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PID control and estimation of the attitude model applied to geostationary satellites

AIP Conference Proceedings 2023年第1期2725卷

作者： Juan Grados Wilver Auccahuasi Lucas Herrera César Cuba Jessica Meza Santiago Rubiños Herbert Grados Alfonso Fuentes Karin Rojas 1Faculty of Electronic and Computer Engineering Federico Villarreal National University / Lima Peru 2Private University of the North / Lima Peru 3Continental University / Huancayo Peru 4Faculty of Electrical and Electronic Engineering National University of Callao / Lima Peru 5Faculty of Industrial Engineering and Systems National University of Callao / Lima Peru 6Technological University of Peru / Lima Peru

The estimation of systems is based on the analysis of data obtained after experimenting about the behavior of a real process in response to an external disturbance in order to find a scheme that allows the mathematical stages to be modeled. This is the importance of its in-depth study, since if it is carried out correctly, re-directing resources to other fields is one of the many benefits of its application. This PhD thesis seeks to highlight the importance of correcting the displacements that satellites in orbit may experience, due to the influence of various agents, both of their own functioning and those generated by the environment in which they operate, that is why the technique of systems estimation should be presented as a very useful option thanks to the analysis tools of the MATLAB program. The putting in orbit of a team of these characteristics implies investment of strong amounts of time, money and technology; likewise maintain its initial orientation leads to the analysis of new parameters, without mentioning the great problem generated in the orbit of the Earth, if for reasons other than those considered "normal", this orientation varied and the implemented processes did not fulfill their function. The necessary driver for our project is a PID Control since a control law can compensate with the integral and derivative actions. The necessary tool for the development of our controller is from MATLAB. With this tool we can reach our goal, since it shows us the trajectory of the roots, as well as the necessary graphs showing control characteristics such as the maximum overshoot, stabilization time, and percentage of system error, among others.

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A separability-entanglement classifier via machine learning

arXiv

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arXiv 2017年

作者： Lu, Sirui Huang, Shilin Li, Keren Li, Jun Chen, Jianxin Lu, Dawei Ji, Zhengfeng Shen, Yi Zhou, Duanlu Zeng, Bei Department of Physics Tsinghua University Beijing100084 China Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Beijing Computational Science Research Center Beijing100193 China Department of Mathematics & Statistics University of Guelph GuelphONN1G 2W1 Canada Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD United States Department of Physics Southern University of Science and Technology Shenzhen518055 China Centre for Quantum Computation & Intelligent Systems School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Department of Statistics and Actuarial Science University of Waterloo WaterlooONN2L 3G1 Canada Institute of Physics Chinese Academy of Sciences Beijing100190 China

The problem of determining whether a given quantum state is entangled lies at the heart of quantum information processing, which is known to be an NP-hard problem in general. Despite the proposed many methods such as the positive partial transpose (PPT) criterion and the k-symmetric extendibility criterion to tackle this problem in practice, none of them enables a general, effective solution to the problem even for small dimensions. Explicitly, separable states form a high-dimensional convex set, which exhibits a vastly complicated structure. In this work, we build a new separability-entanglement classifier underpinned by machine learning techniques. Our method outperforms the existing methods in generic cases in terms of both speed and accuracy, opening up the avenues to explore quantum entanglement via the machine learning approach. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum entanglement

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Numerical properties of block Cholesky-like methods for solving symmetric quasi-definite linear systems

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AIP Conference Proceedings 2018年第1期1978卷

作者： Felicja Okulicka-Dłużewska Ryszard Kozera Alicja Smoktunowicz 1Faculty of Mathematics and Information Science Warsaw University of Technology Koszykowa 75 00-662 Warsaw Poland 2Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences - SGGW Nowoursynowska 159 02-776 Warsaw Poland 3School of Computer Science and Software Engineering The University of Western Australia 35 Stirling Highway Crawley Perth WA 6009 Australia 4Faculty of Computer Science Vistula University Stokłosy 3 02-787 Warsaw Poland

This paper presents a comparison of two Cholesky-like algorithms for solving symmetric quasi-definite system Mz = f. This pair of methods computes the block factorization M = RT DR, where R is upper triangular and D i...

