This paper proposes a novel particle filtering framework for multi-target tracking by using online learned class-specific and instancespecific cues, called Data-Driven Particle Filtering (DDPF). The learned cues include an online learned geometrical model for excluding detection outliers that violate geometrical constraints, global pose estimators shared by all targets for particle refinement, ...

The Locus model of search is a non-back t rack ing , determinist ic search technique in which a beam of near-miss a l ternat ives around the best path are extended in paral le l for g raph searching problems. In this paper we formulate image i n te rp re ta t i on as a g iaph searching problem and show bow the Locus model provides a near-opt imal minimal e f fo r t so lut ion. The s t ruc ture ...

this paper develops a single-vendor single-retailer supply chain for multi-product. the proposed model is based on vendor managed inventory (vmi) approach and vendor uses the retailer's data for better decision making. number of orders and available capital are the constraints of the model. in this system, shortages are backordered; therefore, the vendor’s warehouse capacity is another limitati...

This paper proposes a new PI/PID controller tuning method within filtered Smith predictor (FSP) configuration in order to deal with various types of time delay processes including stable, unstable and integrating delay dominant and slow dynamic processes. The proposed PI/PID controller is designed based on the IMC principle and is tuned using a new constraint and without requiring any approxima...

This paper presents using the fractional PImDn controller module which manipulates insulin infusion rate to maintain normoglycemia in subjects with type 1 diabetes. To prevent severe hypoglycemia, a conventional proportional controller is used to regulate glucagon infusion rate when the blood glucose levels fall below a threshold. Two sets of controller parameters are obtained and evaluated. Fo...