cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Open Quantum Random Walks and the Mean Hitting Time Formula
Creators: name: Lardizabal, Carlos F.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We make use of the Open Quantum Random Walk setting due to S. Attal, F. Petruccione, C. Sabot and I. Sinayskiy [J. Stat. Phys. (2012) 147:832-852] in order to discuss hitting times and a quantum version of the Mean Hitting Time Formula from classical probability theory. We study an open quantum notion of hitting probability on a finite collection of sites and with this we are able to describe the problem in terms of linear maps and its matrix representations. After setting an open quantum version of the fundamental matrix for ergodic Markov chains we are able to prove our main result and as consequence a version of the Random Target Lemma. We also study a mean hitting time formula in terms of the minimal polynomial associated to the matrix representation of the quantum walk. We discuss applications of the results to open quantum dynamics on graphs together with open questions.
description: Final version, accepted for publication
Automated Linear Function Submission-based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers' Electricity Network
Creators: name: Taniguchi, Tadahiro
name: Kawasaki, Koki
name: Fukui, Yoshiro
name: Takata, Tomohiro
name: Yano, Shiro
Publisher: name: arXiv
Year: 2015
Subjects: subject: Systems and Control (eess.SY)
subject: Multiagent Systems (cs.MA)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: A linear function submission-based double-auction (LFS-DA) mechanism for a regional electricity network is proposed in this paper. Each agent in the network is equipped with a battery and a generator. Each agent simultaneously becomes a producer and consumer of electricity, i.e., a prosumer and trades electricity in the regional market at a variable price. In the LFS-DA, each agent uses linear demand and supply functions when they submit bids and asks to an auctioneer in the regional market.The LFS-DA can achieve an exact balance between electricity demand and supply for each time slot throughout the learning phase and was shown capable of solving the primal problem of maximizing the social welfare of the network without any central price setter, e.g., a utility or a large electricity company, in contrast with conventional real-time pricing (RTP). This paper presents a clarification of the relationship between the RTP algorithm derived on the basis of a dual decomposition framework and LFS-DA. Specifically, we proved that the changes in the price profile of the LFS-DA mechanism are equal to those achieved by the RTP mechanism derived from the dual decomposition framework except for a constant factor.
Solar Electricity in Africa: Overcoming Barriers and Lessons (Which May Be) Learnt from Previous Experiences in Europe
Creators: name: Virtuani, A.
name: Agostinelli, G.
Publisher: name: WIP
Year: 2018
Subjects: PV Economics, Markets and Policies
PV-Related Policies, Strategies and Societal Issues

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2143-2148
description: In this work, by addressing the different phases in the realization of a solar project, we use images to make concrete examples and drive a parallel between the market dynamics happened in Europe in the recent past (15-5 years) and what is presently happening in several African countries today. A strong focus on quality should enable the involvement of financial institutions (banks, microcredit and insurances) in the solar sector. Therefore, promoting a virtuous cycle leading to project risks’ mitigation, facilitation of access to credit and increase perception and awareness in solar electricity. In short, making solar projects bankable. In our vision, a multi-step approach to the bankability of solar projects in the rooftop sector should be articulated as follows: (1) focus on international standards (and best practices) whenever is possible; (2) adoption/development of high quality training to achieve a minimum level of knowledge/skills for professionals and trigger the learning processes that are of great relevance to the industry; (3) implement at local level institutions able to perform minimal quality checks of components (e.g. testing laboratories) and systems acting as a trustable and respected third party; (4) design incentive schemes or clear regulations aimed at avoiding the unhealthy market dynamics that have characterized the early adoption of this technology in Europe.
Performance of a Remote Hybrid PV System Based on Real and Modelled Data in Indonesia
Creators: name: Kunaifi, K.
name: Reinders, A.H.M.E.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2060-2065
description: This paper is aimed at assessing the performance of a remote hybrid PV/diesel system located on the
Island of Kri in Papua, Indonesia. For this purpose, monitoring data of electrical variables at 5 minutes recording
intervals were used. Using the INSEL simulation environment, in-plane irradiance (Gi) was modeled from global
horizontal irradiance (Gh) data from five weather stations at various distances from the hybrid PV system. Also, PV
module temperature (Tm) was predicted from ambient temperature (Ta) and wind speed (v) according to the Sandia
model for module temperature. The performance of the PV element of the hybrid system was compared with data from
another PV system in Jayapura (also in Papua) which is grid-connected. We found that the performance ratio (PR) of
the PV systems in Kri and Jayapura during the observation period were 41% and 90%, respectively. We also found that
data from remote weather stations with a distance of up to 100 km from the reference PV system could be used to get
the same PR values. However, with greater distance, the PR deviates non-linearly in the range of 20% to 50%, which
is in line with previous findings indicating no correlation occurs. Our advice is, therefore, to apply local irradiance
monitoring at PV sites instead of extrapolating irradiance over significant distances.
