Railway accidents,particularly serious derailments,can lead to catastrophic consequences.Therefore,it is essential to prevent derailment escalation to reduce the likelihood of severe derailments.Train post-derailment ...Railway accidents,particularly serious derailments,can lead to catastrophic consequences.Therefore,it is essential to prevent derailment escalation to reduce the likelihood of severe derailments.Train post-derailment behaviours and containment methods play a critical role in preventing derailment escalation and providing passive safety protection and accident prevention in the event of a derailment.However,despite the increasing attention on this field from academia and industry in recent years,there is a lack of systematic exploration and summarization of emerging applications and containment methods in train post-derailment research.For this reason,this paper presents a comprehensive review of existing studies on train post-derailment behaviours,encompassing various topics such as post-derailment contact-impact models,dynamic modelling and simulation techniques,and the primary factors influencing post-derailment behaviours.Significantly,this review introduces and elucidates substitute guidance mechanisms(SGMs),which serve as railway-specific passive safety protection and accident prevention measures.The various types of SGMs are depicted,and their ongoing developments and applications are explored in depth.The review additionally points out several unresolved challenges including the adverse effects of SGMs,and proposes future research directions to advance the theoretical understanding and practical application of train post-derailment behaviours and containment methods.This review seeks to be a valuable reference for railway industry professionals in preventing catastrophic derailment consequences through post-derailment containment methods.展开更多
Many recent applications of computer graphics and human computer interaction have adopted both colour cameras and depth cameras as input devices. Therefore, an effective calibration of both types of hardware taking di...Many recent applications of computer graphics and human computer interaction have adopted both colour cameras and depth cameras as input devices. Therefore, an effective calibration of both types of hardware taking different colour and depth inputs is required. Our approach removes the numerical difficulties of using non-linear optimization in previous methods which explicitly resolve camera intrinsics as well as the transformation between depth and colour cameras. A matrix of hybrid parameters is introduced to linearize our optimization. The hybrid parameters offer a transformation from a depth parametric space （depth camera image） to a colour parametric space （colour camera image） by combining the intrinsic parameters of depth camera and a rotation transformation from depth camera to colour camera. Both the rotation transformation and intrinsic parameters can be explicitly calculated from our hybrid parameters with the help of a standard QR factorisation. We test our algorithm with both synthesized data and real-world data where ground-truth depth information is captured by Microsoft Kinect. The experiments show that our approach can provide comparable accuracy of calibration with the state-of-the-art algorithms while taking much less computation time （1/50 of Herrera＇s method and 1/10 of Raposo＇s method） due to the advantage of using hybrid parameters.展开更多
In the world of wireless sensor networks(WSNs),optimizing performance and extending network lifetime are critical goals.In this paper,we propose a new model called DTLR-Net(Deep Temporal LSTM Regression Network)that e...In the world of wireless sensor networks(WSNs),optimizing performance and extending network lifetime are critical goals.In this paper,we propose a new model called DTLR-Net(Deep Temporal LSTM Regression Network)that employs long-short-term memory and is effective for long-term dependencies.Mobile sinks can move in arbitrary patterns,so the model employs long short-term memory(LSTM)networks to handle such movements.The parameters were initialized iteratively,and each node updated its position,mobility level,and other important metrics at each turn,with key measurements including active or inactive node ratio,energy consumption per cycle,received packets for each node,contact time,and interconnect time between nodes,among others.These metrics aid in determining whether the model can remain stable under a variety of conditions.Furthermore,in addition to focusing on stability and security,these measurements assist us in predicting future node behaviors as well as how the network operates.The results show that the proposed model outperformed all other models by achieving a lifetime of 493.5 s for a 400-node WSN that persisted through 750 rounds,whereas other models could not reach this value and were significantly lower.This research has many implications,and one way to improve network performance dependability and sustainability is to incorporate deep learning approaches into WSN dynamics.展开更多
This book systematically introduces the diversity and ecology of all kinds of organisms on Earth.From birds in the sky to mammals on land,each animal is described in detail with vivid illustrations and concise text,be...This book systematically introduces the diversity and ecology of all kinds of organisms on Earth.From birds in the sky to mammals on land,each animal is described in detail with vivid illustrations and concise text,beginning with taxonomy and detailing the evolutionary process and characteristics of each animal.This illustrated book is not only suitable for readers with a keen interest in biology,but also provides a comprehensive and enjoyable journey of zoological exploration for teenagers.展开更多
