Progressive Web Applications are becoming more advanced and have increased user activity year after year, especially on mobile platforms. But still the standard of performance does not in most cases meet what we expect in relation to the time it takes to load these. Technologies are evolving as an attempt to change this, and one that has gained a lot of attention in recent years is Google AMP (Accelerated Mobile Pages). A technology that initially aimed at very simple content, but which has recently become more advanced but has its main focus on performance. An entire application does not need to be developed with this technology, but a noted method is to use it as an entry-point to another application as an attempt to reduce the initial load time for the user and enhance the experience in later navigations. This report investigates with an experiment how the AMP technology stands against another technology focused on speed, in this case the JavaScript framework Gatsby. This is done with the frameworks as a combination using AMP as an entry-point and also developed separately, all with enhanced Progressive Web App features. To make development easier and understand the difference of applications included in the study, a literature study was also done with focus on this aspect. At the point when the applications became published and available through Google search and measurements for the applications were made, it was discovered that their metrics load time, start render and speed index all had major performance improvements for the AMP applications on the first load with a mobile device utilizing Google cache CDN, but the effect was not as great on desktop. The implementation process differs some in the frameworks included, and turned out to be more restricted with AMP with the desired effect of increasing performance. While the second framework Gatsby is developed more flexible and could be seen as a more modern way of developing.  It shows a positive opportunity to combine technologies to serve content to a user faster on mobile devices, which could be an action to speed up the web and maintain the user experience.

Orientador: Moacir Pereira de Souza Filho / Banca: Deuber Lincon da Silva Agostini / Banca: Luciano Gonsalves Costa / Resumo: Esta pesquisa consiste no desenvolvimento de um site com recursos multimidiáticos e planos de aula baseadas na metodologia híbrida a serem utilizados como instrumentos para o ensino dos fenômenos ondulatórios. Os conteúdos textuais que compõem o site App Fenômenos Ondulatórios - MNPEF foram desenvolvidos exclusivamente para esta pesquisa, de forma que abordassem os tópicos a partir de temas geradores. O material desenvolvido foi aplicado em voluntários do ensino médio, ao longo de quatro encontros, que foram estruturados de forma a mesclar dois modelos do ensino híbrido: rotação por estações e laboratório rotacional. A análise, de caráter qualitativa, foi pautada nas impressões do pesquisador, questionários da plataforma Google e diários de bordo confeccionados pelos estudantes voluntários. De forma geral, percebeu-se a valorização do papel do professor e a efetividade da proposta metodológica utilizada, pois esta tornou o processo de ensino e aprendizagem dinâmico e eficiente. Outro ponto significativo foi a possibilidade de oferecer aos alunos envolvidos uma postura mais ativa ao longo dessa jornada pelo conhecimento / Abstract: This research focus on the development of a site using multimediatic resources and lesson plans based on the blended learning, to be used as tools for the teaching of wave phenomena. The textual contents that indite the App wave Phenomena site - MNPEF (App Fenômenos Ondulatórios - MNPEF) were developed exclusively for this research, so that they approached topics from generating themes. The developed material was applied to the high school volunteer students, along four meetings, which were structured to merge two of the hybrid learning models: rotation by stations and rotational laboratory. The analysis, qualitative type done, was based over the impressions of the researcher, Google platform questionnaires and logbooks made by volunteer students. In general, it was realized the appreciation of the teacher's role and the effectiveness of the methodological approach used, as this has made the process of teaching and learning dynamic and efficient. Another significant moment was the possibility to allow the students involved a more active role throughout this journey for knowledge / Mestre

Memoria para optar al título de Ingeniero Civil Eléctrico / El presente trabajo tiene como objetivo principal la predicción de robos de vehículos en la ciudad Santiago de Chile, mediante la confección de un modelo de Redes Neuronales que se alimente de información gráfica, socioeconómica y temporal de un sector geográfico de robo. Para ello se utiliza la base de edatos de robos de vehículos de la Asociación de aseguradoras de autos de Chile (AACH), y a cada muestra se le asignan cuatro imágenes de Google Street View, 15 características socioeconómicas extraídas del Instituto Nacional de Estadística (INE) y de la Infraestructura de Datos Geospaciales de Chile (IDE), en conjunto con la temperatura en la fecha del incidente y la cantidad de incidentes cercanos que ocurren en el mes anterior. Esta memoria está enmarcada en el proyecto Fondef ID16I10222, liderado por los profeso- res Richard Webe y Ángel Jiménez del departamento de Ingeniería Industrial de la Univer- sidad de Chile. Para alcanzar el objetivo señalado al comienzo ,se propone un modelo de red neuronal alimentado por joint features y deep features; esto es que la red neuronal aprende de dis- tintos formatos de información como lo son datos estadísticos e imágenes. Además, en el caso de las imágenes, no son utilizadas directamente sino que se extraen carecterísticas de ellas, mediante una segunda red convolucional denominada Alexnet. Para entrenar la red es necesario disponer de zonas seguras, para lo cual se organiza la base de datos de ro- bos por fecha y se agrupa por mes, períodos en los cuales se denotan como zonas seguras aquellas que en el presente mes no posean a la redonda de 500 metros una ubicación de robos. El principal resultado esperado de la aplicación de este modelo es la obtención de proba- bilidades por zonas en una grilla de 0.01 grados de latitud y longitud sobre Santiago de Chile que puede ser representado como un heatmap de riesgo en la ciudad. Del modelo presentado, utilizando el conjunto completo de características se obtiene un 97.7% de accuracy, un 95% de precisión , un 98.9% de recall y un 97% de F1. Además al hacer reducción de características mediante Recursive feature selection y seleccionar las principales 1000 características, se obtiene un 92.96 % de accuracy, un 93.46 % de precisión, un 92.09 % de recall y un 92.77 % de F1. Con esto se concluye que el desempeño del modelo propuesto efectivamente permite una alta tasa de clasificación y además permite la creación de una representación gráfica. / Fondef 16I10222

