Estudi comparatiu de les diferents eines de gestió de projectes informàtics en el mercat

La present memòria es centra en l'anàlisi comparatiu de les diferents eines de software per a la gestió de projectes dins del mercat.

REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies

Background: The repertoire of statistical methods dealing with the descriptive analysis of the burden of a disease has been expanded and implemented in statistical software packages during the last years. The purpose of this paper is to present a web-based tool, REGSTATTOOLS http://regstattools.net intended to provide analysis for the burden of cancer, or other group of disease registry data. Three software applications are included in REGSTATTOOLS: SART (analysis of disease"s rates and its time trends), RiskDiff (analysis of percent changes in the rates due to demographic factors and risk of developing or dying from a disease) and WAERS (relative survival analysis). Results: We show a real-data application through the assessment of the burden of tobacco-related cancer incidence in two Spanish regions in the period 1995-2004. Making use of SART we show that lung cancer is the most common cancer among those cancers, with rising trends in incidence among women. We compared 2000-2004 data with that of 1995-1999 to assess percent changes in the number of cases as well as relative survival using RiskDiff and WAERS, respectively. We show that the net change increase in lung cancer cases among women was mainly attributable to an increased risk of developing lung cancer, whereas in men it is attributable to the increase in population size. Among men, lung cancer relative survival was higher in 2000-2004 than in 1995-1999, whereas it was similar among women when these time periods were compared. Conclusions: Unlike other similar applications, REGSTATTOOLS does not require local software installation and it is simple to use, fast and easy to interpret. It is a set of web-based statistical tools intended for automated calculation of population indicators that any professional in health or social sciences may require.

Monikappalesysteemin esikäsittelijä kaupallisessa ympäristössä

Työn tavoitteena oli tehdä monikappalesysteemin esikäsittelijä, joka toimii CAD-ohjelmiston yhteydessä. CAD-ohjelmistoksi valittiin SolidWorks-ohjelmisto. Esikäsittelijästä tehtiin yhteensopiva monikappaledynamiikan simulointi ohjelmiston kanssa, joka on kehitetty Lappeenrannan teknillisessä yliopistossa. Aikaansaadun esikäsittelijän avulla pystytään tuottamaan monikappaledynamiikan simuloinnissa tarvittavat lähtötiedot. Lähtötiedot esikäsittelijä laskee käyttäjän tekemästä kokoonpanokuvasta ja käyttäjän antamista tiedoista. Esikäsittelijän toiminta verifioitiin kaupallisin simulointiohjelmisto ADAMS:n avulla. Esikäsittelijän todettiin toimivan luotettavasti ja täyttävän sille asetetut vaatimukset. Lisäksi esikäsittelijän todettiin nopeuttavan huomattavasti simulointimallien tekoa.

Kernel-PCA data integration with enhanced interpretability

Background Nowadays, combining the different sources of information to improve the biological knowledge available is a challenge in bioinformatics. One of the most powerful methods for integrating heterogeneous data types are kernel-based methods. Kernel-based data integration approaches consist of two basic steps: firstly the right kernel is chosen for each data set; secondly the kernels from the different data sources are combined to give a complete representation of the available data for a given statistical task. Results We analyze the integration of data from several sources of information using kernel PCA, from the point of view of reducing dimensionality. Moreover, we improve the interpretability of kernel PCA by adding to the plot the representation of the input variables that belong to any dataset. In particular, for each input variable or linear combination of input variables, we can represent the direction of maximum growth locally, which allows us to identify those samples with higher/lower values of the variables analyzed. Conclusions The integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.

