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

1,690 篇 会议
470 篇 期刊文献
28 册 图书

馆藏范围

2,188 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,356 篇 工学
- 941 篇 计算机科学与技术...
- 761 篇 软件工程
- 270 篇 信息与通信工程
- 173 篇 控制科学与工程
- 143 篇 生物工程
- 142 篇 电气工程
- 123 篇 电子科学与技术（可...
- 111 篇 机械工程
- 107 篇 仪器科学与技术
- 101 篇 光学工程
- 100 篇 生物医学工程（可授...
- 65 篇 化学工程与技术
- 64 篇 建筑学
- 52 篇 动力工程及工程热...
- 51 篇 土木工程
- 48 篇 材料科学与工程（可...
- 42 篇 航空宇航科学与技...
874 篇 理学
- 492 篇 数学
- 260 篇 物理学
- 165 篇 生物学
- 159 篇 统计学（可授理学、...
- 96 篇 系统科学
- 83 篇 化学
- 74 篇 地球物理学
330 篇 管理学
- 189 篇 管理科学与工程(可...
- 156 篇 图书情报与档案管...
- 114 篇 工商管理
82 篇 医学
- 70 篇 临床医学
- 63 篇 基础医学(可授医学...
54 篇 法学
- 48 篇 社会学
35 篇 农学
34 篇 经济学
34 篇 教育学
9 篇 文学
8 篇 军事学
2 篇 艺术学
1 篇 哲学

主题

41 篇 computer science
35 篇 accuracy
33 篇 computational mo...
30 篇 optimization
28 篇 feature extracti...
25 篇 artificial intel...
25 篇 training
24 篇 support vector m...
24 篇 predictive model...
24 篇 machine learning
22 篇 deep learning
22 篇 software
21 篇 semantics
19 篇 internet of thin...
19 篇 data mining
19 篇 visualization
19 篇 standards
18 篇 computer archite...
18 篇 data models
17 篇 image segmentati...

机构

54 篇 université de st...
49 篇 university moham...
46 篇 north-west unive...
46 篇 ncsr demokritos ...
46 篇 infn sezione di ...
45 篇 infn sezione di ...
45 篇 institut univers...
45 篇 tno technical sc...
45 篇 nikhef national ...
45 篇 infn sezione di ...
44 篇 national centre ...
44 篇 university würzb...
44 篇 university of jo...
44 篇 infn sezione di ...
43 篇 università di sa...
43 篇 università di na...
42 篇 infn sezione di ...
42 篇 comenius univers...
42 篇 lpc caen normand...
41 篇 université de ha...

作者

54 篇 ardid m.
54 篇 kalekin o.
54 篇 díaz a.f.
54 篇 coleiro a.
53 篇 ferrara g.
53 篇 boumaaza j.
52 篇 enzenhöfer a.
52 篇 celli s.
52 篇 dornic d.
52 篇 brunner j.
51 篇 di palma i.
51 篇 coniglione r.
51 篇 eberl t.
48 篇 calvo d.
47 篇 kulikovskiy v.
47 篇 van haren h.
46 篇 carretero v.
46 篇 ardid s.
46 篇 bendahman m.
46 篇 bouta m.

语言

2,080 篇 英文
93 篇 其他
9 篇 中文
3 篇 德文
3 篇 日文
2 篇 法文

检索条件"机构=Dept. of Geoinformatics and Applied Computer Science"

共 2188 条记录，以下是151-160 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：

Authenticated and Secure Automotive Service Discovery with DNSSEC and DANE

Authenticated and Secure Automotive Service Discovery with D...

引用

IEEE Vehicular Networking Conference (VNC)

作者： Mehmet Mueller Timo Häckel Philipp Meyer Franz Korf Thomas C. Schmidt Dept. Computer Science Hamburg University of Applied Sciences Germany

Automotive softwarization is progressing and future cars are expected to operate a Service-Oriented Architecture on multipurpose compute units, which are interconnected via a high-speed Ethernet backbone. The AUTOSAR architecture foresees a universal middleware called SOME/IP that provides the service primitives, interfaces, and application protocols on top of Ethernet and IP. SOME/IP lacks a robust security architecture, even though security is an essential in future Internet-connected vehicles. In this paper, we augment the SOME/IP service discovery with an authentication and certificate management scheme based on DNSSEC and DANE. We argue that the deployment of well-proven, widely tested standard protocols should serve as an appropriate basis for a robust and reliable security infrastructure in cars. Our solution enables on-demand service authentication in offline scenarios, easy online updates, and remains free of attestation collisions. We evaluate our extension of the common vsomeip stack and find performance values that fully comply with car operations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Vehicular Data Retrieval System

