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

88,692 篇 会议
234 篇 期刊文献
118 册 图书

馆藏范围

89,044 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

51,555 篇 工学
- 38,420 篇 计算机科学与技术...
- 31,320 篇 软件工程
- 13,050 篇 信息与通信工程
- 10,746 篇 控制科学与工程
- 8,463 篇 电气工程
- 5,600 篇 电子科学与技术（可...
- 5,037 篇 生物工程
- 4,273 篇 机械工程
- 4,063 篇 生物医学工程（可授...
- 3,094 篇 动力工程及工程热...
- 3,059 篇 仪器科学与技术
- 2,784 篇 光学工程
- 2,665 篇 安全科学与工程
- 2,480 篇 交通运输工程
- 1,679 篇 化学工程与技术
- 1,628 篇 网络空间安全
21,721 篇 理学
- 11,656 篇 数学
- 5,335 篇 生物学
- 5,010 篇 物理学
- 3,655 篇 统计学（可授理学、...
- 3,646 篇 系统科学
- 1,882 篇 化学
13,909 篇 管理学
- 9,385 篇 管理科学与工程(可...
- 5,791 篇 图书情报与档案管...
- 4,610 篇 工商管理
3,450 篇 医学
- 2,782 篇 临床医学
- 2,655 篇 基础医学(可授医学...
- 1,566 篇 药学(可授医学、理...
2,119 篇 法学
- 1,686 篇 社会学
1,692 篇 经济学
- 1,684 篇 应用经济学
1,088 篇 农学
1,069 篇 教育学
338 篇 文学
207 篇 军事学
132 篇 艺术学
1 篇 哲学

主题

3,165 篇 computer archite...
2,773 篇 computer science
2,492 篇 computational mo...
2,298 篇 feature extracti...
2,252 篇 control systems
1,968 篇 real-time system...
1,663 篇 training
1,618 篇 application soft...
1,603 篇 accuracy
1,537 篇 conferences
1,491 篇 hardware
1,250 篇 neural networks
1,227 篇 data mining
1,186 篇 costs
1,158 篇 robot sensing sy...
1,132 篇 monitoring
1,129 篇 testing
1,101 篇 protocols
1,099 篇 computer vision
1,099 篇 robustness

机构

148 篇 school of comput...
140 篇 school of comput...
120 篇 department of el...
118 篇 school of comput...
82 篇 school of comput...
67 篇 institute of inf...
64 篇 college of compu...
61 篇 school of automa...
60 篇 chitkara univers...
55 篇 department of sy...
54 篇 department of co...
52 篇 department of el...
52 篇 school of electr...
49 篇 ieee
48 篇 department of el...
46 篇 college of compu...
46 篇 department of el...
46 篇 department of el...
45 篇 department of el...
44 篇 school of comput...

作者

35 篇 lei wang
34 篇 zhang tao
34 篇 wang jing
33 篇 zhang lei
31 篇 li yang
28 篇 jun wang
26 篇 wang lei
25 篇 yu wang
24 篇 li xin
24 篇 ning xi
23 篇 rui wang
22 篇 sudeep tanwar
21 篇 weiming shen
21 篇 li peng
20 篇 dhabaleswar k. p...
20 篇 chengkuo lee
19 篇 hisao ishibuchi
19 篇 xiao liu
19 篇 hui wang
19 篇 yang bo

语言

86,495 篇 英文
2,111 篇 其他
461 篇 中文
14 篇 土耳其文
6 篇 西班牙文
5 篇 俄文
2 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=IEEE International Conference and Workshops on Engineering of Computer Based Systems"

共 89044 条记录，以下是201-210 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：

Deploying and Managing Web Application using Kubernetes 3

Deploying and Managing Web Application using Kubernetes

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Dhanwai, Aditya Bhagwat, Shivam Supekar, Kunal Deshmukh, Saurabh More, Amar School of Computer Engineering MIT Academy of Engineering Alandi Pune India

ISBN: (纸本)9798331527549

This project examines the deployment and management of web applications using Kubernetes, an open-source container orchestration platform. It provides an analysis of the core features of Kubernetes, including pods, services, and deployments, to simplify and optimize the deployment process of web-based systems. The study investigates various deployment strategies, such as rolling updates, to showcase Kubernetes’ adaptability and efficiency in maintaining continuous service availability during updates. By providing practical insights and guidelines, this project offers a comprehensive understanding of Kubernetes and its transformative potential in web application management. The findings are particularly valuable for developers, IT professionals, and anyone involved in the complex process of web application deployment. © 2025 ieee.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Flexible Event-Driven Biological Imaging via Bayesian Inference

Flexible Event-Driven Biological Imaging via Bayesian Infere...

