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2020 Swedish Workshop on Data Science, SweDS 2020

作者： Paszkowsky, Nuria Agues Brannvall, Rickard Carlstedt, Johan Milz, Mathias Kovacs, Gyorgy Liwicki, Marcus Unit for Data Center Systems and Applied Data Science Research Institutes of Sweden Sweden Luleå University of Technology Dep. of Computer Science Electrical and Space Engineering Sweden

ISBN: (纸本)9781728192048

This article describes analytical work carried out in a pilot project for the Swedish Space Data Lab (SSDL), which focused on monitoring drought in the Mälardalen region in central Sweden. Normalized Difference Vegetation Index (NDVI) and the Moisture Stress Index (MSI)-commonly used to analyse drought- A re estimated from Sentinel 2 satellite data and averaged over a selection of seven grassland areas of interest. To derive a complete time-series over a season that interpolates over days with missing data, we use Gaussian Process Regression, a technique from multivariate Bayesian analysis. The analysis show significant differences at 95% confidence for five out of seven areas when comparing the peak drought period in the dry year 2018 compared to the corresponding period in 2019. A cross-validation analysis indicates that the model parameter estimates are robust for temporal covariance structure (while inconclusive for the spatial dimensions). There were no signs of over-fitting when comparing in-sample and out-of-sample RMSE. © 2020 IEEE.

关键词： Remote sensing

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Minimization of wind power curtailment using dynamic line rating 10

Minimization of wind power curtailment using dynamic line ra...

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10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020

作者： Chakrapani Manakari, Vageesh Thengius, Sandra Tammanur Ravi, Akshaya Morozovska, Kateryna Hilber, Patrik KTH Royal Institute of Technology Div. of Electric Power and Energy Systems School of Electrical Engineering and Computer Science Stockholm Sweden Heimdall Power AS Oslo Norway KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Dep. of Electromagnetic Engineering Stockholm Sweden

ISBN: (数字)9781728171005

ISBN: (纸本)9781728171005

Large scale penetration of wind power to the grid and unevenly spread power demand can result in the transmission system not being able to dispatch all the produced wind power, causing in wind power *** line rating (DLR) is a technology which uses thermal properties of overhead conductors and weather data to determine the real-time ampacity limits of transmission lines. In general, dynamic rating allows extending capacity limits of power lines and helps to remove congestion in the grid.(/p)(p This study looks into the possibility of using dynamic line rating for removing congestion in the power system to allow dispatching more wind power and minimize the need for curtailment. The results of case-studies have shown that DLR allows to significantly reduce the curtailment of generation, especially during winter, when wind production is highest and day time, when the power demand is the highest. © 2020 IEEE.

关键词： Wind power

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Evidence-Based Quality-Aware Agile Software Development Process: Design and Evaluation

SSRN

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SSRN 2023年

作者： Karhapää, Pertti Behutiye, Woubshet Seppänen, Pertti Rodríguez, Pilar Oivo, Markku Franch, Xavier Martinez-Fernandez, Silverio López, Lidia Choraś, Michal Bagnato, Alessandra Aaramaa, Sanja Partanen, Jari University of Oulu Oulu90014 Finland Department of Service and Information System Engineering UPC-BarcelonaTech Barcelona08034 Spain Kaiserslautern67663 Germany ITTI Sp. z o.o Poznan61-612 Poland University of Science and Technology UTP Univerisy of Science and Technology Bydgoszcz5-796 Poland Softeam Paris75016 France Nokia Oy Oulu90620 Finland Bittium Wireless Ltd. Oulu90590 Finland University of Puget Sound United States Dep. Of Languages Computer Systems and Software Engineering Faculty of Computer Science Universidad Politécnica de Madrid Spain Dep. ESSI GESSI Research Group UPC-BarcelonaTech Barcelona08034 Spain Centro Nacional de Supercomputacíon Barcelona08034 Spain

