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

18,207 篇 会议
8,875 篇 期刊文献
276 册 图书

馆藏范围

27,358 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

16,437 篇 工学
- 11,792 篇 计算机科学与技术...
- 9,729 篇 软件工程
- 3,231 篇 信息与通信工程
- 2,188 篇 控制科学与工程
- 1,885 篇 电气工程
- 1,873 篇 生物工程
- 1,601 篇 电子科学与技术（可...
- 1,472 篇 生物医学工程（可授...
- 1,174 篇 光学工程
- 1,070 篇 机械工程
- 867 篇 化学工程与技术
- 744 篇 仪器科学与技术
- 720 篇 动力工程及工程热...
- 686 篇 材料科学与工程（可...
- 625 篇 安全科学与工程
- 509 篇 建筑学
8,420 篇 理学
- 4,173 篇 数学
- 2,339 篇 物理学
- 2,208 篇 生物学
- 1,282 篇 统计学（可授理学、...
- 979 篇 化学
- 956 篇 系统科学
4,599 篇 管理学
- 2,869 篇 管理科学与工程(可...
- 1,904 篇 图书情报与档案管...
- 1,466 篇 工商管理
1,449 篇 医学
- 1,232 篇 临床医学
- 1,075 篇 基础医学(可授医学...
- 653 篇 药学(可授医学、理...
739 篇 法学
- 588 篇 社会学
638 篇 教育学
- 604 篇 教育学
500 篇 经济学
315 篇 农学
110 篇 文学
67 篇 军事学
40 篇 艺术学
3 篇 哲学
1 篇 历史学

主题

1,262 篇 software enginee...
1,155 篇 computer science
467 篇 deep learning
416 篇 application soft...
412 篇 computational mo...
385 篇 accuracy
367 篇 machine learning
362 篇 computer archite...
358 篇 training
342 篇 software
315 篇 feature extracti...
279 篇 internet of thin...
279 篇 software systems
261 篇 support vector m...
260 篇 data mining
231 篇 testing
229 篇 programming
216 篇 artificial intel...
196 篇 semantics
186 篇 optimization

机构

355 篇 college of compu...
197 篇 department of co...
115 篇 department of co...
114 篇 department of co...
107 篇 school of softwa...
105 篇 state key labora...
90 篇 department of co...
68 篇 department of co...
65 篇 department of co...
57 篇 department of co...
57 篇 department of co...
50 篇 department of co...
46 篇 department of so...
46 篇 department of co...
45 篇 school of inform...
41 篇 department of co...
41 篇 college of compu...
41 篇 department of co...
41 篇 department of co...
40 篇 school of comput...

作者

56 篇 rajkumar buyya
43 篇 man ka lok
43 篇 baowen xu
36 篇 stuckey peter j.
36 篇 andrea alù
34 篇 niyato dusit
31 篇 kono junichiro
30 篇 shen furao
28 篇 ivan i. smalyukh
25 篇 muhammad waseem ...
25 篇 liu yang
24 篇 wang lei
24 篇 rehman attique u...
22 篇 khomh foutse
22 篇 jiacun wang
21 篇 qusay h. mahmoud
21 篇 dozier gerry
21 篇 fattahi jaouhar
20 篇 zhi-hui wang
20 篇 kotagiri ramamoh...

语言

25,982 篇 英文
1,154 篇 其他
211 篇 中文
11 篇 日文
9 篇 德文
8 篇 土耳其文
4 篇 朝鲜文
2 篇 葡萄牙文
2 篇 俄文
1 篇 阿拉伯文
1 篇 法文
1 篇 斯洛文尼亚文

检索条件"机构=Software Engineering Program Department of Computer Engineering"

共 27358 条记录，以下是4501-4510 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：

VRGrip: Developing a Grip Strength Training Platform Integrating a Wireless E-Textile Forearm Band with an Adaptive 3D VR Game Environment

VRGrip: Developing a Grip Strength Training Platform Integra...

