Abstract Cell tracking is currently a powerful tool in variety of biomedical research topics. Most cell algorithms follow the by detection paradigm. Detection critical for subsequent tracking. Unfortunately, very accurate not easy due to many factors like densely populated, low contrast, and possible impurities included. Keeping multiple cells across frames suffers difficulties, as may have sim...

For automatic guided vehicles (AGVs), maximizing the operating time with maximum energy efficiency is most important factor that increases work efficiency. In this study, fuel-cell-powered AGV (FCAGV) system was modeled and optimized control design were carried out to obtain high tracking performance minimum power consumption. Firstly, a full mathematical model of FCAGV, which involves AGV, fue...

using photovoltaic systems is gradually expanded by increasing energy demand. abundance and availability of this energy, has turned to one of the most important sources of renewable energy. unfortunately, photovoltaic systems have two big problems: first, those have very low energy conversion efficiency (in act between 12 and 42 percent under certain circumstances). second, the power produced b...

Abstract. Lagrangian analysis of convective precipitation involves identifying cells (“objects”) and tracking them through space time. The approach helps to gain insight into the physical properties impacts and, in particular, how these may respond climate change. requires both a fixed definition what constitutes object reliable algorithm. Whether climate-change signals various are sensitive ch...