Throughout history, utopian ideals have existed promoting nature as a necessary affect for better aesthetic and psychological being. Yet, as human populations climb so do stresses upon the natural environment - therefore, bringing "the city in harmony with nature" becomes more challenging. Fortunately, hope exists through the use of greenroof technology. Greenroofs are a green space created by continuous layers of drainage, protection, growing medium, and plants either onto or integral to a roofing system. This paper explores extensive greenroofs, characterized by low-maintenance and shallow growing medium. Greenroof benefits (ecological, economical, aesthetic, psychological) are classified as: Market and Human. Further exploration of human-driven benefits result in the definitions of active and passive sensation (the division of sensation): Active sensation is the immediate, present, unimagined engagement of a specific sense. Passive sensation is the imagined perception (sensing) of an object or element. As defined, Active Sensations are real and, therefore, have limits/defects/boundaries; yet, Passive Sensations are imagined, and therefore, limitless. As alluded by William James, "The philosophy which is so important in each of us is not a technical matter; it is our more or less dumb sense of what life honestly and deeply means. It is only partly got from books; it is our individual way of just seeing and feeling the total push and pressure of the cosmos." The remainder of the document explores human-driven greenroof design; emphasizing design as a form of inquiry. / Master of Landscape Architecture

The purpose of this report is to improve the flow of trafficin intersections through the use of a dynamic algorithm.People spend on average more than six weeks commuting towork in Stockholm every year. A large part of the time thatis spent in traffic is due to the time delay in intersections.In this report, sensors that measure speed and distanceto the vehicle are used instead of detectors that only knowif a car is there or not. There are existing solutions that canoptimise the flow for autonomous cars but since the trafficmay consist of a mix of autonomous and human drivenvehicles during the upcoming 40 years those solutions arenot usable for some time.In this work, a system that can handle both autonomousand human driven vehicles is created. The limitation of thesystem is that it can only receive two cars coming from differentdirections simultaneously. The system does not workfor car queues. The system measures the speed of- and thedistance to the vehicles continuously.According to the simulations that were made the algorithmthat has been designed through this project is moretime efficient than the system that is in place today, assumingthat the assumptions that were made for the currentsystem are correct.The conclusion in this report is that it is possible tomake a system that is more time efficient than the one thatis in use today. / Syftet med den här rapporten är att förbättra flödet ikorsningar genom en dynamisk algoritm. Människor sitterdrygt 6 veckor i bilköer varje år. En stor del av av denspenderande tiden i traffiken är på grund av att fordonbehöver stanna i korsningar.I den här rapporten har sensorer som mäter hastighetoch distans använts istället för dagens detektorer som endastkänner av om ett fordon kör över detektorn eller inte.Det finns andra rapporter med lösningar för att öka flödeti korsningar för självkörande bilar men om man kollar pådet kommande 40 åren kommer det troligtsvis att vara enblandning av självkörande och mänskligt körda bilar.I det här arbetet skapas ett system som kan interageramed både mänskligt körda och autonoma bilar. Begränsningarnai det här systemet är att systemet endast kan taemot två bilar som kommer från olika ingångar i korsningensamtidigt. Systemet fungerar inte för bilköer. Systemet mäterden nuvarande hastigheten och distansen på fordonen.Systemet fungerar för alla olika kombinationer av mänskligtoch självkörande bilar.Resultatet av den här rapporten är att en algoritm harutvecklats och är mer tidseffektivt än systemet som användsi Sverige idag, med våra antaganden om systemet som harutveklats i den här rapporten och systemet som användsidag. Resultatet är baserat på korsningar där bara två bilarmöts utan köer.Slutsatsen av den här rapporten är att det är möjligtatt göra ett system som är mer tidseffektivt än systemetvi använder oss av idag, men vi kan inte säkertsätlla attsystemet i den här rapporten är mer robus och driftsäkertän det som används i Sverige idag.

Conformance to standards and interoperability is a major challenge of today`s applications in all domains. Several standards have been developed and some are still under development to address the various layers in the interoperability stack. Conformance and interoperability testing involves checking whether the applications conform to the standards so that they can interoperate with other conformant systems. Only through testing, correct information exchange among applications can be guaranteed. National Health Information System (NHIS) of Turkey aims to provide a nation-wide infrastructure for sharing Electronic Health Records (EHRs). In order to guarantee the interoperability, the Ministry of Health (MoH), Turkey, developed an Implementation/Integration/Interoperability Profile based on HL7 standards. TestBATN - Testing Business Process, Application, Transport and Network Layers - is a domain and standards independent set of tools which can be used to test all of the layers of the interoperability stack, namely, the Communication Layer, Document Content Layer and the Business Process Layer. In this thesis work, the requirements for conformance and interoperability testing of the NHIS are analyzed, a testing approach is designated, test cases for several NHIS services are developed and deployed and a test execution control and monitoring environment within TestBATN is designed and implemented through the identified testing requirements. The work presented in this thesis is part of the TestBATN system supported by the T&Uuml / BiTAK TEYDEB Project No: 7070191 in addition by the Ministry of Health, Turkey.

This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. The findings suggest that AVs trained using aMARL approach with global experiences can better navigate intersection scenarios than AVs trained on local (individual) experiences. This capability is a critical precursor to achieving Level 5 autonomy, where vehicles are expected to manage all aspects of the driving task under all conditions. The research contributes to the ongoing discourse on enhancing autonomous vehicle technology through multi-agent reinforcement learning and informs the development of sophisticated training methodologies for autonomous driving.