Sector Coupling in Europe to Reach the Climate Change Mitigation Goals by 2050
Creators: name: Leonhard, M.-C.
name: Kamberaj, M.
name: Te Heesen, H.
Publisher: name: WIP
Year: 2018
Subjects: PV Economics, Markets and Policies
PV-Related Policies, Strategies and Societal Issues

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2104-2108
description: The 2015 United Nations Climate Change Conference negotiated a global agreement on the reduction of
greenhouse gas emissions. Europe must transform its energy system from mainly fossil power plants to renewable ones
in order to reach the climate change mitigation goals by 2050. In particular, wind turbines, photovoltaic systems and
the use of biomass can contribute to fulfill the demand of residential, commercial and industrial consumers regarding
electric power, heat and transportation. We have developed a simulation model to derive the energy production, exchange
and demand in 39 European countries taking different scenarios of bioenergy potential usage into account.
Annually, 31.7 GW/a of onshore wind turbines, 35.9 GW/a of offshore wind turbines and 100.2 GW/a photovoltaic
systems (roof-top and ground-mounted) have to be installed to transform the European energy systems by 2050. The
total installed power plant capacity must increase from 0.9 TW in 2017 to 5.7 TW in case of 40 percent usage of the
biomass potential. Out model shows that the transformation process of the energy system in Europe must be accelerated
significantly. Then, the climate change mitigation goals can be reached.
Long Term Effects of Small Random Perturbations on Dynamical Systems: Theoretical and Computational Tools
Creators: name: Grafke, Tobias
name: Schaefer, Tobias
name: Vanden-Eijnden, Eric
Publisher: name: arXiv
Year: 2016
Subjects: subject: Numerical Analysis (math.NA)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Small random perturbations may have a dramatic impact on the long time evolution of dynamical systems, and large deviation theory is often the right theoretical framework to understand these effects. At the core of the theory lies the minimization of an action functional, which in many cases of interest has to be computed by numerical means. Here we review the theoretical and computational aspects behind these calculations, and propose an algorithm that simplifies the geometric minimum action method to minimize the action in the space of arc-length parametrized curves. We then illustrate this algorithm's capabilities by applying it to various examples from material sciences, fluid dynamics, atmosphere/ocean sciences, and reaction kinetics. In terms of models, these examples involve stochastic (ordinary or partial) differential equations with multiplicative or degenerate noise, Markov jump processes, and systems with fast and slow degrees of freedom, which all violate detailed balance, so that simpler computational methods are not applicable.
Data-Filtering-Dependent Variability of Long-Term Degradation Rates of MW-Scale Photovoltaic Power Plants from “Non-Ideal” Monitoring and Weather Data
Creators: name: Camus, C.
name: Hüttner, M.
name: Lassahn, D.
name: Kurz, C.
name: Hauch, J.
name: Brabec, C.J.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2069-2074
description: In contrast to research photovoltaic (PV) systems, commercial PV systems are usually not equipped with sophisticated weather metrology and quite frequently even lack an irradiance sensor. Still, the determination of their degradation rate is of paramount importance for the plant owners. This paper compares various approaches to determine the degradation rates of commercial MW-scale PV systems from such “non-ideal” data sets as they are frequently obtained from monitoring data. In particular, the use of model-based irradiance and temperature data is evaluated and several novel methods for data filtering are introduced. It is investigated, for which weather conditions the use of externally weather station data is superior to on-site data. By reducing the data set to mostly sunny conditions, reliable DRs can be determined. Furthermore, the data scattering can be reduced significantly so that sudden performance drops or changes in the DRs become visible, which were previously masked by scattering and data drifts. These results demonstrate that significantly different DRs and uncertainties are obtained depending on the method of data filtering. Hence, care must be taken, when deriving DRs from “non-ideal” monitoring and weather data and when comparing DRs determined by different methods.
