Metadata for Energy Disaggregation

Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from individual appliances and the whole-home power demand. Multiple such datasets have been released over the last few years but provide metadata in a disparate array of formats including CSV files and plain-text README files. At best, the lack of a standard metadata schema makes it unnecessarily time-consuming to write software to process multiple datasets and, at worse, the lack of a standard means that crucial information is simply absent from some datasets. We propose a metadata schema for representing appliances, meters, buildings, datasets, prior knowledge about appliances and appliance models. The schema is relational and provides a simple but powerful inheritance mechanism.Comment: To appear in The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS 2014) in V\"aster{\aa}s, Swede

pygen-structures : A Python package to generate 3D molecular structures for simulations using the CHARMM forcefield

pygen-structures is an open source (3-clause BSD license) Python library to generate 3 dimensional structures for molecules from the CHARMM forcefield. Coordinates are generated using an embedding method based on empirical data (Riniker & Landrum (2015), as implemented in the RDKit, The RDKit Contributors (n.d.)), and are written out as standard PSF and PDB files. The package contains convenience functions for generating molecules from a collection of CHARMM residues and patches, or from one letter amino acid codes (usable by calling pygen-structures as a command line application) and a series of classes and functions for representing and manipulating CHARMM data. The chirality of tetrahedral centres is set using internal coordinate data from the residue topology file. Classes provided by pygen-structures include representations of CHARMM residue topology files, which contain information about residues, their atoms and their connectivity; and parameter files, containing the relevant force constants involving sets of atoms. There are also classes which describe residues and patches from topology files, and representations of atoms and molecules. Residues from the forcefield (and molecules created from those residues) can be represented as RDKit Mols, enabling pattern matching of residues to molecules

Object Information Packs as a Base for Information Modelling in Construction

The construction industry is suffering form the existence of isolated islands of software applications and bottle neck solutions. The idea of an integrated virtual database that consists of separated platforms, representing various disciplines, depending on the web technology is envisaged to solve the problem of integration. This paper is about the production and use of OIPs (Object Information Packs) as a part of the construction material product in the form of XML files that include all the technical and commercial data of the product, which might be needed by any discipline in its overall life cycle. This object information pack is neutral and independent of any software application. It is assumed to fit in a building product model at the IFC (resource layer). An example of brick - wall aggregation process is used to demonstrate the capability of the technology and the ability of non computer science experts to use it

Online visualization of bibliography Using Visualization Techniques

Visualization is a concept where we can represent some raw data in the form of graphs, images, charts, etc. which will be very helpful for the end-user to correlate and be able to understand the relationships between the data elements in a single screen. Representing the bibliographic information of the computer science journals and proceedings using Visualization technique would help user choose a particular author and navigate through the hierarchy and find out what papers the author has published, the keywords of the papers, what papers cite them, the co-authors along with the main author, and how many papers are published by the author selected by the user and so on in a single page. These information is right now present in a scattered manner and the user has to search on websites like Google Scholar [1], Cite Seer [2] to get these bibliographic records. By the use of visualization techniques, all the information can be accessed on a single page by having a graph like points on the page, where the user can search for a particular author and the author and its co-authors are represented in the form of points. The goal of this project is to enhance current bibliography web services with an intuitive interactive visualization interface and to improve user understanding and conceptualization. In this project, we develop a simple web-interface which will take a search query from the user and find the related information like author\u27s name, the co-authors, number of papers published by him, related keywords, citations referred etc. The project uses the bibliographic records which are available as XML files from the Citeseer database[2], extracts the data into the database and then queries the database for the results using a web service. The data which is extracted is then presented visually to allow the user to conceptualize the results in a better way and help him/her find the articles of interest with utmost ease. In addition the user can interactively navigate the visual results to get more information about any of the article or the author displayed. So here we present both paper centric view and author centric view to the user by representing data in terms of graphs. The nodes in the graphs obtained for paper centric views and author centric views are color coded based on the paper’s weight parameter ( popularity of the paper ). For the paper centric view, the papers which are referring other papers are represented by providing a directed arrow from referred paper to referenced paper. Overall the idea here was to represent this related data in the form of a tree, so that the user can correlate all the data and get the relationships between them

