检索结果-内蒙古大学图书馆

1st International Conference on Energetics, Civil and Agricultural Engineering, ICECAE 2020

作者： Gaziyeva, R. Ozodov, E. Bozorov, E. Nigmatov, A. Department of Automation and Control of Technology Process Tashkent Institute of Irrigation and Agricultural Mechanization Engineers 39 Koriy-Niyoziy Tashkent100000 Uzbekistan

The high salinity of water negatively affects soil fertility up to yield loss. In regions with high salinity, unorthodox methods and devices are used to lower the level of mineralization. This article discusses the use of an automatic decision-making system for a device to lower the level of mineralization by diffusion mixing. Construction able to filter water to irrigation rates up to 3 grams per liter and extent the operating period of reverse osmosis. The article provides a detailed description algorithm of a program for automatic control of the water purification process based on the Atmega 328 processor. © Published under licence by IOP Publishing Ltd.

关键词： Mineralogy

来源：评论

学校读者我要写书评

暂无评论

Integrating network pharmacology, metabolomics, and gut microbiota analysis to explore the effects of Jinhong tablets on chronic superficial gastritis

arXiv

引用

arXiv 2025年

作者： Xiao, Lihao Zhang, Tingyu Liu, Yun Sutcharitchan, Chayanis Liu, Qingyuan Fan, Xiaoxue Feng, Jian Gao, Huifang Zhang, Tong Li, Shao Institute for TCM-X Department of Automation Tsinghua University Beijing100084 China School of Pharmacy Shanghai University of Traditional Chinese Medicine Shanghai201203 China State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Jiangsu Kanion Pharmaceutical Co.Ltd. Jiangsu Nanjing210000 China

Background: Chronic gastritis (CG) significantly impacts patients' quality of life and can progress to more severe gastric conditions. In China, Traditional Chinese Medicine (TCM) has been widely applied for its holistic efficacy in treating chronic superficial gastritis (CSG), including formulas like Jinhong Tablets (JHT), known for their anti-inflammatory effects. However, the mechanism of action of JHT in treating CSG still require further clarification. Purpose: This study aimed to elucidate the mechanism by which JHT alleviates CSG, integrating network pharmacology, untargeted metabolomics, and gut microbiota analyses. Methods: The CSG rat model was established, and treatment effects were assessed via Hematoxylin and eosin (H&E) staining. Target profiles of JHT’s components and holistic targets of JHT were obtained. Enrichment analyses were performed on holistic targets and a multi-layer biomolecular network of JHT was established. The study also analyzed rat plasma for differential metabolites through untargeted metabolomics and evaluated the diversity and composition of gut microbiota in fecal and cecal contents samples using 16S rRNA sequencing. Results: JHT effectively reduced gastric inflammation in CSG rats. Network pharmacology indicated that diverse metabolic processes including lipid metabolism and nitric oxide metabolism play pivotal roles in the therapeutic effects of JHT on CSG. Metabolomics analysis identified differential metabolites including betaine helping enrich gut microbiota, phospholipids and citrulline indicating the severity of CSG. The pathway enrichment of differential metabolites validated the results of network pharmacology and suggested that the mechanism of action was associated with the gut microbiota. Through gut microbiota analyses, it was discovered that JHT could augment the gut microbiota by enhancing the abundance of betaine. Additionally, JHT was shown to boost the production of short-chain fatty acid (SCFA) by increasing th

关键词： Metabolites

来源：评论

学校读者我要写书评

暂无评论

Streaming-Data-Driven Multi-Objective Optimal Operation for Ammonia-based Integrated Energy Chemical Systems: An Event-Triggered Scheme

Streaming-Data-Driven Multi-Objective Optimal Operation for ...

引用

Chinese control Conference (CCC)

作者： Longyan Li Chao Ning Department of Automation Shanghai Jiao Tong University Shanghai Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

As an important component in the industry sector, the integrated energy chemical system is inescapably responsible for carbon reduction in addition to economic and reliability performance. We propose a novel streaming-data-driven multi-objective optimal operation for ammonia-based integrated energy chemical systems (AIECS). In the day ahead scheduling, a detailed mathematical model for AIECS is presented, upon which a multi-objective optimization considering cost, CO 2 emission and reliability is established. For the intra-day operation, an event-triggered mechanism is firstly developed in the real-time operation of AIECS, and it enables the AIECS to be risk-aware just in time. By monitoring the difference between the predicted state of charge and the capacity limitations of battery, the AIECS identifies whether it is in hazardous regime. Then, the intelligent switch between certainty equivalence model predictive control and online-learning based distributionally robust model predictive control is proposed, such that their respective advantages are leveraged. Case studies demonstrate that the proposed approach guarantees the system safety, and brings good revenue.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Distributionally Robust Mixed-Integer control through Lifted control Policy

