145 resultados para spreadsheets


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The building budgeting quickly and accurately is a challenge faced by the companies in the sector. The cost estimation process is performed from the quantity takeoff and this process of quantification, historically, through the analysis of the project, scope of work and project information contained in 2D design, text files and spreadsheets. This method, in many cases, present itself flawed, influencing the making management decisions, once it is closely coupled to time and cost management. In this scenario, this work intends to make a critical analysis of conventional process of quantity takeoff, from the quantification through 2D designs, and with the use of the software Autodesk Revit 2016, which uses the concepts of building information modeling for automated quantity takeoff of 3D model construction. It is noted that the 3D modeling process should be aligned with the goals of budgeting. The use of BIM technology programs provides several benefits compared to traditional quantity takeoff process, representing gains in productivity, transparency and assertiveness

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Not long ago, most software was written by professional programmers, who could be presumed to have an interest in software engineering methodologies and in tools and techniques for improving software dependability. Today, however, a great deal of software is written not by professionals but by end-users, who create applications such as multimedia simulations, dynamic web pages, and spreadsheets. Applications such as these are often used to guide important decisions or aid in important tasks, and it is important that they be sufficiently dependable, but evidence shows that they frequently are not. For example, studies have shown that a large percentage of the spreadsheets created by end-users contain faults, and stories abound of spreadsheet faults that have led to multi-million dollar losses. Despite such evidence, until recently, relatively little research had been done to help end-users create more dependable software.

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Not long ago, most software was written by professional programmers, who could be presumed to have an interest in software engineering methodologies and in tools and techniques for improving software dependability. Today, however, a great deal of software is written not by professionals but by end-users, who create applications such as multimedia simulations, dynamic web pages, and spreadsheets. Applications such as these are often used to guide important decisions or aid in important tasks, and it is important that they be sufficiently dependable, but evidence shows that they frequently are not. For example, studies have shown that a large percentage of the spreadsheets created by end-users contain faults. Despite such evidence, until recently, relatively little research had been done to help end-users create more dependable software. We have been working to address this problem by finding ways to provide at least some of the benefits of formal software engineering techniques to end-user programmers. In this talk, focusing on the spreadsheet application paradigm, I present several of our approaches, focusing on methodologies that utilize source-code-analysis techniques to help end-users build more dependable spreadsheets. Behind the scenes, our methodologies use static analyses such as dataflow analysis and slicing, together with dynamic analyses such as execution monitoring, to support user tasks such as validation and fault localization. I show how, to accommodate the user base of spreadsheet languages, an interface to these methodologies can be provided in a manner that does not require an understanding of the theory behind the analyses, yet supports the interactive, incremental process by which spreadsheets are created. Finally, I present empirical results gathered in the use of our methodologies that highlight several costs and benefits trade-offs, and many opportunities for future work.

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The building budgeting quickly and accurately is a challenge faced by the companies in the sector. The cost estimation process is performed from the quantity takeoff and this process of quantification, historically, through the analysis of the project, scope of work and project information contained in 2D design, text files and spreadsheets. This method, in many cases, present itself flawed, influencing the making management decisions, once it is closely coupled to time and cost management. In this scenario, this work intends to make a critical analysis of conventional process of quantity takeoff, from the quantification through 2D designs, and with the use of the software Autodesk Revit 2016, which uses the concepts of building information modeling for automated quantity takeoff of 3D model construction. It is noted that the 3D modeling process should be aligned with the goals of budgeting. The use of BIM technology programs provides several benefits compared to traditional quantity takeoff process, representing gains in productivity, transparency and assertiveness

