This thesis investigates the emergence and establishment of an early public monitoring system of the Swedish economy prior to the First World War. The study relies on a careful examination of the source materials with the view to map why and how the monitoring of the Swedish economy emerged, who demanded it, how the public supervision of the economy was organised and administrated and the results of the efforts. The common driving force was an increasing political interest in Sweden and elsewhere over the labour issue towards the end of the nineteenth century. In fact, the establishment of the monitoring system of the Swedish economy was largely the result of a broader international statistical respons to the labour question by the end of that century. The emergence of a public monitoring of the economy was driven by a general need for measuring the effect of industrialisation on the labour market, especially the growing problems with episodes of involuntary unemployment in the industrialised countries towards the end of the century. The thesis is divided in two parts with a total of ten chapters. It is written within a traditional narrative structure, that is, the beginning, the middle and the end. The first part examines the emergence of the surveillance of the labour market and consists of three chapters according to the narrative structure covering the period 1893-1913. The second part consists of three chapters that investigate the establishment of a monthly economic survey of the Swedish economy between 1910 and 1914, structured in the same way as the part one. The establishment of this early public monitoring of the Swedish economy should be regarded as a forerunner of the National Institute of Economic Research (Konjunkturinstitutet) 1937.

現今解釋錯誤偵測系統及前扣帶皮質（ACC）的關係之理論主要為增強學習理論。增強學習理論認為個體會在行為後對於行為結果產生預期，並將該預期與實際結果進行比較，若實際結果較預期結果差則會活化ACC進而觀察到較大的FN（Feedback Negativity）振幅。近年來有學者提出奠基於增強學習理論的錯誤可能性理論，錯誤可能性理論則認為當個體在學習到行為與結果之間的關聯後，當接收到可能犯錯的訊息時便會活化ACC而引起較大的FN。本研究主要的目的為探討增強學習理論及錯誤可能性理論的適用性，其次為探討風險之因素是否能反映於FN上。由於兩理論對於風險情境中是否會觀察到FN有不同的預測，錯誤可能性理論預測會在高風險的情況下觀察到較大的FN；而增強學習理論則預測由於風險畫面並非回饋畫面，故風險不會影響FN。實驗一藉由探討風險與FN間之關係企圖提供兩理論初步之區分並提供風險研究的實驗證據，實驗一結果顯示FN確實會反映風險之因素。也點出增強學習理論用以解釋錯誤偵測系統之不完備之處。而實驗二則利用操弄回饋結果好壞及高低錯誤可能性以檢驗錯誤可能性對於錯誤偵測系統之必要性，實驗二結果顯示錯誤可能性為事件評估之因素之一。除此之外，實驗二亦提供FN反映懊悔之支持性證據。

Chaque jour des milliers de camions transportant des centaines de milliers de tonnes de marchandises dangereuses par diverses modalités. Toutefois, le terme “dangereux” indique une adversité intrinsèque qui caractérise ces produits transportés, et qui peuvent se manifester lors d'un accident entraînant la fuite d'une substance dangereuse. Dans une telle situation, les conséquences peuvent nuire à l'environnement et létal pour l'humain.L'importance des marchandises dangereuses revient aux bénéfices économiques considérables générés. En fait, on ne peut nier la contribution du transport des produits dérivés de combustibles fossiles, ce qui représente plus de 60% des marchandises dangereuses transportées en Europe. Eni, la société italienne leader de pétrochimie, gère chaque jour une flotte d'environ 1.500 camions, qui effectuent de nombreuses expéditions. Pourtant la distribution de produits pétroliers est une activité à grande risques, et tout accident lors du transport peut entraîner de graves conséquences.Consciente des enjeux, la division Eni R&M - Logistique Secondaire, historiquement actif au siège de Gênes, collabore depuis 2002 avec le DIBRIS à l'Université de Gênes, et le CRC à Mines ParisTech, dans le but d'étudier les améliorations possibles en matière de sûreté dans le transport de marchandises dangereuses. Au fil des ans, cette collaboration a permis le développement d'un système d'information et décisionnel. Le composant principal de ce système est une plate-forme de surveillance de la flotte Eni appelé TIP (Transport Integrated Platform), pour livrer les produits vers les points de distributions. Ces véhicules sont équipés d'un dispositif capable de transmettre des flux de données en temps réel en utilisant un modem GPRS. Les données transmises peuvent être de nature différente et contenir des informations sur l'état du véhicule, le produit et les événements détectés