PROVISIONING OF MIDLETS

Java™ 2 Platform, Micro Edition on eräs johtava sovellusalusta, joka mahdollistaa kolmannen osapuolen sovellusten luomisen matkapuhelimiin, kommunikaattoreihin ja taskutietokoneisiin. Java-alusta keskeinen etu on sovellusten dynaaminen asentaminen. Käyttäjä ei ole rajoitettu esiasennettuihin sovelluksiin vaan voi asentaa niitä itse tarpeen mukaan. Tämän diplomityö käsittelee erilaisia Java sovellusten (MIDlettien) lataus ja asennusmenetelmiä. Diplomityö antaa yhteenvedon merkittävimmistä asennus teknologioista. Pääpaino on MIDP-standardin mukaisella langattomalle asennuksella (Over-The-Air provisioning) sillä se on kaikkein laajimmin käytetty menetelmä. Muita käsiteltäviä menetelmiä ovat WAP Push ja paikallinen asennus Bluetoothin ja Infrapunalinkin avulla. MIDletit, kuten mitkä tahansa ohjelmat, ovat alttiita laittomalle kopioinnille. Tämä diplomityö kuvaa menetelmiä, joilla laiton kopiointi voidaan estää. Yksi esimerkki on OMA™ DRM standardi. Diplomityö kuvaa myös kuinka kopiointisuojaus voidaan yhdistää olemassa oleviin asennusmenetelmiin. Java sovelluksia, MIDlettejä, käytetään yhä erilaisimpiin tarkoituksiin jolloin tarvitaan myös uusia asennusmenetelmiä. Yksi tällainen menetelmä on asentaminen erillisistä laitteista. Diplomityö kuvaa useita menetelmiä asentamiseen erillisistä laitteista. Käsitellyr menetelmät pohjautuvat Bluetooth teknologiaan ja yhtä lukuun ottamatta perustuvat standardin määrittelemiin Bluetooth profiileihin File Transfer Profile, Personal Area Networking Profile ja Object Push Profile. Toinen asennustapa on sovellusten edelleen lähettäminen toiseen puhelimeen. Diplomityö kuvaa kuinka OMA DRM standardi voidaan yhdistää tällaisen asennuksen ja ehdottaa kahta vaihtoehtoista menetelmää. Yksi perustuu Bluetoothin Object Push Profiiliin ja toinen Infrapunalinkin käyttöön. Toinen perustuu multimediaviestiin ja sähköpostiin.

Teknisen analyysin menestyksellisyys suomalaisilla osakemarkkinoilla

Tutkielmassa analysoitiin yhteensä 73:n teknisen analyysin menetelmävariaation ja samalta ajanjaksolta lasketun osta ja pidä -strategian tuottojen eroja aineistolla, joka koostui 43 Helsingin Arvopaperipörssin päälistalla vuodesta 1991 vuoteen 1998 noteeratun yhtiön osakkeiden päivän päätöskursseista. Empiiriset testit toteutettiin tutkielmaa varten laadituilla Pascal-ohjelmilla, joilla simuloitiin eri teknisen analyysin menetelmien mukaista päivittäistä kaupankäyntiä. Tulokset osoittivat, ettei teknisen analyysin menetelmien avulla olisi tarkasteluperiodilla päässyt osta ja pidä -strategian tuottotasolle, sillä ainoastaan yksi strategioista ylitti osta ja pidä -strategian tuottotason. Negatiivinen korrelaatio kunkin teknisen analyysin menetelmän tuottamien kauppojen lukumäärän ja strategian kannattavuuden välillä oli erittäin vahva; mitä suurempi signaaliherkkyys, sitä heikompi oli kyseisen strategian tulos. Tutkimustulokset tukivat siten markkinatehokkuuden heikkojen ehtojen hypoteesia, jonka mukaan mennyt hintainformaatio ei ole monetäärisesti hyödynnettävissä.

Adaptive MCMC methods with applications in environmental and geophysical models

This work presents new, efficient Markov chain Monte Carlo (MCMC) simulation methods for statistical analysis in various modelling applications. When using MCMC methods, the model is simulated repeatedly to explore the probability distribution describing the uncertainties in model parameters and predictions. In adaptive MCMC methods based on the Metropolis-Hastings algorithm, the proposal distribution needed by the algorithm learns from the target distribution as the simulation proceeds. Adaptive MCMC methods have been subject of intensive research lately, as they open a way for essentially easier use of the methodology. The lack of user-friendly computer programs has been a main obstacle for wider acceptance of the methods. This work provides two new adaptive MCMC methods: DRAM and AARJ. The DRAM method has been built especially to work in high dimensional and non-linear problems. The AARJ method is an extension to DRAM for model selection problems, where the mathematical formulation of the model is uncertain and we want simultaneously to fit several different models to the same observations. The methods were developed while keeping in mind the needs of modelling applications typical in environmental sciences. The development work has been pursued while working with several application projects. The applications presented in this work are: a winter time oxygen concentration model for Lake Tuusulanjärvi and adaptive control of the aerator; a nutrition model for Lake Pyhäjärvi and lake management planning; validation of the algorithms of the GOMOS ozone remote sensing instrument on board the Envisat satellite of European Space Agency and the study of the effects of aerosol model selection on the GOMOS algorithm.