Syftet med studien är att undersöka hur AI kan användas som verktyg inommusikproduktion. De tre program som valdes ut för undersökningen var: AIVA, GoogleAI och Jukebox. För att genomföra undersökningen har deskriptiv fallstudie valts sommetod med komplettering av autoetnografi och designforskning. Resultatet visade påhur de olika programmen kunde användas i olika områden av musikproduktion. AIVAkan användas för att komplettera och/eller återskapa mänsklig kreativitet. Jukebox somär en generativ modell kan användas för att emulera ljudfiler till att imitera olika låtareller andra kompositörers stilar. Google AI består av flera AI program bland annatScribe och Magneta Studios ingår. Där Scribe kan användas för att transkriberapianoljudfiler till MIDI och Magenta Studios kan användas som fristående programeller som plugins i en DAW och med MIDI eller ljudfiler kan programmet utökakreativiteten, ge nya idéer eller bara för experimentera med AI. AI i musikproduktionkan användas som ett effektivt hjälpmedel för att skapa, hitta eller utöka kreativitet.Studien bidrar till att ge ytterligare kunskap om hur AI kan användas som ett kreativtverktyg i musikproduktion genom forskaren själv använder programmen och på ettdetaljerat sätt förklarar processen från början till slut och tar upp exempel på hurprogrammen kan användas i musikproduktion.

The seagrass extent has been declining globally. The human activities that are most likely to cause seagrass loss are those which affect the water quality and clarity. However, turbidity following coastal erosion is often left out from marine ecosystem vulnerability indices. This study quantified the coastal erosion for Tsimipaika Bay in northwestern Madagascar by using change detection analysis of satellite imageries. The annual coastal erosion data was then used to create an index for seagrass vulnerability to turbidity following coastal erosion. Considering that the height of seagrass species plays an important role in their survival following turbidity, the seagrass vulnerability index (SVI) was based on two factors; seagrass species height and their distance to the nearest possible erosion place. The results for the coastal erosion showed that the amount of erosion was particularly high in 1996, 2001 and 2009 for Tsimipaika Bay. The highest erosion occurred in 2001 with a land loss area of about 6.2 km2 . The SVI maps revealed that 40% of the seagrass communities had minimum mean SVI values in 2001 and 50% had the maximum mean SVI during the year 2009. This study showed that it is possible to use coastal erosion to measure seagrass vulnerability; however, the index requires configuration such as including the total amount of annual coastal erosion and incorporating bathymetric data. The entire project was built and automated in Jupyter Notebook using Python programming language, which creates a ground for future studies to develop and modify the project.

Diploma thesis deals with the land cover classification in Sidama region of Ethiopia and 2 kebeles, Chancho and Dangora Morocho. High resolution Sentinel-2 and very high resolution PlanetScope satellite images are used. The development of the classification algorithm is done in the Google Earth Engine cloud based environment. Ten combinations of the 4 most important parameters of the Random Forest classification method are tested. The defined legend contains 8 land cover classes, namely built-up, crops, grassland/pasture, forest, scrubland, bareland, wetland and water body. The training dataset is collected in the field during the fall 2020. The classification results of the two data types at two scales are compared. The highest overall accuracy for land cover classification of Sidama region came out to be 84.1% and kappa index of 0.797, with Random Forest method parameters of 100 trees, 4 spectral bands entering each tree, value of 1 for leaf population and 40% of training data used for each tree. For the land cover classification of Chancho and Dangora Morocho kebele with the same method settings, the overall accuracy came out to be 66.00 and 73.73% and kappa index of 0.545 and 0.601. For the classification of Chancho kebele, a different combination of parameters (80, 3, 1, 0.4) worked out better...

Research at Miun investigates the so called “Internet of Things”. The research has so far produced components for sharing sensor and actuator information on the Internet, most notably the Sensible Things platform. The Sensible Things platform can run on many different devices such as smart phones, raspberry Pi devices, and desktop computers. However, programming applications based on the Sensible Things platform and deploying it on the hardware require knowledge of the Java programming language and the API of the platform. Today, many novice and first time programmers learn to program using the Blockly programming method, which include connecting blocks together to form simple procedures. Therefore, we have applied the Blocky method to ease the development of simple applications on the Sensible Things platform. After the work was done, the general users are now able to create entry level Sensible Things Applications.

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The master thesis is focused on the information system of broker company. Analyze its strengths and weaknesses, describes suggest changes, including the implementation of improvements in project management and describes recommendations and visions for the future.

This master thesis deals with the issue of online promotion for a particular group of online shops. The first part deals with the clarification of concepts that are closely related to the given issue. The second part analyzes the current promotion of internet shops. In the design section there are several sub-proposals that lead to the improvement of e-shop promotion.