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MRG-DBSCAN: An Improved DBSCAN Clustering Method Based on Map Reduce and Grid
Li Ma,Lei Gu,Bo Li,Shouyi Qiao,Jin Wang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2
DBSCAN is a density-based clustering algorithm. This algorithm clusters data of high density. The traditional DBSCAN clustering algorithm in finding the core object, will use this object as the center core, extends outwards continuously. At this point, the core objects growing, unprocessed objects are retained in memory, which will occupy a lot of memory and I/O overhead, algorithm efficiency is not high. In order to ensure the high efficiency of DBSCAN clustering algorithm, and reduce its memory footprint. In this paper, the original DBSCAN algorithm was improved, and the G-DBSCAN algorithm is proposed. G-DBSCAN algorithm reduces the number of query object as a starting point. Put the data into the grid, with the center point of the data in the grid to replace all the grid points as the algorithm input. The query object will be drastically reduced, thus improving the efficiency of the algorithm, reduces the memory footprint. In order to make the G-DBSCAN algorithm can adapt to large data processing, we will parallelize the G-DBSCAN algorithm, and combining it with Map Reduce framework. The results prove that G-DBSCAN and MRG-DBSCAN algorithm are feasible and effective.
Simulation and Optimization Study on Layout Planning of Plant Factory Based on WITNESS
Li Ma,Meiqiong Ma,Chao Ma,Jingwen Deng,Xingluo Liu,Lijun Zhao 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.5
The emergence of plant factory has solved great restriction problem of natural environment in the traditional agriculture. Therefore, it has been the research concentrate on the facility agriculture in recent years. However, the reasonability of factory's production process and layout determines quality of the product, production efficiency and economic benefits. This paper took Wuchang Jingtian Plant Factory as an example, analyzed the production process and layout and provided a corresponding improvement scheme which was verified by the WITNESS simulation software. An optimal solution was determined from the evaluation index of production efficiency, busy rate, production cycle etc.. Besides, the simulation analysis of production cost before and after the improvement verified the improved plant factory operation is effective and feasible. This improvement scheme not only improved efficiency of production system of the plant factory, but also reduced the operating cost.