This thesis deals with realization of modular camera system. Introductory part is focused on market research and concept of the system. Next part is dedicated to the choice of components for realization of the system. Practical part deals firstly with design of printed circuit board for supporting control unit which will be controlling peripherals like motion sensor, IR illuminator, eventually magnetic door contact and also focuses on software creation for main and supporting control unit.

The master’s thesis deals with the design of the Smart Home System (SHS), which takes advantage of the 'Raspberry Pi' single-board computer. Background research about the theoretical concept of SHS is carried out, which reveals weaknesses in that field. The aim of the thesis is elimination these weak points and takes into account reliability, extensibility and low acquisition price. The practical part is introduced by design of particular modules, which include both hardware design and software. The project is concluded with integration all components into the single functional universal system together with the extensibility presentation.

This paper presents renewable energy, power electronics, and distributed generators. The focus is on wind farm generator, photovoltaic cell, and battery bank system. Power Conditioning system improves the performance of a power system. Apart from the benefits of converting between DC/AC, there is adequate control of real power and additional control of economic reactive power. This is possible because of multiple sources in the system. This project throws light on the basic principle of power system conditioning, its operation and control, and the economic studies.

Die heterobimetallischen Pi-Pinzetten können erfolgreich als Grundbaustein für die Darstellung von mehrkernigen Übergangsmetallkomplexen, in denen die Metallzentren M(I) (M = Cu, Ag) über unterschiedliche stickstoffhaltige organische sigma-Donor-Liganden verbrückt sind, verwendet werden. In Abhängigkeit von der Natur der korrespondierenden organometallischen Pi-Pinzetten und der organischen Brückeneinheiten konnten verschiedene mehrkernige Übergangsmetallkomplexe synthetisiert werden. Diese Komplexe wurden mittels IR, 1H- und 13C-NMR-Spektroskopie sowie MS charakterisiert. Die Festkörperstrukturen ausgewählter Komplexe konnten durch Einkristall-Röntgenstrukturanalyse erhalten werden. Die Wechselwirkungen der Kupfer(I)- sowie Silber(I)-Ionen, über die koordinativ gebundenen stickstoffhaltigen. Stichworte: Organometallischen À-Pinzetten; Bis(alkinyl)titanocene; Titanium; À- Konjugierte; Mehrkernigen; Kupfer(I), Silber(I).

(AJ) The three aims of the work were as follows: 1. Comparison of prostate magnetic resonance (MR) examination results from 1.5 T and 3 T scanners in patients with prostate carcinoma (PCa). MR findings of 103 patients (ages 44-72 years) were compared with histopathological results after radical prostatectomy. The work was focused on the accuracy of predicting local cancer staging and determining prostate tumour location. Patients were divided into three groups (A, B and C) based on the type of MR scanner and protocol used. Patient groups A and B were examined in 1.5T and 3T MR scanners equipped with surface coils in the identical multiparametric MR imaging protocol included dynamic contrast examination (DCE). Patient group C was examined in a 3T MR scanner without DCE. The highest accuracy of predicting the stage of PCa was seen in patients examined in 3 T MR scanner with DCE included in the protocol, however, no significant differences were seen between results from 1.5 T and 3.T MR scanners. No significant difference was also found in the accuracy of determining the location of prostate tumour between 1.5 T and 3T MR examinations, however, there were significant differences between sequences used, with the highest accuracy attained by using a combination of T2 weighted sequences and diffusion...

This thesis project aims for the development of a demonstration platform on mobile devices for testing and demonstrating algorithms for 2D and 3D spatial sound reproduction. The demo system consists of four omnidirectional microphones in a square planar array, an Octo sound card (from Audio Injector), a Raspberry Pi 3B+ (R-Pi) single-board computer and an inertial measurement unit (IMU) located in the center of the array. The microphone array captures sound, which is then digitized, and in turn, transferred to the R-Pi. On the R-Pi, the digitized sound signal is rendered through the directional audio coding (DirAC) algorithm to maintain the spatial properties of the sound. Finally, the digital signal and spatial properties are rendered through Dirac VR to maintain a spatial stereo signal of the recorded environment. The directional audio coding algorithm was initially implemented in Matlab and then ported to C++ since the R-Pi does not support Matlab natively. The ported algorithm was verified on a four-channel in and six-channel out system, processing 400 000 samples at 44 100 kHz. The results show that the C++ DirAC implementation maintained a maximum error of 4.43e-05 or -87 dB compares to the original Matlab implementation. For future research on spatial audio reproduction, a four-microphone smartphone mock-up was constructed based on the same hardware used in the demo system. A software interface was also implemented for transferring the microphone recordings and the orientation of the mock-up to Matlab.