Tietokoneohjelmien suojaaminen ja ohjelmien samankaltaisuuksien aiheuttamat oikeudelliset ongelmat

Tietokoneohjelmaa suojataan tekijänoikeudella, liikesalaisuussuojalla ja patentilla. Jotta ohjelmistoalan yritys pärjäisi dynaamisilla ja kansainvälisillä ohjelmistomarkkinoilla sen pitää patentoida ohjelmansa sekä hyödyntää ja puolustaa patenttejaan. Ohjelmistopatentteja myönnetään myös Euroopassa yhä enemmän. Ohjelmistoteollisuudessa tuotekehitys perustuu usein jo olemassa olevalle, josta aiheutuu alalle tyypillistä teknologioiden päällekkäisyyttä. Jotta yritys pystyisi toimimaan tietyllä markkina-alueella, se saattaa tarvita sellaista teknologiaa joka on jo jonkun patentoimaa. Edellä mainituista syistä sekä ohjelmistopatenttien samanlaisuuksista ja patenttien suuresta määrästä johtuen patentinloukkauksia tapahtuu ja niihin tulee reagoida liikesuhteet huomioon ottaen, esimerkiksi neuvottelemalla liiketoimintasopimuksesta, sovittelemalla konfliktia sovittelumenettelyssä ja tarvittaessa oikeudellisin keinoin.

A transformada de Fourier em basic

In this paper we describe three computer programs in Basic language about the Fourier transform (FFT) which are available in the Internet site http://artemis.ffclrp.usp.br/SoftwareE.htm (in English) or http://artemis.ffclrp.usp.br/softwareP.htm (in Portuguese) since October 1998. Those are addresses to the Web Page of our Laboratory of Organic Synthesis. The programs can be downloaded and used by anyone who is interested on the subject. The texts, menus and captions in the programs are written in English.

Redes neurais e suas aplicações em calibração multivariada

Neural Networks are a set of mathematical methods and computer programs designed to simulate the information process and the knowledge acquisition of the human brain. In last years its application in chemistry is increasing significantly, due the special characteristics for model complex systems. The basic principles of two types of neural networks, the multi-layer perceptrons and radial basis functions, are introduced, as well as, a pruning approach to architecture optimization. Two analytical applications based on near infrared spectroscopy are presented, the first one for determination of nitrogen content in wheat leaves using multi-layer perceptrons networks and second one for determination of BRIX in sugar cane juices using radial basis functions networks.

Interaktiivinen NURBS-sovelma opetuskäyttöön

Parametriset NURBS-käyrät ja -pinnat ovat yleisiä työkaluja graafisessa mallinnuksessa, tietokoneavusteisessa suunnittelussa ja muissa sovelluksissa. NURBS-mallinnus on pääosin melko intuitiivista, mutta siinä on joitakin vaikeammin ymmärrettäviä osia. Ihminen oppii parhaiten tekemällä, minkä takia päätettiin tehdä interaktiivinen NURBS-opetussovelma, joka tutustuttaa käyttäjän NURBSien toimintaan. Sovelma toimii www-selaimessa Java-liitännäisen avulla ja hyödyntää Java OpenGL -grafiikkarajapintaa kolmiulotteisen grafiikan piirtämiseen. Sovelma on helppokäyttöinen ja opastaa käyttäjää NURBS-mallinnuksen eri osa-alueissa.

