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

34,000 篇 会议
631 册 图书
584 篇 期刊文献

馆藏范围

35,211 篇 电子文献
5 种 纸本馆藏

日期分布

学科分类号

15,550 篇 工学
- 9,781 篇 计算机科学与技术...
- 5,974 篇 软件工程
- 2,946 篇 电气工程
- 2,521 篇 控制科学与工程
- 2,147 篇 机械工程
- 1,773 篇 信息与通信工程
- 1,501 篇 电子科学与技术（可...
- 898 篇 材料科学与工程（可...
- 762 篇 动力工程及工程热...
- 681 篇 生物医学工程（可授...
- 670 篇 仪器科学与技术
- 655 篇 力学（可授工学、理...
- 622 篇 生物工程
- 591 篇 土木工程
- 556 篇 化学工程与技术
- 524 篇 建筑学
- 479 篇 交通运输工程
- 352 篇 航空宇航科学与技...
- 339 篇 安全科学与工程
5,955 篇 理学
- 3,427 篇 数学
- 1,696 篇 物理学
- 1,010 篇 系统科学
- 842 篇 统计学（可授理学、...
- 773 篇 生物学
- 605 篇 化学
2,663 篇 管理学
- 2,251 篇 管理科学与工程(可...
- 834 篇 工商管理
- 477 篇 图书情报与档案管...
607 篇 医学
- 469 篇 临床医学
- 345 篇 基础医学(可授医学...
330 篇 经济学
330 篇 法学
238 篇 教育学
188 篇 农学
124 篇 军事学
95 篇 文学
77 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

11,520 篇 computational mo...
5,217 篇 computer simulat...
2,227 篇 analytical model...
2,123 篇 mathematical mod...
1,772 篇 simulation
1,750 篇 computer archite...
1,509 篇 computer science
1,267 篇 solid modeling
1,128 篇 biological syste...
1,045 篇 circuit simulati...
1,011 篇 computer network...
907 篇 application soft...
857 篇 predictive model...
851 篇 hardware
707 篇 integrated circu...
678 篇 modeling
656 篇 testing
608 篇 data models
602 篇 humans
565 篇 load modeling

机构

62 篇 department of el...
46 篇 department of el...
44 篇 department of co...
43 篇 school of comput...
27 篇 school of comput...
27 篇 department of co...
26 篇 school of comput...
19 篇 school of comput...
18 篇 school of automa...
18 篇 department of co...
17 篇 department of el...
17 篇 ibm thomas j. wa...
17 篇 beihang univ sch...
16 篇 school of electr...
16 篇 college of compu...
16 篇 department of el...
16 篇 department of co...
15 篇 shanghai univers...
14 篇 college of compu...
14 篇 department of el...

作者

24 篇 bernady o. apduh...
22 篇 leifsson leifur
22 篇 jun wang
18 篇 wei li
17 篇 ryszard tadeusie...
16 篇 jing zhang
16 篇 li li
15 篇 kang li
15 篇 ming li
15 篇 mengchu zhou
13 篇 bin he
13 篇 jian wang
13 篇 marina l. gavril...
13 篇 b. he
13 篇 dimitrios soudri...
13 篇 marcin korytkows...
12 篇 yong meng teo
12 篇 lei wang
12 篇 zhang lin
12 篇 daming wei

语言

34,683 篇 英文
285 篇 其他
259 篇 中文
20 篇 俄文
2 篇 捷克文
1 篇 法文

检索条件"任意字段=International Conference on Computer Modeling and Simulation"

共 35215 条记录，以下是231-240 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：

Research on Planting Optimisation Strategies Based on 3D Dynamic Matrix Linear Optimisation Algorithm and Monte Carlo simulation

Research on Planting Optimisation Strategies Based on 3D Dyn...

引用

Electronics, Energy Systems and Power Engineering (EESPE), IEEE international conference on

作者： Xiyuan Wu Shuling Xie Tiantian Sun Information Engineering University Zhengzhou China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

The aim of this paper is to investigate the application of three-dimensional dynamic matrix linear optimisation algorithms and Monte Carlo simulation in planting optimisation strategies. In this paper, a series of computer algorithm-based models and strategies are constructed as an example of a crop planting programme optimization problem from 2024 to 2030 in a village. Firstly, a three-dimensional dynamic matrix linear optimization algorithm is used to transform the crop planting problem into a profit-maximising optimization problem. By constructing a multidimensional matrix under the constraints and combining the CBC solver with the Big-M algorithm, the optimal planting plan that meets the requirement of maximum profit is solved. Next, Monte Carlo simulation is used to deal with the uncertainties in crop cultivation by forecasting the expected sales volume, cultivation cost, sales price, etc., and combining with the revised constraints to optimise the cultivation strategy to reduce the potential risks. The whole process is efficiently solved and optimised by computer algorithms on the data and models, and 3D spatial distribution maps and 2D heat maps are shown to visualise the optimal crop planting scenarios for each year. This study provides scientific decision support for optimal allocation of resources in complex systems through advanced algorithmic models, demonstrating the potential of computer technology to be widely applied in agricultural planning and sustainable development.