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A significant cost for foundations is the design and installation of piles when they are required due to poor ground conditions. Not only is it important that piles be designed properly, but also that the installation equipment and total cost be evaluated. To assist in the evaluation of piles a number of methods have been developed. In this research three of these methods were investigated, which were developed by the Federal Highway Administration, the US Corps of Engineers and the American Petroleum Institute (API). The results from these methods were entered into the program GRLWEAPTM to assess the pile drivability and to provide a standard base for comparing the three methods. An additional element of this research was to develop EXCEL spreadsheets to implement these three methods. Currently the Army Corps and API methods do not have publicly available software and must be performed manually, which requires that data is taken off of figures and tables, which can introduce error in the prediction of pile capacities. Following development of the EXCEL spreadsheet, they were validated with both manual calculations and existing data sets to ensure that the data output is correct. To evaluate the three pile capacity methods data was utilized from four project sites from North America. The data included site geotechnical data along with field determined pile capacities. In order to achieve a standard comparison of the data, the pile capacities and geotechnical data from the three methods were entered into GRLWEAPTM. The sites consisted of both cohesive and cohesionless soils; where one site was primarily cohesive, one was primarily cohesionless, and the other two consisted of inter-bedded cohesive and cohesionless soils. Based on this limited set of data the results indicated that the US Corps of Engineers method more closely compared with the field test data, followed by the API method to a lesser degree. The DRIVEN program compared favorably in cohesive soils, but over predicted in cohesionless material.

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Organizing and archiving statistical results and processing a subset of those results for publication are important and often underestimated issues in conducting statistical analyses. Because automation of these tasks is often poor, processing results produced by statistical packages is quite laborious and vulnerable to error. I will therefore present a new package called estout that facilitates and automates some of these tasks. This new command can be used to produce regression tables for use with spreadsheets, LaTeX, HTML, or word processors. For example, the results for multiple models can be organized in spreadsheets and can thus be archived in an orderly manner. Alternatively, the results can be directly saved as a publication-ready table for inclusion in, for example, a LaTeX document. estout is implemented as a wrapper for estimates table but has many additional features, such as support for mfx. However, despite its flexibility, estout is—I believe—still very straightforward and easy to use. Furthermore, estout can be customized via so-called defaults files. A tool to make available supplementary statistics called estadd is also provided.

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In this paper, Adams explicit and implicit formulas are obtained in a simple way and a relationship between them is established, allowing for their joint implementation as predictor-corrector methods. It is shown the purposefulness, from a didactic point of view, of Excel spreadsheets for calculations and for the orderly presentation of results in the application of Adams methods to solving initial value problems in ordinary differential equations.

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This paper describes the process followed in order to make some of the public meterological data from the Agencia Estatal de Meteorología (AEMET, Spanish Meteorological Office) available as Linked Data. The method followed has been already used to publish geographical, statistical, and leisure data. The data selected for publication are generated every ten minutes by the 250 automatic stations that belong to AEMET and that are deployed across Spain. These data are available as spreadsheets in the AEMET data catalog, and contain more than twenty types of measurements per station. Spreadsheets are retrieved from the website, processed with Python scripts, transformed to RDF according to an ontology network about meteorology that reuses the W3C SSN Ontology, published in a triple store and visualized in maps with Map4rdf.

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La actividad de muchas empresas, y en concreto las de software, está basada en proyectos. Típicamente, estas empresas tendrán un modelo de negocio orientado a productos para un mercado abierto, o un modelo de negocio orientado a consultoría para otras empresas. La empresa LeadClic Solutions se incluye en el segundo grupo. Se trata de una consultoría especializada en una tecnología emergente, Salesforce, cuya labor consiste en el desarrollo de aplicaciones cloud en esta plataforma que satisfagan las necesidades de sus clientes, desde empresas relativamente pequeñas hasta grandes empresas internacionales. Ante esta variedad de realidades, LeadClic necesita una herramienta versátil que permita una gestión eficaz de proyectos de distinta índole, integrando al mismo tiempo gestión de clientes, planificación, control de tiempo y costes, seguimiento, y gestión de recursos humanos. En la actualidad, la empresa basa esta gestión en un gran elenco de programas especializados, desatacando hojas de cálculo, herramientas de gestión de proyectos en diversos programas locales o en la nube, correo electrónico, servicios de comunicación y desarrollos personalizados en Salesforce. El objetivo de este Trabajo Fin de Grado es el diseño, implementación y validación de una herramienta en la nube, sobre la plataforma Salesforce, que integre las soluciones a todas las necesidades de la empresa. ---ABSTRACT---Many companies’ activity, in particular software companies’, is based on projects. Typically, these companies have a product for open market - oriented business model, or a B2B consultancy business model. The company LeadClic Solutions is included in the second group. It is a small consultancy, specialized in an emergent technology, Salesforce, that develops cloud applications in that platform to satisfy its clients’ needs, from small companies to big international ones. Faced with this variety of situations, LeadClic needs a versatile tool able to cope with an effective management of projects of different types, integrating at once client management, planning, time and costs control, monitoring, and human resources management. At the moment, the company bases this management on a wide range of specialized programs, such as spreadsheets, local and cloud based project management tools, emailing, communication services and Salesforce based custom developments. This Final Degree Project seeks to design, implement and validate a cloud based tool, on the Salesforce platform, to integrate the solution to all of the company’s needs into one single application.

