KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Subject: search.filters.subject.VLC

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Routing algorithm in warehouse with congestion consideration using an ACO with VLC support
    (2017-10-19)
    Srivilas, Krit
    ;
    Cherntanomwong, Panarat
    For warehouse management, order picking is one of the most important factors since it is the most time consuming operation contributing to the overall warehouse operational cost. Moreover, if the picking congestion occurs when there are multiple order pickers, the consumed picking time will increase. Therefore, this paper presents the new routing algorithm to reduce the picking time for multiple pickers. The proposed routing algorithm is based on an Ant Colony Optimization (ACO) combined with the indoor positioning supported by the Visible Light Communication (VLC) system. To validate the proposed algorithm, the experiment is done in the multiple-block picker-To-part warehouse of the construction material supplier. The experimental results show that the proposed routing algorithm is able to reduce the travelling time leading to reduce the order picking time.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Identity checking system by light blinking id-beacon using image sensor
    (2016-01-01)
    Purahong, Boonchana
    In this paper, a new method for the ID checking system was proposed by using the Visible Light Communication (VLC). The proposed method uses an image sensor of webcam camera and smartphone that can use fulfill some limitations of QRCode and RFID technology. In the experiment, ID the system can identify identity codes transmitted in 1-50 meters in daytime and night to find the processing time for the first time to detect LED Blinking. As the result, the performance of ID checking can use webcam camera to identify objects the maximum distance in daytime and night but smartphone can identify in short distance at night. Comparing a performance for application in various systems between webcam camera and smartphone image sensor.