Applications Attack D...

引用

international Joint conference on Neural Networks (IJCNN)

作者： Igor Khokhlov Ninad Ligade Leon Reznik Golisano College of Computing and Information Sciences Rochester Institute of Technology Rochester NY USA

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

The paper presents a design and an implementation of an intelligent detector of a novel "colluded applications" attack on user's privacy in Android OS devices, which employs recurrent neural network (RNN) models. The paper reports the results of an empirical study that involved the attack research, data collection and pre-processing, the choice of the RNN model for a detector design, multiple detector implementations, their performance evaluation and analysis, and finally, an Android app realization and execution on a real device. We investigate and analyze multiple attack scenarios and the attack influence on such technological signals as memory consumption and a CPU's cores clock speed. For the attack detection, a few detectors exploring multiple RNN models are designed, implemented, and examined. The detectors employ various RNN models, such as a simple recurrent neural network, a long short-term memory, and a gated recurrent unit. Each model's performance in detecting multiple attack scenarios is evaluated and analyzed in order to compare classification models against various criteria.

关键词： smart phones Detectors Recurrent neural networks data models Performance evaluation Handheld computers data collection

来源：评论

学校读者我要写书评

暂无评论

Implementing a Machine Learning Approach to Predicting Students’ Academic Outcomes 20

Implementing a Machine Learning Approach to Predicting Stude...

引用

Proceedings of the 2020 1st international conference on Control, Robotics and intelligent System

作者： Svyatoslav Oreshin Andrey Filchenkov Polina Petrusha Egor Krasheninnikov Alexander Panfilov Igor Glukhov Yulia Kaliberda Daniil Masalskiy Alexey Serdyukov Vladimir Kazakovtsev Maksim Khlopotov Timofey Podolenchuk Ivan Smetannikov Daria Kozlova ITMO University Russian Federation

ISBN: (纸本)9781450388054

This research is dedicated to the problem of transforming ”linear” educational systems of higher education institutions into a new paradigm of person-centered, blended and individual education. This paper investigates role, application, and challenges of applying AI to predict the academic performance traditional of students: dropouts, GPA, publication activity and other indicators to decrease dropouts and make the learning process more personalized and adaptive. In the first part, we overview the process of data mining using internal university’s resources (LMS and other systems) and open source data from students’ social networks. Such an aggregation allows describing each student by socio-demographic and psychometric features. Further, we demonstrate how we can dynamically monitor students’ activities during the learning process to supplement the resulting features. In the second part of our research, we propose various static and dynamic targets for predictive models and demonstrate the results of predictions and comparisons of several predictive models. The research is based on the information on data processing of more than 20000 students in 2013-2019.

关键词： Artificial Intelligence Educational analytics smart University Learning analytics

来源：评论

学校读者我要写书评

暂无评论

Access Control Mechanism in Internet of Things using Blockchain Technology: A Review

Access Control Mechanism in Internet of Things using Blockch...

引用

international conference on intelligent Sustainable Systems (ICISS)

作者： Avani J. Dadhania Hiren B. Patel LDRP Institute of Technology and Research Gandhinagar India Vidush Somani Institute of Technology and Research Kadi India

ISBN: (数字)9781728170893

ISBN: (纸本)9781728170909

As the number and variety of connected objects continue to grow and the devices themselves become smarter, IoT has demonstrated to be the foremost rising innovation where millions of gadgets can interface to the web which makes the life attainable with no human intercession. However, the security and privacy of this IoT environment face some issues that must be overcome to meet the novel solution for IoT applications with no margin for error. Hence, secure architecture for centralized servers is necessitating maintaining the authenticity and protection of information. However, centralized architecture suffers from some challenges viz. reduction in performance, single point of failure and prone to attacks which could be addressed through decentralized or distributed architecture. Blockchain, being decentralized in nature, immutable in function, transparent in-process and reliable without a trusted third party, could be efficient attention for addressing IoT security challenges. In this research work the security concerns like access control mechanisms for IoT applications like smart city, smart healthcare system through Blockchain innovation is addressed. Blockchain being a distributed ledger provides an approach to securely store the data cryptographically. Specifically, proposed work intend to cover different access control methods for the protection of information and IoT security. This paper makes an exhaustive review of how decentralized architecture using Blockchain might potentially improve IoT access control.

关键词： Access control Blockchain Internet of Things Security Computer architecture Authorization Peer-to-peer computing

来源：评论

学校读者我要写书评

暂无评论

smart intelligent Troubleshooter to Solve Windows Operating System Specific Issues

Smart Intelligent Troubleshooter to Solve Windows Operating ...