durant l'expédition. Ces données sont destinées à être reçues par des serveurs centralisés puis traitées et stockées, afin de soutenir diverses applications du TIP.Dans ce contexte, les études menées tout au long de la thèse sont dirigés vers le développement d'une proposition visant à réduire davantage les risques liés au transport de marchandises dangereuses. En d'autres termes, un modèle basé sur le compromis entre les facteurs économiques et sûretés pour le choix de l'itinéraire. L'objectif est motivé par la nécessité de soutenir les règlements et les normes de sécurité existantes, car ils ne garantissent pas totalement contre les accidents entrainant des marchandises dangereuses.L'objectif est effectué en prenant en compte le système existant comme base pour l'élaboration d'un système de transport intelligent (STI) regroupant plusieurs plates-formes logicielles. Ces plates-formes doivent permettre aux planificateurs et aux décideurs de suivre en temps réel leur flotte, à évaluer les risques et tous les itinéraires possibles, de simuler et de créer différents scénarios, et d'aider à trouver des solutions à des problèmes particuliers.Tout au long de cette thèse, je souligne la motivation pour ce travail de recherche, les problématiques, et les défis de transport de marchandises dangereuses. Je présente le TIP comme le noyau de l'architecture proposée du STI. Pour les besoins de la simulation, les véhicules virtuels sont injectés dans le système. La gestion de la collecte des données a été l'objet d'une amélioration technique pour plus de fiabilité, d'efficacité et d'évolutivité dans le cadre de la surveillance en temps réel. Enfin, je présente une explication systématique de la méthode d'optimisation des itinéraires considérant les critères économiques et de risques. Le risque est évalué en fonction de divers facteurs notamment la fréquence d'accidents entrainant des marchandises dangereuses, et ses conséquences. La quantification de l'incertitude dans l'évaluation des risques est modélisée en utilisant la théorie des ensembles flous. / Everyday thousands of trucks transporting hundreds of thousands of tons of dangerous goods by various modalities and both within and across nations. However, the term “dangerous” indicates an intrinsic adversity that characterize these products, which can manifest in an accident leading to release of a hazardous substance (e.g. radioactive, flammable, explosive etc.). In this situation, the consequences can be lethal to human beings, other living organisms and damage the environment and public/private properties.The importance of dangerous goods boils down to the significant economic benefits that generates. In fact, one cannot deny the contribution of the transport of all fossil fuel derived product, which represents more than 60% of dangerous goods transported in Europe. Eni, the Italian leading petrochemical company, every day operates a fleet of about 1,500 trucks, which performs numerous trips from loading terminals to filling stations. Distribution of petroleum products is a risky activity, and an accident during the transportation may lead to serious consequences.Aware of what is at stake, the division Eni R&M - Logistics Secondary, historically active in Genoa headquarters, is collaborating since 2002 with the DIBRIS department at University of Genoa, and the CRC at Mines ParisTech, with the purpose of studying possible improvements regarding safety in transport of dangerous goods, particularly petroleum products. Over years, this collaboration has led to the development of different technologies and mainly to an information and decision support system. The major component of this system is a platform for monitoring Eni fleet, at the national level, to deliver the products to the distribution points, called the Transport Integrated Platform (TIP). These vehicles are equipped with a device capable of transmitting data stream in real-time using a GPRS modem. The data transmitted can be of different nature and contain information about the state of the vehicle and occurred events during the trip. These data are intended to be received by centralized servers then get processed and stored, in order to support