Reliability and quality in the area of statistical thinking in Engineering

There is remarkable growing concern about the quality control at the time, which has led to the search for methods capable of addressing effectively the reliability analysis as part of the Statistic. Managers, researchers and Engineers must understand that 'statistical thinking' is not just a set of statistical tools. They should start considering 'statistical thinking' from a 'system', which means, developing systems that meet specific statistical tools and other methodologies for an activity. The aim of this article is to encourage them (engineers, researchers and managers) to develop a new way of thinking.

Comparison and Assessment of Two Emission inventories for the Madrid Region

Emission inventories are databases that aim to describe the polluting activities that occur across a certain geographic domain. According to the spatial scale, the availability of information will vary as well as the applied assumptions, which will strongly influence its quality, accuracy and representativeness. This study compared and contrasted two emission inventories describing the Greater Madrid Region (GMR) under an air quality simulation approach. The chosen inventories were the National Emissions Inventory (NEI) and the Regional Emissions Inventory of the Greater Madrid Region (REI). Both of them were used to feed air quality simulations with the CMAQ modelling system, and the results were compared with observations from the air quality monitoring network in the modelled domain. Through the application of statistical tools, the analysis of emissions at cell level and cell – expansion procedures, it was observed that the National Inventory showed better results for describing on – road traffic activities and agriculture, SNAP07 and SNAP10. The accurate description of activities, the good characterization of the vehicle fleet and the correct use of traffic emission factors were the main causes of such a good correlation. On the other hand, the Regional Inventory showed better descriptions for non – industrial combustion (SNAP02) and industrial activities (SNAP03). It incorporated realistic emission factors, a reasonable fuel mix and it drew upon local information sources to describe these activities, while NEI relied on surrogation and national datasets which leaded to a poorer representation. Off – road transportation (SNAP08) was similarly described by both inventories, while the rest of the SNAP activities showed a marginal contribution to the overall emissions.

Modelización de un proceso de biorremediación de suelos contaminados con gasoil

El objeto de esta tesis doctoral es encontrar, mediante herramientas estadísticas, un modelo matemático que prediga la evolución temporal de las concentraciones de los hidrocarburos totales del petróleo (TPH) en un proceso de biorremediación de suelos contaminados con gasoleo. Obtenido el modelo matemático realizar las comparaciones pertinentes para determinar la eficiencia de distintos tratamientos, la influencia tanto del suelo como del nivel de concentración. Para cumplir este objetivo se realizó un diseño de experimentos que tomaba en cuenta dos tipos de suelos, dos niveles de concentración de hidrocarburo y seis tratamientos. Se realizaron en total 1824 ensayos en laboratorio repartidos en 8 campañas de campo durante un año de experiencia tanto en parcelas de 4 x 4 m como en microcosmos. Los resultados obtenidos muestran que el proceso de biorremediación se puede ajustar a un comportamiento exponencial, que es una ecuación de cinética de primer orden, y que las comparaciones realizadas han mostrado resultados satisfactorios de la eficiencia de algunos tratamientos. ABSTRACT The purpose of this thesis is using statistical tools find a mathematical model to predict the time evolution of the total petroleum hydrocarbons (TPH) concentrations in the bioremediation process of diesel contaminated soil. Retrieved mathematical model make relevant comparisons to determine the efficiency of different treatments and the influence of both soil and concentration levels. To achieve this goal a design of experiments was developed, it took into account two types of soil, two concentration levels of hydrocarbon and six treatments. There were a total of 1824 laboratory tests spread over 8 field campaigns during a year of experience in both plots of 4 x 4 m in microcosm. The results obtained show that the bioremediation process can be adjusted to an exponential model, it is an equation of kinetic of first order and that the comparisons have shown satisfactory results of the efficiency of some treatments.

