Control system for actuation and sensing in digital microfluidics devices

Digital Microfluidics (DMF) is a second generation technique, derived from the conventional microfluidics that instead of using continuous liquid fluxes, it uses only individual droplets driven by external electric signals. In this thesis a new DMF control/sensing system for visualization, droplet control (movement, dispensing, merging and splitting) and real time impedance measurement have been developed. The software for the proposed system was implemented in MATLAB with a graphical user interface. An Arduino was used as control board and dedicated circuits for voltage switching and contacts were designed and implemented in printed circuit boards. A high resolution camera was integrated for visualization. In our new approach, the DMF chips are driven by a dual-tone signal where the sum of two independent ac signals (one for droplet operations and the other for impedance sensing) is applied to the electrodes, and afterwards independently evaluated by a lock-in amplifier. With this new approach we were able to choose the appropriated amplitudes and frequencies for the different proposes (actuation and sensing). The measurements made were used to evaluate the real time droplet impedance enabling the knowledge of its position and velocity. This new approach opens new possibilities for impedance sensing and feedback control in DMF devices.

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.

Evaluation of geostatistical techniques to estimate the spatial distribution of aboveground biomass in the Amazon rainforest using high-resolution remote sensing data

ABSTRACT The spatial distribution of forest biomass in the Amazon is heterogeneous with a temporal and spatial variation, especially in relation to the different vegetation types of this biome. Biomass estimated in this region varies significantly depending on the applied approach and the data set used for modeling it. In this context, this study aimed to evaluate three different geostatistical techniques to estimate the spatial distribution of aboveground biomass (AGB). The selected techniques were: 1) ordinary least-squares regression (OLS), 2) geographically weighted regression (GWR) and, 3) geographically weighted regression - kriging (GWR-K). These techniques were applied to the same field dataset, using the same environmental variables derived from cartographic information and high-resolution remote sensing data (RapidEye). This study was developed in the Amazon rainforest from Sucumbíos - Ecuador. The results of this study showed that the GWR-K, a hybrid technique, provided statistically satisfactory estimates with the lowest prediction error compared to the other two techniques. Furthermore, we observed that 75% of the AGB was explained by the combination of remote sensing data and environmental variables, where the forest types are the most important variable for estimating AGB. It should be noted that while the use of high-resolution images significantly improves the estimation of the spatial distribution of AGB, the processing of this information requires high computational demand.

Multifunctional Ti–Me (Me=Al, Cu) thin film systems for biomedical sensing devices

Ti-Me binary intermetallic thin films based on a titanium matrix doped with increasing amounts of Me (Me = Al, Cu) were prepared by magnetron sputtering (under similar conditions), aiming their application in biomedical sensing devices. The differences observed on the composition and on the micro(structural) features of the films, attributed to changes in the discharge characteristics, were correlated with the electrical properties of the intermetallic systems (Ti-Al and Ti-Cu). For the same Me exposed areas placed on the Ti target (ranging from 0.25 cm2 to 20 cm2) the Cu content increased from 3.5 at.% to 71.7 at.% in the Ti-Cu system and the Al content, in Ti-Al films, ranged from 11 to 45 at.%. The structural characterization evidenced the formation of metastable Ti-Me intermetallic phases for Al/Ti atomic ratios above 0.20 and for Cu/Ti ratios above 0.25. For lower Me concentrations, the effect of the α-Ti(Me) structure domains the overall structure. With the increase amount of the Me into Ti structure a clear trend for amorphization was observed. For both systems it was observed a significant decrease of the electrical resistivity with increasing Me/Ti atomic ratios (higher than 0.5 for Al/Ti atomic ratio and higher than 1.3 for Cu/Ti atomic ratio). Although similar trends were observed in the resistivity evolution for both systems, the Ti-Cu films presented lower resistivity values in comparison to Ti-Al system.

Development of sensing systems for environmental monitoring

This project focused on the investigation and the development of a chemical sensing system for the determination of chromium Cr6+ and a bio-reactor followed by electrochemical detection at a glassy carbon electrode, for the determination of organochlorine compounds. The conjugation of Cr6+ with 1,5-diphenylcarbazide was studied at various types of electrodes such as glassy carbon, ultra-trace epoxy-graphite, chemically or un-modified carbon-paste and dropping-mercury. The cyclic voltammetric behaviour of the complex was also investigated. In addition, the possibility of developing a chemical sensor, Le. an electrochemical probe capable of sensing Cr6+ through its complexation with 1,5-diphenylacarbazide was studied. The conjugations of l-chloro-2,4-dinitrobenzene, 2,4-dichloronitrobenzene and ethacrynic, which are electrophilic organochlorine compounds, with reduced glutathione, were studied in order to test the bioreactor developed, based on the immobilisation of glutathione s-transferase. This was carried out at different types of electrodes such as glassy-carbon, gold, silver, platinum, epoxy-graphite, hangingmercury, and ferrocene-modified rotating-disc electrodes.

