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 ...

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...

We present a novel approach for enhancing images and video used in endoscopic surgery so that they are better able to convey shape. Our method is based on multi-flash imaging, in which multiple light sources are strategically positioned to cast shadows along depth discontinuities. We describe designs for achieving multi-flash imaging using multiple endoscopes as well as in single endoscopes. Mu...

This paper decribes a study of the heat, mass and momentum transp associated with vapor release in a horizontal stage of a flash evaporat A scaled-down, well-controlled flash evaporator, which also allows gc visual observation, has been designed, constructed and used in the expl ments. In particular, temperature profiles in the stage have been measured an accuracy of ±O.02°C and better. It has ...

1,3-Butadiene, BD is produced from C4-cut by extractive distillation. The separation of 1,3-Butadiene from C4-cut is not possible through the conventional distillation processes, because several mixtures have consisted of close boiling points constituents and make azeotrope. The BASF extraction distillation process in BD unit of Jam and Amirkabir Petrochemical Company improves the relative vola...

−− In this paper, a new strategy involving an evolutionary algorithmic procedure for the optimization of Multiple Stage Flash (MSF-M) Systems is presented. A “detailed model” of an MSF-M System is developed according to rigorous material, momentum and energy balances for each stage. The model of the MSF-M System is represented as a complex NLP, which incorporates a high number of nonlinear cons...

Many arid alluvial-fan terraces downwind from eolian sand sources exhibit an abrupt increase in Av-horizon thickness and sand content below a critical elevation which varies from fan to fan. Above this elevation, sand accumulates locally and is not transported across the fan. Below this elevation both coarse and fine eolian sand from nearby playa and channel sources is readily transported acros...

Environmental policies employ metaphoric objectives such as ecosystem health, resilience and sustainable provision of ecosystem services, which influence corresponding sustainability assessments by means of normative settings such as assumptions on system description, indicator selection, aggregation of information and target setting. A heuristic approach is developed for sustainability assessm...

Multistage Flash desalination is the most common process large-scale distillation process to produce freshwater from seawater. Its operation is energy intensive and essential for the maintenance of life support in regions with scarcity of water resources. Such plants need an efficient control system in order to be economically viable. Fortunately, the plant can be broken down into subsystems, w...