引用

2023 IEEE MIT Undergraduate Research Technology Conference, URTC 2023

作者： Chatragadda, Lohith Fletcher, Aiden Delmonico, Matthew J. Mankodiya, Kunal Solanki, Dhaval University of Rhode Island Interdisciplinary Neuroscience Program KingstonRI United States University of Rhode Island Department of Kinesiology KingstonRI United States University of Rhode Island Department of Electrical Computer and Biomedical Engineering KingstonRI United States

ISBN: (纸本)9798350308600

Neurodegenerative disease is a growing global problem. Many of these diseases such as Parkinson's disease can cause grip strength weakness. In this work, we focused on developing an e-Textile based EMG acquisition system interfaced with an adaptive VR game engine for detecting hand squeeze actions. We prototyped and performed preliminary tests on a grip detection system consisting of: 1) an e-Textile forearm band (E-band), 2) a portable data acquisition module (DAM), and 3) an adaptive 3D VR game engine. Digital health solutions such as our VRGrip system widen the scope of in-home rehabilitation and assessment, and we aimed to make the first step in creating a system for grip strength rehabilitation. To validate our concept, we performed preliminary tests. These tests revealed that the Bluetooth communication protocol between DAM and the game engine was reliable, that the adaptive game engine successfully tailors the game's difficulty level to the user's performance, and that the system was reliable at detecting hand squeezes (F=0.96). © 2023 IEEE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Empirical Study on Mispronunciation Detection for Tajweed Rules during Quran Recitation

Empirical Study on Mispronunciation Detection for Tajweed Ru...

引用

Computing and Informatics (ICCI), International Conference on

作者： Yousef S Alsahafi Muhammad Asad Department of Information technology Computing and Information technology at Khulis College University of Jeddah Jeddah Saudi Arabia Department of Computer and Software Engineering College of Electrical and Mechanical Engineering National University of Science and Technology Islamabad Pakistan

This paper presents an extensive empirical study aiming to identify the optimal combination of feature extraction techniques and machine learning algorithms, including deep learning, for automated mispronunciation detection during Quran recitation. Three feature extraction methods-Mel-Frequency Cepstral Coefficients (MFCC), Spectrogram, and Kaldi pitch - are systematically evaluated in conjunction with a diverse set of classifiers, including Gradient Boosting (GB), Support Vector Machines (SVM), Logistic Regression (LR), Random Forest (RF), Artificial Neural Network (ANN), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks. The study leverages the QDAT dataset, comprising 1500 audio samples from 150 readers, with metadata specifying age, gender, and three distinct rules for mispronunciation detection. Experimental results demonstrate that the integration of MFCC with deep learning classifiers consistently achieves the highest performance across multiple evaluation metrics. Model robustness is validated using receiver operator characteristic curves (ROC) and accuracy metrics.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mini Prototype of the Futuristic Bin with an Automatic Waste Sortation System for Managing the Garbage Problems in Society

Mini Prototype of the Futuristic Bin with an Automatic Waste...

引用

International Conference on Wireless and Telematics (ICWT)

作者： Muhammad Taufik Dwi Putra Anugrah Adiwilaga Jezzy Putra Munggaran Muhammad Azka Adhitama Raihan Anwar As'Ad Ahmad Ali Alhafidz Rin Rin Nurmalasari Agus Juhana Computer Engineering Study Program Universitas Pendidikan Indonesia Bandung Indonesia Department of Electrical Engineering UIN Sunan Gunung Djati Bandung Indonesia Multimedia Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350377057

ISBN: (纸本)9798350377064

This article explores the development and implementation of futuristic bins with automated waste sortation systems to address improper and mixed waste disposal challenges. Despite the existence of categorized waste bins, individuals often dispose of waste improperly, hindering the sorting and decomposition processes. Integrating advanced technologies, such as Artificial Intelligence (AI), futuristic bins offer innovative solutions. Futuristic bins with automated sorting systems facilitate accurate waste sorting, reduce mixing, and optimize waste disposal. These bins increase efficiency, reduce costs, and optimize collection routes while promoting environmental cleanliness and awareness of waste management. The article describes the research methodology, including preliminary study, specification requirements analysis, prototype development, and testing. The results demonstrate the implemented system's accuracy and real-time object detection capabilities. The study also acknowledges limitations and suggests future research directions, including improving communication between object detection algorithms and microcontrollers. Overall, the development of futuristic bins with automated waste sortation systems represents a significant advancement in waste management, with the potential to revolutionize waste management systems and create sustainable cities and communities.