various applications within the TIP.With this in mind, the studies undertaken throughout the thesis are directed towards the development of a proposal to further minimize the risk related to the transportation of dangerous goods. In other words, a trade-off based model for route selection taking into consideration economic and safety factors. The objective is prompted by the need to support existent regulations and safety standards, which does not assure a full warranty against accidents involving dangerous goods.The goal is carried out by considering the existent system as basis for developing an Intelligent Transportation System (ITS) aggregating multiple software platforms. These platforms should allow planners and decision makers to monitor in real-time their fleet, to assess risk and evaluate all possible routes, to simulate and create different scenarios, and to assist at finding solutions to particular problems.Throughout this dissertation, I highlight the motivation for such research work, the related problem statements, and the challenges in dangerous goods transport. I introduce the TIP as the core for the proposed ITS architecture. For simulation purposes, virtual vehicles are injected into the system. The management of the data collection was the subject of technical improvement for more reliability, efficiency and scalability in real-time monitoring of dangerous goods shipment. Finally, I present a systematic explanation of the methodology for route optimization considering both economic and risk criteria. The risk is assessed based on various factors mainly the frequency of accident leading to hazardous substance release and its consequences. Uncertainty quantification in risk assessment is modelled using fuzzy sets theory.

The present dissertation is the design of a company's business plan, with a view to the new monitoring system, with all the important factors such as economic and technical factors, and legislative changes in the branch are taken into consideration. Furthermore there is the view to the economic standing of the company is also evalua-ted. The business plan is simultaneously considered from a general view of potential implementation of the proposed solution.

Das High Energy Stereoscopic System (H.E.S.S.) ist ein System von fünf atmosphärischen Cherenkov-Teleskopen (IACT) in Namibia. Die H.E.S.S. Teleskope sind empfindlich für sehr energiereiche (VHE) Gammastrahlen zwischen ~30 TeV und 100 TeV. Mit einer Entfernung von 16,5 Mpc ist Messier 87 (M87) eine der nächsten Radiogalaxien und beherbergt eines der massereichsten supermassiven Schwarzen Löcher, das Materie in einen Plasmastrahl relativistischer Teilchen emittiert. Der Strahl wird im Bereich des gesamten elektromagnetischen Spektrums beobachtet und untersucht. M87 befindet sich im Zentrum des Virgo-Galaxienhaufens, eines kühlen Galaxienhaufens, der von Gas gefüllt ist, das in der Nähe des Zentrums kälter und in den Außenbereichen des Galaxienhaufens heißer ist. Gemäß der Cooling Flow (CF) Theorie kühlt das Plasma in Cool Core (CC) Haufen am Rand des Haufens ab und sinkt nach innen, wodurch die Sternentstehungsrate im Zentrum erhöht wird. Optische Messungen des Virgo Galaxienhaufens scheinen diesem Modell jedoch zu widersprechen. Als Heizmechanismus wird der aktive galaktische Kern Rückkopplungsmechanismus vorgeschlagen, der die Abkühlung des ICM ausgleicht und dessen CF vermeidet. Die kosmische Strahlung des Jets interagiert mit der ICM und erzeugt neutrale Pionen, die in Gammastrahlen zerfallen und ein nicht variables und ausgedehntes Gammastrahlensignal erzeugen. Allerdings konnten keine Gammastrahlen-Beobachtungen mit dem Pionenzerfall in dem Galaxienhaufen in Verbindung gebracht werden. In dieser Studie der H.E.S.S. Beobachtungen des niedrigen Strahl-Aktivitätszustands von M87 haben keine signifikante Ausdehnung der Emissionsregion gezeigt, woraus eine 3σ Obergrenze von 0.016° ≈ 4.6 kpc abgeleitet wurde. Das Verhältnis des Drucks in kosmischer Strahlung zur thermischen Strahlung ist auf <0.36 im Zentralregion beschränkt. Diese abgeleitete Obergrenze nimmt einen Gleichgewichtszustand zwischen den Erwärmungs und den Kühlprozessen an. Die neue Generation