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals
Creators: name: Taniguchi, Tadahiro
name: Nakashima, Ryo
name: Nagasaka, Shogo
Publisher: name: arXiv
Year: 2015
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Human infants can discover words directly from unsegmented speech signals without any explicitly labeled data. In this paper, we develop a novel machine learning method called nonparametric Bayesian double articulation analyzer (NPB-DAA) that can directly acquire language and acoustic models from observed continuous speech signals. For this purpose, we propose an integrative generative model that combines a language model and an acoustic model into a single generative model called the "hierarchical Dirichlet process hidden language model" (HDP-HLM). The HDP-HLM is obtained by extending the hierarchical Dirichlet process hidden semi-Markov model (HDP-HSMM) proposed by Johnson et al. An inference procedure for the HDP-HLM is derived using the blocked Gibbs sampler originally proposed for the HDP-HSMM. This procedure enables the simultaneous and direct inference of language and acoustic models from continuous speech signals. Based on the HDP-HLM and its inference procedure, we developed a novel double articulation analyzer. By assuming HDP-HLM as a generative model of observed time series data, and by inferring latent variables of the model, the method can analyze latent double articulation structure, i.e., hierarchically organized latent words and phonemes, of the data in an unsupervised manner. The novel unsupervised double articulation analyzer is called NPB-DAA. The NPB-DAA can automatically estimate double articulation structure embedded in speech signals. We also carried out two evaluation experiments using synthetic data and actual human continuous speech signals representing Japanese vowel sequences. In the word acquisition and phoneme categorization tasks, the NPB-DAA outperformed a conventional double articulation analyzer (DAA) and baseline automatic speech recognition system whose acoustic model was trained in a supervised manner.
description: 15 pages, 7 figures, Draft submitted to IEEE Transactions on Autonomous Mental Development (TAMD)
Pardalotus melanocephalus subsp. melvillensis Mathews
Creators: name: Pachycephalidae
name: Aegithalidae
name: Remizidae
name: Paridae
name: Sittidae
name: Neosittidae
name: Certhiidae
name: Rhabdornithidae
name: Climacteridae
name: Dicaeidae
name: Pardalotidae
name: Nectariniidae, And
name: Lecroy, Mary
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Aves
Passeriformes
Pardalotidae
Pardalotus

description: Pardalotus melanocephalus melvillensis Mathews Pardalotus melanocephalus melvillensis Mathews, 1912b: 48 (Melville Island, Northern Territory). Now Pardalotus striatus melvillensis Mathews, 1912. See Schodde and Mason, 1999: 128–131, and Woinarski, 2008: 401. HOLOTYPE: AMNH 699030, adult male, collected at Cooper’s Camp, Apsley Strait, 11.35S, 130.28E (USBGN, 1957), Melville Island, Northern Territory, Australia, on 22 October 1911, by J.P. Rogers (no. 2251). From the Mathews Collection (no. 10648) via the Rothschild Collection. COMMENTS: Mathews cited his catalog number of the holotype in the original description and gave the range of melvillensis as Melville Island. The holotype bears, in addition to Rogers’ label, Mathews and Rothschild type labels. Mathews (1912b: 26) noted that Rogers had forwarded to him two collections from Melville Island; these included specimens collected in 1911. The following specimens, all from Cooper’s Camp, Apsley Strait, are paratypes: AMNH 699029 (Mathews no. 10652, Rogers no. 2489), male, 23 November 1911; AMNH 699031 (11560, 2606), male, 9 December 1911; AMNH 699032 (11561, 2617), male, 11 December 1911; AMNH 699033 (11559, 2551), male, 29 November 1911; AMNH 699035 (10650, 2249), female, 22 October 1911; AMNH 699036 (10651, 2250), female, 22 October 1911; AMNH 699039 (10649, 2235), unsexed, 20 October 1911.
description: Published as part of Pachycephalidae, Aegithalidae, Remizidae, Paridae, Sittidae, Neosittidae, Certhiidae, Rhabdornithidae, Climacteridae, Dicaeidae, Pardalotidae, Nectariniidae, And & Lecroy, Mary, 2010, Type Specimens Of Birds In The American Museum Of Natural History Part 8. Passeriformes:, pp. 1-178 in Bulletin of the American Museum of Natural History 2010 (333) on pages 129-130
description: {"references": ["Mathews, G. M. 1912 b. Additions and corrections to my reference list to the birds of Australia. Austral Avian Record 1: 25 - 52.", "Schodde, R., and I. J. Mason. 1999. The directory of Australian birds. Passerines. Collingwood, Victoria: CSIRO Publishing, 851 pp.", "Woinarski, J. C. Z. 2008. Family Pardalotidae (pardalotes). In J. del Hoyo, A. Elliott, and D. Christie (editors), Handbook of birds of the world, volume 13: 390 - 401. Barcelona: Lynx Edicions, 880 pp., 60 pls., 536 photographs."]}
Environment-induced quantum coherence spreading of a qubit
Creators: name: Pozzobom, Mauro B.
