WorldWideScience

Sample records for learned headquarters 3d

  1. DOE headquarters publications

    International Nuclear Information System (INIS)

    1978-09-01

    This bibliography provides listings of (mainly policy and programmatic) publications issued from the U.S. Department of Energy, Washington, D.C. The listings are arranged by the ''report code'' assigned to each of the major organizations at DOE Headquarters, followed by the three categories of environmental reports issued from DOE Headquarters. All of the publications listed, except for those shown as still ''in preparation,'' may be seen in the Energy Library. A title index arranged by title keywords follows the listings. Certain publications are omitted. They include such items as pamphlets, ''fact sheets,'' bulletins and weekly/monthly issuances of DOE's Energy Information Administration and Economic Regulatory Administration, and employee bulletins and newsletters. Omitted from the bibliography altogether are headquarters publications assigned other types of report codes--e.g., ''HCP'' (Headquarters Contractor Publication) and ''CONF'' (conference proceedings)

  2. ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION

    Directory of Open Access Journals (Sweden)

    A. Wichmann

    2018-05-01

    Full Text Available Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they are able to provide state-of-the-art results for various tasks. However, the direct application of deep learning methods to improve the results of 3D building reconstruction is often not possible due, for example, to the lack of suitable training data. To address this issue, we present RoofN3D which provides a new 3D point cloud training dataset that can be used to train machine learning models for different tasks in the context of 3D building reconstruction. It can be used, among others, to train semantic segmentation networks or to learn the structure of buildings and the geometric model construction. Further details about RoofN3D and the developed data preparation framework, which enables the automatic derivation of training data, are described in this paper. Furthermore, we provide an overview of other available 3D point cloud training data and approaches from current literature in which solutions for the application of deep learning to unstructured and not gridded 3D point cloud data are presented.

  3. DOE headquarters publications

    Energy Technology Data Exchange (ETDEWEB)

    None

    1978-09-01

    This bibliography provides listings of (mainly policy and programmatic) publications issued from the U.S. Department of Energy, Washington, D.C. The listings are arranged by the ''report code'' assigned to each of the major organizations at DOE Headquarters, followed by the three categories of environmental reports issued from DOE Headquarters. All of the publications listed, except for those shown as still ''in preparation,'' may be seen in the Energy Library. A title index arranged by title keywords follows the listings. Certain publications are omitted. They include such items as pamphlets, ''fact sheets,'' bulletins and weekly/monthly issuances of DOE's Energy Information Administration and Economic Regulatory Administration, and employee bulletins and newsletters. Omitted from the bibliography altogether are headquarters publications assigned other types of report codes--e.g., ''HCP'' (Headquarters Contractor Publication) and ''CONF'' (conference proceedings). (RWR)

  4. 3D Deep Learning Angiography (3D-DLA) from C-arm Conebeam CT.

    Science.gov (United States)

    Montoya, J C; Li, Y; Strother, C; Chen, G-H

    2018-05-01

    Deep learning is a branch of artificial intelligence that has demonstrated unprecedented performance in many medical imaging applications. Our purpose was to develop a deep learning angiography method to generate 3D cerebral angiograms from a single contrast-enhanced C-arm conebeam CT acquisition in order to reduce image artifacts and radiation dose. A set of 105 3D rotational angiography examinations were randomly selected from an internal data base. All were acquired using a clinical system in conjunction with a standard injection protocol. More than 150 million labeled voxels from 35 subjects were used for training. A deep convolutional neural network was trained to classify each image voxel into 3 tissue types (vasculature, bone, and soft tissue). The trained deep learning angiography model was then applied for tissue classification into a validation cohort of 8 subjects and a final testing cohort of the remaining 62 subjects. The final vasculature tissue class was used to generate the 3D deep learning angiography images. To quantify the generalization error of the trained model, we calculated the accuracy, sensitivity, precision, and Dice similarity coefficients for vasculature classification in relevant anatomy. The 3D deep learning angiography and clinical 3D rotational angiography images were subjected to a qualitative assessment for the presence of intersweep motion artifacts. Vasculature classification accuracy and 95% CI in the testing dataset were 98.7% (98.3%-99.1%). No residual signal from osseous structures was observed for any 3D deep learning angiography testing cases except for small regions in the otic capsule and nasal cavity compared with 37% (23/62) of the 3D rotational angiographies. Deep learning angiography accurately recreated the vascular anatomy of the 3D rotational angiography reconstructions without a mask. Deep learning angiography reduced misregistration artifacts induced by intersweep motion, and it reduced radiation exposure

  5. Learning from graphically integrated 2D and 3D representations improves retention of neuroanatomy

    Science.gov (United States)

    Naaz, Farah

    Visualizations in the form of computer-based learning environments are highly encouraged in science education, especially for teaching spatial material. Some spatial material, such as sectional neuroanatomy, is very challenging to learn. It involves learning the two dimensional (2D) representations that are sampled from the three dimensional (3D) object. In this study, a computer-based learning environment was used to explore the hypothesis that learning sectional neuroanatomy from a graphically integrated 2D and 3D representation will lead to better learning outcomes than learning from a sequential presentation. The integrated representation explicitly demonstrates the 2D-3D transformation and should lead to effective learning. This study was conducted using a computer graphical model of the human brain. There were two learning groups: Whole then Sections, and Integrated 2D3D. Both groups learned whole anatomy (3D neuroanatomy) before learning sectional anatomy (2D neuroanatomy). The Whole then Sections group then learned sectional anatomy using 2D representations only. The Integrated 2D3D group learned sectional anatomy from a graphically integrated 3D and 2D model. A set of tests for generalization of knowledge to interpreting biomedical images was conducted immediately after learning was completed. The order of presentation of the tests of generalization of knowledge was counterbalanced across participants to explore a secondary hypothesis of the study: preparation for future learning. If the computer-based instruction programs used in this study are effective tools for teaching anatomy, the participants should continue learning neuroanatomy with exposure to new representations. A test of long-term retention of sectional anatomy was conducted 4-8 weeks after learning was completed. The Integrated 2D3D group was better than the Whole then Sections group in retaining knowledge of difficult instances of sectional anatomy after the retention interval. The benefit

  6. DOE headquarters publications

    International Nuclear Information System (INIS)

    1978-12-01

    This bibliography provides listings of (mainly policy and programmatic) publications issued from the U.S. Department of Energy, Washington, D.C. The listings are arranged by the report number assigned to each publication. All of the publications listed, except for those shown as still in preparation, may be seen in the Energy Library. A title index arranged by title keywords follows the listings. Certain publications have been omitted. They include such items as pamphlets, fact sheets, bulletins and weekly/monthly issuances of DOE's Energy Information Administration and Economic Regulatory Administration, and employee bulletins and newsletters. Omitted from the bibliography altogether are headquarters publications assigned other types of report codes--e.g., HCP (Headquarters Contractor Publication) and CONF

  7. D.3.3 PLOT Persuasive Learning Design Framework

    DEFF Research Database (Denmark)

    Gram-Hansen, Sandra Burri

    2012-01-01

    In this third and final deliverable of WP3: Persuasive Learning Designs, the theoretical cross field between persuasion and learning and the practical analysis of the technological learning tools and products which are currently related to the PLOT project, namely the GLOMaker and the 3ET tool......, are linked together as persuasive learning designs are defined and exemplified through the four e-PLOT cases. Based on the literary study of D.3.1 as well as the subsequent discussions and reflections regarding the theoretical foundation and practical application of persuasive learning technologies......-PLOT work cases. In conclusion, the report presents a number of suggestions regarding the improvement of the two learning tools, which from a theoretical perspective will enhance the persuasive potential, and which can be taken into consideration in WP4 and 5....

  8. The Regional Special Operations Headquarters: Franchising the NATO Model as a Hedge in Lean Times

    Science.gov (United States)

    2012-04-01

    1 AIR FORCE FELLOWS AIR UNIVERSITY THE REGIONAL SPECIAL OPERATIONS HEADQUARTERS: FRANCHISING THE NATO MODEL AS A HEDGE IN LEAN...Headquarters: Franchising The NATO Model As A Hedge In Lean Times 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d...it is not copyrighted, but is the property of the United States government. 3 The Regional Special Operations Headquarters: Franchising the

  9. Developing physics learning media using 3D cartoon

    Science.gov (United States)

    Wati, M.; Hartini, S.; Hikmah, N.; Mahtari, S.

    2018-03-01

    This study focuses on developing physics learning media using 3D cartoon on the static fluid topic. The purpose of this study is to describe: (1) the validity of the learning media, (2) the practicality of the learning media, and (3) the effectiveness of the learning media. This study is a research and development using ADDIE model. The subject of the implementation of media used class XI Science of SMAN 1 Pulau Laut Timur. The data were obtained from the validation sheet of the learning media, questionnaire, and the test of learning outcomes. The results showed that: (1) the validity of the media category is valid, (2) the practicality of the media category is practice, and (3) the effectiveness of the media category is effective. It is concluded that the learning using 3D cartoon on the static fluid topic is eligible to use in learning.

  10. Deep imitation learning for 3D navigation tasks.

    Science.gov (United States)

    Hussein, Ahmed; Elyan, Eyad; Gaber, Mohamed Medhat; Jayne, Chrisina

    2018-01-01

    Deep learning techniques have shown success in learning from raw high-dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imitation learning has been scarcely explored. Imitation learning can be an efficient method to teach intelligent agents by providing a set of demonstrations to learn from. However, generalizing to situations that are not represented in the demonstrations can be challenging, especially in 3D environments. In this paper, we propose a deep imitation learning method to learn navigation tasks from demonstrations in a 3D environment. The supervised policy is refined using active learning in order to generalize to unseen situations. This approach is compared to two popular deep reinforcement learning techniques: deep-Q-networks and Asynchronous actor-critic (A3C). The proposed method as well as the reinforcement learning methods employ deep convolutional neural networks and learn directly from raw visual input. Methods for combining learning from demonstrations and experience are also investigated. This combination aims to join the generalization ability of learning by experience with the efficiency of learning by imitation. The proposed methods are evaluated on 4 navigation tasks in a 3D simulated environment. Navigation tasks are a typical problem that is relevant to many real applications. They pose the challenge of requiring demonstrations of long trajectories to reach the target and only providing delayed rewards (usually terminal) to the agent. The experiments show that the proposed method can successfully learn navigation tasks from raw visual input while learning from experience methods fail to learn an effective policy. Moreover, it is shown that active learning can significantly improve the performance of the initially learned policy using a small number of active samples.

  11. Joint sparse learning for 3-D facial expression generation.

    Science.gov (United States)

    Song, Mingli; Tao, Dacheng; Sun, Shengpeng; Chen, Chun; Bu, Jiajun

    2013-08-01

    3-D facial expression generation, including synthesis and retargeting, has received intensive attentions in recent years, because it is important to produce realistic 3-D faces with specific expressions in modern film production and computer games. In this paper, we present joint sparse learning (JSL) to learn mapping functions and their respective inverses to model the relationship between the high-dimensional 3-D faces (of different expressions and identities) and their corresponding low-dimensional representations. Based on JSL, we can effectively and efficiently generate various expressions of a 3-D face by either synthesizing or retargeting. Furthermore, JSL is able to restore 3-D faces with holes by learning a mapping function between incomplete and intact data. Experimental results on a wide range of 3-D faces demonstrate the effectiveness of the proposed approach by comparing with representative ones in terms of quality, time cost, and robustness.

  12. The 3D LAOKOON--Visual and Verbal in 3D Online Learning Environments.

    Science.gov (United States)

    Liestol, Gunnar

    This paper reports on a project where three-dimensional (3D) online gaming environments were exploited for the purpose of academic communication and learning. 3D gaming environments are media and meaning rich and can provide inexpensive solutions for educational purposes. The experiment with teaching and discussions in this setting, however,…

  13. Web based Interactive 3D Learning Objects for Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Stefan Hesse

    2012-02-01

    Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

  14. Are Large Headquarters Unproductive? Evidence from a Panel of Japanese Companies (Japanese)

    OpenAIRE

    MORIKAWA Masayuki

    2014-01-01

    This paper, using large panel data of Japanese companies (2001-2011), empirically analyzes the determinants of the size of headquarters and their effect on productivity. Headquarters functions, the core service sector within companies, play important roles in supporting strategic decision making in modern companies. However, it is often advocated that the downsizing of headquarters improves organizational efficiency. The size of headquarters is closely related to the issue of centralization/d...

  15. M3D (Media 3D): a new programming language for web-based virtual reality in E-Learning and Edutainment

    Science.gov (United States)

    Chakaveh, Sepideh; Skaley, Detlef; Laine, Patricia; Haeger, Ralf; Maad, Soha

    2003-01-01

    Today, interactive multimedia educational systems are well established, as they prove useful instruments to enhance one's learning capabilities. Hitherto, the main difficulty with almost all E-Learning systems was latent in the rich media implementation techniques. This meant that each and every system should be created individually as reapplying the media, be it only a part, or the whole content was not directly possible, as everything must be applied mechanically i.e. by hand. Consequently making E-learning systems exceedingly expensive to generate, both in time and money terms. Media-3D or M3D is a new platform independent programming language, developed at the Fraunhofer Institute Media Communication to enable visualisation and simulation of E-Learning multimedia content. M3D is an XML-based language, which is capable of distinguishing between the3D models from that of the 3D scenes, as well as handling provisions for animations, within the programme. Here we give a technical account of M3D programming language and briefly describe two specific application scenarios where M3D is applied to create virtual reality E-Learning content for training of technical personnel.

  16. Selected DOE Headquarters publications received by the Energy Library

    International Nuclear Information System (INIS)

    1978-07-01

    This bibliography provides listings of (mainly policy and programmatic) publications issued from the U.S. Department of Energy, Washington, D.C. The listings are arranged by the ''report code'' assigned to the major organizations at DOE Headquarters, followed by the three categories of environmental reports issued from DOE Headquarters. All of the publications listed, except for those shown as still ''in preparation,'' may be seen in the Energy Library. A title index arranged by title keywords follows the listings. Certain publications have been omitted. They include such items as pamphlets, ''fact sheets,'' bulletins and weekly/monthly issuances of DOE's Energy Information Administration and Economic Regulatory Administration, and employee bulletins and newsletters. Omitted from the bibliography altogether are headquarters publications assigned other types of report codes--e.g., ''HCP'' (Headquarters Contractor Publication) and ''CONF''

  17. MNC Headquarters as Activity Systems

    DEFF Research Database (Denmark)

    Nell, Phillip C.; Larsen, Marcus M.

    2012-01-01

    Recent literature has questioned why multinational corporations (MNC) relocate their headquarters activities overseas. In this paper, we investigate the consequences of this phenomenon. To do this, we conceptualize the MNC headquarters activities as an interdependent system, and develop a set...... of propositions that links headquarters unbundling and relocation to complexity and rising coordination costs. Moreover, we argue that the coordination costs are often neglected in the headquarters reconfiguration process. In sum, we provide a novel perspective on modern MNC headquarters configurations, derive...

  18. Challenges in Strategy and Management of Multinational R&D Centers in Emerging Markets: Perspective from a German Headquarters in the Chemical Sector

    Directory of Open Access Journals (Sweden)

    Osmar Mitsuo Saito

    2013-03-01

    Full Text Available The expansion of multinational company (MNCs operations abroad represents an observed trend for decades. The news is that in recent years the research and development (R&D activities also have become internationalized, including more intensified focus on emerging countries. Among the implications is the challenge for the MNCs to implement effective organizational structures with the intention to facilitate the articulated coordination of strategies and R&D management between the headquarters and their global R&D centers. The purpose of this study is to evaluate the strategy from the perspective of the corporate headquarters of a multinational company and the challenges in the formulation of the global R&D strategy and management of each center located inemerging and developed markets. For this reason, we developed an empirical research based on qualitative multiple case exploratory study in a German chemical MNC company in its five global R&D centers located in Germany (headquarters, USA, Brazil, China and India. The results suggested the needs to creation of organizational management capabilities for constant re-evaluation of its R&D strategy in order to capture the demands and the temporary windows of opportunities from these markets. These capabilities lead to reducing the strong observed centralization level and assigning more responsibilities to the subsidiaries with global R&D center status.

  19. Creating Learning Environment Connecting Engineering Design and 3D Printing

    Science.gov (United States)

    Pikkarainen, Ari; Salminen, Antti; Piili, Heidi

    Engineering education in modern days require continuous development in didactics, pedagogics and used practical methods. 3D printing provides excellent opportunity to connect different engineering areas into practice and produce learning by doing applications. The 3D-printing technology used in this study is FDM (Fused deposition modeling). FDM is the most used 3D-printing technology by commercial numbers at the moment and the qualities of the technology makes it popular especially in academic environments. For achieving the best result possible, students will incorporate the principles of DFAM (Design for additive manufacturing) into their engineering design studies together with 3D printing. This paper presents a plan for creating learning environment for mechanical engineering students combining the aspects of engineering design, 3D-CAD learning and AM (additive manufacturing). As a result, process charts for carrying out the 3D printing process from technological point of view and design process for AM from engineering design point of view were created. These charts are used in engineering design education. The learning environment is developed to work also as a platform for Bachelor theses, work-training environment for students, prototyping service centre for cooperation partners and source of information for mechanical engineering education in Lapland University of Applied Sciences.

  20. Distance Learning for Students with Special Needs through 3D Virtual Learning

    Science.gov (United States)

    Laffey, James M.; Stichter, Janine; Galyen, Krista

    2014-01-01

    iSocial is a 3D Virtual Learning Environment (3D VLE) to develop social competency for students who have been identified with High-Functioning Autism Spectrum Disorders. The motivation for developing a 3D VLE is to improve access to special needs curriculum for students who live in rural or small school districts. The paper first describes a…

  1. 3D Game-Based Learning System for Improving Learning Achievement in Software Engineering Curriculum

    Science.gov (United States)

    Su,Chung-Ho; Cheng, Ching-Hsue

    2013-01-01

    The advancement of game-based learning has encouraged many related studies, such that students could better learn curriculum by 3-dimension virtual reality. To enhance software engineering learning, this paper develops a 3D game-based learning system to assist teaching and assess the students' motivation, satisfaction and learning achievement. A…

  2. ERDA Headquarters reports: March 1977

    International Nuclear Information System (INIS)

    1977-03-01

    ERDA headquarters reports (ERDA 77-41) provides a cumulative record, through various lists and an index, of the reports issued from ERDA Headquarters (''ERDA Reports''). The four sections of this publication are New ERDA Reports, a list of Headquarters reports received in the ERDA Library during the past month; Cumulative List of ERDA Reports, all ERDA Headquarters reports already issued or scheduled to be issued; Reports by Program Division, separate lists of ERDA reports arranged by the division or office at ERDA Headquarters responsible for their preparation and/or issuance; and Index to Keywords in Report Titles

  3. A 3D Geometry Model Search Engine to Support Learning

    Science.gov (United States)

    Tam, Gary K. L.; Lau, Rynson W. H.; Zhao, Jianmin

    2009-01-01

    Due to the popularity of 3D graphics in animation and games, usage of 3D geometry deformable models increases dramatically. Despite their growing importance, these models are difficult and time consuming to build. A distance learning system for the construction of these models could greatly facilitate students to learn and practice at different…

  4. 3D dictionary learning based iterative cone beam CT reconstruction

    Directory of Open Access Journals (Sweden)

    Ti Bai

    2014-03-01

    Full Text Available Purpose: This work is to develop a 3D dictionary learning based cone beam CT (CBCT reconstruction algorithm on graphic processing units (GPU to improve the quality of sparse-view CBCT reconstruction with high efficiency. Methods: A 3D dictionary containing 256 small volumes (atoms of 3 × 3 × 3 was trained from a large number of blocks extracted from a high quality volume image. On the basis, we utilized cholesky decomposition based orthogonal matching pursuit algorithm to find the sparse representation of each block. To accelerate the time-consuming sparse coding in the 3D case, we implemented the sparse coding in a parallel fashion by taking advantage of the tremendous computational power of GPU. Conjugate gradient least square algorithm was adopted to minimize the data fidelity term. Evaluations are performed based on a head-neck patient case. FDK reconstruction with full dataset of 364 projections is used as the reference. We compared the proposed 3D dictionary learning based method with tight frame (TF by performing reconstructions on a subset data of 121 projections. Results: Compared to TF based CBCT reconstruction that shows good overall performance, our experiments indicated that 3D dictionary learning based CBCT reconstruction is able to recover finer structures, remove more streaking artifacts and also induce less blocky artifacts. Conclusion: 3D dictionary learning based CBCT reconstruction algorithm is able to sense the structural information while suppress the noise, and hence to achieve high quality reconstruction under the case of sparse view. The GPU realization of the whole algorithm offers a significant efficiency enhancement, making this algorithm more feasible for potential clinical application.-------------------------------Cite this article as: Bai T, Yan H, Shi F, Jia X, Lou Y, Xu Q, Jiang S, Mou X. 3D dictionary learning based iterative cone beam CT reconstruction. Int J Cancer Ther Oncol 2014; 2(2:020240. DOI: 10

  5. Beyond Simple Headquarters Configurations

    DEFF Research Database (Denmark)

    Dellestrand, Henrik; Kappen, Philip; Nell, Phillip Christopher

    We investigate “dual headquarters involvement”, i.e. corporate and divisional headquarters’ simultaneous involvement in subsidiaries’ innovation development projects. Analyses draw on 85 innovation projects in 23 multibusiness firms and reveal that cross-divisional innovation importance, i.......e., an innovation that is important for the firm beyond the divisional boundaries, drives dual headquarters involvement in innovation development. Contrary to expectations, on average, a non-significant effect of cross-divisional embeddedness on dual headquarters involvement is found. Yet, both cross......-divisional importance and embeddedness effects are contingent on the overall complexity of the innovation project as signified by the size of the development network. The results lend support for the notion that parenting in complex structures entails complex headquarters structures and that we need to go beyond simple...

  6. Transfer of learning between 2D and 3D sources during infancy: Informing theory and practice.

    Science.gov (United States)

    Barr, Rachel

    2010-06-01

    The ability to transfer learning across contexts is an adaptive skill that develops rapidly during early childhood. Learning from television is a specific instance of transfer of learning between a 2-Dimensional (2D) representation and a 3-Dimensional (3D) object. Understanding the conditions under which young children might accomplish this particular kind of transfer is important because by 2 years of age 90% of US children are viewing television on a daily basis. Recent research shows that children can imitate actions presented on television using the corresponding real-world objects, but this same research also shows that children learn less from television than they do from live demonstrations until they are at least 3 years old; termed the video deficit effect. At present, there is no coherent theory to account for the video deficit effect; how learning is disrupted by this change in context is poorly understood. The aims of the present review are (1) to review the conditions under which children transfer learning between 2D images and 3D objects during early childhood, and (2) to integrate developmental theories of memory processing into the transfer of learning from media literature using Hayne's (2004) developmental representational flexibility account. The review will conclude that studies on the transfer of learning between 2D and 3D sources have important theoretical implications for general developmental theories of cognitive development, and in particular the development of a flexible representational system, as well as policy implications for early education regarding the potential use and limitations of media as effective teaching tools during early childhood.

  7. Real-time Stereoscopic 3D for E-Robotics Learning

    Directory of Open Access Journals (Sweden)

    Richard Y. Chiou

    2011-02-01

    Full Text Available Following the design and testing of a successful 3-Dimensional surveillance system, this 3D scheme has been implemented into online robotics learning at Drexel University. A real-time application, utilizing robot controllers, programmable logic controllers and sensors, has been developed in the “MET 205 Robotics and Mechatronics” class to provide the students with a better robotic education. The integration of the 3D system allows the students to precisely program the robot and execute functions remotely. Upon the students’ recommendation, polarization has been chosen to be the main platform behind the 3D robotic system. Stereoscopic calculations are carried out for calibration purposes to display the images with the highest possible comfort-level and 3D effect. The calculations are further validated by comparing the results with students’ evaluations. Due to the Internet-based feature, multiple clients have the opportunity to perform the online automation development. In the future, students, in different universities, will be able to cross-control robotic components of different types around the world. With the development of this 3D ERobotics interface, automation resources and robotic learning can be shared and enriched regardless of location.

  8. Pathways for Learning from 3D Technology

    Science.gov (United States)

    Carrier, L. Mark; Rab, Saira S.; Rosen, Larry D.; Vasquez, Ludivina; Cheever, Nancy A.

    2016-01-01

    The purpose of this study was to find out if 3D stereoscopic presentation of information in a movie format changes a viewer's experience of the movie content. Four possible pathways from 3D presentation to memory and learning were considered: a direct connection based on cognitive neuroscience research; a connection through "immersion" in that 3D presentations could provide additional sensorial cues (e.g., depth cues) that lead to a higher sense of being surrounded by the stimulus; a connection through general interest such that 3D presentation increases a viewer’s interest that leads to greater attention paid to the stimulus (e.g., "involvement"); and a connection through discomfort, with the 3D goggles causing discomfort that interferes with involvement and thus with memory. The memories of 396 participants who viewed two-dimensional (2D) or 3D movies at movie theaters in Southern California were tested. Within three days of viewing a movie, participants filled out an online anonymous questionnaire that queried them about their movie content memories, subjective movie-going experiences (including emotional reactions and "presence") and demographic backgrounds. The responses to the questionnaire were subjected to path analyses in which several different links between 3D presentation to memory (and other variables) were explored. The results showed there were no effects of 3D presentation, either directly or indirectly, upon memory. However, the largest effects of 3D presentation were on emotions and immersion, with 3D presentation leading to reduced positive emotions, increased negative emotions and lowered immersion, compared to 2D presentations. PMID:28078331

  9. Perceived Advantages of 3D Lessons in Constructive Learning for South African Student Teachers Encountering Learning Barriers

    Science.gov (United States)

    de Jager, Thelma

    2017-01-01

    Research shows that three-dimensional (3D)-animated lessons can contribute to student teachers' effective learning and comprehension, regardless of the learning barriers they experience. Student teachers majoring in the subject Life Sciences in General Subject Didactics viewed 3D images of the heart during lectures. The 3D images employed in the…

  10. 7 CFR 1726.150 - Headquarters buildings.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 11 2010-01-01 2010-01-01 false Headquarters buildings. 1726.150 Section 1726.150... AGRICULTURE ELECTRIC SYSTEM CONSTRUCTION POLICIES AND PROCEDURES Buildings § 1726.150 Headquarters buildings. This section includes headquarters buildings such as warehouses and equipment service type buildings...

  11. Dual Headquarters Involvement in Subsidiary Innovation

    DEFF Research Database (Denmark)

    Dellestrand, Henrik; Kappen, Philip; Nell, Phillip Christopher

    2014-01-01

    The strategy and international business literature has identified the overall potential for headquarters to add value by allocating resources to subsidiary activities, but little is known about the extent to which multiple headquarters simultaneously involves itself in subsidiary operations....... The current paper takes on this neglected question by empirically investigating corporate and divisional headquarters direct involvement in innovation development projects at the subsidiary level. Analyses that draw upon 85 innovation development projects in 23 multinational enterprises reveal that dual...... of the developing subsidiary positively moderates the two aforementioned effects on dual headquarters involvement in innovation development. The results lend support for the notion that parenting in complex structures entails complex headquarters structures. Thus, the results question simplistic views...

  12. 7 CFR 2610.2 - Headquarters organization.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 15 2010-01-01 2010-01-01 false Headquarters organization. 2610.2 Section 2610.2... OF AGRICULTURE ORGANIZATION, FUNCTIONS, AND DELEGATIONS OF AUTHORITY § 2610.2 Headquarters organization. (a) The OIG has a headquarters office in Washington, DC, and regional offices throughout the...

  13. Selected DOE headquarters publications, October 1979

    International Nuclear Information System (INIS)

    1981-03-01

    A cumulative listing of DOE headquarters publications issued since October 1979 is provided along with an index of title keywords. Three types of headquarters publications have been included: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations; reports prepared by contractors (and published by DOE headquarters) to describe research and development work they have performed for the department; and environmental development plans, environmental impact statements, and environmental readiness documents. Availabilities of documents are given

  14. Selected DOE headquarters publications, October 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1981-03-01

    A cumulative listing of DOE headquarters publications issued since October 1979 is provided along with an index of title keywords. Three types of headquarters publications have been included: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations; reports prepared by contractors (and published by DOE headquarters) to describe research and development work they have performed for the department; and environmental development plans, environmental impact statements, and environmental readiness documents. Availabilities of documents are given. (GHT)

  15. 7 CFR 2003.5 - Headquarters organization.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 15 2010-01-01 2010-01-01 false Headquarters organization. 2003.5 Section 2003.5...) ADMINISTRATIVE REGULATIONS ORGANIZATION Functional Organization of the Rural Development Mission Area § 2003.5 Headquarters organization. (a) The Rural Development Headquarters is comprised of: (1) The Office of the Under...

  16. Enhancement of Online Robotics Learning Using Real-Time 3D Visualization Technology

    Directory of Open Access Journals (Sweden)

    Richard Chiou

    2010-06-01

    Full Text Available This paper discusses a real-time e-Lab Learning system based on the integration of 3D visualization technology with a remote robotic laboratory. With the emergence and development of the Internet field, online learning is proving to play a significant role in the upcoming era. In an effort to enhance Internet-based learning of robotics and keep up with the rapid progression of technology, a 3- Dimensional scheme of viewing the robotic laboratory has been introduced in addition to the remote controlling of the robots. The uniqueness of the project lies in making this process Internet-based, and remote robot operated and visualized in 3D. This 3D system approach provides the students with a more realistic feel of the 3D robotic laboratory even though they are working remotely. As a result, the 3D visualization technology has been tested as part of a laboratory in the MET 205 Robotics and Mechatronics class and has received positive feedback by most of the students. This type of research has introduced a new level of realism and visual communications to online laboratory learning in a remote classroom.

  17. 17 CFR 140.1 - Headquarters office.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 1 2010-04-01 2010-04-01 false Headquarters office. 140.1..., FUNCTIONS, AND PROCEDURES OF THE COMMISSION Organization § 140.1 Headquarters office. (a) General. The headquarters office of the Commission is located at Three Lafayette Centre, 1155 21st Street, NW., Washington...

  18. Cabri 3D - assisted collaborative learning to enhance junior high school students’ spatial ability

    Science.gov (United States)

    Muntazhimah; Miatun, A.

    2018-01-01

    The main purpose of this quasi-experimental study was to determine the enhancement of spatial ability of junior high school students who learned through Cabri-3D assisted collaborative learning. The methodology of this study was the nonequivalent group that was conducted to students of the eighth grade in a junior high school as a population. Samples consisted one class of the experimental group who studied with Cabri-3D assisted collaborative learning and one class as a control group who got regular learning activity. The instrument used in this study was a spatial ability test. Analyzing normalized gain of students’ spatial ability based on mathemathical prior knowledge (MPK) and its interactions was tested by two-way ANOVA at a significance level of 5% then continued with using Post Hoc Scheffe test. The research results showed that there was significant difference in enhancement of the spatial ability between students who learnt with Cabri 3D assisted collaborative learning and students who got regular learning, there was significant difference in enhancement of the spatial ability between students who learnt with cabri 3D assisted collaborative learning and students who got regular learning in terms of MPK and there is no significant interaction between learning (Cabri-3D assisted collaborative learning and regular learning) with students’ MPK (high, medium, and low) toward the enhancement of students’ spatial abilities. From the above findings, it can be seen that cabri-3D assisted collaborative learning could enhance spatial ability of junior high school students.

  19. Selected DOE headquarters publications

    International Nuclear Information System (INIS)

    1979-04-01

    This publication provides listings of (mainly policy and programmatic) publications which have been issued by headquarters organizations of the Department of Energy; assigned a DOE/XXX- type report number code, where XXX is the 1- to 4-letter code for the issuing headquarters organization; received by the Energy Library; and made available to the public

  20. Learning to Grasp Unknown Objects Based on 3D Edge Information

    DEFF Research Database (Denmark)

    Bodenhagen, Leon; Kraft, Dirk; Popovic, Mila

    2010-01-01

    In this work we refine an initial grasping behavior based on 3D edge information by learning. Based on a set of autonomously generated evaluated grasps and relations between the semi-global 3D edges, a prediction function is learned that computes a likelihood for the success of a grasp using either...... an offline or an online learning scheme. Both methods are implemented using a hybrid artificial neural network containing standard nodes with a sigmoid activation function and nodes with a radial basis function. We show that a significant performance improvement can be achieved....

  1. GE3D: A Virtual Campus for Technology-Enhanced Distance Learning

    Directory of Open Access Journals (Sweden)

    Jean Grieu

    2010-09-01

    Full Text Available A lot of learning systems platforms are used all over the world. But these conventional E-learning platforms aim at students who are used to work on their own. Our students are young (19 years old – 22 years old, and in their first year at the university. Following extensive interviews with our students, we have designed GE3D, an E-learning platform, according to their expectations and our criteria. In this paper, we describe the students’ demands, resulting from the interviews. Then, we describe our virtual campus. Even if our platform uses some elements coming from the 3D games world, it is always a pedagogical tool. Using this technology, we developed a 3D representation of the real world. GE3D is a multi-users tool, with a synchronous technology, an intuitive interface for end-users and an embedded Intelligent Tutoring System to support learners. We also describe the process of a lecture on the Programmable Logic Controllers (PLC’s in this new universe.

  2. Web3D Technologies in Learning, Education and Training: Motivations, Issues, Opportunities

    Science.gov (United States)

    Chittaro, Luca; Ranon, Roberto

    2007-01-01

    Web3D open standards allow the delivery of interactive 3D virtual learning environments through the Internet, reaching potentially large numbers of learners worldwide, at any time. This paper introduces the educational use of virtual reality based on Web3D technologies. After briefly presenting the main Web3D technologies, we summarize the…

  3. Does Distance to Subsidiaries affect Headquarters Value Added?

    DEFF Research Database (Denmark)

    Nell, Phillip C.; Beugelsdijk, Sjoerd; Ambos, Björn

    2014-01-01

    How does distance between MNC headquarters and their subsidiaries affect the value added generated by headquarters? Integrating theories on spatial transaction costs with the headquarter view of the MNC, we link two types of distances, geographic distance and contextual distance, with headquarters...... value added. We test our hypotheses on an original dataset of 124 manufacturing subsidiaries in Europe. We find that the relation between distance and headquarters value added is conditional on the degree of subsidiaries’ external embeddedness. We find no direct effect of distance. The value added...... of headquarters is highest for subsidiaries that are not externally embedded in the host country and that operate at a large distance. It is lowest for locally responsive subsidiaries with high external embeddedness operating at a large distance. We discuss implications for the literature on headquarters-subsidiaries...

  4. Dual Headquarters Involvement in Multibusiness Firms

    DEFF Research Database (Denmark)

    Nell, Phillip Christopher; Kappen, Philip; Dellestrand, Henrik

    The strategy literature has shown that headquarters involve themselves into subsidiary operations to add value. Yet, little is known about the extent to which multiple headquarters do so. Therefore, we investigate antecedents of corporate and divisional headquarters’ involvement in innovation...... development projects of subsidiaries. Analyses of 85 innovation development projects reveal that dual innovation importance (innovation that is important for the division and the rest of the firm), and dual dual embeddedness (innovating subsidiary is embedded both within the division and in the rest...... of the firm) lead to greater dual headquarters involvement, especially when the innovation development network is large. The results contribute to the literature on complex parenting and theory of selective headquarters involvement....

  5. Selected DOE Headquarters publications, October 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

    This publication provides cumulative listings of and an index to DOE headquarters publications issued since October 1979. Three types of headquarters publications are included: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations, reports prepared by contractors to describe research and development work they have performed for the Department, and environmental development plans and impact statements. Such items as pamphlets, fact sheets, bulletins, newsletters, telephone directories, headquarters publications issued under the DOE-tr and CONF codes, technical reports from the Jet Propulsion Laboratory and NASA issued under DOE/JPL and DOE/NASA codes, and weekly/monthly reports of the Energy Information Administration are not included. (RWR)

  6. Teaching-learning: stereoscopic 3D versus Traditional methods in Mexico City.

    Science.gov (United States)

    Mendoza Oropeza, Laura; Ortiz Sánchez, Ricardo; Ojeda Villagómez, Raúl

    2015-01-01

    In the UNAM Faculty of Odontology, we use a stereoscopic 3D teaching method that has grown more common in the last year, which makes it important to know whether students can learn better with this strategy. The objective of the study is to know, if the 4th year students of the bachelor's degree in dentistry learn more effectively with the use of stereoscopic 3D than the traditional method in Orthodontics. first, we selected the course topics, to be used for both methods; the traditional method using projection of slides and for the stereoscopic third dimension, with the use of videos in digital stereo projection (seen through "passive" polarized 3D glasses). The main topic was supernumerary teeth, including and diverted from their guide eruption. Afterwards we performed an exam on students, containing 24 items, validated by expert judgment in Orthodontics teaching. The results of the data were compared between the two educational methods for determined effectiveness using the model before and after measurement with the statistical package SPSS 20 version. The results presented for the 9 groups of undergraduates in dentistry, were collected with a total of 218 students for 3D and traditional methods, we found in a traditional method a mean 4.91, SD 1.4752 in the pretest and X=6.96, SD 1.26622, St Error 0.12318 for the posttest. The 3D method had a mean 5.21, SD 1.996779 St Error 0.193036 for the pretest X= 7.82, SD =0.963963, St Error 0.09319 posttest; the analysis of Variance between groups F= 5.60 Prob > 0.0000 and Bartlett's test for equal variances 21.0640 Prob > chi2 = 0.007. These results show that the student's learning in 3D means a significant improvement as compared to the traditional teaching method and having a strong association between the two methods. The findings suggest that the stereoscopic 3D method lead to improved student learning compared to traditional teaching.

  7. 39 CFR 223.1 - Headquarters and areas.

    Science.gov (United States)

    2010-07-01

    ... 39 Postal Service 1 2010-07-01 2010-07-01 false Headquarters and areas. 223.1 Section 223.1 Postal Service UNITED STATES POSTAL SERVICE ORGANIZATION AND ADMINISTRATION RELATIONSHIPS AND COMMUNICATION CHANNELS § 223.1 Headquarters and areas. Headquarters provides policy guidance, procedures, and...

  8. 3D Virtual Learning Environments in Education: A Meta-Review

    Science.gov (United States)

    Reisoglu, I.; Topu, B.; Yilmaz, R.; Karakus Yilmaz, T.; Göktas, Y.

    2017-01-01

    The aim of this study is to investigate recent empirical research studies about 3D virtual learning environments. A total of 167 empirical studies that involve the use of 3D virtual worlds in education were examined by meta-review. Our findings show that the "Second Life" platform has been frequently used in studies. Among the reviewed…

  9. Blended learning in dentistry: 3-D resources for inquiry-based learning

    Directory of Open Access Journals (Sweden)

    Susan Bridges

    2012-06-01

    Full Text Available Motivation is an important factor for inquiry-based learning, so creative design of learning resources and materials is critical to enhance students’ motivation and hence their cognition. Modern dentistry is moving towards “electronic patient records” for both clinical treatment and teaching. Study models have long been an essential part of dental records. Traditional plaster casts are, however, among the last type of clinical record in the dental field to be converted into digital media as virtual models. Advantages of virtual models include: simpler storage; reduced risk of damage, disappearance, or misplacement; simpler and effective measuring; and easy transferal to colleagues. In order to support student engagement with the rapidly changing world of digital dentistry, and in order to stimulate the students’ motivation and depth of inquiry, this project aims to introduce virtual models into a Bachelor and Dental Surgery (BDS curriculum. Under a “blended” e-learning philosophy, students are first introduced to the new software then 3-D models are incorporated into inquiry-based problems as stimulus materials. Face-to-face tutorials blend virtual model access via interactive whiteboards (IWBs. Students’ perceptions of virtual models including motivation and cognition as well as the virtual models’ functionality were rated after a workshop introducing virtual models and plaster models in parallel. Initial student feedback indicates that the 3-D models have been generally well accepted, which confirmed the functionality of the programme and the positive perception of virtual models for enhancing students’ learning motivation. Further investigation will be carried out to assess the impact of virtual models on students’ learning outcomes.

  10. Organizational Learning Goes Virtual?: A Study of Employees' Learning Achievement in Stereoscopic 3D Virtual Reality

    Science.gov (United States)

    Lau, Kung Wong

    2015-01-01

    Purpose: This study aims to deepen understanding of the use of stereoscopic 3D technology (stereo3D) in facilitating organizational learning. The emergence of advanced virtual technologies, in particular to the stereo3D virtual reality, has fundamentally changed the ways in which organizations train their employees. However, in academic or…

  11. Activation of dopamine D3 receptors inhibits reward-related learning induced by cocaine.

    Science.gov (United States)

    Kong, H; Kuang, W; Li, S; Xu, M

    2011-03-10

    Memories of learned associations between the rewarding properties of drugs and environmental cues contribute to craving and relapse in humans. The mesocorticolimbic dopamine (DA) system is involved in reward-related learning induced by drugs of abuse. DA D3 receptors are preferentially expressed in mesocorticolimbic DA projection areas. Genetic and pharmacological studies have shown that DA D3 receptors suppress locomotor-stimulant effects of cocaine and reinstatement of cocaine-seeking behaviors. Activation of the extracellular signal-regulated kinase (ERK) induced by acute cocaine administration is also inhibited by D3 receptors. How D3 receptors modulate cocaine-induced reward-related learning and associated changes in cell signaling in reward circuits in the brain, however, have not been fully investigated. In the present study, we show that D3 receptor mutant mice exhibit potentiated acquisition of conditioned place preference (CPP) at low doses of cocaine compared to wild-type mice. Activation of ERK and CaMKIIα, but not the c-Jun N-terminal kinase and p38, in the nucleus accumbens, amygdala and prefrontal cortex is also potentiated in D3 receptor mutant mice compared to that in wild-type mice following CPP expression. These results support a model in which D3 receptors modulate reward-related learning induced by low doses of cocaine by inhibiting activation of ERK and CaMKIIα in reward circuits in the brain. Copyright © 2011 IBRO. Published by Elsevier Ltd. All rights reserved.

  12. Reduced Mental Load in Learning a Motor Visual Task with Virtual 3D Method

    Science.gov (United States)

    Dan, A.; Reiner, M.

    2018-01-01

    Distance learning is expanding rapidly, fueled by the novel technologies for shared recorded teaching sessions on the Web. Here, we ask whether 3D stereoscopic (3DS) virtual learning environment teaching sessions are more compelling than typical two-dimensional (2D) video sessions and whether this type of teaching results in superior learning. The…

  13. 2.5D/3D Models for the enhancement of architectural-urban heritage. An Virtual Tour of design of the Fascist headquarters in Littoria

    Science.gov (United States)

    Ippoliti, E.; Calvano, M.; Mores, L.

    2014-05-01

    Enhancement of cultural heritage is not simply a matter of preserving material objects but comes full circle only when the heritage can be enjoyed and used by the community. This is the rationale behind this presentation: an urban Virtual Tour to explore the 1937 design of the Fascist Headquarters in Littoria, now part of Latina, by the architect Oriolo Frezzotti. Although the application is deliberately "simple", it was part of a much broader framework of goals. One such goal was to create "friendly and perceptively meaningful" interfaces by integrating different "3D models" and so enriching. In fact, by exploiting the activation of natural mechanisms of visual perception and the ensuing emotional emphasis associated with vision, the illusionistic simulation of the scene facilitates access to the data even for "amateur" users. A second goal was to "contextualise the information" on which the concept of cultural heritage is based. In the application, communication of the heritage is linked to its physical and linguistic context; the latter is then used as a basis from which to set out to explore and understand the historical evidence. A third goal was to foster the widespread dissemination and sharing of this heritage of knowledge. On the one hand we worked to make the application usable from the Web, on the other, we established a reliable, rapid operational procedure with high quality processed data and ensuing contents. The procedure was also repeatable on a large scale.

  14. Comparing 2D and 3D Game-Based Learning Environments in Terms of Learning Gains and Student Perceptions

    Science.gov (United States)

    Ak, Oguz; Kutlu, Birgul

    2017-01-01

    The aim of this study was to investigate the effectiveness of traditional, 2D and 3D game-based environments assessed by student achievement scores and to reveal student perceptions of the value of these learning environments. A total of 60 university students from the Faculty of Education who were registered in three sections of a required…

  15. Selected DOE Headquarters publications, October 1979-

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-11-01

    This publication provides a cumulative listing of and an index to DOE headquarters publications issued since October 1979. (Publications issued during October 1977 to September 1979 are covered in DOE/AD-0010/6.) Three types of headquarters publications are included: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations, reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department, and environmental development plans, environmental impact statements, and environmental readiness documents. Certain publications have been omitted. They include such items as pamphlets, fact sheets, bulletins, newsletters, and telephone directories. Also omitted are weekly/monthly reports of the Energy Information Administration and headquarters publications issued under the DOE-tr and CONF codes. (RWR)

  16. D.3.2 PLOT Persuasive Learning Design Framework

    DEFF Research Database (Denmark)

    Gram-Hansen, Sandra Burri; Schärfe, Henrik; Winther-Nielsen, Nicolai

    2011-01-01

    of the technological learning tools and products which are currently related to the PLOT project, namely the GLOMaker and the 3ET tool, and a selection of GLOs and learning exercises. The primary focus of the analysis is to explore how the theoretical perspectives presented in D.3.1 are represented in these tools...... as an: ‚Internal report for project use containing an empirically-based assessment of existing systems and their potential in terms of learning and persuasion. This will be used as a discussion document by the consortium.‛ To meet the requirements of this deliverable, this documents presents analysis......, in particular the notions of persuasive design and constructive alignment. Whilst the report provides a persuasive design perspective on the technologies related to Euro PLOT, it must be stressed that if the document is to function as a basis for further discussion within the consortium, the partners...

  17. 3D interactive augmented reality-enhanced digital learning systems for mobile devices

    Science.gov (United States)

    Feng, Kai-Ten; Tseng, Po-Hsuan; Chiu, Pei-Shuan; Yang, Jia-Lin; Chiu, Chun-Jie

    2013-03-01

    With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

  18. Legitimacy Dynamics in Headquarters-Subsidiary Relationships

    DEFF Research Database (Denmark)

    Gammelgaard, Jens; Kumar, Rajesh

    The relationship between multinational enterprises’ (MNE) headquarters and their subsidiaries has been of considerable interest to international business scholars (e.g., Dörrenbächer and Geppert, 2009). Although a subsidiary is an integral part of an MNE, its interests do not necessarily converge...... with those of headquarters. Many scholars note that relationships between headquarters and subsidiaries are characterized by the simultaneous presence of cooperation and competition (e.g., Bouquet and Birkinshaw, 2008; Otterbeck, 1981). On the one hand, the subsidiary and its managers are dependent...... on headquarters’ resources to fulfill its mandate. On the other hand, the subsidiary and its managers have their own particular goals, which may or may not coincide with the goals of headquarters and its managers. Subsidiary managers may also seek to develop the unit’s own sense of identity, which may...

