2 publications
-
Published Subscription
Comparative Study of Searching Algorithms for Databases and Present New Idea For Better SearchingBy Saeid Zoghi, Morteza Zahedi
Abstract: Meta-heuristics encompass a very wide range of algorithms, all having very different underlying principles. But all these algorithms are stochastic in nature. Big data is an emerging field. Big data has some of its own problem, some of them being the optimization problems. This paper gives a brief glimpse of Meta-heuristics and its algorithm, big data and its corresponding fields. In the last section we also explain how these algorithms …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 2, 2016 · pp. 1–15 Read article →
-
Published Subscription
Performance Comparison of the two-stage Kalman Filtering Techniques for Density PredictionBy Saeid Zoghi
Abstract: The advanced optimal partitioned state Kalman estimator (OPSKE) developed to overwhelm these problems of traditional approaches. In this article, we compare performance of the OPSKE with the OTSKE and the AUSKE in the maneuvering target tracking (MTT) badly behaved. We provide some analytic results to demonstrate the computational advantages of the OPSKE. Author of this paper compare these two algorithms with target tracking problem, because in that problem they dealing …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 1, 2016 · pp. 8–16 Read article →