Background Deep 3D morphable models(deep 3DMMs)play an essential role in computer vision.They are used in facial synthesis,compression,reconstruction and animation,avatar creation,virtual try-on,facial recognition sys...Background Deep 3D morphable models(deep 3DMMs)play an essential role in computer vision.They are used in facial synthesis,compression,reconstruction and animation,avatar creation,virtual try-on,facial recognition systems and medical imaging.These applications require high spatial and perceptual quality of synthesised meshes.Despite their significance,these models have not been compared with different mesh representations and evaluated jointly with point-wise distance and perceptual metrics.Methods We compare the influence of different mesh representation features to various deep 3DMMs on spatial and perceptual fidelity of the reconstructed meshes.This paper proves the hypothesis that building deep 3DMMs from meshes represented with global representations leads to lower spatial reconstruction error measured with L_(1) and L_(2) norm metrics and underperforms on perceptual metrics.In contrast,using differential mesh representations which describe differential surface properties yields lower perceptual FMPD and DAME and higher spatial fidelity error.The influence of mesh feature normalisation and standardisation is also compared and analysed from perceptual and spatial fidelity perspectives.Results The results presented in this paper provide guidance in selecting mesh representations to build deep 3DMMs accordingly to spatial and perceptual quality objectives and propose combinations of mesh representations and deep 3DMMs which improve either perceptual or spatial fidelity of existing methods.展开更多
Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computatio...Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency.Novel techniques have emerged to deal with complex boundaries,multiphase fluids,gas-liquid interfaces,and fine details.The parallel use of machine learning,image processing,and fluid control technologies has brought many interesting and novel research perspectives.In this survey,we provide an introduction to theoretical concepts underpinning physics-based fuid simulation and their practical implementation,with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fuid simulation,with a focus on developments in the last decade.Driven by the distribution of recent publications in the field,we structure our survey to cover physical background;discretization approaches;computational methods that address scalability;fuid interactions with other materials and interfaces;and methods for expressive aspects of surface detail and control.From a practical perspective,we give an overview of existing implementations available for the above methods.展开更多
This study proposes a new generation network based on transformers and guided by the music theory to produce high-quality music work.In this study,the decoding block of the transformer is used to learn the internal in...This study proposes a new generation network based on transformers and guided by the music theory to produce high-quality music work.In this study,the decoding block of the transformer is used to learn the internal information of single-track music,and cross-track transformers are used to learn the information amongst the tracks of different musical instruments.A reward network based on the music theory is proposed,which optimizes the global and local loss objective functions while training and discriminating the network so that the reward network can provide a reliable adjustment method for the generation of the network.The method of combining the reward network and cross entropy loss is used to guide the training of the generator and produce high-quality music work.Compared with other multi-track music generation models,the experimental results verify the validity of the model.展开更多
Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, ...Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a naturM barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, method, being foldover-free and offering a good trade-off between our approach bears the advantages of stretch-minimizing angle and volume distortions.展开更多
Recently, virtual reality and interactive somatosensory technology has become one of the hot issues in the research of computer applications. Leap Motion is a new type of interactive somatosensory devices which bring ...Recently, virtual reality and interactive somatosensory technology has become one of the hot issues in the research of computer applications. Leap Motion is a new type of interactive somatosensory devices which bring users senses of immersion efficiently. This paper studies a interactive somatosensory game model based on Leap Motion and implemented with Unity. Based on the two core technology philosophy of Leap Motion, i.e., virtual reality technology and body sense of interactive technology, the design implementation of each sub module of the system and Leap Motion game algorithm are thoroughly addressed. This paper has certain significance for future application of Leap Motion in film, television, and interactive games.展开更多
It is difficult to extend image-based relief generation to high-relief generation, as the images contain insufficient height information. To generate reliefs from three-dimensional （3D） models, it is necessary to ex...It is difficult to extend image-based relief generation to high-relief generation, as the images contain insufficient height information. To generate reliefs from three-dimensional （3D） models, it is necessary to extract the height fields from the model, but this can only generate bas-reliefs. To overcome this problem, an efficient method is proposed to generate bas-reliefs and high-reliefs directly from 3D meshes. To produce relief features that are visually appropriate, the 3D meshes are first scaled. 3D unsharp masking is used to enhance the visual features in the 3D mesh, and average smoothing and Laplacian smoothing are implemented to achieve better smoothing results. A nonlinear variable scaling scheme is then employed to generate the final bas-reliefs and high-reliefs. Using the proposed method, relief models can be generated from arbitrary viewing positions with different gestures and combinations of multiple 3D models. The generated relief models can be printed by 3D printers. The proposed method provides a means of generating both high-reliefs and bas-reliefs in an efficient and effective way under the appropriate scaling factors.展开更多