引用

IEEE Transactions on Automatic control 2025年

作者： Ma, Xutao Ning, Chao Du, Wenli Shi, Yang Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 3P6 Canada

This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy to this DRMIC problem is computationally formidable for most ambiguity sets. To address the computational challenge, we propose a novel distributionally robust lifted control policy (DR-LCP) method to derive a high-quality approximate solution to this DRMIC problem for a rich class of Wasserstein metric-based ambiguity sets, including the Wasserstein ambiguity set and its variants. In theory, we analyze the asymptotic performance and establish a tight non-asymptotic bound of the proposed method. In numerical experiments, the proposed DR-LCP method empirically demonstrates superior performance compared with existing methods in the literature. ©1963-2012 IEEE.

关键词： Mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Molecular Imprinted Polymer on Optical Fiber Sensor for Ethanol Vapor Biomarker Detection

Molecular Imprinted Polymer on Optical Fiber Sensor for Etha...

引用

IEEE SENSORS

作者： Pannathorn Jitpratak Akhilesh Kumar Pathak Kankan Swargiary Charusluk Viphavakit Department of Biomedical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Mechanical Engineering Center for Smart Structures and Materials Northwestern University Evanston IL USA Faculty of Engineering International School of Engineering (ISE) Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand

An optical fiber sensor with a single mode-multimode-single mode (SMS) structure is proposed to detect ethanol vapor ranging between 100–500 ppm via the evanescent field interaction at the interface between the optical fiber and ethanol vapor. The proposed optical fiber sensor offers real-time and non-invasive monitoring of ethanol vapor, which is one of the biomarkers of diabetes. Molecular imprinted polymer (MIP) is coated at a multimode fiber region, which is considered to be a sensing area, to improve the selectivity of the ethanol biomarker. The sensor works based on wavelength interrogation by detecting the change in wavelength due to the change in vapor concentration. The fabricated sensor has a sensitivity of 0.0013 nm/ppm, which suggests the potential to be used as a monitoring device for breath analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Distributionally Robust Planning of Energy Hub Coupled with Carbon Capture Utilization and Storage Facilities

Data-Driven Distributionally Robust Planning of Energy Hub C...

引用

Chinese control Conference (CCC)

作者： Xutao Ma Chao Ning Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

Toward carbon peaking and carbon neutrality goals in China, a transition from traditional fossil power to renewable energy becomes an imperative need. This paper aims to address the planning problem of a highly renewable-energy penetrated energy hub system, coupled with carbon capture facilities and downstream production processes of hydrogen and methanol, under the uncertainty of renewable power output. To this end, we propose a two-stage distributionally robust optimal planning model, where investment decisions are the first-stage variables and operation variables are determined at the second stage after the realization of uncertainty. In the proposed model, we utilize historical data samples to construct a strengthened ambiguity set that leverages both Wasserstein distance and moment information for a better characterization of renewable generation uncertainty. Moreover, to efficiently solve the proposed planning problem, we develop a simplified affine decision rule method in a general setting with both moment and Wasserstein ambiguity, and then apply it to reformulate the distributionally robust planning problem. The derived reformulation possesses the favorable property that its scale is free from the sample size, thus greatly reducing the computational complexity. Computational results validate the effectiveness of the proposed planning model and the computational efficiency of the solution methodology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Stealthy Attacks on Sampled-Data control and Encryption-Based Countermeasures

引用

IEEE Transactions on Automatic control 2025年

作者： Shang, Jun Li, Yuzhe Chen, Tongwen Tongji University Department of Control Science and Engineering Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai200092 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada

This paper investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are transmitted through dual channels in wireless communication networks. Acknowledging the vulnerability of these transmitted data to cyber threats, we analyze two types of stealthy attacks that compromise either one or both channels. We explicitly present the necessary and sufficient conditions for the existence of stealthy single-channel attacks. To mitigate these security risks, we implement encryption-based countermeasures, including linear time-invariant and periodic encryption methods. We detail sufficient conditions under which these encryption strategies effectively thwart single- and dual-channel stealthy attacks. The effectiveness of these approaches and the theoretical findings are demonstrated through numerical simulations. © 1963-2012 IEEE.

关键词： Cyber attacks

来源：评论

学校读者我要写书评

暂无评论

LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel Attention-Aided U-Net Model for Microscopic Medical Image Segmentation

LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel...

