La evaluación y el cambio institucional en la sociedad del conocimiento : un estudio de caso en la Universidad del Valle - Colombia

Les sociétés contemporaines affrontent le défi de s’intégrer et s’adapter à un processus de transformation qui vise la construction de sociétés du savoir. Ce processus doit notamment son élan aux institutions d’enseignement supérieur qui constituent un espace privilégié où on bâtit l’avenir d’une société à partir des savoirs et celles-ci doivent faire face aux nouveaux enjeux sociaux, économiques et politiques qui affectent tous les pays du monde. La quête de la qualité devient donc un processus constant d’amélioration et surgit l’intérêt par l’évaluation au niveau universitaire. Par conséquent, cette recherche s’attache au sujet de l’évaluation à l’enseignement supérieur et s’enfonce dans le débat actuel sur les changements provoqués par les évaluations institutionnelles produisant un défi puisqu’il s’agit d’une prise de conscience fondée sur la culture de la qualité. L’autoévaluation est une stratégie permettant aux institutions d’enseignement supérieur mener des processus intégraux de valorisation dont le but est d’identifier les faiblesses des facteurs qui ont besoin d’améliorer. Le résultat conduit à l’élaboration et à la mise en œuvre d’un plan d’amélioration pour l'institution, programme académique ou plan d’études. À travers l’orientation du modèle d’évaluation systémique CIPP de Stufflebeam (1987), on a pu analyser de façon holistique la mise en place de l’autoévaluation depuis son contexte, planification, processus et produit. Ainsi les objectifs de la thèse visent l’identification du développement de la deuxième autoévaluation afin d’obtenir une reconnaissance de haute qualité et effectuer la mise en œuvre du plan d’amélioration auprès des programmes académiques de Licence en Comptabilité et Gestion de l’entreprise de la Faculté de Sciences de l’Administration de l’Université du Valle en Colombie. À travers l’appropriation de la théorie Neo-institutionnelle les changements apparus après l’autoévaluation ont été également analysés et interprétés et ont ainsi permis l’achèvement des fins de la recherche. La méthodologie développe la stratégie de l’étude de cas dans les deux programmes académiques avec une approche mixte où la phase qualitative des entretiens semi-structurés est complémentée par la phase quantitative des enquêtes. Des documents institutionnels des programmes et de la faculté ont aussi été considérés. Grâce à ces trois instruments ont pu obtenir plus d’objectivité et d’efficacité pendant la recherche. Les résultats dévoilent que les deux programmes ciblés ont recouru à des procédés et à des actions accordées au modèle de l’Université du Valle quoiqu’il ait fallu faire des adaptations à leurs propres besoins et pertinence ce qui a permis de mener à terme la mise en œuvre du processus d’autoévaluation et ceci a donné lieu à certains changements. Les composantes Processus Académiques et Enseignants sont celles qui ont obtenu le plus fort développement, parmi celles-ci on trouve également : Organisation, Administration et Gestion, Ressources Humaines, Physiques et Financières. D’autre part, parmi les composantes moins développées on a : Anciens Étudiants et Bienêtre Institutionnel. Les conclusions ont révélé que se servir d’un cadre institutionnel fort donne du sens d’identité et du soutien aux programmes. Il faut remarquer qu’il est essentiel d’une part élargir la communication de l’autoévaluation et ses résultats et d’autre part effectuer un suivi permanent des plans d’amélioration afin d’obtenir des changements importants et produire ainsi un enracinement plus fort de la culture de la qualité et l’innovation auprès de la communauté académique. Les résultats dégagés de cette thèse peuvent contribuer à mieux comprendre tant la mise en œuvre de l’autoévaluation et des plans d’amélioration aussi que les aspects facilitateurs, limitants, les blocages aux processus d’évaluation et la génération de changements sur les programmes académiques. Dans ce sens, la recherche devient un guide et une réflexion à propos des thèmes où les résultats sont très faibles. Outre, celle-ci révèle l’influence des cadres institutionnels ainsi que les entraves et tensions internes et externes montrant un certain degré d’agencement par le biais de stratégies de la part des responsables de la prise de décisions dans les universités. On peut déduire que la qualité, l’évaluation, le changement et l’innovation sont des concepts inhérents à la perspective de l’apprentissage organisationnel et à la mobilité des savoirs.