Sistemas de Gestión de la Calidad. Metodología para implementar proyectos de mejora continua para la reducción de los defectos de construcción en edificación de viviendas

La mejora continua debería estar presente siempre en las empresas, dispongan o no de sistemas de gestión. Sin embargo, su aplicación en el sector de la construcción es especialmente difícil debido a las características particulares del mismo. Por este motivo se plantea el objetivo principal de esta Tesis Doctoral: “Establecer una metodología de trabajo que permita a las empresas constructoras implantar proyectos de mejora continua para incrementar la calidad de las viviendas entregadas a los usuarios”. En la investigación llevada a cabo se han inspeccionado 818 viviendas, recogiendo un total de 82.550 incidencias, las cuales se han analizado aplicando cuatro de las siete herramientas estadísticas básicas de la mejora continua (Hoja de recogida de datos, Estratificación, Histograma y Diagrama de Pareto), concluyendo que los tres oficios que concentran el 80% de los defectos, en los que convendría actuar para reducir de manera significativa los fallos de construcción en la fase de pre-entrega, son: Carpintería de Madera, Revestimientos Cerámicos e Instalación de Electricidad. De entre estos tres oficios se ha seleccionado el de Revestimientos Cerámicos para poner en práctica un proyecto de mejora continua. Analizando los datos relativos a este oficio se elabora un listado de 25 defectos tipo en los que se pueden agrupar todas las incidencias detectadas. Aplicando de nuevo las cuatro herramientas básicas de la calidad se destacan los 10 defectos tipo con mayor impacto en volumen de incidencias y en coste de reparación, para focalizar los esfuerzos de mejora. Con esta información se elabora un documento de criterios técnicos para la ejecución de los Revestimientos Cerámicos que se implanta, en parte, en varias obras para tratar de reducir los defectos detectados en las viviendas antes de la entrega a sus propietarios, y se definen unos Índices de Calidad para medir los resultados. Se toman datos de nuevo a 6 y 20 meses desde la implantación del protocolo, se analizan y se calculan los resultados del proyecto de mejora, concluyendo que se está avanzando positivamente. En base a toda la información recogida a lo largo del proceso de la investigación y de la experiencia del proyecto de mejora implantado, se presenta una propuesta de metodología para implementar proyectos de mejora, así como la documentación recomendada para su puesta en práctica, además de la documentación técnica específica para la prevención de los defectos de construcción en Revestimientos Cerámicos incluyendo las fichas de control para la recepción de materiales, control de ejecución y control de recepción del revestimiento terminado. ABSTRACT Continuous improvement should always be a core value in firms of all kinds, whether or not they implement management systems. Nevertheless, its application in the construction sector seems especially difficult due to its inherent intricacies and complexity. The study of this phenomenon is the main aim of the hereby presented PhD dissertation "Establishment of a working methodology that allows construction (related) firms to carry out projects of continuous improvement in order to increase the quality of housing upon delivery to the client". In the present research 818 housing units have been inspected, collecting a total of 82550 incidence entries, which have been analyzed by means of 4 out of the 7 basic statistical tools of continuous improvement: Data collection sheets, stratification, histogram, and Pareto diagram. The data shows that the 3 main trades where special actions should be taken in order to significantly reduce construction defects are: carpentry, ceramic cladding, and electricity systems. These trades combined account for the 80% of the total defects detected during the inspections. Among the mentioned works, ceramic tiling is selected as a continuous improvement case study project. Analysing data relative to this specific trade, a list of 25 defect types is developed. These types gather all detected defects under this group. Further applying the four statistical tools referred to above, the 10 most significant events are highlighted as to clearly determine the improvement measures. These events have the most impact on both volume of defects and reparation costs. This information is then put together in a document of technical criteria for the correct execution of ceramic tiling that is implemented in various ongoing projects under construction as to minimize the defects prior to the final delivery to the client. Also, a series of Quality Index are defined as criteria for execution suitability. 6 to 20 months after the implementation of this control protocol, the same process is repeated with the purpose of comparing results. It is concluded that a positive evolution takes place. Based both on the information collected throughout the research process and the experience of the case study, the dissertation proposes a methodology to successfully implement improvement projects along with reference documentation and specific technical documents for the prevention of construction defects in ceramic tiling, including (i) material reception control sheets, (ii) an execution control sheet, and a sheet relative to the (iii) control of the finished cladding.

