检索结果-内蒙古大学图书馆

Experimental Investigation to Utilize Adsorption and Absorption Technique to Reduce CO2 Emissions in Diesel Engine Exhaust Using Amine Solutions

引用

Adsorption Science & Technology 2022年 2022卷

作者： Solomon Jenoris Muthiya L. Natrayan S. Kaliappan Pravin P. Patil B. E. Naveena Joshuva Arockia Dhanraj Mohankumar Subramaniam Prabhu Paramasivam Department of Automobile Engineering Dayananda Sagar College of Engineering Bengaluru 560078 India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai 602105 Tamil Nadu India Department of Mechanical Engineering Velammal Institute of Technology Chennai Tamil Nadu India Department of Mechanical Engineering Graphic Era Deemed to Be University Bell Road Clement Town 248002 Dehradun Uttarakhand India Center for Automation and Robotics (ANRO) Department of Mechanical Engineering Hindustan Institute of Technology and Science Padur Chennai 603103 India Department of Automobile Engineering Kumaraguru College of Technology Coimbatore 641006 India Department of Mechanical Engineering College of Engineering and Technology Mettu University 318 Ethiopia

Due to the increased demand for global transportation needs, a long-range diesel engine is considered an important prime mover to fulfill the transportation demand. The major problem addressed by the diesel engines is it liberates harmful emissions and it also increases global warming. CO2 is considered an important greenhouse gas and it has to be controlled by diesel engines. In this research, extensive experimental work is done to identify a suitable solution to control CO2 emissions. For five different mole concentrations (0.1 to 0.5), three types of amino solutions (L-alanine, L-aspartic acid, and L-arginine) were prepared. By passing diesel exhaust through each solution, CO2 absorption is investigated. For CO2 absorption, an appropriate CO2 control system is built and tested. The tests were carried out in a diesel engine which is a naturally aspirated single-cylinder engine with a water-cooled system. It was possible to obtain an effective CO2 reduction of up to 90%, as well as a simultaneous reduction in HC and CO.

关键词：

来源：评论

学校读者我要写书评

暂无评论

TRIDENT – Technology based impact assessment tool foR sustaInable, transparent Deep sEa miNing exploraTion and exploitation: A project overview

TRIDENT – Technology based impact assessment tool foR susta...

引用

OCEANS

作者： E. Silva D. Viegas A. Martins J. Almeida C. Almeida B. Neves P. Madureira A.J. Wheeler G. Salavasidis A. Phillips A. Schaap B. Murton A. Berry A. Weir G. Dooly E. Omerdic D. Toal P.C. Collins M. Miranda C. Petrioli C. Barrera Rodríguez D. Demoor C. Drouet G.El Serafy S.M. Jesus J. Dañobeitia V. Tegas S. Cusi L. Lopes B. Bodo L. Beguery S. VanDam J. Dumortier L. Neves V. Srivastava T.G. Dahlgren J. Thomassen Hestetun R. Eiras R. Caldeira C. Rossi J. Spearman L. Somoza F.J. González R. Bartolomé P. Bahurel INESC TEC Porto Portugal Instituto Superior Engenharia do Porto ISEP Portugal Portuguese Task Group for the Extension of the Continental Shelf EMEPC Portugal Department of Geosciences and Institute of Earth Sciences University of Évora Portugal SFI Centre for Research in Applied Geosciences School of Biological Earth & Environmental Sciences University College Cork Ireland Marine Autonomous and Robotic Systems National Oceanography Centre NOC United Kingdom Ocean Technology and Engineering NOC United Kingdom Ocean BioGeosciences NOC United Kingdom Marine Institute Ireland University of Limerick Centre for Robotics & Intelligent Systems CRIS Ireland School of Biological Science Queen’s University Belfast Northern Ireland Instituto Português do Mar e Atmosfera IPMA Portugal WSENSE Italy Head of Vehicle Base VIMAS Consortium for the Design Equipping and Exploitation of the Oceanic Platform of the Canary Islands Spain GREENOV-ITES France Unit of Coastal and Sea Systems Stichting Deltares& TU Delft The Netherlands LARSys University of Algarve Portugal EMSO-ERIC Italy Marine Technology Unit UTM-CSIC Spain La Palma Research Centre Spain Alseamar France Agora Partners Malha Technology Israel Timelex Belgium Gesi Belgium NORCE Norwegian Research Centre Norway Forum Oceano UPTEC POLO DO MAR Portugal ARDITI Portugal Center for Automation and Robotics UPM-CSIC Universidad Politécnica de Madrid Spain HRWallingford United Kingdom Geological Survey of Spain Marine Geology Resources and Extreme Environments IGME-CSIC Spain Institute for Marine Science ICM-CSIC Spain Mercator Ocean France