In the north of Cote d’Ivoire, the rural economy is heavily dependent on cotton cultivation which is characterized by low yield. One of the main causes of low productivity is low level of soil fertility caused by ero...In the north of Cote d’Ivoire, the rural economy is heavily dependent on cotton cultivation which is characterized by low yield. One of the main causes of low productivity is low level of soil fertility caused by erosion. The stone barriers technique is used to fight against erosion and to improve soil fertility. This work was carried out to assess the effects during 1-year-old stone barriers on selected soil physicochemical properties on two geographical locations where soil samples from 0 to 30 cm depth were selected. A total of 60 composite soil samples (30 × 2) were collected. One year after installing the stone bunds in cotton cultivation, the soil was sampled under the same conditions. The soil samples were analyzed for pH (H2O), organic carbon (SOC), total nitrogen (TN), available phosphorus (Av.P), cation exchange capacity (CEC), exchange bases (Ca, K, Mg, Na) and particle size (clay, coarse silt and sand) contents. The results show that the stone bunds significantly increased the water pH, the soil levels of calcium, magnesium, silt and coarse sand. On the other hand, they significantly lowered the levels of assimilable phosphorus, clay and fine sand in soils. CEC and soil carbon, nitrogen, potassium, sodium and fine silt content did not vary significantly. This study must be repeated in the years to come in order to determine the impact of stone barriers in the medium and long term on soil fertility in the north of C<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;"><span style="white-space:nowrap;">ô</span></span>te d’Ivoire.展开更多
We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units...We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units.Our approach is based on constructing a bounding volume hierarchy(BVH)and we use that hierarchy to generate an octree-based ADF.We exploit the coherence between successive frames and sort the grid points of the octree to accelerate the computation.Our approach is applicable to rigid and deformable models.Our GPU-based(graphics processing unit based)algorithm is about 20x--50x faster than current mainstream central processing unit based algorithms.Our BADF algorithm can construct the distance fields for deformable models with 60k triangles at interactive rates on an NVIDIA GTX GeForce 1060.Moreover,we observe 3x speedup over prior GPU-based ADF algorithms.展开更多
Character models have enormous applications in industry.Efficient creation of detailed character models is an important topic.This paper proposes a new and easy-to-use technique to quickly create detailed character mo...Character models have enormous applications in industry.Efficient creation of detailed character models is an important topic.This paper proposes a new and easy-to-use technique to quickly create detailed character models from sketches.The proposed technique consists of two main components:primitive deformer and shape generators.With this technique,2D silhouette contours of a character model are drawn or extracted from an image or sketch.Then,proper geometric primitives are selected and aligned with the corresponding 2D silhouette contours.After that,a primitive deformer is used to create a base mesh and three shape generators are used to add 3D details to the base mesh.The primitive deformer and three shape generators are developed from ODE-driven deformations.The primitive deformer deforms the aligned geometric primitives to exactly match the 2D silhouette contours in one view plane and obtains a base mesh of a character model consisting of deformed primitives.The shape generators are used to add 3D details to the base mesh by creating local 3D models.The experimental results demonstrate that the new technique can quickly create detailed 3D character models from sketches with few manual operations.The new technique is physics-based and easy to learn and use.展开更多
Background.Prediction of mortality risk in intensive care units(ICU)is an important task.Data-driven methods such as scoring systems,machine learning methods,and deep learning methods have been investigated for a long...Background.Prediction of mortality risk in intensive care units(ICU)is an important task.Data-driven methods such as scoring systems,machine learning methods,and deep learning methods have been investigated for a long time.However,few datadriven methods are specially developed for pediatric ICU.In this paper,we aim to amend this gap—build a simple yet effective linear machine learning model from a number of hand-crafted features for mortality prediction in pediatric ICU.Methods.We use a recently released publicly available pediatric ICU dataset named pediatric intensive care(PIC)from Children’s Hospital of Zhejiang University School of Medicine in China.Unlike previous sophisticated machine learning methods,we want our method to keep simple that can be easily understood by clinical staffs.Thus,an ensemble step-wise feature ranking and selection method is proposed to select a small subset of effective features from the entire feature set.A logistic regression classifier is built upon selected features for mortality prediction.Results.The final predictive linear model with 11 features achieves a 0.7531 ROC-AUC score on the hold-out test set,which is comparable with a logistic regression classifier using all 397 features(0.7610 ROC-AUC score)and is higher than the existing well known pediatric mortality risk scorer PRISM III(0.6895 ROC-AUC score).Conclusions.Our method improves feature ranking and selection by utilizing an ensemble method while keeping a simple linear form of the predictive model and therefore achieves better generalizability and performance on mortality prediction in pediatric ICU.展开更多
