965 resultados para Matlab (Computer programs)


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El nostre projecte, tracta de desenvolupar una aplicació que ha de proporcionar diverses utilitats de gestió per a un restaurant. Es gestionaran les reserves a través d'Internet, també es farà la gestió d'usuaris registrats i campanyes de publicitat per e-mail dirigides als mateixos. L'aplicació haurà de mantenir la base de dades dels clients registrats. El restaurant els hi farà arribar informació periòdica a traves de llistes de correu i campanyes puntuals que l'aplicació haurà de gestionar.La part privada de l'aplicació, ha de tractar l'accés de personal autoritzat. El personal autoritzat podrà fer el manteniment de diverses parts: els clients, les reserves, els menús, places disponibles,... També ha de permetre la gestió dels continguts de les llistes de correu i les campanyes de publicitat.La nostra aplicació, sobre la plataforma JEE, segueix el disseny en capes, concretament en les capes de presentació, negoci i dades. A la capa de presentació, s'han utilitzat les tecnologies de JSP, HTML i CSS intentant aconseguir una interfície gràfica que sigui entenedora i fàcil d'usar. Desitgem fer servir el patró Model Vista Controlador, per tal de separar la interfície d'usuari de la lògica de negoci, a tal efecte s'ha utilitzat el "framework" STRUTS. A la capa de negoci és on estarà el gruix de l'aplicació que s'executarà sobre un servidor d'aplicacions, que en el nostre cas serà el GlassFish.La capa de dades, fa servir el SGBD MySQL. Per interactuar amb la base de dades, s'ha fet servir el "framework", Hibernate, que ens permet tractar les taules de la base de dades com si fossin objectes Java ordinaris.

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El presente estudio se centra en la gestión de proyectos. Dentro de este ámbito el estudio girará entorno a las herramientas de gestión de proyectos que actualmente hay en el mercado destinadas a las grandes empresas.

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Heriot-Watt University uses a software package called Syllabus Plus for its timetabling. This package can perform scheduling functions however it is currently employed only as a room booking system at present. In academic session 2008-2009 the university will be restructuring its academic year from 3 terms of 10 weeks to semesters of 14 weeks and therefore major changes will be required to the timetabling information. This project has two functions, both with practical and relevant applications to the timetabling of the university. The aims of the project are the ability to change population number of modules and activities, delete term 3 modules and activities, the ability to change module and activity name, and change the teaching week pattern from the semester

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Aquest projecte està emmarcat dins el grup eXiT d’Intel•lig`encia Artificial del Departament d’Electrònica i Automàtica (EIA) de la Universitat de Girona. Pertany a l’àmbit de la Intel•ligència Artificial i, concretament, en l’apartat d’agents intel•ligents. En el nostre cas, tractarem el desenvolupament d’un agent intel•ligent en un entorn determinat, el de la gestió d’una cadena de producció. Amb l’objectiu de proporcionar un marc experimental on provar diferents tecnologies de suport a la gestió de la cadena de producció, la comunitat d’investigadors va proposar una competició internacional: la Trading Agent Competiton (TAC). En aquesta competició existeixen diferents modalitats. En particular, la Swedish Institution of Computer Science (SICS), juntament amb la Carnegie Mellon University de Pittsburg, Minnesotta, van proposar al 2003 un escenari de muntatge de PC’s basat en el proveïment de recursos, l’embalatge de PC’s i les ventes a clients. Aquesta modalitat és coneguda com aTAC-SCM (Supply Chain Management)

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Desarrollo detallado de la fase de aprobación de un proyecto informático mediante el desarrollo de tecnologías ágiles.

