By integrating medical science with cutting edge simulation and training technologies, realistic prosthetic tissue, wounds, and part task trainers have been developed for the training of trauma care clinicians. The ne...
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An unmanned aerial vehicle(UAV)is a small,fast aircraft with many useful *** is widely used in military reconnaissance,aerial photography,searches,and other fields;it also has very good practical-application and devel...
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An unmanned aerial vehicle(UAV)is a small,fast aircraft with many useful *** is widely used in military reconnaissance,aerial photography,searches,and other fields;it also has very good practical-application and development *** the UAV’s flight orientation is easily changeable,its orientation and flight path are difficult to control,leading to its high damage ***,UAV flight-control technology has become the focus of *** study focuses on simulating a UAV’s flight and orientation control,and detecting collisions between a UAV and objects in a complex virtual *** proportional-integral-derivative control algorithm is used to control the orientation and position of the UAV in a virtual environment.A version of the bounding-box method that combines a grid with a k-dimensional tree is adopted in this paper,to improve the system performance and accelerate the collision-detection *** provides a practical method for future studies on UAV flight position and orientation control,collision detection,etc.
Studierstube is an experimental user interface system which uses collaborative augmented reality to incorporate true 3D interaction into a productivity environment. This concept is extended to bridge multiple user int...
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Studierstube is an experimental user interface system which uses collaborative augmented reality to incorporate true 3D interaction into a productivity environment. This concept is extended to bridge multiple user interface dimensions by including multiple users, multiple host platforms, multiple display types, multiple concurrent applications and a multi-context (i.e. 3D document) interface into a heterogeneous distributed environment. With this architecture, we can explore the user interface design space between pure augmented reality and the popular ubiquitous computing paradigm. We report on our design philosophy, which is centered around the notion of contexts and locales, as well as the underlying software and hardware architecture. Contexts encapsulate a live application together with 3D (visual) and other data, while locales are used to organize geometric reference systems. By separating geometric relationships (locales) from semantic relationships (contexts), we achieve a great amount of flexibility in the configuration of displays. To illustrate our claims, we present several applications, including a cinematographic design tool which showcases many features of our system.
Background Fast simulation techniques are strongly favored in computer graphics,especially for the nonlinear inhomogeneous elastic *** homogenization theory is a perfect match to simulate inhomogeneous deformable obje...
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Background Fast simulation techniques are strongly favored in computer graphics,especially for the nonlinear inhomogeneous elastic *** homogenization theory is a perfect match to simulate inhomogeneous deformable objects with its coarse discretization,as it reveals how to extract information at a fine scale and to perform efficient computation with much less *** existing homogenization method is not applicable for ubiquitous nonlinear materials with the limited input deformation *** In this paper,we have proposed a homogenization method for the efficient simulation of nonlinear inhomogeneous elastic *** approach allows for a faithful approximation of fine,heterogeneous nonlinear materials with very coarse *** analysis provides the basis of a linear deformation space and modal derivatives extend the space to a nonlinear regime;based on this,we exploited modal derivatives as the input characteristic deformations for *** also present a simple elastic material model that is nonlinear and anisotropic to represent the homogenized *** nonlinearity of material deformations can be represented properly with this *** material properties for the coarsened model were solved via a constrained optimization that minimizes the weighted sum of the strain energy deviations for all input deformation *** arbitrary number of bases can be used as inputs for homogenization,and greater weights are placed on the more important low-frequency *** Based on the experimental results,this study illustrates that the homogenized material properties obtained from our method approximate the original nonlinear material behavior much better than the existing homogenization method with linear displacements,and saves orders of magnitude of computational *** The proposed homogenization method for nonlinear inhomogeneous elastic materials is capable of capturing the nonlinear dynamics of the
Recent years have witnessed great progress of deep convolutional neural networks (DCNNs) for solving scene understanding tasks [1–3]. These advances prefer to construct deeper and larger net-
Recent years have witnessed great progress of deep convolutional neural networks (DCNNs) for solving scene understanding tasks [1–3]. These advances prefer to construct deeper and larger net-
Background:virtualreality (VR) simulators are increasingly used in dental education, offering advantages such as repeatable practice and immediate feedback. However, evidence comparing their efficacy to traditional p...
