检索结果-内蒙古大学图书馆

Research on NOx emission of coal-fired unit based on multi-model clustering ensemble

International Journal of Simulation and Process Modelling 2020年第1-2期15卷 30-39页

作者： Zhen, Chenggang Liu, Huaiyuan Hao, Hanyong School of Control and Computer Engineering North China Electric Power University Baoding071000 China State Grid Corporation of China Beijing100031 China

The predictive control of NOx emission generated by coal-fired units has an important impact on economic benefits of power station and control of environmental pollution. In order to enhance the accuracy of prediction model, a modelling method of boiler NOx emission based on voting multi-model soft clustering ensemble (VMSC) is proposed. The data space is divided into three sub-space according to the level of NOx emission, and the variables that participate in clustering are determined by using variable weight based on relevant analysis and hierarchical clustering utilised information entropy. The proposed algorithm VMSC is used to obtain new membership degree matrix of each sub-space. The multiple least squares support vector machine (LSSVM) models of each subspace are compromised by the least-squares method fused membership degree. The simulation results show that the VMSC algorithm which merges soft fuzzy C-means clustering (SFCM) and genetic algorithm-soft fuzzy C-means clustering (GA-SFCM) improve the accuracy of clustering, and the simulation performance is better than other selected models. The integrated model VMSC-LSSVM can achieve accurate prediction for NOx emission of utility boiler and effectively solve the problem that the model used single method to modelling is weak generalisation. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Research on positioning algorithm of binocular camera based on multi-media 2021

Research on positioning algorithm of binocular camera based ...

引用

2nd International Conference on Computing and Data Science, CONF-CDS 2021

作者： Xiong, Qianghua Yang, Lei Chen, Qingqiang Dongguan University of Technology School of Computer Science and Technology Dongguan China Dongguan University of Technology School of Electronic Engineering and Intelligence Dongguan China School of Mechatronics and Control Engineering Shenzhen University Dongguan University of Technology Dongguan China

ISBN: (纸本)9781450389570

With the development of computer technology, image processing technology has become an increasing number of mature. However, the accuracy of target positioning has not reached the expectation in the case of multi-medium. Based on the binocular positioning algorithm, Aiming at the binocular positioning algorithm, this paper proposes a multi-medium binocular positioning algorithm. First, from the calibration of the camera, the internal parameters of the camera is obtained and the distortion caused by the camera is removed, and the picture is corrected. Secondly, the position of the target is detected by the YOLOv4 algorithm and the pixels of the target in the picture is obtained. Finally, through the binocular vision algorithm, camera imaging principle and the propagation characteristics of light on the interface of different medium, the spatial position of the target in the world coordinate system is obtained. © 2021 ACM.

关键词： Binoculars

来源：评论

学校读者我要写书评

暂无评论

On the conceptualization of total disturbance and its profound implications

引用

Science China(Information Sciences) 2020年第2期63卷 221-223页

作者： Sen CHEN Wenyan BAI Yu HU Yi HUANG Zhiqiang GAO Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Aerospace Automatic Control Institute Center for Advanced Control Technologies Department of Electrical Engineering and Computer ScienceCleveland State University

Dear editor,How to deal with uncertainties and/or disturbances is a central issue pushing the development of both control science and control technology. Among various approaches, the active disturbance rejection control (ADRC) has been successfully implemented in various industrial practices because of its uniqueness in concepts, simplicity

关键词： ESO On the conceptualization of total disturbance and its profound implications

来源：评论

学校读者我要写书评

暂无评论

lncRNA-Disease Association Prediction Based On Weight Matrix And Projection Score

Research Square

引用

Research Square 2021年

作者： Wang, Bo Zhang, Chao Du, Xiao-Xin Zhang, Jian-Fei College of Computer and Control Engineering Qiqihar University Qiqihar161006 China

Background: with the development of medical science, lncRNA, originally considered as a noise gene, has been found to participate in a variety of biological activities. Nowadays, more and more studies show that lncRNA is involved in various human diseases, such as gastric cancer, prostate cancer, lung cancer, etc. However, obtaining lncRNA-disease association only through biological experiments not only costs manpower and material resources, but also gains little. Therefore, it is very important to develop effective computational models for predicting lncRNA-disease association. Results: In this paper, a new lncRNA-disease association prediction model LDAP-WMPS based on weight distribution and projection score is proposed. Based on the existing research results of disease semantic similarity, the integrated lncRNA similarity matrix and the integrated disease similarity matrix are calculated according to the disease semantic similarity and the association information between data. On this basis, the weight algorithm is combined with the improved projection algorithm to predict the lncRNA-disease association through the known lncRNA-miRNA association and miRNA-disease association. The simulation results show that under the loocv framework, the AUC of LDAP-WMPS can reach 0.8822. Better than the latest results. Through the case study of adenocarcinoma and colorectal cancer, it is proved that LDAP-WMPS can effectively infer lncRNA-disease association. Conclusions: The simulation results show that LDAP-WMPS has good prediction performance, which is an important supplement to the research of lncRNA-disease association prediction without lncRNA-disease association data. © 2021, CC BY.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

A Study and Improvement of Project Progress Evaluation Methods Based on the Microservice-Driven Post-Evaluation Framework for Technology Projects 23

A Study and Improvement of Project Progress Evaluation Metho...

