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

16,877 篇 会议
421 篇 期刊文献
114 册 图书
1 篇 学位论文

馆藏范围

17,412 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

10,171 篇 工学
- 8,448 篇 计算机科学与技术...
- 7,110 篇 软件工程
- 1,221 篇 电气工程
- 1,129 篇 控制科学与工程
- 904 篇 信息与通信工程
- 643 篇 机械工程
- 395 篇 生物工程
- 311 篇 电子科学与技术（可...
- 308 篇 生物医学工程（可授...
- 293 篇 土木工程
- 276 篇 建筑学
- 260 篇 化学工程与技术
- 239 篇 材料科学与工程（可...
- 213 篇 安全科学与工程
- 202 篇 仪器科学与技术
- 173 篇 动力工程及工程热...
2,889 篇 管理学
- 1,920 篇 管理科学与工程(可...
- 1,215 篇 图书情报与档案管...
- 991 篇 工商管理
2,331 篇 理学
- 1,339 篇 数学
- 424 篇 生物学
- 412 篇 物理学
- 328 篇 系统科学
- 311 篇 统计学（可授理学、...
- 215 篇 化学
913 篇 教育学
- 907 篇 教育学
316 篇 医学
- 260 篇 临床医学
- 228 篇 基础医学(可授医学...
265 篇 法学
- 221 篇 社会学
252 篇 经济学
- 246 篇 应用经济学
83 篇 农学
55 篇 文学
15 篇 军事学
7 篇 艺术学
1 篇 哲学

主题

1,539 篇 software enginee...
1,218 篇 software
1,111 篇 knowledge engine...
877 篇 application soft...
644 篇 knowledge based ...
544 篇 computer science
519 篇 knowledge manage...
430 篇 data mining
410 篇 software systems
398 篇 programming
391 篇 ontologies
365 篇 computer archite...
325 篇 education
268 篇 educational inst...
261 篇 artificial intel...
251 篇 computer aided s...
236 篇 software design
228 篇 semantics
209 篇 software archite...
207 篇 project manageme...

机构

49 篇 state key labora...
45 篇 college of compu...
33 篇 school of inform...
31 篇 school of comput...
29 篇 nanjing univ sta...
29 篇 school of softwa...
28 篇 school of comput...
26 篇 school of softwa...
25 篇 state key labora...
23 篇 college of infor...
23 篇 school of comput...
22 篇 college of compu...
20 篇 school of softwa...
20 篇 university of ch...
20 篇 school of electr...
19 篇 school of softwa...
19 篇 school of softwa...
18 篇 software enginee...
18 篇 school of softwa...
17 篇 national enginee...

作者

24 篇 biffl stefan
22 篇 jin zhi
22 篇 wang qing
17 篇 liu yang
15 篇 far behrouz h.
15 篇 liu jie
15 篇 wang wei
14 篇 washizaki hirono...
14 篇 xu baowen
13 篇 li li
13 篇 wei liu
12 篇 zamani bahman
12 篇 almeida hyggo
11 篇 zhang hongyu
11 篇 lu lu
11 篇 lu jie
11 篇 wotawa franz
10 篇 qing wang
10 篇 shen beijun
10 篇 wu huisi

语言

17,151 篇 英文
157 篇 其他
79 篇 中文
25 篇 西班牙文
7 篇 葡萄牙文
2 篇 德文
2 篇 法文
2 篇 土耳其文
1 篇 俄文
1 篇 斯洛伐克文

检索条件"任意字段=Knowledge-Based Software Engineering Conference"

共 17413 条记录，以下是321-330 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：

Intelligent Driving Safety Monitoring based on Machine Learning - An Example of Students Research Training Program in the Context of New engineering Disciplines 24

Intelligent Driving Safety Monitoring Based on Machine Learn...

