Browsing by Subject "Framework"
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ItemPiFrame: A Framework for Home Automation Platform on the Full Feature OS( 2016-01) Pasd PutthapipatThis work provides the framework for implementing the embedded systems on the embedded computer that running full-feature OS to shorten the development cycle and reduces the embedded system limitation. The Raspberry Pi, running the full-feature Linux, is used as the based system of the framework with the additional development of software environment and general purpose hardware extension. The framework can be used for both education and research.
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ItemSearch engine optimization (SEO) with Google( 2010) Thotsapon Sortrakul ; Chinapat EksathitAt present, internet is one of the major needs for everyone. Someone needs it for finding information, social networking, etc. But many of them use it for doing commercial. Obviously, all online companies need to have their own websites or bloggers. This is increasing a number of commercial websites or bloggers available on the internet, excluding any kinds of non-commercial websites or bloggers. Imagine if you have your own website, how could you do to make many people know and be able to visit your website easily? There are many answers of the question but the answer, which would be very cost-effective and align with most of internet users' behavior, is to do search engine optimization. This project will focus on GoogleTM. It will explain you how to start doing SEO with GoogleTM and provide you the basic SEO framework. Lastly, the project will give you an example of how to apply the SEO framework with an example website and will also show you the result.
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ItemUsing Learning Management System (LMS) activity logs for developing a framework for improving the core components of an eLearning courseQuality of eLearning components is becoming a key issue in a virtual leaning environment. The main objective of this paper is to provide educators and content experts a better understanding of the significance of usage of Learning Objects (LOs) or core components provided in an eLearning courseware. Most significant outcome of this work is to share a few statistical techniques to analyze the usage of various learning objects (LOs) or components for improving the quality of eLearning courseware. This work is accomplished by capturing the student's conference data through the activity logs and reports available in a Learning Management System (LMS). The captured data is statistically analyzed for usage patterns of various components. The outcomes are used to propose a framework to improve learning objects (LOs) or components in an eLearning courseware.