关键词： Monte Carlo methods Three-dimensional displays Uncertainty Heuristic algorithms Computational modeling Crops Planning Resource management Sustainable development Optimization

来源：评论

学校读者我要写书评

暂无评论

Model-based Verification and Monitoring for Safe and Responsive Robots

Model-based Verification and Monitoring for Safe and Respons...

引用

IEEE international conference on simulation, modeling, and Programming for Autonomous Robots (SIMPAR)

作者： S. Bernagozzi S. Faraci E. Ghiorzi K. Pedemonte A. Ferrando L. Natale A. Tacchella Istituto Italiano di Tecnologia Genova Italia Università di Genova Genova Italia Università di Modena e Reggio Emilia Modena Italia

ISBN: (数字)9798331516857

ISBN: (纸本)9798331516864

Model-based development (MBD) is gaining widespread acceptance as a design technique in robotics. Not only it eases the work of developers and makes software deployment faster than traditional code-based approaches, but it also enables the application of formal methods without the need of specific training for developers. In particular, (off-line) automated verification is known to improve the quality of software and enable early recognition of hard-to-find bugs whereas (on-line) monitoring helps to close the reality-gap by running either on simulators or actual hardware. In this paper we present a comprehensive approach to MBD, verification, and monitoring that enables developers to design robust control software by featuring both off- and on-line checks in a push-button fashion, i.e., one where all the complexity of formal methods is hidden under the hood of the development tools.

关键词： Training Robust control computer bugs Programming Software Hardware Complexity theory Monitoring Autonomous robots

来源：评论

学校读者我要写书评

暂无评论

A Temporal Self-Attention Guided Deep Learning Approach for Prognosis of Remaining Useful Life of Aircraft Turbofan Engines

A Temporal Self-Attention Guided Deep Learning Approach for ...

引用

international conference on Electrical, computer and Communication Engineering (ECCE)

作者： Arupa Barua Ashim Dey Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In the aviation industry, a reliable prognosis of the remaining useful life (RUL) of aircraft engines is a prerequisite for effective predictive maintenance as well as averting critical failures. But the high non-linearity of engine components and operation in complex environments make it more challenging to capture the deterioration behavior and estimate the RUL. To deal with this concern, a deep learning ensemble model with a Temporal Self-Attention Mechanism (TSAM) is presented to estimate the RUL of aircraft turbofan engines effectively. Firstly, the importance of different sensors is evaluated by applying the TSAM method to the raw sensor data. Then Temporal Convolutional Network (TCN) is applied to the weighted sensor data to extract high-dimensional features. Next, a Bi-directional LSTM network is used to acquire the long-term dependencies in the time series. To further improve the performance we used the Bayesian Optimization strategy to optimize the best hyperparameters. Finally, the efficiency of the proposed TSAM-TCN-Bi-LSTM model is verified using the Commercial Modular Aero Propulsion System simulation (C-MAPSS) dataset obtained by NASA and evaluated against other existing methods. The study demonstrates that the presented ensemble model can prominently yield better results than other approaches for estimating the remaining useful life of aircraft turbofan engines.

关键词： Atmospheric modeling Computational modeling Predictive models Sensor phenomena and characterization Bayes methods Aircraft propulsion Aircraft Prognostics and health management Engines Optimization

来源：评论

学校读者我要写书评

暂无评论

Deep Reinforcement Learning of Robotic Manipulation for Whip Targeting

Deep Reinforcement Learning of Robotic Manipulation for Whip...

引用

IEEE international conference on simulation, modeling, and Programming for Autonomous Robots (SIMPAR)

作者： Xiang Bai Junyi Wang Xiaofeng Xiong Evangelos Boukas Applied Mathematics and Computer Science Technical University of Denmark Copenhagen Denmark Automation and Control Group Electrical and Photonics Engineering Technical University of Denmark Copenhagen Denmark SDU Biorobotics Mærsk Mc-Kinney Møller Institute University of Southern Denmark Odense Denmark

ISBN: (数字)9798331516857

ISBN: (纸本)9798331516864

This paper aims at a deep reinforcement learning (DRL) controller for fast (< 1.5s) manipulation of a flexible tool (i.e., whip) to hit a target in 3D space. The controller consists of a DRL algorithm for optimizing joint motions, and a proportional-derivative (PD) mechanism for tracking the optimized motions. Their objective is to minimize the distance between the whip-end-tip and the target. The proposed controller was validated in a 7-DOF robot arm by comparing four DRL algorithms in the physical simulator MuJoCo. It shows that the proximal policy optimization (PPO) outperforms others by obtaining the maximum average reward. Notably, PPO can still effectively interact with the environment under sparse or even unrewarding conditions, making it a robust choice for complex and dynamic tasks. Our work provides preliminary knowledge of DRL applications to fast robotic arm control in flexible object manipulation.