In this paper, we conduct research on the cultural inheritance and vision interactive and the applications on the contemporary art design. In the interaction design, establishment of metaphor interactive model is rela...In this paper, we conduct research on the cultural inheritance and vision interactive and the applications on the contemporary art design. In the interaction design, establishment of metaphor interactive model is relates the key of user image model and designer image model is, through finding in two models product altogether has the characteristics, and reveals with the design language the characteristics, communicates with the user, thus enables the user to understand and grasp product the structure, function, usage-style and other information of rapidly. The inheritance rise of culture to some altitude, with the life or death strong and weak dependence department of the nationality and French structuralism anthropology believes that the behavior and standard of humanity are, the origins and development processes of various cultures by the deep structure of culture is decided has its similarity. Under this basis, this paper proposes the new combination model for later integration that will promote the development of the contemporary art design.展开更多
In 21st century, more and more people see medical services of sport therapists as a promising industry due to global aging population and high biotechnology development. Hence, understanding medical word-of-mouth (WOM...In 21st century, more and more people see medical services of sport therapists as a promising industry due to global aging population and high biotechnology development. Hence, understanding medical word-of-mouth (WOM) process among patients in medical services of sport therapists could be interesting and useful. This study would find out the role of WOM on patients psychology when choosing the sport therapists, understand how patients look for sport therapists’ information and which information source is important to them. As a pioneer, this study would like to improve medical WOM marketing of sport therapists. The authors designed a questionnaire based on how patients choosing sport therapists, including questions search importance of different information sources of sport therapists with medical service decision, and respondents’ psychological demographics. We released 253 questionnaires of judo therapy clinics inTaiwan. More than half of the respondents see sport therapists due to others’ recommendations (referral of family, friends and professionals). Women are more likely to seek medical word-of-mouth information than men;and respondents who think choosing sport therapists are important tend to seek medical word-of-mouth information. Further, patients focus on “therapist’s behavior”, “therapist’s skills”, and “therapist’s ethic”.展开更多
The TCM Path to Good Health The idea of maintaining good health began in China with the practice of traditional Chinese medicine, and gradually got in- terwoven with other disciplines including history, literature and...The TCM Path to Good Health The idea of maintaining good health began in China with the practice of traditional Chinese medicine, and gradually got in- terwoven with other disciplines including history, literature and philosophy. TCM encompasses a complete ideological and aca- demic system geared to keeping fit. It reflects the human pursuit of longevity through avoiding illness and so improving the quality of life.展开更多
Aiming at the practical engineering application of video stylization,in this paper, a GPU-based video art stylization algorithm is proposed, and areal-time video art stylization rendering system is implemented. The fo...Aiming at the practical engineering application of video stylization,in this paper, a GPU-based video art stylization algorithm is proposed, and areal-time video art stylization rendering system is implemented. The four mostcommon artistic styles including cartoon, oil painting, pencil painting and watercolorpainting are realized in this system rapidly. Moreover, the system makesgood use of the GPU’s parallel computing characteristics, transforms the videostylized rendering algorithm into the texture image rendering process, acceleratesthe time-consuming pixel traversal processing in parallel and avoids the loop processingof the traditional CPU. Experiments show that the four art styles achievedgood results, and the system has a good interactive experience.展开更多
As an important autumn feature,scenes with large numbers of falling leaves are common in movies and games. However,it is a challenge for computer graphics to simulate such scenes in an authentic and efficient manner. ...As an important autumn feature,scenes with large numbers of falling leaves are common in movies and games. However,it is a challenge for computer graphics to simulate such scenes in an authentic and efficient manner. This paper proposes a GPU based approach for simulating the falling motion of many leaves in real time. Firstly,we use a motionsynthesis based method to analyze the falling motion of the leaves,which enables us to describe complex falling trajectories using low-dimensional features. Secondly,we transmit a primitive-motion trajectory dataset together with the low-dimensional features of the falling leaves to video memory,allowing us to execute the appropriate calculations on the GPU.展开更多
基金support from the National Natural Science Foundation of China (No.52172407 and No.U19A20110)the Natural Science Foundation of Sichuan Province (No.2022NSFSC0415).