引用

Advancements in computing (ICAC), 2019 international conference on

作者： D.I.K. Rajapakshe M.P.P. Shamil P.M.C.P. Paththinisekara S.K. Liyanage Udara Srimath S. Samaratunge Arachchillage Anuththara Kuruppu Faculty of Computing Sri Lanka Institute of Information Technology (SLIIT) Malabe Sri Lanka

ISBN: (数字)9781728184128

ISBN: (纸本)9781728184135

While working on computers, people frequently confront with various kinds of problems, those beyond their extensive expertise. Microsoft Windows is the widely used Operating System running on numerous personal computers and the reason which gives more irritating problems that require to be addressed. Currently, troubleshooting is considered as a costly and time-consuming approach. The SAITA is an Artificial intelligent Troubleshooting Agent that utilizes natural language generation, machine learning, and dependency resolving and ontology-based methodologies for solving most common Windows-specific issues within a short period of time than the traditional approach. The assistant learns from the accessible data and accomplishes the task for users as performed by human experts. The main objective of this exploration venture is to distinguish the constraints of existing troubleshooting software and create an AI troubleshooting assistant to provide solutions to fix the identified user issues. The use of this assistant would be economical as an IT help desk alternative in the industry. SAITA is developed to serve as a representative troubleshooter for fundamental user issues, service issues, application issues, and perform environment setup by analyzing software. This system will be able to solve the common Windows user's issues as same as a human with less time.

关键词： Operating systems Natural languages Microcomputers Software Software reliability Object recognition Task analysis

来源：评论

学校读者我要写书评

暂无评论

Towards Context-Aware Social Behavioral analytics 2019

Towards Context-Aware Social Behavioral Analytics

引用

Proceedings of the 17th international conference on Advances in Mobile computing & Multimedia

作者： Amin Beheshti Vahid Moraveji Hashemi Shahpar Yakhchi Macquarie University Sydney Australia

ISBN: (纸本)9781450371780

The confluence of technological and societal advances, and more specifically, engagement with Web, social media, and smart devices has the potential to affect the mental behavior of the individuals. Examples include extremist and criminal behaviors such as radicalization and cyber-bullying, which are causing serious issues for humanity. Major barriers to the effective understanding of behavioral disorders on social networks includes the ability to understand the content and context of social documents, as well as the activity of social users. Understanding the patterns of behavioral disorders (e.g., criminal and extremist activities) on social networks, is challenging and requires techniques to contextualize the content of social documents based on the time-aware analysis of personality, behaviour and past activities of social users. In this context, semantic information extraction and enrichment from social documents has the potential to become a vital asset to explore the sign of behavioral disorders and prevent serious issues such as cyber-bullying, suicidal related behavior and radicalization. To address this challenge, in this paper, we present a novel social document analysis pipeline to enable analysts engage with social documents (e.g., a Tweet in Twitter or a post on Facebook) to explore cognitive aspects of behavioral disorders. We implement the pipeline as an extensible and scalable architecture and present the evaluation results.

关键词： Behavioral analytics data Curation Context-aware Applications

来源：评论

学校读者我要写书评

暂无评论

Research on Gale Forecast Method of Yangpu Port Based on Random Forest Model

Research on Gale Forecast Method of Yangpu Port Based on Ran...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Wanting Wang Liang Chen Yucong Duan Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province Hainan Province Meteorological Service Centre Haikou China Hainan University Haikou China

According to the quantitative analysis of the prediction effects of grid forecast gusty wind speed on intelligent grid from March 2018 to June 2020, it is found that the prediction precision rates of wind force at all grades are not high, and they are inappropriate to serve as meteorological service products directly. Therefore, it is necessary to find a suitable method to correct them. In this paper, the random forest regression algorithm is used to establish the optimal gusty wind correction regression model by selecting the important characteristic variables and the optimal parameters. And then, the correction effects of the model are evaluated and the business trial operation is carried out. Through analysis, the trail operation results show that the correction effects of the random forest regression model are relatively effective, but only for the large sample data of wind-force 0–5. Consequently, the model prediction data can be considered to be used in the prescribed limit of gale forecast, and the grid forecast data of wind-force 6 and above have better precision rates, which can be used in the superior limit of gale forecast.

关键词： Statistical analysis smart cities Wind speed Force Forestry Predictive models Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Recommender system for an academic supervisor with a matrix normalization approach 20

Recommender system for an academic supervisor with a matrix ...

