In-situ processing has been proposed as a novel data exploration solution in many domains generating massive amounts of raw data, e.g., astronomy, since it provides immediate SQL querying over raw files. The performance of in-situ processing across a query workload is, however, limited by the speed of full scan, tokenizing, and parsing of the entire data. Online aggregation (OLA) has been intro...

Abstract In this work, a developed modified one sampling ahead preview (OSAP) controller with repetitive control action for single – phase voltage source PWM inverters used in (UPS) systems is proposed. The proposed technique minimizes largely the plant modeling errors resulted from simplification made to obtain a linear discrete time plant model. In addition, due to the repetitive control acti...

This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the acceptance of the lot is based on the states of the preceding lots (dependent state plan) or on the states of the forthcoming lots (deferred state plan). The lot acceptance probability is derived and the two-point appro...

This paper considers high sampling rate digital control of an electromagnetically levitated shaft. Inner loop feedback and outer loop repetitive controls are realized by a Field Programmable Gate Array (FPGA) at 100 kHz rate based on considerations made on limited FPGA computing resources, numerical dynamic range, selection of word length for fixed point computation, and distribution of paralle...

Optimizing executions of queries is the ultimate goal of the query optimizer. Unfortunately, due to the complexities of queries, accuracy of statistics, validities of assumptions, etc., query optimizers often cannot find the best execution plans in their search spaces, conveniently called the optimal plans, for the queries. In this paper, we develop a comprehensive framework for re-optimization...

This paper describes a technique that speeds up both the modelling and the sampling processes for a ramified object. By introducing the notion of substructure, we divide the ramified object into a set of ordered substructures, among which only a part of basic substructures is selected for implicit modelling and point sampling. Other substructures or even the whole object can then be directly in...