引用

3rd International conference on Computer, Artificial Intelligence and Control engineering, CAICE 2024

作者： Liu, Jiacheng Luo, Haoyue Gao, Yushu Liang, Ruiyu Zeng, Ruoyan Pan, Xing School of Reliability and Systems Engineering Beihang University Beijing China

ISBN: (纸本)9798400716942

The development of new engineering technologies such as artificial intelligence, machine learning, and big data analysis has prompted engineering colleges to keep up with the times in their courses and introduce relevant knowledge to cultivate professionals in different fields. Research training, as an important form of practical teaching in current colleges and universities, plays an important role in improving the innovation and entrepreneurship abilities of undergraduate students. This article takes a comprehensive research project conducted by the junior students at Beihang University as an example, and provides an example of cross disciplinary research training using emerging technologies such as machine learning and quality and reliability related professional knowledge in the context of new engineering. Quality and reliability are interdisciplinary fields involving aerospace, information, transportation, new energy, and other fields. Through scientific research training in new engineering, students can aim at these fields and comprehensively apply professional knowledge learned in the classroom and new engineering technologies mastered in practice to solve practical problems. This research training example focuses on comprehensive security monitoring in the field of intelligent transportation, using machine learning and other methods to process driver personnel data, environmental data, and vehicle data related to driving safety. Through training, mathematical models and methods that characterize the safety status of human-machine co driving are obtained, and corresponding software systems are developed. Although this training example is targeted at the emerging field of intelligent transportation, it also has certain reference significance for practical teaching in other professions and practical applications in other fields. © 2024 ACM.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

SemParser: A Semantic Parser for Log Analytics 23

SemParser: A Semantic Parser for Log Analytics

引用

45th IEEE/ACM International conference on software engineering (ICSE)

作者： Huo, Yintong Su, Yuxin Lee, Cheryl Lyu, Michael R. Chinese Univ Hong Kong Comp Sci & Engn Dept Hong Kong Peoples R China Sun Yat Sen Univ Sch Software Engn Zhuhai Peoples R China

ISBN: (纸本)9781665457019

Logs, being run-time information automatically generated by software, record system events and activities with their timestamps. Before obtaining more insights into the run-time status of the software, a fundamental step of log analysis, called log parsing, is employed to extract structured templates and parameters from the semi-structured raw log messages. However, current log parsers are all syntax-based and regard each message as a character string, ignoring the semantic information included in parameters and templates. Thus, we propose the first semantic-based parser SemParser to unlock the critical bottleneck of mining semantics from log messages. It contains two steps, an end-to-end semantics miner and a joint parser. Specifically, the first step aims to identify explicit semantics inside a single log, and the second step is responsible for jointly inferring implicit semantics and computing structural outputs according to the contextual knowledge base of the logs. To analyze the effectiveness of our semantic parser, we first demonstrate that it can derive rich semantics from log messages collected from six widely-applied systems with an average F1 score of 0.985. Then, we conduct two representative downstream tasks, showing that current downstream models improve their performance with appropriately extracted semantics by 1.2%-11.7% and 8.65% on two anomaly detection datasets and a failure identification dataset, respectively. We believe these findings provide insights into semantically understanding log messages for the log analysis community.

关键词： log analytics log parsing semantic parser

来源：评论

学校读者我要写书评

暂无评论

Research on Multimodal knowledge Graph Construction Method based on Conditional Random Field Model 7

Research on Multimodal Knowledge Graph Construction Method B...

引用

7th International conference on Education, Network and Information Technology, ICENIT 2024

作者： Peng, Kanghua Qiao, Yifang Shi, Jincheng Information Engineering Institute Guangdong Engineering Polytechnic Guangzhou510520 China Guangdong Food and Drug Vocational College School of Nursing Guangzhou510520 China Jinan University Science and Technology Research Office Guangzhou510632 China