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El Trabajo Fin de Grado ha consistido en el diseño e implementación de una herramienta para la gestión y administración de los entrenamientos de atletas de deportes individuales. Hasta ahora los deportistas debían gestionar sus entrenamientos a través de hojas de cálculo, teniendo que dedicar tiempo al aprendizaje de herramientas como Microsoft Excel u OpenOffice Excel para personalizar las plantillas y guardar los datos, utilizar otras herramientas como Google Calendar para obtener una visión de un calendario con los entrenamientos realizados o bien utilizar programas hechos a medida para un deporte e incluso para un deportista. El objetivo principal consistía en desarrollar una herramienta que unificara todas las tareas para ofrecer al deportista las funciones de configuración de plantillas, registro y generación de gráficas de los datos registrados y visionado del calendario de entrenamientos de una forma ágil, sencilla e intuitiva, adaptándose a las necesidades de cualquier deporte o deportista. Para alcanzar el objetivo principal realizamos encuestas a atletas de una gran diversidad de deportes individuales, detectando las particularidades de cada deporte y analizando los datos que nos ofrecían para alcanzar el objetivo de diseñar una herramienta versátil que permitiera su uso independientemente de los parámetros que se quisiera registrar de cada entrenamiento. La herramienta generada es una herramienta programada en Java, que ofrece portabilidad a cualquier sistema operativo que lo soporte, sin ser necesario realizar una instalación previa. Es una aplicación plug and play en la que solo se necesita del fichero ejecutable para su funcionamiento; de esta forma facilitamos que el deportista guarde toda la información en muy poco espacio, 6 megabytes aproximadamente, y pueda llevarla a cualquier lado en un pen drive o en sistemas de almacenamiento en la nube. Además, los ficheros en los que se registran los datos son ficheros CSV (valores separados por comas) con un formato estandarizado que permite la exportación a otras herramientas. Como conclusión el atleta ahorra tiempo y esfuerzo en tareas ajenas a la práctica del deporte y disfruta de una herramienta que le permite analizar de diferentes maneras cada uno de los parámetros registrados para ver su evolución y ayudarle a mejorar aquellos aspectos que sean deficientes. ---ABSTRACT---The Final Project consists in the design and implementation of a tool for the management and administration of training logs for individual athletes. Until now athletes had to manage their workouts through spreadsheets, having to spend time in learning tools such as Microsoft Excel or OpenOffice in order to save the data, others tools like Google Calendar to check their training plan or buy specifics programs designed for a specific sport or even for an athlete. The main purpose of this project is to develop an intuitive and straightforward tool that unifies all tasks offering setup functions, data recording, graph generation and training schedule to the athletes. Whit this in mind, we have interviewed athletes from a wide range of individual sports, identifying their specifications and analyzing the data provided to design a flexible tool that registers multitude of training parameters. This tool has been coded in Java, providing portability to any operating system that supports it, without installation being required. It is a plug and play application, that only requires the executable file to start working. Accordingly, athletes can keep all the information in a relative reduced space (aprox 6 megabytes) and save it in a pen drive or in the cloud. In addition, the files whit the stored data are CSV (comma separated value) files whit a standardized format that allows exporting to other tools. Consequently athletes will save time and effort on tasks unrelated to the practice of sports. The new tool will enable them to analyze in detail all the existing data and improve in those areas with development opportunities.

