Generating Building’s Operating Energy Automatically by Energy Plus and C#

Abstract—The use phase of buildings always contributes to the largest share of life cycle energy consumption and life cycle environmental impacts. This paper selects different wall materials, provides a possible method to calculate operating energy consumption of alternative wall assemblies automatically, and suggests the influences that different layers have on operating energy. The results show that the operating energy consumption varies according to the insulating layer while the thickness of air gap has a negligible impact on the operating energy. And it can be seen that the material and thickness of insulation has a great influence in the building’s operating energy and there should be more research focusing on the method to generate life cycle energy in order to optimize the buildings performance in the architectural design

Study of the application of wb600-kert in unhairing process

Content: Unhairing process is usually considered as the most polluted process in leather production. The conventional method of unhairing which using lime and sodium sulfide produces a large amount of sludge and waste water. In order to reduce pollution, we developed a novel unhairing enzyme and named as WB600-KerT, which possesses low collagen-degrading ability and high keratin-degrading ability in previous study. The objective of this study is to study the properties and effect of WB600-Kert to replace traditional chemicals in unhairing process. It found that the protease of WB600-Kert exhibited optimum keratin activity at 40°C. Compared with commercial unhairing enzyme and conventionally sodium sulfide methods, WB600 exhibited better unhairing effect and higher efficiency. The results indicated that goat skin unhaired with WB600 achieve enough softness, shrinkage temperature and tear strength as well as conventionally sodium sulfide methods Furthermore, if adding a small amount of sodium sulfide, the unhairing process could be accelerated while the unhairing effect was further improved. Generally speaking, this enzyme showed good application potential in unhairing process and was effective for reducing pollution which may promote the development of leather industry. Take-Away: 1. The protease of WB600-KerT was firstly applied to hair removal. 2. The addition of little sodium sulfide in WB600-KerT could enhance unhairing efficiency

Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?

According to the Stimulus Organism Response (SOR) theory, all human behavioral reactions are stimulated by context, where people will process the received stimulus and produce an appropriate reaction. This implies that in a specific context for a given input stimulus, a person can react differently according to their internal state and other contextual factors. Analogously, in dyadic interactions, humans communicate using verbal and nonverbal cues, where a broad spectrum of listeners' non-verbal reactions might be appropriate for responding to a specific speaker behaviour. There already exists a body of work that investigated the problem of automatically generating an appropriate reaction for a given input. However, none attempted to automatically generate multiple appropriate reactions in the context of dyadic interactions and evaluate the appropriateness of those reactions using objective measures. This paper starts by defining the facial Multiple Appropriate Reaction Generation (fMARG) task for the first time in the literature and proposes a new set of objective evaluation metrics to evaluate the appropriateness of the generated reactions. The paper subsequently introduces a framework to predict, generate, and evaluate multiple appropriate facial reactions

Human from Blur: Human Pose Tracking from Blurry Images

We propose a method to estimate 3D human poses from substantially blurred images. The key idea is to tackle the inverse problem of image deblurring by modeling the forward problem with a 3D human model, a texture map, and a sequence of poses to describe human motion. The blurring process is then modeled by a temporal image aggregation step. Using a differentiable renderer, we can solve the inverse problem by backpropagating the pixel-wise reprojection error to recover the best human motion representation that explains a single or multiple input images. Since the image reconstruction loss alone is insufficient, we present additional regularization terms. To the best of our knowledge, we present the first method to tackle this problem. Our method consistently outperforms other methods on significantly blurry inputs since they lack one or multiple key functionalities that our method unifies, i.e. image deblurring with sub-frame accuracy and explicit 3D modeling of non-rigid human motion.Comment: typos and minor error fixe