Influência de sexo e energia sobre a taxa de crescimento, eficiência de utilização alimentar, taxa de uréia (U) e de proteína iodada do plasma (PI) em gado de corte

Três rações, com nível alto, médio e baixo de energia - tratamento T1 , T2 T3 - foram ministradas em confinamento, à vontade, a bovinos recém-desmamados, machos inteiros, castrados e fêmeas, durante dois períodos de 17 semanas. Os machos inteiros exibiram a maior habilidade de ganho de peso, e as novilhas a menor habilidade. O tratamento T1 proporcionou os melhores ganhos e conversões, e o T2 os inferiores. Verificou-se pequena superioridade no teor protéico de T3, ao que se atribuiu sua vantagem sobre T2 no 1º período, e aparente crescimento compensatório no 2º período. O teor de uréia foi superior nos machos inteiros, e semelhante nos outros animais, superior em T3 e semelhante em T1 e T2, bem como aumentou consistentemente durante o experimento. Aparentemente a uréia refletiu o fornecimento adequado de proteína e, mais ainda, de energia. O teor de proteína-iodada não mostrou diferença significativa, mas apenas tendência de se elevar com o decorrer do tempo. Não houve correlação entre os dois componentes do sangue. Concluiu-se que a eficiência de utilização alimentar foi: superior nos machos inteiros, proporcional à quantidade de energia ingerida (no caso do 1º período); favorecida pelo teor maior de proteína de T3 em relação a T2 no 19 período, e talvez por ganho compensatório no 2º período; refletida pelos níveis de uréia no plasma, mas não correlacionado com proteína- iodada.

Simulació d'un sistema dinàmic: el creixement del pi blanc i la seva resposta davant dels incendis

Treball de recerca realitzat per un alumne d’ensenyament secundari i guardonat amb un Premi CIRIT per fomentar l'esperit científic del Jovent l’any 2006. La capacitat d’entendre i predir sistemes naturals ha rebut un suport important gràcies als ordinadors i, amb ells, la capacitat de simular processos. En aquest cas es concreta en la creació d’un model de simulació pel creixement del pi blanc i la seva regeneració després d’un incendi. En una primera part es fa una aproximació des de l’àmbit de la biologia a aspectes com la successió forestal, els incendis forestals i la descripció del pi blanc i la seva regeneració després d’un incendi. L’última part té una vessant més tecnològica, explicant la simulació, i en concret, l’autòmat cel•lular. Aquest és el tipus que s’ha emprat per a la realització d’un programa de simulació que no s’inclou aquí.

Jordi Sabater Pi

Biografia del Doctor Jordi Sabater Pi, pioner mundial en l’estudi dels primats i dels amfibis africans.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Dipòsit i caracterització de capes primes orgàniques de P3HT:PCBM per a aplicacions fotovoltaiques

En un món on el ritme de la societat actual ens ha portat a considerar les energies enovables com a prioritat vital i necessària i en el que es preveu que la demanda energètica augmenti un 50% fins al 2030, l'interès en la recerca de materials emiconductors orgànics per aplicacions de captura solar, ha assolit un potencial enorme de cara al futur. Molts són el avantatges que presenten aquest tipus de materials en front als seus homòlegs inorgànics. La facilitat de fabricació, la utilització de materials més econòmics i amb menys impacte ambiental, així com la possibilitat de produir dispositius flexibles, són algunes de les atractives aracterístiques que presenten aquests materials. No obstant, certs inconvenients om les baixes eficiències energètiques dels dispositius, i la inestabilitat ambiental ue es tradueix en un temps de vida molt reduït, fan que encara s'hagi d'invertir sforç per aconseguir que aquests materials puguin ser utilitzats en el camp de la aptura d'energia solar. El material més prometedor fins a data d'avui és el P3HT:PCBM. Es tracta d'un sistema polímer:molècula lleugera, on el P3HT actua com a component donador del sistema i el PCBM actua com a component acceptor. Les propietats optoelectròniques i eficiències energètiques de combinats orgànics P3HT:PCBM epèn en gran mesura de la seva morfologia i microestructura. Paràmetres com la proporció entre els components, el dissolvent utilitzat en la dissolució, així com 'aplicació de determinats tractaments tèrmics afecten de forma crítica a la seva orfologia. Durant el present treball s'han utilitzat diverses tècniques de caracterització per a estudiar determinades propietats que presenten aquest tipus de aterials. Entre les tècniques experimentals utilitzades hi trobem la microscòpia FM, l'espectroscòpia Raman i la conductimetria AFM o current sensing AFM CS-AFM). Els experiments en temps real durant l'escalfament de capes primes 3HT:PCBM, mostren que el P3HT pateix una cristal·lització al voltant dels 140ºC, permetent el reordenament de les molècules i un millor solapament del sorbitals [pi]-[pi]*, que resulta en un increment del transport de forats a través de la fase donadora del material. Paralel·lament, entre els 80-120ºC, el material també presenta determinats canvis tant en el comportament dels enllaços, com en la cristal·linitat del material, provocant una quasi transició de fase que atribuïm a la transició vitrea del material. Per altra banda, experiments amb conductimetria AFM realitzats en sistemes P3HT:HDPE mostren un signicatiu augment en la eva estabilitat ambiental, que es tradueix en un augment del temps de vida, sense una pèrdua considerable en els seus valors de conducció. Tot i la combinació del P3HT amb proporcions de polímers aïllants de fins al 80%, el sistema és capaç de no perdre la capacitat de transport gràcies a la formació de fases i dominis rics en P3HT. El present treball posa de manifest que ens trobem davant d'una tecnologia emergent i que nous estudis i esforços en la recerca d'aquest tipus materials és fonamental per aconseguir nous resultats i posicionar als materials semiconductors orgànics com una alternativa viable en el camp dels dispositus fotovoltaics. Assumint dades procedents de la tecnologia actual utilitzada en aquest tipus de materials, estudis i avaluacions ambientals i econòmiques mostren que petits increments tant en les eficiències com en el temps de vida de dispositius basats en aterials orgànics, posicionarien a aquest material com a alternativa totalment viable en el mercat fotovoltaic d'un futur proper.