关键词： Accuracy Costs Urban areas Prototypes Object detection Real-time systems Waste disposal

来源：评论

学校读者我要写书评

暂无评论

Moving Object Recognition and Tracking Based on Image-fusion Frame Differencing and Differential Translational Transform

Moving Object Recognition and Tracking Based on Image-fusion...

引用

IEEE International Conference on Human-Machine Systems

作者： Minghui Chen Yingjun Ji Aoyuan Wang Jiacun Wang College of Information Liaoning University Shenyang China Department of Computer Science and Software Engineering Monmouth University West Long Branch NJ USA

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

To address the issue of sensitivity to external interference and noise in traditional moving object recognition and tracking algorithms, this paper proposes a novel algorithm that combines Image Fusion-based Frame Difference (IFD) with Differential Translation Transformation (DTT). Firstly, image enhancement and noise reduction are applied to adjust contrast and brightness in the images of moving objects. Subsequently, the IFD algorithm is employed to adjust the blending of new frame with the background, smoothly fusing them. Pixel differences between the fusion frame and the background are calculated to identify moving objects in the image. Matching is performed between the target areas obtained by the IFD algorithm based on pixel displacement differences between consecutive frames and the target displacements obtained by the DTT algorithm. This allows for recognition and tracking of the targets. To validate the effectiveness of the algorithm, experiments are conducted on two sets of moving-object image data, resulting in accuracies of 90.12% and 90.87%.

关键词： Training Visualization Accuracy Target tracking Machine learning algorithms Sensitivity Target recognition

来源：评论

学校读者我要写书评

暂无评论

Enhancing Anomaly Detection in Electric Vehicle Supply Equipment (EVSE) Networks Using Classical and Ensemble Learning Approaches

Enhancing Anomaly Detection in Electric Vehicle Supply Equip...

引用

Control Instrumentation System Conference (CISCON)

作者： Sandeep R. Hegde Vijayabhaskaramoorthy V. K. R. M. Vijaya Chandrakala Gireesh Kumar T. V. K. Arun Shankar Department of Computer Science and Engineering Amrita School of Computing Coimbatore Amrita Vishwa Vidyapeetham India Department of Electrical and Electronics Engineering Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India Software Testing Engineer Danfoss Industries Private Limited USA

ISBN: (数字)9798350375480

ISBN: (纸本)9798350375497

Electric Vehicle Supply Equipment (EVSE) networks, integral to modern transportation systems, are vulnerable to cyber threats due to integration into smart grids and IoT ecosystems. EVSE network A represents a traditional, centralized EV charging infrastructure, whereas EVSE network B denotes a distributed, decentralized charging network with varying levels of connectivity. This research investigates the security landscape of EVSE networks A and B, focusing on the detection and classification of network attacks. Through meticulous comparative analysis, the research highlights the effectiveness of Ensemble Learning over Classical learning models in improving attack classification precision. This approach enhances the precision of attack detection by leveraging diverse algorithms and data sources to mitigate security risks effectively.

关键词： Biological system modeling Soft sensors Instruments Ecosystems Transportation Smart grids Security Ensemble learning Internet of Things Context modeling

来源：评论

学校读者我要写书评

暂无评论

Development of Microcontroller-Based Pure Sine Wave Inverter with Overload and Overheating Protection 17

Development of Microcontroller-Based Pure Sine Wave Inverter...

引用

17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2024

作者： Holovatyy, Andriy Lobur, Mykhaylo Holovata, Sofia Lukaszewicz, Andrzej Nowakowski, Marek Kolesnyk, Kostyantyn Lviv Polytechnic National University Department of Computer-Aided Design Systems Lviv Ukraine Ukrainian National Forestry University Department of Software Engineering Lviv Ukraine Bialystok University of Technology Department of Machinery Design and Operation Bialystok Poland Military Institute of Armoured and Automotive Technology Development Department Sulejowek Poland Lviv Polytechnic National University Department of Computera-Aided Design Systems Lviv Ukraine

