Dalian University of Technology

About: Dalian University of Technology is a education organization based out in Dalian, China. It is known for research contribution in the topics: Catalysis & Finite element method. The organization has 60890 authors who have published 71921 publications receiving 1188356 citations. The organization is also known as: Dàlián Lǐgōng Dàxué.

Industrial Symbiosis in China: A Case Study of the Guitang Group

Abstract: Summary The realization of regional synergies in industrial areas with intensive minerals processing provides a significant avenue toward sustainable resource processing. This article provides an overview of past and current synergy developments in two of Australia’s major heavy industrial regions, Kwinana (Western Australia) and Gladstone (Queensland), and includes a comparative review and assessment of the drivers, barriers, and trigger events for regional synergies initiatives in both areas. Kwinana and Gladstone compare favorably with well-known international examples in terms of the current level and maturity of industry involvement and collaboration and the commitment to further explore regional resource synergies. Kwinana stands out with regard to the number, diversity, complexity, and maturity of existing synergies. Gladstone is remarkable with regard to unusually large geographic boundaries and high dominance of one industry sector. Many diverse regional synergy opportunities still appear to exist in both industrial regions (particularly in Kwinana), mostly in three broad areas: water, energy, and inorganic by-product reuse. To enhance the further development of new regional synergies, the Centre for Sustainable Resource Processing (CSRP), a joint initiative of Australian minerals processing companies, research providers, and government agencies, has undertaken several collaborative projects. These include research to facilitate the process of identifying and evaluating potential synergy opportunities and assistance for the industries with feasibility studies and implementation of selected synergy projects in both regions. The article also reports on the progress to date from this CSRP research.

$L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond

Abstract: We propose a simple yet effective $L_0$ -regularized prior based on intensity and gradient for text image deblurring. The proposed image prior is based on distinctive properties of text images, with which we develop an efficient optimization algorithm to generate reliable intermediate results for kernel estimation. The proposed algorithm does not require any heuristic edge selection methods, which are critical to the state-of-the-art edge-based deblurring methods. We discuss the relationship with other edge-based deblurring methods and present how to select salient edges more principally. For the final latent image restoration step, we present an effective method to remove artifacts for better deblurred results. We show the proposed algorithm can be extended to deblur natural images with complex scenes and low illumination, as well as non-uniform deblurring. Experimental results demonstrate that the proposed algorithm performs favorably against the state-of-the-art image deblurring methods.

A Survey on Deep Learning for Multimodal Data Fusion

Abstract: With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to ...

Silicene on Substrates: A Way To Preserve or Tune Its Electronic Properties

Abstract: Silicene, a two-dimensional hexagonal lattice of silicon, has been synthesized recently and exhibits fascinating electronic properties that resemble graphene. The substrate effect on the electronic properties of silicene is important for the practical applications of silicene. First-principles calculations were performed for silicene on two kinds of representative inert substrates, that is, hexagonal boron nitride (h-BN) monolayer and SiC(0001) surface. The silicene–substrate interaction energies range in 0.067–0.089 eV per Si atom, belonging to typical van der Waals interaction. The characteristic Dirac cone is preserved for silicene on h-BN monolayer or hydrogenated Si-terminated SiC(0001) surface. On the other hand, the silicene becomes metallic when it is placed on a hydrogenated C-terminated SiC(0001) surface. This effect was explained by the work functions for silicene and the substrates. The present results provide some guidelines for selecting proper substrates for silicene in future microelectron...