58,580 research outputs found

    pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems

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    pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909. pandapower includes a Newton-Raphson power flow solver formerly based on PYPOWER, which has been accelerated with just-in-time compilation. Additional enhancements to the solver include the capability to model constant current loads, grids with multiple reference nodes and a connectivity check. The pandapower network model is based on electric elements, such as lines, two and three-winding transformers or ideal switches. All elements can be defined with nameplate parameters and are internally processed with equivalent circuit models, which have been validated against industry standard software tools. The tabular data structure used to define networks is based on the Python library pandas, which allows comfortable handling of input and output parameters. The implementation in Python makes pandapower easy to use and allows comfortable extension with third-party libraries. pandapower has been successfully applied in several grid studies as well as for educational purposes. A comprehensive, publicly available case-study demonstrates a possible application of pandapower in an automated time series calculation

    Quantifying Attention Flow in Transformers

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    In the Transformer model, "self-attention" combines information from attended embeddings into the representation of the focal embedding in the next layer. Thus, across layers of the Transformer, information originating from different tokens gets increasingly mixed. This makes attention weights unreliable as explanations probes. In this paper, we consider the problem of quantifying this flow of information through self-attention. We propose two methods for approximating the attention to input tokens given attention weights, attention rollout and attention flow, as post hoc methods when we use attention weights as the relative relevance of the input tokens. We show that these methods give complementary views on the flow of information, and compared to raw attention, both yield higher correlations with importance scores of input tokens obtained using an ablation method and input gradients

    On Zone-Based Analysis of Duration Probabilistic Automata

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    We propose an extension of the zone-based algorithmics for analyzing timed automata to handle systems where timing uncertainty is considered as probabilistic rather than set-theoretic. We study duration probabilistic automata (DPA), expressing multiple parallel processes admitting memoryfull continuously-distributed durations. For this model we develop an extension of the zone-based forward reachability algorithm whose successor operator is a density transformer, thus providing a solution to verification and performance evaluation problems concerning acyclic DPA (or the bounded-horizon behavior of cyclic DPA).Comment: In Proceedings INFINITY 2010, arXiv:1010.611

    Formalizing Mathematical Knowledge as a Biform Theory Graph: A Case Study

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    A biform theory is a combination of an axiomatic theory and an algorithmic theory that supports the integration of reasoning and computation. These are ideal for formalizing algorithms that manipulate mathematical expressions. A theory graph is a network of theories connected by meaning-preserving theory morphisms that map the formulas of one theory to the formulas of another theory. Theory graphs are in turn well suited for formalizing mathematical knowledge at the most convenient level of abstraction using the most convenient vocabulary. We are interested in the problem of whether a body of mathematical knowledge can be effectively formalized as a theory graph of biform theories. As a test case, we look at the graph of theories encoding natural number arithmetic. We used two different formalisms to do this, which we describe and compare. The first is realized in CTTuqe{\rm CTT}_{\rm uqe}, a version of Church's type theory with quotation and evaluation, and the second is realized in Agda, a dependently typed programming language.Comment: 43 pages; published without appendices in: H. Geuvers et al., eds, Intelligent Computer Mathematics (CICM 2017), Lecture Notes in Computer Science, Vol. 10383, pp. 9-24, Springer, 201

    Inter-winding Distributed Capacitance and Guitar Pickup Transient Response

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    Simple RLC circuit models of guitar pickups do not account for audible features that characterize the pickup. Psycho-acoustic experiments reveal that any acoustically accurate model has to reproduce the first 30 milli-seconds of the transient response with extreme precision. The proposed model is impractical for simple-minded model reduction or brute force numerical simulations yet, by focusing on modeling electromagnetic details and exposing a connection to spectral graph theory, a framework for finding the transient response to sufficient accuracy is exposed.Comment: Four pages, no figures. This paper is associated to a conference presentation given at CEFC 2014 in Annecy France; the posted preprint is from October 2014, and the data for the final publication can be found belo

    On the decomposition threshold of a given graph

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    We study the FF-decomposition threshold δF\delta_F for a given graph FF. Here an FF-decomposition of a graph GG is a collection of edge-disjoint copies of FF in GG which together cover every edge of GG. (Such an FF-decomposition can only exist if GG is FF-divisible, i.e. if e(F)e(G)e(F)\mid e(G) and each vertex degree of GG can be expressed as a linear combination of the vertex degrees of FF.) The FF-decomposition threshold δF\delta_F is the smallest value ensuring that an FF-divisible graph GG on nn vertices with δ(G)(δF+o(1))n\delta(G)\ge(\delta_F+o(1))n has an FF-decomposition. Our main results imply the following for a given graph FF, where δF\delta_F^\ast is the fractional version of δF\delta_F and χ:=χ(F)\chi:=\chi(F): (i) δFmax{δF,11/(χ+1)}\delta_F\le \max\{\delta_F^\ast,1-1/(\chi+1)\}; (ii) if χ5\chi\ge 5, then δF{δF,11/χ,11/(χ+1)}\delta_F\in\{\delta_F^{\ast},1-1/\chi,1-1/(\chi+1)\}; (iii) we determine δF\delta_F if FF is bipartite. In particular, (i) implies that δKr=δKr\delta_{K_r}=\delta^\ast_{K_r}. Our proof involves further developments of the recent `iterative' absorbing approach.Comment: Final version, to appear in the Journal of Combinatorial Theory, Series

    Characterization of High Temperature Optocoupler for Power Electronic Systems

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    High-temperature devices have been rapidly increas due to the implementation of new technologies like silicon carbide, high-temperature ceramic, and others. Functionality under elevated temperatures can reduce signal integrity reducing the reliability of power electronic systems. This study presents an ongoing research effort to develop a high-temperature package for optocouplers to operate at higher temperature compared with commercial devices. Low temperature co-fired ceramic (LTCC) was used as the substrate. Bare die commercial LED and photodetectors were attached to the substrate and tested for functionality. Preliminary results show enhanced performance at elevated temperatures compared to a commercial optocoupler device
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