This diploma thesis deals with the risk management issue of a projection of regional aqua-park Jeseník, with the aim to identify risks connected with realization of this project. This particular process of risk management adjustment is isolated proceeding with its characteristics, and expertise, with replenishing purpose of project management awareness for possible risks, and their impacts on the project and its surroundings. Using a system approach and risk management weaknesses, which are the most threatening for the project as well as financial formulation of particular risks, are identified. Attending matters of risks, strategies, which will be used for the utmost elimination of doubts from the realization, emerged. Proposals and disposals refer to advantages, and urgency of applying risk management processes along with system thinking for management, which corresponds with the particular project.

This thesis is within the field of Competitive Intelligence. The thesis’s main purpose is to investigate how Swedish startups perceive Competitive Intelligence and how their perception influences how they are dealing with international competition in the domestic market. Even though Competitive Intelligence is not a new field, the existing literature over this topic is not very rich, especially regarding startups. In our work, through qualitative research based on eleven semi-structured interviews, with CEOs and founders of startups in Sweden, and a CEO of an Intelligence firm in Sweden, we argue that there are three approaches to Competitive Intelligence from Swedish startups. The competition-centric, the customer-centric and the market-centric approach. Furthermore, we propose that dealing with competition requires startups to establish an intelligence culture that involves everyone, as it enhances their alertness, contributes to the building of a competitive advantage, increases their sales efficiency and lastly using their “insidership” as it is proposed in the revised Uppsala Model, to gather information and deal with the competitors. Finally, from our findings we propose two new classifications in addition to Murphy’s five classifications of firms based on their engagement in Competitive Intelligence activities, “the Hesitant” and “The Arrogant”.

In this article, we study the construction of piecewise linear prewavelets over type-2 triangulations. Different from a so-called semi-prewavelet approach, we investigate the orthogonal conditions directly and obtain parameterized prewavelets with a smaller support. The conditions for parameterized prewavelet basis on the parameters are also given.

京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第21429号 / 農博第2307号 / 学位論文||H30||N5157(農学部図書室) / 京都大学大学院農学研究科地域環境科学専攻 / (主査)教授 近藤 直, 准教授 小川 雄一, 教授 飯田 訓久 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DGAM

Unmanned Aerial Systems (UASs) offer a new era of local-scale environmental monitoring where access to invaluable aerial data no longer comes at a substantial cost. This provides the opportunity to vastly expand the ability to detect natural hazards impacts, observe environmental conditions, quantify restoration efforts, track species propagation, monitor land surface changes, cross-validate existing platforms, and identify hazardous situations. While UASs have the potential to accelerate understanding of natural processes, much of the research using UASs has applied current remote sensing image processing techniques without questioning the validity of these in UAS applications. With new scientific tools comes a need to affirm that previous techniques are still valid for the new systems. To this end, the objective of the current study is to provide an assessment regarding the use of current remote sensing image processing techniques in UAS applications. The research reported herein finds that atmospheric effects have a statistically significant impact on low altitude UAS imagery. Correcting for these external factors affecting the imagery was successful using an empirical line calibration (ELC) image correction technique and required little modification for use in a complex UAS application. Finally, it was found that classification performance of UAS imagery was reliant on training sample size more than classification technique, and that training sample size requirements are larger than previous remote sensing studies suggest.

