scholarly journals An Interactive Real-Time Cutting Technique for 3D Models in Mixed Reality

Technologies ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 23
Author(s):  
Paolo Caligiana ◽  
Alfredo Liverani ◽  
Alessandro Ceruti ◽  
Gian Maria Santi ◽  
Giampiero Donnici ◽  
...  

This work describes a Mixed Reality application useful to modify and cut virtual objects. A digital simulation of surgical operations is presented. Following this approach, surgeons can test all the designed solutions of the preoperative stage in a Mixed Reality environment. High precision in surgery applications can be achieved thanks to the new methodology. The presented solution is hands free and does not need the use of a mouse or computer’s keyboard: it is based on HoloLens, Leap Motion device and Unity. A new cutting algorithm has been developed in order to handle multiple objects and speed up the cut with complex meshes and preserve geometry quality. A case study presents the cut of several bones in order to simulate surgeon’s operations. A reduction in cut time compared to the original method is noticed, together with a high flexibility of the tool and a good fidelity of the geometry. Moreover, all the object fragments generated from the algorithm are available for manipulation and new cuts.

Author(s):  
B. G. Marino ◽  
A. Masiero ◽  
F. Chiabrando ◽  
A. M. Lingua ◽  
F. Fissore ◽  
...  

<p><strong>Abstract.</strong> Thanks to the recent worldwide spread of drones and to the development of structure from motion photogrammetric software, UAV photogrammetry is becoming a convenient and reliable way for the 3D documentation of built heritage. Hence, nowadays, UAV photogrammetric surveying is a common and quite standard tool for producing 3D models of relatively large areas. However, when such areas are large, then a significant part of the generated point cloud is often of minor interest. Given the necessity of efficiently dealing with storing, processing and analyzing the produced point cloud, some optimization step should be considered in order to reduce the amount of redundancy, in particular in the parts of the model that are of minor interest. Despite this can be done by means of a manual selection of such parts, an automatic selection is clearly much more viable way to speed up the final model generation. Motivated by the recent development of many semantic classification techniques, the aim of this work is investigating the use of point cloud optimization based on semantic recognition of different components in the photogrammetric 3D model. The Girifalco Fortress (Cortona, Italy) is used as case study for such investigation. The rationale of the proposed methodology is clearly that of preserving high point density in the model in the areas that describe the fortress, whereas point cloud density is dramatically reduced in vegetated and soil areas. Thanks to the implemented automatic procedure, in the considered case study, the size of the point cloud has been reduced by a factor five, approximately. It is worth to notice that such result has been obtained preserving the original point density on the fortress surfaces, hence ensuring the same capabilities of geometric analysis of the original photogrammetric model.</p>


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Maggie Dahn ◽  
Christine Lee ◽  
Noel Enyedy ◽  
Joshua Danish

AbstractIn inquiry-based science lessons teachers face the challenge of adhering to curricular goals while simultaneously following students’ intuitive understandings. Improvisation (improv) provides a useful frame for understanding teaching in these inquiry-based contexts. This paper builds from prior work that uses improv as a metaphor for teaching to present a translated model for analysis of teaching in an inquiry-based, elementary school science lesson context. We call our model instructional improv, which shows how a teacher spontaneously synthesizes rules of improv with teaching practices to support student learning, engagement, and agency. We illustrate instructional improv through case study analysis of video recorded classroom interactions with one teacher and 26 first and second grade students learning about the complex system of honey bee pollination in a mixed reality environment. Our model includes the following defining features to describe how teaching happens in this context: the teacher 1) tells a story; 2) reframes mistakes as opportunities; 3) agrees; 4) yes ands; 5) makes statements (or asks questions that elicit statements); and 6) puts the needs of the classroom ensemble over individuals. Overall, we show how instructional improv helps explain how teachers can support science discourse and collective storytelling as a teacher (a) shifts power and agency to students; (b) balances learning and agency; and (c) makes purposeful instructional decisions. Findings have immediate implications for researchers analyzing interactions in inquiry-based learning environments and potential future implications for teachers to support inquiry learning.


2017 ◽  
Vol 32 (160) ◽  
pp. 480-496 ◽  
Author(s):  
Amerigo Corradetti ◽  
Stefano Tavani ◽  
Mario Russo ◽  
Pau Cazo Arbués ◽  
Pablo Granado

2018 ◽  
Vol 16 (06) ◽  
pp. 1850052
Author(s):  
Y. H. Lee ◽  
M. Khalil-Hani ◽  
M. N. Marsono

While physical realization of practical large-scale quantum computers is still ongoing, theoretical research of quantum computing applications is facilitated on classical computing platforms through simulation and emulation methods. Nevertheless, the exponential increase in resource requirement with the increase in the number of qubits is an inherent issue in classical modeling of quantum systems. In the effort to alleviate the critical scalability issue in existing FPGA emulation works, a novel FPGA-based quantum circuit emulation framework based on Heisenberg representation is proposed in this paper. Unlike previous works that are restricted to the emulations of quantum circuits of small qubit sizes, the proposed FPGA emulation framework can scale-up to 120-qubit on Altera Stratix IV FPGA for the stabilizer circuit case study while providing notable speed-up over the equivalent simulation model.