引用

2025 ieee international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Tan, Yayin Zhao, Tianle Chu, Zhiqin Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9798350368741

Event-driven imaging is gaining more and more attention in the field of biological imaging, where conventional frame-based imaging techniques confront with the bottleneck of capturing weak and fast-changing biological signals. However, existing methods for processing event camera signals, such as detection, de-noising, etc, are mainly designed for computer vision problems like tracking and surveillance and do not well adapts to biological applications. Particularly, a typical biological imaging system focuses on static scenes with fast-changing and weak illumination. There lacks effective detection algorithms under this extreme lighting condition. To this end, we proposed a novel framework for recovering the weak biological signals from the noisy event camera measurements. based on Bayesian inference, the proposed approach offers a flexible solution for diverse imaging modalities. We validated our method on real-world biological imaging experiments, demonstrating its robustness and effectiveness of detecting weak and fast varying targets. This unlocks new possibilities for weak biological signal detection under extreme lighting conditions in a variety of imaging applications. © 2025 ieee.

关键词： Asynchronous sampling Bayesian inference biomedical Imaging event-driven camera non-linear reconstruction optical systems wide-field detection

来源：评论

学校读者我要写书评

暂无评论

Integrated Road Safety System for Real-Time Waterlogging Detection and Traffic Management Using Google Maps API

Integrated Road Safety System for Real-Time Waterlogging Det...

引用

2025 international conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Vignesh, R. Pabitha, C. Shamritha, V. Prathija, A. Srm Valliammai Engineering College Department Of Computer Science and Engineering Chennai India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509828

Potholes, waterlogging, and possible electrical hazards have a significant impact on urban traffic safety, especially during the monsoon season. Road damage, traffic jams, car accidents, and even potentially fatal electrical leaks from damaged power lines in flooded areas are all consequences of these situations. A thorough machine learning-based method for detecting potholes in real time, determining the extent of waterlogging, and identifying electrical leaks in water is presented in this study. The device measures the risk of water accumulation, estimates pothole depth, and records road conditions using computer vision algorithms. It also finds electrical leaks in water and sends out timely alerts to reduce the risk of electrocution. Using the Google Maps API, the system automatically reroutes traffic to safer routes, reducing the amount of time that cars and pedestrians are exposed to dangerous situations. Our system provides a strong, scalable foundation for enhancing road safety and urban mobility during inclement weather by combining pothole recognition, waterlogging severity assessment, and electrical danger detection. © 2025 ieee.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

A Multi-Modal Smart Switching based Image Transmission Using Semantic Communication 17

A Multi-Modal Smart Switching Based Image Transmission Using...

引用

17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Tiwari, Sanjana Tripathi, Sharda Joshi, Sandeep Bhatt, Priyanshu Natarajan, Balasubramaniam Birla Institute of Technology & Science Pilani Department of Electrical & Electronics Engineering 333031 India Kansas State University Department of Electrical & Computer Engineering 66506 United States

ISBN: (纸本)9798331531195

The conventional paradigm of communication primarily concentrates on the transmission of raw data, often disregarding its contextual meaning. However, to tackle the exponential growth in data demands along with the limited availability of transmission bandwidth, there is an increasing need to transition from Shannon's classical information-theoretic communication to a more advanced framework centered on semantics. This work presents a multi-modal semantic-based communication method for the transmission of high-definition images aimed at optimizing the transmitted data volume while maintaining a high throughput and mean intersection over union score. To this end, two architectural models are explored: a denser ResNet-based and a lightweight U-Net-based. Depending on the required QoS and resource availability, the raw image is either semantically segmented to obtain a fine-grained, pixel-level classification of the image or represented as label semantics, which provides only a higher-level, object-based, or region-based classification prior to its transmission. The experimental results show that such an adaptive semantic image processing approach leads to around 63% reduction in the transmitted data volume without compromising on the quality of image reconstruction. © 2025 ieee.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

IoT based Line of Control Monitoring System 2

IoT based Line of Control Monitoring System

引用

2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Petkar, Taniya Faculty of Engineering and Technology Department of Computer Science And Medical Engineering Maharashtra Wardha442001 India