In many real-world applications, it is common to have uneven number of examples among multiple classes. The data imbalance, however, usually complicates the learning process, especially for the minority classes, and results in deteriorated performance. Boosting methods were proposed to handle the imbalance problem. These methods need elongated training time and require diversity among the classifiers of the ensemble to achieve improved performance. Additionally, extending the boosting method to handle multi-class data sets is not straightforward. Examples of applications that suffer from imbalanced multi-class data can be found in face recognition, where tens of classes exist, and in capsule endoscopy, which suffers massive imbalance between the classes. This dissertation introduces RegBoost, a new boosting framework to address the imbalanced, multi-class problems. This method applies a weighted stratified sampling technique and incorporates a regularization term that accommodates multi-class data sets and automatically determines the error bound of each base classifier. The regularization parameter penalizes the classifier when it misclassifies instances that were correctly classified in the previous iteration. The parameter additionally reduces the bias towards majority classes. Experiments are conducted using 12 diverse data sets with moderate to high imbalance ratios. The results demonstrate superior performance of the proposed method compared to several state-of-the-art algorithms for imbalanced, multi-class classification problems. More importantly, the sensitivity improvement of the minority classes using RegBoost is accompanied with the improvement of the overall accuracy for all classes. With unpredictability regularization, a diverse group of classifiers are created and the maximum accuracy improvement reaches above 24%. Using stratified undersampling, RegBoost exhibits the best efficiency. The reduction in computational cost is significant reaching above 50%. As the volume of training data increase, the gain of efficiency with the proposed method becomes more significant.

Yes / Goal-setting is fundamental to organisational management, yet not every manager knows how do it well. A narrative literature review was done to explore current knowledge of definitions and classifications of goals, and principles of goal-setting in the health sector. Online databases generated 65 relevant articles. Additional literature sources were snowballed from referenced articles, and textbooks. Most academic authors define ‘goal’ synonymously as ‘aim’ or ‘objective’, but with evidence of hermeneutical confusion in general literature. Goal classifications are diverse, differing according to their contextual, structural, functional and temporal characteristics. Many authors agree that goal-setting is problem-based, change-oriented and can effectively motivate attainment, if the goal statement is formulated with a specific and challenging or SMART framework. However, recent authors report varying defining attributes for SMART, and evidence of past studies that have empirically examined the nature and efficacy of frameworks currently used for formulating goal statements for health programmes is lacking.

Le réseau des transports urbains lyonnais est exploité par la Compagnie des omnibus et tramways de Lyon (OTL), société anonyme fondée en 1879. Comme toutes les entreprises de service public, l’OTL octroie à certains de ses salariés, les « titulaires », des garanties d’emploi et des avantages sociaux en avance sur la législation. Grâce à des normes dans l’organisation du travail, la plupart des titulaires ont un emploi du temps et des affectations préétablis. Toutes ces dispositions sont définies dans des contrats collectifs de travail résultant de négociations avec le puissant syndicat cégétiste, au cours desquelles interviennent fréquemment les collectivités locales, ville de Lyon et département du Rhône.Mais l’OTL doit adapter ses effectifs aux variations de la charge de travail et cherche à réduire les dépenses de personnel. Elle définit dès le début du XXe siècle des formes de flexibilité qui s’articulent autour des rythmes, des temps et des postes de travail. Jusqu'en 1949, tous les salariés sont embauchés avec des contrats où se combinent durées déterminées ou indéterminées de l’emploi avec le travail à temps partiel ou à temps plein, avant d'obtenir éventuellement une place plus stable : les « auxiliaires » travaillent uniquement le dimanche, ou bien les jours de semaine mais uniquement selon les besoins du service et peuvent être licenciés sans indemnité. La flexibilité affecte aussi les titulaires, essentiellement au début de leur carrière.Des tendances fortes se dégagent. Premièrement, la conceptualisation et la sophistication des formes de flexibilité sont concomitantes de la construction du statut des titulaires. Deuxièmement, les normes temporelles du travail sont de plus en plus complexes. Troisièmement, la main-d’œuvre se partage entre des titulaires qui restent trente ans dans l’entreprise et de très nombreux auxiliaires ou titulaires présents quelques semaines seulement, démissionnaires à cause des salaires médiocres et des conditions de travail mauvaises. / The public transportation system of Lyons – France’s second most populous city, is operated by the Compagnie des omnibus et tramways de Lyon (OTL). This private corporation was founded in 1879. In common with all French public service companies, OTL pre-empted employment legislation by providing employment guarantees and social benefits for certain grades employees, the “incumbents”. Thanks to working rules, most of incumbents, employees with set schedule and assignement, were able to forecast forthcoming hours or working places. All these measures were defined in the collective agreements which OTL entered into with the strong union and the local authorities – the city of Lyons and the département du Rhône.But OTL also had to adapt its workforce to the numbers of passengers conveyed and kilometers covered against a background of wild workload fluctuations and sought to reduce costs. So as early as the dawn of the 20th century the OTL company defined flexible working practices built around working paces, times and occupations. Until 1949, all staff was hired with employment contracts that combined open or fixed-term contracts with part-time or full-time work, before they possibly were offered a more stable post: the “casuals” were hired to work only on Sundays or weekdays on an as needs basis and could be fired without compensation. Internal flexibility also affected the “incumbents”, primarily at the start of their careers.Three strong trends emerge from analyzing the history of OTL personnel management. First, the conceptualization and sophistication of flexible practices were concomitant with the advent of guarantees achieved by the incumbents. Second, the temporal working rules became more and more complex. Third, the workforce was divided between incumbents who stayed in the firm thirty years and lots of casuals or incumbents who resigned because of low wages and flexibility, who worked a few weeks.

