role of features and aspects in software development

Feature-Oriented Programming, Aspect-Oriented Programming, Software Product Lines, Stepwise Development

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

Frameworks de persistència : un estudi comparatiu

El projecte és un estudi dels distints productes que es poden trobar per aconseguir la persistència dels objectes entre diferents sessions. Aquest projecte s'engloba dins la tecnologia Java 2 Enterprise Edition (J2EE).

Web per a psicologia i teràpia online Espai Nirvana

Aquest Treball de Final de Carrera engloba l'anàlisi, el disseny i la implementació d'una aplicació web per a psicologia i teràpia online. L'enginyeria d'aquest programari està basada en la tècnica d'orientació a objectes, dins l'estàndard UML. Els aspectes generals de l'anàlisi i disseny s'han desenvolupat amb un cicle de vida en cascada, per tenir una bona base de partida i poder confeccionar una planificació en el temps. La fase de implementació, està basada en un cicle de vida iteratiu e incremental, implementant a cada iteració una petita part amb autonomia que correspon a un cas d'ús. Com a llenguatge de desenvolupament he escollit Java , i com a arquitectura de l'aplicació J2EE, degut a la seva robustesa i a que en l'actualitat, té un fort posicionament en aplicacions web i en xarxa, arribant a ser un estàndard en l'entorn distribuït d'aplicacions empresarials a Internet. En l'estratègia en el disseny i per donar solucions efectives a problemes tipificats, he fet servir el patró MVC, que a més, ha incrementat considerablement la reusabilitat i efectivitat del codi i estructura de la programació. Per a la implementació he incorporat el framework Struts2, que basa la seva arquitectura en el patró MVC, i que ha facilitat molt el treball ja que ha donat solucions a problemes generals estàndard i altres de baix nivell, i ha permès focalitzar els esforços en donar solució a qüestions més particulars i específiques del projecte. En l'accés transparent a les dades he optat per Hibernate3, una poderosa eina que enllaça el món relacional de les BBDD amb el mon de l'orientació a objectes de les classes de les aplicacions. I com a SGBD per a la persistència de dades, he fet servir Oracle 10g XE, també tot un referent en la indústria, i un dels més complets.

Disseny d'un cronòmetre i d'un freqüencímetre integrats en un NIOS controlats sobre μClinux

El projecte que es presenta permet analitzar els avantatges i inconvenients d’una programació orientada a hardware i d’una programació orientada a software a partir del desenvolupament de dos dissenys, un cronòmetre i un freqüencímetre en cadascun dels modes de programació. Donat que en les dues aplicacions es requereix alta precisió de temps (μs) i flexibilitat en el control, la solució final que es proposa és un disseny “mixt” amb dos mòduls hardware específics (cronòmetre i freqüencímetre) integrats en un NIOS/CPU sobre una FPGA. Els dos mòduls es controlen per software sobre un sistema Linux empotrat (μCLinux).

Marco de trabajo de presentación para aplicaciones J2EE : MTP

Diseño e implementación de un marco de trabajo de presentación para aplicaciones J2EE. Análisis de los frameworks de mercado Struts 2, JavaServer Faces y Spring MVC. Patrones de diseño MVC, Core J2EE Patterns y patrones de diseño para programación orientada a objetos (Design Patterns, Elements of Reusable Object-Oriented Software). Aplicación de autoservicio de socios para una asociación de padres y madres de alumnos para demostración de uso del framework MTP y de la definición de una arquitectura en tres capas: presentación, negocio y persistencia basada en Hibernate.

Animal dispersal modelling: handling landscape features and related animal choices

Animal dispersal in a fragmented landscape depends on the complex interaction between landscape structure and animal behavior. To better understand how individuals disperse, it is important to explicitly represent the properties of organisms and the landscape in which they move. A common approach to modelling dispersal includes representing the landscape as a grid of equal sized cells and then simulating individual movement as a correlated random walk. This approach uses a priori scale of resolution, which limits the representation of all landscape features and how different dispersal abilities are modelled. We develop a vector-based landscape model coupled with an object-oriented model for animal dispersal. In this spatially explicit dispersal model, landscape features are defined based on their geographic and thematic properties and dispersal is modelled through consideration of an organism's behavior, movement rules and searching strategies (such as visual cues). We present the model's underlying concepts, its ability to adequately represent landscape features and provide simulation of dispersal according to different dispersal abilities. We demonstrate the potential of the model by simulating two virtual species in a real Swiss landscape. This illustrates the model's ability to simulate complex dispersal processes and provides information about dispersal such as colonization probability and spatial distribution of the organism's path.

