Enhancing Sustainable Community Developments A Multi-criteria Evaluation Model for Energy Efficient Project Selection

AbstractMan consumes energy and community, the basic unit of urban development, is also an integrated energy -consuming unit. Sustainable community construction is a development model for local redevelopment which integrates culture and local features. Hence, incorporating a low-carbon concept into a sustainable community construction model will help reduce a community's carbon footprint. Community energy-saving polices can be effectively promoted by guidance, evaluation, feature development and sustainable management as well as heritage programs. This study applies Delphi method, analytic hierarchy process (AHP), and fuzzy logic in building a quantitative evaluation model for sustainable community construction low-carbon development effectiveness, to compare community low-carbon and energy saving development levels by calculating quantitative values as the basis for merits. In addition to testing the effectiveness of self-development of features, this study can also provide the government with a reference and criteria to evaluate the performance of low-carbon community construction projects

Tetra­pyridine­bis(trichloro­acetato)nickel(II)

The title compound, [Ni(C2Cl3O2)2(C5H5N)4], was prepared by the reaction of pyridine and trichloro­acetatonickel(II) in ethanol solution at room temperature. The NiII atom is located on a twofold rotation axis and has a slightly distorted octa­hedral coordination made up of four N atoms of the pyridine ligands and two O atoms of trichloro­acetate anions. The mol­ecular structure and packing are stabilized by intra- and inter­molecular C—H⋯O hydrogen-bonding inter­actions

Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval

Content-based image retrieval (CBIR) has been an active research theme in the computer vision community for over two decades. While the field is relatively mature, significant research is still required in this area to develop solutions for practical applications. One reason that practical solutions have not yet been realized could be due to a limited understanding of the cognitive aspects of the human vision system. Inspired by three cognitive properties of human vision, namely, hierarchical structuring, color perception and embedded compressive sensing, a new CBIR approach is proposed. In the proposed approach, the Hue, Saturation and Value (HSV) color model and the Similar Gray Level Co-occurrence Matrix (SGLCM) texture descriptors are used to generate elementary features. These features then form a hierarchical representation of the data to which a two-dimensional compressive sensing (2D CS) feature mining algorithm is applied. Finally, a weighted feature matching method is used to perform image retrieval. We present a comprehensive set of results of applying our proposed Hierarchical Visual Perception Enabled 2D CS approach using publicly available datasets and demonstrate the efficacy of our techniques when compared with other recently published, state-of-the-art approaches

6-Chloro-8-methyl-4H-3,1-benzoxazine-2,4(1H)-dione

The two mol­ecules in the asymmetric unit of the title compound, C9H6ClNO3, are nearly planar, with r.m.s. deviations of 0.034 and 0.037 Å. The crystal structure is stabilized by two weak inter­molecular N—H⋯O inter­actions

Fast SPH simulation for gaseous fluids

This paper presents a fast smoothed particle hydro-dynamics (SPH) simulation approach for gaseous fluids. Unlike previous SPH gas simulators, which solve the transparent air flow in a fixed simulation domain, the proposed approach directly solves the visible gas without involving the transparent air. By compensating the density and force calculation for the visible gas particles, we completely avoid the need of computational cost on ambient air particles in previous approaches. This allows the computational resources to be exclusively focused on the visible gas, leading to significant performance improvement of SPH gas simulation. The proposed approach is at least ten times faster than the standard SPH gas simulation strategy and is able to reduce the total particle number by 25–400 times in large open scenes. The proposed approach also enables fast SPH simulation of complex scenes involving liquid–gas transition, such as boiling and evaporation. A particle splitting and merging scheme is proposed to handle the degraded resolution in liquid–gas phase transition. Various examples are provided to demonstrate the effectiveness and efficiency of the proposed approach

Experimental Test of Tracking the King Problem

In quantum theory, the retrodiction problem is not as clear as its classical counterpart because of the uncertainty principle of quantum mechanics. In classical physics, the measurement outcomes of the present state can be used directly for predicting the future events and inferring the past events which is known as retrodiction. However, as a probabilistic theory, quantum-mechanical retrodiction is a nontrivial problem that has been investigated for a long time, of which the Mean King Problem is one of the most extensively studied issues. Here, we present the first experimental test of a variant of the Mean King Problem, which has a more stringent regulation and is termed "Tracking the King". We demonstrate that Alice, by harnessing the shared entanglement and controlled-not gate, can successfully retrodict the choice of King's measurement without knowing any measurement outcome. Our results also provide a counterintuitive quantum communication to deliver information hidden in the choice of measurement.Comment: 16 pages, 5 figures, 2 table