Proposal for "Implementation and evaluation of Space Time Alarm Clock"
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Transcript of Proposal for "Implementation and evaluation of Space Time Alarm Clock"
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Space Time Alarm ClockMaster Thesis Proposal
Student: Adrian C. PrelipceanSupervisor: Takeshi ShirabeCo-supervisor: Falko Schmid
AG242X GeoinformaticsKTH Royal Institute of Technology
School of Architecture and Built Environment Department of Geoinformatics
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Outline
The presentation’s agenda consists of:1. Introduction2. Statement of the problem3. Motivation4. Methodology5. Time schedule6. Acknowledgments
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Introduction
Do we still use alarm clocks?
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Introduction
Do we still use alarm clocks?Of course we do!
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Introduction
Why do we still use alarm clocks?1. To perform activities without worrying about the
time2. To get a sense (control) of time3. To synchronize our schedule with that of others4. As a reminder5. To wake up :-)
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The problem
Current problems with alarm clocks:1. An event, E, is characterized by its time of
occurrence, t2. When events imply traveling to other locations,
people usually: a. approximate the travel time which results in under-
or overestimationb. use other devices to get there which may imply
further difficulties (e.g., cost, privacy issues, etc.)
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Motivation
There are several opportunities:1. Almost everybody uses a type of alarm clock2. Provide a smarter alternative to using multiple
devices3. When scheduling an alarm for an event, the
temporal aspect should be accompanied by the spatial one
4. New alternatives to classical step-by-step navigation
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Methodology
User Interaction: ● Get user input (arrival time, destination) ● Communicate useful information to the user
Network Analysis: ● The network subset that can be reached by the
user in a given time frame
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Methodology
Navigation: ● Aid the user in reaching an unknown destination● Aid the user in exploring her options
Map-matching variation:● What is the current location inside the network
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Methodology
Architecture and integration: ● Provide the needed functionality while integrating it
in the OpenScienceMap context ● Make the implementation available to the (scientific)
community by open-sourcing it● Provide the needed functionality in a context and
implementation agnostic environment
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Time schedule
Estimated time for most important operations: - familiarize with the OpenScienceMap environment (3 weeks) - literature review of relevant papers (3 weeks)- prototype implementation and tests (4 weeks) - fixing reported bugs (1 week)- writing the thesis (4 weeks)- thesis revisions (2 weeks)
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Acknowledgments
Institutions:1. KTH Royal Institute of Technology
○ Department of GeoinformaticsContact: Takeshi Shirabe <[email protected]>
2. Universität Bremen○ Cognitive Systems (CoSy)○ Open Science Map (OSciM)Contact: Falko Schmid <[email protected]>
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Q&AAdrian C. Prelipcean <[email protected]>