Change of extreme rainfall indexes at Ebro River Basin

The purpose of this work is to provide a description of the heavy rainfall phenomenon on statistical tools from a Spanish region. We want to quantify the effect of the climate change to verify the rapidity of its evolution across the variation of the probability distributions. Our conclusions have special interest for the agrarian insurances, which may make estimates of costs more realistically. In this work, the analysis mainly focuses on: The distribution of consecutive days without rain for each gauge stations and season. We estimate density Kernel functions and Generalized Pareto Distribution (GPD) for a network of station from the Ebro River basin until a threshold value u. We can establish a relation between distributional parameters and regional characteristics. Moreover we analyze especially the tail of the probability distribution. These tails are governed by law of power means that the number of events n can be expressed as the power of another quantity x : n(x) = x? . ? can be estimated as the slope of log-log plot the number of events and the size. The most convenient way to analyze n(x) is using the empirical probability distribution. Pr(X mayor que x) ? x-?. The distribution of rainfall over percentile of order 0.95 from wet days at the seasonal scale and in a yearly scale with the same treatment of tails than in the previous section.

A short critical history of the application of genomics to animal breeding

Two scientific schools have been in coexistence from the beginning of genetics, one of them searching for factors of inheritance and the other one applying biometrical models to study the relationships between relatives. With the development of molecular genetics, the possibilities of detecting genes having a noticeable effect in traits augmented. Some genes with large or medium effects were localized in animals, although the most common result was to detect markers linked to these genes, allowing the possibility of assisting selection programs with markers. When a large amount of simple and inexpensive markers were available, the SNPs, new possibilities were opened since they did not need the presence of genes of large or medium effect controlling a trait, because the whole genome was scanned. Using a large amount of SNPs permits having a prediction of the breeding value at birth accurate enough to be used in some cases, like dairy cattle, to halve its generation interval. In other animal breeding programs, the implementation of genomic selection is less clear and the way in which it can be useful should be carefully studied. The need for large populations for associating phenotypic data and markers, plus the need for repeating the process continuously, complicates its application in some cases. The implementation of the information provided by the SNPs in current genetic programs has led to the development of complex statistical tools, joining the efforts of the two schools, factorial and biometrical, that nowadays work closely related.

Student academic performance stochastic simulator based on the Monte Carlo method

In this paper, a computer-based tool is developed to analyze student performance along a given curriculum. The proposed software makes use of historical data to compute passing/failing probabilities and simulates future student academic performance based on stochastic programming methods (MonteCarlo) according to the specific university regulations. This allows to compute the academic performance rates for the specific subjects of the curriculum for each semester, as well as the overall rates (the set of subjects in the semester), which are the efficiency rate and the success rate. Additionally, we compute the rates for the Bachelors degree, which are the graduation rate measured as the percentage of students who finish as scheduled or taking an extra year and the efficiency rate (measured as the percentage of credits of the curriculum with respect to the credits really taken). In Spain, these metrics have been defined by the National Quality Evaluation and Accreditation Agency (ANECA). Moreover, the sensitivity of the performance metrics to some of the parameters of the simulator is analyzed using statistical tools (Design of Experiments). The simulator has been adapted to the curriculum characteristics of the Bachelor in Engineering Technologies at the Technical University of Madrid(UPM).