ISBN: (纸本)9798350374919

In an effort to enhance the efficiency and decision-making levels of higher education teaching management, and to address the fragmented, disorganized, and scattered state of online and offline educational resources, a new approach to constructing educational resources in emerging fields has been explored. The study proposes a method for entity extraction suitable for the software technology specialty domain, designs a Conditional Random Field (CRF) model, and employs new word discovery plus named entity recognition, along with dependency syntax analysis and entity relationship extraction algorithms for knowledge fusion. This leads to the visualization of knowledge graphs, building semantic associations within the entire discipline's knowledge points, and constructing a multimodal educational knowledge graph in the field of database technology. Using the software technology specialty group's platform course on database technology as a carrier, the method is implemented across three scenarios: offline textbooks, online MOOCs, and IT blogs. Among these, text recognition has achieved 100% accuracy, recall probability, and F-value on some pages, successfully completing the construction of subject and course knowledge graphs. The results show that the knowledge graph can visualize the relationships between course knowledge units, optimize course settings, meet the needs of intelligent search for teaching resources and personalized recommendation of course resources, solve the problem of resource information disorientation, make the use of educational resources more efficient, and achieve the construction goals of supporting teaching resources. © 2024 IEEE.

关键词： knowledge graph

来源：评论

学校读者我要写书评

暂无评论

CtxFuzz: Discovering Heap-based Memory Vulnerabilities Through Context Heap Operation Sequence Guided Fuzzing 18th

CtxFuzz: Discovering Heap-Based Memory Vulnerabilities Throu...

引用

18th International conference on Theoretical Aspects of software engineering (TASE)

作者： Jiang, Jiacheng Wen, Cheng Qin, Shengchao Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Xidian Univ Guangzhou Inst Technol Xian Peoples R China

ISBN: (纸本)9783031646256;9783031646263

Heap-based memory vulnerabilities are significant contributors to software security and reliability. The presence of these vulnerabilities is influenced by factors such as code coverage, the frequency of heap operations, and the specific execution order. Current fuzzing solutions aim to efficiently detect these vulnerabilities by utilizing static analysis or incorporating feedback on the sequence of heap operations. However, these solutions have limited practical applicability and do not comprehensively address the temporal and spatial aspects of heap operations. In this paper, we propose a dedicated fuzzing technique called CtxFuzz to efficiently discover heap-based temporal and spatial memory vulnerabilities without requiring any domain knowledge. CtxFuzz utilizes context heap operation sequences (the sequences of heap operations such as allocation, deallocation, read, and write that are associated with corresponding heap memory addresses) as a new feedback mechanism to guide the fuzzing process. By doing so, CtxFuzz can explore more heap states and trigger more heap-based memory vulnerabilities, both temporal and spatial. We evaluate CtxFuzz on 9 real-world open-source programs and compare their performance with 5 state-of-the-art fuzzers. The results demonstrate that CtxFuzz outperforms most fuzzers in terms of discovering heap-based memory vulnerabilities. Moreover, Our experiments led to the identification of 10 zero-day vulnerabilities (10 CVEs).

关键词： Open systems

来源：评论

学校读者我要写书评

暂无评论

A Comparison of the Usefulness of Game-based Learning and Video-based Learning for Teaching software engineering in Online Environments 53

A Comparison of the Usefulness of Game-Based Learning and Vi...

引用

53rd IEEE ASEE Frontiers in Education International conference, FIE 2023

作者： Gordillo, Aldo López-Fernández, Daniel Tovar, Edmundo Mayor, Jesus Universidad Politécnica de Madrid Madrid Spain

ISBN: (纸本)9798350336429

Despite prior research has shown several benefits of game-based and video-based learning and has compared these methodologies versus traditional instruction, little work has been done to compare their usefulness, especially in online education settings. This paper examines and compares the usefulness of game-based learning using educational video games and video-based learning for teaching software engineering in online environments. The design of this research is quasi-experimental, involving a control and an experimental group. A total of 193 software engineering students participated in this research, 45 in the control group and 148 in the experimental group. Both groups took a lesson about software design, but the students in the control group learned through online video-based learning, whereas their counterparts in the experimental group learned through online game-based learning. A survey was used to collect students' perceptions and pre- and post-tests were used to measure acquired knowledge. The results indicate that both learning methodologies were found to be beneficial for student learning and that online game-based learning outperformed online video-based learning in terms of students' perceptions. © 2023 IEEE.