Vehicular Data Retrieval System

引用

New Frontiers in Communication, Automation, Management and Security (ICCAMS), International Conference on

作者： Shaeif Thajudheen Shanmugarathinum G Angelin Gladys Jesudoss Dept. of Computer Science Presidency University Bengaluru India Dept. of Computer Science University of Technology and Applied Sciences Ibri Oman

ISBN: (数字)9798350317060

ISBN: (纸本)9798350317077

The Vehicular Data Retrieval System is comprehensive research that focuses on collecting real-time data from vehicles and transmitting it to a remote server for storage and later visualization in a web application. The system incorporates advanced technologies such as GPS (Global Positioning System) for precise location tracking and data capturing. The primary aim of this research is to create an efficient and scalable solution that enables the retrieval of essential vehicular parameters including speed, engine temperature, fuel level, and coordinates. By harnessing this data, it becomes possible to visualize and analyze vehicle performance over time, leading to valuable insights for various applications, such as fleet management, transportation optimization, and environmental monitoring. This paper presents a detailed analysis of the research’s requirements, an extensive literature review, an evaluation of existing systems, and the proposed system design and implementation. Furthermore, the paper discusses testing methodologies, the achieved outcomes, and recommendations for future enhancements to further enrich the vehicular data retrieval and visualization system.

关键词： Temperature sensors Temperature measurement Smart cities Urban planning Data visualization Transportation Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Dynamic Service-Orientation for Software-Defined In-Vehicle Networks

Dynamic Service-Orientation for Software-Defined In-Vehicle ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Timo Häckel Philipp Meyer Mehmet Mueller Jan Schmitt-Solbrig Franz Korf Thomas C. Schmidt Dept. Computer Science Hamburg University of Applied Sciences Germany

Modern In-Vehicle Networks (IVNs) are composed of a large number of devices and services linked via an Ethernet-based time-sensitive network. Communication in future IVNs will become more dynamic as services can be updated, added, or removed during runtime. This requires a flexible and adaptable IVN, for which Software-Defined Networking (SDN) is a promising candidate. In this paper, we show how SDN can be used to support a dynamic, service-oriented network architecture. We demonstrate our concept using the SOME/IP protocol, which is the most widely deployed implementation of automotive service-oriented architectures. In a simulation study, we evaluate the performance of SOME/IP-adaptive SDN control compared to standard Ethernet switching and non-optimized SDN. Our results show an expected overhead introduced by the central SDN controller, which is, however, reduced by up to 50% compared to SOME/IP-unaware SDN. For a large number of services, the setup time is in the order of milliseconds, which matches standard Ethernet switching. A SOME/IP-aware SDN controller can optimize the service discovery to improve adaptability, robustness, security, and Quality-of-Service of the IVN while remaining transparent to existing SOME/IP implementations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Campus Exploration with GikiLenS: A Deep Learning-Powered Object Detection App 18

Revolutionizing Campus Exploration with GikiLenS: A Deep Lea...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Mueed, Iqra Arshad, Usama Ali, Raja Hashim Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany

ISBN: (纸本)9798350328172

For newcomers and tourists, navigating university campuses can be difficult, resulting in aggravation and lost time. We respond by introducing 'GikiLenS', an object identification application driven by deep learning that revolutionizes campus exploration by accurately identifying buildings and landmarks while enhancing user experience. GikiLenS is a comprehensive and user-friendly smartphone application that precisely caters to the demands of newcomers and visitors, unlike previous studies in campus navigation. Our study intends to close this gap and develop a reliable method for identifying campus buildings, optimizing navigation, and enhancing user experience. Through rigorous testing, GikiLenS has proven to have remarkable real-time building detection accuracy, highlighting its potential as an important tool for campus exploration. The app's outcomes and conclusions demonstrate how well it works to give users specific building information, promoting a more knowledgeable and enjoyable campus experience. The importance of our findings lies in the development of a unique, user-centered app that offers a cutting-edge method of campus mobility. Our contribution consists of a game-changing method for building detection that improves campus exploration and user pleasure. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of a scoring system for computer image recognition technology 12

Design and implementation of a scoring system for computer i...

