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Mine production index(MPI)-extension of OEE for bottleneck detection in mining

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International journal of Mining Science and Technology 2016年第5期26卷 753-760页

作者： amol Arun Lanke Seyed Hadi Hoseinie Behzad Ghodrati Division of Operation and Maintenance Engineering Lule? University of Technology

Although mining production depends on various equipments, significant amount of production loss can be attributed a specific equipment or fleet. Bottleneck is defined not only by production loss but also by our satisfaction from the equipment. The user satisfaction could be measured as machine *** literatures on performance improvement and optimization of equipment operations assert importance of availability, utilization and production performance as key parameters. These three parameters are useful for evaluating effectiveness of equipment. Mine production index(MPI), which can represent the effect of these factors, has been applied for continuous operation in mining. MPI uses Fuzzy Delphi Analytical Hierarchy Process to determine importance of each three parameter for individual equipment. A case study in a Swedish open pit mine was done to evaluate the field application of *** results reveal that crusher is the bottleneck equipment in studied mine. As a methodical approach,an algorithm which uses MPI and detects bottleneck in continuous mining operation has been proposed.

关键词： Mine production index Bottleneck seeking FDAHP Production analysis

Physics-constrained graph modeling for building thermal dynamics

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Energy and AI 2024年第2期16卷 150-157页

作者： Ziyao Yang amol D.Gaidhane ján Drgoňa Vikas Chandan Mahantesh M.Halappanavar Frank Liu Yu Cao School of Electrical Computer and Energy EngineeringArizona State UniversityTempeAZ 85287USA Pacific Northwest National Laboratory RichlandWA 99354USA Oak ridge National Laboratory Oak RidgeTN 37830USA

In this paper,we propose a graph model embedded with compact physical equations for modeling the thermal dynamics of *** principles of heat flow across various components in the building,such as walls and doors,fit the message-passing strategy used by Graph Neural networks(GNNs).The proposed method is to represent the multi-zone building as a graph,in which only zones are considered as nodes,and any heat flow between zones is modeled as an edge based on prior knowledge of the building ***,the thermal dynamics of these components are described by compact models in the *** are further employed to train model parameters from collected *** model training,our proposed method enforces physical constraints(e.g.,zone sizes and connections)on model parameters and propagates the penalty in the loss function of *** constraints are essential to ensure model robustness and *** evaluate the effectiveness of the proposed modeling approach on a realistic dataset with multiple *** results demonstrate a satisfactory accuracy in the prediction of multi-zone ***,we illustrate that the new model can reliably learn hidden physical parameters with incomplete data.

关键词： Physics-constrained learning Graph Neural Networks Compact model Building thermal dynamics

Environment friendly hydrothermal synthesis of carbon–Co3O4 nanorods composite as an efficient catalyst for oxygen evolution reaction

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journal of Energy Chemistry 2017年第4期26卷 695-702页

作者： amol r.j.dhav Harshad A.Bandal Ashif H.Tamboli Hern Kim Department of Energy Science and Technology Smart Living Innovation Technology CenterMyongji UniversityYonginGyeonggi-do 17058Republic of Korea

The design of cost-effective, highly active catalysts for hydrogen energy production is a vital element in the societal pursuit of sustainable energy. Water electrolysis is one of the most convenient processes to produce high purity hydrogen. Cobalt-based catalysts are well-known electrocatalysts for oxygen evolution reaction（OEr）. In this article, all these merits indicate that the present cobalt nanocomposite is a promising electrocatalyst for OEr. C–CoO-nanorods catalyst with nanorod structure was synthesized by hydrothermal treatment of CoCl·6HO/dextrose/urea mixture at 180 °C for 18 h and then calcined at400 °C for 3.5 h. The role of dextrose percentage in solution to achieve the uniform coating of carbon on the surface of CoO-nanorods has been demonstrated. The prepared materials were characterized by X-ray diffraction（XrD）, X-ray photoelectron spectrum（XPS）, field emission scanning electron microscopy（FE-SEM）, high-resolution transmission electron microscopy（Hr-TEM）, and Brunauer–Emmett–Teller instrument（BET）. Due to its unique morphology, the C–CoO-nanorods catalyst exhibited better activity than CoO-microplates catalyst for OEr in 1 M KOH aqueous solution. The results showed a highly efficient, scalable, and low-cost method for developing highly active and stable OEr electrocatalysts in alkaline solution.

关键词： Oxygen evolution reaction Overpotential Tafel slope Synergistic effect

Synthesis of bis(indolyl) methanes using aluminiumoxide(acidic) in dry media

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Chinese Chemical Letters 2010年第1期21卷 39-42页

作者： Sandip A.Sadaphal amol H.Kategaonkar Vilas B.Labade Murlidhar S.Shingare Organic research Laboratory Department of ChemistryDr.Babasaheb Ambedkar Marathwada UniversityAurangabadMS 431001 India

Heterogeneous catalyst aluminium oxide(acidic) is found to be an effective catalyst for the solvent-free condensation reaction of indole with aldehydes in microwave irradiation with shorter reaction time and higher yi... 详细信息

关键词： Aluminium oxide(acidic) Indole Aldehydes Bis(indolyl) methanes Microwave irradiation Dry media

Polyethylene glycol(PEG) mediated expeditious synthetic route to 1,3-oxazine derivatives

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Chinese Chemical Letters 2011年第8期22卷 915-918页

作者： Pravin V.Shinde amol H.Kategaonkar Bapurao B.Shingate Murlidhar S.Shingare Department of Chemistry Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad 431004MaharashtraIndia

Various 1,3-oxazine derivatives were synthesized in high yields,within shorter reaction times using PEG-400 as a safer medium/ *** synthetic route is exceedingly easy and avoids the use of acid/base catalysts.