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Background:virtualreality (VR) simulators are increasingly used in dental education, offering advantages such as repeatable practice and immediate feedback. However, evidence comparing their efficacy to traditional phantom heads for veneer preparation training remains limited.
Objective:This study aimed to compare the effectiveness of 2 widely used VR simulators (Unidental and Simodont) against traditional phantom heads for veneer tooth preparation training and evaluate the impact of training sequence (simulator-first vs phantom-head-first) on skill acquisition.
Methods:A randomized controlled trial was conducted with 80 fourth-year dental students from Peking University School of Stomatology. Participants were stratified by gender and academic performance, then equally allocated to 8 groups. Groups 1-3 trained exclusively using Unidental, Simodont, or phantom heads, respectively, while groups 4-8 followed hybrid sequences combining simulator and phantom-head training. Each participant performed veneer preparations on a maxillary central incisor. Preparations were evaluated by a blinded instructor using a validated 100-point rubric assessing marginal integrity (30%), preparation depth (25%), proximal contour (25%), and surface smoothness (20%). Posttraining questionnaires (100-point scale) compared user perceptions of simulator realism, haptic feedback, and educational value.
Results:There were no statistically significant differences in the preparation quality among groups using different training methods (Unidental: 88.9, SD 3.6; Simodont: 88.6, SD 1.6; phantom heads: 89.4, SD 2.8; P=.81) or different training methodologies (simulator-first vs phantom-head-first) (simulator first: P=.18; phantom head first: P=.09, different sequences of Unidental: P=.16; different sequences of Simodont: P=.11). However, significant differences were observed between the evaluations of the 2 simulators in terms of realism of the odontoscope's reflection (Simodont: 55.6, SD 33.7; Un
The rapid growth of IoT devices has heightened the risk of botnet attacks, calling for scalable and distributed detection solutions. In this context, this study proposes a distributed optimization system for IoT attac...
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Attendance is an important part of daily classroom evaluation. This paper develops an automatic attendance system by integrating two deep learning algorithm Faster R-CNN face detection algorithm and Seeta Face face re...
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Attendance is an important part of daily classroom evaluation. This paper develops an automatic attendance system by integrating two deep learning algorithm Faster R-CNN face detection algorithm and Seeta Face face recognition algorithm. The results of numerous experiments indict that:(1) the system can record such five violations of classroom, that is absence, later arrival, early departure, free access, and carelessness for attendance, and give the attendance table which can reflect the learning situation of all students after school.(2) For small classrooms with length of less than 6 meters, 1080P classroom monitoring video can meet the needs of classroom attendance;but for 9 meters of big classrooms, you should use 4 K classroom surveillance video.
Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, v...
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ISBN:
(纸本)9781450339292
Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, variability etc. However, the comparison of the derived feature or user-defined feature (e.g. vortex) is also of vital significance since they often make more sense according to the domain knowledge. In this paper, we present a new framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help extract vortex with a user-defined shape. We further compute the geometry information including the size, and the geo-spatial location of the extracted vortex, and design some link views to compare them between different runs. Results show that our method is capable of extracting user-defined feature across different runs and comparing them spatially and temporally.
Quantitative evaluation in class can effectively improve the quality of classroom teaching, but the automatic evaluation tool is very scarce. In order to be able to carry out large-scale automatic evaluation of teache...
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Quantitative evaluation in class can effectively improve the quality of classroom teaching, but the automatic evaluation tool is very scarce. In order to be able to carry out large-scale automatic evaluation of teacher-student interaction, this paper first designed a set of indicator system for the classroom interactive evaluation;and then input teacher and student dialogue text from the classroom teaching video;and asked two education evaluation professionals to evaluate the interaction between teachers and students on the same lesson according to the video and text respectively to observe the validity of the interactive evaluation of teachers and students based on the dialogue text. This paper then presented a teacher-student interactive automatic coding technique(SAC) based on dialogue sentences, and constructed a set of classroom-teaching automatic evaluation system(BIAS) for teacher-student interaction. The experimental results show that BIAS not only provides more interactive evaluation function of teachers and students, but also improves the educational evaluation personnel's coding efficiency by 7.3 times compared with the Flanders coding system(FIAS), which is manually coded.
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