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Ens trobem davant una fàbrica de pinsos per aviram sense cap tipus de controlautomatitzat. Actualment totes les actuacions són semiautomàtiques i amb necessitat de personal. La fàbrica té tots els elements mecànics necessaris per poder funcionar, per tant, només falta algun element elèctric per automatitzar la planta i un PC per poder implementar un SCADA.Els objectius principals a portar a terme serien: obtenir millor producte, més homogeni i poder augmentar el volum de la producción diària, prescindir de personal per reduir costos i així la producció sigui més rendible, preparar la planta per a futures ampliacions

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Per tal de poder recollir part de les aigües residuals de la població de Llafranc i fer-les arribar a la depuradora d’aigües residuals (EDAR) de Palamós, és necessari impulsarla. Amb aquesta millora, s’aconseguirà assegurar la impulsióde les aigües residuals de Llafranc tenint en compte les necessitats actuals i futures.S’evitarà l’abocament d’aigües residuals a la riera i mar tal i com està passantactualment amb l’EBAR original ja que no es correspon el cabal de disseny inicial ambel cabal actual. També es garanteix la impulsió de la majoria d’aigües pluvials degut aque no està separada la xarxa d’aigües residuals de la xarxa d’aigües pluvials.A més es garanteix un millor funcionament en els equips degut a la instal•laciód’equips adequats a les tecnologies actuals, poden controlar tot el sistemacorrectament.L’automatització de l’EBAR permetrà reduir el temps de manteniment i neteja de lesinstal•lacions, i reduir el nombre d’avaries de les instal•lacions.A més es reduirà el risc d’abocaments incontrolats per la instal•lació d’un sistema detelecontrol que permetrà assabentar automàticament de qualsevol anomalia a lapersona responsable de mantenir i garantir el funcionament de les instal•lacions.En cas de fallada del subministrament elèctric, es pot garantir durant un cert temps elfuncionament de l’EBAR degut a la instal•lació d’un grup electrogen, tenint més margede maniobra en cas d’una incidència

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Gestió de projectes àgils quan es disposa d'equips distribuïts fisicament.

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Estudi comparatiu del mercat de les eines de gestió de projectes informàtics.

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Little is known about the relation between the genome organization and gene expression in Leishmania. Bioinformatic analysis can be used to predict genes and find homologies with known proteins. A model was proposed, in which genes are organized into large clusters and transcribed from only one strand, in the form of large polycistronic primary transcripts. To verify the validity of this model, we studied gene expression at the transcriptional, post-transcriptional and translational levels in a unique locus of 34kb located on chr27 and represented by cosmid L979. Sequence analysis revealed 115 ORFs on either DNA strand. Using computer programs developed for Leishmania genes, only nine of these ORFs, localized on the same strand, were predicted to code for proteins, some of which show homologies with known proteins. Additionally, one pseudogene, was identified. We verified the biological relevance of these predictions. mRNAs from nine predicted genes and proteins from seven were detected. Nuclear run-on analyses confirmed that the top strand is transcribed by RNA polymerase II and suggested that there is no polymerase entry site. Low levels of transcription were detected in regions of the bottom strand and stable transcripts were identified for four ORFs on this strand not predicted to be protein-coding. In conclusion, the transcriptional organization of the Leishmania genome is complex, raising the possibility that computer predictions may not be comprehensive.

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The purpose of Project ASSIST is to provide computer training to individuals who are blind, visually-impaired or deaf-blind. Our training materials address all levels of users, from beginners to advanced users. We have tutorials, keyboard guides and diagrams, and course packets. These materials can be used by individuals who want to learn popular computer programs on their own and by professional trainers for their organization's computer training program. We also offer instructor-led training through our ASSIST Online distance learning program.

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Objective Investigating the educational technologies developed for promoting cardiovascular health in adults. Method Integrative review carried out in the databases of PubMed, SciELO and LILACS, with 15 articles selected. Results Over half (60%) of the studies were randomized clinical trials. The developed educational technologies were programs involving three strategies, with duration of one year, use of playful technologies with storytelling, computer programs or software for smartphones, and electronic brochure. These technologies resulted in reduction of blood pressure, weight, waist circumference, decreased hospitalizations and increased years of life. Conclusion The studies with better impact on the cardiovascular health of adults were those who brought the technology in the form of program and duration of one year.