The focus of this dissertation is to understand the physicochemical factors that affect the spatiotemporal control of phosphoinositide signaling events. Despite their low abundance in cellular membranes ( ~ 1% of total lipids) phosphoinositides are assuming major roles in the spatiotemporal regulation of cellular signaling, therefore making this group of lipids an attractive area of study, especially for identifying drug targets. The main phosphoinositide studied in this dissertation is phosphatidylinositol-4,5-bisphosphate [PI(4,5)P2], which regulates various intracellular signaling pathways, notably the PI3K/AKT pathway. The PI3K/AKT pathway plays a critical role in regulating diverse cellular functions including metabolism, growth, proliferation, and survival. Thus, dysregulation of the PI3K/AKT pathway is implicated in a number of human diseases including cancer, diabetes, cardiovascular disease and neurological diseases. PI(4,5)P2 regulates phosphoinositide signaling in the PI3K/AKT pathway through interaction of its highly anionic headgroup with polybasic proteins. The highly specific manner that allows hundreds of structurally diverse proteins to interact with lipid species found in such low supply may require the local formation of PI(4,5)P2 clusters (domains). Although a significant amount of evidence has accumulated over the past decade that supports the notion of PI(4,5)P2-rich clusters, our understanding regarding the structural determinants required for cluster formation remains limited. Studies have shown that PI(4,5)P2 clustering is induced by cellular cations interacting with PI(4,5)P2 via electrostatic interactions, suggesting that non-clustering/clustering transitions are particularly sensitive to ionic conditions. However, why some ions are more effectively cluster PI(4,5)P2 than others remains to be understood. For our first research aim, we investigated the effects of divalent (Ca2+) and monovalent cations (Na+, K+ ) on PI(4,5)P2 clustering to understand the ionic environment required for electrostatic PI(4,5)P2 cluster formation. We used monolayers at the air/water interface (Langmuir films) to monitor PI(4,5)P2 molecular packing in the presence of each cation. Our results indicated that Ca2+ individually and Ca2+ along with K+ had a greater effects on PI(4,5)P2 cluster formation than Na+ and K+, individually and combined. We hypothesize that the cations shield the negatively charged headgroups, allowing adjacent PI(4,5)P2 molecules to interact via H- bonding networks. The analysis of the electrostatic environment required for stable PI(4,5)P2 clustering will help us understand important aspects of PI(4,5)P2 mediated signaling events, such as the temporal control of protein binding to PI(4,5)P2 clusters to enhance their function. Another important spatiotemporal modulator that affects the local concentration of PI(4,5)P2 clusters is cholesterol, a steroid present in large quantities (30-40 mole%) in the plasma membrane. Cholesterol has been shown to induce the formation of liquid-ordered domains when interacting with an otherwise gel phase forming lipid, however, the interaction of cholesterol with an inner leaflet lipid species that favors more of a disordered environment to form clusters is poorly understood. We hypothesize that cations along with cholesterol work synergistically to induce PI(4,5)P2 clustering. Thus, our second research aim was to investigate the role of cholesterol on PI(4,5)P2 clustering by monitoring the molecular packing of PI(4,5)P2 in the presence of both cholesterol and cations. This aim was investigated similarly to the first aim with Langmuir trough monolayer film experiments. Our results showed that cholesterol in the presence of Ca2+ had an additive effect leading to the strongest condensation of the monolayer (increase in PI(4,5)P2 packing). Our hypothesis is that Ca2+ significantly reduces the negative electron density of the phosphate groups, allowing the cholesterol hydroxyl group to interact with PI(4,5)P2 headgroup through hydrogen-bond formation. To confirm our hypothesis, we collaborated with a computational group at the NIH that performed all-atom molecular dynamics (MD) simulations that closely agreed with our experimental data. Thus we were able to determine that the cholesterol hydroxyl group directly interacts via hydrogen-bonding with the phosphodiester group as well as the PI(4,5)P2 hydroxyl groups in the 2- and 6-position. The insight into the structural positioning of cholesterol moving closer to the PI(4,5)P2 headgroup region suggests this unique interaction is important for PI(4,5)P2 cluster formation. Other anionic lipid species are suspected to interact with PI(4,5)P2 and strengthen PI(4,5)P2 clustering. We were particularly interested in the interaction of PI(4,5)P2 with phosphatidylinositol (PI) and phosphatidylserine (PS) because both are abundant in the plasma membrane, ~6-10% and ~10-20% respectively, and both electrostatically bind to peripheral proteins. Therefore, the third research aim analyzed the capacity of PI and PS to form stable clusters with PI(4,5)P2. We hypothesize that a mixed PI/PI(4,5)P2 or PS/PI(4,5)P2 domains are ideal for protein binding, since in combination PI or PS with PI(4,5)P2 would provide the necessary negative electrostatic environment, while PI(4,5)P2 would provide the high specificity and additional electrostatics for protein binding. Langmuir trough monolayer films were used to investigate the stabilization of PI/PI(4,5)P2 and PS/PI(4,5)P2 monolayers in the presence of Ca2+. Our results showed a condensation of the monolayer for both PI/PI(4,5)P2 and PS/PI(4,5)P2 with an increase in Ca2+concentrations, which suggests that Ca2+ shields the highly negatively charged phosphomonoester groups of PI(4,5)P2 allowing PI and PS to participate in PI(4,5)P2’s hydrogen-bond network. Interestingly, both PI and PS equally stabilized PI(4,5)P2 cluster formation, therefore it is highly likely that these lipids interact in vivo to form large stable electrostatic domains required for protein binding. The first three aims provided us with information about the physiological relevant environments required for PI(4,5)P2 cluster formation, while the last aim was geared towards understanding the temporal control of protein association with phosphoinositides in the plasma membrane. Specifically, we analyzed the plasma membrane association of PTEN-L, a translation variant protein of PTEN, that has the ability to exit and enter back into cells, unlike classical PTEN. The ability of PTEN-L to facilitate entry across the anionic and hydrophobic layers of the plasma membrane (in the case of direct transport of PTEN-L across the membrane) or into phospholipid transport vesicles (in the case of vesicular transport of PTEN-L across cells) is likely due to the addition of the 173 N-terminal amino acids, the alternative translated region (ATR-domain). Thus, our fourth research aim focused on the biophysical role of the ATR-domain to associate with inner leaflet plasma membrane lipids. Using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to monitor secondary structural changes of the ATR-domain upon lipid binding, it was revealed that both PS and PI(4,5)P2 induced conformational change towards a slight increase in β-sheet content in an otherwise unstructured domain suggesting these lipids are required for ATR-domain interaction with the PM. Further studies revealed that the ATR-domain affects the integrity of PS lipid vesicles, further indicating the presence of PS is required to drive ATR-domain across the membrane. This aim provides information on ATR-domain lipid binding preferences aiding in our understanding of the biological and functional role of PTEN-L as a deliverable tumor suppressor protein. The overall goal of the research in this dissertation is to understand factors that fine-tune PI(4,5)P2 cluster formation in space and time. Our first three research aims were designed to understand the synergistic effects of spatiotemporal modulators (cations, cholesterol, and anionic lipids) on local concentration of PI(4,5)P2 clusters. Our results indicate that Ca2+, cholesterol, and the presence of anionic lipids PI and PS all induce stable domains, thus it is highly likely this is part of the biological environment required in vivo for cationic proteins to bind. The last aim, the association of the ATR-domain with phospholipids in the plasma membrane, provided evidence that PS is likely required to drive the ATR-domain across the plasma membrane. This dissertation unifies nearly two decades worth of research by shedding light on synergistic modulators of PI(4,5)P2 cluster formation (Figure 1). Thus, this work has potentially far reaching consequences for understanding temporal control of the spatially resolved protein activity.

