Land cover dynamics in Savanna Ecosystem of Borena Ethiopia

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Cálculo do limite superior para a capacidade discriminante de modelos preditivos baseados na informação disponível – variáveis dependentes dicotómicas

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação.

Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Spatio-Temporal data modeling in response to deforestation monitoring (a case study of small region in Riau Province, Indonesia)

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Automated segmentation, tracking and evaluation of bacteria in microscopy images

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Efetividade da intervenção conservadora e de um programa de exercício físico no solo na osteoartrose do joelho

RESUMO: Objectivo: O estudo do efeito da fisioterapia e do exercício em diversos indicadores relacionados com a osteoartrose do joelho tem evidenciado efeitos benéficos em utentes com esta condição. Nesta sequência, pretendeu-se avaliar a efetividade da intervenção conservadora em conjunto com um programa de exercícios ao nível da dor, rigidez, amplitude articular, função física e qualidade de vida em utentes com osteoatrose do joelho a curto prazo, quando comparado com a intervenção recomendada. A prática clínica atual em Portugal, sob prescrição, desenvolve-se de acordo com o padrão que se pretende investigar. Metodologia: Trata-se de um estudo quasi-experimental controlado e sem aleatorização. Os utentes da Clínica FPM (n=20; 35,0% homens, 65,0% mulheres) sujeitos à intervenção conservadora (calor húmido, ultra-som e massagem) em conjunto com um programa de exercício no solo, durante um período de 4 semanas com frequência diária, integram o grupo experimental e os utentes inscritos no programa de exercício a solo do “Viver Activo” no Leirisport (n=21; 23,8% homens, 76,2% mulheres), num período de 8 semanas com frequência bi-semanal são considerados como grupo de controlo. Os instrumentos de medida aplicados foram o Knee Outcome Osteoarthritis Score (KOOS) para os outcomes dor, rigidez, função física e qualidade de vida e a goniometria para a amplitude articular. Resultados: Em ambos os grupos foram observados aumentos significativos em todos os outcomes avaliados pelo KOOS (dor, rigidez, função física e qualidade de vida) e pela goniometria (amplitude articular) num período de 4 e 8 semanas. Quando comparada a evolução do grupo experimental com a do grupo controlo, verifica-se que as diferenças significativas ocorrem na flexão (p <0,05) (maior evolução para o grupo experimental), e na dor (p <0,05) (maior evolução para o grupo controlo). Nos outcomes rigidez, função física e qualidade de vida foi ainda possível identificar resultados positivos que sugerem possíveis benefícios da intervenção em grupo para os sujeitos a ela submetidos. Discussão e Conclusão: Estes resultados sugerem que a intervenção clínica individualizada é mais efectiva do que a intervenção em grupo no aumento da amplitude articular do joelho em utentes com osteoartrose a curto prazo. No entanto, para os outcomes dor, rigidez, função física e qualidade de vida, a intervenção em grupo parece ser clinicamente e estatisticamente melhor. A relevância deste estudo afirma-se ao demonstrar que utentes com osteoartrose do joelho que integrem um programa de exercício em grupo beneficiam de melhorias importantes. Ao adicionar sessões de fisioterapia para realização de intervenção conservadora individualizada e exercícios supervisionados agrega um maior alívio sintomático.-------- ABSTRACT: Study of physical therapy and exercise into several indicators associated to knee osteoarthritis has shown positive effects in subjects within this condition. According to the study it has been evaluated the effectiveness of a conservative intervention along with a exercise program directed to pain, stiffness, range of motion, physical function and quality of life of patients with knee osteoarthritis in a short term when compared with the recommended intervention. Under prescription the current clinical practice in Portugal is developed according to the pattern to investigate. Methodology: This is a quasi-experimental controlled study without randomization. The subjects of FPM Clinic (n= 20, 35.0% men, 65.0% women) were submitted to the conservative intervention (hot pack, ultrasound and massage) with a land exercise program during a 4 week-period (all-weekly) were assigned in the experimental group. Patients signed in the land exercise program of "Active Living" in Leirisport (n = 21, 23.8% men, 76.2% women) a 8 week-period (bi-weekly) were assigned as control group. Outcomes were measured by the Knee Outcome Osteoarthritis Score (KOOS) for pain, stiffness, physical function and quality of life. Goniometry was used for range of motion. Results: Both treatment groups obtained successful outcomes measured by significant reductions in KOOS scores and improvement in goniometry in a 4 and 8-week period. When compared the evolution of the experimental group with the control group it appears that significant differences occur in the range of motion (p <0.05) (further progress in the experimental group), and pain (p <0.05) (further evolution for the control group). In outcomes stiffness, physical function and quality of life was possible to identify positive results that suggest potential benefits of intervention for the submitted subjects. Discussion and Conclusion: These results suggest that individualized clinical intervention is more effective than group intervention in range of motion improving in patients with knee osteoarthritis in a 4-week period. However outcomes for pain, stiffness, physical function and quality of life appear to be clinically and statistically better for the group intervention. The significance of this study is essencial because it demonstrates that patients with knee osteoarthritis who incorporate an exercise program in group reveal improvements. When adding physical therapy sessions with individual conservative intervention and supervised exercises the result is an improvement of symptomatic relief.

