The huge number of images shared on the Web makes effective cataloguing methods for efficient storage and retrieval procedures specifically tailored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for image tagging with a focus on the needs of database expansion for a news broadcasting company. First, we determine the feasibility of using AIA in such a context with the aim of minimizing an extensive retraining whenever a new tag needs to be incorporated in the tag set population. Then, an image annotation tool integrating a Convolutional Neural Network model (AlexNet) for feature extraction and a K-Nearest-Neighbours classifier for tag assignment to images is introduced and tested. The obtained performances are very promising addressing the proposed approach as valuable to tackle the problem of image tagging in the framework of a broadcasting company, whilst not yet optimal for integration in the business process.
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A formal description of a database consists of the description of the relations (tables) of the database together with the constraints that must hold on the database. Furthermore the contents of a database can be retrieved using queries. These constraints and queries for databases can very well be formalized. A formal description of a constraint or a query is necessary to describe the constraint or query unambiguously. In other words, a formal description leads to one and only one meaning of the constraint or query. To describe constraints and queries in a formal way we use predicate logic, set theory and tuple relational calculus. The tuple relational calculus is a calculus based on the use of tuple variables. A tuple variable is a variable that ranges over a named relation (i.e. a set of tuples of a relation). This paper describes the use of the relational calculus for databases. A description of the formal notation is given as well as a mapping of these expressions to SQL.
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The Material Sample Management Tool is a label generator and database to support creative communities in documenting and sharing material experiments. It was designed around the idea of collaboratively building an archive of alternative design materials with an emphasis on materials that are easily renewable, reusable, (home) compostable within 90 days, locally abundant and make use of local waste streams. The open-source tool, which functions as a collaborative archive as well as label generator to help showcase material experiments, was developed to help any community of creatives (especially students) share them with peers online and offline, and showcase them the physical material wall in their shared workspaces, studios and tool shops.The “Material Sample Management Tool” was developed in 2020-2021 by AUAS computer engineering students Alec Wouda, Sam Overheul, Kostas Mylothridis, Mitchell de Vries and Jarno van der Velde, with wonderful guidance from Okechukwu Onwunli and the teaching team of the Enterprise Web Applications semester course.Entries into the material archive are produced by students in several courses at AUAS.This tool is part of a larger material archiving project funded by NWO by means of a Comenius Teaching Fellowship awarded to senior lecturer and researcher Loes Bogers. In close collaboration with Textile Lab Amsterdam at Waag, a dedicated project team consisting of design educators, researchers and partners at Waag will develop archiving tools for sharing research into sustainable design materials in higher education. The project is inspired by, and a continuation of the Material Archive developed at Waag by Cecilia Raspanti, Maria Viftrup and other (2017-2019). The project will run until January 2022.The project is further supported by the AUAS learning community on Critical Making and Research through Design: a partnership between the Amsterdam Fashion Institute and various research groups at the Amsterdam University of Applied Sciences: Fashion Research & Technology Visual Methodologies Collective Play and Civic MediaCC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0)
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Het begon als een overzichtskaartje met Nederlandse onderzoekslocaties van doorlatende verharding en wadi's. Tien jaar later is Climatescan uitgegroeid tot de grootste internationale interactieve database voor klimaatadaptatieve maatregelen.
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Met ingang van de Omgevingswet op 1 januari 2024 wordt de ruimtelijke ordening geregeld doormiddel van de omgevingsplannen. Gemeenten hebben tot 2032 om over te stappen op het Digitale Stelsel Omgevingswet (DSO) en om een definitief omgevingsplan op te stellen. Nu is Archeologie Deventer, net als andere gemeenten zoals Leiden en Amersfoort, bezig met het voorbereiden van alle data en kaartmateriaal met betrekking tot het culturele erfgoed. Deze zullen samen met de omgangsregels overgezet worden naar het definitieve omgevingsplan. Dit project betreft een data-analyse, van de benodigde data, en een onderzoek naar de Omgevingswet en de DSO met betrekking tot het gereedstellen van de data en wat de eisen hieraan zijn. Aan het hand van dit onderzoek kan er antwoord gegeven worden op de hoofdvraag “Wat is een efficiënte manier om het proces van database naar erfgoedkaart met FME in te richten binnen de kaders van de Omgevingswet?”. Aan de hand van deze resultaten is er een gegevensmodel opgesteld, in het programma FME, dat alle datatabellen automatisch kan inlezen en omzetten tot complete kaartlagen voor de erfgoedkaart waar alle kaarten worden voorbereid.
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The analysis of regulatory regions in genome sequences is strongly based on the detection of potential transcription factor binding sites. The preferred models for representation of transcription factor binding specificity have been termed position-specific scoring matrices. JASPAR is an open-access database of annotated, high-quality, matrix-based transcription factor binding site profiles for multicellular eukaryotes. The profiles were derived exclusively from sets of nucleotide sequences experimentally demonstrated to bind transcription factors. The database is complemented by a web interface for browsing, searching and subset selection, an online sequence analysis utility and a suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. JASPAR is available at http://jaspar. cgb.ki.se.
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In dit artikel een toepassing van een segmentatietechniek die gebruikt kan worden binnen Direct Marketing of liever Interactieve Marketing. Door middel van selectie van profielen op basis van consumentenvoorkeuren kan een database geaggregeerd worden en kan er één op één marketing worden bedreven.
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Phylogenetic patterns show the presence or absence of certain genes in a set of full genomes derived from different species. They can also be used to determine sets of genes that occur only in certain evolutionary branches. Previously, we presented a database named PhyloPat which allows the complete Ensembl gene database to be queried using phylogenetic patterns. Here, we describe an updated version of PhyloPat which can be queried by an improved web server. We used a single linkage clustering algorithm to create 241 697 phylogenetic lineages, using all the orthologies provided by Ensembl v49. PhyloPat offers the possibility of querying with binary phylogenetic patterns or regular expressions, or through a phylogenetic tree of the 39 included species. Users can also input a list of Ensembl, EMBL, EntrezGene or HGNC IDs to check which phylogenetic lineage any gene belongs to. A link to the FatiGO web interface has been incorporated in the HTML output. For each gene, the surrounding genes on the chromosome, color coded according to their phylogenetic lineage can be viewed, as well as FASTA files of the peptide sequences of each lineage. Furthermore, lists of omnipresent, polypresent, oligopresent and anticorrelating genes have been included. PhyloPat is freely available at http://www.cmbi.ru.nl/phylopat. © 2008 The Author(s).
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