Orientador: Carlos Eduardo Angeli Furlani / Resumo: A agricultura digital tem contribuído com a melhoria da eficiência na aplicação de insumos ou no plantio em local pré-determinado, resultando no aumento da produtividade. Nesta realidade a aplicação de técnicas de Processamento de Imagens Digitais, bem como a utilização de sistemas que utilizam a Inteligência Artificial, tem ganhado cada vez mais a atenção de pesquisadores que buscam a sua aplicação nos mais diversos meios. Com o objetivo de desenvolver um sistema robótico que utiliza um sistema de visão computacional capaz analisar uma imagem e, detectar basicamente a presença de cana-de-açúcar e planta daninha, bem como a ausência de qualquer planta, o projeto desenvolvido unificou conhecimentos sobre estas duas áreas da ciência da computação com a área de robótica e agricultura que, culminou no desenvolvimento de uma estrutura robótica com ferramentas gratuitas, como é o caso dos softwares e hardwares modulares voltados para o ensino de informática em escolas. A união de tudo isso resultou em uma estrutura de software e hardware que captura e armazena imagens em um banco de dados; além de possibilitar a classificação de imagens pelos usuários habilitados por meio de aplicativo Android. Por meio da verificação da acurácia entregue pelos algoritmos de Machine Learning, com injeção cíclica e, pela análise do tempo de resposta, foi constatado que o sistema é capaz, munido destas informações, de gerar classificadores que, remotamente são carregados pelo DRR (Dispositivo Robótic... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Digital agriculture has contributed to improving efficiency in the application of inputs or planting in a predetermined location, resulting in increased productivity. In this reality, the application of Digital Image Processing techniques, as well as the use of systems that use Artificial Intelligence, has increasingly gained the attention of researchers who seek their application in the most diverse media. In order to develop a robotic system capable of creating a computer vision system capable of analyzing an image and basically detecting the presence of sugarcane and weed, as well as the absence of any plant, the project developed unified knowledge on these two areas of computer science with the area of robotics and agriculture, which culminated in the development of a robotic structure with free tools, such as software and modular hardware aimed at teaching computer science in schools. The combination of all this resulted in a software and hardware structure capable of allowing the capture and storage of images in a database; in addition to enabling the classification of images by users enabled through the Android application. By checking the accuracy delivered by the Machine Learning algorithms with cyclic injection and analyzing the response time, it was found that the system was able, with this information, to generate classifiers that are remotely loaded by the RRD and these, in turn, were able to classify images in sugarcane fields in real time. / Mestre