关键词： Three-dimensional displays Target tracking Heuristic algorithms Programming Aerospace electronics Deep reinforcement learning Manipulators Optimization Autonomous robots

来源：评论

学校读者我要写书评

暂无评论

Challenges and Recommendations for Improving Logistic Skills Through simulation-Based Learning Technology

Challenges and Recommendations for Improving Logistic Skills...

引用

Advancement in Data Science, E-learning and Information Systems (ICADEIS), international conference on

作者： Tamsir Hasudungan Sirait Meyliana Yulyani Arifin Budi Yulianto Binus Graduate Program Doctor of Computer Scienceept Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331513320

ISBN: (纸本)9798331513337

simulation-based learning is one of the most powerful tools to support the educational process. This learning offers an opportunity to learn based on experiences that are very similar to real-world environments. In the context of logistics, which can be considered a complex system, significant efforts are required to enhance students' understanding and practical skills. For that reason, simulations are used so that benefits such as skills and knowledge in the field of logistics can be achieved. However, there are currently several challenges in developing simulation-based learning in higher education. These challenges include the need for simulations that are appropriate for the current learning context, where the students are generally from Generation Z, and how to improve their learning quality in the era of Industry 4.0. To address these challenges, more suitable simulations need to be developed, and higher education institutions must carefully examine how to develop them, including identifying the essential components in the development of simulations for logistics learning. In this research, a systematic literature review using the PRISMA method and also creating a conceptual model of simulation that better meets the current needs of logistics education will be proposed. The results of this research can be used as a basis for developing updated simulations to better prepare students for the challenges of Industry 4.0.

关键词： Analytical models Computational modeling Education Prototypes Data models Fourth Industrial Revolution Proposals Logistics Systematic literature review Investment

来源：评论

学校读者我要写书评

暂无评论

Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing

Deep Reinforcement Learning for Delay-Optimized Task Offload...

引用

international CSI computer conference, CSICC

作者： Mohammad Parsa Toopchinezhad Mahmood Ahmadi Computer Engineering and Information Technology Department Razi University Kermanshah Iran

ISBN: (数字)9798331523114

ISBN: (纸本)9798331523121

The imminent rise of Autonomous Vehicles (AVs) is revolutionizing the future of transport. The Vehicular Fog Computing (VFC) paradigm has emerged to alleviate the load of compute-intensive and delay-sensitive AV programs via task of-floading to nearby vehicles. Effective VFC requires an intelligent and dynamic offloading algorithm. As a result, this paper adapts Deep Reinforcement Learning (DRL) for VFC offloading. First, a simulation environment utilizing realistic hardware and task specifications, in addition to a novel vehicular movement model based on grid-planned cities, is created. Afterward, a DRL-based algorithm is trained and tested on the environment with the goal of minimizing global task delay. The DRL model displays impressive results, outperforming other greedy and conventional methods. The findings further demonstrate the effectiveness of the DRL model in minimizing queue congestion, especially when compared to traditional cloud computing methods that struggle to handle the demands of a large fleet of vehicles. This is corroborated by queuing theory, highlighting the self-scalability of the VFC-based DRL approach.

关键词： Training Machine learning algorithms Computational modeling Heuristic algorithms Urban areas Deep reinforcement learning Delays Vehicle dynamics Queueing analysis Edge computing

来源：评论

学校读者我要写书评

暂无评论

Towards a Size-Aware Implicit 2-D Cloth Rendering

Towards a Size-Aware Implicit 2-D Cloth Rendering

引用

IEEE international conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Bastian Scharnagl Christian Groth Hof University of Applied Sciences Hof Germany

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

There is a huge demand for trying on clothing at home. Recent methods to capture your figure mostly work in a 2d image plane and despite recent improvements of available technology the simulation of clothing is still not satisfactory. Especially the rendering of different clothing sizes is still a major challenge, which is only addressed by COTTON [1]. We propose an improvement to this approach by adding more control over the image generation process. For this we employ a special type of conditional diffusion model, namely ControlNet, and take keypoints of the fashion as conditional input.