name: Maziero, Jonas
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We make a thorough study of the spreading of quantum coherence (QC), as quantified by the $l_{1}$-norm QC, when a qubit (a two-level quantum system) is subjected to noise quantum channels commonly appearing in quantum information science. We notice that QC is generally not conserved and that even incoherent initial states can lead to transitory system-environment QC. We show that for the amplitude damping channel the evolved total QC can be written as the sum of local and non-local parts, with the last one being equal to entanglement. On the other hand, for the phase damping channel (PDC) entanglement does not account for all non-local QC, with the gap between them depending on time and also on the qubit's initial state. Besides these issues, the possibility and conditions for time invariance of QC are regarded in the case of bit, phase, and bit-phase flip channels. Here we reveal the qualitative dynamical inequivalence between these channels and the PDC and show that the creation of system-environment entanglement does not necessarily imply in the destruction of the qubit's QC. We also investigate the resources needed for non-local QC creation, showing that while the PDC requires initial coherence of the qubit, for some other channels non-zero population of the excited state (i.e., energy) is sufficient. Related to that, considering the depolarizing channel we notice the qubit's ability to act as a catalyst for the creation of joint QC and entanglement, without need for nonzero initial QC or excited state population.
Influence of the Irradiance on the Detection and Performance of PID-Affected PV-Modules
Creators: name: Buerhop-Lutz, C.
name: Pickel, T.
name: Wenz, F.
name: Zetzmann, C.
name: Hauch, J.
name: Camus, C.
name: Brabec, C.J.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2001-2004
description: Potential induced degradation (PID) is still a severe problem in many PV-installations and a huge financial
risk for investors and plant-owners if not detected early. In previous investigations it was shown that thermography,
conducted with handheld or drone mounted IR-cameras, is a fast and reliable tool to detect PID affected PV-modules on
site and estimate their remaining electrical power during normal plant operation. In this work we show how to improve the
sensitivity of IR- and various other imaging techniques by using the characteristic behavior of PID affected cells regarding
the different excitation forces, i.e. solar irradiance for IR- and electric current for DLIT- and EL-measurements.
Furthermore, we address the implications of this specific behavior by simulating the energy yield of several PID affected
PV-strings based on real monitoring data for two inspected sites and suggest carrying out the measurements on site- and
under failure- relevant conditions rather than standard test conditions.
Low-Cost Electroluminescence System for Infield PV Modules
Creators: name: Abdullah Eissa, M.
name: Almeida Silva, J.
name: Serra, J.M.
name: Bassiuny, A.M.
name: Lobato, K.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2010-2013
description: As the installation of PV systems continues to decrease, the weight of the operation and maintenance
in the cost structure of systems will become an ever increasing factor. The significant challenges are to maximise
electrical energy production by reducing system downtime for planned and unplanned maintenance.
Electroluminescence (EL) is becoming an important on-site/infield characterization technique for PV modules.
However, proposed high-end EL systems may be too prohibitively expensive, eg, for small systems or low-income
areas. This paper demonstrates the principles a low-cost EL system for crystalline PV modules. A consumer grade
camera system (camera and lens) was modified by removal of the IR filter to allow for the band-to-band luminescent
spectra to arrive at the CCD sensor. To remove background visible light, a bandpass filter tuned to approximately
the luminescent spectra of silicon (1100+/-10nm) was placed before the camera lens. Open-source digital imaging
processing techniques were then employed to correct geometrical image distortions and to enhance image quality.
The effectiveness of the proposed system is demonstrated under three controlled conditions; indoor completely
dark, indoor with controlled background lighting and, outdoor urban night-time. The system allowed for acquisition
of high resolution EL images of PV modules in a matter of minutes. The quality of the images under the differing
conditions are comparable. Easily visible were cracks in individual cells and also non-functioning cells of a
purposefully damaged PV module.
Symbol Emergence in Robotics: A Survey
Creators: name: Taniguchi, Tadahiro
name: Nagai, Takayuki
name: Nakamura, Tomoaki
name: Iwahashi, Naoto
name: Ogata, Tetsuya
name: Asoh, Hideki
Publisher: name: arXiv
Year: 2015
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people. It is very important to obtain a computational understanding of how humans can form a symbol system and obtain semiotic skills through their autonomous mental development. Recently, many studies have been conducted on the construction of robotic systems and machine-learning methods that can learn the use of language through embodied multimodal interaction with their environment and other systems. Understanding human social interactions and developing a robot that can smoothly communicate with human users in the long term, requires an understanding of the dynamics of symbol systems and is crucially important. The embodied cognition and social interaction of participants gradually change a symbol system in a constructive manner. In this paper, we introduce a field of research called symbol emergence in robotics (SER). SER is a constructive approach towards an emergent symbol system. The emergent symbol system is socially self-organized through both semiotic communications and physical interactions with autonomous cognitive developmental agents, i.e., humans and developmental robots. Specifically, we describe some state-of-art research topics concerning SER, e.g., multimodal categorization, word discovery, and a double articulation analysis, that enable a robot to obtain words and their embodied meanings from raw sensory--motor information, including visual information, haptic information, auditory information, and acoustic speech signals, in a totally unsupervised manner. Finally, we suggest future directions of research in SER.
