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2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Pandey, Ravindra Rongali, Aruna Sri Gopinath, S. Anute, Nilesh Nama, Forda Pund, Sachin Hult International Business School United States University of the Cumberlands Doctoral Information Technology Information Technology Emphasis Information Technology United States Karpagam Institute of Technology Department of Electronics and Communication Engineering Coimbatore India ASM's Institute of Business Management and Research Pune India University of Lampung Doctoral Program of Environtmental Science Department of Informatics Bandar Lampung Indonesia Shri Ramdeobaba College of Engineering and Management Department of Industrial Engineering Maharashtra Nagpur India

ISBN: (纸本)9798350357769

Deep gaining knowledge is a synthetic intelligence approach used to recognize complex facts. It uses many facts to recognize the complicated relationships between various factors. With deep learning, models can be built which might be capable of understanding the complicated patterns within big datasets. In this paper, we can explore using deep mastering in regression and type tasks on large datasets. In particular, we can use deep learning strategies to build a regression model that predicts a target value primarily based on the functions in a massive dataset and a classification version that can classify an object into one of the many classes of an extensive dataset. We can then discuss the overall performance of the fashions in comparison to standard models and talk about capability areas for development. Moreover, we will analyze the scalability of deep mastering strategies used on large datasets and discuss exceptional practices for building deep mastering fashions on massive datasets. Finally, we will summarize our findings and offer our conclusions approximately the use of deep studying in regression and type obligations on large datasets. © 2023 IEEE.

关键词： approximately gaining knowledge mastering performance regression

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The Effect of Road Network and the Freight Transport Operation to the Development of the Region and Welfare of the Society in Langkat Regency 2

The Effect of Road Network and the Freight Transport Operati...

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2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

作者： Tarigan, Harimin Rahim Matondang, A. Lubis, Suwardi Sirojuzilam Doctoral Program in Regional Planning Universitas Sumatera Utara Medan Indonesia Department of Industrial Engineering Universitas Sumatera Utara Medan Indonesia Department of Communication Science Universitas Sumatera Utara Medan Indonesia Department of Development Economics Universitas Sumatera Utara Medan Indonesia

This study aims to determine the effect of the road network and the implementation of freight transportation on regional development and the community welfare in Langkat Regency. This type of research is associative and explanatory research whose data are obtained through surveys. The study population was drivers of motor vehicles transporting goods in Langkat Regency. The number of samples is 305 respondents by means of probability sampling and data analysis techniques using Structural Equation Modelling (SEM). The results showed that the road network variables did not significantly influence the community welfare, but the road network had a significant and positive effect on the community welfare through the development of the Langkat Regency. The implementation of freight transportation has a significant and positive effect on the community welfare partially, directly and through the development of the Langkat Regency. Regional development has a significant and positive effect on the community welfare of Langkat Regency. © Published under licence by IOP Publishing Ltd.

关键词： Freight transportation

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Unbalance Fault Diagnosis in Electric Motors under Non-Stationary Load Conditions: An Iterative Filter Decomposition Approach 8

Unbalance Fault Diagnosis in Electric Motors under Non-Stati...

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8th International Conference on Instrumentation, Control, and Automation, ICA 2023

作者： Rosyadi, Imron Nazaruddin, Yul Yunazwin Siregar, Parsaulian Ishaya Institut Teknologi Bandung Doctoral Program of Engineering Physics Faculty of Industrial Technology Bandung Indonesia Universitas Jenderal Soedirman Electrical Engineering Department Purwokerto Indonesia Institut Teknologi Bandung Instrumentation and Control Research Group Department of Engineering Physics Bandung Indonesia Institut Teknologi Bandung National Center for Sustainable Transporation Technology Bandung Indonesia

ISBN: (纸本)9798350301274

In electric vehicles, the dynamic nature of driving conditions, speed variations, and fluctuations in loads introduce non-stationary loads on electric motors. These non-uniform load distributions can result in mechanical imbalance faults within the motor, leading to increased vibrations, reduced motor performance, and potential mechanical stress on its components. The development of advanced diagnostic methods is crucial for detecting and addressing these mechanical balance faults in electric motors. This article introduces a novel approach for diagnosing mechanical unbalance faults using local iterative filter decomposition, specifically designed for electric motors operating under non-stationary load conditions. The experimental results demonstrate that the application of iterative filter decomposition yields superior outcomes compared to the absence of decomposition. By employing this method, the algorithm achieves a classification accuracy exceeding 80% for all types of unbalances, including the detection of low-speed rotation unbalance faults, which are known to be challenging to identify. © 2023 IEEE.

关键词： Failure analysis

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Incorporating model uncertainties and variability in optimization of laminates for predictable failure

Incorporating model uncertainties and variability in optimiz...