Bayesian networks for evaluating forensic DNA profiling evidence: a review and guide to literature

Almost 30 years ago, Bayesian networks (BNs) were developed in the field of artificial intelligence as a framework that should assist researchers and practitioners in applying the theory of probability to inference problems of more substantive size and, thus, to more realistic and practical problems. Since the late 1980s, Bayesian networks have also attracted researchers in forensic science and this tendency has considerably intensified throughout the last decade. This review article provides an overview of the scientific literature that describes research on Bayesian networks as a tool that can be used to study, develop and implement probabilistic procedures for evaluating the probative value of particular items of scientific evidence in forensic science. Primary attention is drawn here to evaluative issues that pertain to forensic DNA profiling evidence because this is one of the main categories of evidence whose assessment has been studied through Bayesian networks. The scope of topics is large and includes almost any aspect that relates to forensic DNA profiling. Typical examples are inference of source (or, 'criminal identification'), relatedness testing, database searching and special trace evidence evaluation (such as mixed DNA stains or stains with low quantities of DNA). The perspective of the review presented here is not exclusively restricted to DNA evidence, but also includes relevant references and discussion on both, the concept of Bayesian networks as well as its general usage in legal sciences as one among several different graphical approaches to evidence evaluation.

Interactive local bandwidth choice

A tool for user choice of the local bandwidth function for a kernel density estimate is developed using KDE, a graphical object-oriented package for interactive kernel density estimation written in LISP-STAT. The bandwidth function is a cubic spline, whose knots are manipulated by the user in one window, while the resulting estimate appears in another window. A real data illustration of this method raises concerns, because an extremely large family of estimates is available.

Using graphical probability analysis (Bayes Nets) to evaluate a conditional DNA inclusion

This paper discusses the analysis of cases in which the inclusion or exclusion of a particular suspect, as a possible contributor to a DNA mixture, depends on the value of a variable (the number of contributors) that cannot be determined with certainty. It offers alternative ways to deal with such cases, including sensitivity analysis and object-oriented Bayesian networks, that separate uncertainty about the inclusion of the suspect from uncertainty about other variables. The paper presents a case study in which the value of DNA evidence varies radically depending on the number of contributors to a DNA mixture: if there are two contributors, the suspect is excluded; if there are three or more, the suspect is included; but the number of contributors cannot be determined with certainty. It shows how an object-oriented Bayesian network can accommodate and integrate varying perspectives on the unknown variable and how it can reduce the potential for bias by directing attention to relevant considerations and distinguishing different sources of uncertainty. It also discusses the challenge of presenting such evidence to lay audiences.

Landscape structure affects dispersal in the greater white-toothed shrew: inference between genetic and simulated ecological distances

Animal dispersal in a fragmented landscape depends on the complex interaction between landscape structure and animal behavior. To better understand how individuals disperse, it is important to explicitly represent the properties of organisms and the landscape in which they move. A common approach to modelling dispersal includes representing the landscape as a grid of equal sized cells and then simulating individual movement as a correlated random walk. This approach uses a priori scale of resolution, which limits the representation of all landscape features and how different dispersal abilities are modelled. We develop a vector-based landscape model coupled with an object-oriented model for animal dispersal. In this spatially explicit dispersal model, landscape features are defined based on their geographic and thematic properties and dispersal is modelled through consideration of an organism's behavior, movement rules and searching strategies (such as visual cues). We present the model's underlying concepts, its ability to adequately represent landscape features and provide simulation of dispersal according to different dispersal abilities. We demonstrate the potential of the model by simulating two virtual species in a real Swiss landscape. This illustrates the model's ability to simulate complex dispersal processes and provides information about dispersal such as colonization probability and spatial distribution of the organism's path

MORM--a Petri net based model for assessing OH&S risks in industrial processes: modeling qualitative aspects.

