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

11,708 篇 会议
771 篇 期刊文献

馆藏范围

12,479 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,069 篇 工学
- 1,072 篇 计算机科学与技术...
- 1,032 篇 电气工程
- 455 篇 软件工程
- 384 篇 信息与通信工程
- 292 篇 控制科学与工程
- 133 篇 电子科学与技术（可...
- 102 篇 仪器科学与技术
- 87 篇 机械工程
- 47 篇 生物医学工程（可授...
- 42 篇 网络空间安全
- 39 篇 交通运输工程
- 32 篇 航空宇航科学与技...
- 29 篇 材料科学与工程（可...
- 20 篇 测绘科学与技术
- 18 篇 核科学与技术
- 14 篇 动力工程及工程热...
- 14 篇 石油与天然气工程
- 14 篇 生物工程
- 13 篇 土木工程
- 12 篇 安全科学与工程
185 篇 理学
- 63 篇 物理学
- 57 篇 系统科学
- 34 篇 数学
- 18 篇 生物学
- 12 篇 化学
148 篇 管理学
- 142 篇 管理科学与工程(可...
- 15 篇 图书情报与档案管...
51 篇 医学
- 35 篇 临床医学
33 篇 文学
- 32 篇 新闻传播学
22 篇 教育学
- 22 篇 教育学
16 篇 农学
11 篇 军事学
7 篇 艺术学
5 篇 经济学
1 篇 法学

主题

12,479 篇 software algorit...
3,731 篇 software
1,965 篇 algorithm design...
1,777 篇 hardware
826 篇 computer archite...
805 篇 heuristic algori...
761 篇 application soft...
706 篇 software enginee...
645 篇 computer science
598 篇 software systems
571 篇 computational mo...
559 篇 prediction algor...
545 篇 optimization
521 篇 clustering algor...
473 篇 testing
428 篇 accuracy
412 篇 signal processin...
371 篇 costs
348 篇 machine learning...
320 篇 software testing

机构

18 篇 moscow technical...
15 篇 tsinghua univers...
14 篇 school of softwa...
14 篇 lviv polytechnic...
13 篇 state key labora...
12 篇 university of ch...
12 篇 state key labora...
11 篇 york university ...
11 篇 jet propulsion l...
9 篇 software school ...
9 篇 department of co...
9 篇 school of comput...
9 篇 nanjing univ sta...
8 篇 state key labora...
8 篇 school of electr...
8 篇 novosibirsk stat...
8 篇 software college...
8 篇 national univers...
8 篇 school of cyber ...
8 篇 college of compu...

作者

12 篇 ling chen
11 篇 david lo
11 篇 hui li
10 篇 wei liu
10 篇 kun wang
9 篇 li li
9 篇 gang wang
9 篇 yang yang
9 篇 jack dongarra
8 篇 rui wang
8 篇 jian wang
8 篇 jun wang
8 篇 w. wolf
8 篇 qingshan jiang
8 篇 thambipillai sri...
8 篇 m.n.s. swamy
7 篇 giuseppe scannie...
7 篇 t. dohi
7 篇 jinfu chen
7 篇 ning wang

语言

12,401 篇 英文
49 篇 其他
28 篇 中文
1 篇 葡萄牙文

检索条件"主题词=software algorithms"

共 12479 条记录，以下是511-520 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：

Priority of Requirements Sorting Method in software Engineering Based on Genetic Algorithm

Priority of Requirements Sorting Method in Software Engineer...

引用

software, Systems and Information Technology (SSITCON), International Conference on

作者： Hengji Cui Yan Du Dalian Neusoft University of Information Dalian Liaoning China

ISBN: (数字)9798350352931

ISBN: (纸本)9798350352948

Requirement priority is one of the core issues in software engineering, which directly determines the rational utilization of project resources, effective management of project risks, and the quality of the final product. This article constructs a requirement scoring model that describes the characteristics of requirements, proposes a software requirement prioritization method based on Non Dominated Sorting Genetic Algorithm II (NSGA-II), and applies it to requirement prioritization in software engineering. Through a series of comparative experiments, the NSGA-II demand priority algorithm has a fast convergence speed, high project completion rate, and high project resource utilization rate. The experimental results indicate that the convergence process takes up to 478 milliseconds. In terms of resource utilization efficiency, NSGA-II is the best, with the highest resource utilization rate of $87.4 \%$, which can provide effective support for requirement management in software engineering.