  19. Selected DOE Headquarters Publications, October 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-09-01

    This publication provides cumulative listings of and an index to DOE headquarters publications issued since October 1979. (Publications issued during October 1977-September 1979 are covered in DOE/AD-0010/6.) Three types of headquarters publications are included: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations, reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department, and environmental development plans and impact statements. Certain publications have been omitted. They include such items as pamphlets, fact sheets, bulletins, newsletters, and telephone directories, headquarters publications issued under the DOE-tr and CONF codes, technical reports from the Jet Propulsion Laboratory and NASA issued under DOE/JPL and DOE/NASA codes, and weekly/monthly reports of the Energy Information Administration. (RWR)

  20. Impact of the 3-D model strategy on science learning of the solar system

    Science.gov (United States)

    Alharbi, Mohammed

    The purpose of this mixed method study, quantitative and descriptive, was to determine whether the first-middle grade (seventh grade) students at Saudi schools are able to learn and use the Autodesk Maya software to interact and create their own 3-D models and animations and whether their use of the software influences their study habits and their understanding of the school subject matter. The study revealed that there is value to the science students regarding the use of 3-D software to create 3-D models to complete science assignments. Also, this study aimed to address the middle-school students' ability to learn 3-D software in art class, and then ultimately use it in their science class. The success of this study may open the way to consider the impact of 3-D modeling on other school subjects, such as mathematics, art, and geography. When the students start using graphic design, including 3-D software, at a young age, they tend to develop personal creativity and skills. The success of this study, if applied in schools, will provide the community with skillful young designers and increase awareness of graphic design and the new 3-D technology. Experimental method was used to answer the quantitative research question, are there significant differences applying the learning method using 3-D models (no 3-D, premade 3-D, and create 3-D) in a science class being taught about the solar system and its impact on the students' science achievement scores? Descriptive method was used to answer the qualitative research questions that are about the difficulty of learning and using Autodesk Maya software, time that students take to use the basic levels of Polygon and Animation parts of the Autodesk Maya software, and level of students' work quality.

  1. The 3D Digital Story-telling Media on Batik Learning in Vocational High Schools

    Science.gov (United States)

    Widiaty, I.; Achdiani, Y.; Kuntadi, I.; Mubaroq, S. R.; Zakaria, D.

    2018-02-01

    The aim of this research is to make 3D digital Story-telling Media on Batik Learning in Vocational High School. The digital story-telling developed in this research is focused on 3D-based story-telling. In contrast to the digital story-telling that has been developed in existing learning, this research is expected to be able to improve understanding of vocational students about the value of local wisdom batik more meaningful and “live”. The process of making 3D digital story-telling media consists of two processes, namely the creation of 3D objects and the creation of 3D object viewer.

  2. Assessing 3D Virtual World Disaster Training Through Adult Learning Theory

    Directory of Open Access Journals (Sweden)

    Lee Taylor-Nelms

    2014-10-01

    Full Text Available As role-play, virtual reality, and simulated environments gain popularity through virtual worlds such as Second Life, the importance of identifying best practices for education and emergency management training becomes necessary. Using a formal needs assessment approach, we examined the extent to which 3D virtual tornado simulation trainings follow the principles of adult learning theory employed by the Federal Emergency Management Agency's (FEMA National Training and Education Division. Through a three-fold methodology of observation, interviews, and reflection on action, 3D virtual world tornado trainings were analyzed for congruence to adult learning theory.

  3. Use of Colour and Interactive Animation in Learning 3D Vectors

    Science.gov (United States)

    Iskander, Wejdan; Curtis, Sharon

    2005-01-01

    This study investigated the effects of two computer-implemented techniques (colour and interactive animation) on learning 3D vectors. The participants were 43 female Saudi Arabian high school students. They were pre-tested on 3D vectors using a paper questionnaire that consisted of calculation and visualization types of questions. The students…

  4. 39 CFR 221.5 - Headquarters organization.

    Science.gov (United States)

    2010-07-01

    ... 39 Postal Service 1 2010-07-01 2010-07-01 false Headquarters organization. 221.5 Section 221.5 Postal Service UNITED STATES POSTAL SERVICE ORGANIZATION AND ADMINISTRATION GENERAL ORGANIZATION § 221.5 Headquarters organization. (a) Postmaster General—(1) Appointment. The postmaster general (PMG), the chief...

  5. Selected DOE headquarters publications, October 1979

    International Nuclear Information System (INIS)

    1981-01-01

    The publication provides cumulative listings of and an index to DOE headquarters publications issued since October 1979. Publications issued during October 1977 to September 1979 are covered in DOE/AD-0010/6. Publications from 26 headquarters offices are presented and consist of three types: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations; reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department under 01-type contracts; and environmental development plans, impact statements, and readiness documents. Availability of the documents is described

  6. Selected DOE headquarters publications, October 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1981-01-01

    The publication provides cumulative listings of and an index to DOE headquarters publications issued since October 1979. Publications issued during October 1977 to September 1979 are covered in DOE/AD-0010/6. Publications from 26 headquarters offices are presented and consist of three types: publications dealing mainly with program and policy that are attributed to and issued by headquarters organizations; reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department under 01-type contracts; and environmental development plans, impact statements, and readiness documents. Availability of the documents is described.

  7. Longview District Operations and Maintenance Headquarters: Environmental assessment

    International Nuclear Information System (INIS)

    1992-03-01

    Bonneville Power Administration (BPA) operations and maintenance staff are presently based at a headquarters next to the Longview Substation. These headquarters buildings, however, were built in 1941 and have deteriorated to the point of needing extensive repair. They also lack sufficient inside storage space. New buildings cannot be constructed on the site because of surrounding development. In addition, the site is within an area exposed to industrial fallout (coal tar pitch and metallic particles) that may be damaging buildings, equipment, and vehicles. BPA is concerned about the potential health risk to headquarters staff from the fallout. In light of these problems, BPA proposes to construct a new operations and maintenance headquarters at a different location, and to demolish the existing headquarters. This paper discusses the environmental impacts of the proposed action and alternatives

  8. Learning process for performing and analyzing 3D/4D transperineal ultrasound imaging and interobserver reliability study.

    Science.gov (United States)

    Siafarikas, F; Staer-Jensen, J; Braekken, I H; Bø, K; Engh, M Ellström

    2013-03-01

    To evaluate the learning process for acquiring three- and four-dimensional (3D/4D) transperineal ultrasound volumes of the levator hiatus (LH) dimensions at rest, during pelvic floor muscle (PFM) contraction and on Valsalva maneuver, and for analyzing the ultrasound volumes, as well as to perform an interobserver reliability study between two independent ultrasound examiners. This was a prospective study including 22 women. We monitored the learning process of an inexperienced examiner (IE) performing 3D/4D transperineal ultrasonography and analyzing the volumes. The examination included acquiring volumes during three PFM contractions and three Valsalva maneuvers. LH dimensions were determined in the axial plane. The learning process was documented by estimating agreement between the IE and an experienced examiner (E) using the intraclass correlation coefficient. Agreement was calculated in blocks of 10 ultrasound examinations and analyzed volumes. After the learning process was complete the interobserver reliability for the technique was calculated between these two independent examiners. For offline analysis of the first 10 ultrasound volumes obtained by E, good to very good agreement between E and IE was achieved for all LH measurements except for the left and right levator-urethra gap and pubic arc. For the next 10 analyzed volumes, agreement improved for all LH measurements. Volumes that had been obtained by IE and E were then re-evaluated by IE, and good to very good agreement was found for all LH measurements indicating consistency in volume acquisition. The interobserver reliability study showed excellent ICC values (ICC, 0.81-0.97) for all LH measurements except the pubic arc (ICC = 0.67). 3D/4D transperineal ultrasound is a reliable technique that can be learned in a short period of time. Copyright © 2012 ISUOG. Published by John Wiley & Sons, Ltd.

  9. Headquarters Vienna

    International Nuclear Information System (INIS)

    1985-01-01

    This film presents the IAEA safeguards system showing six inspectors at their work in the nuclear power plants Kozloduy (Bulgaria), Mihama (Japan) as well as in the reprocessing plant La Hague (France). The results of inspections are checked at the IAEA Headquarters in Vienna. The film shows all modern techniques applied in the IAEA safeguards system

  10. Headquarters Vienna

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1986-12-31

    This film presents the IAEA safeguards system showing six inspectors at their work in the nuclear power plants Kozloduy (Bulgaria), Mihama (Japan) as well as in the reprocessing plant La Hague (France). The results of inspections are checked at the IAEA Headquarters in Vienna. The film shows all modern techniques applied in the IAEA safeguards system

  11. Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images

    Science.gov (United States)

    Zhou, Xiangrong; Yamada, Kazuma; Kojima, Takuya; Takayama, Ryosuke; Wang, Song; Zhou, Xinxin; Hara, Takeshi; Fujita, Hiroshi

    2018-02-01

    The purpose of this study is to evaluate and compare the performance of modern deep learning techniques for automatically recognizing and segmenting multiple organ regions on 3D CT images. CT image segmentation is one of the important task in medical image analysis and is still very challenging. Deep learning approaches have demonstrated the capability of scene recognition and semantic segmentation on nature images and have been used to address segmentation problems of medical images. Although several works showed promising results of CT image segmentation by using deep learning approaches, there is no comprehensive evaluation of segmentation performance of the deep learning on segmenting multiple organs on different portions of CT scans. In this paper, we evaluated and compared the segmentation performance of two different deep learning approaches that used 2D- and 3D deep convolutional neural networks (CNN) without- and with a pre-processing step. A conventional approach that presents the state-of-the-art performance of CT image segmentation without deep learning was also used for comparison. A dataset that includes 240 CT images scanned on different portions of human bodies was used for performance evaluation. The maximum number of 17 types of organ regions in each CT scan were segmented automatically and compared to the human annotations by using ratio of intersection over union (IU) as the criterion. The experimental results demonstrated the IUs of the segmentation results had a mean value of 79% and 67% by averaging 17 types of organs that segmented by a 3D- and 2D deep CNN, respectively. All the results of the deep learning approaches showed a better accuracy and robustness than the conventional segmentation method that used probabilistic atlas and graph-cut methods. The effectiveness and the usefulness of deep learning approaches were demonstrated for solving multiple organs segmentation problem on 3D CT images.

  12. Immersive Learning Environment Using 3D Virtual Worlds and Integrated Remote Experimentation

    Directory of Open Access Journals (Sweden)

    Roderval Marcelino

    2013-01-01

    Full Text Available This project seeks to demonstrate the use of remote experimentation and 3D virtual environments applied to the teaching-learning in the areas of exact sciences-physics. In proposing the combination of remote experimentation and 3D virtual worlds in teaching-learning process, we intend to achieve greater geographic coverage, contributing to the construction of new methodologies of teaching support, speed of access and foremost motivation for students to continue in scientific study of the technology areas. The proposed architecture is based on a model implemented fully featured open source and open hardware. The virtual world was built in OpenSim software and integrated it a remote physics experiment called "electrical panel". Accessing the virtual world the user has total control of the experiment within the 3D virtual world.

  13. Navigation and wayfinding in learning spaces in 3D virtual worlds

    OpenAIRE

    Minocha, Shailey; Hardy, Christopher

    2016-01-01

    There is a lack of published research on the design guidelines of learning spaces in virtual worlds. Therefore, when institutions aspire to create learning spaces in Second Life, there are few studies or guidelines to inform them except for individual case studies. The Design of Learning Spaces in 3D Virtual Environments (DELVE) project, funded by the Joint Information Systems Committee in the UK, was one of the first initiatives that identified through empirical investigations the usability ...

  14. Enhancement of Online Robotics Learning Using Real-Time 3D Visualization Technology

    OpenAIRE

    Richard Chiou; Yongjin (james) Kwon; Tzu-Liang (bill) Tseng; Robin Kizirian; Yueh-Ting Yang

    2010-01-01

    This paper discusses a real-time e-Lab Learning system based on the integration of 3D visualization technology with a remote robotic laboratory. With the emergence and development of the Internet field, online learning is proving to play a significant role in the upcoming era. In an effort to enhance Internet-based learning of robotics and keep up with the rapid progression of technology, a 3- Dimensional scheme of viewing the robotic laboratory has been introduced in addition to the remote c...

  15. Stimulating Sustainability in Multinational Companies: the Significance of Regional Headquarters

    Directory of Open Access Journals (Sweden)

    Andreas G. M. NACHBAGAUER

    2016-06-01

    Full Text Available Recently, regional headquarters have gained practical importance and theoretical attention. Traditionally considered a mere transmission facility to manage complex organisations, advanced approaches, however, locate regional headquarters in a field of tension between hierarchical integration and strategic independence. Given the growing concern for global responsibility, stimulating sustainability also and particularly addresses regional headquarters. This conceptual article combines the call for sustainability with the upcoming importance of regional headquarters: which contributions can the regional headquarters of a multinational company deliver to stimulate the development of sustainable corporate strategy and operations? The main topics are the effects different versions of embedding regional headquarters into the corporate context have on opportunities to implement sustainability policies: Are there different chances for successful implementation depending on the strategic setup of the company? Does the distribution of competences matter? Which types of interaction between headquarters and branch are suitable to introduce sustainability sustainably? Is the mix of national contexts of headquarters and branch of importance? First results show that depending on the companywide strategy, and especially on the structure and distribution of competences, regional headquarters can play a significant role as trigger of sustainability. The literature favours strong involvement and large autonomy of both branches as well as regional headquarters for the development and management of sustainability. The parts of the company involved in a critical environment often are the starting point of sustainability policies.

  16. Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval.

    Science.gov (United States)

    Dai, Guoxian; Xie, Jin; Fang, Yi

    2018-07-01

    How to effectively retrieve desired 3D models with simple queries is a long-standing problem in computer vision community. The model-based approach is quite straightforward but nontrivial, since people could not always have the desired 3D query model available by side. Recently, large amounts of wide-screen electronic devices are prevail in our daily lives, which makes the sketch-based 3D shape retrieval a promising candidate due to its simpleness and efficiency. The main challenge of sketch-based approach is the huge modality gap between sketch and 3D shape. In this paper, we proposed a novel deep correlated holistic metric learning (DCHML) method to mitigate the discrepancy between sketch and 3D shape domains. The proposed DCHML trains two distinct deep neural networks (one for each domain) jointly, which learns two deep nonlinear transformations to map features from both domains into a new feature space. The proposed loss, including discriminative loss and correlation loss, aims to increase the discrimination of features within each domain as well as the correlation between different domains. In the new feature space, the discriminative loss minimizes the intra-class distance of the deep transformed features and maximizes the inter-class distance of the deep transformed features to a large margin within each domain, while the correlation loss focused on mitigating the distribution discrepancy across different domains. Different from existing deep metric learning methods only with loss at the output layer, our proposed DCHML is trained with loss at both hidden layer and output layer to further improve the performance by encouraging features in the hidden layer also with desired properties. Our proposed method is evaluated on three benchmarks, including 3D Shape Retrieval Contest 2013, 2014, and 2016 benchmarks, and the experimental results demonstrate the superiority of our proposed method over the state-of-the-art methods.

  17. Assessing the Applicability of 3D Holographic Technology as an Enhanced Technology for Distance Learning

    Directory of Open Access Journals (Sweden)

    Pradeep Kalansooriya

    2015-08-01

    Full Text Available Distance learning has provided an excellent platform for students in geographically remote locations while enabling them to learn at their own pace and convenience. A number of technologies are currently being utilized to conceptualize, design, enhance and foster distance learning. Teleconferences, electronic field trips, podcasts, webinars, video conferencing and online courses are among such technologies used in providing distance learning opportunities. However limitations in those existing technologies have affected to the increase of distance learners dropout rates. As an attempt to overcome the limitations in the currently adopted distance learning practices, the study aims to utilize 3D Hologram Technology (3DHT in the Engineering discipline. 3D hologram facilitates live and life size 3D telepresence that can interact with remote audiences. A survey had been conducted, using Delphi Technique to gather data from the experts in the field to evaluate the potential of 3DHT over existing technologies. Results of the survey suggested that 3DHT as a good distance learning technology and have the potential of overcoming existing limitations. Lack of infrastructure, High initial cost of infrastructure and Lack of technical know how are the main encounters identified by the experts in the sample. It is expected to develop a classroom environment with 3DHT and to evaluate its effectiveness for the distance learning in the next stage of the study.

  18. Game-Like Language Learning in 3-D Virtual Environments

    Science.gov (United States)

    Berns, Anke; Gonzalez-Pardo, Antonio; Camacho, David

    2013-01-01

    This paper presents our recent experiences with the design of game-like applications in 3-D virtual environments as well as its impact on student motivation and learning. Therefore our paper starts with a brief analysis of the motivational aspects of videogames and virtual worlds (VWs). We then go on to explore the possible benefits of both in the…

  19. A Collaborative Virtual Environment for Situated Language Learning Using VEC3D

    Science.gov (United States)

    Shih, Ya-Chun; Yang, Mau-Tsuen

    2008-01-01

    A 3D virtually synchronous communication architecture for situated language learning has been designed to foster communicative competence among undergraduate students who have studied English as a foreign language (EFL). We present an innovative approach that offers better e-learning than the previous virtual reality educational applications. The…

  20. How do Regional Headquarters Influence Corporate Decisions in Networked MNCs?

    DEFF Research Database (Denmark)

    Mahnke, Volker; Ambos, Björn; Nell, Phillip Christopher

    2012-01-01

    In networked MNCs where knowledge and power are distributed, corporate strategy processes benefit from input arising from many different levels of the organization. Recently, the regional (i.e., supra-national) level has been emphasized as an important additional source of knowledge and input......, and as a bridge between local subsidiaries and global corporate headquarters. This paper builds theory on the antecedents to regional headquarters' influence on corporate decisions (i.e., organizational, behavioral, and motivational). Based on a survey of regional headquarters in Europe and their relations...... with MNC headquarters, we provide empirical evidence that a regional headquarters' autonomy and signaling behavior have significant effects on its influence on corporate strategy. Furthermore, we find support for our hypothesis that the regional headquarters' charter moderates such bottom–up influence....

  1. Facilitating role of 3D multimodal visualization and learning rehearsal in memory recall.

    Science.gov (United States)

    Do, Phuong T; Moreland, John R

    2014-04-01

    The present study investigated the influence of 3D multimodal visualization and learning rehearsal on memory recall. Participants (N = 175 college students ranging from 21 to 25 years) were assigned to different training conditions and rehearsal processes to learn a list of 14 terms associated with construction of a wood-frame house. They then completed a memory test determining their cognitive ability to free recall the definitions of the 14 studied terms immediately after training and rehearsal. The audiovisual modality training condition was associated with the highest accuracy, and the visual- and auditory-modality conditions with lower accuracy rates. The no-training condition indicated little learning acquisition. A statistically significant increase in performance accuracy for the audiovisual condition as a function of rehearsal suggested the relative importance of rehearsal strategies in 3D observational learning. Findings revealed the potential application of integrating virtual reality and cognitive sciences to enhance learning and teaching effectiveness.

  2. USAFRICOM Headquarters: The Complexity of Moving the Headquarters to the Continent of Africa and its Impact on the Army’s Organizational Design and Operational Approach

    Science.gov (United States)

    2016-06-10

    partners: 1. Somalia–fighting piracy 2. South Africa–diplomatic relations 6 3. Liberia –fighting Ebola /UN mission 4. Nigeria–Boko Haram threat...offices to address issues on the continent.9 Liberia was one of the few countries 18 considered that welcomed the presence of a headquarters in their...only small countries like Liberia welcome a headquarters in Africa, while the larger countries do not welcome the idea. However, there has not been

  3. Dopamine D1/D5, but not D2/D3, receptor dependency of synaptic plasticity at hippocampal mossy fiber synapses that is enabled by patterned afferent stimulation, or spatial learning

    Directory of Open Access Journals (Sweden)

    Hardy Hagena

    2016-09-01

    Full Text Available Although the mossy fiber (MF synapses of the hippocampal CA3 region display quite distinct properties in terms of the molecular mechanisms that underlie synaptic plasticity, they nonetheless exhibit persistent (>24h synaptic plasticity that is akin to that observed at the Schaffer collateral (SCH-CA1 and perforant path (PP-dentate gyrus (DG synapses of freely behaving rats. In addition, they also respond to novel spatial learning with very enduring forms of long-term potentiation (LTP and long-term depression (LTD. These latter forms of synaptic plasticity are directly related to the learning behavior: novel exploration of generalized changes in space facilitates the expression of LTP at MF-CA3 synapses, whereas exploration of novel configurations of large environmental features facilitates the expression of LTD. In the absence of spatial novelty, synaptic plasticity is not expressed. Motivation is a potent determinant of whether learning about spatial experience effectively occurs and the neuromodulator dopamine plays a key role in motivation-based learning. Prior research on the regulation by dopamine receptors of long-term synaptic plasticity in CA1 and dentate gyrus synapses in vivo suggests that whereas D2/D3 receptors may modulate a general predisposition toward expressing plasticity, D1/D5 receptors may directly regulate the direction of change in synaptic strength that occurs during learning. Although the CA3 region is believed to play a pivotal role in many forms of learning, the role of these receptors in persistent (>24h forms of synaptic plasticity at MF-CA3 synapses is unknown. Here, we report that whereas pharmacological antagonism of D2/D3 receptors had no impact on LTP or LTD, antagonism of D1/D5 receptors significantly impaired LTP and LTD that were induced by solely by means of patterned afferent stimulation, or LTP/LTD that are typically enhanced by the conjunction of afferent stimulation and novel spatial learning. These data

  4. American Red Cross Headquarters

    Data.gov (United States)

    Department of Homeland Security — This point file represents only the headquarters location for each chapter and does not reflect any branch offices or warehouse facilities. Due to the recent changes...

  5. Use of 3D printed models in medical education: A randomized control trial comparing 3D prints versus cadaveric materials for learning external cardiac anatomy.

    Science.gov (United States)

    Lim, Kah Heng Alexander; Loo, Zhou Yaw; Goldie, Stephen J; Adams, Justin W; McMenamin, Paul G

    2016-05-06

    Three-dimensional (3D) printing is an emerging technology capable of readily producing accurate anatomical models, however, evidence for the use of 3D prints in medical education remains limited. A study was performed to assess their effectiveness against cadaveric materials for learning external cardiac anatomy. A double blind randomized controlled trial was undertaken on undergraduate medical students without prior formal cardiac anatomy teaching. Following a pre-test examining baseline external cardiac anatomy knowledge, participants were randomly assigned to three groups who underwent self-directed learning sessions using either cadaveric materials, 3D prints, or a combination of cadaveric materials/3D prints (combined materials). Participants were then subjected to a post-test written by a third party. Fifty-two participants completed the trial; 18 using cadaveric materials, 16 using 3D models, and 18 using combined materials. Age and time since completion of high school were equally distributed between groups. Pre-test scores were not significantly different (P = 0.231), however, post-test scores were significantly higher for 3D prints group compared to the cadaveric materials or combined materials groups (mean of 60.83% vs. 44.81% and 44.62%, P = 0.010, adjusted P = 0.012). A significant improvement in test scores was detected for the 3D prints group (P = 0.003) but not for the other two groups. The finding of this pilot study suggests that use of 3D prints do not disadvantage students relative to cadaveric materials; maximally, results suggest that 3D may confer certain benefits to anatomy learning and supports their use and ongoing evaluation as supplements to cadaver-based curriculums. Anat Sci Educ 9: 213-221. © 2015 American Association of Anatomists. © 2015 American Association of Anatomists.

  6. Fortune 500 Corporate Headquarters

    Data.gov (United States)

    Department of Homeland Security — Large Corporate Headquarters in the United States This database is composed of 'an annual list of the 500 largest industrial corporations in the U.S., published by...

  7. Initial operations in local nuclear emergency response headquarter

    International Nuclear Information System (INIS)

    2012-06-01

    As a result of the Fukushima nuclear accident due to the Great East Japan Earthquake and the tsunami that occurred thereafter, local nuclear emergency response headquarters (local headquarters) was set up at off-site center (OFC). However, several obstacles such as the collapse of means of communication resulting from severed communication lines, food and fuel shortage resulting from stagnant physical distribution, and increasing radiation dose around the center significantly restricted originally intended operation of local headquarters. In such severe situation, the personnel gathered at the OFC from the government, local public bodies and electric companies from March 11 to 15 acted without sufficient food, sleep or rest and did all they could against successively occurring unexpected challenges by using limited means of communication. However, issues requiring further consideration were activities of each functional group, location of OFC and the functions of equipment, machines and materials and reflecting the consideration results into future protective measures and revision of the manual for nuclear emergency response were greatly important. This report described investigated results on initial operations in local headquarters such as situation of activities conducted by local headquarters and operations at functional groups. (T. Tanaka)

  8. Characterization and reconstruction of 3D stochastic microstructures via supervised learning.

    Science.gov (United States)

    Bostanabad, R; Chen, W; Apley, D W

    2016-12-01

    The need for computational characterization and reconstruction of volumetric maps of stochastic microstructures for understanding the role of material structure in the processing-structure-property chain has been highlighted in the literature. Recently, a promising characterization and reconstruction approach has been developed where the essential idea is to convert the digitized microstructure image into an appropriate training dataset to learn the stochastic nature of the morphology by fitting a supervised learning model to the dataset. This compact model can subsequently be used to efficiently reconstruct as many statistically equivalent microstructure samples as desired. The goal of this paper is to build upon the developed approach in three major directions by: (1) extending the approach to characterize 3D stochastic microstructures and efficiently reconstruct 3D samples, (2) improving the performance of the approach by incorporating user-defined predictors into the supervised learning model, and (3) addressing potential computational issues by introducing a reduced model which can perform as effectively as the full model. We test the extended approach on three examples and show that the spatial dependencies, as evaluated via various measures, are well preserved in the reconstructed samples. © 2016 The Authors Journal of Microscopy © 2016 Royal Microscopical Society.

  9. Self-expressive Dictionary Learning for Dynamic 3D Reconstruction.

    Science.gov (United States)

    Zheng, Enliang; Ji, Dinghuang; Dunn, Enrique; Frahm, Jan-Michael

    2017-08-22

    We target the problem of sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap. To this end, we develop a framework to recover the unknown structure without sequencing information across video sequences. Our proposed compressed sensing framework poses the estimation of 3D structure as the problem of dictionary learning, where the dictionary is defined as an aggregation of the temporally varying 3D structures. Given the smooth motion of dynamic objects, we observe any element in the dictionary can be well approximated by a sparse linear combination of other elements in the same dictionary (i.e. self-expression). Our formulation optimizes a biconvex cost function that leverages a compressed sensing formulation and enforces both structural dependency coherence across video streams, as well as motion smoothness across estimates from common video sources. We further analyze the reconstructability of our approach under different capture scenarios, and its comparison and relation to existing methods. Experimental results on large amounts of synthetic data as well as real imagery demonstrate the effectiveness of our approach.

  10. Conflict Resolution in Headquarters-Subsidiary Relationships

    DEFF Research Database (Denmark)

    Kumar, Rajesh; Gammelgaard, Jens

    2016-01-01

    We demonstrate the role of regulatory fit and moral emotions, that is, contempt and anger, in influencing conflict resolution between the headquarters and subsidiary boundary spanners. We develop a theoretical framework, which integrates literature on international business and headquarters......-subsidiary relationships with regulatory focus, moral emotions, and conflict resolution. The chapter outlines the relationships between the regulatory focus of a headquarters’ boundary spanner, and his or her manner of engagement, conflict sensitivity, violation of code, moral emotions, and the way conflicts are resolved...

  11. Imam Sahib Border Police Company Headquarters in Kunduz Province: $7.3 Million Facility Sits Largely Unused

    Science.gov (United States)

    2013-01-01

    Afghanistan Border Police Battalion (BN) Headquarters (HQ) to replace an existing sub-standard fac ility. The standard ABP BN HQ manning documents call for...current manning of the site revealed that an ABP BN HQ unit is now utilizing this as a headquarters. An ABP BN HQ has a tashkil manning of 59 personnel...The facility was built for 175 personnel. The difference in designs between an ABP battalion and a company is the amount of barrack space. The build

  12. The effects of 3D interactive animated graphics on student learning and attitudes in computer-based instruction

    Science.gov (United States)

    Moon, Hye Sun

    Visuals are most extensively used as instructional tools in education to present spatially-based information. Recent computer technology allows the generation of 3D animated visuals to extend the presentation in computer-based instruction. Animated visuals in 3D representation not only possess motivational value that promotes positive attitudes toward instruction but also facilitate learning when the subject matter requires dynamic motion and 3D visual cue. In this study, three questions are explored: (1) how 3D graphics affects student learning and attitude, in comparison with 2D graphics; (2) how animated graphics affects student learning and attitude, in comparison with static graphics; and (3) whether the use of 3D graphics, when they are supported by interactive animation, is the most effective visual cues to improve learning and to develop positive attitudes. A total of 145 eighth-grade students participated in a 2 x 2 factorial design study. The subjects were randomly assigned to one of four computer-based instructions: 2D static; 2D animated; 3D static; and 3D animated. The results indicated that: (1) Students in the 3D graphic condition exhibited more positive attitudes toward instruction than those in the 2D graphic condition. No group differences were found between the posttest score of 3D graphic condition and that of 2D graphic condition. However, students in the 3D graphic condition took less time for information retrieval on posttest than those in the 2D graphic condition. (2) Students in the animated graphic condition exhibited slightly more positive attitudes toward instruction than those in the static graphic condition. No group differences were found between the posttest score of animated graphic condition and that of static graphic condition. However, students in the animated graphic condition took less time for information retrieval on posttest than those in the static graphic condition. (3) Students in the 3D animated graphic condition

  13. Selected DOE Headquarters publications, October 1977-September 1979

    International Nuclear Information System (INIS)

    1979-11-01

    This sixth issue of cumulative listings of DOE Headquarters publications covers the first two years of the Department's operation (October 1, 1977 - September 30, 1979). It lists two groups of publications issued by then-existing Headquarters organizations and provides an index to their title keywords. The two groups of publications are publications assigned a DOE/XXX-type report number code and Headquarters contractor reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department. Certain publications are omitted. They include such items as pamphlets, fact sheets, bulletins, newsletters, and telephone directories, as well as headquarters publications issued under the DOE-tr (DOE translation) and CONF (conference proceedings) codes, and technical reports from the Jet Propulsion Laboratory and NASA issued under DOE/JPL and DOE/NASA codes. The contents of this issue will not be repeated in subsequent issues of DOE/AD-0010

  14. Estimating the complexity of 3D structural models using machine learning methods

    Science.gov (United States)

    Mejía-Herrera, Pablo; Kakurina, Maria; Royer, Jean-Jacques

    2016-04-01

    Quantifying the complexity of 3D geological structural models can play a major role in natural resources exploration surveys, for predicting environmental hazards or for forecasting fossil resources. This paper proposes a structural complexity index which can be used to help in defining the degree of effort necessary to build a 3D model for a given degree of confidence, and also to identify locations where addition efforts are required to meet a given acceptable risk of uncertainty. In this work, it is considered that the structural complexity index can be estimated using machine learning methods on raw geo-data. More precisely, the metrics for measuring the complexity can be approximated as the difficulty degree associated to the prediction of the geological objects distribution calculated based on partial information on the actual structural distribution of materials. The proposed methodology is tested on a set of 3D synthetic structural models for which the degree of effort during their building is assessed using various parameters (such as number of faults, number of part in a surface object, number of borders, ...), the rank of geological elements contained in each model, and, finally, their level of deformation (folding and faulting). The results show how the estimated complexity in a 3D model can be approximated by the quantity of partial data necessaries to simulated at a given precision the actual 3D model without error using machine learning algorithms.

  15. An efficient dictionary learning algorithm and its application to 3-D medical image denoising.

    Science.gov (United States)

    Li, Shutao; Fang, Leyuan; Yin, Haitao

    2012-02-01

    In this paper, we propose an efficient dictionary learning algorithm for sparse representation of given data and suggest a way to apply this algorithm to 3-D medical image denoising. Our learning approach is composed of two main parts: sparse coding and dictionary updating. On the sparse coding stage, an efficient algorithm named multiple clusters pursuit (MCP) is proposed. The MCP first applies a dictionary structuring strategy to cluster the atoms with high coherence together, and then employs a multiple-selection strategy to select several competitive atoms at each iteration. These two strategies can greatly reduce the computation complexity of the MCP and assist it to obtain better sparse solution. On the dictionary updating stage, the alternating optimization that efficiently approximates the singular value decomposition is introduced. Furthermore, in the 3-D medical image denoising application, a joint 3-D operation is proposed for taking the learning capabilities of the presented algorithm to simultaneously capture the correlations within each slice and correlations across the nearby slices, thereby obtaining better denoising results. The experiments on both synthetically generated data and real 3-D medical images demonstrate that the proposed approach has superior performance compared to some well-known methods. © 2011 IEEE

  16. Learning weighted sparse representation of encoded facial normal information for expression-robust 3D face recognition

    KAUST Repository

    Li, Huibin

    2011-10-01

    This paper proposes a novel approach for 3D face recognition by learning weighted sparse representation of encoded facial normal information. To comprehensively describe 3D facial surface, three components, in X, Y, and Z-plane respectively, of normal vector are encoded locally to their corresponding normal pattern histograms. They are finally fed to a sparse representation classifier enhanced by learning based spatial weights. Experimental results achieved on the FRGC v2.0 database prove that the proposed encoded normal information is much more discriminative than original normal information. Moreover, the patch based weights learned using the FRGC v1.0 and Bosphorus datasets also demonstrate the importance of each facial physical component for 3D face recognition. © 2011 IEEE.

  17. Selected DOE Headquarters publications, October 1977-September 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1979-11-01

    This sixth issue of cumulative listings of DOE Headquarters publications covers the first two years of the Department's operation (October 1, 1977 - September 30, 1979). It lists two groups of publications issued by then-existing Headquarters organizations and provides an index to their title keywords. The two groups of publications are publications assigned a DOE/XXX-type report number code and Headquarters contractor reports prepared by contractors (and published by DOE) to describe research and development work they have performed for the Department. Certain publications are omitted. They include such items as pamphlets, fact sheets, bulletins, newsletters, and telephone directories, as well as headquarters publications issued under the DOE-tr (DOE translation) and CONF (conference proceedings) codes, and technical reports from the Jet Propulsion Laboratory and NASA issued under DOE/JPL and DOE/NASA codes. The contents of this issue will not be repeated in subsequent issues of DOE/AD-0010. (RWR)

  18. eLearning and eMaking: 3D Printing Blurring the Digital and the Physical

    Science.gov (United States)

    Loy, Jennifer

    2014-01-01

    This article considers the potential of 3D printing as an eLearning tool for design education and the role of eMaking in bringing together the virtual and the physical in the design studio. eLearning has matured from the basics of lecture capture into sophisticated, interactive learning activities for students. At the same time, laptops and…

  19. Stimulating Sustainability in Multinational Companies: the Significance of Regional Headquarters

    OpenAIRE

    Andreas G. M. NACHBAGAUER

    2016-01-01

    Recently, regional headquarters have gained practical importance and theoretical attention. Traditionally considered a mere transmission facility to manage complex organisations, advanced approaches, however, locate regional headquarters in a field of tension between hierarchical integration and strategic independence. Given the growing concern for global responsibility, stimulating sustainability also and particularly addresses regional headquarters. This conceptual article combines the call...

  20. Use of 3D Printed Models in Medical Education: A Randomized Control Trial Comparing 3D Prints versus Cadaveric Materials for Learning External Cardiac Anatomy

    Science.gov (United States)

    Lim, Kah Heng Alexander; Loo, Zhou Yaw; Goldie, Stephen J.; Adams, Justin W.; McMenamin, Paul G.

    2016-01-01

    Three-dimensional (3D) printing is an emerging technology capable of readily producing accurate anatomical models, however, evidence for the use of 3D prints in medical education remains limited. A study was performed to assess their effectiveness against cadaveric materials for learning external cardiac anatomy. A double blind randomized…

  1. An analysis of headquarters location in the Canadian oil and gas sector

    International Nuclear Information System (INIS)

    Hirsch, K.T.

    1993-04-01

    Headquarters location theory identifies several factors which are expected to influence the location of corporate head offices. Some of these factors directly affect the costs of operation and the basic profitability of the company, such as the cost of office space, tax levels, availability of qualified labour, cost of labour, proximity to corporate activities, and agglomeration with other services and companies. Headquarters location theory is applied to Canada's energy sector. During the previous 27 years, concentration of energy company headquarters has shifted from Toronto to Calgary. A regression model tests the extent to which those factors identified in the literature appear to be statistically significant for the headquarters relocation experience in Canada's energy sector. The results of the tests suggest that certain factors do appear to significantly influence relocation decisions. These factors are agglomeration with other oil and gas companies, and relative proximity to oil and gas operations (which unexpectedly displayed a negative coefficient). The agglomeration factor was by far the most significant. 44 refs., 3 figs., 2 tabs

  2. Creative Generation of 3D Objects with Deep Learning and Innovation Engines

    DEFF Research Database (Denmark)

    Lehman, Joel Anthony; Risi, Sebastian; Clune, Jeff

    2016-01-01

    Advances in supervised learning with deep neural networks have enabled robust classification in many real world domains. An interesting question is if such advances can also be leveraged effectively for computational creativity. One insight is that because evolutionary algorithms are free from st...... creativity. The results of this automated process are interesting and recognizable 3D-printable objects, demonstrating the creative potential for combining evolutionary computation and deep learning in this way....

  3. 3D web based learning of medical equipment employed in intensive care units.

    Science.gov (United States)

    Cetin, Aydın

    2012-02-01

    In this paper, both synchronous and asynchronous web based learning of 3D medical equipment models used in hospital intensive care unit have been described over the moodle course management system. 3D medical equipment models were designed with 3ds Max 2008, then converted to ASE format and added interactivity displayed with Viewpoint-Enliven. 3D models embedded in a web page in html format with dynamic interactivity-rotating, panning and zooming by dragging a mouse over images-and descriptive information is embedded to 3D model by using xml format. A pilot test course having 15 h was applied to technicians who is responsible for intensive care unit at Medical Devices Repairing and Maintenance Center (TABOM) of Turkish High Specialized Hospital.

  4. 3D game environments create professional 3D game worlds

    CERN Document Server

    Ahearn, Luke

    2008-01-01

    The ultimate resource to help you create triple-A quality art for a variety of game worlds; 3D Game Environments offers detailed tutorials on creating 3D models, applying 2D art to 3D models, and clear concise advice on issues of efficiency and optimization for a 3D game engine. Using Photoshop and 3ds Max as his primary tools, Luke Ahearn explains how to create realistic textures from photo source and uses a variety of techniques to portray dynamic and believable game worlds.From a modern city to a steamy jungle, learn about the planning and technological considerations for 3D modelin

  5. Astrobiology Learning Progressions: Linking Astrobiology Concepts with the 3D Learning Paradigm of NGSS

    Science.gov (United States)

    Scalice, D.; Davis, H. B.; Leach, D.; Chambers, N.

    2016-12-01

    The Next Generation Science Standards (NGSS) introduce a Framework for teaching and learning with three interconnected "dimensions:" Disciplinary Core Ideas (DCI's), Cross-cutting Concepts (CCC's), and Science and Engineering Practices (SEP's). This "3D" Framework outlines progressions of learning from K-12 based on the DCI's, detailing which parts of a concept should be taught at each grade band. We used these discipline-based progressions to synthesize interdisciplinary progressions for core concepts in astrobiology, such as the origins of life, what makes a world habitable, biosignatures, and searching for life on other worlds. The final product is an organizing tool for lesson plans, learning media, and other educational materials in astrobiology, as well as a fundamental resource in astrobiology education that serves both educators and scientists as they plan and carry out their programs for learners.

  6. Effectiveness of Applying 2D Static Depictions and 3D Animations to Orthographic Views Learning in Graphical Course

    Science.gov (United States)

    Wu, Chih-Fu; Chiang, Ming-Chin

    2013-01-01

    This study provides experiment results as an educational reference for instructors to help student obtain a better way to learn orthographic views in graphical course. A visual experiment was held to explore the comprehensive differences between 2D static and 3D animation object features; the goal was to reduce the possible misunderstanding…

  7. Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

    Directory of Open Access Journals (Sweden)

    Stanislawski Jerzy

    2013-01-01

    Full Text Available Abstract Background Amyloids are proteins capable of forming fibrils. Many of them underlie serious diseases, like Alzheimer disease. The number of amyloid-associated diseases is constantly increasing. Recent studies indicate that amyloidogenic properties can be associated with short segments of aminoacids, which transform the structure when exposed. A few hundreds of such peptides have been experimentally found. Experimental testing of all possible aminoacid combinations is currently not feasible. Instead, they can be predicted by computational methods. 3D profile is a physicochemical-based method that has generated the most numerous dataset - ZipperDB. However, it is computationally very demanding. Here, we show that dataset generation can be accelerated. Two methods to increase the classification efficiency of amyloidogenic candidates are presented and tested: simplified 3D profile generation and machine learning methods. Results We generated a new dataset of hexapeptides, using more economical 3D profile algorithm, which showed very good classification overlap with ZipperDB (93.5%. The new part of our dataset contains 1779 segments, with 204 classified as amyloidogenic. The dataset of 6-residue sequences with their binary classification, based on the energy of the segment, was applied for training machine learning methods. A separate set of sequences from ZipperDB was used as a test set. The most effective methods were Alternating Decision Tree and Multilayer Perceptron. Both methods obtained area under ROC curve of 0.96, accuracy 91%, true positive rate ca. 78%, and true negative rate 95%. A few other machine learning methods also achieved a good performance. The computational time was reduced from 18-20 CPU-hours (full 3D profile to 0.5 CPU-hours (simplified 3D profile to seconds (machine learning. Conclusions We showed that the simplified profile generation method does not introduce an error with regard to the original method, while

  8. Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides.

    Science.gov (United States)

    Stanislawski, Jerzy; Kotulska, Malgorzata; Unold, Olgierd

    2013-01-17

    Amyloids are proteins capable of forming fibrils. Many of them underlie serious diseases, like Alzheimer disease. The number of amyloid-associated diseases is constantly increasing. Recent studies indicate that amyloidogenic properties can be associated with short segments of aminoacids, which transform the structure when exposed. A few hundreds of such peptides have been experimentally found. Experimental testing of all possible aminoacid combinations is currently not feasible. Instead, they can be predicted by computational methods. 3D profile is a physicochemical-based method that has generated the most numerous dataset - ZipperDB. However, it is computationally very demanding. Here, we show that dataset generation can be accelerated. Two methods to increase the classification efficiency of amyloidogenic candidates are presented and tested: simplified 3D profile generation and machine learning methods. We generated a new dataset of hexapeptides, using more economical 3D profile algorithm, which showed very good classification overlap with ZipperDB (93.5%). The new part of our dataset contains 1779 segments, with 204 classified as amyloidogenic. The dataset of 6-residue sequences with their binary classification, based on the energy of the segment, was applied for training machine learning methods. A separate set of sequences from ZipperDB was used as a test set. The most effective methods were Alternating Decision Tree and Multilayer Perceptron. Both methods obtained area under ROC curve of 0.96, accuracy 91%, true positive rate ca. 78%, and true negative rate 95%. A few other machine learning methods also achieved a good performance. The computational time was reduced from 18-20 CPU-hours (full 3D profile) to 0.5 CPU-hours (simplified 3D profile) to seconds (machine learning). We showed that the simplified profile generation method does not introduce an error with regard to the original method, while increasing the computational efficiency. Our new dataset

  9. Eco-Dialogical Learning and Translanguaging in Open-Ended 3D Virtual Learning Environments: Where Place, Time, and Objects Matter

    Science.gov (United States)

    Zheng, Dongping; Schmidt, Matthew; Hu, Ying; Liu, Min; Hsu, Jesse

    2017-01-01

    The purpose of this research was to explore the relationships between design, learning, and translanguaging in a 3D collaborative virtual learning environment for adolescent learners of Chinese and English. We designed an open-ended space congruent with ecological and dialogical perspectives on second language acquisition. In such a space,…

  10. Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions.

    Science.gov (United States)

    Liang, Haoran; Liang, Ronghua; Song, Mingli; He, Xiaofei

    2016-04-01

    The desire to reconstruct 3-D face models with expressions from 2-D face images fosters increasing interest in addressing the problem of face modeling. This task is important and challenging in the field of computer animation. Facial contours and wrinkles are essential to generate a face with a certain expression; however, these details are generally ignored or are not seriously considered in previous studies on face model reconstruction. Thus, we employ coupled radius basis function networks to derive an intermediate 3-D face model from a single 2-D face image. To optimize the 3-D face model further through landmarks, a coupled dictionary that is related to 3-D face models and their corresponding 3-D landmarks is learned from the given training set through local coordinate coding. Another coupled dictionary is then constructed to bridge the 2-D and 3-D landmarks for the transfer of vertices on the face model. As a result, the final 3-D face can be generated with the appropriate expression. In the testing phase, the 2-D input faces are converted into 3-D models that display different expressions. Experimental results indicate that the proposed approach to facial expression synthesis can obtain model details more effectively than previous methods can.

  11. Active learning in the lecture theatre using 3D printed objects.

    Science.gov (United States)

    Smith, David P

    2016-01-01

    The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme's active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student.

  12. Versatile, immersive, creative and dynamic virtual 3-D healthcare learning environments: a review of the literature.

    Science.gov (United States)

    Hansen, Margaret M

    2008-09-01

    The author provides a critical overview of three-dimensional (3-D) virtual worlds and "serious gaming" that are currently being developed and used in healthcare professional education and medicine. The relevance of this e-learning innovation for teaching students and professionals is debatable and variables influencing adoption, such as increased knowledge, self-directed learning, and peer collaboration, by academics, healthcare professionals, and business executives are examined while looking at various Web 2.0/3.0 applications. There is a need for more empirical research in order to unearth the pedagogical outcomes and advantages associated with this e-learning technology. A brief description of Roger's Diffusion of Innovations Theory and Siemens' Connectivism Theory for today's learners is presented as potential underlying pedagogical tenets to support the use of virtual 3-D learning environments in higher education and healthcare.

  13. Enhancing Nuclear Newcomer Training with 3D Visualization Learning Tools

    International Nuclear Information System (INIS)

    Gagnon, V.

    2016-01-01

    Full text: While the nuclear power industry is trying to reinforce its safety and regain public support post-Fukushima, it is also faced with a very real challenge that affects its day-to-day activities: a rapidly aging workforce. Statistics show that close to 40% of the current nuclear power industry workforce will retire within the next five years. For newcomer countries, the challenge is even greater, having to develop a completely new workforce. The workforce replacement effort introduces nuclear newcomers of a new generation with different backgrounds and affinities. Major lifestyle differences between the two generations of workers result, amongst other things, in different learning habits and needs for this new breed of learners. Interactivity, high visual content and quick access to information are now necessary to achieve a high level of retention. To enhance existing training programmes or to support the establishment of new training programmes for newcomer countries, L-3 MAPPS has devised learning tools to enhance these training programmes focused on the “Practice-by-Doing” principle. L-3 MAPPS has coupled 3D computer visualization with high-fidelity simulation to bring real-time, simulation-driven animated components and systems allowing immersive and participatory, individual or classroom learning. (author

  14. Learning weighted sparse representation of encoded facial normal information for expression-robust 3D face recognition

    KAUST Repository

    Li, Huibin; Di, Huang; Morvan, Jean-Marie; Chen, Liming

    2011-01-01

    This paper proposes a novel approach for 3D face recognition by learning weighted sparse representation of encoded facial normal information. To comprehensively describe 3D facial surface, three components, in X, Y, and Z-plane respectively

  15. "Let's get physical": advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy.