Context Agile software development (ASD) aims to deliver high-quality software. However, software quality often gets less attention due to focus on *** an evidence-based quality-aware ASD process that organizations can use to create a more quality-aware development process and improve software *** methodUsing design science research, we collaborated with four organizations applying ASD in different contexts. Involving a total of 35 practitioners, we designed company-specific evidence-based quality-aware ASD processes, which were validated through simulated scenarios, implemented, and evaluated by the practitioners. ResultsA general ASD process model, derived from the company-specific models, was created, which shows the specific activities, frequencies, roles, and development phases where evidence can be used to improve software quality. The new process model contributed towards improved bottleneck identification, release readiness, and quality issues prioritization. We also learned that companies must be mindful of the rules that determine the use of evidence. Conclusion Integrating the use of quality related evidence into the ASD process can make it quality-aware, supporting software quality management, and enabling timely reaction through fast feedback loops. The evidence-based quality-aware ASD process is applicable in any Scrum-like ASD process. Applicability in other forms of ASD, however, requires further research. © 2023, The Authors. All rights reserved.

关键词： Quality control

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Stabilization of THz waves using chaos supremacy

Stabilization of THz waves using chaos supremacy

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International Conference on Smart Green technology in Electrical and Information Systems (ICSGTEIS)

作者： Fumiyoshi Kuwashima Mona Jarrahi Semih Cakmakyapan Kenji Wada Masanobu Haraguchi Yuki Kawakami Takeshi Moriyasu Osamu Morikawa Kazuyoshi Kurihara Hideaki Kitahara Takashi Furuya Makoto Nakajima Masahiko Tani Dep. of Electr. and Electron. Eng. Fukui University of Technology Fukui Japan Electrical and Computer Eng. UCLA Los Angeles CA USA Dep. of Physics and Electronics Osaka Metropolitan University Osaka Japan Industrial and Social Science Grad. Sch. of Tech. Tokushima Univ. Tokushima Japan Dep. of Elec. and Inf. Eng. Natl. Inst. of Tech. Fukui Col. Fukui Japan Faculty of Engineering University of Fukui Fukui Japan Chair of Liberal Arts Japan Coast Guard Academy Kure Japan School of Education University. of Fukui Fukui Japan FIR-UF University of Fukui Fukui Japan Inst. of Laser Engineering Osaka Univ. Osaka Japan

We apply the chaos supremacy of laser chaos system to the high stabilization of THz waves. Stability was demonstrated by down converting the optical beats between laser longitudinal modes in the THz domain to the radio frequency domain and comparing a conventional free running CW laser diode to a chaotically oscillating laser diode. Because of their exceptional stability, chaotically oscillating lasers are attractive options for optical pump sources in terahertz time-domain spectroscopy systems.

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An Overview of Bag of Words;Importance, Implementation, Applications, and Challenges 5

An Overview of Bag of Words;Importance, Implementation, Appl...

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5th International engineering Conference on Developments in Civil and computer engineering Applications, IEC 2019

作者： Qader, Wisam A. Ameen, Musa M. Ahmed, Bilal I. Tishk International University Computer Engineering Dep. Erbil Iraq Tishk International University Information Technology Dep. Erbil Iraq

ISBN: (纸本)9781728143774

In the past fifteen years, the grow of using Bag of Words (BoW) method in the field of computer vision is visibly observed. In addition,-for the text classification and texture recognition, it can also be used in classification of images, videos, robot localization, etc. It is one of the most common methods for the categorization of text and objects. In text classification, the BoW method records the number of occurrences of each bag that is created for each instance type or word disregarding the order of the words or the grammar. And in visual scene classification it is based on clusters of local descriptors which are taken from the images disregarding the order of the clusters. The key idea is to generate a histogram for the words in the documents or the features in the images to represent the specified document or image. The BoW method is computationally and even conceptually is simpler than many other classification methods. For that reason, BoW based systems could record new and higher performance scores on common used benchmarks of text and image classification algorithms. This paper presents an overview of BoW, importance of BoW, how does it work, applications and challenges of using BoW. This study is useful in terms of introducing the BoW method to the new researchers and providing a good background with associated related works to the researchers that are working on the model. © 2019 IEEE.