Single-valued harmonic polylogarithms and the multi-Regge limit

We argue that the natural functions for describing the multi-Regge limit of six-gluon scattering in planar N=4 super Yang-Mills theory are the single-valued harmonic polylogarithmic functions introduced by Brown. These functions depend on a single complex variable and its conjugate, (w,w*). Using these functions, and formulas due to Fadin, Lipatov and Prygarin, we determine the six-gluon MHV remainder function in the leading-logarithmic approximation (LLA) in this limit through ten loops, and the next-to-LLA (NLLA) terms through nine loops. In separate work, we have determined the symbol of the four-loop remainder function for general kinematics, up to 113 constants. Taking its multi-Regge limit and matching to our four-loop LLA and NLLA results, we fix all but one of the constants that survive in this limit. The multi-Regge limit factorizes in the variables (\nu,n) which are related to (w,w*) by a Fourier-Mellin transform. We can transform the single-valued harmonic polylogarithms to functions of (\nu,n) that incorporate harmonic sums, systematically through transcendental weight six. Combining this information with the four-loop results, we determine the eigenvalues of the BFKL kernel in the adjoint representation to NNLLA accuracy, and the MHV product of impact factors to NNNLLA accuracy, up to constants representing beyond-the-symbol terms and the one symbol-level constant. Remarkably, only derivatives of the polygamma function enter these results. Finally, the LLA approximation to the six-gluon NMHV amplitude is evaluated through ten loops.Comment: 71 pages, 2 figures, plus 10 ancillary files containing analytic expressions in Mathematica format. V2: Typos corrected and references added. V3: Typos corrected; assumption about single-Reggeon exchange made explici

Who are you, you who speak? Transducer cascades for information retrieval

International audienceThis paper deals with a survey corpus. We present information retrieval about the speaker. We used finite state transducer cascades and we present here detailed results with an evaluation. This work is part of a French project to enhance the corpus ESLO (sociolinguistic survey taken in the city of Orléans). This survey has been realized in 1968 and the project is to save records in computer format, to transcribe them and to increase the transcription with annotations in XML format. This work was supported by a French ANR contract (ANR-06-CORP-023) and by European fund from Région Centre (FEDER). The corpus represent a collection of 200 interviews with the questions about the life in the city of Orléans: How long have you lived in Orléans for?, What led you to live in Orléans?, Do you like living in Orléans?, etc. and questions about the occupation or the family of the speaker, completed by recordings within a professional or private context. The recording situations are different: interviews, discussions between friends, recordings in microphone hidden, interviews with the political, academic and religious personalities, conversations between a social worker and parents in Psycho Medical Center of Orleans. In total, we have 300 hours of speech estimated to 4,500,000 words. More precisely, we worked on almost 120 transcribed hours representing 112 Transcriber XML files and 32 577 Kb. We worked on 105 files (31 004 Kb) and we evaluated the results on 7 files (1 573 Kb-5.1%). The transcription files have no punctuation marks, but the first letter of proper names is capitalized and acronyms are fully capitalized. We used the CasSys system (Friburger, Maurel, 2004) that computes texts with transducer cascades (Abney, 1996). The cascades we used are hand built: each transducer describes a local grammar for the recognition of some entities. Some times this recognition needs the succession of two or more transducers, in a specific order. More precisely, we used two cascades; the first one, for named entity recognition, was built some years ago for a newspaper corpus and we adapted it to oral corpus in the project; the second one aimed at discovering information about the speaker in three domains: origin (is he/she Orléans city native or where he/she comes from?), family (is he/she married, with children or not?) and occupation (what is his/her occupation? where does he/she work?). We called this information designating entities. This second cascade was specifically built for the project. CasSys computes transducers with Unitex software (Paumier, 2003) that needs to segment the text by preprocessing. For written text, this segmentation usually uses sentence boundary detection (Friburger and al., 2000). In our corpus there is no punctuation. So we have chosen to use XML Transcriber tags to do the segmentation and also to hide the inside of the tag for the named entity task, sometimes ambiguous with context entities (Dister, 2007)

Recommendations for the representation of hierarchical objects in Europeana

The issue of handling hierarchical objects has been always an important topic for Europeana’s network of projects and Data Providers. The implementation of solutions in the Europeana portal has been delayed for a long time mainly due to the fact that complex objects required the development of new functionalities that could not be supported by the Europeana Semantic Elements (ESE) model. Indeed the simplicity and the flatness of this model prevented Data Providers from supplying complex objects