    Science.gov (United States)

    Preece, Daniel; Williams, Sarah B; Lam, Richard; Weller, Renate

    2013-01-01

    Three-dimensional (3D) information plays an important part in medical and veterinary education. Appreciating complex 3D spatial relationships requires a strong foundational understanding of anatomy and mental 3D visualization skills. Novel learning resources have been introduced to anatomy training to achieve this. Objective evaluation of their comparative efficacies remains scarce in the literature. This study developed and evaluated the use of a physical model in demonstrating the complex spatial relationships of the equine foot. It was hypothesized that the newly developed physical model would be more effective for students to learn magnetic resonance imaging (MRI) anatomy of the foot than textbooks or computer-based 3D models. Third year veterinary medicine students were randomly assigned to one of three teaching aid groups (physical model; textbooks; 3D computer model). The comparative efficacies of the three teaching aids were assessed through students' abilities to identify anatomical structures on MR images. Overall mean MRI assessment scores were significantly higher in students utilizing the physical model (86.39%) compared with students using textbooks (62.61%) and the 3D computer model (63.68%) (P < 0.001), with no significant difference between the textbook and 3D computer model groups (P = 0.685). Student feedback was also more positive in the physical model group compared with both the textbook and 3D computer model groups. Our results suggest that physical models may hold a significant advantage over alternative learning resources in enhancing visuospatial and 3D understanding of complex anatomical architecture, and that 3D computer models have significant limitations with regards to 3D learning. © 2013 American Association of Anatomists.

  16. Super-resolution for asymmetric resolution of FIB-SEM 3D imaging using AI with deep learning.

    Science.gov (United States)

    Hagita, Katsumi; Higuchi, Takeshi; Jinnai, Hiroshi

    2018-04-12

    Scanning electron microscopy equipped with a focused ion beam (FIB-SEM) is a promising three-dimensional (3D) imaging technique for nano- and meso-scale morphologies. In FIB-SEM, the specimen surface is stripped by an ion beam and imaged by an SEM installed orthogonally to the FIB. The lateral resolution is governed by the SEM, while the depth resolution, i.e., the FIB milling direction, is determined by the thickness of the stripped thin layer. In most cases, the lateral resolution is superior to the depth resolution; hence, asymmetric resolution is generated in the 3D image. Here, we propose a new approach based on an image-processing or deep-learning-based method for super-resolution of 3D images with such asymmetric resolution, so as to restore the depth resolution to achieve symmetric resolution. The deep-learning-based method learns from high-resolution sub-images obtained via SEM and recovers low-resolution sub-images parallel to the FIB milling direction. The 3D morphologies of polymeric nano-composites are used as test images, which are subjected to the deep-learning-based method as well as conventional methods. We find that the former yields superior restoration, particularly as the asymmetric resolution is increased. Our super-resolution approach for images having asymmetric resolution enables observation time reduction.

  17. A Contextualized Model of Headquarters-subsidiary Agency Problems

    DEFF Research Database (Denmark)

    Kostova, Tatiana; Nell, Phillip Christopher; Hoenen, Anne Kristin

    This paper proposes an agency model for headquarters-subsidiary relationships in multinational organizations with headquarters as the principal and the subsidiary as the agent. As a departure from classical agency theory, our model is developed for the unit level of analysis and considers two root...... in which the headquarters-subsidiary dyad is embedded. We then discuss several agency scenarios that lead to different manifestations of the agency problem. The framework informs more relevant applications of agency theory in organizational studies and motivates future research....... causes of the agency problem – self-interest and bounded rationality. We argue that one cannot assume absolute self-interest and perfect rationality of agents but should allow them to vary. We explain subsidiary-level variation through a set of internal organizational and external social conditions...

  18. The Effect of Stereoscopic ("3D") vs. 2D Presentation on Learning through Video and Film

    Science.gov (United States)

    Price, Aaron; Kasal, E.

    2014-01-01

    Two Eyes, 3D is a NSF-funded research project into the effects of stereoscopy on learning of highly spatial concepts. We report final results on one study of the project which tested the effect of stereoscopic presentation on learning outcomes of two short films about Type 1a supernovae and the morphology of the Milky Way. 986 adults watched either film, randomly distributed between stereoscopic and 2D presentation. They took a pre-test and post-test that included multiple choice and drawing tasks related to the spatial nature of the topics in the film. Orientation of the answering device was also tracked and a spatial cognition pre-test was given to control for prior spatial ability. Data collection took place at the Adler Planetarium's Space Visualization Lab and the project is run through the AAVSO.

  19. EUROPEANA AND 3D

    Directory of Open Access Journals (Sweden)

    D. Pletinckx

    2012-09-01

    Full Text Available The current 3D hype creates a lot of interest in 3D. People go to 3D movies, but are we ready to use 3D in our homes, in our offices, in our communication? Are we ready to deliver real 3D to a general public and use interactive 3D in a meaningful way to enjoy, learn, communicate? The CARARE project is realising this for the moment in the domain of monuments and archaeology, so that real 3D of archaeological sites and European monuments will be available to the general public by 2012. There are several aspects to this endeavour. First of all is the technical aspect of flawlessly delivering 3D content over all platforms and operating systems, without installing software. We have currently a working solution in PDF, but HTML5 will probably be the future. Secondly, there is still little knowledge on how to create 3D learning objects, 3D tourist information or 3D scholarly communication. We are still in a prototype phase when it comes to integrate 3D objects in physical or virtual museums. Nevertheless, Europeana has a tremendous potential as a multi-facetted virtual museum. Finally, 3D has a large potential to act as a hub of information, linking to related 2D imagery, texts, video, sound. We describe how to create such rich, explorable 3D objects that can be used intuitively by the generic Europeana user and what metadata is needed to support the semantic linking.

  20. The Effectiveness of a 3D Computerized Tutorial to Enhance Learning of the Canine Larynx and Hyoid Apparatus.

    Science.gov (United States)

    Nemanic, Sarah; Mills, Serena; Viehdorfer, Matt; Clark, Terri; Bailey, Mike

    Teaching the anatomy of the canine larynx and hyoid apparatus is challenging because dissection disassembles and/or damages these structures, making it difficult to understand their three-dimensional (3D) anatomy and spatial interrelationships. This study assessed the effectiveness of an interactive, computerized 3D tutorial for teaching the anatomy of the canine larynx and hyoid apparatus using a randomized control design with students enrolled in the first-year professional program at Oregon State University College of Veterinary Medicine. All first-year students from 2 consecutive years were eligible. All students received the traditional methods of didactic teaching and dissection to learn the anatomy of the canine larynx and hyoid apparatus, after which they were divided into two statistically equal groups based on their cumulative anatomy test scores from the prior term. The tutorial group received an interactive, computerized tutorial developed by the investigators containing 3D images of the canine larynx and hyoid apparatus, while the control group received the same 3D images without the computerized tutorial. Both groups received the same post-learning assessment and survey. Sixty-three first-year students participated in the study, 28 in the tutorial group, and 35 in the control group. Post-learning assessment and survey scores were both significantly higher among students in the computerized tutorial group than those in the control group. This study demonstrates that a 3D computerized tutorial is more effective in teaching the anatomy of the canine hyoid apparatus and larynx than 3D images without a tutorial. Students likewise rated their learning experience higher when using the 3D computerized tutorial.

  1. Are Large Headquarters Unproductive? Evidence from a panel of Japanese companies

    OpenAIRE

    MORIKAWA Masayuki

    2014-01-01

    Headquarters play an important role in modern companies, but the downsizing of headquarters is often advocated as a way to improve organizational efficiency. The size of headquarters is closely related to the centralization/decentralization of decision making, and a theoretically optimal level of (de)centralization depends on various conditions. Using a panel of more than 40,000 Japanese companies for the period 2001-2011, this paper empirically analyzes the determinants of the size of headqu...

  2. 3D Anatomy Models and Impact on Learning: A Review of the Quality of the Literature

    Directory of Open Access Journals (Sweden)

    Samy A. Azer

    2016-12-01

    Conclusions: There was no solid evidence that the use of 3D models is superior to traditional teaching. However, the studies varied in research quality. More studies are needed to examine the short- and long-term impacts of 3D models on learning using valid and appropriate tools.

  3. The greening of the U.S. Department of Energy Headquarters, Washington, D.C. Second-year status report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-04-22

    The Greening of the Department of Energy Headquarters is a comprehensive, multi-year project designed to identify and implement specific actions DOE can take to save energy and money, improve the comfort and productivity of employees, and benefit the environment. It is part of the Administration`s overall effort to promote greening in all of the nation`s federal buildings. Present Clinton started the Greening of the White House in 1993, and similar efforts have been undertaken by the Department of Defense at the Pentagon, the National Park Service at the Presidio, and now the Department of Energy at the Forrestal and Germantown buildings. The Greening of the Department of Energy Headquarters, An Action Plan for Success (Action Plan), unveiled on April 22, 1996, outlined more than 80 action items for DOE`s Forrestal and Germantown buildings. The action items were designed to increase energy efficiency, improve resource management, improve air quality, reduce water use, reduce paper use, improve landscape management, improve maintenance and operational procedures, increase employee participation, and promote education and outreach. In the two years since the Action Plan was introduced, the Department of Energy has made major progress in implementing specific action items designed to target four major subject areas: (1) Energy Efficiency; (2) Resource Management; (3) Air, Water, Landscape, and (4) Human Factors. This report outlines the status of the recommendations of the Action Plan since they were introduced two years ago.

  4. 3D surface parameterization using manifold learning for medial shape representation

    Science.gov (United States)

    Ward, Aaron D.; Hamarneh, Ghassan

    2007-03-01

    The choice of 3D shape representation for anatomical structures determines the effectiveness with which segmentation, visualization, deformation, and shape statistics are performed. Medial axis-based shape representations have attracted considerable attention due to their inherent ability to encode information about the natural geometry of parts of the anatomy. In this paper, we propose a novel approach, based on nonlinear manifold learning, to the parameterization of medial sheets and object surfaces based on the results of skeletonization. For each single-sheet figure in an anatomical structure, we skeletonize the figure, and classify its surface points according to whether they lie on the upper or lower surface, based on their relationship to the skeleton points. We then perform nonlinear dimensionality reduction on the skeleton, upper, and lower surface points, to find the intrinsic 2D coordinate system of each. We then center a planar mesh over each of the low-dimensional representations of the points, and map the meshes back to 3D using the mappings obtained by manifold learning. Correspondence between mesh vertices, established in their intrinsic 2D coordinate spaces, is used in order to compute the thickness vectors emanating from the medial sheet. We show results of our algorithm on real brain and musculoskeletal structures extracted from MRI, as well as an artificial multi-sheet example. The main advantages to this method are its relative simplicity and noniterative nature, and its ability to correctly compute nonintersecting thickness vectors for a medial sheet regardless of both the amount of coincident bending and thickness in the object, and of the incidence of local concavities and convexities in the object's surface.

  5. Development of monograph titled "augmented chemistry aldehida & keton" with 3 dimensional (3D) illustration as a supplement book on chemistry learning

    Science.gov (United States)

    Damayanti, Latifah Adelina; Ikhsan, Jaslin

    2017-05-01

    Integration of information technology in education more rapidly performed in a medium of learning. Three-dimensional (3D) molecular modeling was performed in Augmented Reality as a tangible manifestation of increasingly modern technology utilization. Based on augmented reality, three-dimensional virtual object is projected in real time and the exact environment. This paper reviewed the uses of chemical learning supplement book of aldehydes and ketones which are equipped with three-dimensional molecular modeling by which students can inspect molecules from various viewpoints. To plays the 3D illustration printed on the book, smartphones with the open-source software of the technology based integrated Augmented Reality can be used. The aims of this research were to develop the monograph of aldehydes and ketones with 3 dimensional (3D) illustrations, to determine the specification of the monograph, and to determine the quality of the monograph. The quality of the monograph is evaluated by experiencing chemistry teachers on the five aspects of contents/materials, presentations, language and images, graphs, and software engineering, resulted in the result that the book has a very good quality to be used as a chemistry learning supplement book.

  6. Headquarters Of APSCO Opens In Beijing

    Institute of Scientific and Technical Information of China (English)

    Xu Yansong

    2009-01-01

    @@ The headquarters of Asia-Pacific Space Cooperation Organization (APSCO) has been inaugurated in Beijing.APSCO is the biggest space organization in Asia. Established in 2008, the organization has 9 members in the Asia-Pacific region.

  7. Think3d!: Improving mathematics learning through embodied spatial training.

    Science.gov (United States)

    Burte, Heather; Gardony, Aaron L; Hutton, Allyson; Taylor, Holly A

    2017-01-01

    Spatial thinking skills positively relate to Science, Technology, Engineering, and Math (STEM) outcomes, but spatial training is largely absent in elementary school. Elementary school is a time when children develop foundational cognitive skills that will support STEM learning throughout their education. Spatial thinking should be considered a foundational cognitive skill. The present research examined the impact of an embodied spatial training program on elementary students' spatial and mathematical thinking. Students in rural elementary schools completed spatial and math assessments prior to and after participating in an origami and pop-up paper engineering-based program, called Think3d!. Think3d! uses embodied tasks, such as folding and cutting paper, to train two-dimensional to three-dimensional spatial thinking. Analyses explored spatial thinking gains, mathematics gains - specifically for problem types expected to show gains from spatial training - and factors predicting mathematics gains. Results showed spatial thinking gains in two assessments. Using a math categorization to target problems more and less likely to be impacted by spatial training, we found that all students improved on real-world math problems and older students improved on visual and spatial math problems. Further, the results are suggestive of developmental time points for implementing embodied spatial training related to applying spatial thinking to math. Finally, the spatial thinking assessment that was most highly related to training activities also predicted math performance gains. Future research should explore developmental issues related to how embodied spatial training might support STEM learning and outcomes.

  8. Media development effectiveness of geography 3d muckups

    Science.gov (United States)

    Prasetya, S. P.; Daryono; Budiyanto, E.

    2018-01-01

    Geography examines geosphere phenomena that occurs in a space associated with humans on earth’s surface. Media 3D models are an important visual media in presenting spatial objects on the earth’s surface. This study aims to develop a decent 3D mockups media used for learning materials and test the effectiveness of media geography 3D mockups on learning outcomes. The study involved 90 students of Geography Education, Faculty of Social Sciences and Law, State University of Surabaya. Method development using a model of the Borg and Gall (1989) which has been modified into three stages, namely the introduction, development, and testing. The study produced instructional media 3D Muckups eligible to be used as a learning medium for the material hydrosphere geography, geology, and geomorphology. 3D mockups media use in learning geography materials can increase the activity of students, student interest and a positive response to raise the student learning outcomes as the material can be delivered more concrete geography. Based on observations conducted student activity occurs continuously increase in the use of 3D models for learning geography material.

  9. How Spatial Abilities and Dynamic Visualizations Interplay When Learning Functional Anatomy with 3D Anatomical Models

    Science.gov (United States)

    Berney, Sandra; Bétrancourt, Mireille; Molinari, Gaëlle; Hoyek, Nady

    2015-01-01

    The emergence of dynamic visualizations of three-dimensional (3D) models in anatomy curricula may be an adequate solution for spatial difficulties encountered with traditional static learning, as they provide direct visualization of change throughout the viewpoints. However, little research has explored the interplay between learning material…

  10. Location trends of large company headquarters during the 1990s

    OpenAIRE

    Thomas H. Klier; William A. Testa

    2002-01-01

    This article documents changes in the spatial distribution of corporate headquarters of large U.S.-domiciled corporations during the 1990s. The authors find that the largest metropolitan areas continue to host a disproportionate share of headquarters, but there have been significant shifts toward cities with population between one and two million.

  11. 19 CFR 172.12 - Petitions acted on at Customs Headquarters.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Petitions acted on at Customs Headquarters. 172.12 Section 172.12 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY... Petitions § 172.12 Petitions acted on at Customs Headquarters. Upon receipt of a petition for relief filed...

  12. Iraqi Civil Defense Headquarters Baghdad, Iraq

    National Research Council Canada - National Science Library

    Johnston, Angelina; O'Connor, Kevin; Rawal, Yogin

    2007-01-01

    .... The assessment team included two engineers/inspectors and three auditors/inspectors. The overall objective of the project was to fully renovate the Civil Defense Headquarters and other buildings on the site to become a fully operational and usable facility.

  13. 3D Virtual Reality for Teaching Astronomy

    Science.gov (United States)

    Speck, Angela; Ruzhitskaya, L.; Laffey, J.; Ding, N.

    2012-01-01

    We are developing 3D virtual learning environments (VLEs) as learning materials for an undergraduate astronomy course, in which will utilize advances both in technologies available and in our understanding of the social nature of learning. These learning materials will be used to test whether such VLEs can indeed augment science learning so that it is more engaging, active, visual and effective. Our project focuses on the challenges and requirements of introductory college astronomy classes. Here we present our virtual world of the Jupiter system and how we plan to implement it to allow students to learn course material - physical laws and concepts in astronomy - while engaging them into exploration of the Jupiter's system, encouraging their imagination, curiosity, and motivation. The VLE can allow students to work individually or collaboratively. The 3D world also provides an opportunity for research in astronomy education to investigate impact of social interaction, gaming features, and use of manipulatives offered by a learning tool on students’ motivation and learning outcomes. Use of this VLE is also a valuable source for exploration of how the learners’ spatial awareness can be enhanced by working in 3D environment. We will present the Jupiter-system environment along with a preliminary study of the efficacy and usability of our Jupiter 3D VLE.

  14. The missing dimension of knowledge transfer from subsidiaries to headquarters: The case of Oil and Gas companies in CEE region

    Directory of Open Access Journals (Sweden)

    Emil Velinov

    2016-12-01

    Full Text Available The paper identifies knowledge management determinants of knowledge transfer from subsidiaries to headquarters in the top Oil & Gas companies in Central and Eastern Europe as their level of innovations, internationalization and economic importance are emerging. The paper sheds a light not only on the process of knowledge transfer parent-subsidiary but via versa as it is critical in the 21st century for better adapting to specific business needs in certain geographical regions. Thus, this reversed knowledge from subsidiaries to headquarters is critical for the given business sector where the level of innovation and amount of R&D investments are enormous. The study argues that the reversed process of knowledge transfers from subsidiary to parent company is positively related to company performance and business diversification. Nowadays the knowledge formed in the subsidiaries of Multinational Corporations (MNCs is transferred to headquarters by investing in R&D centres, building new exploration and testing sites abroad. In the reversed knowledge transfer process we can identify main challenges, which are very critical to analyse and determine the exact process.

  15. Modular Structures in a Multinational Force Headquarters

    National Research Council Canada - National Science Library

    Stewart, K; Christie, M

    2004-01-01

    .... It is proposed that future Multinational Force (MNF) military headquarters (HQ) can achieve this flexibility through a modular organizational structure enabled by networked information management and communication technologies...

  16. The Size and Composition of Corporate Headquarters in Multinational Companies: Empirical Evidence

    OpenAIRE

    Collis, David J.; Young, David; Goold, Michael

    2012-01-01

    Based on a six-country survey of nearly 250 multinationals (MNCs), this paper is the first empirical analysis to describe the size and composition of MNC headquarters and to account for differences among them. Findings are as follows: MNC corporate headquarters are more involved in "obligatory" and value creating and control functions than in operational activities; there are no systematic differences in the determinants of the size and composition of corporate headquarters between MNCs and p...

  17. 39 CFR 223.2 - Channels of communication, headquarters with area offices.

    Science.gov (United States)

    2010-07-01

    ... RELATIONSHIPS AND COMMUNICATION CHANNELS § 223.2 Channels of communication, headquarters with area offices. (a... 39 Postal Service 1 2010-07-01 2010-07-01 false Channels of communication, headquarters with area...). Whether published on paper or online, such policies must be coordinated with other appropriate...

  18. Headquarters-subsidiary relationship governance in Poland

    NARCIS (Netherlands)

    Gusc, J.S.; Omta, S.W.F.

    2011-01-01

    The study addresses the views of agency and stewardship theory on governance of the relationship between headquarters and subsidiaries. It explores the influence of strategy, task environment and cultural differences on this relationship. The conceptual model is explored based on a survey of 76

  19. MNC Headquarters as Global Network Orchestrators

    DEFF Research Database (Denmark)

    Valentino, Alfredo; Nell, Phillip Christopher; Hotho, Jasper J.

    2014-01-01

    Despite increased interest in headquarters (HQ) and their activities, we still lack a comprehensive understanding of the drivers of HQ relocations and their consequences. We seek to address this gap by examining whether HQ relocations are primarily driven by cost-reduction or value-creation motiv...

  20. Understanding Agency Problems in Headquarters-Subsidiary Relationships in Multinational Corporations

    DEFF Research Database (Denmark)

    Kostova, Tatiana; Nell, Phillip Christopher; Hoenen, Anne Kristin

    2016-01-01

    This paper proposes an agency model for headquarters-subsidiary relationships in multinational organizations with headquarters as the principal and the subsidiary as the agent. As a departure from classical agency theory, our model is developed for the unit level of analysis and considers two root...... causes of the agency problem—self-interest and bounded rationality. We argue that in the organizational setting, one cannot assume absolute self-interest and perfect rationality of agents (subsidiaries) but should allow them to vary. We explain subsidiary-level variation through a set of internal...... organizational and external social conditions in which the headquarters-subsidiary agency dyad is embedded. We then discuss several agency scenarios reflecting various levels of self-interest and rationality that lead to different manifestations of the agency problem. The proposed framework can inform more...

  1. The depth estimation of 3D face from single 2D picture based on manifold learning constraints

    Science.gov (United States)

    Li, Xia; Yang, Yang; Xiong, Hailiang; Liu, Yunxia

    2018-04-01

    The estimation of depth is virtual important in 3D face reconstruction. In this paper, we propose a t-SNE based on manifold learning constraints and introduce K-means method to divide the original database into several subset, and the selected optimal subset to reconstruct the 3D face depth information can greatly reduce the computational complexity. Firstly, we carry out the t-SNE operation to reduce the key feature points in each 3D face model from 1×249 to 1×2. Secondly, the K-means method is applied to divide the training 3D database into several subset. Thirdly, the Euclidean distance between the 83 feature points of the image to be estimated and the feature point information before the dimension reduction of each cluster center is calculated. The category of the image to be estimated is judged according to the minimum Euclidean distance. Finally, the method Kong D will be applied only in the optimal subset to estimate the depth value information of 83 feature points of 2D face images. Achieving the final depth estimation results, thus the computational complexity is greatly reduced. Compared with the traditional traversal search estimation method, although the proposed method error rate is reduced by 0.49, the number of searches decreases with the change of the category. In order to validate our approach, we use a public database to mimic the task of estimating the depth of face images from 2D images. The average number of searches decreased by 83.19%.

  2. Cutting Fat or Removing the Brain: Is the Divisional ADA Battalion Headquarters Necessary?

    National Research Council Canada - National Science Library

    Sauter, Daniel

    1998-01-01

    .... This monograph examines whether the divisional ADA battalion headquarters, an intermediate headquarters, is necessary to command and control divisional air defense operations in a Force XXI environment...

  3. Key Management Theories ... and What They Have to Say with Regards to Contemporary Headquarters Structures

    DEFF Research Database (Denmark)

    Nell, Phillip Christopher

    2018-01-01

    Multinational and multibusiness headquarters increasingly structure their headquarters in novel ways. They use several locations spread around the world, differentiate different types of headquarters activities in a very fine-grained way, they temporarily relocate top management teams, or relocate...

  4. 76 FR 19467 - Weyerhaeuser Company, Corporate Headquarters Including On-Site Leased Workers From Volt Services...

    Science.gov (United States)

    2011-04-07

    ... employed on-site at the Federal Way, Washington location of Weyerhaeuser Company, Corporate Headquarters... Company, Corporate Headquarters to be considered leased workers. Based on these findings, the Department... Federal Way, Washington location of Weyerhaeuser Company, Corporate Headquarters. The amended notice...

  5. 75 FR 76040 - Weyerhaeuser Company Corporate Headquarters Including On-Site Leased Workers From Volt Services...

    Science.gov (United States)

    2010-12-07

    ... Assistance on June 2, 2010, applicable to workers of Weyerhaeuser Company, Corporate Headquarters, including... Weyerhaeuser Company, Corporate Headquarters to be considered leased workers. Based on these findings, the... the Federal Way, Washington location of Weyerhaeuser Company, Corporate Headquarters. The amended...

  6. Memory and visual search in naturalistic 2D and 3D environments.

    Science.gov (United States)

    Li, Chia-Ling; Aivar, M Pilar; Kit, Dmitry M; Tong, Matthew H; Hayhoe, Mary M

    2016-06-01

    The role of memory in guiding attention allocation in daily behaviors is not well understood. In experiments with two-dimensional (2D) images, there is mixed evidence about the importance of memory. Because the stimulus context in laboratory experiments and daily behaviors differs extensively, we investigated the role of memory in visual search, in both two-dimensional (2D) and three-dimensional (3D) environments. A 3D immersive virtual apartment composed of two rooms was created, and a parallel 2D visual search experiment composed of snapshots from the 3D environment was developed. Eye movements were tracked in both experiments. Repeated searches for geometric objects were performed to assess the role of spatial memory. Subsequently, subjects searched for realistic context objects to test for incidental learning. Our results show that subjects learned the room-target associations in 3D but less so in 2D. Gaze was increasingly restricted to relevant regions of the room with experience in both settings. Search for local contextual objects, however, was not facilitated by early experience. Incidental fixations to context objects do not necessarily benefit search performance. Together, these results demonstrate that memory for global aspects of the environment guides search by restricting allocation of attention to likely regions, whereas task relevance determines what is learned from the active search experience. Behaviors in 2D and 3D environments are comparable, although there is greater use of memory in 3D.

  7. eLearning and eMaking: 3D Printing Blurring the Digital and the Physical

    Directory of Open Access Journals (Sweden)

    Jennifer Loy

    2014-02-01

    Full Text Available This article considers the potential of 3D printing as an eLearning tool for design education and the role of eMaking in bringing together the virtual and the physical in the design studio. eLearning has matured from the basics of lecture capture into sophisticated, interactive learning activities for students. At the same time, laptops and internet enabled phones have made computer-based learning mobile, invading classroom learning, changing communication between students, enabling on the spot research, and making the recording of ideas and activities easier. The barriers between online and offline are becoming blurred in a combined digital and physical learning environment. Three-dimensional printing is part of this unification and can be an empowering learning tool for students, changing their relationship with the virtual and the physical, allowing them to take ideas and thinking from screen to reality and back again in an iterative, connected process, however, from an eLearning point of view it is, more importantly, a transformative technology with the potential to change the relationship of the learner to their learning and the scope and nature of their work. Examples from Griffith Product Design student learning illustrate the potential of eMaking to enhance combined learning in a digital age.

  8. When salespeople develop negative headquarters stereotypes: performance effects and managerial remedies

    OpenAIRE

    Homburg, Christian; Wieseke, Jan; Lukas, Bryan A.; Mikolon, Sven

    2011-01-01

    This study examines the performance implications that organizations may suffer when their salespeople develop negative stereotypes of their corporate headquarters. How such stereotypes can be remedied through managerial action is also examined. The study draws on matched data from four different sources: sales managers, salespeople, customers, and company reports. Findings indicate that negative headquarters stereotypes among salespeople are associated with poor marketing-related ...

  9. 78 FR 52982 - Experian, Experian US Headquarters: Corporate Departments (Finance, HRMD, Contracts, Corporate...

    Science.gov (United States)

    2013-08-27

    ...,506R] Experian, Experian US Headquarters: Corporate Departments (Finance, HRMD, Contracts, Corporate... Headquarters: Corporate Departments (finance, HRMD, Contracts, Corporate Marketing, Global Corporate Systems... (finance, HRMD, Contracts, Corporate Marketing, Global Corporate Systems, Legal & Regulatory, Risk...

  10. 3D Visualization Types in Multimedia Applications for Science Learning: A Case Study for 8th Grade Students in Greece

    Science.gov (United States)

    Korakakis, G.; Pavlatou, E. A.; Palyvos, J. A.; Spyrellis, N.

    2009-01-01

    This research aims to determine whether the use of specific types of visualization (3D illustration, 3D animation, and interactive 3D animation) combined with narration and text, contributes to the learning process of 13- and 14- years-old students in science courses. The study was carried out with 212 8th grade students in Greece. This…

  11. 3D Virtual Reality Check: Learner Engagement and Constructivist Theory

    Science.gov (United States)

    Bair, Richard A.

    2013-01-01

    The inclusion of three-dimensional (3D) virtual tools has created a need to communicate the engagement of 3D tools and specify learning gains that educators and the institutions, which are funding 3D tools, can expect. A review of literature demonstrates that specific models and theories for 3D Virtual Reality (VR) learning do not exist "per…

  12. 3D Printing as Learning Activity in Higher Education A case study in a robotics’ prototyping course

    OpenAIRE

    Drakoulaki, Aikaterini

    2017-01-01

    This thesis is inspired by the new opportunities new technologies provide in education and more precisely in higher education. There is a general focus in higher education on supporting student learning beyond learning the existing knowledge, so that students are prepared for taking part in knowledge- generating activities in their future working environment. Technologies can offer new opportunities for exploring and constructing knowledge. The focus of this study is on 3D printing as a learn...

  13. Professional Papervision3D

    CERN Document Server

    Lively, Michael

    2010-01-01

    Professional Papervision3D describes how Papervision3D works and how real world applications are built, with a clear look at essential topics such as building websites and games, creating virtual tours, and Adobe's Flash 10. Readers learn important techniques through hands-on applications, and build on those skills as the book progresses. The companion website contains all code examples, video step-by-step explanations, and a collada repository.

  14. Innovative building automation concept for Pumavision Headquarters. Where Pimas are feeling well; Innovatives Gebaeudeautomationskonzept fuer Pumavision Headquarters. Wo Pumas sich wohl fuehlen sollen

    Energy Technology Data Exchange (ETDEWEB)

    Habermann, Ralf [IPM Gebaeudeleittechnik GmbH, Feucht bei Nuernberg (Germany); Kerz, Thomas [Siemens-Div. Building Technologies Deutschland, Frankfurt am Main (Germany). Business Unit CPS; Vogel, Helmut [Siemens-Div. Building Technologies Deutschland, Muenchen (Germany). Business Unit CPS Region Bayern

    2011-03-15

    The sport's and lifestyle company PUMA (Herzogenaurach, Federal Republic of Germany) claims the establishment of the first climate neutral corporate headquarter of its industry. Therefore, the electricity for the new 35,000 m{sup 2} large corporate headquarters exclusively results from renewable energy sources. The conversion of this goal is supported by the interdisciplinary building automation system Desigo from Siemens AG (Munich, Federal Republic of Germany). The basic heating and basic cooling of the main building are performed by a concrete core tempering. A part of the heating and cooling is produced by means of two heat pumps.

  15. 3D/2D model-to-image registration by imitation learning for cardiac procedures.

    Science.gov (United States)

    Toth, Daniel; Miao, Shun; Kurzendorfer, Tanja; Rinaldi, Christopher A; Liao, Rui; Mansi, Tommaso; Rhode, Kawal; Mountney, Peter

    2018-05-12

    In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challenge for fundamentally different image data, i.e., MR to X-ray. Registration methods must account for differences in intensity, contrast levels, resolution, dimensionality, field of view. Furthermore, same anatomical structures may not be visible in both modalities. Current approaches have focused on developing modality-specific solutions for individual clinical use cases, by introducing constraints, or identifying cross-modality information manually. Machine learning approaches have the potential to create more general registration platforms. However, training image to image methods would require large multimodal datasets and ground truth for each target application. This paper proposes a model-to-image registration approach instead, because it is common in image-guided interventions to create anatomical models for diagnosis, planning or guidance prior to procedures. An imitation learning-based method, trained on 702 datasets, is used to register preoperative models to intraoperative X-ray images. Accuracy is demonstrated on cardiac models and artificial X-rays generated from CTs. The registration error was [Formula: see text] on 1000 test cases, superior to that of manual ([Formula: see text]) and gradient-based ([Formula: see text]) registration. High robustness is shown in 19 clinical CRT cases. Besides the proposed methods feasibility in a clinical environment, evaluation has shown good accuracy and high robustness indicating that it could be applied in image-guided interventions.

  16. The Development of a Virtual 3D Model of the Renal Corpuscle from Serial Histological Sections for E-Learning Environments

    Science.gov (United States)

    Roth, Jeremy A.; Wilson, Timothy D.; Sandig, Martin

    2015-01-01

    Histology is a core subject in the anatomical sciences where learners are challenged to interpret two-dimensional (2D) information (gained from histological sections) to extrapolate and understand the three-dimensional (3D) morphology of cells, tissues, and organs. In gross anatomical education 3D models and learning tools have been associated…

  17. Potential Cost Savings with 3D Printing Combined With 3D Imaging and CPLM for Fleet Maintenance and Revitalization

    Science.gov (United States)

    2014-05-01

    1 Potential Cost Savings with 3D Printing Combined With 3D Imaging and CPLM for Fleet Maintenance and Revitalization David N. Ford...2014 4. TITLE AND SUBTITLE Potential Cost Savings with 3D Printing Combined With 3D Imaging and CPLM for Fleet Maintenance and Revitalization 5a...Manufacturing ( 3D printing ) 2 Research Context Problem: Learning curve savings forecasted in SHIPMAIN maintenance initiative have not materialized

  18. Feasibility Study for Ballet E-Learning: Automatic Composition System for Ballet "Enchainement" with Online 3D Motion Data Archive

    Science.gov (United States)

    Umino, Bin; Longstaff, Jeffrey Scott; Soga, Asako

    2009-01-01

    This paper reports on "Web3D dance composer" for ballet e-learning. Elementary "petit allegro" ballet steps were enumerated in collaboration with ballet teachers, digitally acquired through 3D motion capture systems, and categorised into families and sub-families. Digital data was manipulated into virtual reality modelling language (VRML) and fit…

  19. Evaluation of screening for oral cancer and precancer in a company headquarters.

    Science.gov (United States)

    Downer, M C; Evans, A W; Hughes Hallet, C M; Jullien, J A; Speight, P M; Zakrzewska, J M

    1995-04-01

    Oral cancer and precancer appear to fulfil many of the criteria for a disease suitable for mass screening. Several commercial organisations in the UK have introduced screening for their employees. One program has been formally evaluated over the course of 1 yr. Of 553 company headquarters staff aged > or = 40 yr, 292 (53%) responded to the well-publicised screening invitation and received a simple clinical examination of the oral mucosa from one of two company dentists. In addition, 17 staff were screened from a separate company work-site. After screening, subjects were examined independently by an oral medicine specialist with access to the relevant diagnostic aids. The dentists' screening decisions were validated against the specialist's definitive diagnoses (the 'gold standard'). The true prevalence of subjects with lesions diagnosed as positive (white patch, red patch or ulcer of greater than 2 weeks' duration) was 17 (5.5%). Overall, sensitivity was 0.71 and specificity, 0.99. The compliance rate to screening among headquarters subjects in seven occupational categories did not differ significantly from the occupational profile for all headquarters personnel. Estimates of relative risk of a positive diagnosis were calculated by logistic regression for five independent variables; gender, age, moderate smoking, heavy smoking, and smoking combined with greater than low risk alcohol consumption. Only heavy smoking (> or = 20 cigarettes per day) produced a significant odds ratio (3.43, P < 0.05).

  20. An Interactive 3D Virtual Anatomy Puzzle for Learning and Simulation - Initial Demonstration and Evaluation.

    Science.gov (United States)

    Messier, Erik; Wilcox, Jascha; Dawson-Elli, Alexander; Diaz, Gabriel; Linte, Cristian A

    2016-01-01

    To inspire young students (grades 6-12) to become medical practitioners and biomedical engineers, it is necessary to expose them to key concepts of the field in a way that is both exciting and informative. Recent advances in medical image acquisition, manipulation, processing, visualization, and display have revolutionized the approach in which the human body and internal anatomy can be seen and studied. It is now possible to collect 3D, 4D, and 5D medical images of patient specific data, and display that data to the end user using consumer level 3D stereoscopic display technology. Despite such advancements, traditional 2D modes of content presentation such as textbooks and slides are still the standard didactic equipment used to teach young students anatomy. More sophisticated methods of display can help to elucidate the complex 3D relationships between structures that are so often missed when viewing only 2D media, and can instill in students an appreciation for the interconnection between medicine and technology. Here we describe the design, implementation, and preliminary evaluation of a 3D virtual anatomy puzzle dedicated to helping users learn the anatomy of various organs and systems by manipulating 3D virtual data. The puzzle currently comprises several components of the human anatomy and can be easily extended to include additional organs and systems. The 3D virtual anatomy puzzle game was implemented and piloted using three display paradigms - a traditional 2D monitor, a 3D TV with active shutter glass, and the DK2 version Oculus Rift, as well as two different user interaction devices - a space mouse and traditional keyboard controls.

  1. Enhancing Learning within the 3-D Virtual Learning Environment

    OpenAIRE

    Shirin Shafieiyoun; Akbar Moazen Safaei

    2013-01-01

    Today’s using of virtual learning environments becomes more remarkable in education. The potential of virtual learning environments has frequently been related to the expansion of sense of social presence which is obtained from students and educators. This study investigated the effectiveness of social presence within virtual learning environments and analysed the impact of social presence on increasing learning satisfaction within virtual learning environments. Second Life, as an example of ...

  2. Recording stereoscopic 3D neurosurgery with a head-mounted 3D camera system.

    Science.gov (United States)

    Lee, Brian; Chen, Brian R; Chen, Beverly B; Lu, James Y; Giannotta, Steven L

    2015-06-01

    Stereoscopic three-dimensional (3D) imaging can present more information to the viewer and further enhance the learning experience over traditional two-dimensional (2D) video. Most 3D surgical videos are recorded from the operating microscope and only feature the crux, or the most important part of the surgery, leaving out other crucial parts of surgery including the opening, approach, and closing of the surgical site. In addition, many other surgeries including complex spine, trauma, and intensive care unit procedures are also rarely recorded. We describe and share our experience with a commercially available head-mounted stereoscopic 3D camera system to obtain stereoscopic 3D recordings of these seldom recorded aspects of neurosurgery. The strengths and limitations of using the GoPro(®) 3D system as a head-mounted stereoscopic 3D camera system in the operating room are reviewed in detail. Over the past several years, we have recorded in stereoscopic 3D over 50 cranial and spinal surgeries and created a library for education purposes. We have found the head-mounted stereoscopic 3D camera system to be a valuable asset to supplement 3D footage from a 3D microscope. We expect that these comprehensive 3D surgical videos will become an important facet of resident education and ultimately lead to improved patient care.

  3. Spacecraft 3D Augmented Reality Mobile App

    Science.gov (United States)

    Hussey, Kevin J.; Doronila, Paul R.; Kumanchik, Brian E.; Chan, Evan G.; Ellison, Douglas J.; Boeck, Andrea; Moore, Justin M.

    2013-01-01

    The Spacecraft 3D application allows users to learn about and interact with iconic NASA missions in a new and immersive way using common mobile devices. Using Augmented Reality (AR) techniques to project 3D renditions of the mission spacecraft into real-world surroundings, users can interact with and learn about Curiosity, GRAIL, Cassini, and Voyager. Additional updates on future missions, animations, and information will be ongoing. Using a printed AR Target and camera on a mobile device, users can get up close with these robotic explorers, see how some move, and learn about these engineering feats, which are used to expand knowledge and understanding about space. The software receives input from the mobile device's camera to recognize the presence of an AR marker in the camera's field of view. It then displays a 3D rendition of the selected spacecraft in the user's physical surroundings, on the mobile device's screen, while it tracks the device's movement in relation to the physical position of the spacecraft's 3D image on the AR marker.

  4. FABLAB PRONTO3D: learning with practice

    Directory of Open Access Journals (Sweden)

    Regiane Trevisan Pupo

    2017-11-01

    Full Text Available The recent development and use of digital fabrication techniques for architecture, product design, engineering, construction, among many others, has caused impact changes on design processes since its beginning until final construction. New construction methods have been developed with the use of those new techniques, spreading many ways of possibilities hardly achieved before. Nowadays, spaces called FABLABs offer a range of procedures and equipment that provide the manufacture of scale models, prototypes or final elements in different fidelity degrees. This paper shows the possibilities and activities being implemented, with the use of technology, at PRONTO3D - Prototyping and New 3D Oriented Technology Laboratory, at UFSC, that belongs to PRONTO3D Network Labs, in Santa Catarina State, since 2013.

  5. The Influence of Transverse CSR Structure on Headquarters/Subsidiary Integration

    Directory of Open Access Journals (Sweden)

    Luciano Barin Cruz

    2010-07-01

    Full Text Available Some studies have already highlighted the effects of the introduction of Corporate Social Responsibility [CSR] projects into Multinational Corporations’ [MNC] strategies. However, little attention has been paid to the influence of transverse CSR structure on headquarters/subsidiary integration. In this article, we begin with the following question: What is the influence of the introduction of a centralized/decentralized structure on conducting a CSR strategy in a MNC? Our main objective is to identify conditions through which the structure of the CSR department influences the CSR strategy of the MNC. We define transverse CSR structure as: (1 the existence of a CSR directory at the headquarters level and a CSR representative at the subsidiary level, and (2 the existence of representatives from different areas who participate in meetings or committees to make decisions about CSR strategy. We argue that a transverse CSR structure favors consideration of global and local CSR demands by headquarters and subsidiaries. This process takes place through the mediation of three main elements: information exchange, awareness activities and definition of objectives.

  6. 2D-Driven 3D Object Detection in RGB-D Images

    KAUST Repository

    Lahoud, Jean

    2017-12-25

    In this paper, we present a technique that places 3D bounding boxes around objects in an RGB-D scene. Our approach makes best use of the 2D information to quickly reduce the search space in 3D, benefiting from state-of-the-art 2D object detection techniques. We then use the 3D information to orient, place, and score bounding boxes around objects. We independently estimate the orientation for every object, using previous techniques that utilize normal information. Object locations and sizes in 3D are learned using a multilayer perceptron (MLP). In the final step, we refine our detections based on object class relations within a scene. When compared to state-of-the-art detection methods that operate almost entirely in the sparse 3D domain, extensive experiments on the well-known SUN RGB-D dataset [29] show that our proposed method is much faster (4.1s per image) in detecting 3D objects in RGB-D images and performs better (3 mAP higher) than the state-of-the-art method that is 4.7 times slower and comparably to the method that is two orders of magnitude slower. This work hints at the idea that 2D-driven object detection in 3D should be further explored, especially in cases where the 3D input is sparse.

  7. Physical fitness and health education program at NASA Headquarters

    Science.gov (United States)

    Angotti, Cathy

    1993-01-01

    The topics discussed include the following: policy procedures to enter the NASA Headquarters Physical Fitness and Health Program; eligibility; TDY eligibility; health promotions offered; and general facility management.

  8. WE-G-18A-04: 3D Dictionary Learning Based Statistical Iterative Reconstruction for Low-Dose Cone Beam CT Imaging

    International Nuclear Information System (INIS)

    Bai, T; Yan, H; Shi, F; Jia, X; Jiang, Steve B.; Lou, Y; Xu, Q; Mou, X

    2014-01-01

    Purpose: To develop a 3D dictionary learning based statistical reconstruction algorithm on graphic processing units (GPU), to improve the quality of low-dose cone beam CT (CBCT) imaging with high efficiency. Methods: A 3D dictionary containing 256 small volumes (atoms) of 3x3x3 voxels was trained from a high quality volume image. During reconstruction, we utilized a Cholesky decomposition based orthogonal matching pursuit algorithm to find a sparse representation on this dictionary basis of each patch in the reconstructed image, in order to regularize the image quality. To accelerate the time-consuming sparse coding in the 3D case, we implemented our algorithm in a parallel fashion by taking advantage of the tremendous computational power of GPU. Evaluations are performed based on a head-neck patient case. FDK reconstruction with full dataset of 364 projections is used as the reference. We compared the proposed 3D dictionary learning based method with a tight frame (TF) based one using a subset data of 121 projections. The image qualities under different resolutions in z-direction, with or without statistical weighting are also studied. Results: Compared to the TF-based CBCT reconstruction, our experiments indicated that 3D dictionary learning based CBCT reconstruction is able to recover finer structures, to remove more streaking artifacts, and is less susceptible to blocky artifacts. It is also observed that statistical reconstruction approach is sensitive to inconsistency between the forward and backward projection operations in parallel computing. Using high a spatial resolution along z direction helps improving the algorithm robustness. Conclusion: 3D dictionary learning based CBCT reconstruction algorithm is able to sense the structural information while suppressing noise, and hence to achieve high quality reconstruction. The GPU realization of the whole algorithm offers a significant efficiency enhancement, making this algorithm more feasible for potential

  9. WE-G-18A-04: 3D Dictionary Learning Based Statistical Iterative Reconstruction for Low-Dose Cone Beam CT Imaging

    Energy Technology Data Exchange (ETDEWEB)

    Bai, T [Xi' an Jiaotong University, Xi' an (China); UT Southwestern Medical Center, Dallas, TX (United States); Yan, H; Shi, F; Jia, X; Jiang, Steve B. [UT Southwestern Medical Center, Dallas, TX (United States); Lou, Y [University of California Irvine, Irvine, CA (United States); Xu, Q; Mou, X [Xi' an Jiaotong University, Xi' an (China)

    2014-06-15

    Purpose: To develop a 3D dictionary learning based statistical reconstruction algorithm on graphic processing units (GPU), to improve the quality of low-dose cone beam CT (CBCT) imaging with high efficiency. Methods: A 3D dictionary containing 256 small volumes (atoms) of 3x3x3 voxels was trained from a high quality volume image. During reconstruction, we utilized a Cholesky decomposition based orthogonal matching pursuit algorithm to find a sparse representation on this dictionary basis of each patch in the reconstructed image, in order to regularize the image quality. To accelerate the time-consuming sparse coding in the 3D case, we implemented our algorithm in a parallel fashion by taking advantage of the tremendous computational power of GPU. Evaluations are performed based on a head-neck patient case. FDK reconstruction with full dataset of 364 projections is used as the reference. We compared the proposed 3D dictionary learning based method with a tight frame (TF) based one using a subset data of 121 projections. The image qualities under different resolutions in z-direction, with or without statistical weighting are also studied. Results: Compared to the TF-based CBCT reconstruction, our experiments indicated that 3D dictionary learning based CBCT reconstruction is able to recover finer structures, to remove more streaking artifacts, and is less susceptible to blocky artifacts. It is also observed that statistical reconstruction approach is sensitive to inconsistency between the forward and backward projection operations in parallel computing. Using high a spatial resolution along z direction helps improving the algorithm robustness. Conclusion: 3D dictionary learning based CBCT reconstruction algorithm is able to sense the structural information while suppressing noise, and hence to achieve high quality reconstruction. The GPU realization of the whole algorithm offers a significant efficiency enhancement, making this algorithm more feasible for potential

  10. Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.

