BUKU ABSTRAK - Universiti Putra Malaysia

Portable Daylight Reflector Device
Mr. Ruhaizin Sulaiman
Hassan Alli, Nik Aizan Nik Abdullah, Mohammad Aiman Ahmad Fozi, Saiful Hasley Ramli, Mohd. Faiz
Yahaya and Sazrinee Zainal Abidin
Faculty of Design and Architecture, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8946 4034; ruhaizin@putra.upm.edu.my
Keywords: Portable daylight reflector device, industrial design
A New Path Estimation Strategy for Predicting Blind Persons’ Motion in Indoor
Environments
Assoc. Prof. Dr. Tang Sai Hong
Omid Motlagh, Napsiah Ismail, Abdul Rahman Ramli and Ang Chun Kit
Faculty of Engineering, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8946 6332; saihong@eng.upm.edu.my
Keywords: Fuzzy cognitive map, path prediction
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Science, Technology & Engineering
As part of the interior needs, enhancing a room with potted plants is beneficial. Healthier plants depend on
how we could take care of the plant well indoor, perhaps with water treatment and the source of lights that are
required by the plants. A portable daylight reflector was designed for reflecting natural lights, redirecting them to
the internal space and diffusing them to a level required for indoor plants and space at the same time. As a result,
the design balances inadequate ambient daylight for room task and to help the plants grow more naturally.
Research on characteristics of spatial cognition without vision is used to improve the design of indoor
environments to be safer for blind and visually handicapped persons. A fuzzy cognitive map (FCM) decision
mechanism is presented for modelling path planning strategies adopted by blind travelers including wall-following,
and shortcutting through the environment. A statistical case based reasoning (CBR) strategy is introduced for
anticipating the points of switch between the two mentioned behaviours along the path. The combination of CBR
and FCM modules provided a robust model of decision making which can be used for predicting blind motions.
In this research, 51 eye-masked subjects contributed for obtaining the path patterns and for validating the results
obtained using the proposed path prediction approach.