Machine Learning in Scientometrics

El aprendizaje automático y la cienciometría son las disciplinas científicas que se tratan en esta tesis. El aprendizaje automático trata sobre la construcción y el estudio de algoritmos que puedan aprender a partir de datos, mientras que la cienciometría se ocupa principalmente del análisis de la ciencia desde una perspectiva cuantitativa. Hoy en día, los avances en el aprendizaje automático proporcionan las herramientas matemáticas y estadísticas para trabajar correctamente con la gran cantidad de datos cienciométricos almacenados en bases de datos bibliográficas. En este contexto, el uso de nuevos métodos de aprendizaje automático en aplicaciones de cienciometría es el foco de atención de esta tesis doctoral. Esta tesis propone nuevas contribuciones en el aprendizaje automático que podrían arrojar luz sobre el área de la cienciometría. Estas contribuciones están divididas en tres partes: Varios modelos supervisados (in)sensibles al coste son aprendidos para predecir el éxito científico de los artículos y los investigadores. Los modelos sensibles al coste no están interesados en maximizar la precisión de clasificación, sino en la minimización del coste total esperado derivado de los errores ocasionados. En este contexto, los editores de revistas científicas podrían disponer de una herramienta capaz de predecir el número de citas de un artículo en el fututo antes de ser publicado, mientras que los comités de promoción podrían predecir el incremento anual del índice h de los investigadores en los primeros años. Estos modelos predictivos podrían allanar el camino hacia nuevos sistemas de evaluación. Varios modelos gráficos probabilísticos son aprendidos para explotar y descubrir nuevas relaciones entre el gran número de índices bibliométricos existentes. En este contexto, la comunidad científica podría medir cómo algunos índices influyen en otros en términos probabilísticos y realizar propagación de la evidencia e inferencia abductiva para responder a preguntas bibliométricas. Además, la comunidad científica podría descubrir qué índices bibliométricos tienen mayor poder predictivo. Este es un problema de regresión multi-respuesta en el que el papel de cada variable, predictiva o respuesta, es desconocido de antemano. Los índices resultantes podrían ser muy útiles para la predicción, es decir, cuando se conocen sus valores, el conocimiento de cualquier valor no proporciona información sobre la predicción de otros índices bibliométricos. Un estudio bibliométrico sobre la investigación española en informática ha sido realizado bajo la cultura de publicar o morir. Este estudio se basa en una metodología de análisis de clusters que caracteriza la actividad en la investigación en términos de productividad, visibilidad, calidad, prestigio y colaboración internacional. Este estudio también analiza los efectos de la colaboración en la productividad y la visibilidad bajo diferentes circunstancias. ABSTRACT Machine learning and scientometrics are the scientific disciplines which are covered in this dissertation. Machine learning deals with the construction and study of algorithms that can learn from data, whereas scientometrics is mainly concerned with the analysis of science from a quantitative perspective. Nowadays, advances in machine learning provide the mathematical and statistical tools for properly working with the vast amount of scientometrics data stored in bibliographic databases. In this context, the use of novel machine learning methods in scientometrics applications is the focus of attention of this dissertation. This dissertation proposes new machine learning contributions which would shed light on the scientometrics area. These contributions are divided in three parts: Several supervised cost-(in)sensitive models are learned to predict the scientific success of articles and researchers. Cost-sensitive models are not interested in maximizing classification accuracy, but in minimizing the expected total cost of the error derived from mistakes in the classification process. In this context, publishers of scientific journals could have a tool capable of predicting the citation count of an article in the future before it is published, whereas promotion committees could predict the annual increase of the h-index of researchers within the first few years. These predictive models would pave the way for new assessment systems. Several probabilistic graphical models are learned to exploit and discover new relationships among the vast number of existing bibliometric indices. In this context, scientific community could measure how some indices influence others in probabilistic terms and perform evidence propagation and abduction inference for answering bibliometric questions. Also, scientific community could uncover which bibliometric indices have a higher predictive power. This is a multi-output regression problem where the role of each variable, predictive or response, is unknown beforehand. The resulting indices could be very useful for prediction purposes, that is, when their index values are known, knowledge of any index value provides no information on the prediction of other bibliometric indices. A scientometric study of the Spanish computer science research is performed under the publish-or-perish culture. This study is based on a cluster analysis methodology which characterizes the research activity in terms of productivity, visibility, quality, prestige and international collaboration. This study also analyzes the effects of collaboration on productivity and visibility under different circumstances.

