the objective of this study was to determine the optimum replacement strategy using dynamic programming for dairy herds in fars province. a dairy cow is kept several lactations for milk production in the herd. after spending several lactations, milk production gradually begins to decline, while animal health problems rises simultaneously. so one of the most important management decisions of dai...

Programming a smart home is an iterative process in which users configure and test the automation during in-situ experience with IoT space. However, current end-user programming mechanisms are primarily preset configurations on GUI fail to leverage behaviors context. This paper proposed (ISP) as novel paradigm for AIoT that extensively leverages users' natural interaction environment. We built ...

This paper presents an original algorithm for the computation of optical flow called Orthogonal Dynamic Programming (ODP) as well as several enhancements to it. The principle is to minimize a sum of square differences (SSD) between a pair of images. The originality of the approach is that an optimal matching is searched for entire image strips rather than for pixel neighborhoods. Dynamic progra...

MOTIVATION Missing data in genotyping single nucleotide polymorphism (SNP) spots are common. High-throughput genotyping methods usually have a high rate of missing data. For example, the published human chromosome 21 data by Patil et al. contains about 20% missing SNPs. Inferring missing SNPs using the haplotype block structure is promising but difficult because the haplotype block boundaries a...

−− Time optimal monomer and reactor temperature set-point profiles were computed and implemented experimentally for the control of copolymer composition and minimization of reaction time in emulsion copolymerization systems. Iterative Dynamic Programming (IDP) was used for the offline calculation of the optimal profiles. This approach can deal with constrained optimization of systems described ...

This study focuses on improving the productivity of a fed-batch ethanol fermentation process by developing and implementing in real time, an optimum feeding policy. A constraint-based stoichiometric model is developed using the systems biology approach, which can quantitatively predict the cellular behavior of the E coli strain, KO11. However, the predictions from this model are accurate under ...

We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework ooered by minimum description length (MDL). This framework dictates that multiscale segmentation comprises multiscale texture characterization and multiscale shape coding. An...