L'effet de l'allongement de la durée des conventions collectives sur les relations du travail locales en entreprise

Cette recherche s’intéresse au phénomène qu’est l’allongement de la durée des conventions collectives. Avant juin 1994, la durée maximale d’une convention collective était fixée à trois ans. La venue de la mondialisation a chamboulé les entreprises qui, elles, pour s’adapter et survivre à cette nouvelle réalité et demeurer compétitives, ont dû procéder à des investissements majeurs, des restructurations, miser sur des relations de partenariat avec les syndicats, etc. (Boivin, 1998). Pour ce faire, elles devaient s’assurer d’obtenir une stabilité et une paix industrielle (Grant et Paquet, 1998). C’est à ce moment que nous avons vu l’apparition d’ententes qui visaient à prolonger la durée maximale des conventions collectives, fixées à trois ans, sans contrevenir aux différentes dispositions du Code du travail (L.R.Q. c.C-27). Ces « contrats sociaux » devaient compter différentes caractéristiques particulières. C’est le 10 mai 1994 que le législateur québécois a déplafonné la durée des conventions collectives (Mayer, 1999). Tel qu’établi, les transformations au niveau de l’environnement ont poussé les acteurs à revoir leurs façons de faire. Cela a mené à une déconflictualisation des relations du travail (Jalette, Bourque et Laroche, 2008). Les acteurs ont adopté des stratégies de négociation de plus en plus coopératives, ils ont eu un recours accru à la concertation, et ont développé une relation de partenariat (Maschino et coll., 2001). Nous observons en parallèle à une tendance à l’allongement de la durée des conventions collectives. Nous nous questionnons à savoir ce qui a principalement motivé autant les syndicats à négocier ce type d’entente et ainsi, renoncer à leur droit de grève, et aussi quels sont les avantages ou inconvénients pour les employeurs de négocier de telles ententes. De manière plus spécifique, notre question de recherche est la suivante : Quels sont les effets de l’allongement de la durée des conventions collectives sur les relations du travail locales en entreprise? Notre analyse vise à vérifier six propositions de recherche : 1- Les relations du travail sont transformées par la durée d’une convention collective de travail, laquelle est influencée par l’environnement. 2- L’allongement de la durée des conventions collectives de travail amène les parties à davantage recourir à des stratégies de négociation intégrative. 3- L’allongement de la durée des conventions collectives de travail contribue à diminuer le nombre de conflits de travail 4- L’allongement de la durée des conventions collectives de travail change la nature des manifestations du conflit sur le marché du travail. 5- L’allongement de la durée des conventions collectives transforme le contenu des conventions collectives de travail par l’intégration de clauses nouvelles. 6- L’allongement de la durée des CCT diminue le rapport de force du syndicat. Dans le but de répondre à ces différents questionnements, nous avons utilisé une méthodologie qualitative de recherche et plus précisément, l’étude de cas. Cette dernière fut conduite en trois étapes : la préparation, la collecte de données et l’interprétation (Merriam, 1998). Les données de notre étude ont été colligées durant l’été et l’automne 2010. Tout d’abord, nous avons effectué des entretiens semi structuré à l’aide d’une grille d’entrevue. Cette grille d’entrevue fut adaptée en fonction des acteurs rencontrés, et surtout de la partie qu’ils représentent. Nous avons interrogé les acteurs tant patronaux que syndicaux, c’est-à-dire : du côté patronal, nous avons rencontré les responsables des relations du travail oeuvrant au siège social ainsi que les conseillers en relations du travail en charge de négocier ou d’appliquer la convention collective des différents établissements couverts par l’étude. Du côté syndical, nous avons rencontré les conseillers syndicaux en charge également de négocier la convention collective et de veiller à son application. Au total, nous avons mené onze entretiens. En guise de comparaison, nous avons aussi procédé à une analyse de contenu de 139 conventions collectives du secteur de l’alimentation. Nous cherchions à savoir si les conventions collectives de longue durée avaient tendance à comporter majoritairement une plus grande présence de clauses en lien avec les 7 caractéristiques des « contrats sociaux » mentionnées par Mayer (1999). Ces caractéristiques sont les suivantes : transparence économique et de gestion, participation à la gestion, programme de qualité totale, formation, flexibilité dans l’organisation du travail, stabilité de l’emploi et mécanismes de gestion de l’entente. Mots clés : allongement, durée, conventions collectives, relations du travail, loi 116, déplafonnement des conventions collectives, NBI et concertation.