引用

12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Chang, Cheng Fanjiang, Yong-Yi Hung, Chi-Huang Wang, Li-Feng Chang, Ya-Jou Chang, Wen-Hsuan Fu Jen Catholic University Graduate Institute of Applied Science and Engineering New Taipei City Taiwan Fu Jen Catholic University Graduate Institute of Applied Science and Engineering Dept. of Computer Science and Information Engineering New Taipei City Taiwan Fu Jen Catholic University Lee-Ming Institute of Technology Graduate Institute of Applied Science and Engineering Dept. of Information Technology New Taipei City Taiwan Tatung University Lee Ming Institute of Technology Graduate Institute of Design Science New Taipei City Taiwan Lee-Ming Institute of Technology Dept. of Applied Cosmetology New Taipei City Taiwan

ISBN: (纸本)9798350340181

This paper presents a scoring system for evaluating makeup paper pictures using computer vision feature recognition. In traditional makeup scoring systems, the assessment is conducted by human reviewers, leading to potential subjective biases and raising concerns about scoring fairness. To address this issue, the paper proposes a solution that utilizes computer vision feature recognition technology for scoring. By leveraging various computer vision techniques such as structural feature matching and image recognition retrieval, it develops a method for predicting makeup styles and scores based on an image learning model. An experimental platform is designed, utilizing paper drawings created by students and scores provided by multiple evaluators as makeup image data, to automatically generate grading results. This research demonstrates the potential of computer vision feature recognition technology to enhance scoring accuracy and objectivity in the future. © 2023 IEEE.

关键词： Grading

来源：评论

学校读者我要写书评

暂无评论

Diving into Brain Complexity: Exploring Functional and Effective Connectivity Networks 18

Diving into Brain Complexity: Exploring Functional and Effec...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Siddique, Abu Bakar Khalid, Hassan Bin Ali, Raja Hashim University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan

ISBN: (纸本)9798350328172

The human brain's intricate functions are under-pinned by a vast network of synapses that enable chemical impulses between neurons. Neuroscientists employ two key approaches, functional and effective connectivity, to understand the brain's complexity, focusing on its operations, cognition, and behavior. While both methods utilize graph theory for network analysis, functional connectivity, which investigates associated brain activity, has seen more substantial research efforts than effective connectivity, which examines information processing's inter-regional impacts. In this research paper, we aim to present an extensive examination of the emerging discipline that combines graph theory with the analysis of brain characteristics, shedding light on how these characteristics arise from the interactions among different groups of neurons. Our primary focus lies in exploring the diverse cognitive and neurological applications that leverage functional Magnetic Resonance Imaging (fMRI) as a tool. Additionally, we offer a comprehensive overview of the methods employed to construct brain networks based on functional and efficient connections. Throughout the discussion, we emphasize the advantages and limitations associated with these approaches. © 2023 IEEE.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Efficient Models for Detecting Monkeypox using Skin Lesion Images 3

Efficient Models for Detecting Monkeypox using Skin Lesion I...

引用

3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023

作者： Sunda, Neelam Sharma, Divya Battu, Sujith Banoth, Rewanth Nayak Rahul Monika Kanoria PG Mahila Mahavidyalaya Department of Computer Science Jaipur India Kanoria PG Mahila Mahavidhyalaya Department of Computer Science jaipur India Delhi Technological University Dept. of Software Engineering New Delhi India Delhi Technological University Department of Applied Physics New Delhi India University of Delhi Shaheed Rajguru College of Applied Sciences for Women Department of Computer Science India

ISBN: (纸本)9798350343632

Monkeypox is predicted to be the next pandemic and is spreading over African countries like water under a mat. The study basically investigates three deep learning imaging models for the identification of monkeypox from skin lesion photos from the MSID dataset. The motto is to define a computer-based technique to identify monkeypox from just its image, making it cheaper and faster with accurate results. The study achieved the highest accuracy of 99.37% as compared to previous works related to Resnet 50. The limits and complexity of the procedures in real-world situations are also clearly addressed. © 2023 IEEE.

