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Siberian Conference on Control and Communications (SIBCON)

作者： Nikita Zemtsov Jaroslav Hlava Galina Frantsuzova Henrik Madsen Rune Gr⊘nborg Junker John Bagterp J⊘rgensen Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russian Federation Department of Applied Mathematics and Computer Science Technical University of Denmark Kgs Lyngby Denmark

ISBN: (纸本)9781509010820

Rapid increase of the renewable energy share in electricity production requires optimization and flexibility of the power consumption side. Thermostatically controlled loads (TCLs) have a large potential for regulation service provision. Economic model predictive control (MPC) is an advanced control method which can be used to syncronize the power consumption with undispatchable renewable electricity production. Thermal behavior of TCLs can be described by linear models based on energy balance of the system. In some cases, parameters of the model may be time-varying. In this work, we present a modified economic MPC based on linear parameter-varying model. In particular, we provide an exact transformation from a standard economic MPC formulation to a linear program. We assume that the variables influencing the model parameters are known (predictable) for the prediction horizon of the controller. As a case study, we present control system that minimizes operational cost of swimming pool heating system, where parameters of the model depend on the weather forecast. Simulation results demonstrate that the proposed method is able to deal with this kind of systems.

关键词： Heating systems Economics Mathematical model Biological system modeling Predictive models Atmospheric modeling Tin

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Beyond android: An essential integration for better utilization

Beyond android: An essential integration for better utilizat...

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2016 International Conference on Interactive Mobile Communication Technologies and Learning, IMCL 2016

作者： El-Seoud, M. Samir Abou Taj-Eddin, Islam A.T.F. Faculty of Informatics and Computer Science British University in Egypt-BUE Cairo Egypt Faculty of Computers and Information Assiut University Assiut Egypt

ISBN: (纸本)9781509030637

Modern mobile communication technology had solved many problems for business and individuals. Modern open source android applications are featured individually. The integration of such applications will be essential for team managers or seniors. Many trials of integration do exist such as TripIt, Gist, TouchDown and iSolve, as an example. In this paper we introduced an integrated third party application that has essential features and functions. The proposed application is user friendly, efficient and cost effective. © 2016 IEEE.

关键词： Integration

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DEA and Fuzzy Simple Additive Weighting for Benchmarking Qualitative Data

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Journal of Physics: Conference Series 2019年第1期1361卷

作者： Dahlan Abdullah H Hartono Erianto Ongko Cut Ita Erliana Defi Irwansyah Akbar Iskandar Ayu Esteka Sari Abdussakir Yuniningsih Nurintan Asyiah Siregar Muhammad Syahrul Kahar Raditya Faisal Waliulu Ainna Amalia Nuning Kurniasih Muhammad Arifin Syafiul Muzid Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Informatics Akademi Teknologi Industri Immanuel Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Mathematics Education State Islamic University of Malang MalangIndonesia Department of Economic and Business Universitas Pembangunan Nasional 'Veteran' Surabaya Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Mathematics Education Department Universitas Muhammadiyah Sorong Sorong Indonesia Informatics Engineering Department Universitas Muhammadiyah Sorong Sorong Indonesia Islamic Institut of Miftahul Ula Kertosono Nganjuk East Java Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Information System Faculty of Engineering Universitas Muria Kudus Indonesia Information System Department Universitas Muria Kudus Indonesia

Data Envelopment Analysis (DEA) is one method that is often used in the benchmarking process. The benchmarking process with DEA is often faced with problems where there is a Decision Making Unit (DMU) both Input and Output which is not in the form of qualitative data but in the form of qualitative data. Qualitative data requires an assessment from the appraiser so that it can become quantitative data. This study will use the Fuzzy Simple Additive Weighting method to convert qualitative data into quantitative. The results of this study will produce a model that integrates DEA with Fuzzy Simple Additive Weighting.

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A fast learning algorithm for high dimensional problems: An application to microarrays 24

A fast learning algorithm for high dimensional problems: An ...