    Science.gov (United States)

    Bai, Ti; Yan, Hao; Jia, Xun; Jiang, Steve; Wang, Ge; Mou, Xuanqin

    2017-12-01

    Despite the rapid developments of X-ray cone-beam CT (CBCT), image noise still remains a major issue for the low dose CBCT. To suppress the noise effectively while retain the structures well for low dose CBCT image, in this paper, a sparse constraint based on the 3-D dictionary is incorporated into a regularized iterative reconstruction framework, defining the 3-D dictionary learning (3-DDL) method. In addition, by analyzing the sparsity level curve associated with different regularization parameters, a new adaptive parameter selection strategy is proposed to facilitate our 3-DDL method. To justify the proposed method, we first analyze the distributions of the representation coefficients associated with the 3-D dictionary and the conventional 2-D dictionary to compare their efficiencies in representing volumetric images. Then, multiple real data experiments are conducted for performance validation. Based on these results, we found: 1) the 3-D dictionary-based sparse coefficients have three orders narrower Laplacian distribution compared with the 2-D dictionary, suggesting the higher representation efficiencies of the 3-D dictionary; 2) the sparsity level curve demonstrates a clear Z-shape, and hence referred to as Z-curve, in this paper; 3) the parameter associated with the maximum curvature point of the Z-curve suggests a nice parameter choice, which could be adaptively located with the proposed Z-index parameterization (ZIP) method; 4) the proposed 3-DDL algorithm equipped with the ZIP method could deliver reconstructions with the lowest root mean squared errors and the highest structural similarity index compared with the competing methods; 5) similar noise performance as the regular dose FDK reconstruction regarding the standard deviation metric could be achieved with the proposed method using (1/2)/(1/4)/(1/8) dose level projections. The contrast-noise ratio is improved by ~2.5/3.5 times with respect to two different cases under the (1/8) dose level compared

  11. 3D animation model with augmented reality for natural science learning in elementary school

    Science.gov (United States)

    Hendajani, F.; Hakim, A.; Lusita, M. D.; Saputra, G. E.; Ramadhana, A. P.

    2018-05-01

    Many opinions from primary school students' on Natural Science are a difficult lesson. Many subjects are not easily understood by students, especially on materials that teach some theories about natural processes. Such as rain process, condensation and many other processes. The difficulty that students experience in understanding it is that students cannot imagine the things that have been taught in the material. Although there is material to practice some theories but is actually quite limited. There is also a video or simulation material in the form of 2D animated images. Understanding concepts in natural science lessons are also poorly understood by students. Natural Science learning media uses 3-dimensional animation models (3D) with augmented reality technology, which offers some visualization of science lessons. This application was created to visualize a process in Natural Science subject matter. The hope of making this application is to improve student's concept. This app is made to run on a personal computer that comes with a webcam with augmented reality. The app will display a 3D animation if the camera can recognize the marker.

  12. 3D virtual table in anatomy education

    DEFF Research Database (Denmark)

    Dahl, Mads Ronald; Simonsen, Eivind Ortind

    The ‘Anatomage’ is a 3D virtual human anatomy table, with touchscreen functionality, where it is possible to upload CT-scans and digital. Learning the human anatomy terminology requires time, a very good memory, anatomy atlas, books and lectures. Learning the 3 dimensional structure, connections...

  13. Corporate headquarters as physical embodiments of organisational change

    NARCIS (Netherlands)

    van Marrewijk, A.H.

    2009-01-01

    Purpose: The purpose of this paper is to explore the interdependency of corporate architecture and organisation cultural change. Corporate headquarters have become symbols of corporate change ambitions to endure cultural value sets. The paper seeks to contribute to the growing interest in the

  14. Habit learning and the genetics of the dopamine D3 receptor: evidence from patients with schizophrenia and healthy controls.

    Science.gov (United States)

    Kéri, Szabolcs; Juhász, Anna; Rimanóczy, Agnes; Szekeres, György; Kelemen, Oguz; Cimmer, Csongor; Szendi, István; Benedek, György; Janka, Zoltán

    2005-06-01

    In this study, the authors investigated the relationship between the Ser9Gly (SG) polymorphism of the dopamine D3 receptor (DRD3) and striatal habit learning in healthy controls and patients with schizophrenia. Participants were given the weather prediction task, during which probabilistic cue-response associations were learned for tarot cards and weather outcomes (rain or sunshine). In both healthy controls and patients with schizophrenia, participants with Ser9Ser (SS) genotype did not learn during the early phase of the task (1-50 trials), whereas participants with SG genotype did so. During the late phase of the task (51-100 trials), both participants with SS and SG genotype exhibited significant learning. Learning rate was normal in patients with schizophrenia. These results suggest that the DRD3 variant containing glycine is associated with more efficient striatal habit learning in healthy controls and patients with schizophrenia. (c) 2005 APA, all rights reserved.

  15. INTERACTIVE 3D SYSTEMS OF VIRTUAL REALITY AS ONE OF THE DIRECTIONS FOR EVOLUTION OF DISTANCE LEARNING TECHNOLOGIES IN HIGHER SCOOL

    Directory of Open Access Journals (Sweden)

    Д В Сенашенко

    2016-12-01

    Full Text Available The article describes history of 3D virtual interactive technology developing and gives story of it’s using for different business companies and universities. Statistical analysis of target audience is provided. Features of such systems are described. Particularly author mentions functionality and advantages of 3D-systmes as one of long-term distant learning technology during educational program realization and formulates arguments for introduction of this technology to distant education systems of Russian Higher school. Discusses usability of it for distance learning in high school.

  16. When Do Distance Effects Become Empirically Observable? An Investigation in the Context of Headquarters Value Creation for Subsidiaries

    OpenAIRE

    Beugelsdijk, Sjoerd; Nell, Phillip C.; Ambos, Björn

    2017-01-01

    Integrating distance research with the behavioral strategy literature on MNC headquarters-subsidiary relations, this paper explores how the distance between headquarters and subsidiaries relates to value added by the headquarters. We show for 124 manufacturing subsidiaries in Europe that, on average, distance is unrelated to value added by headquarters but that this effect is contingent upon the extent to which the subsidiary is locally embedded. Only after a certain threshold level of subsid...

  17. AutoCAD Civil 3D 2014 essentials

    CERN Document Server

    Chappell, Eric

    2013-01-01

    Quickly learn essential Civil 3D tools and techniques Get a thorough introduction to AutoCAD Civil 3D, the industry-leading engineering software used to design roads, highways, subdivisions, drainage and sewer systems, and more. This Autodesk Official Press book is a unique learning resource that features concise, straightforward explanations and real-world, hands-on exercises and tutorials. With compelling full-color screenshots and approachable exercises that demonstrate core features and functions, the book helps you gain understanding and confidence as you master this premiere

  18. When Do Distance Effects Become Empirically Observable? An Investigation in the Context of Headquarters Value Creation for Subsidiaries

    NARCIS (Netherlands)

    Beugelsdijk, Sjoerd; Nell, Phillip C.; Ambosd, Bjoern

    Integrating distance research with the behavioral strategy literature on MNC headquarters-subsidiary relations, this paper explores how the distance between headquarters and subsidiaries relates to value added by the headquarters. We show for 124 manufacturing subsidiaries in Europe that, on

  19. Enhancing Cognitive Theory of Multimedia Leaning through 3D Animation

    Directory of Open Access Journals (Sweden)

    Zeeshan Bhatti

    2017-12-01

    Full Text Available Cognitive theory of Multimedia learning has been a widely used principle in education. However, with current technological advancements and usage, the teaching and learning trend of children’s have also changed with more dependability towards technology. This research work explores and implement the use of 3D Animation as tool for multimedia learning based on cognitive theory. This new dimension in cognitive learning, will foster the latest multimedia tools and application driven through 3D Animation, Virtual Reality and Augmented Reality. The three principles, that facilitate cognitive theory of multimedia learning using animation, addressed in this research are temporal contiguity principle (screening matching narration with animation simultaneously rather than successively, personalization principle (screening text or dialogs in casual form rather than formal style and finally the multimedia principle (screen animation and audio narration together instead of just narration. The result of this new model would yield a new technique of educating the young children through 3D animation and virtual reality. The adaptation of  cognitive theory through 3D animation as a source of multimedia learning with various key principles produces a reliable paradigm for educational enhancement.

  20. iSocial: delivering the Social Competence Intervention for Adolescents (SCI-A) in a 3D virtual learning environment for youth with high functioning autism.

    Science.gov (United States)

    Stichter, Janine P; Laffey, James; Galyen, Krista; Herzog, Melissa

    2014-02-01

    One consistent area of need for students with autism spectrum disorders is in the area of social competence. However, the increasing need to provide qualified teachers to deliver evidence-based practices in areas like social competence leave schools, such as those found in rural areas, in need of support. Distance education and in particular, 3D Virtual Learning, holds great promise for supporting schools and youth to gain social competence through knowledge and social practice in context. iSocial, a distance education, 3D virtual learning environment implemented the 31-lesson social competence intervention for adolescents across three small cohorts totaling 11 students over a period of 4 months. Results demonstrated that the social competence curriculum was delivered with fidelity in the 3D virtual learning environment. Moreover, learning outcomes suggest that the iSocial approach shows promise for social competence benefits for youth.

  1. local government headquarters and spatial interaction within rivers

    African Journals Online (AJOL)

    user

    headquarters and rural hinterland settlements in Rivers South East ... of Rivers State is responsible for over seventy percent (70%) of the total employment in the ... even proportion and balanced development for all could not completely ... Rivers West ... agricultural under development, unemployment, poor quality of life due.

  2. Cross-Modality 2D-3D Face Recognition via Multiview Smooth Discriminant Analysis Based on ELM

    Directory of Open Access Journals (Sweden)

    Yi Jin

    2014-01-01

    Full Text Available In recent years, 3D face recognition has attracted increasing attention from worldwide researchers. Rather than homogeneous face data, more and more applications require flexible input face data nowadays. In this paper, we propose a new approach for cross-modality 2D-3D face recognition (FR, which is called Multiview Smooth Discriminant Analysis (MSDA based on Extreme Learning Machines (ELM. Adding the Laplacian penalty constrain for the multiview feature learning, the proposed MSDA is first proposed to extract the cross-modality 2D-3D face features. The MSDA aims at finding a multiview learning based common discriminative feature space and it can then fully utilize the underlying relationship of features from different views. To speed up the learning phase of the classifier, the recent popular algorithm named Extreme Learning Machine (ELM is adopted to train the single hidden layer feedforward neural networks (SLFNs. To evaluate the effectiveness of our proposed FR framework, experimental results on a benchmark face recognition dataset are presented. Simulations show that our new proposed method generally outperforms several recent approaches with a fast training speed.

  3. Immersive 3D geovisualisation in higher education

    Science.gov (United States)

    Philips, Andrea; Walz, Ariane; Bergner, Andreas; Graeff, Thomas; Heistermann, Maik; Kienzler, Sarah; Korup, Oliver; Lipp, Torsten; Schwanghart, Wolfgang; Zeilinger, Gerold

    2014-05-01

    Through geovisualisation we explore spatial data, we analyse it towards a specific questions, we synthesise results, and we present and communicate them to a specific audience (MacEachren & Kraak 1997). After centuries of paper maps, the means to represent and visualise our physical environment and its abstract qualities have changed dramatically since the 1990s - and accordingly the methods how to use geovisualisation in teaching. Whereas some people might still consider the traditional classroom as ideal setting for teaching and learning geographic relationships and its mapping, we used a 3D CAVE (computer-animated virtual environment) as environment for a problem-oriented learning project called "GEOSimulator". Focussing on this project, we empirically investigated, if such a technological advance like the CAVE make 3D visualisation, including 3D geovisualisation, not only an important tool for businesses (Abulrub et al. 2012) and for the public (Wissen et al. 2008), but also for educational purposes, for which it had hardly been used yet. The 3D CAVE is a three-sided visualisation platform, that allows for immersive and stereoscopic visualisation of observed and simulated spatial data. We examined the benefits of immersive 3D visualisation for geographic research and education and synthesized three fundamental technology-based visual aspects: First, the conception and comprehension of space and location does not need to be generated, but is instantaneously and intuitively present through stereoscopy. Second, optical immersion into virtual reality strengthens this spatial perception which is in particular important for complex 3D geometries. And third, a significant benefit is interactivity, which is enhanced through immersion and allows for multi-discursive and dynamic data exploration and knowledge transfer. Based on our problem-oriented learning project, which concentrates on a case study on flood risk management at the Wilde Weisseritz in Germany, a river

  4. 3D Reconstruction of human bones based on dictionary learning.

    Science.gov (United States)

    Zhang, Binkai; Wang, Xiang; Liang, Xiao; Zheng, Jinjin

    2017-11-01

    An effective method for reconstructing a 3D model of human bones from computed tomography (CT) image data based on dictionary learning is proposed. In this study, the dictionary comprises the vertices of triangular meshes, and the sparse coefficient matrix indicates the connectivity information. For better reconstruction performance, we proposed a balance coefficient between the approximation and regularisation terms and a method for optimisation. Moreover, we applied a local updating strategy and a mesh-optimisation method to update the dictionary and the sparse matrix, respectively. The two updating steps are iterated alternately until the objective function converges. Thus, a reconstructed mesh could be obtained with high accuracy and regularisation. The experimental results show that the proposed method has the potential to obtain high precision and high-quality triangular meshes for rapid prototyping, medical diagnosis, and tissue engineering. Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.

  5. Active learning in the lecture theatre using 3D printed objects [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    David P. Smith

    2016-06-01

    Full Text Available The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme’s active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student.

  6. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.

    Science.gov (United States)

    Zhou, Xiangrong; Takayama, Ryosuke; Wang, Song; Hara, Takeshi; Fujita, Hiroshi

    2017-10-01

    We propose a single network trained by pixel-to-label deep learning to address the general issue of automatic multiple organ segmentation in three-dimensional (3D) computed tomography (CT) images. Our method can be described as a voxel-wise multiple-class classification scheme for automatically assigning labels to each pixel/voxel in a 2D/3D CT image. We simplify the segmentation algorithms of anatomical structures (including multiple organs) in a CT image (generally in 3D) to a majority voting scheme over the semantic segmentation of multiple 2D slices drawn from different viewpoints with redundancy. The proposed method inherits the spirit of fully convolutional networks (FCNs) that consist of "convolution" and "deconvolution" layers for 2D semantic image segmentation, and expands the core structure with 3D-2D-3D transformations to adapt to 3D CT image segmentation. All parameters in the proposed network are trained pixel-to-label from a small number of CT cases with human annotations as the ground truth. The proposed network naturally fulfills the requirements of multiple organ segmentations in CT cases of different sizes that cover arbitrary scan regions without any adjustment. The proposed network was trained and validated using the simultaneous segmentation of 19 anatomical structures in the human torso, including 17 major organs and two special regions (lumen and content inside of stomach). Some of these structures have never been reported in previous research on CT segmentation. A database consisting of 240 (95% for training and 5% for testing) 3D CT scans, together with their manually annotated ground-truth segmentations, was used in our experiments. The results show that the 19 structures of interest were segmented with acceptable accuracy (88.1% and 87.9% voxels in the training and testing datasets, respectively, were labeled correctly) against the ground truth. We propose a single network based on pixel-to-label deep learning to address the challenging

  7. Why 3D Print? The 21st-Century Skills Students Develop While Engaging in 3D Printing Projects

    Science.gov (United States)

    Trust, Torrey; Maloy, Robert W.

    2017-01-01

    The emergence of 3D printing has raised hopes and concerns about how it can be used effectively as an educational technology in school classrooms. This paper presents the results of a survey asking teachers from multiple grade levels and subject fields about the impact of 3D projects on student learning. Teachers were asked about the kinds of 3D…

  8. D.3.1 PLOT Persuasive Learning Design Framework

    DEFF Research Database (Denmark)

    Gram-Hansen, Sandra Burri; Schärfe, Henrik; Dinesen, Jens Vilhelm

    2011-01-01

    offer examples of central issues in learning theories can be aligned with persuasive efforts as seen from a rhetorical point of view. In section 3, we continue the work of defining intersections between persuasion and didactics, where more specifically oriented towards the notions of kairos...

  9. 3D technology in fine art and craft exploring 3D printing, scanning, sculpting and milling

    CERN Document Server

    Mongeon, Bridgette

    2015-01-01

    The possibilities for creation are endless with 3D printing, sculpting, scanning, and milling, and new opportunities are popping up faster than artists can keep up with them. 3D Technology in Fine Art and Craft takes the mystery out of these exciting new processes by demonstrating how to navigate their digital components and showing their real world applications. Artists will learn to incorporate these new technologies into their studio work and see their creations come to life in a physical form never before possible. Featuring a primer on 3D basics for beginners,interviews, tutorials, and ar

  10. The WEBD project: a research of new methodologies for a distant-learning 3D system prototype.

    Science.gov (United States)

    Cemenasco, A F; Bianchi, C C; Tornincasa, S; Bianchi, S D

    2004-11-01

    To create and to spread a new interactive multimedia instrument, based upon virtual reality technologies, that allows both the running simulation of machines and equipment and the reproduction via Web of complex three-dimensional (3D) anatomical models such as the skull. There were two main aspects of the project, one of design engineering and the other biomedical engineering, for the creation of "artificial" and anatomical objects. The former were made with 3D Studio Max R4 by Autodesk, San Rafael, CA, while the latter were created starting from real bones scanned with a CT system or a surface scanner and elaborated with different programs (3D Studio Max R4, Scenebuilder by Viewpoint, New York, NY and Spinfire by Actify, San Francisco, CA). The 3D models were to be integrated into web modules and had to respect file limits while preserving a sufficient definition. Two systems of evaluation were used, a questionnaire on a selected sample and an external evaluation by a different university. The Viewpoint format offers the best interactivity and size reduction (up to 96% from the original 3D model). The created modules included production of radiological images, rapid prototyping, and anatomy. The complete "3D Distant Learning Prototype" is available at www.webd.etsii.upm.es. The software currently available permits the construction of interactive modules. The verification on the selected sample and the evaluation by the University of Naples show that the structure is well organized and that the integration of the 3D models meets the requirements.

  11. 3D immersive patient simulators and their impact on learning success: a thematic review.

    Science.gov (United States)

    Kleinert, Robert; Wahba, Roger; Chang, De-Hua; Plum, Patrick; Hölscher, Arnulf H; Stippel, Dirk L

    2015-04-08

    Immersive patient simulators (IPSs) combine the simulation of virtual patients with a three-dimensional (3D) environment and, thus, allow an illusionary immersion into a synthetic world, similar to computer games. Playful learning in a 3D environment is motivating and allows repetitive training and internalization of medical workflows (ie, procedural knowledge) without compromising real patients. The impact of this innovative educational concept on learning success requires review of feasibility and validity. It was the aim of this paper to conduct a survey of all immersive patient simulators currently available. In addition, we address the question of whether the use of these simulators has an impact on knowledge gain by summarizing the existing validation studies. A systematic literature search via PubMed was performed using predefined inclusion criteria (ie, virtual worlds, focus on education of medical students, validation testing) to identify all available simulators. Validation testing was defined as the primary end point. There are currently 13 immersive patient simulators available. Of these, 9 are Web-based simulators and represent feasibility studies. None of these simulators are used routinely for student education. The workstation-based simulators are commercially driven and show a higher quality in terms of graphical quality and/or data content. Out of the studies, 1 showed a positive correlation between simulated content and real content (ie, content validity). There was a positive correlation between the outcome of simulator training and alternative training methods (ie, concordance validity), and a positive coherence between measured outcome and future professional attitude and performance (ie, predictive validity). IPSs can promote learning and consolidation of procedural knowledge. The use of immersive patient simulators is still marginal, and technical and educational approaches are heterogeneous. Academic-driven IPSs could possibly enhance the

  12. Managing Market Segmentatıon for Dıfferent Brands of the same Headquarter

    Directory of Open Access Journals (Sweden)

    Ahmet Hakan Özkan

    2016-10-01

    Full Text Available Brand management is inevitable for sustainable marketing. Civil aviation companies focus on sustainable marketing, because of their long-term investments. Customer loyalty is one of the most improtant factors of sustainable marketing. It is known that, if there is no certain limit or border, segmentation damages the reputation of the brands and it is one of the most important threats of sustainable marketing. Segmentation can be done by using new brands, but this process has its own constraints. Such constraints are related with the reputability of the company. To evaluate the impact of a new brand on reputability, service quality is taken as a metric and SERVQUAL is used. The customers of two civil aviation companies participated the study. These two aviation companies have the same headquarter, but they have different brand management strategies. One of them is globally reputable and it is the headquarter company. 166 questionnaires of the 83 participants are evaluated. It is seen that the service quality perception on the brand of the headquarter company did not change and the new brand did not effect its reputability. New brand created its own market or took a share from the other civil aviation companies which attract the customers of the headquarter company with their lower prices.

  13. The Essential Guide to 3D in Flash

    CERN Document Server

    Olsson, Ronald A

    2010-01-01

    If you are an ActionScript developer or designer and you would like to work with 3D in Flash, this book is for you. You will learn the core Flash 3D concepts, using the open source Away3D engine as a primary tool. Once you have mastered these skills, you will be able to realize the possibilities that the available Flash 3D engines, languages, and technologies have to offer you with Flash and 3D.* Describes 3D concepts in theory and their implementation using Away3D* Dives right in to show readers how to quickly create an interactive, animated 3D scene, and builds on that experience throughout

  14. Learning-based 3D surface optimization from medical image reconstruction

    Science.gov (United States)

    Wei, Mingqiang; Wang, Jun; Guo, Xianglin; Wu, Huisi; Xie, Haoran; Wang, Fu Lee; Qin, Jing

    2018-04-01

    Mesh optimization has been studied from the graphical point of view: It often focuses on 3D surfaces obtained by optical and laser scanners. This is despite the fact that isosurfaced meshes of medical image reconstruction suffer from both staircases and noise: Isotropic filters lead to shape distortion, while anisotropic ones maintain pseudo-features. We present a data-driven method for automatically removing these medical artifacts while not introducing additional ones. We consider mesh optimization as a combination of vertex filtering and facet filtering in two stages: Offline training and runtime optimization. In specific, we first detect staircases based on the scanning direction of CT/MRI scanners, and design a staircase-sensitive Laplacian filter (vertex-based) to remove them; and then design a unilateral filtered facet normal descriptor (uFND) for measuring the geometry features around each facet of a given mesh, and learn the regression functions from a set of medical meshes and their high-resolution reference counterparts for mapping the uFNDs to the facet normals of the reference meshes (facet-based). At runtime, we first perform staircase-sensitive Laplacian filter on an input MC (Marching Cubes) mesh, and then filter the mesh facet normal field using the learned regression functions, and finally deform it to match the new normal field for obtaining a compact approximation of the high-resolution reference model. Tests show that our algorithm achieves higher quality results than previous approaches regarding surface smoothness and surface accuracy.

  15. 3D AutoSysLab Prototype - A Social, Immersive and Mixed Reality Approach for Collaborative Learning Environments

    Directory of Open Access Journals (Sweden)

    Carlos Eduardo Pereira

    2012-04-01

    Full Text Available Recent evolutions of social networks, virtual environments, Web technologies and 3D virtual worlds motivate the adoption of new technologies in education, opening successive innovative possibilities. These technologies (or tools can be employed in distance education scenarios, or can also enhance traditional learning-teaching (blended or hybrid learning scenario. It is known and a wide advocated issue that laboratory practice is essential to technical education, foremost in engineering. In order to develop a feasible implementation to this research area, a prototype was developed, called 3DAutoSysLab, in which a metaverse is used as social collaborative interface, experiments (real or simulated are linked to virtual objects, learning objects are displayed as interactive medias, and guiding/feedback are supported via an autonomous tutoring system based on user's interaction data mining. This prototype is under test, but preliminary applied results indicate great acceptance and increase of motivation of students.

  16. Immersive 3D Geovisualization in Higher Education

    Science.gov (United States)

    Philips, Andrea; Walz, Ariane; Bergner, Andreas; Graeff, Thomas; Heistermann, Maik; Kienzler, Sarah; Korup, Oliver; Lipp, Torsten; Schwanghart, Wolfgang; Zeilinger, Gerold

    2015-01-01

    In this study, we investigate how immersive 3D geovisualization can be used in higher education. Based on MacEachren and Kraak's geovisualization cube, we examine the usage of immersive 3D geovisualization and its usefulness in a research-based learning module on flood risk, called GEOSimulator. Results of a survey among participating students…

  17. Collaborative Virtual 3D Environment for Internet-Accessible Physics Experiments

    Directory of Open Access Journals (Sweden)

    Bettina Scheucher

    2009-08-01

    Full Text Available Abstract—Immersive 3D worlds have increasingly raised the interest of researchers and practitioners for various learning and training settings over the last decade. These virtual worlds can provide multiple communication channels between users and improve presence and awareness in the learning process. Consequently virtual 3D environments facilitate collaborative learning and training scenarios. In this paper we focus on the integration of internet-accessible physics experiments (iLabs combined with the TEALsim 3D simulation toolkit in Project Wonderland, Sun's toolkit for creating collaborative 3D virtual worlds. Within such a collaborative environment these tools provide the opportunity for teachers and students to work together as avatars as they control actual equipment, visualize physical phenomenon generated by the experiment, and discuss the results. In particular we will outline the steps of integration, future goals, as well as the value of a collaboration space in Wonderland's virtual world.

  18. A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals.

    Science.gov (United States)

    Bamatraf, Saeed; Hussain, Muhammad; Aboalsamh, Hatim; Qazi, Emad-Ul-Haq; Malik, Amir Saeed; Amin, Hafeez Ullah; Mathkour, Hassan; Muhammad, Ghulam; Imran, Hafiz Muhammad

    2016-01-01

    We studied the impact of 2D and 3D educational contents on learning and memory recall using electroencephalography (EEG) brain signals. For this purpose, we adopted a classification approach that predicts true and false memories in case of both short term memory (STM) and long term memory (LTM) and helps to decide whether there is a difference between the impact of 2D and 3D educational contents. In this approach, EEG brain signals are converted into topomaps and then discriminative features are extracted from them and finally support vector machine (SVM) which is employed to predict brain states. For data collection, half of sixty-eight healthy individuals watched the learning material in 2D format whereas the rest watched the same material in 3D format. After learning task, memory recall tasks were performed after 30 minutes (STM) and two months (LTM), and EEG signals were recorded. In case of STM, 97.5% prediction accuracy was achieved for 3D and 96.6% for 2D and, in case of LTM, it was 100% for both 2D and 3D. The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D materials do not have much difference in case of STM and LTM.

  19. 3D Cloud Field Prediction using A-Train Data and Machine Learning Techniques

    Science.gov (United States)

    Johnson, C. L.

    2017-12-01

    Validation of cloud process parameterizations used in global climate models (GCMs) would greatly benefit from observed 3D cloud fields at the size comparable to that of a GCM grid cell. For the highest resolution simulations, surface grid cells are on the order of 100 km by 100 km. CloudSat/CALIPSO data provides 1 km width of detailed vertical cloud fraction profile (CFP) and liquid and ice water content (LWC/IWC). This work utilizes four machine learning algorithms to create nonlinear regressions of CFP, LWC, and IWC data using radiances, surface type and location of measurement as predictors and applies the regression equations to off-track locations generating 3D cloud fields for 100 km by 100 km domains. The CERES-CloudSat-CALIPSO-MODIS (C3M) merged data set for February 2007 is used. Support Vector Machines, Artificial Neural Networks, Gaussian Processes and Decision Trees are trained on 1000 km of continuous C3M data. Accuracy is computed using existing vertical profiles that are excluded from the training data and occur within 100 km of the training data. Accuracy of the four algorithms is compared. Average accuracy for one day of predicted data is 86% for the most successful algorithm. The methodology for training the algorithms, determining valid prediction regions and applying the equations off-track is discussed. Predicted 3D cloud fields are provided as inputs to the Ed4 NASA LaRC Fu-Liou radiative transfer code and resulting TOA radiances compared to observed CERES/MODIS radiances. Differences in computed radiances using predicted profiles and observed radiances are compared.

  20. Sex differences, learning flexibility, and striatal dopamine D1 and D2 following adolescent drug exposure in rats

    Science.gov (United States)

    Izquierdo, Alicia; Pozos, Hilda; De La Torre, Adrianna; DeShields, Simone; Cevallos, James; Rodriguez, Jonathan; Stolyarova, Alexandra

    2016-01-01

    Corticostriatal circuitry supports flexible reward learning and emotional behavior from the critical neurodevelopmental stage of adolescence through adulthood. It is still poorly understood how prescription drug exposure in adolescence may impact these outcomes in the long-term. We studied adolescent methylphenidate (MPH) and fluoxetine (FLX) exposure in rats and their impact on learning and emotion in adulthood. In Experiment 1, male and female rats were administered MPH, FLX, or saline (SAL), and compared with methamphetamine (mAMPH) treatment beginning in postnatal day (PND) 37. The rats were then tested on discrimination and reversal learning in adulthood. In Experiment 2, animals were administered MPH or SAL also beginning in PND 37 and later tested in adulthood for anxiety levels. In Experiment 3, we analyzed striatal dopamine D1 and D2 receptor expression in adulthood following either extensive learning (after Experiment 1) or more brief emotional measures (after Experiment 2). We found sex differences in discrimination learning and attenuated reversal learning after MPH and only sex differences in adulthood anxiety. In learners, there was enhanced striatal D1, but not D2, after either adolescent MPH or mAMPH. Lastly, also in learners, there was a sex x treatment group interaction for D2, but not D1, driven by the MPH-pretreated females, who expressed significantly higher D2 levels compared to SAL. These results show enduring effects of adolescent MPH on reversal learning in rats. Developmental psychostimulant exposure may interact with learning to enhance D1 expression in adulthood, and affect D2 expression in a sex-dependent manner. PMID:27091300

  1. Wireless Rover Meets 3D Design and Product Development

    Science.gov (United States)

    Deal, Walter F., III; Hsiung, Steve C.

    2016-01-01

    Today there are a number of 3D printing technologies that are low cost and within the budgets of middle and high school programs. Educational technology companies offer a variety of 3D printing technologies and parallel curriculum materials to enable technology and engineering teachers to easily add 3D learning activities to their programs.…

  2. Nonlinear Synchronization for Automatic Learning of 3D Pose Variability in Human Motion Sequences

    Directory of Open Access Journals (Sweden)

    Mozerov M

    2010-01-01

    Full Text Available A dense matching algorithm that solves the problem of synchronizing prerecorded human motion sequences, which show different speeds and accelerations, is proposed. The approach is based on minimization of MRF energy and solves the problem by using Dynamic Programming. Additionally, an optimal sequence is automatically selected from the input dataset to be a time-scale pattern for all other sequences. The paper utilizes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. The model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is automatically learnt. Additionally, statistics about the observed variability of the postures and motion direction are also computed at each time step. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes.

  3. Getting started in 3D with Maya

    CERN Document Server

    Watkins, Adam

    2012-01-01

    Deliver professional-level 3D content in no time with this comprehensive guide to 3D animation with Maya. With over 12 years of training experience, plus several award winning students under his belt, author Adam Watkins is the ideal mentor to get you up to speed with 3D in Maya. Using a structured and pragmatic approach Getting Started in 3D with Maya begins with basic theory of fundamental techniques, then builds on this knowledge using practical examples and projects to put your new skills to the test. Prepared so that you can learn in an organic fashion, each chapter builds on the know

  4. Involvement of Dopamine D1/D5 and D2 Receptors in Context-Dependent Extinction Learning and Memory Reinstatement.

    Science.gov (United States)

    André, Marion Agnès Emma; Manahan-Vaughan, Denise

    2015-01-01

    Dopamine contributes to the regulation of higher order information processing and executive control. It is important for memory consolidation processes, and for the adaptation of learned responses based on experience. In line with this, under aversive learning conditions, application of dopamine receptor antagonists prior to extinction result in enhanced memory reinstatement. Here, we investigated the contribution of the dopaminergic system to extinction and memory reinstatement (renewal) of an appetitive spatial learning task in rodents. Rats were trained for 3 days in a T-maze (context "A") to associate a goal arm with a food reward, despite low reward probability (acquisition phase). On day 4, extinction learning (unrewarded) occurred, that was reinforced by a context change ("B"). On day 5, re-exposure to the (unrewarded) "A" context took place (renewal of context "A", followed by extinction of context "A"). In control animals, significant extinction occurred on day 4, that was followed by an initial memory reinstatement (renewal) on day 5, that was, in turn, succeeded by extinction of renewal. Intracerebral treatment with a D1/D5-receptor antagonist prior to the extinction trials, elicited a potent enhancement of extinction in context "B". By contrast, a D1/D5-agonist impaired renewal in context "A". Extinction in the "A" context on day 5 was unaffected by the D1/D5-ligands. Treatment with a D2-receptor antagonist prior to extinction had no overall effect on extinction in context "B" or renewal in context "A", although extinction of the renewal effect was impaired on day 5, compared to controls. Taken together, these data suggest that dopamine acting on the D1/D5-receptor modulates both acquisition and consolidation of context-dependent extinction. By contrast, the D2-receptor may contribute to context-independent aspects of this kind of extinction learning.

  5. Keefektifan Pembelajaran Model Quantum Teaching Berbantuan Cabri 3D Terhadap Kemampuan Pemecahan Masalah

    Directory of Open Access Journals (Sweden)

    E. Widiyaningsih

    2013-06-01

    Full Text Available Penelitian ini bertujuan untuk mengetahui keefektifan pembelajaran model Quantum Teaching berbantuan Cabri 3D terhadap kemampuan pemecahan masalah peserta didik. Populasi dalam penelitian ini adalah peserta didik kelas X SMA Negeri 11 Semarang tahun pelajaran 2012/ 2013. Ada dua kelas sampel yaitu kelas eksperimen yang diterapkan pem-belajaran matematika menggunakan model pembelajaran Quantum Teaching berbantuan Cabri 3D dan kelas kontrol yang diterapkan pembelajaran Direct Interaction(DI. Hasil menunjukkan bahwa hasil belajar peserta didik pada aspek kemampuan pemecahan masalah menggunakan model pembelajaran Quantum Teaching mencapai KKM individu dan klasikal, rata-rata hasil belajar peserta didik pada aspek kemampuan pemecahan masalah pada kelas eksperimen lebih baik dari kelas kontrol. Berdasarkan pembahasan di atas dapat disimpulkan bahwa pembelajaran menggunakan model Quantum Teaching berbantuan Cabri 3D efektif terhadap kemampuan pemecahan masalah peserta didik.   This paper purpose of this study was to determine learning using the Quantum Teaching model exploration with Cabri 3D is effective to student’s problem solving ability. The population in this study was students of grade X Eleven Senior High School of Semarang academic year 2012/2013. There were two sample classes; those were an experimental class that applied mathematics learning using the Quantum Teaching model exploration with Cabri 3D and control class that applied Direct Instruction (DI learning. The results showed that the learning outcomes of students in problem solving ability aspects using the Quantum Teaching model exploration with Cabri 3D  can achieve individual and classical mastery learning, the percentage of learning outcomes of student’s problem solving ability in experiment class  better than  learning outcomes of student’s problem solving ability in control class, the average of learning outcomes of student’s problem solving ability in experiment

  6. A 3-D Virtual Reality Model of the Sun and the Moon for E-Learning at Elementary Schools

    Science.gov (United States)

    Sun, Koun-Tem; Lin, Ching-Ling; Wang, Sheng-Min

    2010-01-01

    The relative positions of the sun, moon, and earth, their movements, and their relationships are abstract and difficult to understand astronomical concepts in elementary school science. This study proposes a three-dimensional (3-D) virtual reality (VR) model named the "Sun and Moon System." This e-learning resource was designed by…

  7. Complex scenes and situations visualization in hierarchical learning algorithm with dynamic 3D NeoAxis engine

    Science.gov (United States)

    Graham, James; Ternovskiy, Igor V.

    2013-06-01

    We applied a two stage unsupervised hierarchical learning system to model complex dynamic surveillance and cyber space monitoring systems using a non-commercial version of the NeoAxis visualization software. The hierarchical scene learning and recognition approach is based on hierarchical expectation maximization, and was linked to a 3D graphics engine for validation of learning and classification results and understanding the human - autonomous system relationship. Scene recognition is performed by taking synthetically generated data and feeding it to a dynamic logic algorithm. The algorithm performs hierarchical recognition of the scene by first examining the features of the objects to determine which objects are present, and then determines the scene based on the objects present. This paper presents a framework within which low level data linked to higher-level visualization can provide support to a human operator and be evaluated in a detailed and systematic way.

  8. There's No Place Like Home: The Profitability Gap between Headquarters and their Foreign Subsidiaries

    OpenAIRE

    Dischinger, Matthias; Riedel, Nadine

    2009-01-01

    Using a large panel data set for European firms, this paper provides evidence that operations at multinational headquarters are significantly more profitable than perations at their foreign subsidiaries. The effect turns out to be robust and quantitatively large. Our findings suggest that the profitability gap is partly driven by agency costs which arise if value-driving functions are managed by a subsidiary that is geographically separated from the headquarters management. In line with falli...

  9. New management structure at headquarters

    Science.gov (United States)

    On July 1, 1987, AGU Executive Director Fred Spilhaus informed the AGU staff that Judy C. Holoviak has been promoted to the position of Group Director. This is a new management position with responsibility for more than one division. Both the Publications Division and the newly formed Public Information and Marketing Division will report to Holoviak, as will the new Special Assistant for Nonprint Publications.Spilhaus explained that this new position will permit the headquarters management staff to be responsive to the current AGU growth. A stronger management structure is needed to take advantage of the many opportunities facing the Union. In pointing to the initiatives identified by the Planning Committee, he stated that continued growth is the only likely course for AGU.

  10. Attention in words, not in deeds : Effects of attention dissonance on headquarters-subsidiary communication in multinational corporations

    NARCIS (Netherlands)

    ul Haq, Hammad; Drogendijk, Rian; Blankenburg Holm, Desiree

    2017-01-01

    We introduce the notion of attention dissonance, where the subsidiary within a headquarter-subsidiary relationship feels that headquarters’ attention at the cognitive level, reflected in its strategic intentions (attention perspective), is not aligned with the routine actions the headquarters

  11. Automating 3D reconstruction using a probabilistic grammar

    Science.gov (United States)

    Xiong, Hanwei; Xu, Jun; Xu, Chenxi; Pan, Ming

    2015-10-01

    3D reconstruction of objects from point clouds with a laser scanner is still a laborious task in many applications. Automating 3D process is an ongoing research topic and suffers from the complex structure of the data. The main difficulty is due to lack of knowledge of real world objects structure. In this paper, we accumulate such structure knowledge by a probabilistic grammar learned from examples in the same category. The rules of the grammar capture compositional structures at different levels, and a feature dependent probability function is attached for every rule. The learned grammar can be used to parse new 3D point clouds, organize segment patches in a hierarchal way, and assign them meaningful labels. The parsed semantics can be used to guide the reconstruction algorithms automatically. Some examples are given to explain the method.

  12. The Implementation of C-ID, R2D2 Model on Learning Reading Comprehension

    Science.gov (United States)

    Rayanto, Yudi Hari; Rusmawan, Putu Ngurah

    2016-01-01

    The purposes of this research are to find out, (1) whether C-ID, R2D2 model is effective to be implemented on learning Reading comprehension, (2) college students' activity during the implementation of C-ID, R2D2 model on learning Reading comprehension, and 3) college students' learning achievement during the implementation of C-ID, R2D2 model on…

  13. 3D Simulation as a Learning Environment for Acquiring the Skill of Self-Management: An Experience Involving Spanish University Students of Education

    Science.gov (United States)

    Cela-Ranilla, Jose María; Esteve-Gonzalez, Vanessa; Esteve-Mon, Francesc; Gisbert-Cervera, Merce

    2014-01-01

    In this study we analyze how 57 Spanish university students of Education developed a learning process in a virtual world by conducting activities that involved the skill of self-management. The learning experience comprised a serious game designed in a 3D simulation environment. Descriptive statistics and non-parametric tests were used in the…

  14. Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning

    Science.gov (United States)

    Vetrivel, Anand; Gerke, Markus; Kerle, Norman; Nex, Francesco; Vosselman, George

    2018-06-01

    Oblique aerial images offer views of both building roofs and façades, and thus have been recognized as a potential source to detect severe building damages caused by destructive disaster events such as earthquakes. Therefore, they represent an important source of information for first responders or other stakeholders involved in the post-disaster response process. Several automated methods based on supervised learning have already been demonstrated for damage detection using oblique airborne images. However, they often do not generalize well when data from new unseen sites need to be processed, hampering their practical use. Reasons for this limitation include image and scene characteristics, though the most prominent one relates to the image features being used for training the classifier. Recently features based on deep learning approaches, such as convolutional neural networks (CNNs), have been shown to be more effective than conventional hand-crafted features, and have become the state-of-the-art in many domains, including remote sensing. Moreover, often oblique images are captured with high block overlap, facilitating the generation of dense 3D point clouds - an ideal source to derive geometric characteristics. We hypothesized that the use of CNN features, either independently or in combination with 3D point cloud features, would yield improved performance in damage detection. To this end we used CNN and 3D features, both independently and in combination, using images from manned and unmanned aerial platforms over several geographic locations that vary significantly in terms of image and scene characteristics. A multiple-kernel-learning framework, an effective way for integrating features from different modalities, was used for combining the two sets of features for classification. The results are encouraging: while CNN features produced an average classification accuracy of about 91%, the integration of 3D point cloud features led to an additional

  15. The Texts of The Agency's Agreements with the Republic of Austria. I. Headquarters Agreement. Amendments

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1970-09-04

    The text of the Agreement between the International Atomic Energy Agency and the Republic of Austria Amending the Agreement of 11 December 1957 Regarding the Headquarters of the International Atomic Energy Agency, which was signed on 4 June 1970, is reproduced in this document for the information of all Members. Members will be informed of the entry into force of the Amendments to the Headquarters Agreement.

  16. The Texts of The Agency's Agreements with the Republic of Austria. I. Headquarters Agreement. Amendments

    International Nuclear Information System (INIS)

    1970-01-01

    The text of the Agreement between the International Atomic Energy Agency and the Republic of Austria Amending the Agreement of 11 December 1957 Regarding the Headquarters of the International Atomic Energy Agency, which was signed on 4 June 1970, is reproduced in this document for the information of all Members. Members will be informed of the entry into force of the Amendments to the Headquarters Agreement

  17. Learning dictionaries of sparse codes of 3D movements of body joints for real-time human activity understanding.

    Science.gov (United States)

    Qi, Jin; Yang, Zhiyong

    2014-01-01

    Real-time human activity recognition is essential for human-robot interactions for assisted healthy independent living. Most previous work in this area is performed on traditional two-dimensional (2D) videos and both global and local methods have been used. Since 2D videos are sensitive to changes of lighting condition, view angle, and scale, researchers begun to explore applications of 3D information in human activity understanding in recently years. Unfortunately, features that work well on 2D videos usually don't perform well on 3D videos and there is no consensus on what 3D features should be used. Here we propose a model of human activity recognition based on 3D movements of body joints. Our method has three steps, learning dictionaries of sparse codes of 3D movements of joints, sparse coding, and classification. In the first step, space-time volumes of 3D movements of body joints are obtained via dense sampling and independent component analysis is then performed to construct a dictionary of sparse codes for each activity. In the second step, the space-time volumes are projected to the dictionaries and a set of sparse histograms of the projection coefficients are constructed as feature representations of the activities. Finally, the sparse histograms are used as inputs to a support vector machine to recognize human activities. We tested this model on three databases of human activities and found that it outperforms the state-of-the-art algorithms. Thus, this model can be used for real-time human activity recognition in many applications.

  18. Learning dictionaries of sparse codes of 3D movements of body joints for real-time human activity understanding.

    Directory of Open Access Journals (Sweden)

    Jin Qi

    Full Text Available Real-time human activity recognition is essential for human-robot interactions for assisted healthy independent living. Most previous work in this area is performed on traditional two-dimensional (2D videos and both global and local methods have been used. Since 2D videos are sensitive to changes of lighting condition, view angle, and scale, researchers begun to explore applications of 3D information in human activity understanding in recently years. Unfortunately, features that work well on 2D videos usually don't perform well on 3D videos and there is no consensus on what 3D features should be used. Here we propose a model of human activity recognition based on 3D movements of body joints. Our method has three steps, learning dictionaries of sparse codes of 3D movements of joints, sparse coding, and classification. In the first step, space-time volumes of 3D movements of body joints are obtained via dense sampling and independent component analysis is then performed to construct a dictionary of sparse codes for each activity. In the second step, the space-time volumes are projected to the dictionaries and a set of sparse histograms of the projection coefficients are constructed as feature representations of the activities. Finally, the sparse histograms are used as inputs to a support vector machine to recognize human activities. We tested this model on three databases of human activities and found that it outperforms the state-of-the-art algorithms. Thus, this model can be used for real-time human activity recognition in many applications.

  19. MO-B-BRD-00: Clinical Applications of 3D Printing

    International Nuclear Information System (INIS)

    2015-01-01

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  20. MO-B-BRD-02: 3D Printing in the Clinic

    International Nuclear Information System (INIS)

    Remmes, N.

    2015-01-01

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  1. MO-B-BRD-00: Clinical Applications of 3D Printing

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2015-06-15

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  2. MO-B-BRD-02: 3D Printing in the Clinic

    Energy Technology Data Exchange (ETDEWEB)

    Remmes, N. [Mayo Clinic (United States)

    2015-06-15

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  3. SEMANTIC3D.NET: a New Large-Scale Point Cloud Classification Benchmark

    Science.gov (United States)

    Hackel, T.; Savinov, N.; Ladicky, L.; Wegner, J. D.; Schindler, K.; Pollefeys, M.

    2017-05-01

    This paper presents a new 3D point cloud classification benchmark data set with over four billion manually labelled points, meant as input for data-hungry (deep) learning methods. We also discuss first submissions to the benchmark that use deep convolutional neural networks (CNNs) as a work horse, which already show remarkable performance improvements over state-of-the-art. CNNs have become the de-facto standard for many tasks in computer vision and machine learning like semantic segmentation or object detection in images, but have no yet led to a true breakthrough for 3D point cloud labelling tasks due to lack of training data. With the massive data set presented in this paper, we aim at closing this data gap to help unleash the full potential of deep learning methods for 3D labelling tasks. Our semantic3D.net data set consists of dense point clouds acquired with static terrestrial laser scanners. It contains 8 semantic classes and covers a wide range of urban outdoor scenes: churches, streets, railroad tracks, squares, villages, soccer fields and castles. We describe our labelling interface and show that our data set provides more dense and complete point clouds with much higher overall number of labelled points compared to those already available to the research community. We further provide baseline method descriptions and comparison between methods submitted to our online system. We hope semantic3D.net will pave the way for deep learning methods in 3D point cloud labelling to learn richer, more general 3D representations, and first submissions after only a few months indicate that this might indeed be the case.