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Implementation of microbial fuel cell in harvesting energy using wastewater

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AIP Conference Proceedings 2016年第1期1705卷

作者： N. L. Ramli M. S. Abdul Wahab S. A. Md Sharif N. H. Ramly 1Energy & Power Electronics Research Cluster (SuPER) Faculty of Electrical and Electronics Universiti Malaysia Pahang 26600 Pekan Pahang Malaysia 2Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Gambang Kuantan PahangMalaysia 3Faculty of Engineering Technology Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Gambang Kuantan PahangMalaysia

In this century, most of the companies use the electricity from the fossils fuels such as oil, gas and coal. This method will give negative impact to the environment and the fossils fuel will be run out. This project is to develop a microbial fuels cell that can produce electricity. There are several types of the microbial fuel cell, which are a single chamber, double chamber and continuous. In this paper, the double chamber microbial fuel cell was selected to investigate the effect of suspended sludge into the double chamber microbial fuels cell. The salt bridge will construct between both chambers of the double chamber microbial fuels cell. Carbon graphite rod is selected as an electrode at the cathode and anode to transfer the electron from the anode to the cathode. Electricity is generated from the anaerobic oxidation of organic matter by bacteria. At the end of this project, the microbial fuels cell was successful in generating electricity that can be used for a specific application.

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Distributed search engine architecture based on topic specific searches

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AIP Conference Proceedings 2015年第1期1660卷

作者： Yousra Abudaqqa Ahmed Patel aSchool of Computer Science Centre of Software Technology and Management (SOFTAM) Faculty of Information Science and Technology (FTSM) Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia bSchool of Computer Science Centre of Software Technology and Management (SOFTAM) Faculty of Information Science and Technology (FTSM) Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia cVisiting Professor School of Computing and Information Systems Faculty of Science Engineering and Computing Kingston University Kingston upon Thames KT1 2EE United Kingdom

Indisputably, search engines (SEs) abound. The monumental growth of users performing online searches on the Web is a contending issue in the contemporary world nowadays. For example, there are tens of billions of searches performed everyday, which typically offer the users many irrelevant results which are time consuming and costly to the user. Based on the afore-going problem it has become a herculean task for existing Web SEs to provide complete, relevant and up-to-date information response to users’ search queries. To overcome this problem, we developed the Distributed Search Engine Architecture (DSEA), which is a new means of smart information query and retrieval of the World Wide Web (WWW). In DSEAs, multiple autonomous search engines, owned by different organizations or individuals, cooperate and act as a single search engine. This paper includes the work reported in this research focusing on development of DSEA, based on topic-specific specialised search engines. In DSEA, the results to specific queries could be provided by any of the participating search engines, for which the user is unaware of. The important design goal of using topic-specific search engines in the research is to build systems that can effectively be used by larger number of users simultaneously. Efficient and effective usage with good response is important, because it involves leveraging the vast amount of searched data from the World Wide Web, by categorising it into condensed focused topic -specific results that meet the user’s queries. This design model and the development of the DSEA adopt a Service Directory (SD) to route queries towards topic-specific document hosting SEs. It displays the most acceptable performance which is consistent with the requirements of the users. The evaluation results of the model return a very high priority score which is associated with each frequency of a keyword.

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Publisher’s Note: “Nonlinear magnetoelectric effects in Y-type hexaferrite microwave resonators” [J. Appl. Phys. 128, 113905 (2020)]

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Journal of Applied Physics 2020年第14期128卷

作者： Maksym Popov Ying Liu Igor Zavislyak Hongwei Qu T. Zhang M. R. Page G. Srinivasan 1Faculty of Radiophysics Electronics and Computer Systems Taras Shevchenko National University of Kyiv Kyiv 01601 Ukraine 2Department of Physics Oakland University Rochester Michigan 48309 USA 3Department of Materials Science and Engineering Hubei University Wuhan 430062 China 4Department of Electrical Engineering and Computer Science Oakland University Rochester Michigan 48309 USA 5Materials and Manufacturing Directorate Air Force Research LaboratoryWright-Patterson Air Force Base Dayton Ohio 45433 USA

This article was originally published online on 21 September 2020 with errors in the affiliation. The affiliation appears correct above. All online and printed

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The use of public-private partnership in the machine-building industry

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AIP Conference Proceedings 2022年第1期2467卷