2021 ◽  
Vol 235 ◽  
pp. 02031
Author(s):  
Siyue Liu

This paper explores the difficulties of building a service-oriented government by taking the evaluation results of public service satisfaction of Guizhou province in 2019 as an example. This paper finds that building a service-oriented government is the process of improving the quality of public service in an all-round way. With the steady improvement of the public service quality in China, the public’s expectation of the public service quality has been improved by changing from the original “yes or no” to the current “good or not”. In order to speed up the construction of service-oriented government, government departments should pay attention to the change of public demand and take the comfort, richness and transparency of public service as the key points of quality improvement.


2021 ◽  
Vol 64 (6) ◽  
pp. 1895-1905
Author(s):  
Dachen Wang ◽  
Zhe Feng ◽  
Di Cui

HighlightsA handheld device was developed for automatic on-site measurement of fruit firmness.The prototype device achieved better performance than a typical commercial penetrometer.Two commonly used firmness-related parameters could be predicted based on the prototype readings.The distribution and changes of firmness could be visualized based on 3D models of the prototype readings.Abstract. Firmness is an important indicator of fruit quality. The devices for on-site fruit firmness measurement need to be portable, low-cost, lightweight, reliable, and flexible. Existing portable devices can provide firmness-related parameters, but their measurement results cannot be converted to each other. Their measurement results are also susceptible to operator error due to the manual measurement process. To solve this problem, a prototype handheld device was developed based on sensing fruit resistance to achieve automatic on-site firmness measurement of fruit with edible peel and provide commonly used firmness-related parameters. The prototype’s precision was verified by analyzing the repeatability and reproducibility of the measurement results with four Shore hardness blocks. The relative standard deviations (RSDs) of the results obtained by the same operator were less than 0.61%, and there was no significant difference among the results obtained by different operators (p &lt; 0.05), which indicated that the prototype could provide reliable measurement results. A case study of peaches was performed, and the results showed that (1) the prototype had better performance than a commercial penetrometer, (2) two commonly used firmness-related parameters could be predicted based on regression models between a texture analyzer and the prototype readings (R2P = 0.908 and RMSEP = 4.191 N for maximum force; R2P = 0.923 and RMSEP = 1.613 N mm-1 for initial slope), (3) changes in the prototype readings for peaches during growth corresponded with the growth characteristics, and (4) the distribution and changes of peach firmness over time could be visualized based on 3D models of the prototype readings. Keywords: Automatic, Fruit firmness, Handheld device, High precision, Peach.


2014 ◽  
Vol 609-610 ◽  
pp. 1248-1253
Author(s):  
Chen Xu Zhao ◽  
Xin Guo ◽  
Tao Deng ◽  
Ling Li ◽  
Ze Wen Liu

This paper presents an efficient methodology for automated optimal tailoring actuation voltage waveform of MEMS switches aiming at eliminating the detrimental contact bouncing effect to speed up the switching process and improve the mechanical reliability. This is a simulation-based approach where genetic algorithm (GA) is used in combination with a dedicated mechanical model of MEMS switch to derive optimal actuation waveform. The proposed technique has been implemented in SystemC-A, which is extremely well suited for complex modeling, implementation of post-processing of simulation results and optimization algorithms. Effectiveness of proposed approach is corroborated by a practical case study of automated actuation waveform design for a prefabricated DC-contact MEMS switch. The experimental results show that the switching time of the switch by employing optimized actuation voltage waveform is dramatically reduced to 60μs from 95μs, while the bouncing effect is successfully eliminated.


2020 ◽  
Vol 10 (21) ◽  
pp. 7803
Author(s):  
Miguel Angel Dilena ◽  
Marie Soressi

Archaeological excavation is a demolishing process. Rather few elements outlast extractive operations. Therefore, it is hard to visualise the precise location of unearthed finds at a previously excavated research area. Here, we present a mixed reality environment that displays in situ 3D models of features that were formerly extracted and recorded with 3D coordinates during unearthing operations. We created a tablet application that allows the user to view the position, orientation and dimensions of every recorded find while freely moving around the archaeological site with the device. To anchor the model, we used physical landmarks left at the excavation. A series of customised forms were created to show (onscreen) the different types of features by superimposing them over the terrain as perceived by the tablet camera. The application permits zooming-in, zooming-out, querying for specific artefacts and reading metadata associated with the archaeological elements. When at the office, our environment enables accurate visualisations of the 3D geometry concerning previously unearthed features and their spatial relationships. The application operates using the Swift programming language, Python scripts and ARKit technology. We present here an example of its use at Les Cottés, France, a palaeolithic site where thousands of artefacts are excavated out of six superimposed layers with a complex conformation.


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