Needs for real-time interactive visualization of 3D Tiles for massive 3D content on the web-based virtual globe is rapidly increasing, and to achieve this goal, 3D Tiles needs to be correctly geo-referenced to other g...Needs for real-time interactive visualization of 3D Tiles for massive 3D content on the web-based virtual globe is rapidly increasing, and to achieve this goal, 3D Tiles needs to be correctly geo-referenced to other geospatial data on a web-based virtual globe. It is possible to generate 3D Tiles from different kinds of spatial data through various software tools. However, due to various factors the 3D Tile datasets are often poorly or not at all geo-referenced. To tackle this issue, we propose a new 3D WebGIS framework that facilitates dynamic geo-referencing 3D Tiles on the CesiumJS virtual globe.展开更多
Ceramic tiles are one of the most indispensable materials for interior decoration.The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures.In this...Ceramic tiles are one of the most indispensable materials for interior decoration.The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures.In this paper,we propose a sketch-based generation method for generating diverse ceramic tile images based on a hand-drawn sketches using Generative Adversarial Network(GAN).The generated tile images can be tailored to meet the specific needs of the user for the tile textures.The proposed method consists of four steps.Firstly,a dataset of ceramic tile images with diverse distributions is created and then pre-trained based on GAN.Secondly,for each ceramic tile image in the dataset,the corresponding sketch image is generated and then the mapping relationship between the images is trained based on a sketch extraction network using ResNet Block and jump connection to improve the quality of the generated sketches.Thirdly,the sketch style is redefined according to the characteristics of the ceramic tile images and then double cross-domain adversarial loss functions are employed to guide the ceramic tile generation network for fitting in the direction of the sketch style and to improve the training speed.Finally,we apply hidden space perturbation and interpolation for further enriching the output textures style and satisfying the concept of“one style with multiple faces”.We conduct the training process of the proposed generation network on 2583 ceramic tile images dataset.To measure the generative diversity and quality,we use Frechet Inception Distance(FID)and Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)metrics.The experimental results prove that the proposed model greatly enhances the generation results of the ceramic tile images,with FID of 32.47 and BRISQUE of 28.44.展开更多
Research conducted on ceramic materials has been investigating the incorporation of solid waste into their formulations,driven by the proper disposal of such waste and the reduction of negative environmental impacts.T...Research conducted on ceramic materials has been investigating the incorporation of solid waste into their formulations,driven by the proper disposal of such waste and the reduction of negative environmental impacts.This study analyzed the effects of adding aluminum powder residue to the physical properties of ceramic masses with the aim of obtaining new formulations for ceramic tiles.The aluminum residue and the standard mass for ceramic tile production were chemically characterized and homogenized to obtain new formulations with the incorporation of 4%,6%,8%,and 10%aluminum powder in the ceramic mass.The specimens were uniaxially pressed and sintered at a temperature of 1,200°C for 2 h,undergoing three different temperatures(100°C,400°C,and 650°C)for 30 min each.They were evaluated for WA(water absorption),RLq(linear shrinkage),SEM(scanning electron microscopy),and TRF(flexural strength)modulus.The results demonstrate that the addition of aluminum powder residue is feasible in the proposed formulations(4%,6%,8%,and 10%),as they enhance the mechanical properties of the ceramics compared to the formulation with 0%residue,at a sintering temperature of 1,200°C.展开更多
目的：回顾性分析 Tile C 型骨盆骨折患者死亡相关的危险因素。方法2010年1月至2014年12月我院收治的 Tile C 型骨盆骨折患者139例,收集资料包括术前一般情况、伤后就诊时间、休克指数、各类创伤评分、最低氧合指数、伤后6 h 乳酸清除率...目的：回顾性分析 Tile C 型骨盆骨折患者死亡相关的危险因素。方法2010年1月至2014年12月我院收治的 Tile C 型骨盆骨折患者139例,收集资料包括术前一般情况、伤后就诊时间、休克指数、各类创伤评分、最低氧合指数、伤后6 h 乳酸清除率等,采用多因素 Logistic 回归分析死亡相关危险因素。结果入院后死亡41例（29.5%）,其中入院后48 h 内死亡36例（25.9%）。多因素回归分析显示,休克指数＆gt;2（OR=2.591,95%CI 1.041~4.216）、损伤严重程度评分（ISS）≥25分（OR=47.96,95%CI 15.89~147.23）、改良创伤评分（RTS）≤8分（OR=6.917,95%CI 1.147-13.862）、格拉斯哥昏迷评分（GCS）〈9分（OR=4.172,95%CI 2.962~6.268）、最低氧合指数〈200（OR=117.016,95%CI 51.011~176.032）、伤后6 h 乳酸清除率〈10%（OR=2.785,95%CI 1.191~4.892）,以及合并头部损伤（OR=6.302,95%CI 2.270~13.175）或胸部损伤（OR=12.233,95%CI 5.193~33.985）是骨盆骨折患者死亡相关危险因素（P 〈0.01）。早期行血管栓塞治疗有助于降低死亡风险（OR=0.887,95%CI 0.875~0.899）。结论创伤评分高,出现严重休克、昏迷、氧合指数下降和6 h 乳酸清除率降低,合并头部和胸部损伤是导致 Tile C 型骨盆骨折患者死亡的危险因素。展开更多
文摘Needs for real-time interactive visualization of 3D Tiles for massive 3D content on the web-based virtual globe is rapidly increasing, and to achieve this goal, 3D Tiles needs to be correctly geo-referenced to other geospatial data on a web-based virtual globe. It is possible to generate 3D Tiles from different kinds of spatial data through various software tools. However, due to various factors the 3D Tile datasets are often poorly or not at all geo-referenced. To tackle this issue, we propose a new 3D WebGIS framework that facilitates dynamic geo-referencing 3D Tiles on the CesiumJS virtual globe.