By creating a dependable, transparent, and cost-effective system for forecasting and ongoing environmental impact monitoring of exploration and exploitation activities in the deep sea, TRIDENT seeks to contribute to the sustainable exploitation of seabed mineral resources. In order to operate autonomously in remote locations under harsh conditions and send real-time data to authorities in charge of granting licenses and providing oversight, this system will create and integrate new technology and innovative solutions. The efficient monitoring and inspection system that will be created will abide by national and international legal frameworks. At the sea surface, mid-water, and the bottom, TRIDENT will identify all pertinent physical, chemical, geological, and biological characteristics that must be monitored. It will also look for data gaps and suggest procedures for addressing them. These are crucial actions to take in order to produce accurate indicators of excellent environmental status, statistically robust environmental baselines, and thresholds for significant impact, allowing for the standardization of methods and tools. In order to monitor environmental parameters on mining and reference areas at representative spatial and temporal scales, the project consortium will thereafter develop and test an integrated system of stationary and mobile observatory platforms outfitted with the most recent automatic sensors and samplers. The system will incorporate high-capacity data processing pipelines able to gather, transmit, process, and display monitoring data in close to real-time to facilitate prompt actions for preventing major harm to the environment. Last but not least, it will offer systemic and technological solutions for predicting probable impacts of applying the developed monitoring and mitigation techniques.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance and exergy analysis of an inclined solar still with baffle arrangements

引用

Heliyon 2023年第4期9卷 e14807页

作者： S Seralathan G Chenna Reddy S Sathish A Muthuram Joshuva Arockia Dhanraj Natrayan Lakshmaiya Karthikeyan Velmurugan Chatchai Sirisamphanwong Rattapon Ngoenmeesri Chattariya Sirisamphanwong School of Aeronautical Sciences Hindustan Institute of Technology and Science Chennai 603103 Tamil Nadu India. Department of Mechanical Engineering Hindustan Institute of Technology and Science Chennai 603103 Tamil Nadu India. Centre for Automation & Robotics (ANRO) Department of Mechatronics Engineering Hindustan Institute of Technology and Science Chennai 603103 Tamil Nadu India. Department of Mechanical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India. Center for Alternative Energy Research and Development Khon Kaen University Thailand. Mechanical Engineering Division Faculty of Engineering Khon Kaen University Khon Kaen Thailand. Smart Energy System Integration Research Unit Department of Physics Faculty of Science Naresuan University Thailand. Research and Academic Service Faculty of Science Naresuan University Thailand. Department of Physics and General Science Faculty of Science Nakhon Sawan Rajabhat University Thailand.

This study presents the details of performance and exergy investigations on an inclined solar still with baffle arrangements. The shortage of consumable water creates the transformation of accessible brackish water into consumable water an unavoidable one and this can be accomplished utilizing sun-oriented refining. To remove drinkable water from pungent water, sun-oriented still is broadly utilized. To build the contact season of the pungent water with sunlight-based brilliance, perplex course of action is set to expand the opposition in the stream. This prompts more vanishing of brackish water. Therefore, the objective of this study is to improve freshwater yield. The experimental study is performed for two different mass flow rates (m = 0.0833 kg/min and m = 0.166 kg/min). An increase in the mass flow of water directly deteriorates the yield of fresh water. Highest accumulated freshwater yield is achieved as 2.908 kg/m day during the month of May for m = 0.0833 kg/min. The accumulated freshwater yield improved by 4.23% in comparison with inclined solar still designs. Moreover, the yield is better by 3.49%-61.56% in comparison with various solar still designs. Using RSM, a polynomial statistical model is specified to estimate as well as maximize the freshwater yield of ISSB. The exergy analysis for m = 0.0833 kg/min shows a maximum hourly exergy efficiency of 6.82%.