description: submitted to Advanced Robotics
Использование дистанционной формы проведения вступительных испытаний на факультете заочного обучения в Барнаульском юридическом институте МВД России
Creators: name: Кирюшин Иван Иванович
name: Осинцева Людмила Михайловна
Publisher: name: Психопедагогика в правоохранительных органах
Year: 2020
Subjects: информатизация; дистанционные образовательные технологии; банк тестов; идентификация; дистанционные вступительные испытания; дистанционное обучение; обучение сотрудников полиции; подготовка кадров

description: Введение. Возрастает роль самостоятельной работы обучающихся, и особую значимость в образовательной деятельности приобретают формы и методы работы, эффективно стимулирующие самостоятельную деятельность и творческий подход обучающихся к образовательному процессу. Цель — раскрыть концептуальные особенности дистанционных вступительных испытаний с использованием программного обеспечения Moodle. Материалы и методы. Проведен сравнительный анализ за два года между традиционными вступительными экзаменами (2017 г.) и дистанционными вступительными испытаниями с применением программного обеспечения Moodle (2018 г.) на базе Барнаульского юридического института МВД России. Результаты и обсуждение. Раскрываются преимущества системы Moodle, которые позволяют обучающимся воспринимать друг друга, взаимодействовать, обмениваться информацией, реализовывать свои коммуникативные качества, а также приведено произвольное количество интерактивных ресурсов курса. Описан алгоритм проведения процедуры вступительных испытаний с применением дистанционных технологий. Обозначены проблемы, возникающие при проведении дистанционных вступительных испытаний. Показан сравнительный анализ за 2017–2018 гг. проведения вступительных испытаний между традиционной формой проведения вступительных испытаний и дистанционной. Выявлены основные проблемы при прохождении дистанционных вступительных испытаний при поступлении на факультет заочного отделения с использованием программного обеспечения Moodle. Выводы. Раскрыты концептуальные особенности дистанционных вступительных испытаний с использованием программного обеспечения Moodle, и выявлены преимущества их перед традиционными вступительными экзаменами. На сегодняшний день в Барнаульском юридическом институте МВД России данный опыт признан положительным и рекомендован к применению в последующие годы.
Image Processing for Daylight Electroluminescence PV Imaging Acquired in Movement
Creators: name: Dos Reis Benatto, G.A.
name: Mantel, C.
name: Santamaria Lancia, A.A.
name: Graversen, M.
name: Riedel, N.
name: Thorsteinsson, S.
name: Poulsen, P.B.
name: Forchhammer, S.
name: Parikh, H.
name: Spataru, S.
name: Sera, D.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 2005-2009
description: Regular photovoltaic (PV) system inspections have become a challenge with the significant growth in the number of modules and peak power capacity of PV installations. Image acquisition using drones, based on visual, thermographic, and more recently luminescence, can be a viable solution for large-scale PV inspections. As luminescence can provide a highly detailed and accurate PV module failure diagnosis, the development of a daylight electroluminescence (EL) imaging capability is of high importance. EL imaging performed in the field during the day requires the enhancement of the relatively weak luminescence signal over the noise from the sun. This is accomplished by image averaging and background subtraction, which requires the highly accurate registering of the of individual module images. A sequential EL image acquisition at high frame rates in continuous motion at different angles will be the real-world situation for a drone-based PV inspection in daylight, and to account for this movement while maintaining high quality images, several image processing steps must be developed. With this motivation, here we describe and perform EL image processing on a module with different faults to assure quality of the EL images in different motion speeds.
Extremal Black Holes in Dynamical Chern-Simons Gravity
Creators: name: McNees, Robert
name: Stein, Leo C.