  4. Involvement of dopamine D1/D5 and D2 receptors in context-dependent extinction learning and memory reinstatement

    Directory of Open Access Journals (Sweden)

    Marion Agnes Emma Andre

    2016-01-01

    Full Text Available Dopamine contributes to the regulation of higher order information processing and executive control. It is important for memory consolidation processes, and for the adaptation of learned responses based on experience. In line with this, under aversive learning conditions, application of dopamine receptor antagonists prior to extinction result in enhanced memory reinstatement. Here, we investigated the contribution of the dopaminergic system to extinction and memory reinstatement (renewal of an appetitive spatial learning task in rodents. Rats were trained for 3 days in a T-maze (context ‘A’ to associate a goal arm with a food reward, despite low reward probability (acquisition phase. On day 4, extinction learning (unrewarded occurred, that was reinforced by a context change (‘B’. On day 5, re-exposure to the (unrewarded ‘A’-context took place (renewal of context ‘A’, followed by extinction of context ‘A’. In control animals, significant extinction occurred on day 4, that was followed by an initial memory reinstatement (renewal on day 5, that was, in turn, succeeded by extinction of renewal. Intracerebral treatment with a D1/D5-receptor antagonist prior to the extinction trials, elicited a potent enhancement of extinction in context ‘B’. By contrast, a D1/D5-agonist impaired renewal in context ’A’. Extinction in the ‘A’ context on day 5 was unaffected by the D1/D5-ligands. Treatment with a D2-receptor antagonist prior to extinction had no overall effect on extinction in context ‘B or renewal in context ‘A’, although extinction of the renewal effect was impaired on day 5, compared to controls.Taken together, these data suggest that dopamine acting on the D1/D5-receptor modulates both acquisition and consolidation of context-dependent extinction. By contrast, the D2-receptor may contribute to context-independent aspects of this kind of extinction learning.

  5. Implementing a 3D printing service in a biomedical library.

    Science.gov (United States)

    Walker, Verma

    2017-01-01

    Three-dimensional (3D) printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH) Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work.

  6. 33 CFR 334.720 - Gulf of Mexico, south from Choctawhatchee Bay; guided missiles test operations area, Headquarters...

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Gulf of Mexico, south from..., DEPARTMENT OF THE ARMY, DEPARTMENT OF DEFENSE DANGER ZONE AND RESTRICTED AREA REGULATIONS § 334.720 Gulf of Mexico, south from Choctawhatchee Bay; guided missiles test operations area, Headquarters Air Proving...

  7. Data visualization with D3.js cookbook

    CERN Document Server

    Zhu, Nick Qi

    2013-01-01

    Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations and code samples.If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.

  8. 3D Virtual Dig: a 3D Application for Teaching Fieldwork in Archaeology

    Directory of Open Access Journals (Sweden)

    Paola Di Giuseppantonio Di Franco

    2012-12-01

    Full Text Available Archaeology is a material, embodied discipline; communicating this experience is critical to student success. In the context of lower-division archaeology courses, the present study examines the efficacy of 3D virtual and 2D archaeological representations of digs. This presentation aims to show a 3D application created to teach the archaeological excavation process to freshmen students. An archaeological environment was virtually re-created in 3D, and inserted in a virtual reality software application that allows users to work with the reconstructed excavation area. The software was tested in class for teaching the basics of archaeological fieldwork. The application interface is user-friendly and especially easy for 21st century students. The study employed a pre-survey, post-test, and post-survey design, used to understand the students' previous familiarity with archaeology, and test their awareness after the use of the application. Their level of knowledge was then compared with that of those students who had accessed written material only. This case-study demonstrates how a digital approach to laboratory work can positively affect student learning. Increased abilities to complete ill-defined problems (characteristic of the high-order thinking in the field, can, in fact, be demonstrated. 3D Virtual reconstruction serves, then, as an important bridge from traditional coursework to fieldwork.

  9. Development of a Web-Based 3D Module for Enhanced Neuroanatomy Education.

    Science.gov (United States)

    Allen, Lauren K; Ren, He Zhen; Eagleson, Roy; de Ribaupierre, Sandrine

    2016-01-01

    Neuroanatomy is a challenging subject, with novice medical students often experiencing difficulty grasping the intricate 3D spatial relationships. Most of the anatomical teaching in undergraduate medicine utilizes conventional 2D resources. E-learning technologies facilitate the development of learner-centered educational tools that can be tailored to meet each student's educational needs, and may foster improved learning in neuroanatomy, however this has yet to be examined fully in the literature. An interactive 3D e-learning module was developed to complement gross anatomy laboratory instruction. Incorporating such 3D modules may provide additional support for students in areas of anatomy that are spatially challenging, such as neuroanatomy. Specific anatomical structures and their relative spatial positions to other structures can be clearly defined in the 3D virtual environment from viewpoints that may not readily be available using cadaveric or 2D image modalities. Providing an interactive user interface for the 3D module in which the student controls many factors may enable the student to develop an improved understanding of the spatial relationships. This work outlines the process for the development of a 3D interactive module of the cerebral structures included in the anatomy curriculum for undergraduate medical students in their second year of study.

  10. SU-D-201-05: On the Automatic Recognition of Patient Safety Hazards in a Radiotherapy Setup Using a Novel 3D Camera System and a Deep Learning Framework

    Energy Technology Data Exchange (ETDEWEB)

    Santhanam, A; Min, Y; Beron, P; Agazaryan, N; Kupelian, P; Low, D [UCLA, Los Angeles, CA (United States)

    2016-06-15

    Purpose: Patient safety hazards such as a wrong patient/site getting treated can lead to catastrophic results. The purpose of this project is to automatically detect potential patient safety hazards during the radiotherapy setup and alert the therapist before the treatment is initiated. Methods: We employed a set of co-located and co-registered 3D cameras placed inside the treatment room. Each camera provided a point-cloud of fraxels (fragment pixels with 3D depth information). Each of the cameras were calibrated using a custom-built calibration target to provide 3D information with less than 2 mm error in the 500 mm neighborhood around the isocenter. To identify potential patient safety hazards, the treatment room components and the patient’s body needed to be identified and tracked in real-time. For feature recognition purposes, we used a graph-cut based feature recognition with principal component analysis (PCA) based feature-to-object correlation to segment the objects in real-time. Changes in the object’s position were tracked using the CamShift algorithm. The 3D object information was then stored for each classified object (e.g. gantry, couch). A deep learning framework was then used to analyze all the classified objects in both 2D and 3D and was then used to fine-tune a convolutional network for object recognition. The number of network layers were optimized to identify the tracked objects with >95% accuracy. Results: Our systematic analyses showed that, the system was effectively able to recognize wrong patient setups and wrong patient accessories. The combined usage of 2D camera information (color + depth) enabled a topology-preserving approach to verify patient safety hazards in an automatic manner and even in scenarios where the depth information is partially available. Conclusion: By utilizing the 3D cameras inside the treatment room and a deep learning based image classification, potential patient safety hazards can be effectively avoided.

  11. SU-D-201-05: On the Automatic Recognition of Patient Safety Hazards in a Radiotherapy Setup Using a Novel 3D Camera System and a Deep Learning Framework

    International Nuclear Information System (INIS)

    Santhanam, A; Min, Y; Beron, P; Agazaryan, N; Kupelian, P; Low, D

    2016-01-01

    Purpose: Patient safety hazards such as a wrong patient/site getting treated can lead to catastrophic results. The purpose of this project is to automatically detect potential patient safety hazards during the radiotherapy setup and alert the therapist before the treatment is initiated. Methods: We employed a set of co-located and co-registered 3D cameras placed inside the treatment room. Each camera provided a point-cloud of fraxels (fragment pixels with 3D depth information). Each of the cameras were calibrated using a custom-built calibration target to provide 3D information with less than 2 mm error in the 500 mm neighborhood around the isocenter. To identify potential patient safety hazards, the treatment room components and the patient’s body needed to be identified and tracked in real-time. For feature recognition purposes, we used a graph-cut based feature recognition with principal component analysis (PCA) based feature-to-object correlation to segment the objects in real-time. Changes in the object’s position were tracked using the CamShift algorithm. The 3D object information was then stored for each classified object (e.g. gantry, couch). A deep learning framework was then used to analyze all the classified objects in both 2D and 3D and was then used to fine-tune a convolutional network for object recognition. The number of network layers were optimized to identify the tracked objects with >95% accuracy. Results: Our systematic analyses showed that, the system was effectively able to recognize wrong patient setups and wrong patient accessories. The combined usage of 2D camera information (color + depth) enabled a topology-preserving approach to verify patient safety hazards in an automatic manner and even in scenarios where the depth information is partially available. Conclusion: By utilizing the 3D cameras inside the treatment room and a deep learning based image classification, potential patient safety hazards can be effectively avoided.

  12. Usage of 3D models of tetralogy of Fallot for medical education: impact on learning congenital heart disease.

    Science.gov (United States)

    Loke, Yue-Hin; Harahsheh, Ashraf S; Krieger, Axel; Olivieri, Laura J

    2017-03-11

    Congenital heart disease (CHD) is the most common human birth defect, and clinicians need to understand the anatomy to effectively care for patients with CHD. However, standard two-dimensional (2D) display methods do not adequately carry the critical spatial information to reflect CHD anatomy. Three-dimensional (3D) models may be useful in improving the understanding of CHD, without requiring a mastery of cardiac imaging. The study aimed to evaluate the impact of 3D models on how pediatric residents understand and learn about tetralogy of Fallot following a teaching session. Pediatric residents rotating through an inpatient Cardiology rotation were recruited. The sessions were randomized into using either conventional 2D drawings of tetralogy of Fallot or physical 3D models printed from 3D cardiac imaging data sets (cardiac MR, CT, and 3D echocardiogram). Knowledge acquisition was measured by comparing pre-session and post-session knowledge test scores. Learner satisfaction and self-efficacy ratings were measured with questionnaires filled out by the residents after the teaching sessions. Comparisons between the test scores, learner satisfaction and self-efficacy questionnaires for the two groups were assessed with paired t-test. Thirty-five pediatric residents enrolled into the study, with no significant differences in background characteristics, including previous clinical exposure to tetralogy of Fallot. The 2D image group (n = 17) and 3D model group (n = 18) demonstrated similar knowledge acquisition in post-test scores. Residents who were taught with 3D models gave a higher composite learner satisfaction scores (P = 0.03). The 3D model group also had higher self-efficacy aggregate scores, but the difference was not statistically significant (P = 0.39). Physical 3D models enhance resident education around the topic of tetralogy of Fallot by improving learner satisfaction. Future studies should examine the impact of models on teaching CHD that

  13. Students’ Spatial Ability through Open-Ended Approach Aided by Cabri 3D

    Science.gov (United States)

    Priatna, N.

    2017-09-01

    The use of computer software such as Cabri 3D for learning activities is very unlimited. Students can adjust their learning speed according to their level of ability. Open-ended approach strongly supports the use of computer software in learning, because the goal of open-ended learning is to help developing creative activities and mathematical mindset of students through problem solving simultaneously. In other words, creative activities and mathematical mindset of students should be developed as much as possible in accordance with the ability of spatial ability of each student. Spatial ability is the ability of students in constructing and representing geometry models. This study aims to determine the improvement of spatial ability of junior high school students who obtained learning with open-ended approach aided by Cabri 3D. It adopted a quasi-experimental method with the non-randomized control group pretest-posttest design and the 2×3 factorial model. The instrument of the study is spatial ability test. Based on analysis of the data, it is found that the improvement of spatial ability of students who received open-ended learning aided by Cabri 3D was greater than students who received expository learning, both as a whole and based on the categories of students’ initial mathematical ability.

  14. A 3D model retrieval approach based on Bayesian networks lightfield descriptor

    Science.gov (United States)

    Xiao, Qinhan; Li, Yanjun

    2009-12-01

    A new 3D model retrieval methodology is proposed by exploiting a novel Bayesian networks lightfield descriptor (BNLD). There are two key novelties in our approach: (1) a BN-based method for building lightfield descriptor; and (2) a 3D model retrieval scheme based on the proposed BNLD. To overcome the disadvantages of the existing 3D model retrieval methods, we explore BN for building a new lightfield descriptor. Firstly, 3D model is put into lightfield, about 300 binary-views can be obtained along a sphere, then Fourier descriptors and Zernike moments descriptors can be calculated out from binaryviews. Then shape feature sequence would be learned into a BN model based on BN learning algorithm; Secondly, we propose a new 3D model retrieval method by calculating Kullback-Leibler Divergence (KLD) between BNLDs. Beneficial from the statistical learning, our BNLD is noise robustness as compared to the existing methods. The comparison between our method and the lightfield descriptor-based approach is conducted to demonstrate the effectiveness of our proposed methodology.

  15. THE ENVIRONMENTAL STRATEGY OF MULTINATIONAL ENTERPRISE - MANAGING THE RELATIONSHIP BETWEEN THE HEADQUARTER AND SUBSIDIARIES

    Directory of Open Access Journals (Sweden)

    Roselei Haag

    2017-04-01

    Full Text Available This paper presents a literature review that searches to understand how the environmental strategy must be diffused throughout the structure of the multinational enterprise (MNE, within the scope of the studies on enterprises’ internationalization. Literature has contributed to the understanding of the relationships between headquarters and subsidiaries of MNEs, identifying contingencies where the headquarters should grant greater autonomy to certain subsidiaries. After analyzing the literature, we propose a research agenda seeking to expand the field of knowledge on the adoption of sustainability strategies in subsidiaries.

  16. Implementing a 3D printing service in a biomedical library

    Directory of Open Access Journals (Sweden)

    Verma Walker, MLIS

    2017-01-01

    Full Text Available Three-dimensional (3D printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work.

  17. 3D Modeling Techniques for Print and Digital Media

    Science.gov (United States)

    Stephens, Megan Ashley

    In developing my thesis, I looked to gain skills using ZBrush to create 3D models, 3D scanning, and 3D printing. The models created compared the hearts of several vertebrates and were intended for students attending Comparative Vertebrate Anatomy. I used several resources to create a model of the human heart and was able to work from life while creating heart models from other vertebrates. I successfully learned ZBrush and 3D scanning, and successfully printed 3D heart models. ZBrush allowed me to create several intricate models for use in both animation and print media. The 3D scanning technique did not fit my needs for the project, but may be of use for later projects. I was able to 3D print using two different techniques as well.

  18. The Effect of Headquarter Integration Mechanisms on Subsidiaries’ New Product Success: From Control to Coordination Mechanism

    Directory of Open Access Journals (Sweden)

    Firmanzah

    2007-10-01

    Full Text Available New product launching (NPL to the local market by subsidiary managers is a strategic activity, which requires organizational supports from MNC global network. The NPL activity is marked by high level of uncertainty, risk, and market failure. Thus, a headquarter needs to integrate the subsidiary NPL into global strategy. There are two mechanisms to integrate subsidiaries’ activities during NPL process; coordination and control process. By testing the effect of each mechanism on role clarity and functional conflict, I found that coordination mechanism increase role clarity between headquarter and subsidiaries’ managers. In contrast, exercising control mechanism reduces role clarity and functional conflict between headquarter and subsidiaries’ managers during NPL. This research shows that both role clarity and functional conflict increase new product commercial performance introduced by subsidiary in the local market.

  19. MO-B-BRD-04: Sterilization for 3D Printed Brachytherapy Applicators

    International Nuclear Information System (INIS)

    Cunha, J.

    2015-01-01

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  20. MO-B-BRD-04: Sterilization for 3D Printed Brachytherapy Applicators

    Energy Technology Data Exchange (ETDEWEB)

    Cunha, J. [UC San Francisco (United States)

    2015-06-15

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  1. Deep learning for objective quality assessment of 3D images

    NARCIS (Netherlands)

    Mocanu, D.C.; Exarchakos, G.; Liotta, A.

    2014-01-01

    Improving the users' Quality of Experience (QoE) in modern 3D Multimedia Systems is a challenging proposition, mainly due to our limited knowledge of 3D image Quality Assessment algorithms. While subjective QoE methods would better reflect the nature of human perception, these are not suitable in

  2. The role of location in headquarters-subsidiaries relationships: An analysis of French multinationals in emerging markets

    OpenAIRE

    Hanane Beddi; Ulrike Mayrhofer

    2010-01-01

    International audience; This paper examines the role of location in the relationships established between headquarters and foreign subsidiaries. The analysis focuses on new challenges faced by MNEs from mature economies, considering the growing importance of subsidiaries located in emerging countries. The empirical study is based on three in-depth case-studies of French multinationals. The authors conducted 31 interviews with managers from both the headquarters and foreign subsidiaries. The f...

  3. Designing stereoscopic information visualization for 3D-TV: What can we can learn from S3D gaming?

    Science.gov (United States)

    Schild, Jonas; Masuch, Maic

    2012-03-01

    This paper explores graphical design and spatial alignment of visual information and graphical elements into stereoscopically filmed content, e.g. captions, subtitles, and especially more complex elements in 3D-TV productions. The method used is a descriptive analysis of existing computer- and video games that have been adapted for stereoscopic display using semi-automatic rendering techniques (e.g. Nvidia 3D Vision) or games which have been specifically designed for stereoscopic vision. Digital games often feature compelling visual interfaces that combine high usability with creative visual design. We explore selected examples of game interfaces in stereoscopic vision regarding their stereoscopic characteristics, how they draw attention, how we judge effect and comfort and where the interfaces fail. As a result, we propose a list of five aspects which should be considered when designing stereoscopic visual information: explicit information, implicit information, spatial reference, drawing attention, and vertical alignment. We discuss possible consequences, opportunities and challenges for integrating visual information elements into 3D-TV content. This work shall further help to improve current editing systems and identifies a need for future editing systems for 3DTV, e.g., live editing and real-time alignment of visual information into 3D footage.

  4. Effects of 3D Printing Project-based Learning on Preservice Elementary Teachers' Science Attitudes, Science Content Knowledge, and Anxiety About Teaching Science

    Science.gov (United States)

    Novak, Elena; Wisdom, Sonya

    2018-05-01

    3D printing technology is a powerful educational tool that can promote integrative STEM education by connecting engineering, technology, and applications of science concepts. Yet, research on the integration of 3D printing technology in formal educational contexts is extremely limited. This study engaged preservice elementary teachers (N = 42) in a 3D Printing Science Project that modeled a science experiment in the elementary classroom on why things float or sink using 3D printed boats. The goal was to explore how collaborative 3D printing inquiry-based learning experiences affected preservice teachers' science teaching self-efficacy beliefs, anxiety toward teaching science, interest in science, perceived competence in K-3 technology and engineering science standards, and science content knowledge. The 3D printing project intervention significantly decreased participants' science teaching anxiety and improved their science teaching efficacy, science interest, and perceived competence in K-3 technological and engineering design science standards. Moreover, an analysis of students' project reflections and boat designs provided an insight into their collaborative 3D modeling design experiences. The study makes a contribution to the scarce body of knowledge on how teacher preparation programs can utilize 3D printing technology as a means of preparing prospective teachers to implement the recently adopted engineering and technology standards in K-12 science education.

  5. 3D Holographic Technology and Its Educational Potential

    Science.gov (United States)

    Lee, Hyangsook

    2013-01-01

    This article discusses a number of significant developments in 3D holographic technology, its potential to revolutionize aspects of teaching and learning, and challenges of implementing the technology in educational settings.

  6. Avatar-mediation and Transformation of Practice in a 3D Virtual World

    DEFF Research Database (Denmark)

    Riis, Marianne

    The purpose of this study is to understand and conceptualize the transformation of a particular community of pedagogical practice based on the implementation of the 3D virtual world, Second Life™. The community setting is a course at the Master's programme on ICT and Learning (MIL), Aalborg...... with knowledge about 3D Virtual Worlds, the influence of the avatar phenomenon and the consequences of 3D-remediation in relation to teaching and learning in online education. Based on the findings, a conceptual design model, a set of design principles, and a design framework has been developed....

  7. H-Ransac a Hybrid Point Cloud Segmentation Combining 2d and 3d Data

    Science.gov (United States)

    Adam, A.; Chatzilari, E.; Nikolopoulos, S.; Kompatsiaris, I.

    2018-05-01

    In this paper, we present a novel 3D segmentation approach operating on point clouds generated from overlapping images. The aim of the proposed hybrid approach is to effectively segment co-planar objects, by leveraging the structural information originating from the 3D point cloud and the visual information from the 2D images, without resorting to learning based procedures. More specifically, the proposed hybrid approach, H-RANSAC, is an extension of the well-known RANSAC plane-fitting algorithm, incorporating an additional consistency criterion based on the results of 2D segmentation. Our expectation that the integration of 2D data into 3D segmentation will achieve more accurate results, is validated experimentally in the domain of 3D city models. Results show that HRANSAC can successfully delineate building components like main facades and windows, and provide more accurate segmentation results compared to the typical RANSAC plane-fitting algorithm.

  8. N-methyl-d-aspartate receptors, learning and memory: chronic intraventricular infusion of the NMDA receptor antagonist d-AP5 interacts directly with the neural mechanisms of spatial learning.

    Science.gov (United States)

    Morris, R G M; Steele, R J; Bell, J E; Martin, S J

    2013-03-01

    Three experiments were conducted to contrast the hypothesis that hippocampal N-methyl-d-aspartate (NMDA) receptors participate directly in the mechanisms of hippocampus-dependent learning with an alternative view that apparent impairments of learning induced by NMDA receptor antagonists arise because of drug-induced neuropathological and/or sensorimotor disturbances. In experiment 1, rats given a chronic i.c.v. infusion of d-AP5 (30 mm) at 0.5 μL/h were selectively impaired, relative to aCSF-infused animals, in place but not cued navigation learning when they were trained during the 14-day drug infusion period, but were unimpaired on both tasks if trained 11 days after the minipumps were exhausted. d-AP5 caused sensorimotor disturbances in the spatial task, but these gradually worsened as the animals failed to learn. Histological assessment of potential neuropathological changes revealed no abnormalities in d-AP5-treated rats whether killed during or after chronic drug infusion. In experiment 2, a deficit in spatial learning was also apparent in d-AP5-treated rats trained on a spatial reference memory task involving two identical but visible platforms, a task chosen and shown to minimise sensorimotor disturbances. HPLC was used to identify the presence of d-AP5 in selected brain areas. In Experiment 3, rats treated with d-AP5 showed a delay-dependent deficit in spatial memory in the delayed matching-to-place protocol for the water maze. These data are discussed with respect to the learning mechanism and sensorimotor accounts of the impact of NMDA receptor antagonists on brain function. We argue that NMDA receptor mechanisms participate directly in spatial learning. © 2013 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

  9. Building 3D models with modo 701

    CERN Document Server

    García, Juan Jiménez

    2013-01-01

    The book will focus on creating a sample application throughout the book, building gradually from chapter to chapter.If you are new to the 3D world, this is the key to getting started with a modern software in the modern visualization industry. Only minimal previous knowledge is needed.If you have some previous knowledge about 3D content creation, you will find useful tricks that will differentiate the learning experience from a typical user manual from this, a practical guide concerning the most common problems and situations and how to solve them.

  10. Body Language Advanced 3D Character Rigging

    CERN Document Server

    Allen, Eric; Fong, Jared; Sidwell, Adam G

    2011-01-01

    Whether you're a professional Character TD or just like to create 3D characters, this detailed guide reveals the techniques you need to create sophisticated 3D character rigs that range from basic to breathtaking. Packed with step-by-step instructions and full-color illustrations, Body Language walks you through rigging techniques for all the body parts to help you create realistic and believable movements in every character you design. You'll learn advanced rigging concepts that involve MEL scripting and advanced deformation techniques and even how to set up a character pipeline.

  11. The Effect of Headquarter Integration Mechanisms on Subsidiaries’ New Product Success: From Control to Coordination Mechanism

    Directory of Open Access Journals (Sweden)

    Firmanzah Firmanzah

    2013-07-01

    Full Text Available New product launching (NPL to the local market by subsidiary managers is a strategic activity, which requires organizational supports from MNC global network. The NPL activity is marked by high level of uncertainty, risk, and market failure. Thus, a headquarter needs to integrate the subsidiary NPL into global strategy. There are two mechanisms to integrate subsidiaries’ activities during NPL process; coordination and control process. By testing the effect of each mechanism on role clarity and functional conflict, I found that coordination mechanism increase role clarity between headquarter and subsidiaries’ managers. In contrast, exercising control mechanism reduces role clarity and functional conflict between headquarter and subsidiaries’ managers during NPL. This research shows that both role clarity and functional conflict increase new product commercial performance introduced by subsidiary in the local market. Keywords: new product launching (NPL, coordination mechanism, control mechanism, and new product performance

  12. 32 CFR 1605.8 - Staff of Region Headquarters for Selective Service.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Staff of Region Headquarters for Selective... SERVICE SYSTEM SELECTIVE SERVICE SYSTEM ORGANIZATION Region Administration § 1605.8 Staff of Region..., the staff of each region for Selective Service shall consist of as many officers, either military or...

  13. A New Method of 3D Facial Expression Animation

    Directory of Open Access Journals (Sweden)

    Shuo Sun

    2014-01-01

    Full Text Available Animating expressive facial animation is a very challenging topic within the graphics community. In this paper, we introduce a novel ERI (expression ratio image driving framework based on SVR and MPEG-4 for automatic 3D facial expression animation. Through using the method of support vector regression (SVR, the framework can learn and forecast the regression relationship between the facial animation parameters (FAPs and the parameters of expression ratio image. Firstly, we build a 3D face animation system driven by FAP. Secondly, through using the method of principle component analysis (PCA, we generate the parameter sets of eigen-ERI space, which will rebuild reasonable expression ratio image. Then we learn a model with the support vector regression mapping, and facial animation parameters can be synthesized quickly with the parameters of eigen-ERI. Finally, we implement our 3D face animation system driving by the result of FAP and it works effectively.

  14. 3D-Printing Crystallographic Unit Cells for Learning Materials Science and Engineering

    Science.gov (United States)

    Rodenbough, Philip P.; Vanti, William B.; Chan, Siu-Wai

    2015-01-01

    Introductory materials science and engineering courses universally include the study of crystal structure and unit cells, which are by their nature highly visual 3D concepts. Traditionally, such topics are explored with 2D drawings or perhaps a limited set of difficult-to-construct 3D models. The rise of 3D printing, coupled with the wealth of…

  15. Effects of Training Method and Gender on Learning 2D/3D Geometry

    Science.gov (United States)

    Khairulanuar, Samsudin; Nazre, Abd Rashid; Jamilah, H.; Sairabanu, Omar Khan; Norasikin, Fabil

    2010-01-01

    This article reports the findings of an experimental study involving 36 primary school students (16 girls, 20 boys, Mean age = 9.5 years, age range: 8-10 years) in geometrical understanding of 2D and 3D objects. Students were assigned into two experimental groups and one control group based on a stratified random sampling procedure. The first…

  16. 3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation

    Science.gov (United States)

    Norajitra, Tobias; Meinzer, Hans-Peter; Maier-Hein, Klaus H.

    2015-03-01

    During image segmentation, 3D Statistical Shape Models (SSM) usually conduct a limited search for target landmarks within one-dimensional search profiles perpendicular to the model surface. In addition, landmark appearance is modeled only locally based on linear profiles and weak learners, altogether leading to segmentation errors from landmark ambiguities and limited search coverage. We present a new method for 3D SSM segmentation based on 3D Random Forest Regression Voting. For each surface landmark, a Random Regression Forest is trained that learns a 3D spatial displacement function between the according reference landmark and a set of surrounding sample points, based on an infinite set of non-local randomized 3D Haar-like features. Landmark search is then conducted omni-directionally within 3D search spaces, where voxelwise forest predictions on landmark position contribute to a common voting map which reflects the overall position estimate. Segmentation experiments were conducted on a set of 45 CT volumes of the human liver, of which 40 images were randomly chosen for training and 5 for testing. Without parameter optimization, using a simple candidate selection and a single resolution approach, excellent results were achieved, while faster convergence and better concavity segmentation were observed, altogether underlining the potential of our approach in terms of increased robustness from distinct landmark detection and from better search coverage.

  17. What is 3D good for? A review of human performance on stereoscopic 3D displays

    Science.gov (United States)

    McIntire, John P.; Havig, Paul R.; Geiselman, Eric E.

    2012-06-01

    This work reviews the human factors-related literature on the task performance implications of stereoscopic 3D displays, in order to point out the specific performance benefits (or lack thereof) one might reasonably expect to observe when utilizing these displays. What exactly is 3D good for? Relative to traditional 2D displays, stereoscopic displays have been shown to enhance performance on a variety of depth-related tasks. These tasks include judging absolute and relative distances, finding and identifying objects (by breaking camouflage and eliciting perceptual "pop-out"), performing spatial manipulations of objects (object positioning, orienting, and tracking), and navigating. More cognitively, stereoscopic displays can improve the spatial understanding of 3D scenes or objects, improve memory/recall of scenes or objects, and improve learning of spatial relationships and environments. However, for tasks that are relatively simple, that do not strictly require depth information for good performance, where other strong cues to depth can be utilized, or for depth tasks that lie outside the effective viewing volume of the display, the purported performance benefits of 3D may be small or altogether absent. Stereoscopic 3D displays come with a host of unique human factors problems including the simulator-sickness-type symptoms of eyestrain, headache, fatigue, disorientation, nausea, and malaise, which appear to effect large numbers of viewers (perhaps as many as 25% to 50% of the general population). Thus, 3D technology should be wielded delicately and applied carefully; and perhaps used only as is necessary to ensure good performance.

  18. With the advent of domestic 3-dimensional (3D) printers and their associated reduced cost, is it now time for every medical school to have their own 3D printer?

    Science.gov (United States)

    Balestrini, Christopher; Campo-Celaya, Tatiana

    2016-01-01

    Anatomy is the backbone of medical education and new techniques to improve learning are frequently explored. With the introduction of 3D printers specifically for the home market, the price of this technology has reached affordable levels. Using patient scan data, accurate 3D models can be printed that represent real human variation in anatomy to provide an innovative, inexpensive and valuable adjunct to anatomical teaching. Is it now time for every medical school to have their own 3D printer?

  19. 3D Geo-Structures Visualization Education Project (3dgeostructuresvis.ucdavis.edu)

    Science.gov (United States)

    Billen, M. I.

    2014-12-01

    Students of field-based geology must master a suite of challenging skills from recognizing rocks, to measuring orientations of features in the field, to finding oneself (and the outcrop) on a map and placing structural information on maps. Students must then synthesize this information to derive meaning from the observations and ultimately to determine the three-dimensional (3D) shape of the deformed structures and their kinematic history. Synthesizing this kind of information requires sophisticated visualizations skills in order to extrapolate observations into the subsurface or missing (eroded) material. The good news is that students can learn 3D visualization skills through practice, and virtual tools can help provide some of that practice. Here I present a suite of learning modules focused at developing students' ability to imagine (visualize) complex 3D structures and their exposure through digital topographic surfaces. Using the software 3DVisualizer, developed by KeckCAVES (keckcaves.org) we have developed visualizations of common geologic structures (e.g., syncline, dipping fold) in which the rock is represented by originally flat-lying layers of sediment, each with a different color, which have been subsequently deformed. The exercises build up in complexity, first focusing on understanding the structure in 3D (penetrative understanding), and then moving to the exposure of the structure at a topographic surface. Individual layers can be rendered as a transparent feature to explore how the layer extends above and below the topographic surface (e.g., to follow an eroded fold limb across a valley). The exercises are provided using either movies of the visualization (which can also be used for examples during lectures), or the data and software can be downloaded to allow for more self-driven exploration and learning. These virtual field models and exercises can be used as "practice runs" before going into the field, as make-up assignments, as a field

  20. Heart House: Where Doctors Learn

    Science.gov (United States)

    American School and University, 1978

    1978-01-01

    The new learning center and administrative headquarters of the American College of Cardiology in Bethesda, Maryland, contain a unique classroom equipped with the highly sophisticated audiovisual aids developed to teach the latest techniques in the diagnosis and treatment of heart disease. (Author/MLF)

  1. 3D-Printed specimens as a valuable tool in anatomy education: A pilot study.

    Science.gov (United States)

    Garas, Monique; Vaccarezza, Mauro; Newland, George; McVay-Doornbusch, Kylie; Hasani, Jamila

    2018-06-06

    Three-dimensional (3D) printing is a modern technique of creating 3D-printed models that allows reproduction of human structures from MRI and CT scans via fusion of multiple layers of resin materials. To assess feasibility of this innovative resource as anatomy educational tool, we conducted a preliminary study on Curtin University undergraduate students to investigate the use of 3D models for anatomy learning as a main goal, to assess the effectiveness of different specimen types during the sessions and personally preferred anatomy learning tools among students as secondary aim. The study consisted of a pre-test, exposure to test (anatomical test) and post-test survey. During pre-test, all participants (both without prior experience and experienced groups) were given a brief introduction on laboratory safety and study procedure thus participants were exposed to 3D, wet and plastinated specimens of the heart, shoulder and thigh to identify the pinned structures (anatomical test). Then, participants were provided a post-test survey containing five questions. In total, 23 participants completed the anatomical test and post-test survey. A larger number of participants (85%) achieved right answers for 3D models compared to wet and plastinated materials, 74% of population selected 3D models as the most usable tool for identification of pinned structures and 45% chose 3D models as their preferred method of anatomy learning. This preliminary small-size study affirms the feasibility of 3D-printed models as a valuable asset in anatomy learning and shows their capability to be used adjacent to cadaveric materials and other widely used tools in anatomy education. Copyright © 2018 Elsevier GmbH. All rights reserved.

  2. Analysis of 3D Modeling Software Usage Patterns for K-12 Students

    Science.gov (United States)

    Wu, Yi-Chieh; Liao, Wen-Hung; Chi, Ming-Te; Li, Tsai-Yen

    2016-01-01

    In response to the recent trend in maker movement, teachers are learning 3D techniques actively and bringing 3D printing into the classroom to enhance variety and creativity in designing lectures. This study investigates the usage pattern of a 3D modeling software, Qmodel Creator, which is targeted at K-12 students. User logs containing…

  3. Tangible 3D Modelling

    DEFF Research Database (Denmark)

    Hejlesen, Aske K.; Ovesen, Nis

    2012-01-01

    This paper presents an experimental approach to teaching 3D modelling techniques in an Industrial Design programme. The approach includes the use of tangible free form models as tools for improving the overall learning. The paper is based on lecturer and student experiences obtained through...... facilitated discussions during the course as well as through a survey distributed to the participating students. The analysis of the experiences shows a mixed picture consisting of both benefits and limits to the experimental technique. A discussion about the applicability of the technique and about...

  4. ExpNet: Landmark-Free, Deep, 3D Facial Expressions

    OpenAIRE

    Chang, Feng-Ju; Tran, Anh Tuan; Hassner, Tal; Masi, Iacopo; Nevatia, Ram; Medioni, Gerard

    2018-01-01

    We describe a deep learning based method for estimating 3D facial expression coefficients. Unlike previous work, our process does not relay on facial landmark detection methods as a proxy step. Recent methods have shown that a CNN can be trained to regress accurate and discriminative 3D morphable model (3DMM) representations, directly from image intensities. By foregoing facial landmark detection, these methods were able to estimate shapes for occluded faces appearing in unprecedented in-the-...

  5. Comparative Study of 2D and 3D Optical Imaging Systems: Laparoendoscopic Single-Site Surgery in an Ex Vivo Model.

    Science.gov (United States)

    Vilaça, Jaime; Pinto, José Pedro; Fernandes, Sandra; Costa, Patrício; Pinto, Jorge Correia; Leão, Pedro

    2017-12-01

    Usually laparoscopy is performed by means of a 2-dimensional (2D) image system and multiport approach. To overcome the lack of depth perception, new 3-dimensional (3D) systems are arising with the added advantage of providing stereoscopic vision. To further reduce surgery-related trauma, there are new minimally invasive surgical techniques being developed, such as LESS (laparoendoscopic single-site) surgery. The aim of this study was to compare 2D and 3D laparoscopic systems in LESS surgical procedures. All participants were selected from different levels of experience in laparoscopic surgery-10 novices, 7 intermediates, and 10 experts were included. None of the participants had had previous experience in LESS surgery. Participants were chosen randomly to begin their experience with either the 2D or 3D laparoscopic system. The exercise consisted of performing an ex vivo pork cholecystectomy through a SILS port with the assistance of a fixed distance laparoscope. Errors, time, and participants' preference were recorded. Statistical analysis of time and errors between groups was conducted with a Student's t test (using independent samples) and the Mann-Whitney test. In all 3 groups, the average time with the 2D system was significantly reduced after having used the 3D system ( P 3D system. This study suggests that the 3D system may improve the learning curve and that learning from the 3D system is transferable to the 2D environment. Additionally, the majority of participants prefer 3D equipment.

  6. Representations and Techniques for 3D Object Recognition and Scene Interpretation

    CERN Document Server

    Hoiem, Derek

    2011-01-01

    One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physi

  7. Improve 3D laser scanner measurements accuracy using a FFBP neural network with Widrow-Hoff weight/bias learning function

    Science.gov (United States)

    Rodríguez-Quiñonez, J. C.; Sergiyenko, O.; Hernandez-Balbuena, D.; Rivas-Lopez, M.; Flores-Fuentes, W.; Basaca-Preciado, L. C.

    2014-12-01

    Many laser scanners depend on their mechanical construction to guarantee their measurements accuracy, however, the current computational technologies allow us to improve these measurements by mathematical methods implemented in neural networks. In this article we are going to introduce the current laser scanner technologies, give a description of our 3D laser scanner and adjust their measurement error by a previously trained feed forward back propagation (FFBP) neural network with a Widrow-Hoff weight/bias learning function. A comparative analysis with other learning functions such as the Kohonen algorithm and gradient descendent with momentum algorithm is presented. Finally, computational simulations are conducted to verify the performance and method uncertainty in the proposed system.

  8. 2D-3D Face Recognition Method Basedon a Modified CCA-PCA Algorithm

    Directory of Open Access Journals (Sweden)

    Patrik Kamencay

    2014-03-01

    Full Text Available This paper presents a proposed methodology for face recognition based on an information theory approach to coding and decoding face images. In this paper, we propose a 2D-3D face-matching method based on a principal component analysis (PCA algorithm using canonical correlation analysis (CCA to learn the mapping between a 2D face image and 3D face data. This method makes it possible to match a 2D face image with enrolled 3D face data. Our proposed fusion algorithm is based on the PCA method, which is applied to extract base features. PCA feature-level fusion requires the extraction of different features from the source data before features are merged together. Experimental results on the TEXAS face image database have shown that the classification and recognition results based on the modified CCA-PCA method are superior to those based on the CCA method. Testing the 2D-3D face match results gave a recognition rate for the CCA method of a quite poor 55% while the modified CCA method based on PCA-level fusion achieved a very good recognition score of 85%.

  9. COMPARISON OF 2D AND 3D VIDEO DISPLAYS FOR TEACHING VITREORETINAL SURGERY.

    Science.gov (United States)

    Chhaya, Nisarg; Helmy, Omar; Piri, Niloofar; Palacio, Agustina; Schaal, Shlomit

    2017-07-11

    To compare medical students' learning uptake and understanding of vitreoretinal surgeries by watching either 2D or 3D video recordings. Three vitreoretinal procedures (tractional retinal detachment, exposed scleral buckle removal, and four-point scleral fixation of an intraocular lens [TSS]) were recorded simultaneously with a conventional recorder for two-dimensional viewing and a VERION 3D HD system using Sony HVO-1000MD for three-dimensional viewing. Two videos of each surgery, one 2D and the other 3D, were edited to have the same content side by side. One hundred UMass medical students randomly assigned to a 2D group or 3D, then watched corresponding videos on a MacBook. All groups wore BiAL Red-blue 3D glasses and were appropriately randomized. Students filled out questionnaires about surgical steps or anatomical relationships of the pathologies or tissues, and their answers were compared. There was no significant difference in comprehension between the two groups for the extraocular scleral buckle procedure. However, for the intraocular TSS and tractional retinal detachment videos, the 3D group performed better than 2D (P < 0.05) on anatomy comprehension questions. Three-dimensional videos may have value in teaching intraocular ophthalmic surgeries. Surgical procedure steps and basic ocular anatomy may have to be reviewed to ensure maximal teaching efficacy.

  10. An evaluation of solar energy for heating a highway maintenance headquarters building.

    Science.gov (United States)

    1985-01-01

    A highway maintenance area headquarters building having overall dimensions of 64 ft - 8 in by 42 ft - 0 in was equipped with an active solar heating system to assist in heating space and domestic hot water. The solar system was instrumented and its o...

  11. The Texts of the Agency's Headquarters Agreement with Austria and Related Agreements

    International Nuclear Information System (INIS)

    1975-01-01

    The texts of six agreements concluded between the Agency and the Republic of Austria as a result of the location of the Agency's headquarters in Austria, which were in force on 31 October 1975, are reproduced in this document for the information of all Members

  12. Driver. D530.2 – Tools for the Lessons Learned Framework

    NARCIS (Netherlands)

    Schaik, M.G. van; et al

    2016-01-01

    In this deliverable D530.2 “Tools for the Lessons Learned Framework” the overall lessons learned framework will be clarified based on the delivery D53.1 “Lessons Learned Framework Concept” and aligned with the deliverable D52.1 “Harmonized competence framework”. The Tools for the Lessons Learned

  13. In Depth: Interactive Copyright Education for 3D Objects

    Directory of Open Access Journals (Sweden)

    Camille Thomas

    2018-03-01

    Full Text Available The growth of makerspaces and 3D services in libraries means new opportunities to utilize library expertise, partnerships, and exemptions to inform patrons about copyright in creative environments. Wide access to 3D printing, trademarks, and patents are relevant topics, but this paper only focuses on copyright. Little to no literature has been produced about how to educate makers about copyright for 3D objects. This paper will present a framework to encourage creators of 3D objects to analyze and interpret copyright information for their own purposes. It also discusses the process of designing and embedding learning tools into the database for SHAPES, a project for inter-library loans of 3D renderings. NOTE: New information about the methods and progress of this project has been added since the Kraemer Copyright Conference.

  14. EFEKTIVITAS MODEL PEMBELAJARAN BERBASIS KOMPETENSI DENGAN PENDEKATAN DUNIA KERJA PADA PROGRAM D3 TATA BOGA

    Directory of Open Access Journals (Sweden)

    Rina Febriana

    2017-02-01

    Full Text Available Abstrak: Penelitian bertujuan untuk menghasilkan model pembelajaran berbasis kompetensi dengan pendekatan dunia kerja (model PKBK, rumusan kompetensi mahasiswa D3 Tata Boga, rancangan pembelajaran berbasis kompetensi, dan rubrik penilaian. Penelitian ini merupakan penelitian dan pengembangan yang mengadopsi model prosedural Borg & Gall.Subjek penelitian adalah praktisi industri perhotelan, mahasiswa proram D3 Tata Boga dan dosen matakuliah praktik. Teknik pengumpulan data lewat FGD dan pemberian angket, sedang teknik analisis data dilakukan secara deskriptif kualitatitif dan statistik deskriptif. Hasil penelitian ini adalah (1 model PKBK memiliki komponen: profil lulusan, learning outcomes, rumusan kompetensi, pengalaman pembelajaran, rancangan pembelajaran, dan evaluasi kompetensi, (2 rumusan kompetensi untuk lulusan terbagi menjadi 2 kelompok yaitu technical skills dan employability skills, (3 rancangan pembelajaran pada model PKBK terdiri dari: struktur kurikulum, materi dan bahan pembelajaran, diagram pencapaian kompetensi dan dokumen kurikulum, (4 rubrik penilaian berisi penilaian terhadap employability dan technical skills. THE EFFECTIVENESS OF A COMPETENCY-BASED LEARNING MODEL USING WORLD OF WORK APPROACH AT D3 FOOD AND NUTRITION PROGRAMME Abstract: This research aims to produce a model of competence-based learning using the world of work approach (model PKBK, to formulate students’ competence, to design competence-based learning, and to develop evaluation rubric. This research adopted Research and Development model developed by Borg and Gall. The research subjects were hotel practitioners, students of D3 Food and Nutrition, and lechturers of practice courses. Data were collected through FGDs and questionnaires and analysed using descriptive qualitative and descriptive stastitics tecniques. The findings show that (1 the PKBK model comprises graduates’ profile, learning outcomes, competence formulation, learning design, and competence

  15. 3D visualization of medical images for personalized learning of human anatomy

    NARCIS (Netherlands)

    Laurence Alpay; Jelle Scheurleer; Harmen Bijwaard

    2015-01-01

    to be held in Lisbon/Portugal on October 15-17, 2015 Medical imaging nowadays often yields high definition 3D images (from CT, PET, MRI, etc.). Usually these images need to be evaluated on 2D monitors. In the transition from 3D to 2D the image becomes more difficult to interpret as a whole. To aid

  16. Learning 2-Dimensional and 3-Dimensional Geometry with Geogebra: Which Would Students Do Better?

    Directory of Open Access Journals (Sweden)

    Zaleha Ismail

    2017-08-01

    Full Text Available The purpose of this study is to examine the geometric thinking of young children who worked with GeoGebra to learn two-dimensional (2-D and three-dimensional (3-D geometry. GeoGebra is an open sourced dynamic mathematics software which is applicable for learning mathematics from primary school to secondary school and to higher education. Thirty pupils studying in second grade (Year 2 at a school located in Pontian, a district in one of the Malaysian state participated in the study. They attended GeoGebra sessions to construct and analyze dynamics of two-dimensional and three-dimensional geometry after learning these topics in the conventional setting. Pretest and posttest on two-dimensional and three-dimensional spatial ability based on Van Hiele level of geometric thinking were administered to the pupils. The comparison between pretest and posttest results demonstrate significant enhancement in visualization and informal deduction for both 2-D and 3-D geometry. Moreover from the intervention, the students benefit most in analyzing 3-D and visualizing 2-D geometry. Interestingly, skills and knowledge acquired through activities using GeoGebra in student-centered learning environment could be successfully transferred to paper and pencil test.

  17. 3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

    Directory of Open Access Journals (Sweden)

    Shunping Ji

    2018-01-01

    Full Text Available This study describes a novel three-dimensional (3D convolutional neural networks (CNN based method that automatically classifies crops from spatio-temporal remote sensing images. First, 3D kernel is designed according to the structure of multi-spectral multi-temporal remote sensing data. Secondly, the 3D CNN framework with fine-tuned parameters is designed for training 3D crop samples and learning spatio-temporal discriminative representations, with the full crop growth cycles being preserved. In addition, we introduce an active learning strategy to the CNN model to improve labelling accuracy up to a required threshold with the most efficiency. Finally, experiments are carried out to test the advantage of the 3D CNN, in comparison to the two-dimensional (2D CNN and other conventional methods. Our experiments show that the 3D CNN is especially suitable in characterizing the dynamics of crop growth and outperformed the other mainstream methods.