文摘Railway accidents,particularly serious derailments,can lead to catastrophic consequences.Therefore,it is essential to prevent derailment escalation to reduce the likelihood of severe derailments.Train post-derailment behaviours and containment methods play a critical role in preventing derailment escalation and providing passive safety protection and accident prevention in the event of a derailment.However,despite the increasing attention on this field from academia and industry in recent years,there is a lack of systematic exploration and summarization of emerging applications and containment methods in train post-derailment research.For this reason,this paper presents a comprehensive review of existing studies on train post-derailment behaviours,encompassing various topics such as post-derailment contact-impact models,dynamic modelling and simulation techniques,and the primary factors influencing post-derailment behaviours.Significantly,this review introduces and elucidates substitute guidance mechanisms(SGMs),which serve as railway-specific passive safety protection and accident prevention measures.The various types of SGMs are depicted,and their ongoing developments and applications are explored in depth.The review additionally points out several unresolved challenges including the adverse effects of SGMs,and proposes future research directions to advance the theoretical understanding and practical application of train post-derailment behaviours and containment methods.This review seeks to be a valuable reference for railway industry professionals in preventing catastrophic derailment consequences through post-derailment containment methods.
文摘Many recent applications of computer graphics and human computer interaction have adopted both colour cameras and depth cameras as input devices. Therefore, an effective calibration of both types of hardware taking different colour and depth inputs is required. Our approach removes the numerical difficulties of using non-linear optimization in previous methods which explicitly resolve camera intrinsics as well as the transformation between depth and colour cameras. A matrix of hybrid parameters is introduced to linearize our optimization. The hybrid parameters offer a transformation from a depth parametric space （depth camera image） to a colour parametric space （colour camera image） by combining the intrinsic parameters of depth camera and a rotation transformation from depth camera to colour camera. Both the rotation transformation and intrinsic parameters can be explicitly calculated from our hybrid parameters with the help of a standard QR factorisation. We test our algorithm with both synthesized data and real-world data where ground-truth depth information is captured by Microsoft Kinect. The experiments show that our approach can provide comparable accuracy of calibration with the state-of-the-art algorithms while taking much less computation time （1/50 of Herrera＇s method and 1/10 of Raposo＇s method） due to the advantage of using hybrid parameters.
文摘In the world of wireless sensor networks(WSNs),optimizing performance and extending network lifetime are critical goals.In this paper,we propose a new model called DTLR-Net(Deep Temporal LSTM Regression Network)that employs long-short-term memory and is effective for long-term dependencies.Mobile sinks can move in arbitrary patterns,so the model employs long short-term memory(LSTM)networks to handle such movements.The parameters were initialized iteratively,and each node updated its position,mobility level,and other important metrics at each turn,with key measurements including active or inactive node ratio,energy consumption per cycle,received packets for each node,contact time,and interconnect time between nodes,among others.These metrics aid in determining whether the model can remain stable under a variety of conditions.Furthermore,in addition to focusing on stability and security,these measurements assist us in predicting future node behaviors as well as how the network operates.The results show that the proposed model outperformed all other models by achieving a lifetime of 493.5 s for a 400-node WSN that persisted through 750 rounds,whereas other models could not reach this value and were significantly lower.This research has many implications,and one way to improve network performance dependability and sustainability is to incorporate deep learning approaches into WSN dynamics.
文摘This book systematically introduces the diversity and ecology of all kinds of organisms on Earth.From birds in the sky to mammals on land,each animal is described in detail with vivid illustrations and concise text,beginning with taxonomy and detailing the evolutionary process and characteristics of each animal.This illustrated book is not only suitable for readers with a keen interest in biology,but also provides a comprehensive and enjoyable journey of zoological exploration for teenagers.
基金Supported by the Centre for Digital Entertainment at Bournemouth University by the UK Engineering and Physical Sciences Research Council(EPSRC)EP/L016540/1 and Humain Ltd.
