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Dong, Bowen (2018). Developing a website to visualize image data based on the working principles of Dark Sky Meter. Thesis (Master thesis), E.T.S. de Ingenieros Informáticos (UPM).
Title: | Developing a website to visualize image data based on the working principles of Dark Sky Meter |
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Item Type: | Thesis (Master thesis) |
Masters title: | Inteligencia Artificial |
Date: | 2018 |
Subjects: | |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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In 2009, Australia's "universe" magazine reported that a survey showed that 70% of the world's population lived in the
light pollution. 20% of the world's population (67% of the US and 50% of Europe) could not see the beauty of the
galaxy with the naked eye at night. The author of the report said: "human beings are losing the beautiful night sky, and
it is artificial lighting that causes the stars to disappear." In a clear night sky without light pollution, 7000 stars can be
seen by the naked eye, but under the influence of the city glow, only less than 30 can be seen.
Nowadays, more and more organizations begin to pay a lot of attention and researching on light pollution, while this
paper focuses on a famous and popular mobile phone application - Dark Sky Meter, to discuss how to use an economic
and efficient way of technology to obtain a relatively accurate data of light pollution, so as to enhance the quality of
astronomy needs to research in various fields. In this article, we will examine in depth on how this software collects
data, generates light pollution maps, and other related applications. The purpose here is to combine the technology of
artificial intelligence to extend the similar benefits of Dark Sky Meter on combining other operating system and devices,
not only iOS, to the maximum with this application. And at the same time, we will explore more possibilities for
spreading the influences and effects of this web version so that it can be utilized and developed in more different fields
of users.
In this article, in addition to the exploration and analysis of the original functions of the Dark Sky Meter software, the
emphasis is to provide a similar platform for other devices outside the iOS device to achieve similar results. What is
more, in addition to the basic working principles and processes with the Dark Sky Meter, we will add some new details
to make the measurement of the sky luminosity higher accuracy and the reference value. For example, providing more
professional information collection to professional equipment users; providing an open environment for all users to see
all the relevant details; the possibility of extending more types of devices to upload resources is also a major feature of
the software, and so on.
This series of research combines many aspects of knowledge, such as web development, front-end design, API design,
image processing and so on, so it is hoped that this design can provide some degree of reference for other research
projects in similar fields.
Item ID: | 52237 |
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DC Identifier: | https://oa.upm.es/52237/ |
OAI Identifier: | oai:oa.upm.es:52237 |
Deposited by: | Biblioteca Facultad de Informatica |
Deposited on: | 14 Sep 2018 08:58 |
Last Modified: | 14 Sep 2018 08:58 |