  18. Avatar-mediation and transformation of practice in a 3D virtual world

    DEFF Research Database (Denmark)

    Riis, Marianne

    2016-01-01

    The purpose of this study is to understand and conceptualize the transformation of a particular community of pedagogical practice based on the implementation of the 3D virtual world, Second Life™. The community setting is a course at the Danish online postgraduate Master's programme on ICT...... and Learning, which is formally situated at Aalborg University. The study is guided by two research questions focusing on the participants' responses to the avatar phenomenon and the design of the course. In order to conduct and theorize about the transformation of this community of practice due to the 3D....... In summary, the study contributes with knowledge about 3D Virtual Worlds, the influence of the avatar phenomenon and the consequences of 3D-remediation in relation to teaching and learning in online education. Based on the findings, a conceptual design model, a set of design principles, and a design...

  19. Deep 3D convolution neural network for CT brain hemorrhage classification

    Science.gov (United States)

    Jnawali, Kamal; Arbabshirani, Mohammad R.; Rao, Navalgund; Patel, Alpen A.

    2018-02-01

    Intracranial hemorrhage is a critical conditional with the high mortality rate that is typically diagnosed based on head computer tomography (CT) images. Deep learning algorithms, in particular, convolution neural networks (CNN), are becoming the methodology of choice in medical image analysis for a variety of applications such as computer-aided diagnosis, and segmentation. In this study, we propose a fully automated deep learning framework which learns to detect brain hemorrhage based on cross sectional CT images. The dataset for this work consists of 40,367 3D head CT studies (over 1.5 million 2D images) acquired retrospectively over a decade from multiple radiology facilities at Geisinger Health System. The proposed algorithm first extracts features using 3D CNN and then detects brain hemorrhage using the logistic function as the last layer of the network. Finally, we created an ensemble of three different 3D CNN architectures to improve the classification accuracy. The area under the curve (AUC) of the receiver operator characteristic (ROC) curve of the ensemble of three architectures was 0.87. Their results are very promising considering the fact that the head CT studies were not controlled for slice thickness, scanner type, study protocol or any other settings. Moreover, the proposed algorithm reliably detected various types of hemorrhage within the skull. This work is one of the first applications of 3D CNN trained on a large dataset of cross sectional medical images for detection of a critical radiological condition

  20. International Human Resources Management of Japanese, American, and European Firms in Asia : The Roles of Headquarters and Subsidiaries

    OpenAIRE

    Hiromichi Shibata; Andrew Doyle

    2006-01-01

    The main role of the headquarters international human resources departments/business units of seven Japanese firms we researched is to manage the Japanese expatriates at their subsidiaries in Asia; they have little involvement with the management of local employees. The headquarters international human resources departments/business units at five researched American firms tend to maintain strong company value/mission that drives use of their performance appraisal/promotion systems for employe...

  1. Construction of a 3-D anatomical model for teaching temporal lobectomy.

    Science.gov (United States)

    de Ribaupierre, Sandrine; Wilson, Timothy D

    2012-06-01

    Although we live and work in 3 dimensional space, most of the anatomical teaching during medical school is done on 2-D (books, TV and computer screens, etc). 3-D spatial abilities are essential for a surgeon but teaching spatial skills in a non-threatening and safe educational environment is a much more difficult pedagogical task. Currently, initial anatomical knowledge formation or specific surgical anatomy techniques, are taught either in the OR itself, or in cadaveric labs; which means that the trainee has only limited exposure. 3-D computer models incorporated into virtual learning environments may provide an intermediate and key step in a blended learning approach for spatially challenging anatomical knowledge formation. Specific anatomical structures and their spatial orientation can be further clinically contextualized through demonstrations of surgical procedures in the 3-D digital environments. Recordings of digital models enable learner reviews, taking as much time as they want, stopping the demonstration, and/or exploring the model to understand the anatomical relation of each structure. We present here how a temporal lobectomy virtual model has been developed to aid residents and fellows conceptualization of the anatomical relationships between different cerebral structures during that procedure. We suggest in comparison to cadaveric dissection, such virtual models represent a cost effective pedagogical methodology providing excellent support for anatomical learning and surgical technique training. Copyright © 2012 Elsevier Ltd. All rights reserved.

  2. Effect of Stereoscopic Anaglyphic 3-Dimensional Video Didactics on Learning Neuroanatomy.

    Science.gov (United States)

    Goodarzi, Amir; Monti, Sara; Lee, Darrin; Girgis, Fady

    2017-11-01

    The teaching of neuroanatomy in medical education has historically been based on didactic instruction, cadaveric dissections, and intraoperative experience for students. Multiple novel 3-dimensional (3D) modalities have recently emerged. Among these, stereoscopic anaglyphic video is easily accessible and affordable, however, its effects have not yet formally been investigated. This study aimed to investigate if 3D stereoscopic anaglyphic video instruction in neuroanatomy could improve learning for content-naive students, as compared with 2-dimensional (2D) video instruction. A single-site controlled prospective case control study was conducted at the School of Education. Content knowledge was assessed at baseline, followed by the presentation of an instructional neuroanatomy video. Participants viewed the video in either 2D or 3D format and then completed a written test of skull base neuroanatomy. Pretest and post-test performances were analyzed with independent Student's t-tests and analysis of covariance. Our study was completed by 249 subjects. At baseline, the 2D (n = 124, F = 97) and 3D groups (n = 125, F = 96) were similar, although the 3D group was older by 1.7 years (P = 0.0355) and the curricula of participating classes differed (P < 0.0001). Average scores for the 3D group were higher for both pretest (2D, M = 19.9%, standard deviation [SD] = 12.5% vs. 3D, M = 23.9%, SD = 14.9%, P = 0.0234) and post-test performances (2D, M = 68.5%, SD = 18.6% vs. 3D, M = 77.3%, SD = 18.8%, P = 0.003), but the magnitude of improvement across groups did not reach statistical significance (2D, M = 48.7%, SD = 21.3%, vs. 3D, M = 53.5%, SD = 22.7%, P = 0.0855). Incorporation of 3D video instruction into curricula without careful integration is insufficient to promote learning over 2D video. Published by Elsevier Inc.

  3. A Holistic Approach to Knowledge Management and Social Learning: lessons learnt from military headquarters

    Directory of Open Access Journals (Sweden)

    Leoni Warne

    2001-11-01

    Full Text Available This paper reports on research conducted by the Enterprise Social Learning Architecture (ESLA team of the Defence Science and Technology Organisation. The ESLA team is investigating collaborative social learning within the Australian Defence Organisation (ADO. Social learning is tightly coupled to knowledge management. Three studies in three different settings have been conducted to date. The studies have provided multi-layered findings about social learning, and validated the use of ethnography for this purpose. Preliminary findings are discussed in this paper in terms of identified enablers and motivators for effective social learning and knowledge management. Although the paper deals with the defence environment, the findings can be generalised to other organisational settings, as the study deals with understanding the issues inherent in building sustainable and adaptive learning organisations.

  4. EFEKTIVITAS PEMBELAJARAN STEREOKIMIA BERBASIS VISUALISASI 3D MOLEKUL UNTUK MENINGKATKAN KEMAMPUAN SPASIAL

    Directory of Open Access Journals (Sweden)

    M. Setyarini

    2017-02-01

      Abstract: The purpose of this study is to investigate the effectiveness of stereochemistry learning programs based on 3D visualization of molecules using the open source chemical drawing softwares, Avogadro, and animation of chirality to improve spatial ability of teacher candidates. This study used a quasi-experimental control group pretest-posttest design. The research instrument consisted of 25 multiple choice questions along with the reasons elaboration, composed based on three major indicator dimensions of spatial ability. The research was conducted at a LPTK in Lampung Province, in the first semester of Academic Year 2014/2015. The subjects consisted of control class and experimental class, each of which consisted of 30 students. The results showed that the average post-test scores of spatial ability of students learning stereochemistry based on 3D visualization of molecules was significantly higher than the group of students learning using molymood media. The effectiveness of the program was shown by the increase in N-gain in the medium category and effect size (d in high category for the three main dimensions of spatial ability.   Key words: stereochemistry, 3D visualization, spatial ability, open-source software

  5. Fostering Verbal and Non-Verbal Social Interactions in a 3D Collaborative Virtual Learning Environment: A Case Study of Youth with Autism Spectrum Disorders Learning Social Competence in iSocial

    Science.gov (United States)

    Wang, Xianhui; Laffey, James; Xing, Wanli; Galyen, Krista; Stichter, Janine

    2017-01-01

    This case study describes the verbal and nonverbal social interaction of 11 youth with Autism Spectrum Disorders in a 3D Collaborative Virtual Learning Environment-iSocial. The youth were developing social competence through participation in a social competence intervention curriculum implemented online so as to provide access to high quality…

  6. 3D Virtual Worlds as Art Media and Exhibition Arenas: Students' Responses and Challenges in Contemporary Art Education

    Science.gov (United States)

    Lu, Lilly

    2013-01-01

    3D virtual worlds (3D VWs) are considered one of the emerging learning spaces of the 21st century; however, few empirical studies have investigated educational applications and student learning aspects in art education. This study focused on students' responses to and challenges with 3D VWs in both aspects. The findings show that most participants…

  7. When Salespeople Harbor Negative Stereotypes of their Corporate Headquarters : How Harmful is it and How can it be Avoided

    OpenAIRE

    Homburg, Christian; Wieseke, Jan; Lukas, Bryan A.; Mikolon, Sven

    2011-01-01

    This study examines the performance implications that organizations may suffer when their salespeople develop negative stereotypes of their corporate headquarters. How such stereotypes can be remedied through managerial action is also examined. The study draws on matched data from four different sources: sales managers, salespeople, customers, and company reports. Findings indicate that negative headquarters stereotypes among salespeople are associated with poor marketing-related performance ...

  8. Case study: Beauty and the Beast 3D: benefits of 3D viewing for 2D to 3D conversion

    Science.gov (United States)

    Handy Turner, Tara

    2010-02-01

    From the earliest stages of the Beauty and the Beast 3D conversion project, the advantages of accurate desk-side 3D viewing was evident. While designing and testing the 2D to 3D conversion process, the engineering team at Walt Disney Animation Studios proposed a 3D viewing configuration that not only allowed artists to "compose" stereoscopic 3D but also improved efficiency by allowing artists to instantly detect which image features were essential to the stereoscopic appeal of a shot and which features had minimal or even negative impact. At a time when few commercial 3D monitors were available and few software packages provided 3D desk-side output, the team designed their own prototype devices and collaborated with vendors to create a "3D composing" workstation. This paper outlines the display technologies explored, final choices made for Beauty and the Beast 3D, wish-lists for future development and a few rules of thumb for composing compelling 2D to 3D conversions.

  9. PENINGKATAN PENCAPAIAN KUALITAS LULUSAN D3 TEKNIK ELEKTRO DENGAN MODEL TEACHING FACTORY

    Directory of Open Access Journals (Sweden)

    Elsanda Merita Indrawati

    2017-02-01

    Full Text Available The purpose of this study, namely: (1 determine systematically theimplementation of teaching factory model of the learning process D3 electrical engineering; (2 determine the achievement quality D3 graduate in electrical engineering and Teaching Factory models. The approach used is a qualitative approach, data collection techniques through observation, interviews, documentation. Results of the assessment showed that the implementation of teaching factory model of the learning process D3 Electrical Engineering done quite well, starting from the standard of competence, media, lecturers, students, use and maintenance, production, marketing, evaluation has been structured well enough. But there are still shortcomings in the establishment of management due to the formation of management, the management structure remains unclear resulted in the implementation of the model is less than the maximum teachingfactory in the Department of Electrical Engineering D3. Implementation ofteaching factory in D3 Electrical Engineering UN PGRI Kediri has been goingpretty well, the resulting product has a quality worth selling, economical and multifunctional, the students are expected after graduation in addition to be absorbed in the industrialized world are working as interpreneur and employers on the products they produce so with the application of teaching factory, the quality D3 Electrical Engineering increasing

  10. MO-C-18A-01: Advances in Model-Based 3D Image Reconstruction

    International Nuclear Information System (INIS)

    Chen, G; Pan, X; Stayman, J; Samei, E

    2014-01-01

    applications. Learning Objectives: Learn the general methodologies associated with model-based 3D image reconstruction. Learn the potential advantages in image quality and dose associated with model-based image reconstruction. Learn the challenges associated with computational load and image quality assessment for such reconstruction methods. Learn how imaging task can be incorporated as a means to drive optimal image acquisition and reconstruction techniques. Learn how model-based reconstruction methods can incorporate prior information to improve image quality, ease sampling requirements, and reduce dose

  11. Bringing 3D Printing to Geophysical Science Education

    Science.gov (United States)

    Boghosian, A.; Turrin, M.; Porter, D. F.

    2014-12-01

    3D printing technology has been embraced by many technical fields, and is rapidly making its way into peoples' homes and schools. While there is a growing educational and hobbyist community engaged in the STEM focused technical and intellectual challenges associated with 3D printing, there is unrealized potential for the earth science community to use 3D printing to communicate scientific research to the public. Moreover, 3D printing offers scientists the opportunity to connect students and the public with novel visualizations of real data. As opposed to introducing terrestrial measurements through the use of colormaps and gradients, scientists can represent 3D concepts with 3D models, offering a more intuitive education tool. Furthermore, the tactile aspect of models make geophysical concepts accessible to a wide range of learning styles like kinesthetic or tactile, and learners including both visually impaired and color-blind students.We present a workflow whereby scientists, students, and the general public will be able to 3D print their own versions of geophysical datasets, even adding time through layering to include a 4th dimension, for a "4D" print. This will enable scientists with unique and expert insights into the data to easily create the tools they need to communicate their research. It will allow educators to quickly produce teaching aids for their students. Most importantly, it will enable the students themselves to translate the 2D representation of geophysical data into a 3D representation of that same data, reinforcing spatial reasoning.

  12. 2D/3D/4D ULTRASOUND IN INFERTILITY MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Uršula Reš-Muravec

    2018-02-01

    . Conclusions: There is an increasing number of ultrasound machines offering us beside 2D, 3D and 4D technology. It is important to learn the applications and use them in our daily practice. The recorded volumes can be examined at any time in any plan. In any unclear pathology the recorded volume can be send for second opinion and discussed further.

  13. Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data

    KAUST Repository

    Sung, Chul

    2013-08-01

    Accurate estimation of neuronal count and distribution is central to the understanding of the organization and layout of cortical maps in the brain, and changes in the cell population induced by brain disorders. High-throughput 3D microscopy techniques such as Knife-Edge Scanning Microscopy (KESM) are enabling whole-brain survey of neuronal distributions. Data from such techniques pose serious challenges to quantitative analysis due to the massive, growing, and sparsely labeled nature of the data. In this paper, we present a scalable, incremental learning algorithm for cell body detection that can address these issues. Our algorithm is computationally efficient (linear mapping, non-iterative) and does not require retraining (unlike gradient-based approaches) or retention of old raw data (unlike instance-based learning). We tested our algorithm on our rat brain Nissl data set, showing superior performance compared to an artificial neural network-based benchmark, and also demonstrated robust performance in a scenario where the data set is rapidly growing in size. Our algorithm is also highly parallelizable due to its incremental nature, and we demonstrated this empirically using a MapReduce-based implementation of the algorithm. We expect our scalable, incremental learning approach to be widely applicable to medical imaging domains where there is a constant flux of new data. © 2013 IEEE.

  14. MO-B-BRD-01: Creation of 3D Printed Phantoms for Clinical Radiation Therapy

    International Nuclear Information System (INIS)

    Ehler, E.

    2015-01-01

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  15. MO-B-BRD-01: Creation of 3D Printed Phantoms for Clinical Radiation Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Ehler, E. [University of Minnesota (United States)

    2015-06-15

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  16. Combining heterogenous features for 3D hand-held object recognition

    Science.gov (United States)

    Lv, Xiong; Wang, Shuang; Li, Xiangyang; Jiang, Shuqiang

    2014-10-01

    Object recognition has wide applications in the area of human-machine interaction and multimedia retrieval. However, due to the problem of visual polysemous and concept polymorphism, it is still a great challenge to obtain reliable recognition result for the 2D images. Recently, with the emergence and easy availability of RGB-D equipment such as Kinect, this challenge could be relieved because the depth channel could bring more information. A very special and important case of object recognition is hand-held object recognition, as hand is a straight and natural way for both human-human interaction and human-machine interaction. In this paper, we study the problem of 3D object recognition by combining heterogenous features with different modalities and extraction techniques. For hand-craft feature, although it reserves the low-level information such as shape and color, it has shown weakness in representing hiconvolutionalgh-level semantic information compared with the automatic learned feature, especially deep feature. Deep feature has shown its great advantages in large scale dataset recognition but is not always robust to rotation or scale variance compared with hand-craft feature. In this paper, we propose a method to combine hand-craft point cloud features and deep learned features in RGB and depth channle. First, hand-held object segmentation is implemented by using depth cues and human skeleton information. Second, we combine the extracted hetegerogenous 3D features in different stages using linear concatenation and multiple kernel learning (MKL). Then a training model is used to recognize 3D handheld objects. Experimental results validate the effectiveness and gerneralization ability of the proposed method.

  17. 3D Modeling and Printing in History/Social Studies Classrooms: Initial Lessons and Insights

    Science.gov (United States)

    Maloy, Robert; Trust, Torrey; Kommers, Suzan; Malinowski, Allison; LaRoche, Irene

    2017-01-01

    This exploratory study examines the use of 3D technology by teachers and students in four middle school history/social studies classrooms. As part of a university-developed 3D Printing 4 Teaching & Learning project, teachers integrated 3D modeling and printing into curriculum topics in world geography, U.S. history, and government/civics.…

  18. Refined 3d-3d correspondence

    Energy Technology Data Exchange (ETDEWEB)

    Alday, Luis F.; Genolini, Pietro Benetti; Bullimore, Mathew; Loon, Mark van [Mathematical Institute, University of Oxford, Andrew Wiles Building,Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG (United Kingdom)

    2017-04-28

    We explore aspects of the correspondence between Seifert 3-manifolds and 3d N=2 supersymmetric theories with a distinguished abelian flavour symmetry. We give a prescription for computing the squashed three-sphere partition functions of such 3d N=2 theories constructed from boundary conditions and interfaces in a 4d N=2{sup ∗} theory, mirroring the construction of Seifert manifold invariants via Dehn surgery. This is extended to include links in the Seifert manifold by the insertion of supersymmetric Wilson-’t Hooft loops in the 4d N=2{sup ∗} theory. In the presence of a mass parameter for the distinguished flavour symmetry, we recover aspects of refined Chern-Simons theory with complex gauge group, and in particular construct an analytic continuation of the S-matrix of refined Chern-Simons theory.

  19. YouDash3D: exploring stereoscopic 3D gaming for 3D movie theaters

    Science.gov (United States)

    Schild, Jonas; Seele, Sven; Masuch, Maic

    2012-03-01

    Along with the success of the digitally revived stereoscopic cinema, events beyond 3D movies become attractive for movie theater operators, i.e. interactive 3D games. In this paper, we present a case that explores possible challenges and solutions for interactive 3D games to be played by a movie theater audience. We analyze the setting and showcase current issues related to lighting and interaction. Our second focus is to provide gameplay mechanics that make special use of stereoscopy, especially depth-based game design. Based on these results, we present YouDash3D, a game prototype that explores public stereoscopic gameplay in a reduced kiosk setup. It features live 3D HD video stream of a professional stereo camera rig rendered in a real-time game scene. We use the effect to place the stereoscopic effigies of players into the digital game. The game showcases how stereoscopic vision can provide for a novel depth-based game mechanic. Projected trigger zones and distributed clusters of the audience video allow for easy adaptation to larger audiences and 3D movie theater gaming.

  20. Effectiveness of Collaborative Learning with 3D Virtual Worlds

    Science.gov (United States)

    Cho, Young Hoan; Lim, Kenneth Y. T.

    2017-01-01

    Virtual worlds have affordances to enhance collaborative learning in authentic contexts. Despite the potential of collaborative learning with a virtual world, few studies investigated whether it is more effective in student achievements than teacher-directed instruction. This study investigated the effectiveness of collaborative problem solving…

  1. Higher-Order Neural Networks Applied to 2D and 3D Object Recognition

    Science.gov (United States)

    Spirkovska, Lilly; Reid, Max B.

    1994-01-01

    A Higher-Order Neural Network (HONN) can be designed to be invariant to geometric transformations such as scale, translation, and in-plane rotation. Invariances are built directly into the architecture of a HONN and do not need to be learned. Thus, for 2D object recognition, the network needs to be trained on just one view of each object class, not numerous scaled, translated, and rotated views. Because the 2D object recognition task is a component of the 3D object recognition task, built-in 2D invariance also decreases the size of the training set required for 3D object recognition. We present results for 2D object recognition both in simulation and within a robotic vision experiment and for 3D object recognition in simulation. We also compare our method to other approaches and show that HONNs have distinct advantages for position, scale, and rotation-invariant object recognition. The major drawback of HONNs is that the size of the input field is limited due to the memory required for the large number of interconnections in a fully connected network. We present partial connectivity strategies and a coarse-coding technique for overcoming this limitation and increasing the input field to that required by practical object recognition problems.

  2. A new neural net approach to robot 3D perception and visuo-motor coordination

    Science.gov (United States)

    Lee, Sukhan

    1992-01-01

    A novel neural network approach to robot hand-eye coordination is presented. The approach provides a true sense of visual error servoing, redundant arm configuration control for collision avoidance, and invariant visuo-motor learning under gazing control. A 3-D perception network is introduced to represent the robot internal 3-D metric space in which visual error servoing and arm configuration control are performed. The arm kinematic network performs the bidirectional association between 3-D space arm configurations and joint angles, and enforces the legitimate arm configurations. The arm kinematic net is structured by a radial-based competitive and cooperative network with hierarchical self-organizing learning. The main goal of the present work is to demonstrate that the neural net representation of the robot 3-D perception net serves as an important intermediate functional block connecting robot eyes and arms.

  3. News from IAEA Headquarters

    International Nuclear Information System (INIS)

    1966-01-01

    Full text: Two more countries have joined the Agency - Panama and Jordan - bringing IAEA membership up to 96. Mr. Ginige Richard Walter de Silva (Ceylon) has been appointed Director of the Division of Conference and General Services of the Agency. Born in 1911 at Nugegeda, Ceylon, Mr. de Silva obtained his B.Sc. in Physics at London University and his M.A. in Physics and Mathematics at Cambridge University. He has had a long career in the Civil Service, mainly in the administrative, commercial and finance branches of government. Mr.de Silva took over from Mr. Arthur E. Barrett, Chief of the Conference and Engineering Services, who had been Acting Director of the Division for a long period of time, and who will be leaving the Agency later this year to take up work elsewhere. From the early days of IAEA in 1957, Mr. Barrett has been closely associated with the establishment of the Agency's temporary headquarters in Vienna. He has been in charge of the planning and design of the technical facilities for the various conference installations and responsible for the servicing of all the General Conference sessions since 1958. In fact, Mr. Barrett has played an essential part in the creation of the Vienna Congress Centre in the former Hofburg Imperial Palace. Educated at Cambridge and London Universities, Mr. Barrett has had some 35 years of public service, first in the BBC in London and subsequently with the United Nations in New York. (author)

  4. News from IAEA Headquarters

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1966-06-15

    Full text: Two more countries have joined the Agency - Panama and Jordan - bringing IAEA membership up to 96. Mr. Ginige Richard Walter de Silva (Ceylon) has been appointed Director of the Division of Conference and General Services of the Agency. Born in 1911 at Nugegeda, Ceylon, Mr. de Silva obtained his B.Sc. in Physics at London University and his M.A. in Physics and Mathematics at Cambridge University. He has had a long career in the Civil Service, mainly in the administrative, commercial and finance branches of government. Mr.de Silva took over from Mr. Arthur E. Barrett, Chief of the Conference and Engineering Services, who had been Acting Director of the Division for a long period of time, and who will be leaving the Agency later this year to take up work elsewhere. From the early days of IAEA in 1957, Mr. Barrett has been closely associated with the establishment of the Agency's temporary headquarters in Vienna. He has been in charge of the planning and design of the technical facilities for the various conference installations and responsible for the servicing of all the General Conference sessions since 1958. In fact, Mr. Barrett has played an essential part in the creation of the Vienna Congress Centre in the former Hofburg Imperial Palace. Educated at Cambridge and London Universities, Mr. Barrett has had some 35 years of public service, first in the BBC in London and subsequently with the United Nations in New York. (author)

  5. 3D-mallien muokkaus 3D-tulostamista varten CAD-ohjelmilla

    OpenAIRE

    Lehtimäki, Jarmo

    2013-01-01

    Insinöörityössäni käsitellään 3D-mallien tulostamista ja erityisesti 3D-mallien mallintamista niin, että kappaleiden valmistaminen 3D-tulostimella onnistuisi mahdollisimman hyvin. Työ tehtiin Prohoc Oy:lle, joka sijaitsee Vaasassa. 3D-tulostuspalveluun tuli jatkuvasti 3D-malleja, joiden tulostuksessa oli ongelmia. Työssäni tutkin näiden ongelmien syntyä ja tein ohjeita eri 3D-mallinnusohjelmille, joiden tarkoituksena on auttaa tekemään helpommin tulostettavia 3D-malleja. Työhön kuului myös et...

  6. Mapping R&D within Multinational Networks: Evidence from the Electronics Industry

    Science.gov (United States)

    Urze, Paula; Manatos, Maria João

    Based on the final results of the R&D.COM - Local R&D COMpetencies within Global Value Chains project, this paper aims at mapping the trajectories of delocalised R&D units within a multinational’s global strategy and designing the knowledge flows within the global value chain. This analysis was performed using typologies proposed in the theoretical framework, which help us to have an overview of the network. The methodology is grounded on one extended case study that involves a local R&D unit (Portugal), a foreign R&D unit (Netherlands) and the headquarters (Norway) - developed on a multinational from the electronics industry. This case is an example of a multinational company where R&D is developed mainly in the headquarters but it is also delocalised to some subsidiaries with a certain level of autonomy.

  7. 3D imaging, 3D printing and 3D virtual planning in endodontics.

    Science.gov (United States)

    Shah, Pratik; Chong, B S

    2018-03-01

    The adoption and adaptation of recent advances in digital technology, such as three-dimensional (3D) printed objects and haptic simulators, in dentistry have influenced teaching and/or management of cases involving implant, craniofacial, maxillofacial, orthognathic and periodontal treatments. 3D printed models and guides may help operators plan and tackle complicated non-surgical and surgical endodontic treatment and may aid skill acquisition. Haptic simulators may assist in the development of competency in endodontic procedures through the acquisition of psycho-motor skills. This review explores and discusses the potential applications of 3D printed models and guides, and haptic simulators in the teaching and management of endodontic procedures. An understanding of the pertinent technology related to the production of 3D printed objects and the operation of haptic simulators are also presented.

  8. 3D for iPhone Apps with Blender and SIO2 Your Guide to Creating 3D Games and More with Open-Source Software

    CERN Document Server

    Mullen, Tony

    2010-01-01

    Create exciting, interactive 3D apps for the iPhone and iPod Touch. What a combination-using free, open-source Blender software and the SI02 game engine to create very cool 3D characters and games for the very hot devices of the moment, the iPhone and iPod Touch. Whether you're coming to this as an iPhone developer or as a Blender artist, this book is for you. Learn how to create 3D content using Blender's WYSIWYG approach, find helpful information on Xcode and other iPhone SDK topics, master physical collisions, and acquire the skills you need to bridge both worlds with fun, compelling conten

  9. Guidelines for radiation oncology centres in AFRA Member States intending to make a transition from 2-D to 3-D treatment planning and delivery

    International Nuclear Information System (INIS)

    Meghzifene, A.

    2007-01-01

    The IAEA Regional Technical Cooperation Project RAF/6/031 on Medical Physics in Support of Cancer Management aims to strengthen national and regional medical physics capabilities to sustain radiotherapy treatments in the AFRA1 Member States. In particular, it aims at increasing the number of qualified medical physicists in the region as well as improving the level of medical physics by establishing regional training and continuous development programmes. Eighteen National Project Coordinators (NPCs) nominated by participating AFRA Member States are engaged in the project. RAF/6/031 was approved by the IAEA in 2005 for an initial five year duration. A coordination meeting is held every two years where the NPCs and IAEA Technical and Project Management Officers establish the project's training and development programmes. During the first coordination meeting at Cape Town in November 2005, it was decided to convene a Task Force Meeting to review the status of treatment planning in radiotherapy in AFRA Member States and prepare a guidance document on the transition from 2-D to 3-D treatment planning. This Task Force Meeting took place at the IAEA's Headquarters in Vienna on 23-26 April 2007. The resulting guidance document highlights the milestones that have to be achieved by radiotherapy centres routinely implementing 2-D computerized treatment planning before making a transition to 3-D treatment planning and delivery. The implementation of 3-D planning by radiotherapy centres that have not yet met these milestones could lead to serious mistakes in treatments. A self-assessment questionnaire was also prepared during the Task Force Meeting. Member States that are planning to make a transition to 3-D planning are advised to assess their existing capabilities through this questionnaire. The same questionnaire could also be useful for the IAEA staff and external experts when assessing the readiness of a radiotherapy centre to make a safe and effective transition to 3-D

  10. A 3d-3d appetizer

    Energy Technology Data Exchange (ETDEWEB)

    Pei, Du; Ye, Ke [Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, 91125 (United States)

    2016-11-02

    We test the 3d-3d correspondence for theories that are labeled by Lens spaces. We find a full agreement between the index of the 3d N=2 “Lens space theory” T[L(p,1)] and the partition function of complex Chern-Simons theory on L(p,1). In particular, for p=1, we show how the familiar S{sup 3} partition function of Chern-Simons theory arises from the index of a free theory. For large p, we find that the index of T[L(p,1)] becomes a constant independent of p. In addition, we study T[L(p,1)] on the squashed three-sphere S{sub b}{sup 3}. This enables us to see clearly, at the level of partition function, to what extent G{sub ℂ} complex Chern-Simons theory can be thought of as two copies of Chern-Simons theory with compact gauge group G.

  11. Contextual EFL Learning in a 3D Virtual Environment

    Science.gov (United States)

    Lan, Yu-Ju

    2015-01-01

    The purposes of the current study are to develop virtually immersive EFL learning contexts for EFL learners in Taiwan to pre- and review English materials beyond the regular English class schedule. A 2-iteration action research lasting for one semester was conducted to evaluate the effects of virtual contexts on learners' EFL learning. 132…

  12. Quasi 3D dosimetry (EPID, conventional 2D/3D detector matrices)

    International Nuclear Information System (INIS)

    Bäck, A

    2015-01-01

    Patient specific pretreatment measurement for IMRT and VMAT QA should preferably give information with a high resolution in 3D. The ability to distinguish complex treatment plans, i.e. treatment plans with a difference between measured and calculated dose distributions that exceeds a specified tolerance, puts high demands on the dosimetry system used for the pretreatment measurements and the results of the measurement evaluation needs a clinical interpretation. There are a number of commercial dosimetry systems designed for pretreatment IMRT QA measurements. 2D arrays such as MapCHECK ® (Sun Nuclear), MatriXX Evolution (IBA Dosimetry) and OCTAVIOUS ® 1500 (PTW), 3D phantoms such as OCTAVIUS ® 4D (PTW), ArcCHECK ® (Sun Nuclear) and Delta 4 (ScandiDos) and software for EPID dosimetry and 3D reconstruction of the dose in the patient geometry such as EPIDose TM (Sun Nuclear) and Dosimetry Check TM (Math Resolutions) are available. None of those dosimetry systems can measure the 3D dose distribution with a high resolution (full 3D dose distribution). Those systems can be called quasi 3D dosimetry systems. To be able to estimate the delivered dose in full 3D the user is dependent on a calculation algorithm in the software of the dosimetry system. All the vendors of the dosimetry systems mentioned above provide calculation algorithms to reconstruct a full 3D dose in the patient geometry. This enables analyzes of the difference between measured and calculated dose distributions in DVHs of the structures of clinical interest which facilitates the clinical interpretation and is a promising tool to be used for pretreatment IMRT QA measurements. However, independent validation studies on the accuracy of those algorithms are scarce. Pretreatment IMRT QA using the quasi 3D dosimetry systems mentioned above rely on both measurement uncertainty and accuracy of calculation algorithms. In this article, these quasi 3D dosimetry systems and their use in patient specific

  13. 3D Digital Legos for Teaching Security Protocols

    Science.gov (United States)

    Yu, Li; Harrison, L.; Lu, Aidong; Li, Zhiwei; Wang, Weichao

    2011-01-01

    We have designed and developed a 3D digital Lego system as an education tool for teaching security protocols effectively in Information Assurance courses (Lego is a trademark of the LEGO Group. Here, we use it only to represent the pieces of a construction set.). Our approach applies the pedagogical methods learned from toy construction sets by…

  14. Student-directed investigation of natural phenomena: Using digital simulations to achieve NGSS-aligned 3D learning in middle school

    Science.gov (United States)

    Selvans, M. M.; Spafford, C. D.

    2016-12-01

    Many Earth Science phenomena cannot be observed directly because they happen slowly (e.g., Plate Motion) or at large spatial scales (e.g., Weather Patterns). Such topics are investigated by scientists through analysis of large data sets, numerical modeling, and laboratory studies that isolate aspects of the overall phenomena. Middle school students have limited time and lab equipment in comparison, but can employ authentic science practices through investigations using interactive digital simulations (sims). Designing a sim aligned to the Next Generation Science Standards (NGSS) allows students to explore and connect to science ideas in a seamless and supportive way that also deepens their understanding of the phenomena. We helped develop seven units, including the two above, that cover the middle school Earth Science Disciplinary Core Ideas and give students exposure to the other two dimensions of the NGSS (science practices and cross-cutting concepts). These units are developed by the Learning Design Group and Amplify Science. Sims are key to how students engage in 3D learning in these units. For example, in the Rock Transformations Sim students can investigate the ideas that energy from the sun and from Earth's interior can transform rock, and that the transformation processes change the Earth's surface at varying time and spatial scales (ESS2.A). Students can choose and selectively apply transformation processes (melting, weathering, etc.) or energy sources to rock in a cross-section landscape to explore their effects. Students are able to plan steps for making a particular rock transformation happen and carry out their own investigations. A benefit of using a digital platform for student learning is the ability to embed formative assessment. When students plan and carry out missions to achieve specific objectives, the digital platform can capture a record of their actions to measure how they apply science ideas from instruction. Data of these actions, combined

  15. Reactor D and D at Argonne National Laboratory - lessons learned

    International Nuclear Information System (INIS)

    Fellhauer, C. R.

    1998-01-01

    This paper focuses on the lessons learned during the decontamination and decommissioning (D and D) of two reactors at Argonne National Laboratory-East (ANL-E). The Experimental Boiling Water Reactor (EBWR) was a 100 MW(t), 5 MSV(e) proof-of-concept facility. The Janus Reactor was a 200 kW(t) reactor located at the Biological Irradiation Facility and was used to study the effects of neutron radiation on animals

  16. Course Design and Student Responses to an Online PBL Course in 3D Modelling for Mining Engineers

    Science.gov (United States)

    McAlpine, Iain; Stothard, Phillip

    2005-01-01

    To enhance a course in 3D Virtual Reality (3D VR) modelling for mining engineers, and to create the potential for off campus students to fully engage with the course, a problem based learning (PBL) approach was applied to the course design and all materials and learning activities were provided online. This paper outlines some of the theoretical…

  17. Visualizer: 3D Gridded Data Visualization Software for Geoscience Education and Research

    Science.gov (United States)

    Harwood, C.; Billen, M. I.; Kreylos, O.; Jadamec, M.; Sumner, D. Y.; Kellogg, L. H.; Hamann, B.

    2008-12-01

    In both research and education learning is an interactive and iterative process of exploring and analyzing data or model results. However, visualization software often presents challenges on the path to learning because it assumes the user already knows the locations and types of features of interest, instead of enabling flexible and intuitive examination of results. We present examples of research and teaching using the software, Visualizer, specifically designed to create an effective and intuitive environment for interactive, scientific analysis of 3D gridded data. Visualizer runs in a range of 3D virtual reality environments (e.g., GeoWall, ImmersaDesk, or CAVE), but also provides a similar level of real-time interactivity on a desktop computer. When using Visualizer in a 3D-enabled environment, the software allows the user to interact with the data images as real objects, grabbing, rotating or walking around the data to gain insight and perspective. On the desktop, simple features, such as a set of cross-bars marking the plane of the screen, provide extra 3D spatial cues that allow the user to more quickly understand geometric relationships within the data. This platform portability allows the user to more easily integrate research results into classroom demonstrations and exercises, while the interactivity provides an engaging environment for self-directed and inquiry-based learning by students. Visualizer software is freely available for download (www.keckcaves.org) and runs on Mac OSX and Linux platforms.

  18. 3D MR cisternography to identify distal dural rings. Comparison of 3D-CISS and 3D-SPACE sequences

    International Nuclear Information System (INIS)

    Watanabe, Yoshiyuki; Makidono, Akari; Nakamura, Miho; Saida, Yukihisa

    2011-01-01

    The distal dural ring (DDR) is an anatomical landmark used to distinguish intra- and extradural aneurysms. We investigated identification of the DDR using 2 three-dimensional (3D) magnetic resonance (MR) cisternography sequences-3D constructive interference in steady state (CISS) and 3D sampling perfection with application optimized contrasts using different flip angle evolutions (SPACE)-at 3.0 tesla. Ten healthy adult volunteers underwent imaging with 3D-CISS, 3D-SPACE, and time-of-flight (TOF) MR angiography (TOF-MRA) sequences at 3.0T. We analyzed DDR identification and internal carotid artery (ICA) signal intensity and classified the shape of the carotid cave. We identified the DDR using both 3D-SPACE and 3D-CISS, with no significant difference between the sequences. Visualization of the outline of the ICA in the cavernous sinus (CS) was significantly clearer with 3D-SPACE than 3D-CISS. In the CS and petrous portions, signal intensity was lower with 3D-SPACE, and the flow void was poor with 3D-CISS in some subjects. We identified the DDR with both 3D-SPACE and 3D-CISS, but the superior contrast of the ICA in the CS using 3D-SPACE suggests the superiority of this sequence for evaluating the DDR. (author)

  19. Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views

    OpenAIRE

    Massa, Francisco; Russell, Bryan; Aubry, Mathieu

    2015-01-01

    This paper presents an end-to-end convolutional neural network (CNN) for 2D-3D exemplar detection. We demonstrate that the ability to adapt the features of natural images to better align with those of CAD rendered views is critical to the success of our technique. We show that the adaptation can be learned by compositing rendered views of textured object models on natural images. Our approach can be naturally incorporated into a CNN detection pipeline and extends the accuracy and speed benefi...

  20. 3D movies for teaching seafloor bathymetry, plate tectonics, and ocean circulation in large undergraduate classes

    Science.gov (United States)

    Peterson, C. D.; Lisiecki, L. E.; Gebbie, G.; Hamann, B.; Kellogg, L. H.; Kreylos, O.; Kronenberger, M.; Spero, H. J.; Streletz, G. J.; Weber, C.

    2015-12-01

    Geologic problems and datasets are often 3D or 4D in nature, yet projected onto a 2D surface such as a piece of paper or a projection screen. Reducing the dimensionality of data forces the reader to "fill in" that collapsed dimension in their minds, creating a cognitive challenge for the reader, especially new learners. Scientists and students can visualize and manipulate 3D datasets using the virtual reality software developed for the immersive, real-time interactive 3D environment at the KeckCAVES at UC Davis. The 3DVisualizer software (Billen et al., 2008) can also operate on a desktop machine to produce interactive 3D maps of earthquake epicenter locations and 3D bathymetric maps of the seafloor. With 3D projections of seafloor bathymetry and ocean circulation proxy datasets in a virtual reality environment, we can create visualizations of carbon isotope (δ13C) records for academic research and to aid in demonstrating thermohaline circulation in the classroom. Additionally, 3D visualization of seafloor bathymetry allows students to see features of seafloor most people cannot observe first-hand. To enhance lessons on mid-ocean ridges and ocean basin genesis, we have created movies of seafloor bathymetry for a large-enrollment undergraduate-level class, Introduction to Oceanography. In the past four quarters, students have enjoyed watching 3D movies, and in the fall quarter (2015), we will assess how well 3D movies enhance learning. The class will be split into two groups, one who learns about the Mid-Atlantic Ridge from diagrams and lecture, and the other who learns with a supplemental 3D visualization. Both groups will be asked "what does the seafloor look like?" before and after the Mid-Atlantic Ridge lesson. Then the whole class will watch the 3D movie and respond to an additional question, "did the 3D visualization enhance your understanding of the Mid-Atlantic Ridge?" with the opportunity to further elaborate on the effectiveness of the visualization.

  1. 3D video

    CERN Document Server

    Lucas, Laurent; Loscos, Céline

    2013-01-01

    While 3D vision has existed for many years, the use of 3D cameras and video-based modeling by the film industry has induced an explosion of interest for 3D acquisition technology, 3D content and 3D displays. As such, 3D video has become one of the new technology trends of this century.The chapters in this book cover a large spectrum of areas connected to 3D video, which are presented both theoretically and technologically, while taking into account both physiological and perceptual aspects. Stepping away from traditional 3D vision, the authors, all currently involved in these areas, provide th

  2. 3D composite image, 3D MRI, 3D SPECT, hydrocephalus

    International Nuclear Information System (INIS)

    Mito, T.; Shibata, I.; Sugo, N.; Takano, M.; Takahashi, H.

    2002-01-01

    The three-dimensional (3D)SPECT imaging technique we have studied and published for the past several years is an analytical tool that permits visual expression of the cerebral circulation profile in various cerebral diseases. The greatest drawback of SPECT is that the limitation on precision of spacial resolution makes intracranial localization impossible. In 3D SPECT imaging, intracranial volume and morphology may vary with the threshold established. To solve this problem, we have produced complimentarily combined SPECT and helical-CT 3D images by means of general-purpose visualization software for intracranial localization. In hydrocephalus, however, the key subject to be studied is the profile of cerebral circulation around the ventricles of the brain. This suggests that, for displaying the cerebral ventricles in three dimensions, CT is a difficult technique whereas MRI is more useful. For this reason, we attempted to establish the profile of cerebral circulation around the cerebral ventricles by the production of combined 3D images of SPECT and MRI. In patients who had shunt surgery for hydrocephalus, a difference between pre- and postoperative cerebral circulation profiles was assessed by a voxel distribution curve, 3D SPECT images, and combined 3D SPECT and MRI images. As the shunt system in this study, an Orbis-Sigma valve of the automatic cerebrospinal fluid volume adjustment type was used in place of the variable pressure type Medos valve currently in use, because this device requires frequent changes in pressure and a change in pressure may be detected after MRI procedure. The SPECT apparatus used was PRISM3000 of the three-detector type, and 123I-IMP was used as the radionuclide in a dose of 222 MBq. MRI data were collected with an MAGNEXa+2 with a magnetic flux density of 0.5 tesla under the following conditions: field echo; TR 50 msec; TE, 10 msec; flip, 30ueK; 1 NEX; FOV, 23 cm; 1-mm slices; and gapless. 3D images are produced on the workstation TITAN

  3. 3D Printing and 3D Bioprinting in Pediatrics.

    Science.gov (United States)

    Vijayavenkataraman, Sanjairaj; Fuh, Jerry Y H; Lu, Wen Feng

    2017-07-13

    Additive manufacturing, commonly referred to as 3D printing, is a technology that builds three-dimensional structures and components layer by layer. Bioprinting is the use of 3D printing technology to fabricate tissue constructs for regenerative medicine from cell-laden bio-inks. 3D printing and bioprinting have huge potential in revolutionizing the field of tissue engineering and regenerative medicine. This paper reviews the application of 3D printing and bioprinting in the field of pediatrics.

  4. 3D Printing and 3D Bioprinting in Pediatrics

    OpenAIRE

    Vijayavenkataraman, Sanjairaj; Fuh, Jerry Y H; Lu, Wen Feng

    2017-01-01

    Additive manufacturing, commonly referred to as 3D printing, is a technology that builds three-dimensional structures and components layer by layer. Bioprinting is the use of 3D printing technology to fabricate tissue constructs for regenerative medicine from cell-laden bio-inks. 3D printing and bioprinting have huge potential in revolutionizing the field of tissue engineering and regenerative medicine. This paper reviews the application of 3D printing and bioprinting in the field of pediatrics.

  5. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.

    Science.gov (United States)

    Guo, Yanrong; Gao, Yaozong; Shao, Yeqin; Price, True; Oto, Aytekin; Shen, Dinggang

    2014-07-01

    prostate surface and trained to adaptively capture the appearance in different prostate zones, thus achieving better local tissue differentiation. For each local region, multiple classifiers are trained based on the randomly selected samples and finally assembled by a specific fusion method. In addition to this nonparametric appearance model, a prostate shape model is learned from the shape statistics using a novel approach, sparse shape composition, which can model nonGaussian distributions of shape variation and regularize the 3D mesh deformation by constraining it within the observed shape subspace. The proposed method has been evaluated on two datasets consisting of T2-weighted MR prostate images. For the first (internal) dataset, the classification effectiveness of the authors' improved dictionary learning has been validated by comparing it with three other variants of traditional dictionary learning methods. The experimental results show that the authors' method yields a Dice Ratio of 89.1% compared to the manual segmentation, which is more accurate than the three state-of-the-art MR prostate segmentation methods under comparison. For the second dataset, the MICCAI 2012 challenge dataset, the authors' proposed method yields a Dice Ratio of 87.4%, which also achieves better segmentation accuracy than other methods under comparison. A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable model and dictionary learning methods, which achieves more accurate segmentation performance on prostate T2 MR images.