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24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016

作者： Fontenla-Romero, Oscar Guijarro-Berdiñas, Bertha Pérez-Sánchez, Beatriz Martínez-Rego, David Rego-Fernández, Diego Department of Computer Science University of A Coruña Faculty of Informatics Campus de Elviña s/n A Coruña Spain

ISBN: (纸本)9782875870278

In this work, a new learning method for one-layer neural network based on a singular value decomposition is presented. The optimal parameters of the model can be obtained by means of a system of linear equations whose complexity depends on the number of samples. This approach provides a fast learning algorithm for huge dimensional problems where the number of inputs is higher than the number of data points. These kinds of situations appear, for example, in DNA microarrays scenarios. An experimental study over eleven microarray datasets shows that the proposed method is able to outperform other representative classifiers, in terms of CPU time, without significant loss of accuracy.

关键词： Learning algorithms

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A User Interface Concept for Context-Aware Recommender Systems

A User Interface Concept for Context-Aware Recommender Syste...

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Mensch und computer 2016, MuC 2016 - Tagungsband - Human and computer 2016, MuC 2016 - Conference Proceedings

作者： Hiesel, Patrick Wörndl, Wolfgang Braunhofer, Matthias Herzog, Daniel Department of Informatics Technical University of Munich Germany Faculty of Computer Science Free University of Bozen Bolzano Italy

A context-aware recommender system incorporates the knowledge of different contextual factors - such as time or weather information - to improve the item suggestions made to a user. While this provides great benefit to users, it might be hard for them to grasp why certain items are relevant, given the complexity of a context-aware recommender. In this paper, we propose, implement and evaluate a user interface concept that seeks to tackle this challenge. We show how popularity graphs can be used to inform the user about the relevance of items in different contexts and how users perceive different contextual factors given our concept. A user study with 14 participants demonstrates that our concept is valid and appreciated by users. Copyright © 2016 bei den Autoren.

关键词： User interfaces

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Simplified Algorithmic Metatheorems Beyond MSO: Treewidth and Neighborhood Diversity

arXiv

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arXiv 2017年

作者： Knop, Dušan Koutecký, Martin Masařík, Tomáš Toufar, Tomáš Department of Theoretical Computer Science Faculty of Information Technology Czech Technical University in Prague Prague Czech Republic Faculty of IE&M Technion Israel Institute of Technology Haifa Israel Computer Science Institute Charles Univesity Prague Czech Republic Department of Applied Mathematics Charles University Prague Czech Republic Faculty of Mathematics Informatics and Mechanics University of Warsaw Poland Computer Science Institute Charles University Prague Czech Republic

MSC Codes F.2.2, G.2.2This paper settles the computational complexity of model checking of several extensions of the monadic second order (MSO) logic on two classes of graphs: graphs of bounded treewidth and graphs of bounded neighborhood diversity. A classical theorem of Courcelle states that any graph property definable in MSO is decidable in linear time on graphs of bounded treewidth. Algorithmic metatheorems like Courcelle’s serve to generalize known positive results on various graph classes. We explore and extend three previously studied MSO extensions: global and local cardinality constraints (CardMSO and MSO-LCC) and optimizing the fair objective function (fairMSO). First, we show how these extensions of MSO relate to each other in their expressive power. Furthermore, we highlight a certain "linearity" of some of the newly introduced extensions which turns out to play an important role. Second, we provide parameterized algorithms for the aforementioned structural parameters. On the side of neighborhood diversity, we show that combining the linear variants of local and global cardinality constraints is possible while keeping the linear (FPT) runtime but removing linearity of either makes this impossible assuming FPT 6= W[1]. Moreover, we provide a polynomial time (XP) algorithm for the most powerful of studied extensions, i.e. the combination of global and local constraints. Furthermore, we show a polynomial time (XP) algorithm on graphs of bounded treewidth for the same extension. In addition, we propose a general procedure for deriving XP algorithms on graphs on bounded treewidth using Constraint Satisfaction Problems (CSPs). This shows an alternative approach to standard dynamic programming formulations. © 2017, CC BY.

关键词： Constraint satisfaction problems

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Non-uniform language detection in technical writing

Non-uniform language detection in technical writing

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2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016

作者： Wang, Weibo Moh'd, Abidalrahman Islam, Aminul Soto, Axel J. Milios, Evangelos E. Faculty of Computer Science Dalhousie University Canada School of Computing and Informatics University of Louisiana Lafayette United States School of Computer Science University of Manchester United Kingdom