von IACTs, das Cherenkov Telescope Array Observatory (CTAO), wird eine unvergleichbare Empfindlichkeit und Winkelauflösung bieten. Um die langfristige Verfügbarkeit der Teleskope sicherzustellen, wurde ein auf Schwingungsmessungen basierendes Strukturüberwachungssystem entwickelt und zwischen 2019 und 2020 in Berlin am Prototyp des mittelgrossen Teleskopes erfolgreich getestet. CTAO wird in der Lage sein die Gammastrahlung des Virgo Haufens zu untersuchen und sie laut Simulationen und dem Steady-State-Modell innerhalb von ~210 h zu detektieren. / The High Energy Stereoscopic System (H.E.S.S.) is an array of five Imaging Atmospheric Cherenkov Telescopes (IACTs) located in Namibia. The H.E.S.S. telescopes are sensitive to Very-High-Energy (VHE) gamma rays between ~30 TeV and ~100 TeV. At a distance of 16.5 Mpc Messier 87 (M87) is one of the closest radio-galaxies, hosting one of the most massive Super-Massive Black Hole, which accretes matter and launches an inclined jet of relativistic particles. The jet is detected and studied by radiation emitted through the entire electromagnetic spectrum. M87 is located at the very center of the Virgo galaxy cluster, a Cool Core (CC) cluster, characterized by an Intra-cluster Medium (ICM) that is colder close to the center and hotter towards the outskirts of the galaxy cluster. According to the Cooling Flow (CF) theory, the plasma in CC clusters cools in the outskirts of the cluster and falls inwards, increasing the star formation ratio in the region. However, optical measurements of the Virgo Cluster seem to contradict this model. The Active Galactic Nucleus (AGN) feedback mechanism is proposed as a heating mechanism, which counterbalances the cooling of the ICM and avoids its CF. The cosmic rays from the jet interact with the ICM producing neutral pions, which decay to gamma rays, forming a non-variable and extended gamma-ray signal. However, no gamma-ray observations could be associated with pion decay in galaxy clusters. In this work, deep H.E.S.S. observations of M87's low state are analyzed, and the results have shown no significant gamma-ray extension leading to a 3σ upper limit of 0.016° ≈ 4.6 kpc. The ratio of cosmic-ray pressure to thermal pressure XCR is constrained to < 0.36 at its maximum position, assuming a steady-state between the heating and the cooling processes. The new generation of IACTs, the Cherenkov Telescope Array Observatory (CTAO) will offer unprecedented sensitivity and angular resolution. To assure the long-term availability of the telescopes, a structure monitoring system based on vibration measurements was developed and successfully tested at the Medium-sized Telescope (MST) prototype between 2019 and 2020 in Berlin. CTAO should be able to probe the gamma-ray emission from the Virgo Cluster, and, according to simulations and to the steady-state model, significantly detect it after ≈ 210 h.

The goal of this diploma thesis is to design the user interface and implement the information system as a web application. Using the custom implemented library the system communicates with GraphQL server which manages the client data. The thesis describes possible solutions for physical servers automatization. The application provides the application interface to manage virtual servers. Automatization is possible without human interaction. Connection to the virtualization technologies is handled by web interface APIs or custom scripts running in the virtual system terminal. There is a monitoring system built over project components. The thesis also describes the continuous integration using Gitlab tools. Running the configuration task is solved using the Unix CRON system.

This diploma thesis is focused on development and initial run of a measurement system whose aim is to measure photovoltaic panel efficiency. Experimental photovoltaic panel is installed outside the laboratory. Measurement system consists of the solar radiation measurement module (pyranometer), photovoltaic panel load module (panel power measurement) and panel climate measurement module. Data from measurement module is being captured via control computer for subsequent analysis of panel efficiency and climatic impacts on it.

