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Symposium on VLSI Technology

作者： Ju Hyun Kim W. C. Lim U. H. Pi J. M. Lee W. K. Kim J. H. Kim K. W. Kim Y. S. Park S. H. Park M. A. Kang Y. H. Kim W. J. Kim S. Y. Kim J. H. Park S. C. Lee Y. J. Lee J. M. Yoon S. C. Oh S. O. Park S. Jeong S. W. Nam H. K. Kang E. S. Jung Process Development Team Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung-City Gyeonggi-Do Korea Computer Aided Engineering Team Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung-City Gyeonggi-Do Korea Memory Analysis Science & Engineering Group Samsung Electronics Co. Ltd. Hwasung-City Gyeonggi-Do Korea

Scalability of interface driven perpendicular magnetic anisotropy (i-PMA) magnetic tunnel junctions (MTJs) has been improved down to 1X node which verifies STT-MRAM for future standalone memory. With developing a novel damage-less MTJ patterning process, robust magnetic and electrical performances of i-PMA MTJ cell down to 15 nm node could be achieved.

关键词： Thermal stability Magnetic tunneling Switches Stability analysis Magnetic switching Thermal factors Scalability

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engineering information system for a demonstration plant facility. A newly developed system has, within the first year, led to operating savings well in excess of the cost of the complete system

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process Safety Progress 1983年第3期2卷 160-164页

作者： L. W. Bonnell E. C. Heydorn J. R. Couch Air Products and Chemicals Inc. Allentown Pa. 18105 Leo W. Bonnell is a Senior Process Engineer with Air Products and Chemicals Inc. (Box 538 Allentown PA 18105–215-481-5530). He received S.B. and S.M. degrees in chemical engineering from MIT. He has been active in process development and demonstration of new technologies related to synthetic fuels since joining the company's Process Systems Group in 1978. Edward C. Heydorn is a Process Engineer with Air Products and Chemicals Inc. Allentown PA. The holder of a B.S.Ch.E. degree from Drexel Univ. he works in the Process Systems Group in the areas of new technology development and design of data acquisition systems. James R. Couch is a Sr. Principal Engineering Analyst with Air Products and Chemicals in the MIS/ESS Computer Process Controls Group. After receiving a B.S. in Engineering Chemistry from Lehigh Univ. he worked as a Research Chemist and Computer Specialist for Standard Oil of Ohio before joining APCI in 1977.

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Enhancing Prediction in Cyclone Separators through Computational Intelligence

Enhancing Prediction in Cyclone Separators through Computati...

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Congress on Evolutionary Computation

作者： Oluwaseyi Ogun Mbetobong Enoh Georgina Cosma Aboozar Taherkhani Vincenzo Madonna Process Systems Engineering Laboratory Obafemi Awolowo University Ile-Ife Nigeria Electrical and Electronics Engineering Akwa Ibom State University Nigeria Department of Computer Science Loughborough University Loughborough United Kingdom School of Science and Informatics De Montfort University Leicester United Kingdom PEMC Research Group University of Nottingham Nottingham United Kingdom

ISBN: (数字)9781728169293

ISBN: (纸本)9781728169309

Pressure drop prediction is critical to the design and performance of cyclone separators as industrial gas cleaning devices. The complex non-linear relationship between cyclone Pressure Drop Coefficient (PDC) and geometrical dimensions suffice the need for state-of-the-art predictive modelling methods. Existing solutions have applied theoretical/semi-empirical techniques which fail to generalise well, and the suitability of intelligent techniques has not been widely explored for the task of pressure drop prediction in cyclone separators. To this end, this paper firstly introduces a fuzzy modelling methodology, then presents an alternative version of the Extended Kalman Filter (EKF) to train a Multi-Layer Neural Network (MLNN). The Lagrange dual formulation of Support Vector Machine (SVM) regression model is also deployed for comparison purposes. For optimal design of these models, manual and grid search techniques are used in a cross-validation setting subsequent to training. Based on the prediction accuracy of PDC, results show that the Fuzzy System (FS) is highly performing with testing mean squared error (MSE) of 3.97e-04 and correlation coefficient (R) of 99.70%. Furthermore, a significant improvement of EKF-trained network (MSE = 1.62e-04, R = 99.82%) over the traditional Back-Propagation Neural Network (BPNN) (MSE = 4.87e-04, R = 99.53%) is observed. SVM gives better prediction with radial basis kernel (MSE = 2.22e-04, R = 99.75%) and provides comparable performance to universal approximators. Of the conventional models considered, the model of Shepherd and Lapple (MSE = 7.3e-03, R = 97.88%) gives the best result which is still inferior to the intelligent models.