ISBN: (纸本)9798331520564

In the paper, hardware and software of the Arduino based pure sine wave inverter with overload and overheating protection have been developed. The inverter constantly monitors the consumption current, the battery voltage, the temperature of the power switches (radiator) and, if their parameters are normal, forms a sinusoidal voltage of 230 V, 50 Hz at the output of the inverter, similar to the network voltage. The inverter provides the display of information on the LCD screen about current and power consumption, battery voltage, temperature of the inverter power switches, as well as display of emergency icons when the permissible operating parameters are exceeded. The inverter generates sound and visual warning messages with LED indicators and buzzer. The inverter can be used as a lightweight low-power 100 W network inverter with sine-wave voltage for autonomous power supply of low-power electronics. © 2024 IEEE.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

SMART: Serverless Module Analysis and Recognition Technique for Managed Applications

SMART: Serverless Module Analysis and Recognition Technique ...

引用

IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)

作者： Adi Ashkenazi Edita Grolman Aviad Elyashar Dudu Mimran Oleg Brodt Yuval Elovici Asaf Shabtai Department of Software and Information Systems Engineering Ben-Gurion University of the Negev Israel Cyber Labs@BGU Ben-Gurion University of the Negev Israel Department of Computer Science Shamoon College of Engineering Beer-Sheva Israel

ISBN: (数字)9798350395662

ISBN: (纸本)9798350395679

Serverless Function-as-a-Service (FaaS) environments enable developers to build and run cloud applications without the need to manage the underlying servers and computing infrastructure, allowing them to focus on implementing the application logic. Such environments contain numerous functions and dynamic resources, e.g., APIs and databases, making it challenging to gain insight and context of internal events i.e., recognize modules. Module in a serverless application is a set of functions and resources, that represents a functional unit that shares logical context. This paper presents SMART, a method for automatic analysis and recognition of modules for managed serverless applications. The proposed method creates an event-based graph by analyzing the standard serverless logs that document events involving the application’s functions and resources and utilizes well-known community detection algorithms (such as Louvain), with graph centrality metrics (such as degree centrality) to recognize the modules. SMART enables high-level visibility of the application’s structure and logical context which can facilitate security analysis and contribute to improved decision-making of incident response handlers, who typically do not have direct access to the application’s design and code, which can lead to challenges in fully understanding the system’s intricacies. We focused on the popular Amazon Web Services (AWS) Lambda serverless computing platform and evaluated the proposed method on three different demo applications (Airline Booking, VOD, and E-commerce). We compared SMART’s performance to four overlapping community detection algorithms and showed that it outperformed them in the task of module recognition, with a maximum improvement of 61% on the omega index metric compared to the Speaker-Listener Label Propagation algorithm. In addition, we demonstrate that the use of large language models (LLMs) with the knowledge gained by SMART can enrich security analysis insights.

关键词： Measurement Web services Serverless computing computer architecture Security Indexes Electronic commerce Detection algorithms Standards Airline industry

来源：评论

学校读者我要写书评

暂无评论

Classification and Segmentation of Gastroenterology Images Using Saliency Mapping in Convolutional Neural Network

Classification and Segmentation of Gastroenterology Images U...

引用

International Bhurban Conference on Applied Sciences & Technology, IBCAST

作者： Yusra Khan Arslan Shaukat Farhan Riaz Department of Computer and Software Engineering CE&ME National University of Sciences and Technology (NUST) Islamabad Pakistan School of Computer Science University of Lincoln Lincoln United Kingdom

ISBN: (数字)9798331516680

ISBN: (纸本)9798331516697

This research work has been done towards the treatment of Gastrointestinal (GI) Cancer by experimenting as to how a computer aided design can help oncologists classify and segment GI Cancer using Gastroenterology (GE) Images. The concept of Attention Module by the name of Convolution Block Attention Module (CBAM) using Convolutional Neural Network (CNN) layers has been utilized to achieve saliency mapping in these images. The different layers of the CNN are tweaked and the hyper parameters are consistently checked and changed to achieve maximum accuracy. The CBAM Algorithm is divided into Channel Attention (CA) and Spatial Attention (SA) module. The Channel Attention has been implemented in the HSV Color Space for finding the best color space for segmentation purposes of the Chromo endoscopy medical images. Classification, followed by segmentation, is again implemented using CNN based model for normal and abnormal cancer images. For classification, 92% test accuracy has been achieved, while 70% Dice Similarity Coefficient has been obtained for segmentation. The results achieved are competitive as compared to the previous reported results on the GE images dataset.