关键词： educational games Game-based learning higher education online learning serious games software engineering video-based learning

来源：评论

学校读者我要写书评

暂无评论

BiKD-Yolo: A Small Object Detection Algorithm from UAV Perspective based on BiFormer Attention and knowledge Distillation 20

BiKD-Yolo: A Small Object Detection Algorithm from UAV Persp...

引用

20th International conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2024

作者： Hua, Xiang Cai, Zeju Zhu, Xiangyuan Aijia, Ouyang School of Software Engineering Sun Yat-sen University Guangdong China School of Computer Science and Software Zhaoqing University Guangdong China School of Information Engineering Zunyi Normal University Guizhou China

ISBN: (纸本)9798350356328

Object detection is crucial for the real-time operations of Unmanned Aerial Vehicles (UAVs), particularly in identifying small objects within UAV imagery. While existing computer vision techniques have shown success in UAV applications, detecting small objects remains challenging due to limited information, small size, and low resolution. This study presents the BiKD-YOLO approach, which combines BiFormer attention and knowledge distillation to enhance both the precision and efficiency of small object detection. We employ SAHI (Slice-Assisted Hyper-Inference) cropping to enlarge small objects in images, followed by knowledge distillation for model compression, facilitating knowledge transfer from larger to smaller models for streamlined operation. Through the incorporation of the BiFormer attention mechanism, the detection process is further refined by focusing on critical regions of interest, thereby improving overall accuracy. Experimental Results from tests on the VisDrone dataset show that BiKD-Yolo greatly surpasses the baseline, delivering superior performance in detection accuracy, mAP, and AP metrics. In summary, the BiKD-Yolo method presents a novel and effective solution for improving small object detection in UAV images, offering enhanced accuracy and speed. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Design of an Operating Device for a High-Performance knowledge Processor

Design of an Operating Device for a High-Performance Knowled...

引用

2024 conference of Young Researchers in Electrical and Electronic engineering, ElCon 2024

作者： Meltsov, Vasily Yu. Golovin, Aleksei A. Strabykin, Dmitry A. Batashev, Pavel A. Vyatka State University Department of Electronic Computers Kirov Russia Saint Petersburg Electrotechnical University 'LETI' Department of Software and Computer Applications Saint-Petersburg Russia

ISBN: (纸本)9798350360646

The article describes the process of designing an operating device for inclusion in a specialized inference processor. The operating device is implemented in hardware based on the Altera Cyclone III FPGA, and the control unit is implemented in microsoftware. The experiments performed show the correct execution of parallel algorithms and increased performance compared to serial microprocessors. © 2024 IEEE.

关键词： disjuncts division FPGA intelligent system operating device specialized processor

来源：评论

学校读者我要写书评

暂无评论

Enhancing engineering Education Through LLM-Driven Adaptive Quiz Generation: A RAG-based Approach 54

Enhancing Engineering Education Through LLM-Driven Adaptive ...

引用

54th IEEE Frontiers in Education conference, FIE 2024

作者： Gopi, Sreekanth Sreekanth, Devananda Dehbozorgi, Nasrin Kennesaw State University Department of Computer Science KennesawGA United States Kennesaw State University Department of Software Engineering KennesawGA United States