Plus de soixante ans après son adoption, la Convention de Genève compte 145 États parties.Instrument juridique universel sur le statut des réfugiés, elle est la lex specialis du droit international desréfugiés. Qui est réfugié ? Quelle protection lui est accordée ? Ces deux questions se posent avec uneacuité certaine du fait de l’accroissement des flux migratoires, des crises multiples et de la lutte contre leterrorisme. Le contexte actuel de l’application de la Convention est différent de celui de son adoption.Rédigée par la voie de dispositions générales, elle doit être interprétée pour être appliquée. Cependant, iln’existe pas un interprète. Si les États, le Haut Commissariat des Nations Unies pour les réfugiés et laCour internationale de justice sont les interprètes officiels, ils ne sont pas les seuls. L’Office français deprotection des réfugiés et apatrides et la Cour nationale du droit d’asile jouent un rôle important et la Coureuropéenne des droits de l’homme et la Cour de justice de l’Union européenne jouent un rôle grandissant.Cette multiplicité d’interprètes peut causer une diversité d’interprétations. Or, les interprétationsdivergentes nuisent à la lisibilité et la visibilité de la Convention en tant qu’instrument de définition et deprotection des réfugiés. La présente étude est une analyse de la contribution des interprètes aux évolutionsde la Convention. Dans cette perspective, la prolifération des instruments du droit européen etinternational des droits de l’homme et la complexification des déplacements contraints de personnes sontdes paramètres incontournables, pris en compte par les interprètes, pour éclairer le sens et la portée de laConvention. / More than sixty years after its adoption, the Geneva Convention counts 145 States ascontracting Parties. This universal legal instrument on refugee’s status represents the lex specialis ofinternational refugee Law. Who can be a refugee? What can be his level of protection? These questionsare particularly relevant under the influence of the increasing population flows, the multiples crises andthe fight against terrorism. The current context of the Convention’s application is different than the one ofits adoption. And due to its general provisions, this Convention needs to be interpreted in order to beapplied. However, there is no sole interpreter. The States, the United Nations High Commissioner forRefugees and the International Court of Justice are indeed the official interpreters, but not the only onesensuring this mission. Not only the French Office for the Protection of Refugees and Stateless Persons andthe National Court of Asylum play an important role in this matter, but the European Court of HumanRights and the Court of Justice of the European Union also play an expanding role. This multiplicity ofinterpreters can induce a variety of interpretations. Nevertheless, a divergent interpretation can affect thereadability and the visibility of the Convention as a refugee defining and protective legal instrument. Thepresent study constitutes an analysis of the interpreters’ contribution to the Convention’s developments. Inthis perspective, the overgrowth of European and International Human Rights Law instrument and thecomplexity of forced migration are ineluctable feature, taken into account by the interpreters, to clarify themeaning and the scope of the Convention.

<p><strong>The Energy Monitoring Framework</strong>, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology.</p> <p>The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely.</p> <p>The main objectives of the project include the following:</p> <ul> <li>Set up a wireless network using sensors and smart implants with a base station/ controller.</li> <li>Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency.</li> <li>Set up a generalized interface to collect and process the sensor data values and store the data in a database.</li> <li>Design and develop a generic database compatible with various companies irrespective of the type and size.</li> <li> Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment.</li> </ul> <p>The General Structure of the project constitutes the following components:</p> <ul> <li>A wireless sensor network with a base station.</li> <li>An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators.</li> <li>A cloud that hosts a database and an API to collect and store information.</li> <li>A web application hosted in the cloud to provide an interactive platform for users to analyze the data.</li> </ul> <p>The project was demonstrated in:</p> <ul> <li>Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/).</li> <li>Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/).</li> <li>A company in Indiana.</li> </ul> <p>The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.</p> <p><br></p>