关键词： Ecofriendly synthetic protocol Green chemistry 1 3-Oxazines Polyethylene glycol(PEG)

Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 805-820页

作者： amol Dattatray Dhaygude Gaurav Kumar Ameta Ihtiram raza Khan Pavitar Parkash Singh renato r.Maaliw III Natrayan Lakshmaiya Mohammad Shabaz Muhammad Attique Khan Hany S.Hussein Hammam Alshazly Department of Data Science University of WashingtonSeattleWashingtonUSA Department of Computer Science&Engineering Parul Institute of TechnologyParul UniversityVadodaraGujaratIndia Department of Computer Science Jamia HamdardDelhiIndia Department of Management Lovely Professional UniversityPhagwaraIndia 5 College of Engineering Southern Luzon State UniversityLucbanQuezonPhilippines Department of Mechanical Engineering Saveetha School of EngineeringSIMATSChennaiTamil NaduIndia Model Institute of Engineering and Technology JammuJ&KIndia Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Electrical Engineering Department College of EngineeringKing Khalid UniversityAbhaSaudi Arabia Electrical Engineering Department Aswan UniversityAswanEgypt Faculty of Computers and Information South Valley UniversityQenaEgypt

Deep learning has recently become a viable approach for classifying Alzheimer's disease(AD)in medical ***,existing models struggle to efficiently extract features from medical images and may squander additional information resources for illness *** address these issues,a deep three‐dimensional convolutional neural network incorporating multi‐task learning and attention mechanisms is *** upgraded primary C3D network is utilised to create rougher low‐level feature *** introduces a new convolution block that focuses on the structural aspects of the magnetOrCID:ic resonance imaging image and another block that extracts attention weights unique to certain pixel positions in the feature map and multiplies them with the feature map ***,several fully connected layers are used to achieve multi‐task learning,generating three outputs,including the primary classification *** other two outputs employ backpropagation during training to improve the primary classification *** findings show that the authors’proposed method outperforms current approaches for classifying AD,achieving enhanced classification accuracy and other in-dicators on the Alzheimer's disease Neuroimaging Initiative *** authors demonstrate promise for future disease classification studies.

关键词： classification deep learning

A catalyst- and solvent-free multicomponent synthesis of 7-azagramine analogues via a Mannich type reaction

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Chinese Chemical Letters 2016年第1期27卷 99-103页

作者： Sakharam B.Dongare Hemant V.Chavan Pravin S.Bhale Yoginath B.Mule amol S.Kotmale Babasaheb P.Bandgar School of Chemical Sciences Solapur University Department of Chemistry A.S.P.College

A catalyst- and solvent-free protocol for the synthesis of 7-azagramine analogues is described via a three-component Mannich type reaction between 7-azaindole, aromatic aldehydes and heterocyclic amines in acceptable to excellent yields. Structures of the compounds were confirmed satisfactorily by ~1H NMr, Ir, mass, TOCSY, HSQC and HMBC spectral analyses.

关键词： Bioisosters 7-Azaindole Mannich reaction Multicomponent reaction

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双极主观等级量表的级别选取

机械设计与研究 2009年第4期25卷 70-72页

作者：乔柱杨国盛 amol Ghorpade Y. Lin 章文俊华东理工大学机械与动力工程学院上海中央民族大学信息工程学院北京 Advanced Engineering Design Laboratory Department of Mechanical Engineering University of Saskatchewan57 Campus Dr. Saskatoon SK S7N 5A9 Canada Department of Mechanical and Industrial Engineering Northeastern University USA

双极等级工具(Bipolar rating instruments)用来测量人们对产品的情感观点。这种方法的常用和典型代表就是分为5,7和9这三种等级级别的等级量表(ratingScales),其中的数字代表了等级级别的数目(例如,‘5’表示总共有5种等级级别)。然而... 详细信息

双极等级工具(Bipolar rating instruments)用来测量人们对产品的情感观点。这种方法的常用和典型代表就是分为5,7和9这三种等级级别的等级量表(ratingScales),其中的数字代表了等级级别的数目(例如,‘5’表示总共有5种等级级别)。然而到目前很少有文献关注等级量表的最佳的级别数目问题。这里对这一问题进行了初步研究,尤其是针对这样的三种等级量表(S5,S7,S9),通过实验来给出了答案;研究表明,由于其高可靠性S最为适合。

关键词：主观等级量表评价双极一致性

聚酯/棉导电织物在产业用纺织品开发中的创新应用

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国际纺织导报 2012年第9期40卷 47-48,50页

作者： amol j.Patil Smita C.Deogaonkar 张慧孟买纺织研究协会(印度)

在聚酯/棉混纺织物上通过2步法成功实施了聚吡咯的原位聚合,所得样品单位面积的表面电阻率在50～2500Ω。该电导率范围适用于很多产业用纺织品领域。扫描电镜显示,聚合物完全覆盖了纤维和纱线间的空隙。耐久性研究发现,水洗会导致电导... 详细信息

在聚酯/棉混纺织物上通过2步法成功实施了聚吡咯的原位聚合,所得样品单位面积的表面电阻率在50～2500Ω。该电导率范围适用于很多产业用纺织品领域。扫描电镜显示,聚合物完全覆盖了纤维和纱线间的空隙。耐久性研究发现,水洗会导致电导率的显著损失。而干洗影响相对较小,电导率损失可相对忽略不计。为了扩展其应用领域,进一步的研究需着重于改善聚吡咯涂层纺织品的耐水洗性。

关键词：聚酯/棉混纺织物吡咯聚合表面电阻率耐久性