Sökning: "Data Abstraction"
Visar resultat 16 - 20 av 135 uppsatser innehållade orden Data Abstraction.
16. Design and Implementation of Domain Modeling Language using Object Oriented Requirements : Case Study on Jeppesen's Modeling Language
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: With the rapid progress in the world, it is still a drawback that data modeling have to be developed and maintained separately each time when enhanced work is carried out. The technology we have now is not good enough to automate itself and keep itself up to date. It needs regularly to get help from people to keep working. LÄS MER
17. Using sonic interaction to present energy usage in a home
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Household consumption is a major part of global energy usage [13]. It is known that displaying energy usage data regarding a household’s consumption can reduce its overall energy consumption [2,3,5,8,9]. This paper explores the possibilities of displaying energy data in households using sonification, or the display of data using sound. LÄS MER
18. Investigating MOOCs with the use of sentiment analysis of learners' feedback. What makes great MOOCs across different domains?
Master-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)Sammanfattning : Recently, distance education has become popular and has gotten much attention. Information and Communication Technology advances fostered distance learning creation and enabled individuals to participate in the education process via various web-based platforms and study entirely online. Thus, the notion of e-learning and distance learning emerged. LÄS MER
19. Software Synthesis of Synchronous Data Flow Models Using ForSyDe IO
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The implementation of embedded software applications is a complex process. The complexity arises from the intense time-to-market pressures; power and memory constraints. To deal with this complexity, an idea is to automatically construct the applications based on the high-level abstraction model. LÄS MER
20. API data gathering and structuring for machine learning and human use : Optimizing API data for both financial machine learning and being easy to read and use by the end user
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis looks into how to implement an abstraction layer between transaction data gathered from Revised Payment Services Directive (PSD2) compliant banks via an Application Programming Interface (API) and a data base, with a human user interface for reading and structuring the data. API for data sources tend to not have a standardized structure and this creates a problem for machine learning. LÄS MER