引用

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management

作者： Xiaoxin Gao Yongqing Liu Ming Sun Jiyuan He Meng Jia Ying Zhang Beijing China-Power Information Technology Co. Ltd. China State Grid Information & Telecommunication Group Co. Ltd. China School of Control and Computer Engineering North China Electric Power University China

ISBN: (纸本)9798400716669

In electric power industry, the lack of post-evaluation system for science and technology projects leads to problems such as incomplete evaluation, lack of scientific basis, missing improvement opportunities and lowering decision-making level. Therefore, the establishment of the post-evaluation system of science and technology projects is very important to improve the level of science and technology and promote the development of the industry. This paper proposes a post-evaluation system for science and technology projects based on micro-service architecture, which adopts the separation mode of front and back end to evaluate and analyze the science and technology projects of State Grid. Through modular micro-service architecture and unified interface standard, the system realizes five modules: science and technology project data management, index system establishment, project classification, index evaluation and expert evaluation. The system can comprehensively evaluate the effectiveness and quality of scientific and technological projects, present the results in an easy-to-understand manner, provide scientific basis, and improve the level of decision-making. At the same time, we will systematically promote scientific project structure, improve fund utilization, measure project quality and promote low-carbon development. This study provides important guidance and support for the technological development of electric power enterprises.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Advancing Offshore Operations with Digital Twin Technology: A Case Study of FLNG Operations in Offshore Environments

Advancing Offshore Operations with Digital Twin Technology: ...

引用

IEEE Conference on Cybernetics and Intelligent Systems

作者： Siqi Zhang Xiaoling Liang Ruihang Ji Wanyue Jiang Shuzhi Sam Ge University of Toronto and National University of Singapore National University of Singapore Toronto Canada Electrical and Computer Engineering Department National University of Singapore Singapore Institute for Future and Shandong Key Laboratory of Industrial Control Technology Qingdao University Qingdao China

ISBN: (数字)9798350364194

ISBN: (纸本)9798350364200

This paper delineates a meticulous case study centered on the deployment of digital twin technology in Unity3D to augment operations in offshore environments, with a particular emphasis on Floating Liquefied Natural Gas operations. It encompasses the integration of real-time meteorological data, the application of a Proportional-Integral-Derivative controller for refined vessel maneuvering, and the incorporation of an advanced voice navigation interface. The primary objective of this research is to substantially elevate the controllability, predictability, and operational efficacy within the realm of offshore asset management. The findings of this study significantly contribute to the enhancement of strategic decision-making frameworks and propel forward-looking innovations in the offshore sector, culminating in heightened operational efficiency and fortified risk management strategies.

关键词： Technological innovation PI control Navigation Real-time systems Digital twins Liquefied natural gas Asset management

来源：评论

学校读者我要写书评

暂无评论

Visual Tracking Nonlinear Model Predictive control Method for Autonomous Wind Turbine Inspection

Visual Tracking Nonlinear Model Predictive Control Method fo...

引用

International Conference on Advanced Robotics (ICAR)

作者： Abdelhakim Amer Mohit Mehndiratta Jonas le Fevre Sejersen Huy Xuan Pham Erdal Kayacan Department of Electrical and Computer Engineering Artificial Intelligence in Robotics Laboratory (AiR Lab) Aarhus University Aarhus C Denmark GIM Robotics Espoo Finland Department of Electrical Engineering and Information Technology Automatic Control Group Paderborn University Paderborn Germany

Automated visual inspection of on- and off-shorewind turbines using aerial robots provides several benefits, namely, a safe working environment by circumventing the need for workers to be suspended high above the ground, reduced inspection time, preventive maintenance, and access to hard-to-reach areas. A novel nonlinear model predictive control (NMPC) framework alongside a global wind turbine path planner is proposed to achieve distance-optimal coverage for wind turbine inspection. Unlike traditional MPC formulations, visual tracking NMPC (VT-NMPC) is designed to track an inspection surface, instead of a position and heading trajectory, thereby circumventing the need to provide an accurate predefined trajectory for the drone. An additional capability of the proposed VT-NMPC method is that by incorporating inspection requirements as visual tracking costs to minimize, it naturally achieves the inspection task successfully while respecting the physical constraints of the drone. Multiple simulation runs and real-world tests demonstrate the efficiency and efficacy of the proposed automated inspection framework, which outperforms the traditional MPC designs, by providing full coverage of the target wind turbine blades as well as its robustness to changing wind conditions. The implementation codes 1 1 https://***/open-airlab/VTNMPC-Autonomous-Wind-Turbine-Inspection are open-sourced.