关键词： Convolutional Neural Network Image preprocessing Monkeypox Performance Evaluation Metrics Transfer learning

来源：评论

学校读者我要写书评

暂无评论

An Iterated Local Search Algorithm for Commuting Bus Routing Problem with Latest Arrival Time Constraint

An Iterated Local Search Algorithm for Commuting Bus Routing...

引用

2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022

作者： Hashimoto, H. Hu, Y. Sugiura, T. Takada, Y. Yagiura, M. Tokyo University of Marine Science and Technology Dept. Logistics and Information Engineering Tokyo Japan Tokyo University of Science Dept. Applied Mathematics Tokyo Japan Nagoya University Graduate School of Information Science Dept. Computer Science and Mathematical Informatics Nagoya Japan

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Given a set of bus stops and a set of employees, the commuting bus routing problem with latest arrival time constraint (CBRP-LATC) aims to determine routes of buses to carry every employee from the company to one of the bus stops at which he/she wants to get off. Each employee walks to his/her destination after getting off the bus and has a desired time when he/she wants to arrive there, which is called the latest arrival time. The objective is to find a set of routes with the minimum total traveling cost that covers all employees' destinations under bus capacity and latest arrival time constraints. We propose an iterated local search algorithm in which we use two kinds of neighborhood operations called set-del/1-ins and VRP-OPT∗. The set-del/1ins operation consists of three neighborhood operations, setdel, 1-ins and set-del-ins to remove or assign employees from or to a bus route. The VRP-OPT∗ is a local search algorithm to improve the distances of routes based on four neighborhood operations, 2-opt, 2-opt∗, relocate and cross-exchange. Computational results show the effectiveness of the two neighborhood operations. © 2022 IEEE.

关键词： Personnel

来源：评论

学校读者我要写书评

暂无评论

Enhancing Customer Experience, and Brand Awareness through Familiar Gameplay in Advergames

Enhancing Customer Experience, and Brand Awareness through F...

引用

2022 IEEE Asia-Pacific Conference on computer science and Data Engineering, CSDE 2022

作者： Khezrian, Navid Farzinnejad, Forouzan Baghaei, Nilufar Coburg University of Applied Sciences Dept. Electrical Engineering and Computer Science Coburg Germany University of Queensland Dept. Information Technology and Electrical Engineering Brisbane Australia

ISBN: (纸本)9781665453059

The marketing field has been looking for more creative and effective ways to attract customers. Advergames have recently attracted a lot of attention in increasing brand awareness and attracting wider groups of audiences. Research studies have indicated that customers have a more positive attitude toward a brand and stronger purchase intentions when playing advergames with brand interactivity rather than without brand interactivity. Despite the increased use of advergames as a brand promotion strategy by a range of well-known brands, there is still a limited understanding of several issues related to the effective use of such games. In this paper, we conducted one study (n= 242) held in one exhibition to examine familiar gameplay in advergames and its effectiveness in attracting and engaging more people. Our results showed that the presence of familiar gameplay in advergames is an essential feature in attracting more people, enhancing their user experience, and increasing brand awareness. © 2022 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Ship Data Clustering for Improved Fuel Efficiency Optimization Decision Support Systems

Ship Data Clustering for Improved Fuel Efficiency Optimizati...

引用

OCEANS 2024 - Halifax, OCEANS 2024

作者： Piercey, Caitlin Hamilton, Matthew Veitch, Brian Barnes, Joshua Jiang, Xianta Memorial University of Newfoundland Dept. of Computer Science St. John's Canada Memorial University of Newfoundland Dept. of Engineering and Applied Sciences St. John's Canada Ocean Coastal and River Engineering National Research Council Canada St. John's Canada

ISBN: (纸本)9798331540081

In this paper, we propose a hybrid clustering algorithm based on hierarchical clustering in combination with string clustering, similar to that used in clustering genetic sequences, to extract clusters of operational activities from ship data. After extracting clusters (n=9), the distribution and summary statistics of each cluster are compared to Canadian Coast Guard provided operational definitions to obtain context from the clusters. The clustered data is used as the input to a fuel flow prediction model, which will in turn form the basis of an on-board decision support system for marine vessels with the goal of reducing fuel consumption. Finally, we compare the results of fuel flow predictions with models trained on a) different clusters and b) the full dataset, to determine the usefulness of these clusters in improving the performance of a fuel-optimization decision support system for on-board marine vessel use. © 2024 IEEE.

关键词： Ships

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219页 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：