ISBN: (纸本)9798331505745

This paper presents a novel line-of-control (LoC) monitoring system that leverages the Internet of Things (IoT) to improve border security. The system creates a strong infrastructure for real-time monitoring throughout critical border regions, especially the Line of Control, by utilizing IoT devices, sensors, and communication technologies. The coverage, timeliness, and data quality of conventional border surveillance systems are frequently compromised. As opposed to this, the suggested system makes use of a wirelessly networked network of intelligent sensors, such as infrared, acoustic, and video cameras. By utilizing sophisticated image processing algorithms and machine learning to analyze the gathered data, the system is able to differentiate between regular activities and any security risks. To help security staff make decisions quickly, real-time updates are transmitted to a centralized control center. Integration with cloud computing also makes data analysis, retrieval, and storage simpler and guarantees data accessibility for forensic investigations and trend research. © 2025 ieee.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

A Novel Channel Selection Method for Near-Infrared Spectroscopy-based Brain-computer Interfaces 13

A Novel Channel Selection Method for Near-Infrared Spectrosc...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Lee, Hyung-Tak Hwang, Han-Jeong Dept. Electronics and Information Engineering Korea University Sejong Korea Republic of

ISBN: (纸本)9798331521929

Brain-computer interface (BCI) studies have focused on enhancing performance, reducing computational costs, and minimizing equipment size for practical applications. One effective approach to address these challenges is minimizing the number of recording channels. Among various neuroimaging modalities used in BCI development, near-infrared spectroscopy (NIRS) has unique characteristics, requiring two optodes to form a single channel. As a result, reducing the number of NIRS channels does not necessarily decrease the total number of optodes, potentially leaving the equipment bulky and inconvenient. In this study, we propose a novel channel selection algorithm, optode-based sequential forward selection (oSFS), which enhances the traditional SFS (tSFS) algorithm by accounting for the number of optodes. The proposed oSFS explores the optimal placement of optodes by simultaneously evaluating optode pairings and classification accuracy. Both tSFS and oSFS significantly improved classification accuracy compared to using all channels, but no significant difference was found between the two methods. Notably, tSFS reduced the number of optodes by only 16% compared to using all channels, whereas oSFS reduced by 52% when obtained the highest accuracy. Our study introduces the first channel selection method tailored to the unique characteristics of NIRS, making a significant step toward the practical application of practical application of NIRS-based BCIs. © 2025 ieee.

关键词： Near infrared spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Lowering the Peak to Average Power Ratio by using the PTS method for high-speed application systems

Lowering the Peak to Average Power Ratio by using the PTS me...

引用

2025 international conference on computer, Electrical and Communication engineering, ICCECE 2025

作者： Kanjilal, Pushpendu Kumar, Arun Nanthaamornphong, Aziz Bhowmick, Soumitra Techno India University Department of Electronics and Communication Engineering Kolkata India New Horizon College of Engineering Department of Electronics and Communication Engineering Baengaluru India Prince of Songkla University Phuket Thailand

ISBN: (纸本)9798331513894

Orthogonal Time-Frequency Space is a promising modulation waveform for beyond-5G or 6G communication systems: superior robustness in high mobility and multipaths is achieved from the delay Doppler domain;however, one severe challenge of this OTFS was its high peak-to-average ratio of power, constraining the linearity of efficient power amplifiers at the transmitter which degrades further the overall performance of the entire system. This paper presents a new application of the Partial Transmit Sequence (PTS) method in reducing the PAPR for OTFS systems, which will ensure compatibility with future wireless networks that have stringent requirements. The PTS is a distortion less technique that divides the input signal into sub-blocks and applies optimized phase factors to reduce the peak power of the signal. It will help to eliminate computational complexity existing with traditional PTS and incorporates enhanced optimization techniques like heuristics algorithm, reduced space searching, hence ensuring a dramatic PAPR reduction with complexity that is minimized. Simulation analysis proved the ability of this proposed work for achieving efficient results in lowering the PAPR with relatively little effect on the bit error rate performances. The results demonstrate the feasibility of PTS-based PAPR reduction to further improve the energy efficiency, spectral efficiency, and reliability of OTFS systems, thereby making it an attractive solution for beyond 5G communication scenarios. The numerical results reveals that the proposed PTS obtain an energy saving of 25% and reduce the PAPR by 3.9 dB to 5.8 dB. © 2025 ieee.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

Segmentation of Ship Propeller Cavitation Area Using Image-based Anomaly Detection Network 6

Segmentation of Ship Propeller Cavitation Area Using Image-B...