关键词： Baffle arrangements Exergy efficiency Inclined solar still Performance yield

来源：评论

学校读者我要写书评

暂无评论

Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis

引用

Heliyon 2025年第12期11卷

作者： Francisco Carrillo-Perez Octavio Caba Cristina Jiménez-Luna Francisco Ortuño Daniel Castillo-Secilla Luis Javier Herrera Jose Prados Ignacio Rojas Stanford Center for Biomedical Informatics Research (BMIR) Stanford University School of Medicine Stanford 94305-547 CA USA Institute of Biopathology and Regenerative Medicine (IBIMER) University of Granada Granada 18016 Granada Spain Biosanitary Institute of Granada (ibs.GRANADA) ibs.GRANADA Granada 18014 Granada Spain Department of Anatomy and Embryology Faculty of Medicine University of Granada Granada 18071 Granada Spain Department of Computer Engineering Automation and Robotics University of Granada Granada 18014 Granada Spain Computational Medicine Platform Andalusian Public Foundation Progress and Health-FPS Sevilla 41014 Sevilla Spain CoE Data Intelligence Fujitsu Technology Solutions S.A Madrid 28224 Madrid Spain

Pancreatic ductal adenocarcinoma (PDAC) is associated with a poor prognosis, primarily due to late-stage detection. This underscores the critical need for informative biomarkers enabling earlier diagnosis and improved patient outcomes. This study leveraged machine learning techniques to identify a biologically relevant gene signature for accurately differentiating PDAC, chronic pancreatitis (CP), and healthy controls using blood-based RNA sequencing data. We analyzed two distinct datasets: extracellular vesicle long RNA (exLR) and peripheral blood mononuclear cell (PBMC) RNA-Seq. Feature selection using the minimum Redundancy Maximum Relevance (mRMR) algorithm, followed by support vector machine (SVM) classification, identified a 15-gene signature derived from the exLR data. This signature successfully classified PDAC, CP, and healthy controls in both the exLR and PBMC datasets, achieving an F1-score of approximately 80 %. Further refinement yielded a 6-gene subset with established biological relevance to PDAC, which maintained strong classification performance (F1-score: 71.0 % in Leave-One-Out cross-validation). This study proposes a promising, biologically relevant gene signature derived from blood samples for the accurate, non-invasive differentiation of PDAC and CP, potentially facilitating earlier diagnosis and improving patient prognosis.

关键词： Machine learning Pancreatic ductal adenocarcinoma Chronic pancreatitis Peripheral blood mononuclear cells Clinical decision support systems Transcriptomics

来源：评论

学校读者我要写书评

暂无评论

Roadmap on soft robotics: multifunctionality, adaptability and growth without borders