name: Yunes, Nicolás
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Rapidly rotating black hole solutions in theories beyond general relativity play a key role in experimental gravity, as they allow us to compute observables in extreme spacetimes that deviate from the predictions of general relativity. Such solutions are often difficult to find in beyond-general-relativity theories due to the inclusion of additional fields that couple to the metric non-linearly and non-minimally. In this paper, we consider rotating black hole solutions in one such theory, dynamical Chern-Simons gravity, where the Einstein-Hilbert action is modified by the introduction of a dynamical scalar field that couples to the metric through the Pontryagin density. We treat dynamical Chern-Simons gravity as an effective field theory and work in the decoupling limit, where corrections are treated as small perturbations from general relativity. We perturb about the maximally-rotating Kerr solution, the so-called extremal limit, and develop mathematical insight into the analysis techniques needed to construct solutions for generic spin. First we find closed-form, analytic expressions for the extremal scalar field, and then determine the trace of the metric perturbation, giving both in terms of Legendre decompositions. Retaining only the first three and four modes in the Legendre representation of the scalar field and the trace, respectively, suffices to ensure a fidelity of over 99% relative to full numerical solutions. The leading-order mode in the Legendre expansion of the trace of the metric perturbation contains a logarithmic divergence at the extremal Kerr horizon, which is likely to be unimportant as it occurs inside the perturbed dynamical Chern-Simons horizon. The techniques employed here should enable the construction of analytic, closed-form expressions for the scalar field and metric perturbations on a background with arbitrary rotation.
description: 25+9 pages (single column), 10 figures, 1 table; matches published version
Multimodal Hierarchical Dirichlet Process-based Active Perception
Creators: name: Taniguchi, Tadahiro
name: Takano, Toshiaki
name: Yoshino, Ryo
Publisher: name: arXiv
Year: 2015
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In this paper, we propose an active perception method for recognizing object categories based on the multimodal hierarchical Dirichlet process (MHDP). The MHDP enables a robot to form object categories using multimodal information, e.g., visual, auditory, and haptic information, which can be observed by performing actions on an object. However, performing many actions on a target object requires a long time. In a real-time scenario, i.e., when the time is limited, the robot has to determine the set of actions that is most effective for recognizing a target object. We propose an MHDP-based active perception method that uses the information gain (IG) maximization criterion and lazy greedy algorithm. We show that the IG maximization criterion is optimal in the sense that the criterion is equivalent to a minimization of the expected Kullback--Leibler divergence between a final recognition state and the recognition state after the next set of actions. However, a straightforward calculation of IG is practically impossible. Therefore, we derive an efficient Monte Carlo approximation method for IG by making use of a property of the MHDP. We also show that the IG has submodular and non-decreasing properties as a set function because of the structure of the graphical model of the MHDP. Therefore, the IG maximization problem is reduced to a submodular maximization problem. This means that greedy and lazy greedy algorithms are effective and have a theoretical justification for their performance. We conducted an experiment using an upper-torso humanoid robot and a second one using synthetic data. The experimental results show that the method enables the robot to select a set of actions that allow it to recognize target objects quickly and accurately. The results support our theoretical outcomes.
description: submitted
Quantum plasmonic waveguides: Au nanowires
Creators: name: Cordaro, C. E. A.
name: Piccitto, G.
name: Priolo, F.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Combining miniaturization and good operating speed is a compelling yet crucial task for our society. Plasmonic waveguides enable the possibility of carrying information at optical operating speed while maintaining the dimension of the device in the nanometer range. Here we present a theoretical study of plasmonic waveguides extending our investigation to structures so small that Quantum Size Effects (QSE) become non negligible, namely quantum plasmonic waveguides. Specifically, we demonstrate and evaluate a blue-shift in Surface Plasmon (SP) resonance energy for an ultra-thin gold nanowire.
Local Variability in PV Soiling Rate
Creators: name: Gostein, M.
name: Passow, K.
name: Deceglie, M.G.
name: Micheli, L.
name: Stueve, B.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Operation, Performance and Maintenance of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 1979-1983
description: We explore local and hyper-local variability in PV soiling rate by examining the correlation between PV
system soiling rates over a multi-year period within two groups of First Solar soiling stations in separate regions of
California. The results demonstrate significant seasonal variations in monthly-averaged soiling rates, with soiling
varying from near 0 to ~0.1%/day in different months and with seasonal patterns that differ between sites. Monthly
patterns at nearby sites were more highly correlated, suggesting that soiling rates can be strongly affected by local
geography and weather. For the two regions studied, soiling rate pattern correlation diminished beyond a distance on
the order of 50 km. In addition, for selected sites we demonstrate within-site variation in soiling rate of up to ~1.5-2x,
which may be correlated with proximity to nearby agricultural activity.