关键词： Requirements management Heuristic algorithms software algorithms software systems Resource management Tuning software engineering Sorting Convergence Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

A GA-BP Neural Network Based Prediction Method for Computer software Defects

A GA-BP Neural Network Based Prediction Method for Computer ...

引用

Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Ping Cao Xingai Li School of Economics and Management Shanghai Institute of Technology China

ISBN: (数字)9798350354560

ISBN: (纸本)9798350354577

The prediction of computer software defects is essential for ensuring software quality. Addressing the issues associated with the standard BP neural network in software defect prediction, such as slow convergence rate and a propensity to converge to local optima, a GA-BP neural network model for software defect prediction is proposed. Empirical results indicate that the GA-BP neural network exhibits superior convergence speed and prediction accuracy when compared to the conventional BP neural network, demonstrating its efficacy in predictive capabilities.

关键词： Analytical models Accuracy Computational modeling Neural networks software algorithms Predictive models Prediction algorithms software Genetic algorithms Convergence

来源：评论

学校读者我要写书评

暂无评论

Comparison of Novel Random Forest Algorithm over Gaussian Naïve Bayes for Improving Accuracy in software Bug Prediction System

Comparison of Novel Random Forest Algorithm over Gaussian Na...

引用

Recent Innovation in Smart and Sustainable Technology (ICRISST), International Conference on

作者： K S. Bharath P. Jagadeesh Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798350309140

ISBN: (纸本)9798350309157

Aim: This research work focuses on analyzing the performance of a proposed random forest method with that of Gaussian Naive Bayes in predicting software problems. Materials and Methods: The dataset utilized in this research was gathered from the Kaggle repository and contained information about software projects and their bug reports. A total of 20 samples were used in this study, with two groups formed and 10 samples randomly selected for each group. Group 1 was used for training and testing the Gaussian Naive Bayes algorithm, while Group 2 was used for training and testing the novel random forest algorithm. Python and relevant libraries such as scikit-learn were utilized for implementation. The dataset was preprocessed to remove irrelevant features and perform feature engineering. The algorithms were tested on the training set, and their performance was assessed using accuracy metric on the testing data. A statistical power of 0.8 was set, and alpha and beta qualities of 0.05 and 0.2, respectively, were used with a confidence interval of 95%. Results: The accuracy of the novel random forest approach was 78.59% on average, whereas the accuracy of the Gaussian Naive Bayes approach was 75.57% on average. The p-value for the statistically significant difference in accuracy between the two approaches was 0.001 ( p<0.05). Conclusion: The findings suggest that the novel random forest approach could be a useful tool for software developers and project managers to predict and prevent potential bugs in their projects.

关键词： Training Technological innovation Accuracy Computer bugs software algorithms software Naive Bayes methods Security Random forests Testing

来源：评论

学校读者我要写书评

暂无评论

Using Artificial Intelligence for Generative Design Through a software Tool in a Mechatronic Course

Using Artificial Intelligence for Generative Design Through ...

引用

Artificial Intelligence and Education (WAIE), International Workshop on

作者： H. R. Morano-Okuno G. Sandoval-Benitez Tecnologico de Monterrey School of Engineering and Science Mexico

ISBN: (数字)9798350378894

ISBN: (纸本)9798350378900

Nowadays, the number of Artificial Intelligence (AI) applications has significantly increased, such as in the case of the design of mechanical components and aeronautical structures, to name a few. The above is done via Generative Design founded on AI algorithms. Diverse software applications include these programmed algorithms, and menus and dialog boxes permit users to execute them quickly. This work was developed during a course for mechatronic engineering students in the sixth semester. The objectives were 1) to explore a Generative Design software application based on AI, 2) to determine the type of boundary conditions that must be specified to produce the Generative Design of components using AI algorithms, and 3) to know the perception of students when using this type of computational tools in their course. Results show that the higher the boundary conditions, the greater the computational resources required to generate the component design. Another finding indicates that students are interested in these computational tools for solving class exercises and continue to use them as didactic resources.

