*Correspondence: [email protected] School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China Abstract In signal processing theory, l0-minimization is an important mathematical model. Unfortunately, l0-minimization is actually NP-hard. The most widely studied approach to this NP-hard problem is based on solving lp-minimization (0 < p≤ 1). In this paper, we pr...

We present a 16 channel front end prototype implemented in 90nm CMOS IBM process and optimized for 5pF input capacitance. The primary motivation for this project is to study the usefulness of the CMOS technologies below 130nm for front end amplifiers optimized for short strip silicon detectors in Super Large Hadron Collider (SLHC) experiments [1]. In the presented design we show critical aspect...

The low economy of fuel cell hybrid electric vehicles is a big challenge to their wide usage. In this article, road, health, and price-conscious optimal cost minimization strategy based on decision-making framework was developed decrease overall cost. First, an online applicable minimize the operating costs vehicles, including hydrogen degradation battery. Second, composed driving pattern recog...

This study addresses the pickup and delivery problem for cross-docking strategy, in which shipments are allowed to be transferred from suppliers to retailers directly as well as through cross-docks. Usual models that investigate vehicle routing in cross-docking networks force all vehicles to stop at the cross-dock even if a shipment is about to a full truckload or the vehicle collects and deliv...

In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. measurement-based simulation model was implemented MATLAB/Simulink environment used to establish optimization. optimization performed maximize recuperated en...

We describe an algorithm for solving MDPs with large state and action spaces, represented as factored MDPs with factored action spaces. Classical algorithms for solving MDPs are not effective since they require enumerating all the states and actions. As such, model minimization techniques have been proposed, and specifically, we extend the previous work on model minimization algorithm for MDPs ...

Background Migrants have been hypothesised to use different migration strategies between seasons: a time-minimization strategy during their pre-breeding migration towards the breeding grounds and an energy-minimization strategy during their post-breeding migration towards the wintering grounds. Besides season, we propose body size as a key factor in shaping migratory behaviour. Specifically, gi...