while the conventional dea based production plans aim to minimize all the inputs consumption and maximize all the outputs production, there are many real world production systems may also generate undesirable by-products. one methodological difficulty associated with the previous dea-based production planning models is how to incorporate undesirable factors in the planning models, while the sim...

data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) with multiple inputs and outputs. the traditional dea treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. this carries the notion of missing some intermediate measures in the process of changing the inputs to...

Controllability and kinematic modelling notions are investigated for a class of mechanical control systems. First, low-order controllability results are given for the class of mechanical control systems. Second, a precise connection is made between those mechanical systems which are dynamic (i.e., have forces as inputs) and those which are kinematic (i.e., have velocities as inputs). Interestin...

the objectives of this study was to estimation of greenhouse gases (ghg) emissions and global warming in rice production and identify measures to reducing fossil energy use and greenhouse gases emissions. three rice production systems included sri, improved and conventional were studied. all activities, field operation and data in production methods and differents inputs rates were monitored an...

The classical Kalman filter (KF) is an effective approach of state estimation for linear discrete-time systems, but classical KF is applicable only when external inputs are measured. So far, some studies of Kalman filter with unknown inputs (KF-UI) have been proposed. However, previous KF-UI approaches based solely on acceleration measurements are inherently unstable which leads to poor trackin...