Consequence modelling,vulnerability assessment and fuzzy fault tree analysis of hazardous storages in an industrial area

The hazards associated with major accident hazard (MAH) industries are fire, explosion and toxic gas releases. Of these, toxic gas release is the worst as it has the potential to cause extensive fatalities. Qualitative and quantitative hazard analyses are essential for the identitication and quantification of the hazards associated with chemical industries. This research work presents the results of a consequence analysis carried out to assess the damage potential of the hazardous material storages in an industrial area of central Kerala, India. A survey carried out in the major accident hazard (MAH) units in the industrial belt revealed that the major hazardous chemicals stored by the various industrial units are ammonia, chlorine, benzene, naphtha, cyclohexane, cyclohexanone and LPG. The damage potential of the above chemicals is assessed using consequence modelling. Modelling of pool fires for naphtha, cyclohexane, cyclohexanone, benzene and ammonia are carried out using TNO model. Vapor cloud explosion (VCE) modelling of LPG, cyclohexane and benzene are carried out using TNT equivalent model. Boiling liquid expanding vapor explosion (BLEVE) modelling of LPG is also carried out. Dispersion modelling of toxic chemicals like chlorine, ammonia and benzene is carried out using the ALOHA air quality model. Threat zones for different hazardous storages are estimated based on the consequence modelling. The distance covered by the threat zone was found to be maximum for chlorine release from a chlor-alkali industry located in the area. The results of consequence modelling are useful for the estimation of individual risk and societal risk in the above industrial area.Vulnerability assessment is carried out using probit functions for toxic, thermal and pressure loads. Individual and societal risks are also estimated at different locations. Mapping of threat zones due to different incident outcome cases from different MAH industries is done with the help of Are GIS.Fault Tree Analysis (FTA) is an established technique for hazard evaluation. This technique has the advantage of being both qualitative and quantitative, if the probabilities and frequencies of the basic events are known. However it is often difficult to estimate precisely the failure probability of the components due to insufficient data or vague characteristics of the basic event. It has been reported that availability of the failure probability data pertaining to local conditions is surprisingly limited in India. This thesis outlines the generation of failure probability values of the basic events that lead to the release of chlorine from the storage and filling facility of a major chlor-alkali industry located in the area using expert elicitation and proven fuzzy logic. Sensitivity analysis has been done to evaluate the percentage contribution of each basic event that could lead to chlorine release. Two dimensional fuzzy fault tree analysis (TDFFTA) has been proposed for balancing the hesitation factor invo1ved in expert elicitation .

Re-engineering and Re-defining University Libraries in the context of modern Information and Communication Technologies: a study with special reference to the University Libraries in Kerala

Information and communication technologies are the tools that underpin the emerging “Knowledge Society”. Exchange of information or knowledge between people and through networks of people has always taken place. But the ICT has radically changed the magnitude of this exchange, and thus factors such as timeliness of information and information dissemination patterns have become more important than ever.Since information and knowledge are so vital for the all round human development, libraries and institutions that manage these resources are indeed invaluable. So, the Library and Information Centres have a key role in the acquisition, processing, preservation and dissemination of information and knowledge. ln the modern context, library is providing service based on different types of documents such as manuscripts, printed, digital, etc. At the same time, acquisition, access, process, service etc. of these resources have become complicated now than ever before. The lCT made instrumental to extend libraries beyond the physical walls of a building and providing assistance in navigating and analyzing tremendous amounts of knowledge with a variety of digital tools. Thus, modern libraries are increasingly being re-defined as places to get unrestricted access to information in many formats and from many sources.The research was conducted in the university libraries in Kerala State, India. lt was identified that even though the information resources are flooding world over and several technologies have emerged to manage the situation for providing effective services to its clientele, most of the university libraries in Kerala were unable to exploit these technologies at maximum level. Though the libraries have automated many of their functions, wide gap prevails between the possible services and provided services. There are many good examples world over in the application of lCTs in libraries for the maximization of services and many such libraries have adopted the principles of reengineering and re-defining as a management strategy. Hence this study was targeted to look into how effectively adopted the modern lCTs in our libraries for maximizing the efficiency of operations and services and whether the principles of re-engineering and- redefining can be applied towards this.Data‘ was collected from library users, viz; student as well as faculty users; library ,professionals and university librarians, using structured questionnaires. This has been .supplemented by-observation of working of the libraries, discussions and interviews with the different types of users and staff, review of literature, etc. Personal observation of the organization set up, management practices, functions, facilities, resources, utilization of information resources and facilities by the users, etc. of the university libraries in Kerala have been made. Statistical techniques like percentage, mean, weighted mean, standard deviation, correlation, trend analysis, etc. have been used to analyse data.All the libraries could exploit only a very few possibilities of modern lCTs and hence they could not achieve effective Universal Bibliographic Control and desired efficiency and effectiveness in services. Because of this, the users as well as professionals are dissatisfied. Functional effectiveness in acquisition, access and process of information resources in various formats, development and maintenance of OPAC and WebOPAC, digital document delivery to remote users, Web based clearing of library counter services and resources, development of full-text databases, digital libraries and institutional repositories, consortia based operations for e-journals and databases, user education and information literacy, professional development with stress on lCTs, network administration and website maintenance, marketing of information, etc. are major areas need special attention to improve the situation. Finance, knowledge level on ICTs among library staff, professional dynamism and leadership, vision and support of the administrators and policy makers, prevailing educational set up and social environment in the state, etc. are some of the major hurdles in reaping the maximum possibilities of lCTs by the university libraries in Kerala. The principles of Business Process Re-engineering are found suitable to effectively apply to re-structure and redefine the operations and service system of the libraries. Most of the conventional departments or divisions prevailing in the university libraries were functioning as watertight compartments and their existing management system was more rigid to adopt the principles of change management. Hence, a thorough re-structuring of the divisions was indicated. Consortia based activities and pooling and sharing of information resources was advocated to meet the varied needs of the users in the main campuses and off campuses of the universities, affiliated colleges and remote stations. A uniform staff policy similar to that prevailing in CSIR, DRDO, ISRO, etc. has been proposed by the study not only in the university libraries in kerala but for the entire country.Restructuring of Lis education,integrated and Planned development of school,college,research and public library systems,etc.were also justified for reaping maximum benefits of the modern ICTs.