ISBN: (纸本)9798350351507

This research-to-practice study aims to develop an Artificial Intelligence (AI) MCQ generation system for engineering students, with a focus on adaptive learning, educational technology, and innovative assessment tools, to enhance personalized learning. engineering education faces significant academic performance challenges, with first-year retention rates in STEM fields ranging between 27% to 46%, largely due to poor academic achievements. Multiple Choice Questions (MCQs) identify misconceptions, reinforce knowledge retention, and offer efficient assessment methods for engineering education. This interactive method improves attention and memory retention, reinforces knowledge, and improves comprehension. In this context, the emergence of Large Language Models (LLMs) such as GPT-4 has marked a significant advancement. Our literature review method employed a systematic approach, analyzing peer-reviewed articles, conference papers, and authoritative reports to uncover the trends and challenges in AI-driven quiz generation. The notable gap identified in our literature review is the lack of LLM-based adaptive quiz generation methods specifically for engineering education. Our methodology involved sourcing relevant structured datasets, data pre-processing, embedding generation, vector database storage, hybrid-search retrieval, LLM query results feed, prompt engineering, and context-based response. In this research, we adopted Vectara as a vector database tool for its automatic data ingestion capabilities and seamless integration with generative AI applications. Prompt engineering involves a dual-prompt approach, where the Contextual Question Prompt formulates questions based on user topics and chat history, while the Answer Question Prompt manages MCQ responses with explanations, ensuring relevant and contextually accurate interactions. Evaluation includes topic relevancy, answer relevancy, and a contextual relevancy score. Preliminary results indicate promising results

关键词： engineering education

来源：评论

学校读者我要写书评

暂无评论

Toward Automatically Completing GitHub Workflows 24

Toward Automatically Completing GitHub Workflows

引用

46th IEEE/ACM International conference on software engineering, ICSE 2024

作者： Mastropaolo, Antonio Bavota, Gabriele Zampettti, Fiorella Penta, Massimiliano Di SEART @ Software Institute Università della Svizzera Italiana Lugano Switzerland Dept. of Engineering University of Sannio Benevento Italy

ISBN: (纸本)9798400702174

Continuous integration and delivery (CI/CD) are nowadays at the core of software development. Their benefits come at the cost of setting up and maintaining the CI/CD pipeline, which requires knowledge and skills often orthogonal to those entailed in other software-related tasks. While several recommender systems have been proposed to support developers across a variety of tasks, little automated support is available when it comes to setting up and maintaining CI/CD pipelines. We present GH-WCOM (GitHub Workflow COMpletion), a Transformer-based approach supporting developers in writing a specific type of CI/CD pipelines, namely GitHub *** deal with such a task, we designed an abstraction process to help the learning of the transformer while still making GH-WCOM able to recommend very peculiar workflow elements such as tool options and scripting elements. Our empirical study shows that GH-WCOM provides up to 34.23% correct predictions, and the model’s confidence is a reliable proxy for the recommendations’ correctness likelihood. © 2024 IEEE Computer Society. All rights reserved.

关键词： Pipelines

来源：评论

学校读者我要写书评

暂无评论

How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching 24

How the Training Procedure Impacts the Performance of Deep L...

引用

28th International conference on Evaluation and Assessment in software engineering (EASE)

作者： Mastropaolo, Antonio Nardone, Vittoria Bavota, Gabriele Di Penta, Massimiliano Univ Svizzera Ialiana USI Lugano Switzerland Univ Molise Campobasso Italy Univ Sannio Benevento Italy

ISBN: (纸本)9798400717017

Generative deep learning (DL) models have been successfully adopted for vulnerability patching. However, such models require the availability of a large dataset of patches to learn from. To overcome this issue, researchers have proposed to start from models pre-trained with general knowledge, either on the programming language or on similar tasks such as bug fixing. Despite the efforts in the area of automated vulnerability patching, there is a lack of systematic studies on how these different training procedures impact the performance of DL models for such a task. This paper provides a manyfold contribution to bridge this gap, by (i) comparing existing solutions of self-supervised and supervised pre-training for vulnerability patching;and (ii) for the first time, experimenting with different kinds of prompt-tuning for this task. The study required to train/test 23 DL models. We found that a supervised pre-training focused on bug-fixing, while expensive in terms of data collection, substantially improves DL-based vulnerability patching. When applying prompt-tuning on top of this supervised pre-trained model, there is no significant gain in performance. Instead, prompt-tuning is an effective and cheap solution to substantially boost the performance of self-supervised pre-trained models, i.e., those not relying on the bug-fixing pre-training.

关键词： software Vulnerability Repair Pre-Trained Models Machine Learning on Code Prompt Tuning

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 << < 29 30 31 32 33 34 35 36 37 38 > >>

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：