416 research outputs found
ANALYSIS ON THE CHARACTERISTICS OF ARTISTIC PATTERN GENERATION UNDER THE BACKGROUND OF COGNITIVE IMPAIRMENT
ANALYSIS ON THE CHARACTERISTICS OF ARTISTIC PATTERN GENERATION UNDER THE BACKGROUND OF COGNITIVE IMPAIRMENT
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Identifying the beginnings of Sheep Husbandry in Westen China
Situated at the two sides of Eurasia, Western Asia and China are both important centres for the origins of agriculture and civilization. Key suites of domestic crops, animals, and technologies were independently developed at these two centres. Scholars have been interested in seeing whether there was communication between these ‘nuclear centres’ in prehistory, and how they were influenced by each other. The domestication of sheep and goat, which first occurred about 10,000 years before present (BP) in the region of modern-day Syria, Turkey, and Iran, has long been assumed as introduced from the West to China, behind which there were population movements and cultural exchanges.
However, this hypothesis has not yet been systematically examined. This is because in Western China there is such a complex distribution of wild Caprinae and Gazella species, which all have similar skeletal morphology to domestic sheep (Ovis aries) and goats (Capra hircus), and are difficult to separate from each other based on fragmentary and eroded archaeological remains. This project carries out a systematic osteoscopic and osteometric study of the Caprinae and Gazella in Western China and different Ovis species in Eurasia by examining a large quantity of the modern specimens. Systematic differences in correlating elements between these species were found to be related to the ecology of the animals. These criteria were applied to the archaeological specimens from five sites in Western China from Epipaleolithic era (c. 10,000 BP) to the Bronze Age (c. 3500 BP). Together with other methods, a process of transition from the local wild Caprinae hunting to the adoption of sheep husbandry was discovered. There might be complex interactions between the different animals and humans in the unique ecological and social contexts.Cambridge Overseas Trust, Chinese Scholarship Council, Wenner-Gren Foundation, Great Britain-China Educational Trust Fund, Dorothy Garrod Fund, Anthony Wilkin Fund
Creative Housing Design: Promoting sustainable living in cohousing community in the UK
A cohousing community is created and managed by its residents. It is a new collaborative housing concept designed to foster meaningful relationships, closer social bonding and energy efficiency concepts. This paper aims to discuss the key principles, priorities and challenges of cohousing design process through interviews with four cohousing project architects and four members of the design group. Semi-structured interviews were carried out i) to understand residents’ thinking and behaviour change through living in the cohousing community, and ii) to establish the environmental and social sustainability in a cohousing setting. The study found that the development procedure of cohousing highly differs from the mainstream housing design. The quality of the design can potentially influence the residents’ daily life. The findings will benefit a range of groups. It will be an important reference for cohousing design standards. Also, it could potentially become the legitimate toolkit for cohousing groups.eISSN: 2398-4287 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v3i8.135
Ocenění společnosti působící v oblasti online prodeje
The aim of this thesis is to analyze the financial statements of a selected company from 2014 to 2019. A two-stage DCF approach and a Monte Carlo model are then used to investigate and construct a probability distribution for the valuation of the selected company.The aim of this thesis is to analyze the financial statements of a selected company from 2014 to 2019. A two-stage DCF approach and a Monte Carlo model are then used to investigate and construct a probability distribution for the valuation of the selected company.154 - Katedra financívýborn
Building Extraction from LiDAR Point Clouds Based on Revised RandLA-Net
3D building models is crucial for applications in smart cities. Automatic reconstruction of 3D buildings has been investigated based on various data sources. Point clouds from airborne LiDAR scanners can be used to extract buildings data due to its high accuracy and point density. In this paper, we present a methodology to segment buildings and corresponding rooftop structure from point clouds. First, RandLA-Net, which is an efficient and lightweight neural network for semantic segmentation of large-scale point clouds, is revised and adopted for building segmentation. By implementing local feature aggregation of each point, RandLA-Net can effectively preserve geometric details in point clouds. Besides 3D coordinates of point clouds, we incorporated point attributes including pulse intensity and return numbers into the network as additional features. Feature normalizations are applied to the input features. To achieve a better result of the local feature aggregation, hyperparameters of the network are fine-tuned according to the density of points and building size. Based on the classified building point clouds, DBSCAN clustering algorithm is implemented for segmenting individual buildings. Elevation histogram analysis is conducted to determine optimal threshold values for delineating candidate rooftop point clouds of individual buildings. For the buildings with multiple rooftops, multiple elevation threshold values are necessary to extract corresponding rooftops or walls. Then DBSCAN is employed again for segmentation of individual rooftops and denoising of point clouds of each building. Finally, Alpha-shape analysis is applied based on adaptive threshold values to build the envelope of each rooftop. Experiments show that our implementation of building segmentation using RandLA-net achieves higher mean IoU (Intersection over Union) and better classification performance in building segmentation. ISPRS benchmark data was used in our experiment and our methodology produce results with accuracy of 90.79%
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