Parking space monitoring algorithm serves to constantly and correctly update parking information which is vulnerable to the influences of shadows of surrounding objects and weather conditions through image processing....
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Parking space monitoring algorithm serves to constantly and correctly update parking information which is vulnerable to the influences of shadows of surrounding objects and weather conditions through image processing. By analyzing and comparing various parking space detection algorithms, this paper selects the most suitable algorithm to achieve parking space detection in Nios II soft core embedded in FPGA. The algorithm can accurately and quickly reflect the change of state of parking spaces and can ensure real-time processing. After detection of parking spaces, real time status of parking spaces and parking guidance information will be displayed via VGA.
Reverse nearest neighbor (RNN) monitoring queries are useful in many object tracking scenarios using wireless sensor networks. However, there is still no research work addressing RNN monitoring queries in this environ...
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Reverse nearest neighbor (RNN) monitoring queries are useful in many object tracking scenarios using wireless sensor networks. However, there is still no research work addressing RNN monitoring queries in this environment. In addition, even though some algorithms have been proposed to process RNN monitoring queries in other environments, they are not quite appropriate for wireless sensor networks. The reason is that these algorithms all adopt centralized processing which requires all object locations sent to a central server to be processed further, thus exhausts quickly the sensor nodes limited power. Therefore, in this paper, we study the problem of processing RNN monitoring queries in wireless sensor networks. We consider both two cases of RNN monitoring queries, namely monochromatic and bichromatic, and develop for each case a localized and incremental monitoring algorithm. Our main ideas are to localize the searching task to only relevant sensor nodes near the query point and to establish and incrementally maintain some restricted monitoring areas for each query. During the major part of the query lifetime, only object location updates from these areas instead of the whole space need to be collected and processed. Extensive experimental results show that the proposed algorithms are scalable and an order of magnitude more efficient than the centralized ones in terms of energy consumption.
Sudden process changes occurring dining automobile body assembly processes will influence the downstream assembly process and the functionality and final appearance of the vehicle. Furthermore, these faults could resu...
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Sudden process changes occurring dining automobile body assembly processes will influence the downstream assembly process and the functionality and final appearance of the vehicle. Furthermore, these faults could result in a decreased production rate and an increase in the cost if sudden process changes are so serious that the production line has to be stopped for investigation. Thus, sudden process changes should be detected and eliminated as soon as possible to prevent defective products from being produced and to reduce the cost of repairs/reworks. A monitoring algorithm is developed to detect, classify, and group process changes by analyzing the dimensional data of car bodies. The results of this monitoring algorithm can help diagnose the root causes of variation according to the locations of measurement points, body structure, assembly sequence, and tooling layout. Measurement data obtained from an optical coordinate measuring machine (OCMM) are used to demonstrate the monitoring technique.
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