Because of the increase in workplace automation and the diversification of industrial processes, workplaces have become more and more complex. The classical approaches used to address workplace hazard concerns, such as checklists or sequence models, are, therefore, of limited use in such complex systems. Moreover, because of the multifaceted nature of workplaces, the use of single-oriented methods, such as AEA (man oriented), FMEA (system oriented), or HAZOP (process oriented), is not satisfactory. The use of a dynamic modeling approach in order to allow multiple-oriented analyses may constitute an alternative to overcome this limitation. The qualitative modeling aspects of the MORM (man-machine occupational risk modeling) model are discussed in this article. The model, realized on an object-oriented Petri net tool (CO-OPN), has been developed to simulate and analyze industrial processes in an OH&S perspective. The industrial process is modeled as a set of interconnected subnets (state spaces), which describe its constitutive machines. Process-related factors are introduced, in an explicit way, through machine interconnections and flow properties. While man-machine interactions are modeled as triggering events for the state spaces of the machines, the CREAM cognitive behavior model is used in order to establish the relevant triggering events. In the CO-OPN formalism, the model is expressed as a set of interconnected CO-OPN objects defined over data types expressing the measure attached to the flow of entities transiting through the machines. Constraints on the measures assigned to these entities are used to determine the state changes in each machine. Interconnecting machines implies the composition of such flow and consequently the interconnection of the measure constraints. This is reflected by the construction of constraint enrichment hierarchies, which can be used for simulation and analysis optimization in a clear mathematical framework. The use of Petri nets to perform multiple-oriented analysis opens perspectives in the field of industrial risk management. It may significantly reduce the duration of the assessment process. But, most of all, it opens perspectives in the field of risk comparisons and integrated risk management. Moreover, because of the generic nature of the model and tool used, the same concepts and patterns may be used to model a wide range of systems and application fields.

quantiNemo: an individual-based program to simulate quantitative traits with explicit genetic architecture in a dynamic metapopulation.

quantiNemo is an individual-based, genetically explicit stochastic simulation program. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits with varying architectures in structured populations connected by migration and located in a heterogeneous habitat. quantiNemo is highly flexible at various levels: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography, mating system, etc. quantiNemo is coded in C++ using an object-oriented approach and runs on any computer platform. Availability: Executables for several platforms, user's manual, and source code are freely available under the GNU General Public License at http://www2.unil.ch/popgen/softwares/quantinemo.

Bayesian Networks and the Value of the Evidence for the Forensic Two-Trace Transfer Problem

Forensic scientists face increasingly complex inference problems for evaluating likelihood ratios (LRs) for an appropriate pair of propositions. Up to now, scientists and statisticians have derived LR formulae using an algebraic approach. However, this approach reaches its limits when addressing cases with an increasing number of variables and dependence relationships between these variables. In this study, we suggest using a graphical approach, based on the construction of Bayesian networks (BNs). We first construct a BN that captures the problem, and then deduce the expression for calculating the LR from this model to compare it with existing LR formulae. We illustrate this idea by applying it to the evaluation of an activity level LR in the context of the two-trace transfer problem. Our approach allows us to relax assumptions made in previous LR developments, produce a new LR formula for the two-trace transfer problem and generalize this scenario to n traces.

Siirtyminen C-kielestä Pythoniin ohjelmoinnin perusopetuksessa

Ohjelmointitaito on asia, jonka oppimisesta ja opettamisesta voidaan olla montaa mieltä, eikä yhtä oikeaa tapaa toteuttaa ohjelmoinnin opetusta tunnu olevan olemassa. Se on kuitenkin selvää, että jotkin menetelmät ja työkalut tuntuvat olevan parempia kuin toiset. Lukuvuoden 2005-2006 päätteeksi Lappeenrannan teknillinen yliopisto päätti päivittää ohjelmoinnin perusopetusta, ja kokeili siirtymistä Python-ohjelmointikieleen ohjelmoinnin alkeiskursseilla. Koska kurssin varsinaiset muutokset keskittyivät tekniseen infrastruktuuriin, tutustuttiin alustavassa kirjallisuustutkimuksessa ensin erilaisiin lähestymistapoihin,aiempiin tapauksiin sekä mielekkäiden työkalujen löytämiseen. Tässä diplomityössä perehdytään ohjelmoinnin opetuksen työkaluihin sekä erityisesti Python-ohjelmointikielen hyödyntämiseen ohjelmoinnin perusopetuksessa. Diplomityö esittelee useita lähestymistapoja sekä keskittyy tutkimaan Pythonin soveltuvuutta alkeisopetuksen käyttötarkoituksiin. Diplomityö tutustuu myös Lappeenrannassa järjestetyn ohjelmoinnin perusteiden kurssin tuloksiin, ja analysoi sitä, pystyikö Python-pohjainen kurssi toteuttamaan teknisen yliopiston sille asettamat vaatimukset. Lopuksi aineistosta analysoidaan jatkotutkimuksen tarpeita sekä pyritään löytämään ne osa-alueet, joita näissä jatkotutkimuksissa tulisi vielä kehittää.