Sneesby et al. recently suggested that adding trays in the stripping and rectifying sections of a reacti®e distillation column can degrade performance. This effect, if true, is not only counterintuiti®e, but ®ery disturbing because it suggests that the design of reacti®e distillation columns cannot use conser®ati®e estimates of tray numbers, that is, we cannot simply add excess trays, as in con...

Knowledge distillation (KD) is a powerful and widely applicable technique for the compression of deep learning models. The main idea knowledge to transfer from large teacher model small student model, where attention mechanism has been intensively explored in regard its great flexibility managing different teacher-student architectures. However, existing attention-based methods usually similar ...

► The new HTGR + MED coupling scheme was proposed. ► KAIST coupling scheme uses PCHE without any intermediate loop. ► KAIST coupling scheme has independent structure between MED and heat sink. ► Water production capacity increases by 258% compared to previous researcher's results. ► Water cost is reduced by 9.0% compared to previous researcher's results. a b s t r a c t a r t i c l e i n f o Th...

In natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models production. As a popular method for model compression, knowledge distillation transfers from one or multiple large (teacher) to small (student) model. When teacher are available distillation, state-of-the-art methods assign fixed weight whol...

HYSYS process modeling software was used to analyze the effect of reflux ratio and number of trays on the purity of ethylene in a vapor recompression distillation column and also in an ordinary distillation column. Analysis of data showed that with increased pressure a higher reflux ratio is needed to obtain a purity of 99.9% for both towers. In addition number of trays was varied to see its ef...