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11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

作者： Salas, Pablo Venkataraman, Satchi San Diego State University San Diego CA 92182 Joint Doctoral Program in Engineering Sciences and Applied Mechanics San Diego State University University of California San Diego AIAA Department of Aerospace Engineering and Engineering Mechanics San Diego State University Mail Code 1308 5500 Campanile Drive San Diego CA 92182

ISBN: (纸本)1563478234

Safety and reliability of engineering systems are affected by uncertainties from four sources: (i) inherent variability in the physical variables, (ii) modeling errors, (iii) estimation errors and (iv) human errors. In this paper, we investigate the second source, namely the effect of modeling uncertainties on the predictability and robustness of progressive failure response in composites. Modeling uncertainties exist in the homogenization models used for stiffness calculations, in micromechanics models used for calculating the ply or constituent level stresses, in the phenomenological and mechanistic failure criteria used for predicting failure, and in the models used to degrade ply properties after initial failure. This paper investigates the effects of different modeling uncertainties on the predictability and robustness of progressive failure response for different composite laminate designs. The interaction of model uncertainties with physical variability is also investigated. It is shown that reliability optimization for variability provides designs that have robust energy absorption when analyzed with model uncertainties but do not have a predictable failure sequence. To achieve a predictable failure sequence requires including model uncertainties along with variability in the reliability optimization.

关键词： Laminates

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Removal of total dissolved solids from oil-field-produced water using ceramic adsorbents integrated with reverse osmosis

Removal of total dissolved solids from oil-field-produced wa...

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3rd International Conference on Chemical engineering and Applied Sciences, ICChEAS 2022

作者： Herawati, Netty Hatta Dahlan, Muhammad Yusuf, Maulana Iqbal, Maulid M. Ahmad Roni, Kiagus Nasir, Subriyer Doctoral Engineering Program Faculty of Engineering Universitas Sriwijaya Jl. Srijaya Negara Palembang30139 Indonesia Chemical Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Mining Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Civil Engineering Department Faculty of Engineering Universitas Sriwijaya Jl. Raya-Palembang Prabumulih Ogan Ilir30662 Indonesia Chemical Engineering Study Program Faculty of Engineering Universitas Muhammadiyah Palembang Jl. Jend. A. Yani 13 Ulu Plaju Palembang30137 Indonesia

Total dissolved solids (TDS) consisting of inorganic salts and organic matter are pollutants to the aquatic and water systems for human use. This paper studied the effect of ceramic adsorbent composition on improving the quality of the produced water (PW) by decreasing TDS before entering reverse osmosis (RO). Manufacturing ceramic adsorbents use a mixture of spent catalysts of residues catalytic cracking (RCC) and natural clay in various compositions. Experiments were performed using the PW from one oil and gas company in South Sumatra, Indonesia. The initial characterization of produced water contains total dissolved solids of 14,556 mg/L. The flow rate of PW into the ceramic adsorbent column were varied from 6 to 8 L/min at a contact time of 15 to 120 min. The results showed that ceramic adsorbent A (diameter 10 mm and thickness 10 mm, 70% clay, and 30% RCC) reduced TDS by 74.58%. Adsorbent B (diameter of 20 mm and thickness of 10 mm, 70% RCC and 30% clay) lowers TDS by 56.68% at a flow rate of 6 L/min and a contact time of 60 min. Adsorbent C (diameter of 10 mm and thickness of 10 mm, 30% clay, and 70% RCC) reduced TDS by 59.40% at a flow rate of 6 L/min and a flow time of 60 min. Adsorbent D (diameter of 20 mm, thickness of 10 mm, 30% clay, and 70% RCC) lowers TDS by 54.38% at a flow rate of 6 L/ min and a contact time of 60 min. After being transferred into the adsorption column, their filtrates were sent into the Reverse Osmosis (RO) membrane. The final permeates of RO have TDS values between 1,720 mg/L to 3,930 mg/L that met water standards for oil and gas exploration wastewater in Indonesia. © 2023 Elsevier Ltd. All rights reserved.

关键词： Produced Water

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The Role of Knowledge Management in the Success Rate of it Investment and its Impacts on the Organization Performance A survey in the ministry agencies, local governments, universities and banks in indonesia

The Role of Knowledge Management in the Success Rate of it I...

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International Conference on Science in Information Technology

作者： Donny Maha Putra Dedy Wahyu Winoto Doctoral Program in Accounting University of Padjadjaran Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

Organizations are facing high rates of IT investment failures. Amongst other causes, the inability of managing the organizational knowledge is a major cause of the failure. This study aims to determine the effects of knowledge management towards the success rate of IT investment and its impacts to the organization performance. The number of respondents in this study were 569 which are the IT users in the ministries agencies, local governments, universities and banks. The data were analyzed using the method of Structure Equation Modeling (SEM) with Lisrel 8.8 statistical software. The results indicated that there is a significant effect of knowledge management to IT investment Success which is as much as 66%. Meanwhile, IT investment Success strongly affects the organizations' performance as much as 80%.