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Background: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. Results: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. Conclusions: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well.

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Numa perspectiva sociológica, este trabalho tem o objetivo de identificar o perfil profissional do supervisor de ensino que atua na Secretaria de Estado da Educação de São Paulo, verificando se sua atuação está voltada ao pedagógico ou ao administrativo e qual o compromisso político e as concepções educacionais destes profissionais. Apoiando-se em Tragtenberg, Silva Jr e Huert, entre outros autores que abordam, especificamente, a supervisão de ensino, procurou-se fazer uma analise histórica da legislação, de planilhas e dos dados que foram colhidos através de depoimentos e entrevistas com supervisores de ensino efetivos de três Diretorias de Ensino da Grande São Paulo. O resultado da pesquisa aponta para a predominância de um perfil burocrático e de fiscalização na ação do supervisor de ensino, bem como de executor das políticas públicas e não partícipe da sua elaboração. O supervisor de ensino é um representante de um poder político que favorece uma determinada ordem, mesmo que exista uma tentativa de superação de uma representatividade unilateral dentro da supervisão de ensino.(AU)

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Numa perspectiva sociológica, este trabalho tem o objetivo de identificar o perfil profissional do supervisor de ensino que atua na Secretaria de Estado da Educação de São Paulo, verificando se sua atuação está voltada ao pedagógico ou ao administrativo e qual o compromisso político e as concepções educacionais destes profissionais. Apoiando-se em Tragtenberg, Silva Jr e Huert, entre outros autores que abordam, especificamente, a supervisão de ensino, procurou-se fazer uma analise histórica da legislação, de planilhas e dos dados que foram colhidos através de depoimentos e entrevistas com supervisores de ensino efetivos de três Diretorias de Ensino da Grande São Paulo. O resultado da pesquisa aponta para a predominância de um perfil burocrático e de fiscalização na ação do supervisor de ensino, bem como de executor das políticas públicas e não partícipe da sua elaboração. O supervisor de ensino é um representante de um poder político que favorece uma determinada ordem, mesmo que exista uma tentativa de superação de uma representatividade unilateral dentro da supervisão de ensino.(AU)

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Camera traps have become a widely used technique for conducting biological inventories, generating a large number of database records of great interest. The main aim of this paper is to describe a new free and open source software (FOSS), developed to facilitate the management of camera-trapped data which originated from a protected Mediterranean area (SE Spain). In the last decade, some other useful alternatives have been proposed, but ours focuses especially on a collaborative undertaking and on the importance of spatial information underpinning common camera trap studies. This FOSS application, namely, “Camera Trap Manager” (CTM), has been designed to expedite the processing of pictures on the .NET platform. CTM has a very intuitive user interface, automatic extraction of some image metadata (date, time, moon phase, location, temperature, atmospheric pressure, among others), analytical (Geographical Information Systems, statistics, charts, among others), and reporting capabilities (ESRI Shapefiles, Microsoft Excel Spreadsheets, PDF reports, among others). Using this application, we have achieved a very simple management, fast analysis, and a significant reduction of costs. While we were able to classify an average of 55 pictures per hour manually, CTM has made it possible to process over 1000 photographs per hour, consequently retrieving a greater amount of data.

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estout produces a table of regression results from one or several models for use with spreadsheets, LaTeX, HTML, or a word-processor table. eststo stores a quick copy of the active estimation results for later tabulation. esttab is a wrapper for estout. It displays a pretty looking publication-style regression table without much typing. estadd adds additional results to the e()-returns for one or several models previously fitted and stored. This package subsumes the previously circulated esto, esta, estadd, and estadd_plus. An earlier version of estout is available as estout1.