  6. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning

    Science.gov (United States)

    Guo, Yanrong; Gao, Yaozong; Shao, Yeqin; Price, True; Oto, Aytekin; Shen, Dinggang

    2014-01-01

    patches of the prostate surface and trained to adaptively capture the appearance in different prostate zones, thus achieving better local tissue differentiation. For each local region, multiple classifiers are trained based on the randomly selected samples and finally assembled by a specific fusion method. In addition to this nonparametric appearance model, a prostate shape model is learned from the shape statistics using a novel approach, sparse shape composition, which can model nonGaussian distributions of shape variation and regularize the 3D mesh deformation by constraining it within the observed shape subspace. Results: The proposed method has been evaluated on two datasets consisting of T2-weighted MR prostate images. For the first (internal) dataset, the classification effectiveness of the authors' improved dictionary learning has been validated by comparing it with three other variants of traditional dictionary learning methods. The experimental results show that the authors' method yields a Dice Ratio of 89.1% compared to the manual segmentation, which is more accurate than the three state-of-the-art MR prostate segmentation methods under comparison. For the second dataset, the MICCAI 2012 challenge dataset, the authors' proposed method yields a Dice Ratio of 87.4%, which also achieves better segmentation accuracy than other methods under comparison. Conclusions: A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable model and dictionary learning methods, which achieves more accurate segmentation performance on prostate T2 MR images. PMID:24989402

  7. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning

    International Nuclear Information System (INIS)

    Guo, Yanrong; Shao, Yeqin; Gao, Yaozong; Price, True; Oto, Aytekin; Shen, Dinggang

    2014-01-01

    different patches of the prostate surface and trained to adaptively capture the appearance in different prostate zones, thus achieving better local tissue differentiation. For each local region, multiple classifiers are trained based on the randomly selected samples and finally assembled by a specific fusion method. In addition to this nonparametric appearance model, a prostate shape model is learned from the shape statistics using a novel approach, sparse shape composition, which can model nonGaussian distributions of shape variation and regularize the 3D mesh deformation by constraining it within the observed shape subspace. Results: The proposed method has been evaluated on two datasets consisting of T2-weighted MR prostate images. For the first (internal) dataset, the classification effectiveness of the authors' improved dictionary learning has been validated by comparing it with three other variants of traditional dictionary learning methods. The experimental results show that the authors' method yields a Dice Ratio of 89.1% compared to the manual segmentation, which is more accurate than the three state-of-the-art MR prostate segmentation methods under comparison. For the second dataset, the MICCAI 2012 challenge dataset, the authors' proposed method yields a Dice Ratio of 87.4%, which also achieves better segmentation accuracy than other methods under comparison. Conclusions: A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable model and dictionary learning methods, which achieves more accurate segmentation performance on prostate T2 MR images

  8. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning

    Energy Technology Data Exchange (ETDEWEB)

    Guo, Yanrong; Shao, Yeqin [Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599 (United States); Gao, Yaozong; Price, True [Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599 and Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina 27599 (United States); Oto, Aytekin [Department of Radiology, Section of Urology, University of Chicago, Illinois 60637 (United States); Shen, Dinggang, E-mail: dgshen@med.unc.edu [Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599 and Department of Brain and Cognitive Engineering, Korea University, Seoul 136-713 (Korea, Republic of)

    2014-07-15

    different patches of the prostate surface and trained to adaptively capture the appearance in different prostate zones, thus achieving better local tissue differentiation. For each local region, multiple classifiers are trained based on the randomly selected samples and finally assembled by a specific fusion method. In addition to this nonparametric appearance model, a prostate shape model is learned from the shape statistics using a novel approach, sparse shape composition, which can model nonGaussian distributions of shape variation and regularize the 3D mesh deformation by constraining it within the observed shape subspace. Results: The proposed method has been evaluated on two datasets consisting of T2-weighted MR prostate images. For the first (internal) dataset, the classification effectiveness of the authors' improved dictionary learning has been validated by comparing it with three other variants of traditional dictionary learning methods. The experimental results show that the authors' method yields a Dice Ratio of 89.1% compared to the manual segmentation, which is more accurate than the three state-of-the-art MR prostate segmentation methods under comparison. For the second dataset, the MICCAI 2012 challenge dataset, the authors' proposed method yields a Dice Ratio of 87.4%, which also achieves better segmentation accuracy than other methods under comparison. Conclusions: A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable model and dictionary learning methods, which achieves more accurate segmentation performance on prostate T2 MR images.

  9. A microfluidic device for 2D to 3D and 3D to 3D cell navigation

    International Nuclear Information System (INIS)

    Shamloo, Amir; Amirifar, Leyla

    2016-01-01

    Microfluidic devices have received wide attention and shown great potential in the field of tissue engineering and regenerative medicine. Investigating cell response to various stimulations is much more accurate and comprehensive with the aid of microfluidic devices. In this study, we introduced a microfluidic device by which the matrix density as a mechanical property and the concentration profile of a biochemical factor as a chemical property could be altered. Our microfluidic device has a cell tank and a cell culture chamber to mimic both 2D to 3D and 3D to 3D migration of three types of cells. Fluid shear stress is negligible on the cells and a stable concentration gradient can be obtained by diffusion. The device was designed by a numerical simulation so that the uniformity of the concentration gradients throughout the cell culture chamber was obtained. Adult neural cells were cultured within this device and they showed different branching and axonal navigation phenotypes within varying nerve growth factor (NGF) concentration profiles. Neural stem cells were also cultured within varying collagen matrix densities while exposed to NGF concentrations and they experienced 3D to 3D collective migration. By generating vascular endothelial growth factor concentration gradients, adult human dermal microvascular endothelial cells also migrated in a 2D to 3D manner and formed a stable lumen within a specific collagen matrix density. It was observed that a minimum absolute concentration and concentration gradient were required to stimulate migration of all types of the cells. This device has the advantage of changing multiple parameters simultaneously and is expected to have wide applicability in cell studies. (paper)

  10. A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

    NARCIS (Netherlands)

    Johnson, Corinne; Price, Gareth; Khalifa, Jonathan; Faivre-Finn, Corinne; Dekker, Andre; Moore, Christopher; van Herk, Marcel

    2017-01-01

    The gross tumour volume (GTV) is predictive of clinical outcome and consequently features in many machine-learned models. 4D-planning, however, has prompted substitution of the GTV with the internal gross target volume (iGTV). We present and validate a method to synthesise GTV data from the iGTV,

  11. Enhancing Nuclear Training with 3D Visualization

    International Nuclear Information System (INIS)

    Gagnon, V.; Gagnon, B.

    2016-01-01

    Full text: While the nuclear power industry is trying to reinforce its safety and regain public support post-Fukushima, it is also faced with a very real challenge that affects its day-to-day activities: a rapidly aging workforce. Statistics show that close to 40% of the current nuclear power industry workforce will retire within the next five years. For newcomer countries, the challenge is even greater, having to develop a completely new workforce. The workforce replacement effort introduces nuclear newcomers of a new generation with different backgrounds and affinities. Major lifestyle differences between the two generations of workers result, amongst other things, in different learning habits and needs for this new breed of learners. Interactivity, high visual content and quick access to information are now necessary to achieve a high level of retention. To enhance existing training programmes or to support the establishment of new training programmes for newcomer countries, L-3 MAPPS has devised learning tools to enhance these training programmes focused on the “Practice-by-Doing” principle. L-3 MAPPS has coupled 3D computer visualization with high-fidelity simulation to bring real-time, simulation-driven animated components and systems allowing immersive and participatory, individual or classroom learning. (author

  12. Educational Material for 3D Visualization of Spine Procedures: Methods for Creation and Dissemination.

    Science.gov (United States)

    Cramer, Justin; Quigley, Edward; Hutchins, Troy; Shah, Lubdha

    2017-06-01

    Spine anatomy can be difficult to master and is essential for performing spine procedures. We sought to utilize the rapidly expanding field of 3D technology to create freely available, interactive educational materials for spine procedures. Our secondary goal was to convey lessons learned about 3D modeling and printing. This project involved two parallel processes: the creation of 3D-printed physical models and interactive digital models. We segmented illustrative CT studies of the lumbar and cervical spine to create 3D models and then printed them using a consumer 3D printer and a professional 3D printing service. We also included downloadable versions of the models in an interactive eBook and platform-independent web viewer. We then provided these educational materials to residents with a pretest and posttest to assess efficacy. The "Spine Procedures in 3D" eBook has been downloaded 71 times as of October 5, 2016. All models used in the book are available for download and printing. Regarding test results, the mean exam score improved from 70 to 86%, with the most dramatic improvement seen in the least experienced trainees. Participants reported increased confidence in performing lumbar punctures after exposure to the material. We demonstrate the value of 3D models, both digital and printed, in learning spine procedures. Moreover, 3D printing and modeling is a rapidly expanding field with a large potential role for radiologists. We have detailed our process for creating and sharing 3D educational materials in the hopes of motivating and enabling similar projects.

  13. Plasma and milk concentrations of vitamin D3 and 25-hydroxy vitamin D3 following intravenous injection of vitamin D3 or 25-hydroxy vitamin D3.

    OpenAIRE

    Hidiroglou, M; Knipfel, J E

    1984-01-01

    Plasma levels of vitamin D3 or 25-hydroxyvitamin D3 in ewes after administration of a single massive intravenous dose of vitamin D3 (2 X 10(6) IU) or 25-hydroxy vitamin D3 (5 mg) were determined at zero, one, two, three, five, ten and 20 days postinjection. In six ewes injected with vitamin D3 conversion of vitamin D3 to 25-hydroxy vitamin D3 resulted in a six-fold increase in the plasma 25-hydroxy vitamin D3 level within one day. Elevated levels were maintained until day 10 but by day 20 a s...

  14. Corporate Language and Implications for Organizational Learning

    DEFF Research Database (Denmark)

    Zølner, Mette

    2013-01-01

    is insufficient to leverage contextually specific and culturally embedded knowledge. This indicates the need for disentangling language and culture. The paper further argues for the need to go beyond national language to consider how prevailing kinds of corporate talk may curb headquarters potential for learning...... from cultural and contextual diversity....

  15. Volumetric 3D Display System with Static Screen

    Science.gov (United States)

    Geng, Jason

    2011-01-01

    Current display technology has relied on flat, 2D screens that cannot truly convey the third dimension of visual information: depth. In contrast to conventional visualization that is primarily based on 2D flat screens, the volumetric 3D display possesses a true 3D display volume, and places physically each 3D voxel in displayed 3D images at the true 3D (x,y,z) spatial position. Each voxel, analogous to a pixel in a 2D image, emits light from that position to form a real 3D image in the eyes of the viewers. Such true volumetric 3D display technology provides both physiological (accommodation, convergence, binocular disparity, and motion parallax) and psychological (image size, linear perspective, shading, brightness, etc.) depth cues to human visual systems to help in the perception of 3D objects. In a volumetric 3D display, viewers can watch the displayed 3D images from a completely 360 view without using any special eyewear. The volumetric 3D display techniques may lead to a quantum leap in information display technology and can dramatically change the ways humans interact with computers, which can lead to significant improvements in the efficiency of learning and knowledge management processes. Within a block of glass, a large amount of tiny dots of voxels are created by using a recently available machining technique called laser subsurface engraving (LSE). The LSE is able to produce tiny physical crack points (as small as 0.05 mm in diameter) at any (x,y,z) location within the cube of transparent material. The crack dots, when illuminated by a light source, scatter the light around and form visible voxels within the 3D volume. The locations of these tiny voxels are strategically determined such that each can be illuminated by a light ray from a high-resolution digital mirror device (DMD) light engine. The distribution of these voxels occupies the full display volume within the static 3D glass screen. This design eliminates any moving screen seen in previous

  16. Applying Hand-Held 3D Printing Technology to the Teaching of VSEPR Theory

    Science.gov (United States)

    Dean, Natalie L.; Ewan, Corrina; McIndoe, J. Scott

    2016-01-01

    The use of hand-held 3D printing technology provides a unique and engaging approach to learning VSEPR theory by enabling students to draw three-dimensional depictions of different molecular geometries, giving them an appreciation of the shapes of the building blocks of complex molecular structures. Students are provided with 3D printing pens and…

  17. The impact of active versus passive use of 3D technology: a study of dental students at Wuhan University, China.

    Science.gov (United States)

    Qi, Shengcai; Yan, Yanhong; Li, Rong; Hu, Jian

    2013-11-01

    A variety of computer-based 3D applications are becoming regular tools for dental students for self-learning. This study investigated the learning effectiveness of junior dental students in passively versus actively controlling the 3D virtual scenes of implant dentistry. Participants were randomized into three groups and were exposed to three designs of educational materials: traditional 2D webpages (2D); active-controlling 3D webpages (A3); and passive-controlling 3D webpages (P3). After reviewing the webpages, the participants were asked to complete a posttest to assess the relative quality of information acquisition. Their responses were compared and analyzed. The results indicated that the P3 group received the highest score of 26.4±3.1 on the post-test, significantly better than the A3 group, which had the worst performance with a score of 20.3±4.0. The 2D group received a score of 24.2±4.6. There was a significant correlation between the scores on a mental rotations test and the subjects' performance on the posttest (p<0.001). A serious disadvantage of active control was indicated for individuals with low spatial ability. In 3D virtual reality assisted self-learning, passive control produces higher learning effects compared to active control. Too much active control may generate significantly negative impacts on students, especially for individuals with low spatial ability.

  18. Effects of Type of Exploratory Strategy and Prior Knowledge on Middle School Students' Learning of Chemical Formulas from a 3D Role-Playing Game

    Science.gov (United States)

    Chen, Ming-Puu; Wong, Yu-Ting; Wang, Li-Chun

    2014-01-01

    The purpose of this study was to examine the effects of the type of exploratory strategy and level of prior knowledge on middle school students' performance and motivation in learning chemical formulas via a 3D role-playing game (RPG). Two types of exploratory strategies-RPG exploratory with worked-example and RPG exploratory without…

  19. 3-D Whole-Core Transport Calculation with 3D/2D Rotational Plane Slicing Method

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Han Jong; Cho, Nam Zin [Korea Advanced Institute of Science and Technology, Daejeon (Korea, Republic of)

    2014-10-15

    Use of the method of characteristics (MOC) is very popular due to its capability of heterogeneous geometry treatment and widely used for 2-D core calculation, but direct extension of MOC to 3-D core is not so attractive due to huge calculational cost. 2-D/1-D fusion method was very successful for 3-D calculation of current generation reactor types (highly heterogeneous in radial direction but piece-wise homogeneous in axial direction). In this paper, 2-D MOC concept is extended to 3-D core calculation with little modification of an existing 2-D MOC code. The key idea is to suppose 3-D geometry as a set of many 2-D planes like a phone-directory book. Dividing 3-D structure into a large number of 2-D planes and solving each plane with a simple 2-D SN transport method would give the solution of a 3-D structure. This method was developed independently at KAIST but it is found that this concept is similar with that of 'plane tracing' in the MCCG-3D code. The method developed was tested on the 3-D C5G7 OECD/NEA benchmark problem and compared with the 2-D/1-D fusion method. Results show that the proposed method is worth investigating further. A new approach to 3-D whole-core transport calculation is described and tested. By slicing 3-D structure along characteristic planes and solving each 2-D plane problem, we can get 3-D solution. The numerical test results indicate that the new method is comparable with the 2D/1D fusion method and outperforms other existing methods. But more fair comparison should be done in similar discretization level.

  20. PROTECTIVE EFFECT OF TETRAMETHYLPYRAZINE ON LEARNING AND MEMORY FUNCTION IN D-GALACTOSE-LESIONED MICE

    Institute of Scientific and Technical Information of China (English)

    Chun Zhang; Shi-zhen Wang; Ping-ping Zuo; Xu Cui; Jiong Cai

    2004-01-01

    Objective To explore the protective effect of tetramethylpyrazine (TMP) on the learning and memory function in D-galactose (D-gal)-lesioned mice.zine A were respectively given by intragastric administration in different groups from the third week. Learning and memory ability was tested with Morris water maze for 5 days at the sixth week. After completion of behavioral test, the mice were sacrificed by decapitation. The brain was rapidly removed, and the cortex and hippocampus were separated. The superoxide dismutase (SOD) activity and malondialdehyde (MDA) content in the cortex were determined. At the same time, the activity of choline acetyltransferase (ChAT) and acetylcholinesterase (AChE), the binding sites (Bmax) and the affinity (KD) of M-cholinergic receptor in the cortex, and Bmax and KD of N-methyl-D-aspartate (NMDA) receptor in the hippocampus were determined.Results In this model group, (1) The deficit of learning and memory ability, (2) elevated MDA content and lowered SOD activity, (3) decreased AChE activity and M-cholinergic receptor binding sites in the cortex, and (4) lowered NMDA receptor binding sites were observed in the hippocampus, as compared with the normal control. TMP could markedly (1)attenuate cognitive dysfunction, (2) lower MDA content and elevate SOD activity, (3) increase the activity of ChAT and AChE, and M-cholinergic receptor binding sites in the cortex in the mice treated with D-gal. NMDA receptor binding sites were also increased in the hippocampus in the treated mice.Conclusion TMP can significantly strengthen antioxidative function, improve central cholinergic system function, protect NMDA receptor activity, and thus enhance the learning and memory ability in D-gal-lesioned mice.

  1. 10 CFR 719.42 - What types of field actions must be coordinated with Headquarters?

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false What types of field actions must be coordinated with Headquarters? 719.42 Section 719.42 Energy DEPARTMENT OF ENERGY CONTRACTOR LEGAL MANAGEMENT REQUIREMENTS... adverse decisions, where legal issues of first impression, sensitive issues, issues of significance to the...

  2. From 2D to 3D turbulence through 2D3C configurations

    Science.gov (United States)

    Buzzicotti, Michele; Biferale, Luca; Linkmann, Moritz

    2017-11-01

    We study analytically and numerically the geometry of the nonlinear interactions and the resulting energy transfer directions of 2D3C flows. Through a set of suitably designed Direct Numerical Simulations we also study the coupling between several 2D3C flows, where we explore the transition between 2D and fully 3D turbulence. In particular, we find that the coupling of three 2D3C flows on mutually orthogonal planes subject to small-scale forcing leads to a stationary 3D out-of-equilibrium dynamics at the energy containing scales where the inverse cascade is directly balanced by a forward cascade carried by a different subsets of interactions. ERC AdG Grant No 339032 NewTURB.

  3. 3D Space Shift from CityGML LoD3-Based Multiple Building Elements to a 3D Volumetric Object

    Directory of Open Access Journals (Sweden)

    Shen Ying

    2017-01-01

    Full Text Available In contrast with photorealistic visualizations, urban landscape applications, and building information system (BIM, 3D volumetric presentations highlight specific calculations and applications of 3D building elements for 3D city planning and 3D cadastres. Knowing the precise volumetric quantities and the 3D boundary locations of 3D building spaces is a vital index which must remain constant during data processing because the values are related to space occupation, tenure, taxes, and valuation. To meet these requirements, this paper presents a five-step algorithm for performing a 3D building space shift. This algorithm is used to convert multiple building elements into a single 3D volumetric building object while maintaining the precise volume of the 3D space and without changing the 3D locations or displacing the building boundaries. As examples, this study used input data and building elements based on City Geography Markup Language (CityGML LoD3 models. This paper presents a method for 3D urban space and 3D property management with the goal of constructing a 3D volumetric object for an integral building using CityGML objects, by fusing the geometries of various building elements. The resulting objects possess true 3D geometry that can be represented by solid geometry and saved to a CityGML file for effective use in 3D urban planning and 3D cadastres.

  4. Exploring the educational potential of 3D virtual environments

    Directory of Open Access Journals (Sweden)

    Francesc Marc ESTEVE MON

    2013-12-01

    Full Text Available 3D virtual environments are advanced technology systems, with some potentialities in the teaching and learning process.In recent years, different institutions have promoted the acquisition of XXI century skills. Competences such as initiative, teamwork, creativity, flexibility or digital literacy.Multi-user virtual environments, sometimes called virtual worlds or 3D simulators, are immersive, interactive, customizable, accessible and programmable systems. This kind of environments allow to design educational complex activities to develop these key competences. For this purpose it’s necessary to set an appropriate teaching strategy to put this knowledge and skills into action, and design suitable mechanisms for registration and systematization. This paper analyzes the potential of these environments and presents two experiences in 3D virtual environments: (1 to develop teamwork and self-management skills, and (2 to assess digital literacy in preservice teachers.

  5. Understanding 3D human torso shape via manifold clustering

    Science.gov (United States)

    Li, Sheng; Li, Peng; Fu, Yun

    2013-05-01

    Discovering the variations in human torso shape plays a key role in many design-oriented applications, such as suit designing. With recent advances in 3D surface imaging technologies, people can obtain 3D human torso data that provide more information than traditional measurements. However, how to find different human shapes from 3D torso data is still an open problem. In this paper, we propose to use spectral clustering approach on torso manifold to address this problem. We first represent high-dimensional torso data in a low-dimensional space using manifold learning algorithm. Then the spectral clustering method is performed to get several disjoint clusters. Experimental results show that the clusters discovered by our approach can describe the discrepancies in both genders and human shapes, and our approach achieves better performance than the compared clustering method.

  6. Automatic Depth Extraction from 2D Images Using a Cluster-Based Learning Framework.

    Science.gov (United States)

    Herrera, Jose L; Del-Blanco, Carlos R; Garcia, Narciso

    2018-07-01

    There has been a significant increase in the availability of 3D players and displays in the last years. Nonetheless, the amount of 3D content has not experimented an increment of such magnitude. To alleviate this problem, many algorithms for converting images and videos from 2D to 3D have been proposed. Here, we present an automatic learning-based 2D-3D image conversion approach, based on the key hypothesis that color images with similar structure likely present a similar depth structure. The presented algorithm estimates the depth of a color query image using the prior knowledge provided by a repository of color + depth images. The algorithm clusters this database attending to their structural similarity, and then creates a representative of each color-depth image cluster that will be used as prior depth map. The selection of the appropriate prior depth map corresponding to one given color query image is accomplished by comparing the structural similarity in the color domain between the query image and the database. The comparison is based on a K-Nearest Neighbor framework that uses a learning procedure to build an adaptive combination of image feature descriptors. The best correspondences determine the cluster, and in turn the associated prior depth map. Finally, this prior estimation is enhanced through a segmentation-guided filtering that obtains the final depth map estimation. This approach has been tested using two publicly available databases, and compared with several state-of-the-art algorithms in order to prove its efficiency.

  7. Effect of 24,25-dihydroxyvitamin D3 on 1,25-dihydroxyvitamin D3 [1,25-(OH)2D3] metabolism in vitamin D-deficient rats infused with 1,25-(OH)2D3

    International Nuclear Information System (INIS)

    Yamato, H.; Matsumoto, T.; Fukumoto, S.; Ikeda, K.; Ishizuka, S.; Ogata, E.

    1989-01-01

    Previous studies revealed that administration of 24,25-dihydroxyvitamin D3 [24,25-(OH)2D3] to calcium (Ca)-deficient rats causes a dose-dependent reduction in markedly elevated serum 1,25-(OH)2D3 level. Although the results suggested that the metabolism of 1,25-(OH)2D3 was accelerated by 24,25-(OH)2D3, those experiments could not define whether the enhanced metabolism of 1,25-(OH)2D3 played a role in the reduction in the serum 1,25-(OH)2D3 level. In the present study, in order to address this issue more specifically, serum 1,25-(OH)2D3 was maintained solely by exogenous administration through miniosmotic pumps of 1,25-(OH)2D3 into vitamin D-deficient rats. Thus, by measuring the serum 1,25-(OH)2D3 concentration, the effect of 24,25-(OH)2D3 on the MCR of 1,25-(OH)2D3 could be examined. Administration of 24,25-(OH)2D3 caused a dose-dependent enhancement in the MCR of 1,25-(OH)2D3, and 1 microgram/100 g rat.day 24,25-(OH)2D3, which elevated serum 24,25-(OH)2D3 to 8.6 +/- 1.3 ng/ml, significantly increased MCR and suppressed serum levels of 1,25-(OH)2D3. The effect of 24,25-(OH)2D3 on 1,25-(OH)2D3 metabolism developed with a rapid time course, and the recovery of iv injected [1 beta-3H]1,25-(OH)2D3 in blood was significantly reduced within 1 h. In addition, there was an increase in radioactivity in the water-soluble fraction of serum as well as in urine, suggesting that 1,25-(OH)2D3 is rapidly degraded to a water-soluble metabolite(s). Furthermore, the reduction in serum 1,25-(OH)2D3 was associated with a reduction in both serum and urinary Ca levels. Because the conversion of [3H]24,25-(OH)2D3 to [3H]1,24,25-(OH)2D3 or other metabolites was minimal in these rats, 24,25-(OH)2D3 appears to act without being converted into other metabolites. These results demonstrate that 24,25-(OH)2D3 rapidly stimulates the metabolism of 1,25-(OH)2D3 and reduces its serum level

  8. FROM2D to 3d Supervised Segmentation and Classification for Cultural Heritage Applications

    Science.gov (United States)

    Grilli, E.; Dininno, D.; Petrucci, G.; Remondino, F.

    2018-05-01

    The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop appropriate restoration or conservation strategies. Currently, there is extensive research focused on automatic procedures of segmentation and classification of 3D point clouds or meshes, which can accelerate the study of a monument and integrate it with heterogeneous information and attributes, useful to characterize and describe the surveyed object. The aim of this study is to propose an optimal, repeatable and reliable procedure to manage various types of 3D surveying data and associate them with heterogeneous information and attributes to characterize and describe the surveyed object. In particular, this paper presents an approach for classifying 3D heritage models, starting from the segmentation of their textures based on supervised machine learning methods. Experimental results run on three different case studies demonstrate that the proposed approach is effective and with many further potentials.

  9. MO-B-BRD-03: Principles, Pitfalls and Techniques of 3D Printing for Bolus and Compensators

    International Nuclear Information System (INIS)

    Baker, J.

    2015-01-01

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  10. MO-B-BRD-03: Principles, Pitfalls and Techniques of 3D Printing for Bolus and Compensators

    Energy Technology Data Exchange (ETDEWEB)

    Baker, J. [Stony Brook University Medical Center (United States)

    2015-06-15

    This session is designed so that the learning objectives are practical. The intent is that the attendee may take home an understanding of not just the technology, but also the logistical steps necessary to execute these 3D printing techniques in the clinic. Four practical 3D printing topics will be discussed: (i) Creating bolus and compensators for photon machines; (ii) tools for proton therapy; (iii) clinical applications in imaging; (iv) custom phantom design for clinic and research use. The use of 3D printers within the radiation oncology setting is proving to be a useful tool for creating patient specific bolus and compensators with the added benefit of cost savings. Creating the proper protocol is essential to ensuring that the desired effect is achieved and modeled in the treatment planning system. The critical choice of printer material (since it determines the interaction with the radiation) will be discussed. Selection of 3D printer type, design methods, verification of dose calculation, and the printing process will be detailed to give the basis for establishing your own protocol for electron and photon fields. A practical discussion of likely obstacles that may be encountered will be included. The diversity of systems and techniques in proton facilities leads to different facilities having very different requirements for beam modifying hardware and quality assurance devices. Many departments find the need to design and fabricate facility-specific equipment, making 3D printing an attractive technology. 3D printer applications in proton therapy will be discussed, including beam filters and compensators, and the design of proton therapy specific quality assurance tools. Quality control specific to 3D printing in proton therapy will be addressed. Advantages and disadvantages of different printing technology for these applications will also be discussed. 3D printing applications using high-resolution radiology-based imaging data will be presented. This data

  11. 3D vs 2D laparoscopic systems: Development of a performance quantitative validation model.

    Science.gov (United States)

    Ghedi, Andrea; Donarini, Erica; Lamera, Roberta; Sgroi, Giovanni; Turati, Luca; Ercole, Cesare

    2015-01-01

    The new technology ensures 3D laparoscopic vision by adding depth to the traditional two dimensions. This realistic vision gives the surgeon the feeling of operating in real space. Hospital of Treviglio-Caravaggio isn't an university or scientific institution; in 2014 a new 3D laparoscopic technology was acquired therefore it led to evaluation of the of the appropriateness in term of patient outcome and safety. The project aims at achieving the development of a quantitative validation model that would ensure low cost and a reliable measure of the performance of 3D technology versus 2D mode. In addition, it aims at demonstrating how new technologies, such as open source hardware and software and 3D printing, could help research with no significant cost increase. For these reasons, in order to define criteria of appropriateness in the use of 3D technologies, it was decided to perform a study to technically validate the use of the best technology in terms of effectiveness, efficiency and safety in the use of a system between laparoscopic vision in 3D and the traditional 2D. 30 surgeons were enrolled in order to perform an exercise through the use of laparoscopic forceps inside a trainer. The exercise consisted of having surgeons with different level of seniority, grouped by type of specialization (eg. surgery, urology, gynecology), exercising videolaparoscopy with two technologies (2D and 3D) through the use of a anthropometric phantom. The target assigned to the surgeon was that to pass "needle and thread" without touching the metal part in the shortest time possible. The rings selected for the exercise had each a coefficient of difficulty determined by depth, diameter, angle from the positioning and from the point of view. The analysis of the data collected from the above exercise has mathematically confirmed that the 3D technique ensures a learning curve lower in novice and greater accuracy in the performance of the task with respect to 2D.

  12. RAG-3D: a search tool for RNA 3D substructures

    Science.gov (United States)

    Zahran, Mai; Sevim Bayrak, Cigdem; Elmetwaly, Shereef; Schlick, Tamar

    2015-01-01

    To address many challenges in RNA structure/function prediction, the characterization of RNA's modular architectural units is required. Using the RNA-As-Graphs (RAG) database, we have previously explored the existence of secondary structure (2D) submotifs within larger RNA structures. Here we present RAG-3D—a dataset of RNA tertiary (3D) structures and substructures plus a web-based search tool—designed to exploit graph representations of RNAs for the goal of searching for similar 3D structural fragments. The objects in RAG-3D consist of 3D structures translated into 3D graphs, cataloged based on the connectivity between their secondary structure elements. Each graph is additionally described in terms of its subgraph building blocks. The RAG-3D search tool then compares a query RNA 3D structure to those in the database to obtain structurally similar structures and substructures. This comparison reveals conserved 3D RNA features and thus may suggest functional connections. Though RNA search programs based on similarity in sequence, 2D, and/or 3D structural elements are available, our graph-based search tool may be advantageous for illuminating similarities that are not obvious; using motifs rather than sequence space also reduces search times considerably. Ultimately, such substructuring could be useful for RNA 3D structure prediction, structure/function inference and inverse folding. PMID:26304547

  13. Narratives from the Agora 3D world

    DEFF Research Database (Denmark)

    Olsen, Sanne Fejfer; Siggaard Jensen, Sisse; Bolander, Klara

    2004-01-01

    is on presence and knowledge sharing in interaction with avatars communicating in chat while building a 3D Agora AWEDU world (www.activeworlds.com). The narratives and reflections on knowledge sharing are all produced in explorative sessions carried out in a special interest group (SIG 5) on ?Knowledge sharing...... across knowledge cultures? in the EU project EQUEL on quality in e-learning. The understanding of social interaction and knowledge sharing in the Agora 3D world is based on explorative and experiential approaches and sessions. Joint explorations have been carried out to facilitate the sharing...... of experience among participants in the Agora world SIG. The idea with these sessions has been to build a community of shared knowledge based on practicing, acting and interacting with avatars. The underlying assumption being that first hand experience with collaboration and knowledge sharing are essential...

  14. Determination of the 3d34d and 3d35s configurations of Fe V

    International Nuclear Information System (INIS)

    Azarov, V.I.

    2001-01-01

    The analysis of the spectrum of four times ionized iron, Fe V, has led to the determination of the 3d 3 4d and 3d 3 5s configurations. From 975 classified lines in the region 645-1190 A we have established 123 of 168 theoretically possible 3d 3 4d levels and 26 of 38 possible 3d 3 5s levels. The estimated accuracy of values of energy levels of these two configurations is about 0.7 cm -1 and 1.0 cm -1 , respectively. The level structure of the system of the 3d 4 , 3d 3 4s, 3d 3 4d and 3d 3 5s configurations has been theoretically interpreted and the energy parameters have been determined by a least squares fit to the observed levels. A comparison of parameters in Cr III and Fe V ions is given. (orig.)

  15. Comprehending 3D Diagrams: Sketching to Support Spatial Reasoning.

    Science.gov (United States)

    Gagnier, Kristin M; Atit, Kinnari; Ormand, Carol J; Shipley, Thomas F

    2017-10-01

    Science, technology, engineering, and mathematics (STEM) disciplines commonly illustrate 3D relationships in diagrams, yet these are often challenging for students. Failing to understand diagrams can hinder success in STEM because scientific practice requires understanding and creating diagrammatic representations. We explore a new approach to improving student understanding of diagrams that convey 3D relations that is based on students generating their own predictive diagrams. Participants' comprehension of 3D spatial diagrams was measured in a pre- and post-design where students selected the correct 2D slice through 3D geologic block diagrams. Generating sketches that predicated the internal structure of a model led to greater improvement in diagram understanding than visualizing the interior of the model without sketching, or sketching the model without attempting to predict unseen spatial relations. In addition, we found a positive correlation between sketched diagram accuracy and improvement on the diagram comprehension measure. Results suggest that generating a predictive diagram facilitates students' abilities to make inferences about spatial relationships in diagrams. Implications for use of sketching in supporting STEM learning are discussed. Copyright © 2016 Cognitive Science Society, Inc.

  16. Dopamine D3 receptors regulate reconsolidation of cocaine memory.

    Science.gov (United States)

    Yan, Y; Kong, H; Wu, E J; Newman, A H; Xu, M

    2013-06-25

    Memories of learned associations between the rewarding properties of drugs of abuse and environmental cues contribute to craving and relapse in humans. Disruption of reconsolidation dampens or even erases previous memories. Dopamine (DA) mediates the acquisition of reward memory and drugs of abuse can pathologically change related neuronal circuits in the mesolimbic DA system. Previous studies showed that DA D3 receptors are involved in cocaine-conditioned place preference (CPP) and reinstatement of cocaine-seeking behavior. However, the role of D3 receptors in reconsolidation of cocaine-induced reward memory remains unclear. In the present study, we combined genetic and pharmacological approaches to investigate the role of D3 receptors in reconsolidation of cocaine-induced CPP. We found that the mutation of the D3 receptor gene weakened reconsolidation of cocaine-induced CPP in mice triggered by a 3-min (min) retrieval. Furthermore, treatment of a selective D3 receptor antagonist PG01037 immediately following the 3-min retrieval disrupted reconsolidation of cocaine-induced CPP in wild-type mice and such disruption remained at least 1 week after the 3-min retrieval. These results suggest that D3 receptors play a key role in reconsolidation of cocaine-induced CPP in mice, and that pharmacological blockade of these receptors may be therapeutic for the treatment of cocaine craving and relapse in clinical settings. Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

  17. Proposal of a novel ensemble learning based segmentation with a shape prior and its application to spleen segmentation from a 3D abdominal CT volume

    International Nuclear Information System (INIS)

    Shindo, Kiyo; Shimizu, Akinobu; Kobatake, Hidefumi; Nawano, Shigeru; Shinozaki, Kenji

    2010-01-01

    An organ segmentation learned by a conventional ensemble learning algorithm suffers from unnatural errors because each voxel is classified independently in the segmentation process. This paper proposes a novel ensemble learning algorithm that can take into account global shape and location of organs. It estimates the shape and location of an organ from a given image by combining an intermediate segmentation result with a statistical shape model. Once an ensemble learning algorithm could not improve the segmentation performance in the iterative learning process, it estimates the shape and location by finding an optimal model parameter set with maximum degree of correspondence between a statistical shape model and the intermediate segmentation result. Novel weak classifiers are generated based on a signed distance from a boundary of the estimated shape and a distance from a barycenter of the intermediate segmentation result. Subsequently it continues the learning process with the novel weak classifiers. This paper presents experimental results where the proposed ensemble learning algorithm generates a segmentation process that can extract a spleen from a 3D CT image more precisely than a conventional one. (author)

  18. Strike Operations: Contingency Operations with Light-Heavy-Special Operations Forces.

    Science.gov (United States)

    1991-06-07

    limited." , Requires tim to di.mt and mount. S CS ad CSS pvd• fro higherh q r . 3--63 d- fradley FiO*itir vehicle (BMV Caracteristics : (See FIGTURE 3-2...High Explosive Plastic HET Heavy Equipment Transporter HHC Headquarters,and Headquarters Copany HHSB Headquarters, Headquarters and Service Battery HIC

  19. Probabilistic reasoning for assembly-based 3D modeling

    KAUST Repository

    Chaudhuri, Siddhartha

    2011-01-01

    Assembly-based modeling is a promising approach to broadening the accessibility of 3D modeling. In assembly-based modeling, new models are assembled from shape components extracted from a database. A key challenge in assembly-based modeling is the identification of relevant components to be presented to the user. In this paper, we introduce a probabilistic reasoning approach to this problem. Given a repository of shapes, our approach learns a probabilistic graphical model that encodes semantic and geometric relationships among shape components. The probabilistic model is used to present components that are semantically and stylistically compatible with the 3D model that is being assembled. Our experiments indicate that the probabilistic model increases the relevance of presented components. © 2011 ACM.

  20. TU-F-BRF-06: 3D Pancreas MRI Segmentation Using Dictionary Learning and Manifold Clustering

    International Nuclear Information System (INIS)

    Gou, S; Rapacchi, S; Hu, P; Sheng, K

    2014-01-01

    Purpose: The recent advent of MRI guided radiotherapy machines has lent an exciting platform for soft tissue target localization during treatment. However, tools to efficiently utilize MRI images for such purpose have not been developed. Specifically, to efficiently quantify the organ motion, we develop an automated segmentation method using dictionary learning and manifold clustering (DLMC). Methods: Fast 3D HASTE and VIBE MR images of 2 healthy volunteers and 3 patients were acquired. A bounding box was defined to include pancreas and surrounding normal organs including the liver, duodenum and stomach. The first slice of the MRI was used for dictionary learning based on mean-shift clustering and K-SVD sparse representation. Subsequent images were iteratively reconstructed until the error is less than a preset threshold. The preliminarily segmentation was subject to the constraints of manifold clustering. The segmentation results were compared with the mean shift merging (MSM), level set (LS) and manual segmentation methods. Results: DLMC resulted in consistently higher accuracy and robustness than comparing methods. Using manual contours as the ground truth, the mean Dices indices for all subjects are 0.54, 0.56 and 0.67 for MSM, LS and DLMC, respectively based on the HASTE image. The mean Dices indices are 0.70, 0.77 and 0.79 for the three methods based on VIBE images. DLMC is clearly more robust on the patients with the diseased pancreas while LS and MSM tend to over-segment the pancreas. DLMC also achieved higher sensitivity (0.80) and specificity (0.99) combining both imaging techniques. LS achieved equivalent sensitivity on VIBE images but was more computationally inefficient. Conclusion: We showed that pancreas and surrounding normal organs can be reliably segmented based on fast MRI using DLMC. This method will facilitate both planning volume definition and imaging guidance during treatment

  1. TU-F-BRF-06: 3D Pancreas MRI Segmentation Using Dictionary Learning and Manifold Clustering

    Energy Technology Data Exchange (ETDEWEB)

    Gou, S; Rapacchi, S; Hu, P; Sheng, K [UCLA School of Medicine, Los Angeles, CA (United States)

    2014-06-15

    Purpose: The recent advent of MRI guided radiotherapy machines has lent an exciting platform for soft tissue target localization during treatment. However, tools to efficiently utilize MRI images for such purpose have not been developed. Specifically, to efficiently quantify the organ motion, we develop an automated segmentation method using dictionary learning and manifold clustering (DLMC). Methods: Fast 3D HASTE and VIBE MR images of 2 healthy volunteers and 3 patients were acquired. A bounding box was defined to include pancreas and surrounding normal organs including the liver, duodenum and stomach. The first slice of the MRI was used for dictionary learning based on mean-shift clustering and K-SVD sparse representation. Subsequent images were iteratively reconstructed until the error is less than a preset threshold. The preliminarily segmentation was subject to the constraints of manifold clustering. The segmentation results were compared with the mean shift merging (MSM), level set (LS) and manual segmentation methods. Results: DLMC resulted in consistently higher accuracy and robustness than comparing methods. Using manual contours as the ground truth, the mean Dices indices for all subjects are 0.54, 0.56 and 0.67 for MSM, LS and DLMC, respectively based on the HASTE image. The mean Dices indices are 0.70, 0.77 and 0.79 for the three methods based on VIBE images. DLMC is clearly more robust on the patients with the diseased pancreas while LS and MSM tend to over-segment the pancreas. DLMC also achieved higher sensitivity (0.80) and specificity (0.99) combining both imaging techniques. LS achieved equivalent sensitivity on VIBE images but was more computationally inefficient. Conclusion: We showed that pancreas and surrounding normal organs can be reliably segmented based on fast MRI using DLMC. This method will facilitate both planning volume definition and imaging guidance during treatment.

  2. Axionic D3-D7 Inflation

    CERN Document Server

    Burgess, C P; Postma, M

    2009-01-01

    We study the motion of a D3 brane moving within a Type IIB string vacuum compactified to 4D on K3 x T_2/Z_2 in the presence of D7 and O7 planes. We work within the effective 4D supergravity describing how the mobile D3 interacts with the lightest bulk moduli of the compactification, including the effects of modulus-stabilizing fluxes. We seek inflationary solutions to the resulting equations, performing our search numerically in order to avoid resorting to approximate parameterizations of the low-energy potential. We consider uplifting from D-terms and from the supersymmetry-breaking effects of anti-D3 branes. We find examples of slow-roll inflation (with anti-brane uplifting) with the mobile D3 moving along the toroidal directions, falling towards a D7-O7 stack starting from the antipodal point. The inflaton turns out to be a linear combination of the brane position and the axionic partner of the K3 volume modulus, and the similarity of the potential along the inflaton direction with that of racetrack inflat...

  3. Collaborative Multi-Scale 3d City and Infrastructure Modeling and Simulation

    Science.gov (United States)

    Breunig, M.; Borrmann, A.; Rank, E.; Hinz, S.; Kolbe, T.; Schilcher, M.; Mundani, R.-P.; Jubierre, J. R.; Flurl, M.; Thomsen, A.; Donaubauer, A.; Ji, Y.; Urban, S.; Laun, S.; Vilgertshofer, S.; Willenborg, B.; Menninghaus, M.; Steuer, H.; Wursthorn, S.; Leitloff, J.; Al-Doori, M.; Mazroobsemnani, N.

    2017-09-01

    Computer-aided collaborative and multi-scale 3D planning are challenges for complex railway and subway track infrastructure projects in the built environment. Many legal, economic, environmental, and structural requirements have to be taken into account. The stringent use of 3D models in the different phases of the planning process facilitates communication and collaboration between the stake holders such as civil engineers, geological engineers, and decision makers. This paper presents concepts, developments, and experiences gained by an interdisciplinary research group coming from civil engineering informatics and geo-informatics banding together skills of both, the Building Information Modeling and the 3D GIS world. New approaches including the development of a collaborative platform and 3D multi-scale modelling are proposed for collaborative planning and simulation to improve the digital 3D planning of subway tracks and other infrastructures. Experiences during this research and lessons learned are presented as well as an outlook on future research focusing on Building Information Modeling and 3D GIS applications for cities of the future.

  4. COLLABORATIVE MULTI-SCALE 3D CITY AND INFRASTRUCTURE MODELING AND SIMULATION

    Directory of Open Access Journals (Sweden)

    M. Breunig

    2017-09-01

    Full Text Available Computer-aided collaborative and multi-scale 3D planning are challenges for complex railway and subway track infrastructure projects in the built environment. Many legal, economic, environmental, and structural requirements have to be taken into account. The stringent use of 3D models in the different phases of the planning process facilitates communication and collaboration between the stake holders such as civil engineers, geological engineers, and decision makers. This paper presents concepts, developments, and experiences gained by an interdisciplinary research group coming from civil engineering informatics and geo-informatics banding together skills of both, the Building Information Modeling and the 3D GIS world. New approaches including the development of a collaborative platform and 3D multi-scale modelling are proposed for collaborative planning and simulation to improve the digital 3D planning of subway tracks and other infrastructures. Experiences during this research and lessons learned are presented as well as an outlook on future research focusing on Building Information Modeling and 3D GIS applications for cities of the future.

  5. The Impact of Headquarter and Subsidiary Locations on Multinationals' Effective Tax Rates

    OpenAIRE

    Kevin S. Markle; Douglas A. Shackelford

    2013-01-01

    We examine effective tax rates (ETRs) for 9,022 multinationals from 87 countries from 2006 to 2011. We find that, despite extensive investments in international tax avoidance, multinationals headquartered in Japan, the United States, and some high-tax European countries continue to face substantially higher worldwide taxes than their counterparts in havens and other less heavily taxed locations. Other findings include: (1) effective tax rates remained steady over the investigation period; (2)...

  6. 3D Volume Rendering and 3D Printing (Additive Manufacturing).

    Science.gov (United States)

    Katkar, Rujuta A; Taft, Robert M; Grant, Gerald T

    2018-07-01

    Three-dimensional (3D) volume-rendered images allow 3D insight into the anatomy, facilitating surgical treatment planning and teaching. 3D printing, additive manufacturing, and rapid prototyping techniques are being used with satisfactory accuracy, mostly for diagnosis and surgical planning, followed by direct manufacture of implantable devices. The major limitation is the time and money spent generating 3D objects. Printer type, material, and build thickness are known to influence the accuracy of printed models. In implant dentistry, the use of 3D-printed surgical guides is strongly recommended to facilitate planning and reduce risk of operative complications. Copyright © 2018 Elsevier Inc. All rights reserved.

  7. 3D object-oriented image analysis in 3D geophysical modelling

    DEFF Research Database (Denmark)

    Fadel, I.; van der Meijde, M.; Kerle, N.

    2015-01-01

    Non-uniqueness of satellite gravity interpretation has traditionally been reduced by using a priori information from seismic tomography models. This reduction in the non-uniqueness has been based on velocity-density conversion formulas or user interpretation of the 3D subsurface structures (objects......) based on the seismic tomography models and then forward modelling these objects. However, this form of object-based approach has been done without a standardized methodology on how to extract the subsurface structures from the 3D models. In this research, a 3D object-oriented image analysis (3D OOA......) approach was implemented to extract the 3D subsurface structures from geophysical data. The approach was applied on a 3D shear wave seismic tomography model of the central part of the East African Rift System. Subsequently, the extracted 3D objects from the tomography model were reconstructed in the 3D...

  8. Unseen and Unheard? Women Managers and Organizational Learning

    Science.gov (United States)

    Martin, Lynn M.; Lord, Gemma; Warren-Smith, Izzy

    2018-01-01

    Purpose: This paper aims to use (in)visibility as a lens to understand the lived experience of six women managers in the headquarters of a large multinational organization in the UK to identify how "gender" is expressed in the context of organizational learning. Design/methodology/approach: The researchers take a phenomenological…

  9. Interlopers 3D: experiences designing a stereoscopic game

    Science.gov (United States)

    Weaver, James; Holliman, Nicolas S.

    2014-03-01

    Background In recent years 3D-enabled televisions, VR headsets and computer displays have become more readily available in the home. This presents an opportunity for game designers to explore new stereoscopic game mechanics and techniques that have previously been unavailable in monocular gaming. Aims To investigate the visual cues that are present in binocular and monocular vision, identifying which are relevant when gaming using a stereoscopic display. To implement a game whose mechanics are so reliant on binocular cues that the game becomes impossible or at least very difficult to play in non-stereoscopic mode. Method A stereoscopic 3D game was developed whose objective was to shoot down advancing enemies (the Interlopers) before they reached their destination. Scoring highly required players to make accurate depth judgments and target the closest enemies first. A group of twenty participants played both a basic and advanced version of the game in both monoscopic 2D and stereoscopic 3D. Results The results show that in both the basic and advanced game participants achieved higher scores when playing in stereoscopic 3D. The advanced game showed that by disrupting the depth from motion cue the game became more difficult in monoscopic 2D. Results also show a certain amount of learning taking place over the course of the experiment, meaning that players were able to score higher and finish the game faster over the course of the experiment. Conclusions Although the game was not impossible to play in monoscopic 2D, participants results show that it put them at a significant disadvantage when compared to playing in stereoscopic 3D.