关键词：

来源：评论

学校读者我要写书评

暂无评论

SOC Distribution Synergistic Method for Capacity Configuration of Flywheel Energy Storage Participating in Primary Frequency Regulation

SSRN

引用

SSRN 2024年

作者： Hong, Feng Wei, Kuanchang Ji, Weiming Hao, Junhong Fang, Fang Liu, Jizhen The State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

Energy storage systems, coupled with power sources, are applied as an important means of frequency modulation support for large-scale grid connection of new energy. Flywheel energy storage systems (FESS) are considered short-term energy storage solutions due to their capacity for rapid and efficient energy storage and release. However, the power output characteristic of flywheels is potentially correlated to the state of charge (SOC) in the process of continuous operation while the SOC distribution would be attributed to the output power and duration of the flywheel. This study theoretically developed analytical correlations between SOC distribution and flywheel dynamic characteristics on statistical performance based on a cross-entropy method under wide range sampling scenarios of SOC. The results demonstrate that various operation states of FESS have a disparity effect on the statistical performance of modules. A SOC management and capacity configuration method considering continuous operation states is proposed, and the results illustrate that the capital expenditure of capacity configuration cuts approximately 8.2% attaining the SOC stability under the homogenous frequency modulation scenario. Therefore, capacity configurations of FESS can effectively compensate for the capital loss caused by detrimental SOC so that the cross-entropy correlation method conducted in series has the capacity advantages. © 2024, The Authors. All rights reserved.

关键词： Flywheels

来源：评论

学校读者我要写书评

暂无评论

Analysis and Forecasting of Temperature Based on Temporal Fusion Transformer Model: A Case Study of Urumqi

Analysis and Forecasting of Temperature Based on Temporal Fu...

引用

Artificial Intelligence and computer engineering (ICAICE), International Conference on

作者： Xinjun Song Haiyang Sun Shiyang Zhan Jin Ran Di Hou School of Traffic and Transportation Engineering Xinjiang University Xinjiang China School of Computer Science and Technology Xinjiang University Xinjiang China Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure Xinjiang University Urumqi China

ISBN: (数字)9798331528911

ISBN: (纸本)9798331528928

Accurate temperature forecasting is important in many fields such as environmental engineering, disaster prevention and monitoring. This study aims to use the TFT model to predict the daily maximum, minimum and average air temperatures in Urumqi city. It was trained and optimized based on the screened and integrated temperature datasets collected from public databases such as CBE Clima, Weather Spark, and NOAA, and the performance of the TFT model in the temperature data was also investigated. Based on the MAE error criterion and the comparison between the predicted and historical true values of temperature in Urumqi city from May 4, 2024 to May 8, 2024, it is found that the TFT model can predict the short-term temperature accurately with less training set training. It is an important research step in the field of temperature analysis and prediction for finding models with better prediction performance, which will also contribute to the related decision making process.

关键词： Training Temperature distribution Analytical models Accuracy Computational modeling Urban areas Predictive models Data models Thin film transistors Forecasting

来源：评论

学校读者我要写书评

暂无评论

DevEval: Evaluating Code Generation in Practical Software Projects

arXiv

引用

arXiv 2024年

作者： Li, Jia Li, Ge Zhao, Yunfei Li, Yongmin Jin, Zhi Zhu, Hao Liu, Huanyu Liu, Kaibo Wang, Lecheng Fang, Zheng Wang, Lanshen Ding, Jiazheng Zhang, Xuanming Dong, Yihong Zhu, Yuqi Gu, Bin Yang, Mengfei Ministry of Education China School of Computer Science Peking University Beijing China Soochow University Taiwan Xidian University China Academy of Military Sciences China Beijing Institute of Control Engineering China China Academy of Space Technology China

How to evaluate Large Language Models (LLMs) in code generation is an open question. Many benchmarks have been proposed but are inconsistent with practical software projects, e.g., unreal program distributions, insufficient dependencies, and small-scale project contexts. Thus, the capabilities of LLMs in practical projects are still unclear. In this paper, we propose a new benchmark named DevEval, aligned with Developers' experiences in practical projects. DevEval is collected through a rigorous pipeline, containing 2,690 samples from 119 practical projects and covering 10 domains. Compared to previous benchmarks, DevEval aligns to practical projects in multiple dimensions, e.g., real program distributions, sufficient dependencies, and enough-scale project contexts. We assess five popular LLMs on DevEval (e.g., gpt-4, gpt-3.5-turbo, CodeLLaMa, and StarCoder) and reveal their actual abilities in code generation. For instance, the highest Pass@1 of gpt-3.5-turbo only is 42 in our experiments. We also discuss the challenges and future directions of code generation in practical projects. We open-source DevEval and hope it can facilitate the development of code generation in practical projects. Copyright © 2024, The Authors. All rights reserved.

关键词： Open systems

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：