Modern multi-object tracking (MOT) systems usually build trajectories through associating per-frame detections. However, facing the challenges of camera motion, fast and occlusion, it is difficult to ensure quality long-range or even tracklet purity, especially for small objects. Most frameworks depend heavily on performance re-identification (ReID) data association. Unfortunately, ReID-based a...

the synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. to provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

Structural  design  optimization  usually  deals  with  multiple  conflicting  objectives  to  obtain the minimum construction cost, minimum weight, and maximum safety of the final design. Therefore, finding the optimum design is hard and time-consuming for  such problems.  In this paper, we borrow the basic concept of multi-criterion decision-making and combine it with  Particle  Swarm  Optimi...

In this project, we would like to develop multi-object pose and model estimation which uses the 3D voxelized model and foreground background segmentation to detect 3D pose and model variation. In the relevant literature, [4], the authors used gradient descent to minimize the optimization energy function which is the integration over image multiplied by the smoothed step function of SDF of 3D mo...