Design and Development of data mining models for the predictions of manpower placement in the technical Domain

Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.

A Novel Decision Tree Algorithm for Numeric Datasets - C 4.5*Stat

Decision trees are very powerful tools for classification in data mining tasks that involves different types of attributes. When coming to handling numeric data sets, usually they are converted first to categorical types and then classified using information gain concepts. Information gain is a very popular and useful concept which tells you, whether any benefit occurs after splitting with a given attribute as far as information content is concerned. But this process is computationally intensive for large data sets. Also popular decision tree algorithms like ID3 cannot handle numeric data sets. This paper proposes statistical variance as an alternative to information gain as well as statistical mean to split attributes in completely numerical data sets. The new algorithm has been proved to be competent with respect to its information gain counterpart C4.5 and competent with many existing decision tree algorithms against the standard UCI benchmarking datasets using the ANOVA test in statistics. The specific advantages of this proposed new algorithm are that it avoids the computational overhead of information gain computation for large data sets with many attributes, as well as it avoids the conversion to categorical data from huge numeric data sets which also is a time consuming task. So as a summary, huge numeric datasets can be directly submitted to this algorithm without any attribute mappings or information gain computations. It also blends the two closely related fields statistics and data mining

Prediction of Learning Disabilities in School Age Children using SVM and Decision Tree

This paper highlights the prediction of Learning Disabilities (LD) in school-age children using two classification methods, Support Vector Machine (SVM) and Decision Tree (DT), with an emphasis on applications of data mining. About 10% of children enrolled in school have a learning disability. Learning disability prediction in school age children is a very complicated task because it tends to be identified in elementary school where there is no one sign to be identified. By using any of the two classification methods, SVM and DT, we can easily and accurately predict LD in any child. Also, we can determine the merits and demerits of these two classifiers and the best one can be selected for the use in the relevant field. In this study, Sequential Minimal Optimization (SMO) algorithm is used in performing SVM and J48 algorithm is used in constructing decision trees.

Evolving Classifiers - Evolutionary Algorithms in Data Mining

Data mining means to summarize information from large amounts of raw data. It is one of the key technologies in many areas of economy, science, administration and the internet. In this report we introduce an approach for utilizing evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, Göb and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.