Replica Symmetry Breaking without Replicas
Creators: name: Franchini, Simone
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences
subject: F.1.3; F.2.0; F.2.3
subject: 82D30, 60F10

description: We introduce a mathematical framework based on simple combinatorial arguments (Kernel Representation) that allows to deal successfully with spin glass problems, among others. Let $Ω^{N}$ be the space of configurations of an $N-$ spins system, each spin having a finite set $Ω$ of inner states, and let $μ:Ω^{N}\rightarrow\left[0,1\right]$ be some probability measure. Here we give an argument to encode $μ$ into a kernel function $M:\left[0,1\right]^{2}\rightarrowΩ$, and use this notion to reinterpret the assumptions of the Replica Symmetry Breaking ansatz (RSB) of Parisi et Al. [1, 2], without using replicas, nor averaging on the disorder.
description: 57 pages, 14 figures
An Empirical Techno-Commercial Assessment of Inverter DC Loading of Photovoltaic Assets in Asian Locations
Creators: name: Nobre, A.M.
name: Tan, J.
name: Karthik, S.
name: Baker, R.S.
name: Malhotra, R.
name: Khor, A.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Design and Installation of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 1919-1923
description: PV system performance of Asian assets is a novel frontier. Established markets in Europe, USA and Japan are no longer dominating most new installations coming online. With new systems deployment comes learning curve mistakes on the design front, which could include overloading the DC inputs of inverters to minimize capital expenditure on site. This work addresses real-world examples of “inverter clipping” due to DC overloading situations at PV systems deployed in Asia. It is demonstrated that the use of design techniques from temperate climate PV systems cannot be directly implemented in other parts of the world without considering local conditions, which for Asian locations includes high irradiance levels year-round. DC-to-AC loading ratios of 1.2-1.4 can cause unwanted losses of revenue beyond typical business expectations. Singapore and Cambodia tested PV systems demonstrated inverter “clipping” losses of a few percentage points. For the tested Singapore case, deploying more inverters would have made financial sense only after a payback period of ~7.5 years, which nearly approximates the lifetime of inverters in business plan simulations. Business model strategies may dictate PV system design outcomes irrespective of high-performing PV system performance optimization at sites.
Bayesian Body Schema Estimation using Tactile Information obtained through Coordinated Random Movements
Creators: name: Mimura, Tomohiro
name: Hagiwara, Yoshinobu
name: Taniguchi, Tadahiro
name: Inamura, Tetsunari
Publisher: name: arXiv
Year: 2016
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper describes a computational model, called the Dirichlet process Gaussian mixture model with latent joints (DPGMM-LJ), that can find latent tree structure embedded in data distribution in an unsupervised manner. By combining DPGMM-LJ and a pre-existing body map formation method, we propose a method that enables an agent having multi-link body structure to discover its kinematic structure, i.e., body schema, from tactile information alone. The DPGMM-LJ is a probabilistic model based on Bayesian nonparametrics and an extension of Dirichlet process Gaussian mixture model (DPGMM). In a simulation experiment, we used a simple fetus model that had five body parts and performed structured random movements in a womb-like environment. It was shown that the method could estimate the number of body parts and kinematic structures without any pre-existing knowledge in many cases. Another experiment showed that the degree of motor coordination in random movements affects the result of body schema formation strongly. It is confirmed that the accuracy rate for body schema estimation had the highest value 84.6% when the ratio of motor coordination was 0.9 in our setting. These results suggest that kinematic structure can be estimated from tactile information obtained by a fetus moving randomly in a womb without any visual information even though its accuracy was not so high. They also suggest that a certain degree of motor coordination in random movements and the sufficient dimension of state space that represents the body map are important to estimate body schema correctly.
Online Placement of Multi-Component Applications in Edge Computing Environments
Creators: name: Wang, Shiqiang
name: Zafer, Murtaza
name: Leung, Kin K.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Data Structures and Algorithms (cs.DS)
subject: Networking and Internet Architecture (cs.NI)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Mobile edge computing is a new cloud computing paradigm which makes use of small-sized edge-clouds to provide real-time services to users. These mobile edge-clouds (MECs) are located in close proximity to users, thus enabling users to seamlessly access applications running on MECs. Due to the co-existence of the core (centralized) cloud, users, and one or multiple layers of MECs, an important problem is to decide where (on which computational entity) to place different components of an application. This problem, known as the application or workload placement problem, is notoriously hard, and therefore, heuristic algorithms without performance guarantees are generally employed in common practice, which may unknowingly suffer from poor performance as compared to the optimal solution. In this paper, we address the application placement problem and focus on developing algorithms with provable performance bounds. We model the user application as an application graph and the physical computing system as a physical graph, with resource demands/availabilities annotated on these graphs. We first consider the placement of a linear application graph and propose an algorithm for finding its optimal solution. Using this result, we then generalize the formulation and obtain online approximation algorithms with polynomial-logarithmic (poly-log) competitive ratio for tree application graph placement. We jointly consider node and link assignment, and incorporate multiple types of computational resources at nodes.
description: This is the author's version of the paper accepted for publication in IEEE Access
Comparison between Central and String Inverters Performance for the Utility-Scale PV Plant in Nova Olinda Brazil
Creators: name: Nobile, G.
name: Cacciato, M.
name: Scarcella, G.
name: Scelba, G.
name: Di Stefano, A.G.F.
name: Leotta, G.
name: Pugliatti, P.M.
name: Bizzarri, F.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Design and Installation of PV Systems

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 1935-1941
description: One of the most considered solutions to improve the performance of PV plants is the adoption of
distributed power converters. The evaluation of the performance increasing by using string inverters or optimizers
instead of central inverters in utility-scale PV fields is usually a difficult task due to several reasons such as numerous
partial unavailabilities, monitoring system issues, operating constraints imposed by the Power Plant Controllers, etc.