关键词： Mechatronics Codes Conferences software algorithms Education Boundary conditions Application software Artificial intelligence Engineering students software tools

来源：评论

学校读者我要写书评

暂无评论

Integrated Hardware and software Architecture for Industrial AGV with Manual Override Capability

Integrated Hardware and Software Architecture for Industrial...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Pietro Iob Mauro Schiavo Angelo Cenedese Department of Information Engineering University of Padova Padua Italy Techmo Car S.p.a. Padua Italy

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

This paper presents a study on transforming a traditional human-operated vehicle into a fully autonomous device. By leveraging previous research and state-of-the-art technologies, the study addresses autonomy, safety, and operational efficiency in industrial environments. Motivated by the demand for automation in hazardous and complex industries, the autonomous system integrates sensors, actuators, advanced control algorithms, and communication systems to enhance safety, streamline processes, and improve productivity. The paper covers system requirements, hardware architecture, software framework and preliminary results. This research offers insights into designing and implementing autonomous capabilities in human-operated vehicles, with implications for improving safety and efficiency in various industrial sectors.

关键词： Technological innovation software architecture software algorithms Computer architecture Hardware software Sensor systems Safety Sensors Resilience

来源：评论

学校读者我要写书评

暂无评论

software Framework for Simulation and Control of Quadruped Robot Solo12

Software Framework for Simulation and Control of Quadruped R...

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Milutin N. Nikolić Vladimir M. Mitić Aleksandar V. Lalić Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia Faculty of Electronic Engineering University of Niš Niš Serbia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Simulation tools are commonly used in robotics, because they enable people to conduct research without the hardware. Unfortunately, simulation never fully replicates the real world. For that reason there is an abundance of simulators where each one has it’s own strengths and weaknesses. We have built a software framework that enables us to run our control algorithms on different simulators or on the real robot just by modifying a single flag. That helps utilize the strengths of each simulator while removing the effort needed to run same the code on the real robot or different simulator. Currently supported simulators are PyBullet and MuJoCo. The focus of this paper is on quadruped Solo12 robot and mimicking the the real robot in the simulation. That type of robots is gaining popularity because they are proven to be very agile and stable. We will also utilize the tools provided by ROS2 to visualize the robot. The approach was verified on a real robot and two simulators. All described code is available online and is free to use.

关键词： Visualization Codes software algorithms software Hardware Quadrupedal robots Electron devices

来源：评论

学校读者我要写书评

暂无评论

A Deep Retrieval Model for Revit software Database Based on Keyword Mining Algorithm

A Deep Retrieval Model for Revit Software Database Based on ...

引用

Expert Clouds and Applications (ICOECA), International Conference on

作者： Mingling Yang Haijing Shang Wuhan University of Engineering Science Wuhan Hubei China

ISBN: (数字)9798350385793

ISBN: (纸本)9798350385809

This research study explores the implementation of a deep retrieval model for the Revit software database, harnessing the power of keyword mining algorithms to enhance the search functionality and efficiency. By extracting and categorizing relevant keywords from voluminous textual data, this research study can effectively organize and condense information, paving the way for seamless text mining and information retrieval efforts. This methodology results in a robust and reliable database that greatly simplifies the process of searching and retrieving relevant information. For the model under consideration, this study defines a dual-core network to capture the weighted contributions of two core nodes to each other within a local network. Specifically, the dual-core network consists of nodes 1 and 2, which share a common relationship, along with their neighboring nodes that connect them. The edge weights between these nodes are carefully assigned to accurately reflect the relevance of the connected nodes to the keyword query throughout the retrieval process. By updating these edge weights, this study can achieve an effective retrieval model. To rigorously assess the performance of our proposed algorithm, this study adopted a collaborative programming approach that combines the strengths of Python and MATLAB. The results indicate that our algorithm exhibits remarkable proficiency, with an average time consumption of 6.3 seconds and an impressive accuracy level of 0.990.

关键词： Text mining Databases software algorithms Programming Information retrieval Mathematical models software

来源：评论

学校读者我要写书评

暂无评论

Employing software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems

Employing Software Diversity in Cloud Microservices to Engin...