关键词： Investment Knowledge management Information technology Standards organizations Companies Software

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Sensing Architecture in Smart City: A Review Paper 10

Sensing Architecture in Smart City: A Review Paper

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Eriyadi, Mindit Supangkat, Suhono Harso Hidayat, Fadhil Doctoral Program of Instiut Teknologi Bandung Bandung Indonesia School of Applied Science Universitas Telkom Bandung Indonesia School of Electrical Engineering and Informatics Instiut Teknologi Bandung Bandung Indonesia Institut Teknologi Bandung Smart City and Community Innovation Center Bandung Indonesia

ISBN: (纸本)9798350339543

Relevant smart city research involves many highly futuristic applications, such as smart transportation, in which smart roads warn drivers of impending traffic jams, smart parking, which communicates the location of available parking spaces to drivers, and smart environments, which allow homes and workplaces to fully automatically adjust their temperature to save energy. Complexity in the city sensing section is caused by the complexity of urban systems. The enormous number of sensor types and technologies utilized for municipal data collecting provide a problem. Some of the issues in city sensing are node deployment, sensing management, sensor network types, and their derivative variables, necessitating the development of a city sensing architecture capable of contributing to advances in efficiency, accuracy, and real-timeness. © 2023 IEEE.

关键词： Internet of things

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The Smart Analysis of Performing Scalable Inference for Big Data Analytics

The Smart Analysis of Performing Scalable Inference for Big ...

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2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Bhandarkar, Vishakha D. Rongali, Aruna Sri Shamout, Mohamed Dawood Pund, Sachin Nama, Gigih Forda Patil, Shrishailappa Yeshwantrao Chavan College of Engineering Applied Mathematics and Humanities India University of the Cumberlands Graduate Doctoral Information Technology Information Technology Emphasis/Information Technology United States College of Business Administration University of Sharjah Department of Management Sharjah United Arab Emirates Shri Ramdeobaba College of Engineering and Management Department of Industrial Engineering Maharashtra Nagpur India Doctoral Program of Environtmental Science University of Lampung Department of Informatics Bandar Lampung Indonesia Vishwakarma Institute of Technology Computer Engineering Pune India

ISBN: (纸本)9798350357769

This paper examines the reproducibility of massive information analytics under particular factors. The paper proposes the 'performing Scalable Inference' technique to cope with scalability troubles and to exploit current big statistics platforms for efficient computing and statistics garage of the statistics. In particular, the paper describes how to perform leak-free, parallelizable visible analytics over massive datasets using present extensive records analytics frameworks such as Apache Flink. This method presents an automated manner to execute analytics that preserves reproducibility and the ability to make adjustments without re-running the entire technique. The paper also demonstrates how these analytics may help several real-world use instances, explore affected person cohorts for studies, and develop stratified patient cohorts for hospital therapy. In the end, the paper observes how the proposed method may be exercised within the real world. Actively scalable inference for massive information analytics is pivotal in optimizing decision-making and allocation of assets. Typically, such inferences are made based on information accumulated from numerous sources, databases, unstructured data, and different digital sources. So one can ensure scalability, a complete cloud-primarily based platform has to be hired. This solution will permit the ***, deploying the essential records series and evaluation algorithms are prime here. It could permit the platform to recognize the styles inside the statistics and discover any ability correlations or traits. Additionally, predictive analytics and system mastering strategies may be incorporated to provide insights into the results of the information. In the long run, by leveraging those techniques, the platform can draw efficient inferences and appropriately compare situations in an agile and green way.. © 2023 IEEE.

关键词： adjustments an a lytics automated preserves statistics

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A new approach to SPECT attenuation correction without transmission measurements

A new approach to SPECT attenuation correction without trans...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： H. Kudo H. Nakamura Institute of Information Sciences and Electronics. University of Tsukuba Tsukuba Japan Doctoral Program in Engineering University of Tsukuba Tsukuba Japan

We propose a new approach to correct for nonuniform photon attenuation in SPECT imaging without transmission measurements. The new method can be considered a variant of F. Natterer's (1993) method based on the consistency condition. The method is based on estimating parameters of the attenuation map model such that the consistency condition is satisfied. However, to improve the accuracy and stability of Natterer's method, we introduce two new concepts in this problem. The first new concept is a new consistency condition based on the ordered subsets EM iterative attenuation correction, which is more informative that Natterer's one. The second new concept is a topologically constrained labeling method to estimate a segmented attenuation map. This labeling method allows to deal with complicated attenuation maps consisting of more than one region or having concave boundaries. The performance of the proposed method is tested with simulated data.

关键词： Attenuation measurement Image reconstruction Cost function Nonlinear equations Iterative methods Iterative algorithms Transforms Ellipsoids Spline

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Crystal Structure of ζ 2 ′ Martensite in Au-49.5at%Cd Alloy

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MRS Online Proceedings Library 1991年第1期246卷 73-78页

作者： Yutaka Emura Takuya Ohba Kazuhiro Otsuka Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Materials Science and Engineering School of Science and Engineering Teikyo University Utsunomiya Japan Institute of Materials Science University of Tsukuba Tsukuba Ibaraki Japan

Crystal structure of the ζ2′ martensite in a Au-49.5at%Cd ally has been analyzed by the single crystal x-ray diffraction method. The crystal lattice was trigonal and the lattice constants were a=0.8095(3) and c=0.57940(6) nm. There were 18 atoms in a unit cell. The space group was P3, which was different from that previously determined by Vatanayon and Hehemann. The structure was refined by the full matrix least squares method to a final R factor of 7.8% and a weighted R factor of 4.1%.

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