To support the data analysis and to forecast the behavior of the PV field under several operating scenarios, a novel
modeling approach addressed to large PV plants with multiple conversion stages has been introduced. This work is
focused on the comparison among central and string converters installed for testing purpose in two different subfields
of the Enel Green Power 300 MW PV plant in Nova Olinda (Brazil). The elaboration of data acquired by the PV plant
monitoring system in some months using the developed model highlights that string inverters ensure a remarkable gain
in terms of produced energy. Anyway, the accurate estimation of such gain requires data for a larger time period in
order to detect the variations due to seasonality. Moreover, the identification of the causes leading to mismatch
phenomenon compensated by string inverters requires further investigations in future works.
Angular equivalence of normed spaces
Creators: name: Kikianty, Eder
name: Sinnamon, Gord
Publisher: name: arXiv
Year: 2016
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 46B

description: Angular equivalence is introduced and shown to be an equivalence relation among the norms on a fixed real vector space. It is a finer notion than the usual (topological) notion of norm equivalence. Angularly equivalent norms share certain geometric properties: A norm that is angularly equivalent to a uniformly convex norm is itself uniformly convex. The same is true for strict convexity. Extreme points of the unit balls of angularly equivalent norms occur on the same rays, and if one unit ball is a polyhedron so is the other. Among norms arising from inner products, two norms are angularly equivalent if and only if they are topological equivalent. But, unlike topological equivalence, angular equivalence is able to distinguish between different norms on a finite-dimensional space. In particular, no two $\ell^p$ norms on $\mathbb R^n$ are angularly equivalent.
description: Article contained some errors
SimZukunft: Studies about Integrating a Large Amount of PV into the Grid of a Small Swiss Town
Creators: name: Pflugradt, N.
name: Muntwyler, U.
Publisher: name: WIP
Year: 2018
Subjects: PV Systems - Performance, Applications and Integration
Grid and Energy System Integration

description: 35th European Photovoltaic Solar Energy Conference and Exhibition; 1865-1869
description: The Swiss people decided in a public vote on phasing out nuclear energy and switching to renewable
energy until 2050. For this change there is a so-called “energy-strategy 2050”. This energy strategy details how exactly
the path from the current energy system to the future energy system will look like, but the detailed impact of those
changes on the low voltage grids in Switzerland hasn’t been researched yet. The “SimZukunft” research project focuses
on that. It evaluates the impact of different scenarios from the official planning documents on the grid of the town
“Burgdorf”. Additionally, two extreme scenarios are evaluated. This paper shows some early results and that it will be
for example possible for the town to become a net-zero-energy town.
FAIR-IMPACT Second Open Call for Route 2 support webinar slides
Creators: name: Davidson, Joy
Publisher: name: Zenodo
Year: 2024

description: These slides were presented during the webinar to introduce FAIR-IMPACT's second open call for Route 2 support. The webinar took place on 31st January, 2024. The webinar provided information about the support actions that are available, what financial support will be made available for each and how to apply. The hour long session also provided information on what is expected of applicants and specific skills and expertise necessary to participate in each offer. There was also time for questions from the participants.  Registration for this webinar was free and open to all.
New bounds for bilinear Calderón-Zygmund operators and applications
Creators: name: Damián, Wendolín
name: Hormozi, Mahdi
name: Li, Kangwei
Publisher: name: arXiv
Year: 2015
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: In this work we extend Lacey's domination theorem to prove the pointwise control of bilinear Calderón--Zygmund operators with Dini--continuous kernel by sparse operators. The precise bounds are carefully tracked following the spirit in a recent work of Hytönen, Roncal and Tapiola. We also derive new mixed weighted estimates for a general class of bilinear dyadic positive operators using multiple $A_{\infty}$ constants inspired in the Fujii-Wilson and Hrusčěv classical constants. These estimates have many new applications including mixed bounds for multilinear Calderón--Zygmund operators and their commutators with $BMO$ functions, square functions and multilinear Fourier multipliers.
description: 35 pages, accepted for publication in Revista Matem\'atica Iberoamericana