Identidad, apropiación, sentido de comunidad y satisfacción residencial: claves de análisis para los estudios urbanos y la planificación. El caso del barrio Embajadores, Madrid

Las rápidas y continuas transformaciones urbanas que experimentan las ciudades actuales han generado importantes cambios en la forma en que se vive, experimenta y percibe la vida en ellas. Estos procesos de transformación, a veces fruto del rápido crecimiento de los entornos urbanos, de su heterogeneidad, de sus dinámicas económicas, de la confrontación de las diferencias sociales de los habitantes o simplemente producto de nuevos usos en los entornos, han propiciado un creciente interés por comprender el efecto que un determinado contexto urbano tiene sobre el individuo y viceversa. O dicho de forma más general, se ha buscado comprender la relación entre el ser humano y el entorno. Así, más recientemente, la atención de muchos estudios se ha posado también en los patrones de uso de los espacios, los cuales van acompañados de una infinidad de cogniciones y valoraciones surgidas en los residentes producto de sus experiencias con el entorno construido. Dentro del desarrollo de estas investigaciones, han surgido una gran variedad de conceptos que han sido identificados por la trascendencia que tienen sobre el vínculo entre el individuo y el contexto, entre los cuales encontramos los conceptos de Identidad, Apropiación de lugar, Sentido de Comunidad y Satisfacción residencial. Este trabajo, tomando como base estos cuatro conceptos, se ha preocupado por comprender la forma en que éstos se relacionan con una serie de variables socio-demográficas, físico-urbanas y cognitivas en la dimensión urbana, con el propósito de valorar el poder de estos constructos —y las variables vinculadas— con los procesos de transformación urbana. La finalidad de la realización de dicho análisis se sustenta en poder identificar como estos factores son tomados en consideración en el urbanismo para así poder reconocer diversas opciones para mediar o incidir sobre estas variables desde las políticas públicas, la planificación urbana o el proyecto urbano. Esto pues, se parte del entendimiento de que la práctica urbanística tiene la opción de interceder sobre una serie de cuestiones que afectan directamente el bienestar y la calidad de vida de las personas, por lo cual su absoluto entendimiento sobre los efectos que fenómenos urbanos como éstos tienen sobre los entornos, es de gran transcendencia para la disciplina. Por tanto, esta investigación ha recopilado y analizado, mediante diferentes herramientas estadísticas, gran cantidad de datos provenientes de una encuesta realizada en un barrio de la ciudad de Madrid, que le han permitido identificar las variables que más peso tienen en los procesos urbanos que desembocan en una mayor Identificación, Apropiación, Sentido de Comunidad y Satisfacción Residencial en el individuo. Esta primera etapa, permitió posteriormente indagar, con ayuda de un panel de expertos urbanistas, sobre las posibilidades de la disciplina para mediar o interceder sobre esos aspectos, lo que nos permitió finalmente alcanzar algunos resultados y conclusiones que permiten valorar las opciones de las diferentes escalas de intervención urbana y los retos de cara al futuro de trabajos sobre esta temática. ABSTRACT The fast and continuous urban transformations that current major cities experience, have generated important changes in the way in which we live, experience and perceive life in them. These transformation processes, sometimes result of rapid growth of urban environments, of their heterogeneity, of their economic dynamics, of the confrontation of social differences amongst its population or just as a product of new ways environments are used, have led to a growing interest in understanding the effect that a given urban context has on the individual and vice versa. In other words, it’s sought to understand the relationship between human beings and the environment. Thus, more recently, the attention of many studies have also focused in the patterns of use of space, which are accompanied by a multitude of cognitions and valuations arising in residents product of their experiences with the built environment. Within the development of those investigations, there have been a great variety of concepts that have been identified due to the importance they have on the relationship between the individual and the context, among which are the concepts of identity, appropriation of place, sense of community and residential satisfaction. This work, based on these four concepts, has been concerned with understanding how they relate to a series of socio-demographic, physical and cognitive variables in an urban dimension, in order to assess the power of these constructs —and related variables— with urban transformation processes. The purpose of that analysis is based on being able to identify how these factors are taken into consideration in planning, in order to recognize different options to mediate or influence on these variables from public policies, urban planning or urban project. This then, is on the understanding that the planning practice has the option to intercede on a number of issues that directly affect the welfare and quality of life of people, so the absolute understanding of the effects of urban phenomena like these have over environments, is of great importance to the discipline. Therefore, this research has collected and analyzed, using different statistical tools, lots of data obtained from a survey performed in a neighborhood of the city of Madrid, which enabled it to identify the variables that have more weight in urban processes that lead in higher identification, appropriation, sense of community and residential satisfaction in the individual. This first step, then allows investigating, with the help of a panel of expert planners, on the possibility of the discipline to mediate or intercede on these aspects, which ultimately enabled us to achieve some results and conclusions that allow evaluating the options of different scales of urban intervention and challenges for the future of work on this subject.