文摘Background Deep 3D morphable models(deep 3DMMs)play an essential role in computer vision.They are used in facial synthesis,compression,reconstruction and animation,avatar creation,virtual try-on,facial recognition systems and medical imaging.These applications require high spatial and perceptual quality of synthesised meshes.Despite their significance,these models have not been compared with different mesh representations and evaluated jointly with point-wise distance and perceptual metrics.Methods We compare the influence of different mesh representation features to various deep 3DMMs on spatial and perceptual fidelity of the reconstructed meshes.This paper proves the hypothesis that building deep 3DMMs from meshes represented with global representations leads to lower spatial reconstruction error measured with L_(1) and L_(2) norm metrics and underperforms on perceptual metrics.In contrast,using differential mesh representations which describe differential surface properties yields lower perceptual FMPD and DAME and higher spatial fidelity error.The influence of mesh feature normalisation and standardisation is also compared and analysed from perceptual and spatial fidelity perspectives.Results The results presented in this paper provide guidance in selecting mesh representations to build deep 3DMMs accordingly to spatial and perceptual quality objectives and propose combinations of mesh representations and deep 3DMMs which improve either perceptual or spatial fidelity of existing methods.
基金funded by National Key R&D Program of China(No.2022ZD0118001)National Natural Science Foundation of China(Nos.62376025 and 62332017)+1 种基金Horizon 2020-Marie SklodowskaCurie Action-Individual Fellowships(No.895941)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515030177)。
文摘Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency.Novel techniques have emerged to deal with complex boundaries,multiphase fluids,gas-liquid interfaces,and fine details.The parallel use of machine learning,image processing,and fluid control technologies has brought many interesting and novel research perspectives.In this survey,we provide an introduction to theoretical concepts underpinning physics-based fuid simulation and their practical implementation,with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fuid simulation,with a focus on developments in the last decade.Driven by the distribution of recent publications in the field,we structure our survey to cover physical background;discretization approaches;computational methods that address scalability;fuid interactions with other materials and interfaces;and methods for expressive aspects of surface detail and control.From a practical perspective,we give an overview of existing implementations available for the above methods.
基金the research project funded by the National Natural Science Foundation of China(Grant No.61631016 and 61901421)the National Key R&D Program of China(Grant No.2018YFB1403903)supported by the Fundamental Research Funds for the Central Universities(Grant No.CUC210B011).
文摘This study proposes a new generation network based on transformers and guided by the music theory to produce high-quality music work.In this study,the decoding block of the transformer is used to learn the internal information of single-track music,and cross-track transformers are used to learn the information amongst the tracks of different musical instruments.A reward network based on the music theory is proposed,which optimizes the global and local loss objective functions while training and discriminating the network so that the reward network can provide a reliable adjustment method for the generation of the network.The method of combining the reward network and cross entropy loss is used to guide the training of the generator and produce high-quality music work.Compared with other multi-track music generation models,the experimental results verify the validity of the model.
基金This work was supported by the National Natural Science Foundation of China under Grant No. 61170141, the National High Technology Research and Development 863 Program of China under Grant No. 2013AA013903, the People Programme （Marie Curie Ac- tions） of the European Union＇s Seventh Framework Programme FP7/2007-2013/ under REA Grant Agreement n^° [612627]-＂AniNex＂, and the Zhejiang Provincal Natural Science Foundation of China under Grant No. LY13F020036. Acknowledgement We would thank all anonymous reviewers for their helpful suggestions and Xin Li and Noam Aigerman for providing data and codes on their homepagcs.
文摘Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a naturM barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, method, being foldover-free and offering a good trade-off between our approach bears the advantages of stretch-minimizing angle and volume distortions.
基金Supported by Gansu Science and Technology Major Project(1302FKDA036)
文摘Recently, virtual reality and interactive somatosensory technology has become one of the hot issues in the research of computer applications. Leap Motion is a new type of interactive somatosensory devices which bring users senses of immersion efficiently. This paper studies a interactive somatosensory game model based on Leap Motion and implemented with Unity. Based on the two core technology philosophy of Leap Motion, i.e., virtual reality technology and body sense of interactive technology, the design implementation of each sub module of the system and Leap Motion game algorithm are thoroughly addressed. This paper has certain significance for future application of Leap Motion in film, television, and interactive games.