引用

Multifunctional Materials 2022年第3期5卷 032001-032001页

作者： Mazzolai, Barbara Mondini, Alessio Del Dottore, Emanuela Margheri, Laura Carpi, Federico Suzumori, Koichi Cianchetti, Matteo Speck, Thomas Smoukov, Stoyan K. Burgert, Ingo Keplinger, Tobias Siqueira, Gilberto De Freitas Vanneste, Felix Goury, Olivier Duriez, Christian Nanayakkara, Thrishantha Vanderborght, Bram Brancart, Joost Terryn, Seppe Rich, Steven I. Liu, Ruiyuan Fukuda, Kenjiro Someya, Takao Calisti, Marcello Laschi, Cecilia Sun, Wenguang Wang, Gang Wen, Li Baines, Robert Patiballa, Sree Kalyan Kramer-Bottiglio, Rebecca Rus, Daniela Fischer, Peer Simmel, Friedrich C Lendlein, Andreas Bioinspired Soft Robotics Laboratory Istituto Italiano di Tecnologia Italy Department of Industrial Engineering University of Florence Via di S. Marta 3 Florence50139 Italy Department of Mechanical Engineering Tokyo Institute of Technology Ookayama Meguro Tokyo152-8550 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Pisa56025 Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa56025 Italy Plant Biomechanics Group & Botanic Garden and Cluster of Excellence livMatS @ FIT University of Freiburg Germany Active and Intelligent Materials Laboratory Queen Mary University of London LondonE1 4NS United Kingdom Wood Materials Science Institute for Building Materials ETH Zurich Zurich8093 Switzerland Cellulose and Wood Materials Laboratory Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf8600 Switzerland University of Lille Inria CNRS Centrale Lille UMR 9189 CRIStAL LilleF-59000 France Dyson School of Design Engineering Imperial College London United Kingdom Vrije Universiteit Brussel and imec Brussels Belgium Thin-Film Device Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Emergent Matter Science RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Electrical and Electronic Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Italy Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom Department of Mechanical Engineering National University of Singapore Singapore School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States CSAIL MIT Schwarzman College of Computing United States Max Planck Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart70569 Germany Institute of Physical Chemistry

Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. © 2022 The Author(s). Published by IOP Publishing Ltd.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Active disturbance rejection control design with suppression of sensor noise effects in application to DC-DC buck power converter

arXiv

引用

arXiv 2020年

作者： Lakomy, Krzysztof Madonski, Rafal Dai, Bin Yang, Jun Kicki, Piotr Ansari, Maral Li, Shihua The Poznaá Universitńy of Technology Poznan60-965 Poland The Energy Electricity Research Center International Energy College Jinan University Zhuhai519070 China The School of Automation Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210096 China The Institute of Robotics and Machine Intelligence Poznań University of Technology Poznań60-965 Poland The Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW2007 Australia

The performance of active disturbance rejection control (ADRC) algorithms can be limited in practice by high-frequency measurement noise. In this work, this problem is addressed by transforming the high-gain extended state observer (ESO), which is the inherent element of ADRC, into a new cascade observer structure. Set of experiments, performed on a DC-DC buck power converter system, show that the new cascade ESO design, compared to the conventional approach, effectively suppresses the detrimental effect of sensor noise over-amplification while increasing the estimation/control performance. The proposed design is also analyzed with a low-pass filter at the converter output, which is a common technique for reducing measurement noise in industrial applications. Copyright © 2020, The Authors. All rights reserved.

关键词： Spurious signal noise

来源：评论

学校读者我要写书评

暂无评论

Distributed online optimization with long-term constraints

arXiv

引用

arXiv 2019年

作者： Yuan, Deming Proutiere, Alexandre Shi, Guodong School of Automation Nanjing University of Science and Technology Nanjing210094 China Department of Automatic Control Kth Royal Institute of Technology Stockholm100-44 Sweden Australian Center for Field Robotics School of Aerospace Mechanical and Mechatronic Engineering University of Sydney SydneyNSW2006 Australia

We consider distributed online convex optimization problems, where the distributed system consists of various computing units connected through a time-varying communication graph. In each time step, each computing unit selects a constrained vector, experiences a loss equal to an arbitrary convex function evaluated at this vector, and may communicate to its neighbors in the graph. The objective is to minimize the system-wide loss accumulated over time. We propose a decentralized algorithm with regret and cumulative constraint violation in O(Tmax{c,1-c}) and O(T1-c/2), respectively, for any c ∈ (0, 1), where T is the time horizon. When the loss functions are strongly convex, we establish improved regret and constraint violation upper bounds in O(log(T)) and O(√T log(T)). These regret scalings match those obtained by state-of-the-art algorithms and fundamental limits in the corresponding centralized online optimization problem (for both convex and strongly convex loss functions). In the case of bandit feedback, the proposed algorithms achieve a regret and constraint violation in O(Tmax{c,1-c/3}) and O(T1-c/2) for any c ∈ (0, 1). We numerically illustrate the performance of our algorithms for the particular case of distributed online regularized linear regression problems. Copyright © 2019, The Authors. All rights reserved.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system

