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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Yeh, Lun-WuHas files: Yes

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Now showing 1 - 4 of 4
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    Design and implementation of a self-guided indoor robot based on a two-tier localization architecture
    (2012-04-01)
    Yeh, Lun-Wu
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    Hsu, Ming-Hsiu
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    Huang, Hong-Ying
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    Tseng, Yu-Chee
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    資訊工程學系
    We consider building an indoor low-cost mobile robot that can be used in home applications. Due to the complicated nature of home environments, it is essential for such a robot to be self-guided in the sense that it is able to determine its current location as well as navigate to locations where it is commanded to. We propose a two-tier architecture to achieve this goal at centimeter-to-meter-level accuracy. The robot can even roam into an area which is new to it. We demonstrate a prototyping system based on an extended iRobot and the results have important implications on intelligent homes. (C) 2011 Elsevier B.V. All rights reserved.
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    Indoor Localization: Automatically Constructing Today's Radio Map by iRobot and RFIDs
    (2009)
    Yeh, Lun-Wu
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    Hsu, Ming-Shiou
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    Lee, Yueh-Feng
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    Tseng, Yu-Chee
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    資訊工程學系
    For outdoor localization, GPS already provides a satisfactory solution. For indoor localization, however, a globally usable solution is still missing. One promising direction that is proposed recently is the fingerprinting-based solution. It involves a training phase to collect the radio signal strength (RSS) patterns in fields where localization is needed into a database (called radio map). The radio signal could be from WiFi access points, GSM base stations, or other RF-based networks. Then, during the positioning phase, an object which is interested in its own location can collect its current RSS pattern and compare it against the radio map established in the training phase to identify its possible location. We present an interesting system based a robot and numerous cheap RFID tags deployed on the ground to automate the training process and, more importantly, to frequently update radio maps to reflect the current RSS patterns. This not only significantly reduces human labors but also improves positioning accuracy.
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    A WSN-Based Intelligent Light Control System Considering User Activities and Profiles
    (2008-09-01)
    Pan, Meng-Shiuan
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    Yeh, Lun-Wu
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    Chen, Yen-Ann
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    Lin, Yu-Hsuan
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    Tseng, Yu-Chee
    Recently, wireless sensor networks (WSNs) have been widely discussed in many applications. In this paper, we propose a WSN-based intelligent light control system for indoor environments. Wireless sensors are responsible for measuring current illuminations. Two kinds of lighting devices, namely, whole lighting and local lighting devices, are used to provide background and concentrated illuminations, respectively. Users may have various illumination requirements according to their activities and profiles. An illumination requirement is as the combination of background and concentrated illumination demands and users' locations. We consider two requirement models, namely, binary satisfaction and continuous satisfaction models, and propose two decision algorithms to determine the proper illuminations of devices and to achieve the desired optimization goals. Then, a closed-loop device control algorithm is applied to adjust the illumination levels of lighting devices. The prototyping results verify that our ideas are practical and feasible.
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    Autonomous Light Control by Wireless Sensor and Actuator Networks
    (2010-06-01)
    Yeh, Lun-Wu
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    Lu, Che-Yen
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    Kou, Chi-Wai
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    Tseng, Yu-Chee
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    Yi, Chih-Wei
    Recently, wireless sensor and actuator networks (WSANs) have been widely discussed in many applications. In this paper, we propose an autonomous light control system based on the feedback from light sensors carried by users. Our design focuses on meeting users' preferences and energy efficiency. Both whole and local lighting devices are considered. Users' preferences may depend on their activities and profiles and two requirement models are considered: binary satisfaction and continuous satisfaction models. For controlling whole lighting devices, two decision algorithms are proposed. For controlling local lighting devices, a surface-tracking scheme is proposed. Our solutions are autonomous because, as opposed to existing solutions, they can dynamically adapt to environment changes and do not need to track users' current locations. Simulations and prototyping results are presented to verify the effectiveness of our designs.