引用

Proceedings of the 2020 1st international conference on Control, Robotics and intelligent System

作者： Vladimir Kazakovtsev Svyatoslav Oreshin Alexey Serdyukov Egor Krasheninnikov Sergey Muravyov Albert Bezvinnyi Alexander Panfilov Igor Glukhov Yulia Kaliberda Daniil Masalskiy Timofey Podolenchuk Maksim Khlopotov ITMO University Russian Federation

ISBN: (纸本)9781450388054

This article proposes a recommendation system for choosing an academic supervisor, based on an assessment of the similarity of student interests and the scientific achievements of the possible mentor from the university faculty. We used a new approach to calculate similarity with no creating co-authorship networks but using Scopus quality metrics. Each scientist is presented as a combination of his achievements in each field of science. As a normalization method, we used the cumulative distribution function of the logarithm of the weighted impacts of professors in the field. We compared different similarity measures and performed clustering to assess their adequacy and thus assess the quality of the system due to the impossibility of comparing the received recommendations with the data of the past years.

关键词： Similarity measures smart University Recommender System Educational analytics

来源：评论

学校读者我要写书评

暂无评论

Metadata-Driven Industrial-Grade ETL System

Metadata-Driven Industrial-Grade ETL System

引用

IEEE international conference on Big data

作者： Alexander Suleykin Peter Panfilov Korus Consulting & Russian Academy of Sciences’ V. A. Trapeznikov Institute of Control Sciences Moscow Russia Graduate School of Business HSE University Moscow Russia

ISBN: (数字)9781728162515

ISBN: (纸本)9781728162522

Digital transformation of a railway system based on big data technologies relies on integrating large volumes of streaming data into digitally enabled enterprise systems to form a comprehensive and efficient intelligent transportation system. data requirements of the smart railway transportation involve a large number of unstructured data and semi-structured data including railway KPI data. Traditional ETL technology cannot cope with fast growing demands of processing large volumes of real-time data collected from heterogeneous sources both inside the system and in the environment. According to the characteristics of the railway KPI data, this paper proposes the designs of an automated ETL system with higher versatility and efficiency of data processing. To reach the goals, we optimize the workflow of the ETL using a proprietary designed metadata management framework. Making ETL suitable for big data-driven railway transportation environment, requires redesigning the ETL processing rules by using metadata model and then optimizing the extracting, transforming and loading processes of the ETL system. Our experimental results with actual railway KPI data show that the proposed metadata supported automated ETL system can effectively serve the railway KPI data processing using open source distributed big data technologies. The proposed metadata framework proved to be efficient in processing complex data structures and large data capacity of big data.

关键词： Distributed databases Transportation Cluster computing Metadata Big data data processing Rail transportation

来源：评论

学校读者我要写书评

暂无评论

ICTA: intelligent computing Task Allocation for Efficient Deep Learning in Distributed Edge computing System of IoT 20

ICTA: Intelligent Computing Task Allocation for Efficient De...

引用

Proceedings of the 2020 2nd international conference on Big-data Service and intelligent Computation

作者： Wei Qu Xiaolu Ding Kai Yang Yuanyuan Bao Wai Chen China Mobile Research Institute China

ISBN: (纸本)9781450388399

As a critical part of distributed cross-device edge computing systems, computing task allocation is responsible to reasonably map the computation of DL tasks onto the set of available Internet-of-Things (IoT) devices, with the aim to achieve efficient execution of deep learning (DL) model inference/training. The complexity and uncertainty of task scheduling on diverse IoT edge devices, as well as the dynamic and resource-constrained edge computing environment, make it hard to obtain the best task allocation strategy in terms of the optimal matching between DL workloads and available resources. In order to maximize resource utilization and optimize task allocation, in this paper, we propose intelligent computing Task Allocation (ICTA), which is an automatic end-to-end optimizing model to allocate proper resources for each operator node in a computation graph by learning the long-term optimal resource management and task scheduling strategies. ICTA is capable of extracting features from resource graph and computation graph, respectively, by using graph convolutional network (GCN), and subsequently predicting the system performance of a given task allocation strategy through deep neural network (DNN) based on the extracted features. Finally, ICTA decides which device in the resource graph to place the operator node in the computation graph, based on the task allocation strategy corresponding to the best system performance. Moreover, being trained periodically in an end-to-end manner according to a continuous learning mechanism, GCN-based ICTA will become smarter while being used. Therefore ICTA facilitates the realization of intelligent distributed edge computing system and further contributes to smart edge applications and services.

关键词： Edge computing Internet-of-Things (IoT) Task allocation optimization Graph convolutional network (GCN) Deep neural network (DNN) High-performance distributed computing (HPDC)

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325页 << < 315 316 317 318 319 320 321 322 323 324 > >>

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：