引用

Science China(Information Sciences) 2017年第4期60卷 113-123页

作者： Kui FU Guangqiong ZHAO Xiajing LI Zhong-Liang TANG Wei HE Center for Robotics University of Electronic Science and Technology of China School of Mathematical Sciences University of Electronic Science and Technology of China School of Automation University of Electronic Science and Technology of China School of Automation and Electrical Engineering University of Science and Technology Beijing

We propose an improved Unscented Particle Filter(UPF) algorithm for the Celestial Navigation System/Redshift(CNS/Redshift) integrated navigation system. The algorithm adopts the iterated spherical simplex unscented transformation rather than the traditional unscented transformation. The navigation performance of the proposed algorithm is assessed by several indexes. Simulation results show that the proposed UPF algorithm has advantages over the traditional UPF algorithm in terms of computation burden, navigation accuracy, and numerical stability.

关键词： CNS/Redshift navigation system UPF spherical simplex iteration

来源：评论

学校读者我要写书评

暂无评论

Distributed online linear regression

arXiv

引用

arXiv 2019年

作者： Yuan, Deming Proutiere, Alexandre Shi, Guodong Research School of Engineering Australian National University CanberraACT0200 Australia School of Automation Nanjing University of Science and Technology Nanjing210094 China Department of Automatic Control KTH Royal Institute of Technology Stockholm100-44 Sweden Australian Center for Field Robotics School of Aerospace Mechanical and Mechatronic Engineering University of Sydney SydneyNSW2006 Australia

We study online linear regression problems in a distributed setting, where the data is spread over a network. In each round, each network node proposes a linear predictor, with the objective of fitting the network-wide data. It then updates its predictor for the next round according to the received local feedback and information received from neighboring nodes. The predictions made at a given node are assessed through the notion of regret, defined as the difference between their cumulative networkwide square errors and those of the best off-line network-wide linear predictor. Various scenarios are investigated, depending on the nature of the local feedback (full information or bandit feedback), on the set of available predictors (the decision set), and the way data is generated (by an oblivious or adaptive adversary). We propose simple and natural distributed regression algorithms, involving, at each node and in each round, a local gradient descent step and a communication and averaging step where nodes aim at aligning their predictors to those of their neighbors. We establish regret upper bounds typically in O(T 3/4) when the decision set is unbounded and in O(√T) in case of bounded decision set. Copyright © 2019, The Authors. All rights reserved.

关键词： Gradient methods

来源：评论

学校读者我要写书评

暂无评论

Boundary Vibration Control of a Variable Length Crane System in Two Dimensional Space with Output Constraints

引用

IFAC-PapersOnLine 2017年第1期50卷 11996-12001页

作者： He, Xiuyu Shi, Jing He, Wei Sun, Changyin School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Center for Robotics and School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Automation Southeast University Nanjing210096 China

In this paper, a hoisting cable with varying length under the external disturbances is investigated. The dynamical modeling for cable system takes into account variable length, variable tension and variable speed. The coupled vibrations of the cable in the longitudinal-transverse directions are suppressed by the designed control inputs acted on the boundary of the cable. Considering the output constraint problems, a barrier Lyapunov function (BLF)-based control is proposed to generate novel boundary control algorithms which reduce the undesirable vibrations of the flexible crane system and to prove the boundedness of the states. Effectiveness and performance of the proposed control schemes are depicted via several simulation examples. © 2017

关键词： Longitudinal control Cables Cranes Lyapunov functions Vibration control Barrier lyapunov functions Boundary controls Constraint problems Coupled vibrations Crane systems External disturbances Two dimensional spaces Variable length

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：