引用

Autonomic Computing and Self-Organizing Systems (ACSOS),International Conference on

作者： Nazanin Akhtarian Hamzeh Khazaei Marin Litoiu York University Toronto Canada

ISBN: (数字)9798350363876

ISBN: (纸本)9798350363883

In the ever-shifting landscape of software engineering, continuous adaptation is essential for maintaining system dependability. software iterations often introduce new challenges, such as unexpected bugs and performance anomalies, underscoring the importance of addressing these complexities to ensure sustained, robust operations. This work proposes employing software multi-versioning to enhance system reliability and performance simultaneously. A cornerstone of our approach is the derivation of a reliability metric, which encapsulates the reliability and performance of each software version under adverse conditions. Using this metric, a dynamic controller was designed to adjust the population of software versions, maintaining higher replica counts for more reliable versions while preserving diversity. Our diversity-aware autoscaling algorithm further optimizes system performance and reliability at any scale. Extensive experiments on realistic cloud microservice applications validate the effectiveness of our methodology.

关键词： Measurement System performance software algorithms Microservice architectures Reliability engineering software software reliability Reliability Engines software engineering

来源：评论

学校读者我要写书评

暂无评论

Leveraging Knowledge Graphs for Analyzing Open-Source software Ecosystems: A GitHub Case Study

Leveraging Knowledge Graphs for Analyzing Open-Source Softwa...

引用

International Conference for Convergence of Technology (I2CT)

作者： Vijith BG Arnav Kumar Harshita Singhal Samay Jain Sudeepa Roy Dey Dept. CSE PES University Bengaluru India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

In this paper, we investigate the transformative potential of knowledge graphs which is also known as semantic network in analyzing and comprehending the complex relationships within the GitHub platform. GitHub, as a thriving hub for open-source development, fosters collaboration, knowledge sharing, and collective problem-solving among a diverse community of developers. Our research presents a comprehensive approach to harnessing Neo4j, a robust graph database, to represent GitHub data as a knowledge graph. This approach is used to further uncover profound relationships between repositories, contributors, and their activities, offering a holistic view of the open-source development landscape. Additionally, we delve into the social networking dynamics of GitHub, revolutionizing developer communication, collaboration, and professional growth. Our three-phased methodology covers data extraction and pre-processing, graph processing, and knowledge graph creation. The combination of these phases enhances our analytical capabilities and affords a thorough understanding of GitHub’s expansive ecosystem. Through visualization tools and graph algorithms, we identify influential contributors and highly contributed repositories to reveal interesting insights and valuable information.

关键词： Industries Social networking (online) Ecosystems software algorithms Collaboration Data visualization Knowledge graphs

来源：评论

学校读者我要写书评

暂无评论

Harris Corner Detection Algorithm based Long Short-Term Memory for Detecting Distributed Denial of Service Anomalies in software Defined Networks

Harris Corner Detection Algorithm based Long Short-Term Memo...

引用

Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), International Conference on

作者： Rashmi Cigiri Gotte Ranjith Kumar Haider Alabdeli Y.M. Mahaboob John S. Kaliappan Malla Reddy Engineering College for Women (UGC-Autonomous) Hyderabad India Department of Computer Science & Artificial Intelligence SR University Warangal India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of ECE Mahendra College of Engineering Salem India Department of Research and Development Lovely Professional University Phagwara India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

software-Defined Networking (SDN) is the innovative development in network technology with a number of attractive features, including management and flexibility. Despite these advantages, SDN was compromised by Distributed Denial of Service (DDoS) attacks, which causes substantial challenge due to the harm networks. Hence, innovative model is required to identify DDoS attacks despite a range of security methods. In order to detect DDoS attacks in SDN in real time, the Harris Corner Detection Algorithm-Long Short-Term Memory (HCDA-LSTM) is presented in this research. The Canadian Institute of Cybersecurity Intrusion Detection system (CICIDS) 2017 dataset is initially used to collect the data. Consequently, the proposed HCDA-LSTM model significantly reduced the challenges of network security, particularly in relation to SDN. The proposed method enhances SDN security by mitigating DoS/DDoS attacks and improve the performance effectively in results. When compared to the existing models such as Deep Learning Approach for Detecting Controller (DLADSC), Extreme Gradient Boosting (XGBoost) and XRDI the suggested HCDA-LSTM method achieved better performances in terms Accuracy in CICIDS 2017 dataset of 99.92%, Precision of 99.64%, F-measure of 98.89% and recall of 98.65% which is comparatively higher when compared to existing models.

关键词： Accuracy Computational modeling software algorithms Network security Denial-of-service attack Real-time systems software defined networking Computer crime Corner detection Long short term memory

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 << < 48 49 50 51 52 53 54 55 56 57 > >>

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：