Urban land use and land cover change analysis and modeling a case study area Malatya, Turkey

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Detecting and evaluating land cover change in the eastern half of East Timor (1972-2011)

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Assessing the impacts of land use and land cover change on hydrology of watershed: a case study on Gigel-Abbay Watershed, Lake Tana Basin, Ethiopia

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Analysis of urban land use and land cover changes: a case of study in Bahir Dar, Ethiopia

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

Ensemble classifiers in remote sensing: a comparative analysis

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Automatic delimitation of the clinical region of interest in ultra-wide field of view images of the retina

Retinal ultra-wide field of view images (fundus images) provides the visu-alization of a large part of the retina though, artifacts may appear in those images. Eyelashes and eyelids often cover the clinical region of interest and worse, eye-lashes can be mistaken with arteries and/or veins when those images are put through automatic diagnosis or segmentation software creating, in those cases, the appearance of false positives results. Correcting this problem, the first step in the development of qualified auto-matic diseases diagnosis programs can be done and in that way the development of an objective tool to assess diseases eradicating the human error from those processes can also be achieved. In this work the development of a tool that automatically delimitates the clinical region of interest is proposed by retrieving features from the images that will be analyzed by an automatic classifier. This automatic classifier will evaluate the information and will decide which part of the image is of interest and which part contains artifacts. The results were validated by implementing a software in C# language and validated through a statistical analysis. From those results it was confirmed that the methodology presented is capable of detecting artifacts and selecting the clin-ical region of interest in fundus images of the retina.

Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neurons degeneration, which reduces muscular force, being very difficult to diagnose. Mathematical methods are used in order to analyze the surface electromiographic signal’s dynamic behavior (Fractal Dimension (FD) and Multiscale Entropy (MSE)), evaluate different muscle group’s synchronization (Coherence and Phase Locking Factor (PLF)) and to evaluate the signal’s complexity (Lempel-Ziv (LZ) techniques and Detrended Fluctuation Analysis (DFA)). Surface electromiographic signal acquisitions were performed in upper limb muscles, being the analysis executed for instants of contraction for ipsilateral acquisitions for patients and control groups. Results from LZ, DFA and MSE analysis present capability to distinguish between the patient group and the control group, whereas coherence, PLF and FD algorithms present results very similar for both groups. LZ, DFA and MSE algorithms appear then to be a good measure of corticospinal pathways integrity. A classification algorithm was applied to the results in combination with extracted features from the surface electromiographic signal, with an accuracy percentage higher than 70% for 118 combinations for at least one classifier. The classification results demonstrate capability to distinguish members between patients and control groups. These results can demonstrate a major importance in the disease diagnose, once surface electromyography (sEMG) may be used as an auxiliary diagnose method.

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.

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.