引用

Symposium of Image, Signal processing, and Artificial Vision (STSIVA)

作者： Sanchita Das Gouranga Maity Diptarka Mandal Dmitrii Kaplun Alexander Voznesensky Ram Sarkar Dept. of CSE Jadavpur University Kolkata India Department of Applied Mathematics Defence Instituite of Advanced Technology Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Dept. of Automation and Control Process St. Petersburg Electrotechnical University “LETI” St. Petersburg Russian Federation

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

Microscopic medical image segmentation is essential for detailed cellular-level analysis in computational pathology, offering insights into disease mechanisms. However, this task is particularly challenging due to the high similarity between different cellular classes and variability within each class, especially in densely packed or overlapping cell regions. To this end, we present LEECAU-Net (Latent Entropy-quantized and Efficient Channel Attention-aided U-Net), a U-Net-based model designed to improve segmentation accuracy through a dual-attention mechanism. Built on an Inceptionv4 backbone, LEECAU-Net's encoder integrates Latent Entropy-quantized Channel Attention (LECA) and Efficient Channel Attention (ECA) modules. The ECA module enhances the network's ability to focus on essential channel dependencies, while LECA leverages entropy quantification to prioritize channels rich in information, leading to better differentiation between similar structures. We have tested LEECAU-Net on three challenging publicly available datasets: Triple Negative Breast Cancer (TNBC), Multi-organ Nuclei Segmentation (MoNuSeg), and Cervical Nucleus Segmentation (CNS). Across these datasets, our model achieves higher performance metrics than numerous state-of-the-art approaches reported in the literature. The improved results underscore the effectiveness of LEECAU-Net's architecture in handling the complexity of microscopic medical images, making it a valuable tool for advancing automated cellular analysis in biomedical research. The source code and more results are made available at https://***/Cmatermedicalimageanalysis/LEECAU-Net.

关键词： Image segmentation Accuracy Microscopy Computational modeling Biological system modeling Source coding Computer architecture Entropy Robustness Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised Multiview Fuzzy Broad Learning

SSRN

引用

SSRN 2023年

作者： Xi, Chao Peng, Cheng Fan, Zizhu Liu, Qiang Wang, Hui Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang330013 China Department of Engineering King’s College London London4616 United Kingdom State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning110819 China

Semi-supervised learning models often rely on the restricted assumptions, and can easily suffer from corvariate shift or noise. Few studies have explored the use of fuzzy rule-based methods in the semi-supervised discipline. In this paper, we first build a semi-supervised fuzzy broad learning model called MT-FBLS to address these issues. Further, a trusted multiview semisupervised classification method, termed TMSSC, is proposed by integrating the MT-FBLS with a multiview fusion network to enhance the robustness of the model. Under the Mean-Teacher framework, MT-FBLS involves the Takagi-Sugeno-Kang(TSK) fuzzy model which can effectively deal with imprecision and uncertainty, and broad learning system(BLS) which has strong rule learning ability and high computational efficiency. TMSSC utilizes a trusted mechanism to blend multiple views, so as to enhance its learning ability in the semi-supervised *** on the benchmark datasets demonstrate that the proposed methods have better anti-noise ability, competitive classification accuracy, as well as fast running speed. © 2023, The Authors. All rights reserved.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Incipient Sensor Fault Detection by Directly Monitoring Sliding Window Based Singular Values*

引用

IFAC-PapersOnLine 2022年第6期55卷 637-642页

作者： Wenqing Zhao Hao Luo Qiang Liu Hongquan Ji Nan Sheng College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 P. R. China Department of Control Science and Engineering Harbin Institute of Technology Harbin 150001 P. R. China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 P. R. China

Timely and accurate detection of incipient faults is critical to guarantee the normal operation of industrial processes. Nowadays, complex systems are usually equipped with a large number of sensors, which may be vulnerable to faults due to harsh environments. Statistical process monitoring is commonly used for fault detection purpose. Nevertheless, traditional fault detection methods are not sensitive enough to incipient faults, leading to the occurrence of many missed alarms. In this paper, the incipient fault detection task is achieved by monitoring the changes of sample singular values within a sliding window. Two incipient sensor fault types are considered, i.e. the sensor constant bias fault and sensor precision degradation fault. In addition, the rationale behind this strategy is also theoretically analyzed. Finally, a numerical example and the continuous stirred tank reactor process demonstrate the effectiveness of the proposed method.

关键词： Incipient sensor fault fault detection constant bias precision degradation singular value

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：