Integración de visualización científica molecular en el salón de clases

For some years, Chemistry teachers have used scientific visualization software of molecular models in computing rooms and chemistry laboratories for educational purposes. However, its application in classrooms has been limited. This article describes the integration and use of computer programs for scientific molecular visualization in a traditional classroom. We consider that the improvement of technical aspects of their application and use (usability) has a direct effect on students' understanding of molecular structures (including students' extrinsic motivation), among other factors. Consequently, we developed a guide for the integration of hardware and software of molecular visualization for its use in the classroom.

A teoria de pearson para a disciplina de química orgânica: um exercício prático e teórico aplicado em sala de aula

We report a didactic experience in teaching Pearson's theory (HSAB) to graduate students in organic chemistry. This approach was based on teaching students how to use computer programs to calculate frontier orbitals (HOMO-LUMO). The suggested level of calculation was a semi-empiric PM3, proving to be efficient for obtaining robust and fast numerical results that can be performed easily in the classroom. We described a practical computational exercise and asked students to compare these numerical data with qualitative analysis using valence bond theory. A comprehensive solution of this exercise is presented, aiming to support teachers in their lessons.

Development of Collaborative Product Structure Management

The purpose of this thesis is to develop an environment or network that enables effective collaborative product structure management among stakeholders in each unit, throughout the entire product lifecycle and product data management. This thesis uses framework models as an approach to the problem. Framework model methods for development of collaborative product structure management are proposed in this study, there are three unique models depicted to support collaborative product structure management: organization model, process model and product model. In the organization model, the formation of product data management system (eDSTAT) key user network is specified. In the process model, development is based on the case company’s product development matrix. In the product model framework, product model management, product knowledge management and design knowledge management are defined as development tools and collaboration is based on web-based product structure management. Collaborative management is executed using all these approaches. A case study from an actual project at the case company is presented as an implementation; this is to verify the models’ applicability. A computer assisted design tool and the web-based product structure manager, have been used as tools of this collaboration with the support of the key user. The current PDM system, eDSTAT, is used as a piloting case for key user role. The result of this development is that the role of key user as a collaboration channel is defined and established. The key user is able to provide one on one support for the elevator projects. Also the management activities are improved through the application of process workflow by following criteria for each project milestone. The development shows effectiveness of product structure management in product lifecycle, improved production process by eliminating barriers (e.g. improvement of two-way communication) during design phase and production phase. The key user role is applicable on a global scale in the company.

Adherence and perceptions regarding simulation training in undergraduate health Sciences

BACKGROUND: Simulation techniques are spreading rapidly in medicine. Suc h resources are increasingly concentrated in Simulation Laboratories. The MSRP-USP is structuring such a laboratory and is interested in the prevalence of individual initiatives that could be centralized there. The MSRP-USP currently has five full-curriculum courses in the health sciences: Medicine, Speech Therapy, Physical Therapy, Nutrition, and Occupational Therapy, all consisting of core disciplines. GOAL: To determine the prevalence of simulation techniques in the regular courses at MSRP-USP. METHODS: Coordinators of disciplines in the various courses were interviewed using a specifically designed semi-structured questionnaire, and all the collected data were stored in a dedicated database. The disciplines were grouped according to whether they used (GI) or did not use (GII) simulation resources. RESULTS AND DISCUSSION: 256 disciplines were analyzed, of which only 18.3% used simulation techniques, varying according to course: Medicine (24.7.3%), Occupational Therapy (23.0%), Nutrition (15.9%), Physical Therapy (9.8%), and Speech Therapy (9.1%). Computer simulation programs predominated (42.5%) in all five courses. The resources were provided mainly by MSRP-USP (56.3%), with additional funding coming from other sources based on individual initiatives. The same pattern was observed for maintenance. There was great interest in centralizing the resources in the new Simulation Laboratory in order to facilitate maintenance, but there was concern about training and access to the material. CONCLUSIONS: 1) The MSRP-USP simulation resources show low complexity and are mainly limited to computer programs; 2) Use of simulation varies according to course, and is most prevalent in Medicine; 3) Resources are scattered across several locations, and their acquisition and maintenance depend on individual initiatives rather than central coordination or curricular guidelines