Abbildung von XML-Dokumenten auf SQL:2003-konforme Datentypen

Die Auszeichnungssprache XML dient zur Annotation von Dokumenten und hat sich als Standard-Datenaustauschformat durchgesetzt. Dabei entsteht der Bedarf, XML-Dokumente nicht nur als reine Textdateien zu speichern und zu transferieren, sondern sie auch persistent in besser strukturierter Form abzulegen. Dies kann unter anderem in speziellen XML- oder relationalen Datenbanken geschehen. Relationale Datenbanken setzen dazu bisher auf zwei grundsätzlich verschiedene Verfahren: Die XML-Dokumente werden entweder unverändert als binäre oder Zeichenkettenobjekte gespeichert oder aber aufgespalten, sodass sie in herkömmlichen relationalen Tabellen normalisiert abgelegt werden können (so genanntes „Flachklopfen“ oder „Schreddern“ der hierarchischen Struktur). Diese Dissertation verfolgt einen neuen Ansatz, der einen Mittelweg zwischen den bisherigen Lösungen darstellt und die Möglichkeiten des weiterentwickelten SQL-Standards aufgreift. SQL:2003 definiert komplexe Struktur- und Kollektionstypen (Tupel, Felder, Listen, Mengen, Multimengen), die es erlauben, XML-Dokumente derart auf relationale Strukturen abzubilden, dass der hierarchische Aufbau erhalten bleibt. Dies bietet zwei Vorteile: Einerseits stehen bewährte Technologien, die aus dem Bereich der relationalen Datenbanken stammen, uneingeschränkt zur Verfügung. Andererseits lässt sich mit Hilfe der SQL:2003-Typen die inhärente Baumstruktur der XML-Dokumente bewahren, sodass es nicht erforderlich ist, diese im Bedarfsfall durch aufwendige Joins aus den meist normalisierten und auf mehrere Tabellen verteilten Tupeln zusammenzusetzen. In dieser Arbeit werden zunächst grundsätzliche Fragen zu passenden, effizienten Abbildungsformen von XML-Dokumenten auf SQL:2003-konforme Datentypen geklärt. Darauf aufbauend wird ein geeignetes, umkehrbares Umsetzungsverfahren entwickelt, das im Rahmen einer prototypischen Applikation implementiert und analysiert wird. Beim Entwurf des Abbildungsverfahrens wird besonderer Wert auf die Einsatzmöglichkeit in Verbindung mit einem existierenden, ausgereiften relationalen Datenbankmanagementsystem (DBMS) gelegt. Da die Unterstützung von SQL:2003 in den kommerziellen DBMS bisher nur unvollständig ist, muss untersucht werden, inwieweit sich die einzelnen Systeme für das zu implementierende Abbildungsverfahren eignen. Dabei stellt sich heraus, dass unter den betrachteten Produkten das DBMS IBM Informix die beste Unterstützung für komplexe Struktur- und Kollektionstypen bietet. Um die Leistungsfähigkeit des Verfahrens besser beurteilen zu können, nimmt die Arbeit Untersuchungen des nötigen Zeitbedarfs und des erforderlichen Arbeits- und Datenbankspeichers der Implementierung vor und bewertet die Ergebnisse.

Alley cropping of willows and grassland for bioenergy provision: productivity, tree-crop interactions and energy balance

The demand for biomass for bioenergy has increased rapidly in industrialized countries in the recent years. Biogenic energy carriers are known to reduce CO2 emissions. However, the resource-inefficient production of biomass often caused negative impacts on the environment, e.g. biodiversity losses, nitrate leaching, and erosion. The detrimental effects evolved mainly from annual crops. Therefore, the aim of modern bioenergy cropping systems is to combine yield stability and environmental benefits by the establishment of mixed-cropping systems. A particular emphasis is on perennial crops which are perceived as environmentally superior to annual crops. Agroforestry systems represent such mixed perennial cropping systems and consist of a mix of trees and arable crops or grassland within the same area of land. Agroforestry practices vary across the globe and alley cropping is a type of agroforestry system which is well adapted to the temperate zone, with a high degree of mechanization. Trees are planted in rows and crops are planted in the alleyways, which facilitates their management by machinery. This study was conducted to examine a young alley cropping system of willows and two grassland mixtures for bioenergy provision under temperate climate conditions. The first part of the thesis identified possible competition effects between willows and the two grassland mixtures. Since light seemed to be the factor most affecting the yield performance of the understory in temperate agroforestry systems, a biennial in situ artificial shade experiment was established over a separate clover-grass stand to quantify the effects of shade. Data to possible below- and aboveground interactions among willows and the two grassland mixtures and their effects on productivity, sward composition, and quality were monitored along a tree-grassland interface within the alleys. In the second part, productivity of the alley cropping system was examined on a triennial time frame and compared to separate grassland and willow stands as controls. Three different conversion technologies (combustion of hay, integrated generation of solid fuel and biogas from biomass, whole crop digestion) were applied to grassland biomass as feedstock and analyzed for its energetic potential. The energetic potential of willow wood chips was calculated by applying combustion as conversion technique. Net energy balances of separate grassland stands, agroforestry and pure willow stands evaluated their energy efficiency. Results of the biennial artificial shade experiment showed that severe shade (80 % light reduction) halved grassland productivity on average compared to a non-shaded control. White clover as heliophilous plant responded sensitively to limited radiation and its dry matter contribution in the sward decreased with increasing shade, whereas non-leguminous forbs (mainly segetal species) benefited. Changes in nutritive quality could not be confirmed by this experiment. Through the study on interactions within the alleys of the young agroforestry system it was possible to outline changes of incident light, soil temperature and sward composition of clover-grass along the tree-grassland interface. Nearly no effects of trees on precipitation, soil moisture and understory productivity occurred along the interface during the biennial experiment. Considering the results of the productivity and the net energy yield alley cropping system had lower than pure grassland stands, irrespective of the grassland seed mixture or fertilization, but was higher than that for pure willow stands. The comparison of three different energetic conversion techniques for the grassland biomass showed highest net energy yields for hay combustion, whereas the integrated generation of solid fuel and biogas from biomass (IFBB) and whole crop digestion performed similarly. However, due to the low fuel quality of hay, its direct combustion cannot be recommended as a viable conversion technique, whereas IFBB fuels were of a similar quality to wood chip from willow.