基金Supported by National Natural Science Foundation of China(Grant Nos.61402374,41301283)National Hi-tech Research and Development Program of China(863 Program,Grant No.2013AA10230402)China Postdoctoral Science Foundation
文摘It is difficult to extend image-based relief generation to high-relief generation, as the images contain insufficient height information. To generate reliefs from three-dimensional （3D） models, it is necessary to extract the height fields from the model, but this can only generate bas-reliefs. To overcome this problem, an efficient method is proposed to generate bas-reliefs and high-reliefs directly from 3D meshes. To produce relief features that are visually appropriate, the 3D meshes are first scaled. 3D unsharp masking is used to enhance the visual features in the 3D mesh, and average smoothing and Laplacian smoothing are implemented to achieve better smoothing results. A nonlinear variable scaling scheme is then employed to generate the final bas-reliefs and high-reliefs. Using the proposed method, relief models can be generated from arbitrary viewing positions with different gestures and combinations of multiple 3D models. The generated relief models can be printed by 3D printers. The proposed method provides a means of generating both high-reliefs and bas-reliefs in an efficient and effective way under the appropriate scaling factors.
文摘In the north of Cote d’Ivoire, the rural economy is heavily dependent on cotton cultivation which is characterized by low yield. One of the main causes of low productivity is low level of soil fertility caused by erosion. The stone barriers technique is used to fight against erosion and to improve soil fertility. This work was carried out to assess the effects during 1-year-old stone barriers on selected soil physicochemical properties on two geographical locations where soil samples from 0 to 30 cm depth were selected. A total of 60 composite soil samples (30 × 2) were collected. One year after installing the stone bunds in cotton cultivation, the soil was sampled under the same conditions. The soil samples were analyzed for pH (H2O), organic carbon (SOC), total nitrogen (TN), available phosphorus (Av.P), cation exchange capacity (CEC), exchange bases (Ca, K, Mg, Na) and particle size (clay, coarse silt and sand) contents. The results show that the stone bunds significantly increased the water pH, the soil levels of calcium, magnesium, silt and coarse sand. On the other hand, they significantly lowered the levels of assimilable phosphorus, clay and fine sand in soils. CEC and soil carbon, nitrogen, potassium, sodium and fine silt content did not vary significantly. This study must be repeated in the years to come in order to determine the impact of stone barriers in the medium and long term on soil fertility in the north of C<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;"><span style="white-space:nowrap;">ô</span></span>te d’Ivoire.
基金the National Key Research and Development Program of China under Grant No.2018AAA0102703the National Natural Science Foundation of China under Grant Nos.61972341,61972342,and 61732015.
文摘We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units.Our approach is based on constructing a bounding volume hierarchy(BVH)and we use that hierarchy to generate an octree-based ADF.We exploit the coherence between successive frames and sort the grid points of the octree to accelerate the computation.Our approach is applicable to rigid and deformable models.Our GPU-based(graphics processing unit based)algorithm is about 20x--50x faster than current mainstream central processing unit based algorithms.Our BADF algorithm can construct the distance fields for deformable models with 60k triangles at interactive rates on an NVIDIA GTX GeForce 1060.Moreover,we observe 3x speedup over prior GPU-based ADF algorithms.
基金supported by the PDE-GIR project,which has received funding from the European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No.778035by the project PID2021-127073OB-I00 of the MCIN/AEI/10.13039/501100011033/FEDER,EU+1 种基金by the Santander PGR Grantssupported by the Ningbo Major Special Projects of the“Science and Technology Innovation 2025”,grant No.2020Z007.
文摘Character models have enormous applications in industry.Efficient creation of detailed character models is an important topic.This paper proposes a new and easy-to-use technique to quickly create detailed character models from sketches.The proposed technique consists of two main components:primitive deformer and shape generators.With this technique,2D silhouette contours of a character model are drawn or extracted from an image or sketch.Then,proper geometric primitives are selected and aligned with the corresponding 2D silhouette contours.After that,a primitive deformer is used to create a base mesh and three shape generators are used to add 3D details to the base mesh.The primitive deformer and three shape generators are developed from ODE-driven deformations.The primitive deformer deforms the aligned geometric primitives to exactly match the 2D silhouette contours in one view plane and obtains a base mesh of a character model consisting of deformed primitives.The shape generators are used to add 3D details to the base mesh by creating local 3D models.The experimental results demonstrate that the new technique can quickly create detailed 3D character models from sketches with few manual operations.The new technique is physics-based and easy to learn and use.
