Applications in location-based services rely on the efficient management of large scale moving objects, and one of the most important operations is real-time continuous query over moving objects, such as monitoring the objects of a certain region. In order to satisfy the high throughput and handle real-time updates and queries, it is a good choice to introduce multi-core parallel processing and managing spatial indices in main memory. In this paper, we propose a new scheme of processing continuous query on a novel spatial index based on uniform grid which is proved to be a good indexing scheme in main memory. The novelty of our index is to manage query region as the partition in the spatial index, which unified the index updating and query processing. Our experiments indicate that this sophisticated approach has better performance especially when the query is rather stationary.
Located in the South Part of Turkey, near to İSKENDERUN sea port, the new minimill complex of TOSYALI HOLDING, named TOSCELIK, is designed to produce 1,40 million ton/year of square billets and hot rolled coils. Design, manufacture, erection and commissioning of steelmaking and billet caster is performed by a Turkish engineering/manufacturing company, CVS. Produced billets are rolled in TOSÇELIK’s existing section mill with daily production of approximatelly 1.500 ton/day. Slab caster and hot Rolling for remaining liquid steel is designed by Chinese company. Following paper will explain the features of meltshop units designed and manufactured by CVS MAKINA.