关键词： Solid modeling Image synthesis Clothing Fitting Process control Virtual reality Rendering (computer graphics) Diffusion models Cotton Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

An Integrated Positioning Method Based on Weighted Factor Graph Optimization

An Integrated Positioning Method Based on Weighted Factor Gr...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Tianjiao Hao Changgeng Li Changshui Liu School of Electronic Information Central South University Changsha China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

The intelligent transportation system requires positioning services to ensure safe driving applications. The fusion positioning method of GNSS and inertial navigation system (INS) provides high-precision location services in environments with good GNSS signal reception. However, in satellite signal denial environments such as tunnels, GNSS signals become weak or interrupted due to obstructions, resulting in a decline in observation quality or even making the signals unavailable, which leads to a sharp deterioration in positioning accuracy. Ground-based navigation system can serve as a supplement and enhancement to GNSS, offering a solution for continuous high-precision positioning both inside and outside tunnels, as well as in enclosed spaces. To address the above issues, this study proposes a weighted factor graph optimization algorithm that integrates inertial navigation and ground-based navigation. Based on the traditional factor graph model, weighted factors are introduced to reduce the impact of outlier observations on positioning results, enhance the model's anti-interference and fault tolerance capabilities, and improve the system's positioning performance. The sliding window optimization method is employed to reduce computational complexity while retaining effective historical data, improving computational speed, and ensuring real-time positioning output. simulation results indicate that, compared with unweighted factor graph positioning schemes, the proposed integrated positioning algorithm improves positioning accuracy by 75.8%, while significantly reducing the computational load of information fusion.

关键词： Global navigation satellite system Accuracy Satellites Computational modeling simulation Optimization methods Inertial navigation Sensor fusion Real-time systems Load modeling

来源：评论

学校读者我要写书评

暂无评论

DATCloud: A Model-Driven Framework for Multi-Layered Data-Intensive Architectures

DATCloud: A Model-Driven Framework for Multi-Layered Data-In...

引用

IEEE international conference on Software Architecture Workshops (ICSAW)

作者： Moamin Abughazala Henry Muccini DISIM Department University of L'Aquila L'Aquila Italy Department of Information Technology An Najah N. University Nablus Palestine

ISBN: (数字)9798331533366

ISBN: (纸本)9798331533373

The complexity of multi-layered, data-intensive systems demands frameworks that ensure flexibility, scalability, and efficiency. DATCloud is a model-driven framework designed to facilitate the modeling, validation, and refinement of multi-layered architectures, addressing scalability, modularity, and real-world requirements. By adhering to ISO/IEC/IEEE 42010 standards, DATCloud leverages structural and behavioral meta-models and graphical domain-specific languages (DSLs) to enhance reusability and stakeholder communication. Initial validation through the VASARI system at the Uffizi Gallery demonstrates a 40% reduction in modeling time and a 32% improvement in flexibility compared to manual methods. While effective, DATCloud is a work in progress, with plans to integrate advanced code generation, simulation tools, and domain-specific extensions to further enhance its capabilities for applications in healthcare, smart cities, and other data-intensive domains.

关键词： Software architecture Smart cities Scalability ISO Standards computer architecture Medical services Manuals Data models Stakeholders Standards

来源：评论

学校读者我要写书评

暂无评论

Research on Higher Education Policy Effect Prediction Based on Multi-Agent simulation Technology

Research on Higher Education Policy Effect Prediction Based ...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Chenglang Lu Xuliang Yang Beibei Wang Dongguan City University Guangdong China Jiaxing Nanhu University Zhejiang China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Higher education policy formulation has long relied on empirical judgment and static data analysis, which is difficult to cope with the dynamic complexity of education ecology in the AI era. This study proposes a policy effect prediction framework based on multi-agent simulation technology, and simulates the multi-agent interaction and system evolution under policy intervention by constructing a higher education ecosystem model including students, teachers, departments, social needs and other agents. Based on the intelligent education practice data of Zhejiang University, Wuhan University and other universities, the policy causal reasoning algorithm is developed to realize the dynamic deduction of major adjustment, enrollment scale regulation and other policies. Compared to traditional expert evaluation methods that exhibit 2.3-year policy lag (MOE 2024 data), our framework reduces trial-and-error costs for discipline adjustments by 64% through digital twin campuses. The research provides interpretable and iterative decision support tools for higher education governance, and helps policy making shift from “post-correction” to “foresight”

关键词： Technological innovation Costs Object oriented modeling Heuristic algorithms Education Reinforcement learning Predictive models Data models Digital twins Digital intelligence

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 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：