This project revolves around creating a home automation system prototype with the main focus being the ability to lock/unlock a door through the internet. The system consists of a central device, a server and an Android application.The central device is a microprocessor, in this case, a Raspberry Pi that connects to the Internet and receives an order to control a motor which in turn turns the lock with the help of gears. The ability to rotate the motor in both directions is achieved by the use of an H-bridge. The server manages users and devices, and handles the communication between the application and the central device. Users and devices are stored in a database on the server. The application is a frontend which presents the user with a list of devices to interact with.The main prototype where the Raspberry Pi acted as a central device was abandoned due to time and resource constraints. It was instead used to control the motor directly. This brought up some problems concerning powering the device using batteries. The software of the prototype is mostly working but due to the same time limitations not all planned features could be implemented.

Machine-to-Machine (M2M) communications are used for several purposes, forinstance to transmit information derived from measurements collected frommonitoring instruments. M2M communications also allow intelligent devices toexchange real-time data without human intervention. Through a literaturesurvey regarding M2M, Mobile Communications, and Communication Protocolsfor M2M, such as the Constrained Application Protocol (CoAP), we found thatthe CoAP-UDP model is more suitable for M2M systems, than the HTTP-TCPapproach. Additionally, CoAP supports a DTLS implementation to provide endto-end security to protect communications. Consequently, CoAP was the selectedtechnology that allowed us to achieve the goal of designing a low-cost, scalable,secure, and standard-based communication solution for the company supportingthe project: Solelia Greentech. This company is the largest provider inScandinavia of solar chargers for electrical vehicles. The development andexperimental implementation of this solution was also successfully accomplished.We created a prototype that is able to gather information from a pulse generator(e.g. smart meter), process the data, run a CoAP server, and transmit dataresources to CoAP clients through a secure DTLS channel. Furthermore, aperformance analysis of the system and other existing Web server alternativeswas performed. As a result of this process, we concluded that the CoAP serverwe developed reaches between four and seven times higher throughputs than thecompared systems. Therefore, this project represents a viable alternative forexisting solutions on the market. / Machine-to-machine (M2M) kommunikation används för flera syften, till exempel överföra information från mätningar som samlats in från övervakningsprogram instrument. M2M kommunikation gör det också möjligt att intelligenta enheter utbyter data i realtid utan mänsklig inblandning. Genom en litteraturstudie om M2M, mobil kommunikation, och kommunikationsprotokoll för M2M, såsom Constrained Application Protocol (CoAP), fann vi att CoAP-UDP-modellen är mer lämpade för M2M-system, än HTTP-TCP strategi. Dessutom, CoAP stöder ett DTLS genomförande som bidrar med end-to-end säkerhet för att skydda kommunikation. Följaktligen CoAP var den valda tekniken som tillät oss att uppnå målet att utforma en billig, skalbar, säker och standardbaserad kommunikationslösning för företag som stödde projektet: Solelia Greentech. Detta företag är den största leverantören i Skandinavien av solar laddare för eldrivna fordon. Utveckling och experimentella genomförande av denna lösning var också lyckat fulländad. Vi skapade en prototyp som kan samla information från en pulsgenerator (t.ex. smarta mätare), process data, köra en CoAP server, och överföra dataresurser till CoAP-klient genom en säker DTLS kanal. En prestandaanalys av systemet och andra befintliga webbservern alternativ utfördes. Som en följd av denna process, vi drog slutsatsen att CoAP servern vi utvecklat når mellan fyra och sju gånger högre genomloppstid än de jämförda systemen. Därför Detta projekt är ett lönsamt alternativ för befintliga lösningar på marknaden.