作者： Oksana Bondarskaya Tatyana Bondarskaya Sergey Pichugin Anna Drozdova Elena Avksentieva Sergey Yekimov 1Tambov State Technical University Tambov Russian 2S. P. Korolev Rocket and Space Corporation Energia Moscow Russia 3Faculty of Business Informatics and Integrated Systems Management Department of Industrial Economics and Management National Research Nuclear University MEPhI Moscow Russia 4Faculty of Software Engineering and Computer Systems ITMO University St. Peterburg Russia 5Publishing House “Education and Science” Prague The Czech Republic

The process of reengineering business processes, in our opinion, is an iterative procedure in the process of enterprise management. Each subsequent business process in the business process chain is a logical continuation of the previous one. The reengineering procedure is characterized by the presence of some feedback about the impact of each individual business process on the overall set of business processes. During the implementation of reengineering, traditional business approaches may undergo revision. Often, many business rules need to be improved and are outdated. The use of public-private partnerships, in our opinion, can be considered as elements of reengineering, since partnerships with the state can open up new business development prospects for an enterprise, and many business processes used at this enterprise can be rethought and updated. The production of high-quality and high-performance agricultural machinery can be of great importance for solving the problem of ensuring food security of the state. The use of various forms of public-private partnership allows us to speed up the solution of this problem. The implementation of economic modernization requires the full use of the economic potential of the state. This can be achieved only if public-private partnerships are effectively implemented, since they allow combining the resources of the state and private business to achieve common goals.

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RETRACTED ARTICLE: An Intelligent and Secure Air Quality Monitoring System Using Neural Network Algorithm and Blockchain

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IETE Journal of Research 2023年第11期69卷 CVII-CXX页

作者： Abu Buker Siddique Rafaqat Kazmi Habib Ullah Khan Sikandar Ali Ali Samad Gulraiz Javaid 1 Department of Software Engineering The Islamia University of Bahawalpur Bahawalpur63100 Pakistan 2 Department of Accounting and Information Systems College of Business and Economics Qatar University Doha 2713 Qatar 3 Department of Information Technology The University of Haripur Haripur22620 Khyber Pakhtunkhwa Pakistan 4 Faculty of Computing Department of Computer Sciences The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain systems and Industrial Internet of Things”:Abu Buker Siddique, Rafaqat Kazmi, Habib Ullah Khan, Sikandar Ali, Ali Samad & Gulraiz Javaid (2022) An Intelligent and Secure Air Quality Monitoring System Using Neural Network Algorithm and Blockchain, IETE Journal of Research, DOI:10.1080/03772063.2022.2052984Following publication, concerns were raised about the peer review and decision-making processes for this special *** an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal’s peer review standards and *** the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special *** journal has not confirmed if the authors were aware of this compromised peer review *** journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this *** have been informed in our decision-making by our editorial policies and the COPE *** retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as “Retracted”.

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System for semantic technology-based access management in a port terminal

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AIP Conference Proceedings 2018年第1期2025卷

作者： R. Szczekutek M. Ganzha M. Paprzycki S. Fidanova I. Lirkov C. Badica M. Ivanovic 1Faculty of Mathematics and Information Sciences Warsaw University of Technology ul. Koszykowa 75 00-662 Warsaw Poland 2Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland 6Faculty of Informatics Warsaw Management Academy Kaweczynska 36 03-772 Warsaw Poland 3Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev bl. 25A 1113 Sofia Bulgaria 4Software Engineering Department Faculty of Automatics Computers and Electronics University of Craiova 107 Decebal Blvd. Craiova RO-200440 Romania 5University of Novi Sad Faculty of Sciences Department of Mathematics and Informatics Trg Dositeja Obradovica 4 21000 Novi Sad Serbia

Today’s dynamic growth of the number of deployed solutions, based on the Internet of Things (IoT) concept, goes hand-in-hand with the need for new access control mechanisms. The Attribute Based Access Control (ABAC) paradigm seems to be a good alternative to the, commonly used, Role Based Access Control (RBAC) model, which does not necessarily work well in large-scale distributed systems. Specifically, the main drawback of the policy-based authorization solutions is the resulting high complexity of required policies, especially in the case of fine-grained access control (a clear case of lack of scalability). We believe that this problem can be appeased by incorporating semantic technologies into the decision-making process. In this paper we discuss a system for managing access control in a port terminal, based on application of semantic technologies. The proposed system is based on introduced and uses a modified version of the OntoPlay semantic application. The latter allows non-specialists to easily perform needed modifications of the ontology. The proposed system has been tested in a semi-realistic environment and in an emulator.

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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