关键词： Image classification

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An Overview on Big Data Mining Using Evolutionary Techniques

An Overview on Big Data Mining Using Evolutionary Techniques

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2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies, 3ICT 2020

作者： Alaeddin, Fadia Khalifeh, Ala' Darabkh, Khalid A. Princess Sumaya University for Technology Luminus Technical University College Computer Science Department Amman Jordan German Jordanian University Dep. of Electrical Eng. Amman Jordan University of Jordan Dept. of Computer Engineering Amman Jordan

ISBN: (纸本)9781728196732

Big Data processing suffers from several limitations due to its magnitude making it time consuming to implement any kind of analysis such as data mining. Evolutionary Algorithms (EAs) are metaheuristic optimization algorithms inspired by the natural behavior of the population evolution such as Genetic Algorithm, Artificial Bee Colony, Artificial Ant Colony and other swarm intelligence algorithms. EAs have recently been used to overcome Big Data limitations, especially memory consumption and the long execution time. This paper provides an overview of the recent research papers that utilize evolutionary algorithms to deal with the optimization problems related to Big Data mining such as clustering, classification and features' selection. © 2020 IEEE.

关键词： K-means clustering

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Controller Chip Design of Serial-Parallel-Switched-Capacitor Coupled-Inductor Boost DC-AC Inverter

Controller Chip Design of Serial-Parallel-Switched-Capacitor...

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IEEE International Conference on Power and Energy Applications (ICPEA)

作者： Yuen-Haw Chang Zheng-Bin Li Dep. of Computer Science and Information Engineering Chaoyang University of Technology Wufong Taichung Taiwan

ISBN: (数字)9781728190297

ISBN: (纸本)9781728190303

This work is focused on the controller chip design/ implementation of serial-parallel-switched-capacitor coupledinductor (SPSCCI) inverter applied to high-gain boost DC-AC conversion. The controlled plant is its power part made up of SPSCCI booster and DC-link inverter to perform a practical DC-AC conversion from 12V to 110VRMS, 60Hz. Here, for achieving this goal, the controller is its control part constructed by sinusoidal pulse-width-modulation (SPWM) compensator plus phase generator, and then is implemented under Cadence full-custom design through pre-layout simulation (PRE-SIM) and post-layout simulation (POST-SIM) on a fabricated chip of integrated circuit: no. D35-105B-E0008, TSMC 0.35μm 2P4M, 1500×1500μm 2 , 5.0V, 2.68mW, max frequency 200kHz. Finally, with the help of this controller chip, a closed-loop prototype circuit of this SPSCCI can be realized and verified experimentally for some test cases of DC-AC to validate the feasibility of this inverter.

关键词： Inverters Layout Integrated circuit modeling Inductors Switches Chip scale packaging Generators

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Extremum Seeking Control for Beam Steering using Hypersurfaces

Extremum Seeking Control for Beam Steering using Hypersurfac...

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IEEE International Conference on Communications Workshops, ICC

作者： Nouman Ashraf Marios Lestas Taqwa Saeed Hamidreza Taghvaee Sergi Abadal Andreas Pitsillides Christos Liaskos Dep. of Electrical Engineering Frederick University Dep. of Computer Science University of Cyprus Nicosia Cyprus Dep. of Computer Architecture Universitat Politècnica de Catalunya Barcelona Spain Institute of Computer Science Foundation of Research and Technology Hellas Heraklion Greece