Studies in stoichiometry with compositional data

Geochemical data that is derived from the whole or partial analysis of various geologic materials represent a composition of mineralogies or solute species. Minerals are composed of structured relationships between cations and anions which, through atomic and molecular forces, keep the elements bound in specific configurations. The chemical compositions of minerals have specific relationships that are governed by these molecular controls. In the case of olivine, there is a well-defined relationship between Mn-Fe-Mg with Si. Balances between the principal elements defining olivine composition and other significant constituents in the composition (Al, Ti) have been defined, resulting in a near-linear relationship between the logarithmic relative proportion of Si versus (MgMnFe) and Mg versus (MnFe), which is typically described but poorly illustrated in the simplex. The present contribution corresponds to ongoing research, which attempts to relate stoichiometry and geochemical data using compositional geometry. We describe here the approach by which stoichiometric relationships based on mineralogical constraints can be accounted for in the space of simplicial coordinates using olivines as an example. Further examples for other mineral types (plagioclases and more complex minerals such as clays) are needed. Issues that remain to be dealt with include the reduction of a bulk chemical composition of a rock comprised of several minerals from which appropriate balances can be used to describe the composition in a realistic mineralogical framework. The overall objective of our research is to answer the question: In the cases where the mineralogy is unknown, are there suitable proxies that can be substituted? Kew words: Aitchison geometry, balances, mineral composition, oxides

Sistema d'anàlisi financer: tresoreria amb eines Business Intelligence

El projecte tracte d' implementar una solució de Business Intelligence sota la plataforma Microsoft.Aquest projecte va destinat al Departament de Comptabilitat de l' Ajuntament de Cambrils, i està relacionat amb la funció del control de les despeses i els ingressos

SLAM using an Imaging Sonar for Partially Structured Underwater Environments

In this paper we describe a system for underwater navigation with AUVs in partially structured environments, such as dams, ports or marine platforms. An imaging sonar is used to obtain information about the location of planar structures present in such environments. This information is incorporated into a feature-based SLAM algorithm in a two step process: (I) the full 360deg sonar scan is undistorted (to compensate for vehicle motion), thresholded and segmented to determine which measurements correspond to planar environment features and which should be ignored; and (2) SLAM proceeds once the data association is obtained: both the vehicle motion and the measurements whose correct association has been previously determined are incorporated in the SLAM algorithm. This two step delayed SLAM process allows to robustly determine the feature and vehicle locations in the presence of large amounts of spurious or unrelated measurements that might correspond to boats, rocks, etc. Preliminary experiments show the viability of the proposed approach

Open Government Data

Linked Open data – a platform for modern science, engineering, education and business. In the more recent talk, Sir Nigel Shadbolt speaks about "The Value of Openess - The Open Data Institute and Publically Funded Open Data" during the Natural History Museum of London Informatics Horizons event.

User-Centred Methods for Measuring the Value of Open Data

A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. For this project we assumed the purpose of open data metrics is to determine the value of a group of open datasets to a defined community of users. We adopted a much more user-centred approach than most open data research using small structured workshops to identify users’ key problems and then working from those problems to understand how open data can help address them and the key attributes of the data if it is to be successful. We then piloted different metrics that might be used to measure the presence of those attributes. The result was six metrics that we assessed for validity, reliability, discrimination, transferability and comparability. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.