关键词： Cyclones Mathematical model Predictive models Computational modeling Particle separators Support vector machines Training

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Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning based Meta-Ensemble

arXiv

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arXiv 2023年

作者： Hameed, Madiha Bilal, Muhammad Majid, Tuba Majid, Abdul Khan, Asifullah Department of Computer and Information Sciences Pakistan Institute of Engineering and Applied Sciences Islamabad Pakistan Department of Information Technology Services Hafiz Hayat Campus University of Gujrat Punjab Pakistan Research Group Department of Mechanical and Process Engineering ETH Zürich Zürich Switzerland PIEAS Artificial Intelligence Center Pakistan Institute of Engineering and Applied Sciences Nilore Islamabad Pakistan

Leukemia, the cancer of blood cells, originates in the blood-forming cells of the bone marrow. In Chronic Myeloid Leukemia (CML) conditions, the cells partially become mature that look like normal white blood cells but do not resist infection effectively. Early detection of CML is important for effective treatment, but there is a lack of routine screening tests. Regular check-ups and monitoring of symptoms are the best way to detect CML in the early stages. In the study, we developed a multi-layer-perception-based meta-ensemble system using protein amino acid sequences for early risk prediction of CML. The deleterious mutation analysis of protein sequences provides 7discriminant information in amino acid sequences causing CML. The protein sequences are expressed into molecular descriptors using the values of hydrophobicity and hydrophilicity of the amino acids. 9 These descriptors are transformed in various statistical and correlation-based feature spaces. These 10 features information is given to several diverse types of base learners. The preliminary predictions of 11 base-learners are employed to develop Multi-Layered Perceptron (MLP) based meta-ensemble. The 12 proposed learning approach effectively utilizes the discriminant information to classify CML/non- 13 CML protein sequences. The proposed prediction system has given improved results and it can be 14 employed as a potential biomarker for early diagnosis of CML. © 2023, CC BY.

关键词： Hydrophobicity

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on Control and Automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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Non-Parametric Local Maxima and Minima Finder with Filtering Techniques for Bioprocess

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Journal of Signal and Information processing 2016年第4期7卷 192-213页

作者： K. K. L. B. Adikaram M. A. Hussein M. Effenberger T. Becker Group Bio-Process Analysis Technology Technische Universit&auml t München Freising Germany Bavarian State Research Center for Agriculture Institute for Agricultural Engineering and Animal Husbandry Freising Germany Computer Unit Faculty of Agriculture University of Ruhuna Mapalana Kamburupitiy Sri Lanka Lehrstuhl für Brau-und Getr&auml nketechnologie Technische Universit&auml t München Freising Germany

Typically extrema filtration techniques are based on non-parametric properties such as magnitude of prominences and the widths at half prominence, which cannot be used with data that possess a dynamic nature. In this work, an extrema identification that is totally independent of derivative-based approaches and independent of quantitative attributes is introduced. For three consecutive positive terms arranged in a line, the ratio (R) of the sum of the maximum and minimum to the sum of the three terms is always 2/n, where n is the number of terms and 2/3 ≤ R ≤ 1 when n = 3. R > 2/3 implies that one term is away from the other two terms. Applying suitable modifications for the above stated hypothesis, the method was developed and the method is capable of identifying peaks and valleys in any signal. Furthermore, three techniques were developed for filtering non-dominating, sharp, gradual, low and high extrema. Especially, all the developed methods are non-parametric and suitable for analyzing processes that have dynamic nature such as biogas data. The methods were evaluated using automatically collected biogas data. Results showed that the extrema identification method was capable of identifying local extrema with 0% error. Furthermore, the non-parametric filtering techniques were able to distinguish dominating, flat, sharp, high, and low extrema in the biogas data with high robustness.

关键词： Extrema Point First Derivative Peak Finder Peaks and Valleys Maxima and Minima Second Derivative

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CAD CAM MANUFACTURING OF PROTOTYPE SHIPBOARD COMPONENTS

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NAVAL ENGINEERS JOURNAL 1990年第3期102卷 93-99页

作者： CALVERT, TE RODRIGUEZ, FA SLEBZAK, JS Thomas E. Calvert P.E.: is a senior project engineer with the Propulsion and Auxiliary Systems Department David Taylor Research Center Annapolis Md. His interests include application of computers to all aspects of engineering with particular emphasis on utilization of small computers. Mr. Calvert is a licensed professional engineer in Maryland. He received a BSEE from Drexel University in 1969 and since that time has completed a number of graduate courses related to machinery acoustics. Francisco A. Rodriguez:is an engineer with the Propulsion and Auxiliary Systems Department David Taylor Research Center. He was formerly with the Computer-Aided Design/Interactive Graphics Group of the Division of Engineering and Weapons U.S. Naval Academy. His interests include interfacing the computer aided design to the computer aided manufacturing along with related software and hardware development. Mr. Rodriguez received a BSEEfrom the University of Virginia in 1968. James S. Slebzak:is a mechanical engineering technician with the Propulsion and Auxiliary Systems Department David Taylor Research Center. He received his machinists papers in 1971 after serving his apprenticeship at David Taylor Research Center. He continued his education and became the senior numerical control programmer at the Annapolis Laboratory. He completed his mechanical technology degree from Anne Arundel Community College in 1986. His interests are in the application of numerically controlled manufacturing techniques to prototype machinery components.

