from E2 to a specific substrate usually requires a ubiquiEukaryotic cell cycle research took a quantum leap fortin-ligase activity (E3). E3 activities are provided by diward approximately ten years ago when it was appreciverse and sometimes large and complex protein assemated that a conserved class of protein kinases propels blies. Substrate specificity is believed to be a major the cell throug...

Many studies have been conducted using obstacle hazard values, called potential method, for connected autonomous vehicle. However, most were static obstacles, and those dynamic obstacles assumed an environment without oncoming or crossing vehicles. In this study, we devise algorithm generating values considering time series characteristics information that can be obtained through inter-vehicle ...

ignificant benefits of wide swath synthetic aperture radar data for ocean weather observations have been demonstrated in principle. However, several obstacles must be overcome for this application to achieve its full potential as an operational system. Three themes emerge when considering these obstacles: data utility, data supply, and data policy. This article provides a summary of these issue...

MEMS pressure sensors have had broad applications in fields such as mining, medicine, automobiles, and manufacturing. Another application to be explored is in underwater vehicular navigation. Objects within a flow generate pressure variations that characterize the objects’ shape and size. Sensing these pressure variations allows the unique identification and location of obstacles for navigation...

To guarantee safe motion planning, the underlying path planning algorithm must consider uncertainties and uncertain state information related to static, dynamic obstacles. This paper proposes novel hybrid A* (HA*) algorithms that uncertainty in of a mobile robot, position static obstacles, velocity Variants HA* are proposed wherein soft constraint is used cost function instead chance constraint...

Unexpected obstacles pose significant challenges to mobile robot navigation. In this paper we investigate how, based on the assumption that unexpected obstacles really follow patterns that can be exploited, a mobile robot can learn the locations within an environment that are likely to contain obstacles, and so plan optimal paths by avoiding these locations in subsequent navigation tasks. We pr...