基金funded by the Public Welfare Technology Research Project of Zhejiang Province(Grant No.LGF21F020014)the Opening Project ofKey Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security of Zhejiang Police College(Grant No.2021DSJSYS002).
文摘Ceramic tiles are one of the most indispensable materials for interior decoration.The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures.In this paper,we propose a sketch-based generation method for generating diverse ceramic tile images based on a hand-drawn sketches using Generative Adversarial Network(GAN).The generated tile images can be tailored to meet the specific needs of the user for the tile textures.The proposed method consists of four steps.Firstly,a dataset of ceramic tile images with diverse distributions is created and then pre-trained based on GAN.Secondly,for each ceramic tile image in the dataset,the corresponding sketch image is generated and then the mapping relationship between the images is trained based on a sketch extraction network using ResNet Block and jump connection to improve the quality of the generated sketches.Thirdly,the sketch style is redefined according to the characteristics of the ceramic tile images and then double cross-domain adversarial loss functions are employed to guide the ceramic tile generation network for fitting in the direction of the sketch style and to improve the training speed.Finally,we apply hidden space perturbation and interpolation for further enriching the output textures style and satisfying the concept of“one style with multiple faces”.We conduct the training process of the proposed generation network on 2583 ceramic tile images dataset.To measure the generative diversity and quality,we use Frechet Inception Distance(FID)and Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)metrics.The experimental results prove that the proposed model greatly enhances the generation results of the ceramic tile images,with FID of 32.47 and BRISQUE of 28.44.
文摘Research conducted on ceramic materials has been investigating the incorporation of solid waste into their formulations,driven by the proper disposal of such waste and the reduction of negative environmental impacts.This study analyzed the effects of adding aluminum powder residue to the physical properties of ceramic masses with the aim of obtaining new formulations for ceramic tiles.The aluminum residue and the standard mass for ceramic tile production were chemically characterized and homogenized to obtain new formulations with the incorporation of 4%,6%,8%,and 10%aluminum powder in the ceramic mass.The specimens were uniaxially pressed and sintered at a temperature of 1,200°C for 2 h,undergoing three different temperatures(100°C,400°C,and 650°C)for 30 min each.They were evaluated for WA(water absorption),RLq(linear shrinkage),SEM(scanning electron microscopy),and TRF(flexural strength)modulus.The results demonstrate that the addition of aluminum powder residue is feasible in the proposed formulations(4%,6%,8%,and 10%),as they enhance the mechanical properties of the ceramics compared to the formulation with 0%residue,at a sintering temperature of 1,200°C.
文摘目的：回顾性分析 Tile C 型骨盆骨折患者死亡相关的危险因素。方法2010年1月至2014年12月我院收治的 Tile C 型骨盆骨折患者139例,收集资料包括术前一般情况、伤后就诊时间、休克指数、各类创伤评分、最低氧合指数、伤后6 h 乳酸清除率等,采用多因素 Logistic 回归分析死亡相关危险因素。结果入院后死亡41例（29.5%）,其中入院后48 h 内死亡36例（25.9%）。多因素回归分析显示,休克指数＆gt;2（OR=2.591,95%CI 1.041~4.216）、损伤严重程度评分（ISS）≥25分（OR=47.96,95%CI 15.89~147.23）、改良创伤评分（RTS）≤8分（OR=6.917,95%CI 1.147-13.862）、格拉斯哥昏迷评分（GCS）〈9分（OR=4.172,95%CI 2.962~6.268）、最低氧合指数〈200（OR=117.016,95%CI 51.011~176.032）、伤后6 h 乳酸清除率〈10%（OR=2.785,95%CI 1.191~4.892）,以及合并头部损伤（OR=6.302,95%CI 2.270~13.175）或胸部损伤（OR=12.233,95%CI 5.193~33.985）是骨盆骨折患者死亡相关危险因素（P 〈0.01）。早期行血管栓塞治疗有助于降低死亡风险（OR=0.887,95%CI 0.875~0.899）。结论创伤评分高,出现严重休克、昏迷、氧合指数下降和6 h 乳酸清除率降低,合并头部和胸部损伤是导致 Tile C 型骨盆骨折患者死亡的危险因素。