The machine shop at the Annapolis Laboratory of the David Taylor research Center (DTRC) provides model making and prototype support to a large variety of naval ship related engineering projects. In order to meet these challenging requirements, computer aided design/computer aided manufacturing (CAD/CAM) techniques are being used to produce “one of a kind” prototypes or very low volume production parts. The use of computer aides in these cases is to facilitate the accurate manufacture of a difficult part, rather than to improve manufacturing efficiencies. In addition, the approach provides the flexibility required to support research and development projects. Several examples of prototype shipboard components manufactured using CAD/CAM techniques are presented in this paper. The hardware and software that facilitated these projects are discussed. The examples described have met the requirements to produce a wide variety of prototype shipboard machinery components quickly and accurately.

关键词： Ship Equipment

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Model-based control of vortex shedding using low-dimensional galerkin models

Model-based control of vortex shedding using low-dimensional...

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33rd AIAA Fluid Dynamics Conference and Exhibit 2003

作者： Gerhard, Johannes Pastoor, Mark King, Rudibert Noack, Bernd R. Dillmann, Andreas Morzyński, Marek Tadmor, Gilead Measurement and Control Group Institute for Process and Plant Technology Technical University of Berlin P2-1 Hardenbergstraße 36a D-10623 Berlin Germany Hermann-Föttinger-lnstitute of Fluid Mechanics Technical University of Berlin HF1 Straße des 17. Juni 135 D-10623 Berlin Germany Institute of Combustion Engines and Basics of Machine Design Poznań University of Technology ul. Piotrowo 3 PL 60-965 Poznań Poland Department of Electrical and Computer Engineering Northeastern University 440 Dana Research Building Boston MA 02115 United States

ISBN: (纸本)9781624100956

A model-based flow control strategy is proposed for the suppression of vortex shedding behind a circular cylinder. The control design is based on a hierarchy of low-dimensional Galerkin models of the cylinder wake. These models are constructed from a Karhunen-Loève decomposition of a simulation without actuation. The key enablers are an additional physical mode in the Karhunen-Loève approximation and an energy-based control which respects the regime of model validity. The developed control strategy is successfully tested in direct numerical simulations. © 2003 by J. Gerhard, M. Pastoor, R. King, B.R. Noack, A. Dillmann, M. Morzyński and G. Tadmor. Published by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Circular cylinders

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Analysis of IIR Filters by Interval Response

Analysis of IIR Filters by Interval Response

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Moscow Workshop on Electronic and Networking Technologies (MWENT)

作者： Vinícius Borges Erivelton G. Nepomuceno Aleksandra V. Tutueva Artur I. Karimov Carlos Duque Timur I. Karimov Electrical Engineering Department Federal University of São João del-Rei São João del-Rei Brazil Computer Aided Design Department Petersburg Electrotechnical University Saint Petersburg Russia Youth Research Institute Petersburg Electrotechnical University Saint Petesburg Russia Power Electronics and Automation Group Federal University of Juiz de Fora Juiz de Fora Brazil

ISBN: (数字)9781728125725

ISBN: (纸本)9781728125732

The classical theory of signal processing assumes that the designed IIR filters are continuous and have infinitely accurate coefficients. However, when developing filters for real-world digital signal processing tasks, it is necessary to take into account the finite precision of the coefficients representation, especially considering the fixed-point arithmetic. In this paper, we propose a new approach, which we call the interval size approach, making it easy to evaluate the actual digital filter response for various fixed-point arithmetic parameters. We provide Illustrative examples to demonstrate the frequency response bounds evolution as an order, cutoff frequency, and signal frequency are varying. We show that the interval size can be used as a well-suited accuracy factor of a digital filter.

关键词： IIR filters Low pass filters Finite impulse response filters Filtering theory Quantization (signal) Cutoff frequency

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A conceptual framework for SPI evaluation

arXiv

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arXiv 2023年

作者： Unterkalmsteiner, Michael Gorschek, Tony Islam, A.K.M. Moinul Cheng, Chow Kian Permadi, Rahadian Bayu Feldt, Robert Software Engineering Research Lab School of Computing Blekinge Institute of Technology KarlskronaSE-371 79 Sweden Software Engineering: Process and Measurement Research Group Department of Computer Science University of Kaiserslautern PO Box 3049 Kaiserslautern67653 Germany General Electrics Healthcare Healthcare IT. Munzinger Straße 5 Freiburg79111 Germany Amadeus S.A.S. Product Marketing and Development 485 Route du Pin Montard Boite Postale 69 Sophia Antipolis06902 Cedex France

Software process Improvement (SPI) encompasses the analysis and modification of the processes within software development, aimed at improving key areas that contribute to the organizations’ goals. The task of evaluating whether the selected improvement path meets these goals is challenging. Based on the results of a systematic literature review on SPI measurement and evaluation practices, we developed a framework (SPI-MEF) that supports the planning and implementation of SPI evaluations. SPI-MEF guides the practitioner in scoping the evaluation, determining measures and performing the assessment. SPI-MEF does not assume a specific approach to process improvement and can be integrated in existing measurement programs, refocusing the assessment on evaluating the improvement initiative’s outcome. Sixteen industry and academic experts evaluated the framework’s usability and capability to support practitioners, providing additional insights that were integrated in the application guidelines of the framework. Copyright © 2013 John Wiley & Sons, Ltd. © 2023, CC BY-NC-SA.

关键词： Software design

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