ISBN: (纸本)9781945626258

Technical writing in professional environments, such as user manual authoring, requires the use of uniform language. Nonuniform language detection is a novel task, which aims to guarantee the consistency for technical writing by detecting sentences in a document that are intended to have the same meaning within a similar context but use different words or writing style. This paper proposes an approach that utilizes text similarity algorithms at lexical, syntactic, semantic and pragmatic levels. Different features are extracted and integrated by applying a machine learning classification method. We tested our method using smart phone user manuals, and compared its performance against the state-of-the-art methods in a related area. The experiments demonstrate that our approach achieves the upper bound performance for this task. © 2016 Association for Computational Linguistics

关键词： Semantics

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Development, investigation, and software implementation of a new mathematical method for automating the analysis of corneal endothelium images

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Pattern Recognition and Image Analysis 2017年第3期27卷 550-559页

作者： Gurevich, I.B. Yashina, V.V. Fedorov, A.A. Nedzved’, A.M. Tleubaev, A.T. The Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences 44 Building 2 Vavilov str. Moscow119333 Russia Scientific Research Institute of Eye Diseases ul. Rossolimo 11A Moscow Russia Belarusian State University pr. Nezavisimosti 4 Minsk Belarus Faculty of Computational Mathematics and Cybernetics Moscow State University Moscow Russia United Institute of Informatics Problems National Academy of Sciences of Belarus ul. Surganova 6 Minsk Belarus

A new mathematical method is presented for processing and analyzing microscopic images of the epithelium posterius (endothelium) in the human eye cornea. As initial data, we use images of endothelial cells that are obtained noninvasively using a confocal microscope. Each image is a black-and-white photograph of the endothelial layer in the eye cornea with a bright-lighted center and dark periphery. The endothelial cells depicted in the images are light-colored, mostly hexagonal figures with a dark periphery. The proposed method is intended for detecting endothelial cells and determining some of their morphometric characteristics. The method yields an image with marked cells of hexagonal, pentagonal, and other (tetragonal and heptagonal) shapes, as well as a set of their characteristics. The proposed approach combines methods of mathematical morphology and image segmentation. The software implementation of the developed method, as well as the results of its experimental testing, is presented. © 2017, Pleiades Publishing, Ltd.

关键词： Image segmentation

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Mapping urban green open space in Bontang city using QGIS and cloud computing

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IOP Conference Series: Earth and Environmental science 2018年第1期144卷

作者： F Agus Ramadiani W Silalahi A Armanda Kusnandar GIS and Environment Modeling Research Group Computer Science Department Faculty of Computer Science and Information Technology-CSIT Mulawarman University Samarinda Kalimantan Timur Province Indonesia Informatics Department STMIK Widya Cipta Dharma Samarinda Kalimantan Timur Province Indonesia

Digital mapping techniques are available freely and openly so that map-based application development is easier, faster and cheaper. A rapid development of Cloud Computing Geographic Information System makes this system can help the needs of the community for the provision of geospatial information online. The presence of urban Green Open Space (GOS) provide great benefits as an oxygen supplier, carbon-binding agent and can contribute to providing comfort and beauty of city life. This study aims to propose a platform application of GIS Cloud Computing (CC) of Bontang City GOS mapping. The GIS-CC platform uses the basic map available that's free and open source. The research used survey method to collect GOS data obtained from Bontang City Government, while application developing works Quantum GIS-CC. The result section describes the existence of GOS Bontang City and the design of GOS mapping application.

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Mobile Application Detection of Road Damage using Canny Algorithm

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Journal of Physics: Conference Series 2018年第1期1019卷

作者： G Gunawan Heri Nuriyanto S Sriadhi Achmad Fauzi Ari Usman F Fadlina Haida Dafitri Janner Simarmata Andysah Putera Utama Siahaan Robbi Rahim Department of Computer Engineering and Informatics Politeknik Negeri Medan Indonesia Department of Informatics STMIK Dharma Wacana Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Department of Computer Engineering STMIK Kaputama Indonesia Department of Informatics Universitas Harapan Medan Indonesia Department of Informatics Management AMIK STIEKOM Sumatera Utara Indonesia Universitas Negeri Medan Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Faculty of Computer Science Universitas Pembangunan Panca Budi Indonesia

Edge detection is one of the most frequent processes in digital image processing for various purposes, one of which is detecting road damage based on crack paths that can be checked using a Canny algorithm. This paper proposed a mobile application to detect cracks in the road and with customized threshold function in the requests to produce useful and accurate edge detection. The experimental results show that the use of threshold function in a canny algorithm can detect better damage in the road.

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