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To deal with the difficulties of large time-varying delay, seriously nonlinear and strong disturbance in the hot-dip galvanizing line (HDGL) control, this paper proposes a novel ANN based modelling and prediction method for the coating weight, the proposed method is then applied to a real plant at Valin LY Steel Co., Loudi, China. The prediction model is built through data pre-processing, data clustering...
Design thinking is considered as a creative, humancentred, participative, exploratory and problem-solving process that values different perspectives of a problem. In this study, we bring the design thinking in a curriculum framework of K-12 game creation by App Inventor which is currently popular block based programming environments for fostering Computational Thinking. In a case study on a middle-school...
This paper develops an advanced method to classify load-pull contours for the design of a broadband high-efficiency power amplifiers (PA) using the technique of a support vector machine (SVM). The classifier models for load-pull contours are verified through their accuracy in test and design validation. Comparisons reveal that the proposed method significantly outperforms commercial electronic design...
Laser tracker as a three-dimensional measuring instrument has been widely used in industrial measurement. To further improve the measurement accuracy of the laser tracker, the multi-station and time-sharing measurement is adopted. This method is based on GPS principle, and only distance is involved in the measurement to avoid the impact of error caused by angle measurement on the overall measurement...
Provenance captured from E-Science experimentation is often large and complex, for instance, from agent-based simulations that have tens of thousands of heterogeneous components interacting over extended time periods. The subject of study of my dissertation is the use of E-Science provenance at scale. My initial research studied the visualization of large provenance graphs and proposed an abstract...
Privacy-preserving comparisons over encrypted database is a hot topic in the current academic research. Recently, Furukawa [7] introduced a new primitive called request-based comparable encryption (comparable encryption for short) to achieve this target. Howver, one disadvantage of comparable encryption is that huge of the token and cipher text are required in the scheme and thus the computation and...
Mining closed frequent item set(CFI) plays a fundamental role in many real-world data mining applications. However, memory requirement and computational cost have become the bottleneck of CFI mining algorithms, particularly when confronting with large scale datasets, which herewith makes mining closed frequent item set from large scale datasets a significant and challenging issue. To address the above...
Mining closed frequent itemset (CFI) plays an essential role in many real-world data mining applications. With the emergence of abundant large-scale data sets, it now turns to be a significant and challenging issue to mine CFI concurrently. This paper proposes a parallel balanced mining algorithm for CFI based on the MapReduce platform. The proposed algorithm adopts Greedy strategy to group items...
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