关键词： Image segmentation Stomach Image color analysis Endoscopes Gastroenterology Germanium Classification algorithms Convolutional neural networks Cancer Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Gender-Based Bimodal Analysis of Speech and Text in Non-Contextual Emotion Recognition

Gender-Based Bimodal Analysis of Speech and Text in Non-Cont...

引用

Informatics International Conference (BTS-I2C), Beyond Technology Summit on

作者： Abby Rasya Angkasa Amalia Zahra Wai-Keung Fung Computer Science Department BINUS Graduate Program - Master of Computer Science Jakarta Indonesia Engineering Department Cardiff Metropolitan University - Cardiff School of Technologies Cardiff United Kingdom

ISBN: (数字)9798331508579

ISBN: (纸本)9798331508586

Emotion recognition can help human-computer interactions by enabling systems to respond empathetically and adapt to users' emotional conditions. This capability improves user experience, supporting the development of a more intuitive and emotionally responsive communication system. This study analyzes a bimodal approach based on gender (male and female) to recognize emotions without contextual information in dialogue analysis. Utilizing the Multimodal EmoryNLP dataset extracted from the TV series Friends with acted speech, we focused on four primary emotions: Angry, Neutral, Joy, and Scared. The model used in this study for text classification is RoBERTa, and wav2vec 2.0 is used for audio feature extraction with the Bi-LSTM model for classification. The experiment results using weighted F1-score reveal that data augmentation enhanced the performance of analyzing the original dataset from 0.46% to 0.52% and the male dataset from 0.43% to 0.51 %. In comparison, the female dataset remained consistent at 0.46%. The weighted F1-score and Unweighted Averaged Recall (UAR) from the male dataset are higher, 51 % and 48%, respectively, than those from the female dataset, 46% and 47%, respectively. Gender-based analysis indicated that male and female datasets exhibited distinct performance patterns, highlighting variations in emotional expression and recognition between genders. These findings underscore the effectiveness of multimodal strategies in emotion recognition and suggest that gender-specific factors play a significant role in enhancing classification performance. While these results highlight performance trends, further validation through repeated trials and statistical analyses could provide stronger generalizations and insights into gender-based differences.

关键词： Emotion recognition TV Statistical analysis Text categorization Speech recognition Linguistics Feature extraction Data augmentation Market research User experience

来源：评论

学校读者我要写书评

暂无评论

Towards Integrating Emerging AI Applications in SE Education

Towards Integrating Emerging AI Applications in SE Education

引用

Conference on software engineering Education & Training (CSEE&T)

作者： Michael Vierhauser Iris Groher Tobias Antensteiner Clemens Sauerwein Department of Computer Science University of Innsbruck Innsbruck Austria Institute of Business Informatics - Software Engineering Johannes Kepler University Linz Linz Austria

ISBN: (数字)9798350378979

ISBN: (纸本)9798350378986

Artificial Intelligence (AI) approaches have been incorporated into modern learning environments and software engineering (SE) courses and curricula for several years. However, with the significant rise in popularity of large language models (LLMs) in general, and OpenAI's LLM-powered chatbot ChatGPT in particular in the last year, educators are faced with rapidly changing classroom environments and disrupted teaching principles. Examples range from programming assignment solutions that are fully generated via ChatGPT, to various forms of cheating during exams. However, despite these negative aspects and emerging challenges, AI tools in general, and LLM applications in particular, can also provide significant opportunities in a wide variety of SE courses, supporting both students and educators in meaningful ways. In this early research paper, we present preliminary results of a systematic analysis of current trends in the area of AI, and how they can be integrated into university-level SE curricula, guidelines, and approaches to support both instructors and learners. We collected both teaching and research papers and analyzed their potential usage in SE education, using the ACM computer Science Curriculum Guidelines CS2023. As an initial outcome, we discuss a series of opportunities for AI applications and further research areas.

关键词： Systematics Large language models Learning (artificial intelligence) Chatbots Market research Artificial intelligence engineering education

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 << < 447 448 449 450 451 452 453 454 455 456 > >>

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：