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

Hypersurface, a software defined metasurface (SDM) paradigm constitutes a revolutionary technology aiming at offering programmatic control over all aspects of a propagating wave, altering its direction, power, polarization and phase. In the absence of line of sight (LOS) between a transmitter and a receiver, HSF can provide seamless connectivity via programmatic reflection. However, such an application requires fine tuning of the metasurface reconfiguration parameters, which may not be effective when done in an open loop fashion due to model uncertainties. In this work, we consider a feedback-based formulation of the problem, which involves maximization of the received power and propose the use of Extremum Seeking Control (ESC) for the controller implementation due to fact that it is model-free and adheres to the maximization problem. Extensive simulations indicate that the proposed scheme is successful in guiding the impinging wave to the receiver within reasonable time even in the presence of time varying delays incurred by message propagation. In addition, a discrete time implementation is considered, investigating its limitations as we increase the sampling time while also characterizing the traffic within the controller network.

关键词： Receivers Beam steering Transmitters Aerospace electronics computer science Software Delays

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Hamiltonian Control for CC-CV Primary-side Buck Converter of Inductive Wireless EV Charging

Hamiltonian Control for CC-CV Primary-side Buck Converter of...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Thanet Sriprom Jutturit Thongpron Uthen Kamnarn Anon Namin Noureddine Takorabet Nicu Bizon Serge Pierfederici Babak Nahid-Mobarakeh Pongsiri Mungpom Burin Yodwong Phatiphat Thounthong Department of Electrical Engineering Faculty of Rajamangala University of Technology Lanna (RMUTL) Chiang Mai Thailand Groupe de Recherche en Energie Electrique de Nancy (GREEN) Universite de Lorraine Nancy France The National University of Science and Technology POLITEHNICA Bucharest Pitesti University Centre Pitesti Romania Laboratoire d'Energetique et de Mecanique Theorique et Appliquee (LEMTA) University of Lorraine Vandceuvre-Les-Nancy France Electrical and Computer Engineering McMaster University Hamilton Canada Thai French Innovation Institute King Mongkut's University of Technology North Bangkok Bangkok Thailand Dep. of Teacher Training in EE Faculty of Technical Education KMUTNB Bangkok Thailand

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

This study presents a Hamiltonian control law for constant current - constant voltage (CC-CV) inductive wireless charging. The novel control system design, simulation, and experimentation aimed to confirm the Hamiltonian controller is a superior choice. The wireless charging experiments tested the step-resistant battery simulator and the EV battery. Based on the findings, it is possible to run the Hamiltonian control law for continuous 10A and 82 V charging while maintaining optimal response, stability, and realization. The charging system's maximum efficiency and power were 76.5% and 782 W.

关键词： Wireless communication Lithium-ion batteries PI control Buck converters Inductive charging Asia Stability analysis Electric vehicle charging Voltage control

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Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process

arXiv

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arXiv 2021年

作者： Liu, Yuhan Tóth, Roland The Harbin Institute of Technology Department of Control Science and Engineering Harbin China The Eindhoven University of Tech. Dep. of Electrical Eng. Control Systems Group Eindhoven Netherlands The Institute for Computer Science and Control Budapest Hungary

An important issue in quadcopter control is that an accurate dynamic model of the system is nonlinear, complex, and costly to obtain. This limits achievable control performance in practice. Gaussian process (GP) based estimation is an effective tool to learn unknown dynamics from input/output data. However, conventional GP-based control methods often ignore the computational cost associated with accumulating data during the operation of the system and how to handle forgetting in continuous adaption. In this paper, we present a novel Dual Gaussian Process (DGP) based model predictive control strategy that improves the performance of a quadcopter during trajectory tracking. The bio-inspired DGP structure is a combination of a long-term GP and a short-term GP, where the long-term GP is used to keep the learned knowledge in memory and the short-term GP is employed to rapidly compensate unknown dynamics during online operation. Furthermore, a novel recursive online update strategy for the short-term GP is proposed to successively improve the learnt model during online operation in an efficient way. Numerical simulations are used to demonstrate the effectiveness of the proposed strategy. © 2021, CC BY-NC-SA.

关键词： Model predictive control

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