引用

6th ieee international conference on Image Processing, Applications and systems, IPAS 2025

作者： Jeong, Wonje Shin, Yong-Jin Park, Soon-Yong Kyungpook National University School of Electronic and Electrical Engineering Daegu41566 Korea Republic of Samsung Heavy Industries Co. Ltd. Daejeon34051 Korea Republic of

ISBN: (纸本)9798331506520

Cavitation is the formation of vapor-filled cavities in the liquid. Cavitation in rotating propeller can cause various engineering problems to ships, such as hull vibration, noise, thrust reduction, and propeller corrosion. To address this cavitation problem in designing ship propellers, it needs to analyze the cavitation phenomenon in real propellers. In this study, we introduce a computer vision method to detect and segment cavitation areas in a rotating propeller. The pro-posed method captures the images of a high-speed rotating propeller in a water tunnel and detect the image area of the cavitation. As the first study in the im-age-based automatic cavitation detection, we employ a deep neural network, an anomaly detection method called DDAD (Anomaly Detection with Conditioned Denoising Diffusion Models). In addition, we also use a STN (Spatial Transformer Networks) network to compensate the image shaking caused by the vibration from the high-speed propeller and water flow. After the STN compensation, normal and abnormal images are automatically aligned to find cavitation areas more accurately. The proposed method is the first to use an anomaly detection network for ship propeller cavitation detection. Experimental results show that the proposed method can automatically detect the cavitation area without any annotation supervision. © 2025 ieee.

关键词： Cavitation

来源：评论

学校读者我要写书评

暂无评论

Dynamic Street Lighting based on Adaptive Learning

Dynamic Street Lighting based on Adaptive Learning

引用

2025 international conference on computer, Electrical and Communication engineering, ICCECE 2025

作者： Biswas, Suvrojyoti Sinha, Mourani Techno India University Department of Computer Science and Engineering West Bengal Kolkata India Techno India University Department of Mathematics West Bengal Kolkata India

ISBN: (纸本)9798331513894

Smart street light solution utilizing Long Range Wide Area Network (LoRaWAN) is one of the highly interesting topics in the field of Internet of Things (IoT) automation engineering. It is seen that many prototypes and modelling were served with IoT based sensors in this existing research idea globally and in fact Narrow Band IoT is used in some cases for data sharing along with secure communication channels. But some factors other than sensory technology associated with it will become more crucial to consider as those are emerging now like street light controlling as per traffic loads, adjustment of illumination power dynamically, and some changes of road condition if possible to distribute the data under a fault-tolerant architecture. In this paper, there is proposed an adaptive algorithm for street light control with decision-making logic based on Reinforcement Learning in some of the road cases as discernment. And with it traffic pattern observation to feed the dataset further using a deep learning technique. Also, simulate a Deep Q-learning algorithm that is necessary to be shown here and the most enthusiastic thing of implementation is to observe the road patterns and vehicular movements and note them clearly. © 2025 ieee.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

IoT based Portable Multi-Purpose Biometric Authentication System

IoT Based Portable Multi-Purpose Biometric Authentication Sy...

引用

2025 ieee international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Khobragade, Aman Wyawahare, Nikhil Gonnade, Priyanka G.H. Raisoni College of Engineering and Management Department of Cse Nagpur India Nagpur India G H Raisoni College of Engineering and Management Department of Cse Nagpur India

ISBN: (纸本)9798331529833

This research paper aims to contribute to the field of biometric attendance systems. Biometric system which uses unique biological traits like fingerprints for identification and authentication, offers several benefits over traditional authentication methods like passwords or ID cards. The benefits of using biometric system can be enhanced security, convenience and high efficiency, reduced risk of fraud, cost-effective in long run, accountability, scalability, multi-factor authentication, etc. In most of the organizations or institutes attendance is taken by the traditional methods like register book but this method takes time then attendance from these registers is uploaded to server for further attendance report of students. To withstand this problem, we have proposed an IoT based multipurpose biometric authentication system. We have developed a portable system that includes fingerprint sensors to recognize the fingerprint of various students and show the details of the students whose fingerprints have been scanned. The data from the fingerprint scanner is sent to the Raspberry PI server using Wi-Fi. We also have also designed a user interface for students and faculty to view and manage the students and their attendance. The attendance report can be exported to excel file any time faculty want the report. The biometric system provides 80% efficiency over the regular attendance methods. © 2025 ieee.

关键词： Query languages

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500页 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：