Simulation tools for statistical model comparison: an application to unobserved componenet models versus dynamic regression models

Aplicación de simulación de Monte Carlo y técnicas de Análisis de la Varianza (ANOVA) a la comparación de modelos estocásticos dinámicos para accidentes de tráfico.

Architectural design and construction costs, tools towards territorial sustainability

This paper is presented in CIB: Management and Innovation Sustainable Built Environment 2011, as the study and analysis of the residential model of a rural area from the Iberian Peninsula, specifically applied to the case of the province of Cáceres, in the autonomous region of Extremadura, in Spain. To this end, from a database made up of building projects whose real costs are known, it is intended to establish the links of the different parameters studied through the corresponding functions of statistical analysis. One of the main objectives of this process is constituted by the possibility of establishing those design variables of higher economic importance, so as to keep an economic control of these parameters, generally geometrical and typological, from the very start of the project. And, in general, a higher optimization of resources in the construction of dwellings in the rural environment from their design is intended.

Methods and Tools for Objective Assessment of Psychomotor Skills in Laparoscopic Surgery

Training and assessment paradigms for laparoscopic surgical skills are evolving from traditional mentor–trainee tutorship towards structured, more objective and safer programs. Accreditation of surgeons requires reaching a consensus on metrics and tasks used to assess surgeons’ psychomotor skills. Ongoing development of tracking systems and software solutions has allowed for the expansion of novel training and assessment means in laparoscopy. The current challenge is to adapt and include these systems within training programs, and to exploit their possibilities for evaluation purposes. This paper describes the state of the art in research on measuring and assessing psychomotor laparoscopic skills. It gives an overview on tracking systems as well as on metrics and advanced statistical and machine learning techniques employed for evaluation purposes. The later ones have a potential to be used as an aid in deciding on the surgical competence level, which is an important aspect when accreditation of the surgeons in particular, and patient safety in general, are considered. The prospective of these methods and tools make them complementary means for surgical assessment of motor skills, especially in the early stages of training. Successful examples such as the Fundamentals of Laparoscopic Surgery should help drive a paradigm change to structured curricula based on objective parameters. These may improve the accreditation of new surgeons, as well as optimize their already overloaded training schedules.

Tools in Spanish Universities to facilitate the transmission from High School to University and their assessment.

Incoming students in the University have education deficiencies, so universities studies require a sound basis of scientific knowledge. In this project are analysed instruments to reinforcing knowledge in those areas related to the studies that students are about to embark on public Spanish universities. There are important differences among universities and, in each university there are great differences among titles. Initial courses (cursos cero) are widespread (in 50% of universities) that selfevaluation instruments (14 % of universities). It is necessary to improve diffusion of those instruments because it is not possible to evaluate them. So are proposed the next actuations: to make regular standard surveys for professors and students; to publish results of surveys; public universities should institutionalize their basic training offer and improve the dissemination of this offer especially through the web. This paper presents a questionnaire to assess student opinion about these tools. To analyze the effectiveness, and make an initial estimate of the evaluation of these tools, we conducted a pilot test of the questionnaire with 68 students at the University of Extremadura. The results of preliminary statistical analysis conducted on the pilot test indicate that the survey results are reliable. A global evaluation of both tools, with a scale of 1 to 5, gave an average score of 3.29 for initial courses and 3.41 for selfevaluation. The 72.9% of the students consider the "self assessment" more effective than the "initial course"