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Data mining can be defined as the extraction of previously unknown and potentially useful information from large datasets. The main principle is to devise computer programs that run through databases and automatically seek deterministic patterns. It is applied in different fields of application, e.g., remote sensing, biometry, speech recognition, but has seldom been applied to forensic case data. The intrinsic difficulty related to the use of such data lies in its heterogeneity, which comes from the many different sources of information. The aim of this study is to highlight potential uses of pattern recognition that would provide relevant results from a criminal intelligence point of view. The role of data mining within a global crime analysis methodology is to detect all types of structures in a dataset. Once filtered and interpreted, those structures can point to previously unseen criminal activities. The interpretation of patterns for intelligence purposes is the final stage of the process. It allows the researcher to validate the whole methodology and to refine each step if necessary. An application to cutting agents found in illicit drug seizures was performed. A combinatorial approach was done, using the presence and the absence of products. Methods coming from the graph theory field were used to extract patterns in data constituted by links between products and place and date of seizure. A data mining process completed using graphing techniques is called ``graph mining''. Patterns were detected that had to be interpreted and compared with preliminary knowledge to establish their relevancy. The illicit drug profiling process is actually an intelligence process that uses preliminary illicit drug classes to classify new samples. Methods proposed in this study could be used \textit{a priori} to compare structures from preliminary and post-detection patterns. This new knowledge of a repeated structure may provide valuable complementary information to profiling and become a source of intelligence.

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Various test methods exist for measuring heat of cement hydration; however, most current methods require expensive equipment, complex testing procedures, and/or extensive time, thus not being suitable for field application. The objectives of this research are to identify, develop, and evaluate a standard test procedure for characterization and quality control of pavement concrete mixtures using a calorimetry technique. This research project has three phases. Phase I was designed to identify the user needs, including performance requirements and precision and bias limits, and to synthesize existing test methods for monitoring the heat of hydration, including device types, configurations, test procedures, measurements, advantages, disadvantages, applications, and accuracy. Phase II was designed to conduct experimental work to evaluate the calorimetry equipment recommended from the Phase I study and to develop a standard test procedure for using the equipment and interpreting the test results. Phase II also includes the development of models and computer programs for prediction of concrete pavement performance based on the characteristics of heat evolution curves. Phase III was designed to study for further development of a much simpler, inexpensive calorimeter for field concrete. In this report, the results from the Phase I study are presented, the plan for the Phase II study is described, and the recommendations for Phase III study are outlined. Phase I has been completed through three major activities: (1) collecting input and advice from the members of the project Technical Working Group (TWG), (2) conducting a literature survey, and (3) performing trials at the CP Tech Center’s research lab. The research results indicate that in addition to predicting maturity/strength, concrete heat evolution test results can also be used for (1) forecasting concrete setting time, (2) specifying curing period, (3) estimating risk of thermal cracking, (4) assessing pavement sawing/finishing time, (5) characterizing cement features, (6) identifying incompatibility of cementitious materials, (7) verifying concrete mix proportions, and (8) selecting materials and/or mix designs for given environmental conditions. Besides concrete materials and mix proportions, the configuration of the calorimeter device, sample size, mixing procedure, and testing environment (temperature) also have significant influences on features of concrete heat evolution process. The research team has found that although various calorimeter tests have been conducted for assorted purposes and the potential uses of calorimeter tests are clear, there is no consensus on how to utilize the heat evolution curves to characterize concrete materials and how to effectively relate the characteristics of heat evolution curves to concrete pavement performance. The goal of the Phase II study is to close these gaps.

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Signal search analysis is a general method to discover and characterize sequence motifs that are positionally correlated with a functional site (e.g. a transcription or translation start site). The method has played an instrumental role in the analysis of eukaryotic promoter elements. The signal search analysis server provides access to four different computer programs as well as to a large number of precompiled functional site collections. The programs offered allow: (i) the identification of non-random sequence regions under evolutionary constraint; (ii) the detection of consensus sequence-based motifs that are over- or under-represented at a particular distance from a functional site; (iii) the analysis of the positional distribution of a consensus sequence- or weight matrix-based sequence motif around a functional site; and (iv) the optimization of a weight matrix description of a locally over-represented sequence motif. These programs can be accessed at: http://www.isrec.isb-sib.ch/ssa/.