SYRACO est un SYstème de Reconnaissance Automatisée des COccolithes, développé à son origine par Luc Beaufort et Denis Dollfus à partir de 1995 et plus récemment avec Yves Gally. L'utilité d'un tel système est de permettre aux spécialistes un gain de temps majeur dans l'acquisition et le traitement des données. Dans ce travail, le système a été amélioré techniquement et sa reconnaissance a été étendue aux nannofossiles calcaires du Cénozoïque. Ce système fait le tri entre les nannofossiles et les non-nannofossiles avec une efficacité respectivement estimée à 75% et 90 %. Il s'appuie sur une nouvelle base d'images de référence d'espèces datant de l'Eocène Supérieur aux espèces vivantes, ce qui représente des centaines d'espèces avec une forte variabilité morphologique. Il permet de réaliser une classification en 39 morphogroupes par la combinaison de réseaux de neurones artificiels avec des modèles statistiques. Les résultats sont présentés sous forme de comptages automatisés, de données morphométriques (taille, masse...) et de mosaïques d'images. Il peut ainsi être utilisé pour des analyses biostratigraphiques et paléocéanographiques. / SYRACO is an automated recognition system of coccoliths, originally developed since 1995 by Luc Beaufort and Denis Dollfus, and more recently with the help of Yves Gally. The main purpose of this system is for specialists to save time in the acquisition and treatment of data. By this recent work, the system has been technically improved and its ability of recognition has been extended to calcareous nannofossils of the Cenozoic Era. It sorts nannofossils and non-nannofossils with a reliability respectively estimated to 75% and 90%. It is based on a new reference images database of species from the Upper Eocene up to living species. This represents hundreds of species with a high morphological variability. It leads to the establishment of a classification arranged in 39 morphogroups, combining artificial neural networks to statistical models. The results are presented as automated counting, morphometrical data (size, mass...) and mosaics of images. Those results can be valuable in biostratigraphical and paleoceanographical analyses.

In this paper, we examine the determinants of outward FDI from four major OECD investors, namely, the US, Germany, France, and the Netherlands, to 129 developing countries classified under five regions over the period 1995-2008. Our goal is to distinguish whether the motivation for FDI differs among these investors in developing countries. Rather than relying on specific theories of FDI determinants, we examine them all simultaneously by employing Bayesian model averaging (BMA). This approach permits us to select the most appropriate model (or combination of models) that governs FDI allocation and to distinguish robust FDI determinants. We find that no single theory governs the decision of OECD FDI in developing countries but a combination of theories. In particular, OECD investors search for destinations with whom they have established intensive trade relations and that offer a qualified labor force. Low wages and attractive tax rates are robust investment criteria too, and a considerable share of FDI is still resource-driven. Overall, investors show fairly similar strategies in the five developing regions.