文摘Background.Prediction of mortality risk in intensive care units(ICU)is an important task.Data-driven methods such as scoring systems,machine learning methods,and deep learning methods have been investigated for a long time.However,few datadriven methods are specially developed for pediatric ICU.In this paper,we aim to amend this gap—build a simple yet effective linear machine learning model from a number of hand-crafted features for mortality prediction in pediatric ICU.Methods.We use a recently released publicly available pediatric ICU dataset named pediatric intensive care(PIC)from Children’s Hospital of Zhejiang University School of Medicine in China.Unlike previous sophisticated machine learning methods,we want our method to keep simple that can be easily understood by clinical staffs.Thus,an ensemble step-wise feature ranking and selection method is proposed to select a small subset of effective features from the entire feature set.A logistic regression classifier is built upon selected features for mortality prediction.Results.The final predictive linear model with 11 features achieves a 0.7531 ROC-AUC score on the hold-out test set,which is comparable with a logistic regression classifier using all 397 features(0.7610 ROC-AUC score)and is higher than the existing well known pediatric mortality risk scorer PRISM III(0.6895 ROC-AUC score).Conclusions.Our method improves feature ranking and selection by utilizing an ensemble method while keeping a simple linear form of the predictive model and therefore achieves better generalizability and performance on mortality prediction in pediatric ICU.
文摘In this paper, we conduct research on the cultural inheritance and vision interactive and the applications on the contemporary art design. In the interaction design, establishment of metaphor interactive model is relates the key of user image model and designer image model is, through finding in two models product altogether has the characteristics, and reveals with the design language the characteristics, communicates with the user, thus enables the user to understand and grasp product the structure, function, usage-style and other information of rapidly. The inheritance rise of culture to some altitude, with the life or death strong and weak dependence department of the nationality and French structuralism anthropology believes that the behavior and standard of humanity are, the origins and development processes of various cultures by the deep structure of culture is decided has its similarity. Under this basis, this paper proposes the new combination model for later integration that will promote the development of the contemporary art design.
文摘In 21st century, more and more people see medical services of sport therapists as a promising industry due to global aging population and high biotechnology development. Hence, understanding medical word-of-mouth (WOM) process among patients in medical services of sport therapists could be interesting and useful. This study would find out the role of WOM on patients psychology when choosing the sport therapists, understand how patients look for sport therapists’ information and which information source is important to them. As a pioneer, this study would like to improve medical WOM marketing of sport therapists. The authors designed a questionnaire based on how patients choosing sport therapists, including questions search importance of different information sources of sport therapists with medical service decision, and respondents’ psychological demographics. We released 253 questionnaires of judo therapy clinics inTaiwan. More than half of the respondents see sport therapists due to others’ recommendations (referral of family, friends and professionals). Women are more likely to seek medical word-of-mouth information than men;and respondents who think choosing sport therapists are important tend to seek medical word-of-mouth information. Further, patients focus on “therapist’s behavior”, “therapist’s skills”, and “therapist’s ethic”.
文摘The TCM Path to Good Health The idea of maintaining good health began in China with the practice of traditional Chinese medicine, and gradually got in- terwoven with other disciplines including history, literature and philosophy. TCM encompasses a complete ideological and aca- demic system geared to keeping fit. It reflects the human pursuit of longevity through avoiding illness and so improving the quality of life.
基金This work is supported by the Natural Science Foundation of China(Grant No.61761046,62061049)the Application and Foundation Project of Yunnan Province(Grant No.202001BB050032,202001BB050043,2018FB100)the Youth Top Talents Project of Yunnan Provincial“Ten Thousands Plan”(Grant No.YNWR-QNBJ-2018-329).
文摘Aiming at the practical engineering application of video stylization,in this paper, a GPU-based video art stylization algorithm is proposed, and areal-time video art stylization rendering system is implemented. The four mostcommon artistic styles including cartoon, oil painting, pencil painting and watercolorpainting are realized in this system rapidly. Moreover, the system makesgood use of the GPU’s parallel computing characteristics, transforms the videostylized rendering algorithm into the texture image rendering process, acceleratesthe time-consuming pixel traversal processing in parallel and avoids the loop processingof the traditional CPU. Experiments show that the four art styles achievedgood results, and the system has a good interactive experience.
基金supported by National High-tech Research and Development Program of China(No.2013AA013903)
文摘As an important autumn feature,scenes with large numbers of falling leaves are common in movies and games. However,it is a challenge for computer graphics to simulate such scenes in an authentic and efficient manner. This paper proposes a GPU based approach for simulating the falling motion of many leaves in real time. Firstly,we use a motionsynthesis based method to analyze the falling motion of the leaves,which enables us to describe complex falling trajectories using low-dimensional features. Secondly,we transmit a primitive-motion trajectory dataset together with the low-dimensional features of the falling leaves to video memory,allowing us to execute the appropriate calculations on the GPU.