  10. Automated Finger Spelling by Highly Realistic 3D Animation

    Science.gov (United States)

    Adamo-Villani, Nicoletta; Beni, Gerardo

    2004-01-01

    We present the design of a new 3D animation tool for self-teaching (signing and reading) finger spelling the first basic component in learning any sign language. We have designed a highly realistic hand with natural animation of the finger motions. Smoothness of motion (in real time) is achieved via programmable blending of animation segments. The…

  11. Design & control of a 3D stroke rehabilitation platform.

    Science.gov (United States)

    Cai, Z; Tong, D; Meadmore, K L; Freeman, C T; Hughes, A M; Rogers, E; Burridge, J H

    2011-01-01

    An upper limb stroke rehabilitation system is developed which combines electrical stimulation with mechanical arm support, to assist patients performing 3D reaching tasks in a virtual reality environment. The Stimulation Assistance through Iterative Learning (SAIL) platform applies electrical stimulation to two muscles in the arm using model-based control schemes which learn from previous trials of the task. This results in accurate movement which maximises the therapeutic effect of treatment. The principal components of the system are described and experimental results confirm its efficacy for clinical use in upper limb stroke rehabilitation. © 2011 IEEE

  12. Discriminating between benign and malignant breast tumors using 3D convolutional neural network in dynamic contrast enhanced-MR images

    Science.gov (United States)

    Li, Jing; Fan, Ming; Zhang, Juan; Li, Lihua

    2017-03-01

    Convolutional neural networks (CNNs) are the state-of-the-art deep learning network architectures that can be used in a range of applications, including computer vision and medical image analysis. It exhibits a powerful representation learning mechanism with an automated design to learn features directly from the data. However, the common 2D CNNs only use the two dimension spatial information without evaluating the correlation between the adjoin slices. In this study, we established a method of 3D CNNs to discriminate between malignant and benign breast tumors. To this end, 143 patients were enrolled which include 66 benign and 77 malignant instances. The MRI images were pre-processed for noise reduction and breast tumor region segmentation. Data augmentation by spatial translating, rotating and vertical and horizontal flipping is applied to the cases to reduce possible over-fitting. A region-of-interest (ROI) and a volume-of-interest (VOI) were segmented in 2D and 3D DCE-MRI, respectively. The enhancement ratio for each MR series was calculated for the 2D and 3D images. The results for the enhancement ratio images in the two series are integrated for classification. The results of the area under the ROC curve(AUC) values are 0.739 and 0.801 for 2D and 3D methods, respectively. The results for 3D CNN which combined 5 slices for each enhancement ratio images achieved a high accuracy(Acc), sensitivity(Sens) and specificity(Spec) of 0.781, 0.744 and 0.823, respectively. This study indicates that 3D CNN deep learning methods can be a promising technology for breast tumor classification without manual feature extraction.

  13. You Can Touch This! Bringing HST images to life as 3-D models

    Science.gov (United States)

    Christian, Carol A.; Nota, A.; Grice, N. A.; Sabbi, E.; Shaheen, N.; Greenfield, P.; Hurst, A.; Kane, S.; Rao, R.; Dutterer, J.; de Mink, S. E.

    2014-01-01

    We present the very first results of an innovative process to transform Hubble images into tactile 3-D models of astronomical objects. We have created a very new, unique tool for understanding astronomical phenomena, especially designed to make astronomy accessible to visually impaired children and adults. From the multicolor images of stellar clusters, we construct 3-D computer models that are digitally sliced into layers, each featuring touchable patterning and Braille characters, and are printed on a 3-D printer. The slices are then fitted together, so that the user can explore the structure of the cluster environment with their fingertips, slice-by-slice, analogous to a visual fly-through. Students will be able to identify and spatially locate the different components of these complex astronomical objects, namely gas, dust and stars, and will learn about the formation and composition of stellar clusters. The primary audiences for the 3D models are middle school and high school blind students and, secondarily, blind adults. However, we believe that the final materials will address a broad range of individuals with varied and multi-sensory learning styles, and will be interesting and visually appealing to the public at large.

  14. Beyond the ENDF format: A modern nuclear database structure. SG38 meeting, NEA Headquarters, 20-22 May 2015

    International Nuclear Information System (INIS)

    Brown, David; Jouanne, Cedric; Malvagi, Fausto; Coste-Delclaux, Mireille; Hawari, Ayman I.; Mattoon, Caleb; Zerkin, Viktor; ); Cornock, Mark; Conlin, Jeremy; Lloydge, Zhigang; Oleynik, Dmitry S.; Cabellos, Oscar; Mills, Robert W.; Kim, Do Heon; Leal, Luiz Carlos; White, Morgan c.; Dunn, Michael; Kahler, Albert C. skip; Mcnabb, Dennis P.; Roubtsov, Danila; Cho, Young-Sik; Beck, Bret; Haeck, Wim

    2015-05-01

    WPEC subgroup 38 (SG38) was formed to develop a new structure for storing nuclear reaction data, that is meant to eventually replace ENDF-6 as the standard way to store and share evaluations. The work of SG38 covers the following tasks: Designing flexible, general-purpose data containers; Determining a logical and easy-to-understand top-level hierarchy for storing evaluated nuclear reaction data; Creating a particle database for storing particles, masses and level schemes; Specifying the infrastructure (plotting, processing, etc.) that must accompany the new structure; Developing an Application Programming Interface or API to allow other codes to access data stored in the new structure; Specifying what tests need to be implemented for quality assurance of the new structure and associated infrastructure; Ensuring documentation and governance of the structure and associated infrastructure. This document is the proceedings of the SG38 meeting which took place at the NEA Headquarters, on 20-22 May 2015. It comprises all the available presentations (slides) given by the participants: - 1) Recent updates to the top-level hierarchy, review draft requirements document (D. Brown); - 2) Properties of Particles (PoPs) database (C.M. Mattoon); - 3) Proposed General Purpose Data Containers (B. Beck); - 4) Feedback on GND Specifications (C. Jouanne); - 5) Using XML in the IAEA-NDS: status, feedback and proposals (V. Zerkin); - 6) Observations Related to Thermal Neutron Scattering Law Data (A.I. Hawari); - 7) Meeting Notes (D.P. Mcnabb)

  15. Integration of Multiple Cues for Robust 3D Object Description: A Computational and Psychophysical Study with Applications

    National Research Council Canada - National Science Library

    Farag, Aly

    2001-01-01

    ...., provides a 3D - to - 3D mapping. The research focuses on the representation and fusion of information form differing image sources and the use of machine learning techniques to perform the fusion...

  16. IMPLEMENTATION OF 3D TOOLS AND IMMERSIVE EXPERIENCE INTERACTION FOR SUPPORTING LEARNING IN A LIBRARY-ARCHIVE ENVIRONMENT. VISIONS AND CHALLENGES

    Directory of Open Access Journals (Sweden)

    A. Angeletaki

    2013-07-01

    Full Text Available In this paper we present an experimental environment of 3D books combined with a game application that has been developed by a collaboration project between the Norwegian University of Science and Technology in Trondheim, Norway the NTNU University Library, and the Percro laboratory of Santa Anna University in Pisa, Italy. MUBIL is an international research project involving museums, libraries and ICT academy partners aiming to develop a consistent methodology enabling the use of Virtual Environments as a metaphor to present manuscripts content through the paradigms of interaction and immersion, evaluating different possible alternatives. This paper presents the results of the application of two prototypes of books augmented with the use of XVR and IL technology. We explore immersive-reality design strategies in archive and library contexts for attracting new users. Our newly established Mubil-lab has invited school classes to test the books augmented with 3D models and other multimedia content in order to investigate whether the immersion in such environments can create wider engagement and support learning. The metaphor of 3D books and game designs in a combination allows the digital books to be handled through a tactile experience and substitute the physical browsing. In this paper we present some preliminary results about the enrichment of the user experience in such environment.

  17. Implementation of 3d Tools and Immersive Experience Interaction for Supporting Learning in a Library-Archive Environment. Visions and Challenges

    Science.gov (United States)

    Angeletaki, A.; Carrozzino, M.; Johansen, S.

    2013-07-01

    In this paper we present an experimental environment of 3D books combined with a game application that has been developed by a collaboration project between the Norwegian University of Science and Technology in Trondheim, Norway the NTNU University Library, and the Percro laboratory of Santa Anna University in Pisa, Italy. MUBIL is an international research project involving museums, libraries and ICT academy partners aiming to develop a consistent methodology enabling the use of Virtual Environments as a metaphor to present manuscripts content through the paradigms of interaction and immersion, evaluating different possible alternatives. This paper presents the results of the application of two prototypes of books augmented with the use of XVR and IL technology. We explore immersive-reality design strategies in archive and library contexts for attracting new users. Our newly established Mubil-lab has invited school classes to test the books augmented with 3D models and other multimedia content in order to investigate whether the immersion in such environments can create wider engagement and support learning. The metaphor of 3D books and game designs in a combination allows the digital books to be handled through a tactile experience and substitute the physical browsing. In this paper we present some preliminary results about the enrichment of the user experience in such environment.

  18. 3D IBFV : Hardware-Accelerated 3D Flow Visualization

    NARCIS (Netherlands)

    Telea, Alexandru; Wijk, Jarke J. van

    2003-01-01

    We present a hardware-accelerated method for visualizing 3D flow fields. The method is based on insertion, advection, and decay of dye. To this aim, we extend the texture-based IBFV technique for 2D flow visualization in two main directions. First, we decompose the 3D flow visualization problem in a

  19. 3D IBFV : hardware-accelerated 3D flow visualization

    NARCIS (Netherlands)

    Telea, A.C.; Wijk, van J.J.

    2003-01-01

    We present a hardware-accelerated method for visualizing 3D flow fields. The method is based on insertion, advection, and decay of dye. To this aim, we extend the texture-based IBFV technique presented by van Wijk (2001) for 2D flow visualization in two main directions. First, we decompose the 3D

  20. Control and autonomy between headquarters and subsidiaries: a case study of a us multinational in Portugal

    Directory of Open Access Journals (Sweden)

    Manuel Portugal Ferreira

    2013-11-01

    Full Text Available The management of multinational corporations (MNCs is complicated by the dispersion of subsidiaries in different locations, and the need to organize the best solutions for control, coordination and independence of each subsidiary to leverage their contribution to the EMN. In this article, based on the case study of a U.S. MNC with a subsidiary in Portugal, we analyze the relationship between autonomy and control headquarters the Portuguese subsidiary. The study identifies the main reasons that determine the amount of control exercised over the subsidiary. We conclude that the centralization, formalization of processes and integration rules are essential to the maintenance of coordination and cooperation between headquarters and subsidiary. However, it is the performance of the subsidiary and its role, particularly as contributory network of subsidiaries, which seems to confine the relations of control-autonomy.

  1. A pilot study assessing the value of 3D printed molecular modelling tools for pharmacy student education.

    Science.gov (United States)

    Hall, Susan; Grant, Gary; Arora, Devinder; Karaksha, Abdullah; McFarland, Amelia; Lohning, Anna; Anoopkumar-Dukie, Shailendra

    2017-07-01

    Medicinal chemistry and pharmacology are difficult topics to both teach and learn given the complex nature of drug mechanisms and drug-receptor interactions. This highlights the need for innovative teaching methods to deliver this information to students. One such method is through three-dimensional (3D) printing of enzymes and ligands in the teaching of molecular modelling concepts relating to drug-receptor and enzyme interactions be ligands. This type of printing has been shown to be beneficial in several educational settings; however, to our knowledge, its effectiveness in pharmacy, medicinal chemistry and pharmacology learning and teaching is largely unknown. Therefore, the aim of this study was to evaluate pharmacy student perceptions and the educational benefits of 3D printed molecules in molecular modelling with regards to engagement and learning outcomes when used in a drug-target interaction topic. This aim was achieved through administering students a short questionnaire designed to evaluate their engagement and learning outcomes with students also free to provide comments. This study found that nearly all (>90%) students found the activity was useful in improving both student engagement and learning outcomes. In conclusion, 3D printing may provide an alternative learning activity to help pharmacy students understand the drug-target interaction. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. VR versus LF: towards the limitation-free 3D

    Science.gov (United States)

    Balogh, Tibor; Kara, Peter A.

    2017-06-01

    The evolution of 3D technologies shows a cyclical learning curve with a series of hypes and dead ends, with mistakes and consequences. 3D images contain significantly more information than the corresponding 2D ones. 3D display systems should be built on more pixels, or higher speed components. For true 3D, this factor is in the order of 100x, which is a real technological challenge. If not fulfilled, the capabilities of 3D systems will be compromised: headgears will be needed, or the viewers should be positioned or tracked, single-user devices, lack of parallax, missing cues, etc. The temptation is always there: why to provide all the information, just what the person absorbs that moment (subjective or objective visualization). Virtual Reality (VR) glasses have been around for more than two decades. With the latest technical improvements, VR became the next hype. 3D immersion was added as a new phenomenon; however, VR represents an isolated experience, and still requires headgears and a controlled environment. Augmented Reality (AR) in this sense is different. Will the VR/AR hype with the headgears be a dead end? While VR headsets may sell better than smart glasses or 3D TV glasses, also consider that using the technology may require a set of behavioral changes that the majority of people do not want to make. Displays and technologies that restrict viewers, or cause any discomfort will not be accepted on the long term. The newer wave of 3D is forecasted to 2018-2020, answering the need for unaided, limitation-free 3D experience. Light Field (LF) systems represent the next-generation in 3D. The HoloVizio system, having a capacity in the order of 100x, offers natural, restrictions-free 3D experience on a full field of view, enabling collaborative use for an unlimited number of viewers, even in a wider, immersive space. As a scalable technology, the display range goes from monitor-style units, through automotive 3D HUDs, screen-less solutions, up to cinema systems

  3. Using Videos and 3D Animations for Conceptual Learning in Basic Computer Units

    Science.gov (United States)

    Cakiroglu, Unal; Yilmaz, Huseyin

    2017-01-01

    This article draws on a one-semester study to investigate the effect of videos and 3D animations on students' conceptual understandings about basic computer units. A quasi-experimental design was carried out in two classrooms; videos and 3D animations were used in classroom activities in one group and those were used for homework in the other…

  4. Implementation of 3D virtual learning environment to improve students’ cognitive achievement

    Science.gov (United States)

    Rasim; Langi, A. Z. R.; Rosmansyah, Y.; Munir

    2018-05-01

    Virtual Learning Environment (VLE) has been widely used in assisting learning. This study aims to implement VLE-based learning in software engineering course. VLE provides many facilities for learning. In this research, VLE components used were presenter and quiz chair components. Evaluation results showed a significant difference from classical learning.

  5. D-cycloserine enhances spatial learning performances of rats ...

    African Journals Online (AJOL)

    Chronic developmental lead (Pb) exposure has long been associated with cognitive dysfunction in children and animals. N-methyl-D-aspartate (NMDA) receptors, important in the synaptic mechanisms involved in learning and memory, are key target of lead toxicity. D-cycloserine (DCS), a partial agonist of the ...

  6. Acute D2/D3 dopaminergic agonism but chronic D2/D3 antagonism prevents NMDA antagonist neurotoxicity.

    Science.gov (United States)

    Farber, Nuri B; Nemmers, Brian; Noguchi, Kevin K

    2006-09-15

    Antagonists of the N-methyl-D-aspartate (NMDA) glutamate receptor, most likely by producing disinhibtion in complex circuits, acutely produce psychosis and cognitive disturbances in humans, and neurotoxicity in rodents. Studies examining NMDA Receptor Hypofunction (NRHypo) neurotoxicity in animals, therefore, may provide insights into the pathophysiology of psychotic disorders. Dopaminergic D2 and/or D3 agents can modify psychosis over days to weeks, suggesting involvement of these transmitter system(s). We studied the ability of D2/D3 agonists and antagonists to modify NRHypo neurotoxicity both after a one-time acute exposure and after chronic daily exposure. Here we report that D2/D3 dopamine agonists, probably via D3 receptors, prevent NRHypo neurotoxicity when given acutely. The protective effect with D2/D3 agonists is not seen after chronic daily dosing. In contrast, the antipsychotic haloperidol does not affect NRHypo neurotoxicity when given acutely at D2/D3 doses. However, after chronic daily dosing of 1, 3, or 5 weeks, haloperidol does prevent NRHypo neurotoxicity with longer durations producing greater protection. Understanding the changes that occur in the NRHypo circuit after chronic exposure to dopaminergic agents could provide important clues into the pathophysiology of psychotic disorders.

  7. The Effects of Students' Learning Anxiety and Motivation on the Learning Achievement in the Activity Theory Based Gamified Learning Environment

    Science.gov (United States)

    Su, Chung-Ho

    2017-01-01

    The advancement of mobile game-based learning has encouraged many related studies, which has enabled students to learn more and faster. To enhance the clinical path of cardiac catheterization learning, this paper has developed a mobile 3D-CCGBLS (3D Cardiac Catheterization Game-Based Learning System) with a learning assessment for cardiac…

  8. Dissociable Hippocampal and Amygdalar D1-like receptor contribution to Discriminated Pavlovian conditioned approach learning

    Science.gov (United States)

    Andrzejewski, Matthew E; Ryals, Curtis

    2016-01-01

    Pavlovian conditioning is an elementary form of reward-related behavioral adaptation. The mesolimbic dopamine system is widely considered to mediate critical aspects of reward-related learning. For example, initial acquisition of positively-reinforced operant behavior requires dopamine (DA) D1 receptor (D1R) activation in the basolateral amygdala (BLA), central nucleus of the amygdala (CeA), and the ventral subiculum (vSUB). However, the role of D1R activation in these areas on appetitive, non-drug-related, Pavlovian learning is not currently known. In separate experiments, microinfusions of the D1-like receptor antagonist SCH-23390 (3.0 nmol/0.5 μL per side) into the amygdala and subiculum preceded discriminated Pavlovian conditioned approach (dPCA) training sessions. D1-like antagonism in all three structures impaired the acquisition of discriminated approach, but had no effect on performance after conditioning was asymptotic. Moreover, dissociable effects of D1-like antagonism in the three structures on components of discriminated responding were obtained. Lastly, the lack of latent inhibition in drug-treated groups may elucidate the role of D1-like in reward-related Pavlovian conditioning. The present data suggest a role for the D1 receptors in the amygdala and hippocampus in learning the significance of conditional stimuli, but not in the expression of conditional responses. PMID:26632336

  9. Pengkajian Aplikasi 3D untuk Permodelan Bangunan Bersejarah

    Directory of Open Access Journals (Sweden)

    Sigit Wijaksono

    2013-12-01

    Full Text Available Various history books as media to learn the history of Indonesia people are actually quite complete and adequate. However, the interest of younger generation, especially the children, to read the books is quite low. Additionally, the advance of computer technology makes kids and students more interested playing game than reading books. The game trend backgrounds the need for research on the use of computer game application as a medium to learn the history of the building through a game. As the special purpose of this research is to obtain a game application that can be a medium of learning historical buildings. The research is divided into two stages: the first stage is to identify gaming software that can be used as an educational game for historical buildings and to develop the model of 3D gaming applications; the second phase is the application trial and implementation at schools.

  10. Characterizing 3D sensors using the 3D modulation transfer function

    Science.gov (United States)

    Kellner, Timo; Breitbarth, Andreas; Zhang, Chen; Notni, Gunther

    2018-03-01

    The fields of optical 3D measurement system applications are continuously expanding and becoming more and more diverse. To evaluate appropriate systems for various measurement tasks, comparable parameters are necessary, whereas the 3D modulation transfer function (3D-MTF) has been established as a further criterion. Its aim is the determination of the system response between the measurement of a straight, sharp-edged cube and its opposite ideal calculated one. Within the scope of this work simulations and practical investigations regarding the 3D-MTF’s influences and its main issues are specifically investigated. Therefore, different determined edge radii representing the high-frequency spectra lead to various decreasing 3D-MTF characteristics. Furthermore, rising sampling frequencies improve its maximum transfer value to a saturation point in dependence of the radius. To approve these results of previous simulations, three fringe projection scanners were selected to determine the diversity. As the best 3D-MTF characteristic, a saturated transfer value of H_3D( f_N, 3D) = 0.79 has been identified at a sufficient sampling frequency, which is reached at four times the Nyquist limit. This high 3D resolution can mainly be achieved due to an improved camera projector interaction. Additionally, too small sampling ratios lead to uncertainties in the edge function determination, while higher ratios do not show major improvements. In conclusion, the 3D-MTF algorithm has thus been practically verified and its repeatability as well as its robustness have been confirmed.

  11. Aspects of defects in 3d-3d correspondence

    International Nuclear Information System (INIS)

    Gang, Dongmin; Kim, Nakwoo; Romo, Mauricio; Yamazaki, Masahito

    2016-01-01

    In this paper we study supersymmetric co-dimension 2 and 4 defects in the compactification of the 6d (2,0) theory of type A_N_−_1 on a 3-manifold M. The so-called 3d-3d correspondence is a relation between complexified Chern-Simons theory (with gauge group SL(N,ℂ)) on M and a 3d N=2 theory T_N[M]. We study this correspondence in the presence of supersymmetric defects, which are knots/links inside the 3-manifold. Our study employs a number of different methods: state-integral models for complex Chern-Simons theory, cluster algebra techniques, domain wall theory T[SU(N)], 5d N=2 SYM, and also supergravity analysis through holography. These methods are complementary and we find agreement between them. In some cases the results lead to highly non-trivial predictions on the partition function. Our discussion includes a general expression for the cluster partition function, which can be used to compute in the presence of maximal and certain class of non-maximal punctures when N>2. We also highlight the non-Abelian description of the 3d N=2T_N[M] theory with defect included, when such a description is available. This paper is a companion to our shorter paper http://dx.doi.org/10.1088/1751-8113/49/30/30LT02, which summarizes our main results.

  12. Corporate Language and Implications for Organizational Learning

    DEFF Research Database (Denmark)

    Zølner, Mette

    2013-01-01

    This paper explores empirically implications of language use for MNCs’ learning from subsidiaries. Drawing on sociolinguistic literature, the article argues that while employing a single corporate language facilitates quick and direct communication of explicit knowledge, such a language design...... is insufficient to leverage contextually specific and culturally embedded knowledge. This indicates the need for disentangling language and culture. The paper further argues for the need to go beyond national language to consider how prevailing kinds of corporate talk may curb headquarters potential for learning...

  13. 3-D Teaching of Climate Change: An innovative professional learning model for K-12 teachers

    Science.gov (United States)

    Stapleton, M.; Wolfson, J.; Sezen-Barrie, A.

    2017-12-01

    In spite of the presumed controversy over the evidence for climate change, the recently released Next Generation Science Standards (NGSS) for K-12 include a focus on climate literacy and explicitly use the term `climate change.' In addition to the increased focus on climate change, the NGSS are also built upon a new three dimensional framework for teaching and learning science. Three dimensional learning has students engaging in scientific and engineering practices (Dimension 1), while using crosscutting concepts (Dimension 2) to explore and explain natural phenomena using disciplinary core ideas (Dimension 3). The adoption of these new standards in many states across the nation has created a critical need for on-going professional learning as in-service science educators begin to implement both climate change instruction and three dimensional teaching and learning in their classrooms. In response to this need, we developed an innovative professional learning model for preparing teachers to effectively integrate climate change into their new curriculum and engage students in three dimensional learning. Our professional learning model utilized ideas that have emerged from recent science education research and include: a) formative assessment probes for three dimensional learning that monitor students' progress; b) collaboration with scientists with expertise in climate science to understand the domain specific ways of doing science; and c) development of a community of practice for in-service teachers to provide feedback to each other on their implementation. In this poster presentation, we will provide details on the development of this professional learning model and discuss the affordances and challenges of implementing this type of professional learning experience.

  14. 3D digital anatomy modelling - Practical or pretty?

    Science.gov (United States)

    Murgitroyd, Ellen; Madurska, Marta; Gonzalez, Jasmina; Watson, Angus

    2015-06-01

    With an increasing move towards digitalisation of medical records and medical teaching, such as online exams and webinars, one of the questions that persists asks 'is there a place for digital anatomy teaching and can it effectively replace the traditional teaching methods such as cadaveric dissection?' Cadaveric dissection has a number of benefits as a teaching method but it also has its limitations. Although these can be partially addressed by prosections and new more "life-like" fixatives, it does not address the lack of resources and the increasing pressure to be able to study and learn at home. This paper reviews the literature with regards to the suitability of digital models for teaching and the wider uses a 3D digital anatomy model could have, such as postgraduate teaching, patient education and surgical planning. It also looks briefly at the learning model that anatomy as art contributes. The literature has scattered examples of digital models used for teaching at both undergraduate and postgraduate level, which demonstrate a number of positive outcomes, mostly surrounding user satisfaction and convenience. 3D modelling for patient education and operation planning has less exploration, and these papers generate a number of discussion points, mostly surrounding the practicality of digital models, which can be more time consuming and require the technology to be widely available and reliable. 3D digital anatomy is a useful adjunct to teaching and its use in patient education and operation planning have interesting possibilities still to be fully explored. Copyright © 2014 Royal College of Surgeons of Edinburgh (Scottish charity number SC005317) and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved.

  15. Mastering Mental Ray Rendering Techniques for 3D and CAD Professionals

    CERN Document Server

    O'Connor, Jennifer

    2010-01-01

    Proven techniques for using mental ray effectively. If you're a busy artist seeking high-end results for your 3D, design, or architecture renders using mental ray, this is the perfect book for you. It distills the highly technical nature of rendering into easy-to-follow steps and tutorials that you can apply immediately to your own projects. The book uses 3ds Max and 3ds Max Design to show the integration with mental ray, but users of any 3D or CAD software can learn valuable techniques for incorporating mental ray into their pipelines.: Takes you under the hood of mental ray, a stand-alone or

  16. Tangible 3D modeling of coherent and themed structures

    DEFF Research Database (Denmark)

    Walther, Jeppe Ullè; Bærentzen, J. Andreas; Aanæs, Henrik

    2016-01-01

    We present CubeBuilder, a system for interactive, tangible 3D shape modeling. CubeBuilder allows the user to create a digital 3D model by placing physical, non-interlocking cubic blocks. These blocks may be placed in a completely arbitrary fashion and combined with other objects. In effect......, this turns the task of 3D modeling into a playful activity that hardly requires any learning on the part of the user. The blocks are registered using a depth camera and entered into the cube graph where each block is a node and adjacent blocks are connected by edges. From the cube graph, we transform......, allows the user to tangibly build structures of greater details than the blocks provide in and of themselves. We show a number of shapes that have been modeled by users and are indicative of the expressive power of the system. Furthermore, we demonstrate the scalability of the tangible interface which...

  17. D3-??????????????????????? ? ???? ?????????? ?2 ?????? ?????? ?????

    OpenAIRE

    ?????????, ????; ???????, ???????; ??????, ?????????; ?????????????, ????; ??????, ??????

    2011-01-01

    ????? ?????? ??????? ????? ????? ??????????? ?????? ?????? ????? ? ?????? ? ???????? ????? ?????????. ?????????? ???????????? ?????? ?? ?2 ?????? ?????? ????? ??????? ?? D3 ???????????????? ??????? ??????????? ?????? ????????? ????? ?????????? ??? ??? ??????????. ? ????? ????????????? ??????????? ??? ????????? ????????????? ?????????? ???? ?????????? ?????????? ????? ????????? ?????? ???????? ?? D3-????????????????? ???????.

  18. Developing a Pre-Engineering Curriculum for 3D Printing Skills for High School Technology Education

    Science.gov (United States)

    Chien, Yu-Hung

    2017-01-01

    This study developed an integrated-STEM CO[subscript 2] dragster design course using 3D printing technology. After developing a pre-engineering curriculum, we conducted a teaching experiment to assess students' differences in creativity, race forecast accuracy, and learning performance. We compared student performance in both 3D printing and…

  19. The Learner Characteristics, Features of Desktop 3D Virtual Reality Environments, and College Chemistry Instruction: A Structural Equation Modeling Analysis

    Science.gov (United States)

    Merchant, Zahira; Goetz, Ernest T.; Keeney-Kennicutt, Wendy; Kwok, Oi-man; Cifuentes, Lauren; Davis, Trina J.

    2012-01-01

    We examined a model of the impact of a 3D desktop virtual reality environment on the learner characteristics (i.e. perceptual and psychological variables) that can enhance chemistry-related learning achievements in an introductory college chemistry class. The relationships between the 3D virtual reality features and the chemistry learning test as…

  20. Status report on roadmap headquarters issue resolution activities

    International Nuclear Information System (INIS)

    1993-01-01

    The Roadmap Project Office (RPO), under the Office of Planning (EM-14), continues to review headquarters (HQ) issues raised by the field in their roadmap documents. Currently, twenty-nine HQ issues are in the ''resolution'' process or are being defined for resolution. The resolution process involves an Environmental Restoration and Waste Management Program (EM) HQ person, the Action Officer (AO), as the leader in the resolution process. The RPO is responsible to EM-14 for reporting on the progress of issue resolution activities and also to provide contractor support to each Action Officer: the contractor support person is identifies as the Issue Resolution Facilitator (IF). Field contacts also are identified for each issue. This document provides current information on HQ issues actively in the ''resolution'' process or being defined for resolution. The issues are primarily institutional rather than technical and mainly involve regulatory, coordination, prioritization, policy and management concerns

  1. Review of Dactyl: an Interactive 3D Osteology App [iPad

    Directory of Open Access Journals (Sweden)

    Reviewed by Alison Atkin

    2015-01-01

    Full Text Available The study of human osteology has always relied on access to real skeletal remains from collections for teaching, learning, and reference. it has long been supplemented by representational and replica materials, some two-dimensional, such as illustrations and photographs, and others three-dimensional, such as casts and, more recently, 3D digital objects. All are important aids in the study of osteology; however, some of the most exciting advances have recently been made in interactive 3D digital osteology objects. In recent years with the adoption of 3D scanning technology in osteology, such as CT, MRI, laser, and structured light scanners, these 3D digital objects are no longer limited to computer-generated representations, and now include replicas of real human skeletal remains. These can be presented with photo-realistic colours, dynamic textures, and detailed features, and as such they represent a major shift forward in interactive 3D digital osteology. Dactyl, the focus of this review, is the newest addition to this area and is the first to incorporate all of the key advances into one resource: an app that uses tactile response to interact with high-quality replica 3D digital objects.

  2. Extracting 3D layout from a single image using global image structures.

    Science.gov (United States)

    Lou, Zhongyu; Gevers, Theo; Hu, Ninghang

    2015-10-01

    Extracting the pixel-level 3D layout from a single image is important for different applications, such as object localization, image, and video categorization. Traditionally, the 3D layout is derived by solving a pixel-level classification problem. However, the image-level 3D structure can be very beneficial for extracting pixel-level 3D layout since it implies the way how pixels in the image are organized. In this paper, we propose an approach that first predicts the global image structure, and then we use the global structure for fine-grained pixel-level 3D layout extraction. In particular, image features are extracted based on multiple layout templates. We then learn a discriminative model for classifying the global layout at the image-level. Using latent variables, we implicitly model the sublevel semantics of the image, which enrich the expressiveness of our model. After the image-level structure is obtained, it is used as the prior knowledge to infer pixel-wise 3D layout. Experiments show that the results of our model outperform the state-of-the-art methods by 11.7% for 3D structure classification. Moreover, we show that employing the 3D structure prior information yields accurate 3D scene layout segmentation.

  3. 3D printing in social education: Eki-Fab and student PBL

    Science.gov (United States)

    Makino, Masato; Saito, Azusa; Kodama, Mai; Takamatsu, Kyuuichiro; Tamate, Hideaki; Sakai, Kazuyuki; Wada, Masato; Khosla, Ajit; Kawakami, Masaru; Furukawa, Hidemitsu

    2017-04-01

    Additive manufacturing or 3D printer is one of the most innovative material processing methods. We are considering that human resources for 3D printing would be needed in the future. To educate the abilities of the digital fabrication, we have the public digital fabrication space "Eki-Fab" for junior and high school students and Project Based Learning (PBL) class for undergraduate students. Eki-Fab is held on every Saturday at the Yonezawa train station. In the "Eki-Fab", anybody can study the utilizing of 3D printer and modeling technics under the instruction of staff in Yamagata University. In the PBL class, we have the class every Thursday. The students get the techniques of the digital fabrication through the PBL.

  4. Photoaffinity labeling of serum vitamin D binding protein by 3-deoxy-3-azido-25-hydroxyvitamin D3

    International Nuclear Information System (INIS)

    Link, R.P.; Kutner, A.; Schnoes, H.K.; DeLuca, H.F.

    1987-01-01

    3-Deoxy-3-azido-25-hydroxyvitamin D3 was covalently incorporated in the 25-hydroxyvitamin D3 binding site of purified human plasma vitamin D binding protein. Competition experiments showed that 3-deoxy-3-azido-25-hydroxyvitamin D3 and 25-hydroxyvitamin D3 bind at the same site on the protein. Tritiated 3-deoxy-3-azido-25-hydroxyvitamin D3 was synthesized from tritiated 25-hydroxyvitamin D3, retaining the high specific activity of the parent compound. The tritiated azido label bound reversibly to human vitamin D binding protein in the dark and covalently to human vitamin D binding protein after exposure to ultraviolet light. Reversible binding of tritiated 3-deoxy-3-azido-25-hydroxyvitamin D3 was compared to tritiated 25-hydroxyvitamin D3 binding to human vitamin D binding protein. Scatchard analysis of the data indicated equivalent maximum density binding sites with a KD,app of 0.21 nM for 25-hydroxyvitamin D3 and a KD,app of 1.3 nM for the azido derivative. Covalent binding was observed only after exposure to ultraviolet irradiation, with an average of 3% of the reversibly bound label becoming covalently bound to vitamin D binding protein. The covalent binding was reduced 70-80% when 25-hydroxyvitamin D3 was present, indicating strong covalent binding at the vitamin D binding site of the protein. When tritiated 3-deoxy-3-azido-25-hydroxyvitamin D3 was incubated with human plasma in the absence and presence of 25-hydroxyvitamin D3, 12% of the azido derivative was reversibly bound to vitamin D binding protein. After ultraviolet irradiation, four plasma proteins covalently bound the azido label, but vitamin D binding protein was the only protein of the four that was unlabeled in the presence of 25-hydroxyvitamin D3

  5. 3D for free using the Mac's standard apps : converting raw 3D text files to QuickDraw 3D's 3DMF format using AppleScript

    NARCIS (Netherlands)

    Djajadiningrat, J.P.

    2003-01-01

    This article introduces you to the basics of 3D files in general and the 3D Metafile (3DMF), QuickDraw 3D's native 3D format, in particular. It shows how you can use AppleScript to easily convert a raw 3D text file into a 3DMF readable by the QuickDraw 3D Viewer or any other QuickDraw 3D compatible

  6. MO-A-9A-01: Innovation in Medical Physics Practice: 3D Printing Applications

    International Nuclear Information System (INIS)

    Ehler, E; Perks, J; Rasmussen, K; Bakic, P

    2014-01-01

    3D printing, also called additive manufacturing, has great potential to advance the field of medicine. Many medical uses have been exhibited from facial reconstruction to the repair of pulmonary obstructions. The strength of 3D printing is to quickly convert a 3D computer model into a physical object. Medical use of 3D models is already ubiquitous with technologies such as computed tomography and magnetic resonance imaging. Thus tailoring 3D printing technology to medical functions has the potential to impact patient care. This session will discuss applications to the field of Medical Physics. Topics discussed will include introduction to 3D printing methods as well as examples of real-world uses of 3D printing spanning clinical and research practice in diagnostic imaging and radiation therapy. The session will also compare 3D printing to other manufacturing processes and discuss a variety of uses of 3D printing technology outside the field of Medical Physics. Learning Objectives: Understand the technologies available for 3D Printing Understand methods to generate 3D models Identify the benefits and drawbacks to rapid prototyping / 3D Printing Understand the potential issues related to clinical use of 3D Printing

  7. MO-A-9A-01: Innovation in Medical Physics Practice: 3D Printing Applications

    Energy Technology Data Exchange (ETDEWEB)

    Ehler, E [University of Minnesota, Minneapolis, MN (United States); Perks, J [UC Davis Medical Center, Sacramento, CA (United States); Rasmussen, K [East Carolina University, Greenville, NC (United States); Bakic, P [University of Pennsylvania, Philadelphia, PA (United States)

    2014-06-15

    3D printing, also called additive manufacturing, has great potential to advance the field of medicine. Many medical uses have been exhibited from facial reconstruction to the repair of pulmonary obstructions. The strength of 3D printing is to quickly convert a 3D computer model into a physical object. Medical use of 3D models is already ubiquitous with technologies such as computed tomography and magnetic resonance imaging. Thus tailoring 3D printing technology to medical functions has the potential to impact patient care. This session will discuss applications to the field of Medical Physics. Topics discussed will include introduction to 3D printing methods as well as examples of real-world uses of 3D printing spanning clinical and research practice in diagnostic imaging and radiation therapy. The session will also compare 3D printing to other manufacturing processes and discuss a variety of uses of 3D printing technology outside the field of Medical Physics. Learning Objectives: Understand the technologies available for 3D Printing Understand methods to generate 3D models Identify the benefits and drawbacks to rapid prototyping / 3D Printing Understand the potential issues related to clinical use of 3D Printing.

  8. Flextime: A Modified Work Force Scheduling Technique for Selected Headquarters Air Force Logistics Command Organizations.

    Science.gov (United States)

    Kimzey, Reed T.; Prince, Samuel M. O.

    The thesis discusses the advantages and disadvantages of one work force scheduling technique--flextime. The authors were interested in determining if a flextime schedule could be put into effect in a governmental organization such as Headquarters Air Force Logistics Command (AFLC). The study objectives were to determine the feasibility,…

  9. Maximum Spanning Tree Model on Personalized Web Based Collaborative Learning in Web 3.0

    OpenAIRE

    Padma, S.; Seshasaayee, Ananthi

    2012-01-01

    Web 3.0 is an evolving extension of the current web environme bnt. Information in web 3.0 can be collaborated and communicated when queried. Web 3.0 architecture provides an excellent learning experience to the students. Web 3.0 is 3D, media centric and semantic. Web based learning has been on high in recent days. Web 3.0 has intelligent agents as tutors to collect and disseminate the answers to the queries by the students. Completely Interactive learner's query determine the customization of...

  10. 3D Elevation Program—Virtual USA in 3D

    Science.gov (United States)

    Lukas, Vicki; Stoker, J.M.

    2016-04-14

    The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) uses a laser system called ‘lidar’ (light detection and ranging) to create a virtual reality map of the Nation that is very accurate. 3D maps have many uses with new uses being discovered all the time.  

  11. 3D Animation Essentials

    CERN Document Server

    Beane, Andy

    2012-01-01

    The essential fundamentals of 3D animation for aspiring 3D artists 3D is everywhere--video games, movie and television special effects, mobile devices, etc. Many aspiring artists and animators have grown up with 3D and computers, and naturally gravitate to this field as their area of interest. Bringing a blend of studio and classroom experience to offer you thorough coverage of the 3D animation industry, this must-have book shows you what it takes to create compelling and realistic 3D imagery. Serves as the first step to understanding the language of 3D and computer graphics (CG)Covers 3D anim

  12. 3DSEM: A 3D microscopy dataset

    Directory of Open Access Journals (Sweden)

    Ahmad P. Tafti

    2016-03-01

    Full Text Available The Scanning Electron Microscope (SEM as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectively measure and visualize the surface properties, we need to truly restore the 3D shape model from 2D SEM images. Having 3D surfaces would provide anatomic shape of micro-samples which allows for quantitative measurements and informative visualization of the specimens being investigated. The 3DSEM is a dataset for 3D microscopy vision which is freely available at [1] for any academic, educational, and research purposes. The dataset includes both 2D images and 3D reconstructed surfaces of several real microscopic samples. Keywords: 3D microscopy dataset, 3D microscopy vision, 3D SEM surface reconstruction, Scanning Electron Microscope (SEM

  13. Phase correction for three-dimensional (3D) diffusion-weighted interleaved EPI using 3D multiplexed sensitivity encoding and reconstruction (3D-MUSER).

    Science.gov (United States)

    Chang, Hing-Chiu; Hui, Edward S; Chiu, Pui-Wai; Liu, Xiaoxi; Chen, Nan-Kuei

    2018-05-01

    Three-dimensional (3D) multiplexed sensitivity encoding and reconstruction (3D-MUSER) algorithm is proposed to reduce aliasing artifacts and signal corruption caused by inter-shot 3D phase variations in 3D diffusion-weighted echo planar imaging (DW-EPI). 3D-MUSER extends the original framework of multiplexed sensitivity encoding (MUSE) to a hybrid k-space-based reconstruction, thereby enabling the correction of inter-shot 3D phase variations. A 3D single-shot EPI navigator echo was used to measure inter-shot 3D phase variations. The performance of 3D-MUSER was evaluated by analyses of point-spread function (PSF), signal-to-noise ratio (SNR), and artifact levels. The efficacy of phase correction using 3D-MUSER for different slab thicknesses and b-values were investigated. Simulations showed that 3D-MUSER could eliminate artifacts because of through-slab phase variation and reduce noise amplification because of SENSE reconstruction. All aliasing artifacts and signal corruption in 3D interleaved DW-EPI acquired with different slab thicknesses and b-values were reduced by our new algorithm. A near-whole brain single-slab 3D DTI with 1.3-mm isotropic voxel acquired at 1.5T was successfully demonstrated. 3D phase correction for 3D interleaved DW-EPI data is made possible by 3D-MUSER, thereby improving feasible slab thickness and maximum feasible b-value. Magn Reson Med 79:2702-2712, 2018. © 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

  14. 3D Technology Selection for a Virtual Learning Environment by Blending ISO 9126 Standard and AHP

    Science.gov (United States)

    Cetin, Aydin; Guler, Inan

    2011-01-01

    Web3D presents many opportunities for learners in a virtual world or virtual environment over the web. This is a great opportunity for open-distance education institutions to benefit from web3d technologies to create courses with interactive 3d materials. There are many open source and commercial products offering 3d technologies over the web…

  15. The 3D model of debriefing: defusing, discovering, and deepening.

    Science.gov (United States)

    Zigmont, Jason J; Kappus, Liana J; Sudikoff, Stephanie N

    2011-04-01

    The experiential learning process involves participation in key experiences and analysis of those experiences. In health care, these experiences can occur through high-fidelity simulation or in the actual clinical setting. The most important component of this process is the postexperience analysis or debriefing. During the debriefing, individuals must reflect upon the experience, identify the mental models that led to behaviors or cognitive processes, and then build or enhance new mental models to be used in future experiences. On the basis of adult learning theory, the Kolb Experiential Learning Cycle, and the Learning Outcomes Model, we structured a framework for facilitators of debriefings entitled "the 3D Model of Debriefing: Defusing, Discovering, and Deepening." It incorporates common phases prevalent in the debriefing literature, including description of and reactions to the experience, analysis of behaviors, and application or synthesis of new knowledge into clinical practice. It can be used to enhance learning after real or simulated events. Copyright © 2011 Elsevier Inc. All rights reserved.

  16. A machine learning pipeline for automated registration and classification of 3D lidar data

    Science.gov (United States)

    Rajagopal, Abhejit; Chellappan, Karthik; Chandrasekaran, Shivkumar; Brown, Andrew P.

    2017-05-01

    Despite the large availability of geospatial data, registration and exploitation of these datasets remains a persis- tent challenge in geoinformatics. Popular signal processing and machine learning algorithms, such as non-linear SVMs and neural networks, rely on well-formatted input models as well as reliable output labels, which are not always immediately available. In this paper we outline a pipeline for gathering, registering, and classifying initially unlabeled wide-area geospatial data. As an illustrative example, we demonstrate the training and test- ing of a convolutional neural network to recognize 3D models in the OGRIP 2007 LiDAR dataset using fuzzy labels derived from OpenStreetMap as well as other datasets available on OpenTopography.org. When auxiliary label information is required, various text and natural language processing filters are used to extract and cluster keywords useful for identifying potential target classes. A subset of these keywords are subsequently used to form multi-class labels, with no assumption of independence. Finally, we employ class-dependent geometry extraction routines to identify candidates from both training and testing datasets. Our regression networks are able to identify the presence of 6 structural classes, including roads, walls, and buildings, in volumes as big as 8000 m3 in as little as 1.2 seconds on a commodity 4-core Intel CPU. The presented framework is neither dataset nor sensor-modality limited due to the registration process, and is capable of multi-sensor data-fusion.

  17. Collaborative International Evaluated Library Organisation Pilot Project. CIELO meeting, NEA Headquarters, 18-20 May 2015

    International Nuclear Information System (INIS)

    Mattoon, Caleb; Brown, David; Trkov, Andrej; Plompen, Arjan; Hawari, Ayman I.; Roubtsov, Danila; Kim, Do Heon; Bauge, Eric; Palmiotti, Giuseppe; Kessedjian, Gregoire; Conlin, Jeremy Lloyd; Qian, Jing; Leal, Luiz Carlos; Chadwick, Mark; Herman, Michal Wladyslaw; White, Morgan C.; Cabellos, Oscar; Romain, Pascal; Schillebeeckx, Peter; Ichou, Raphaelle; Jacqmin, Robert; Hilaire, Stephane; Danon, Yaron; Ge, Zhigang; Malvagi, Fausto; Kahler, Albert C. Skip; Morillon, Benjamin; Mcnabb, Dennis P.; Oleynik, Dmitry S.; Wu, Haicheng; Marquez Damian, Jose Ignacio; Yokoyama, Kenji; Dunn, Michael; Cho, Young-Sik; Pignet, Sophie; Ignatyuk, Anatoly V.; Leeb, Helmut; Wang, Wenming; Ruan, Xichao

    2015-05-01

    WPEC subgroup 40-CIELO (Collaborative International Evaluated Library Organization) provides a new working paradigm to facilitate evaluated nuclear reaction data advances. It brings together experts from across the international nuclear reaction data community to identify and document discrepancies among existing evaluated data libraries, measured data, and model calculation interpretations, and aims to make progress in reconciling these discrepancies to create more accurate ENDF-formatted files. SG40-CIELO focusses on 6 important isotopes: "1H, "1"6O, "5"6Fe, "2"3"5","2"3"8U, "2"3"9Pu. This document is the proceedings of the CIELO meeting, held at the NEA Headquarters on 18-20 May 2015. It comprises all the available presentations (slides) given by the participants: A - CIELO project: - 1: Status of Cross Section Progress (M. Chadwick); - 2: Update on CIELO Related Measurements at RPI (Y. Danon); - 3: IAEA-NDS and the CIELO Project (A. Trkov); - 4: LANL Criticality Data Testing using CIELO Candidate Evaluations (S. Kahler); - 5: ENDF/B-VII.1 vs. CIELO (R. Cullen); B - O"1"6: - 6: n+"1"6O (A. Plompen); - 7: Resonance Evaluations for "1"6O for the CIELO Project (L. Leal); - 8: Validation of Leal and Hale O-16 Evaluations against FNS/JAEA Liquid Oxygen ToF Benchmark (I. Kodeli); - 9: Cierjacks 1968, Cierjacks 1980 and RPI 2015 (C.R. Lubitz); - 10: O"1"6 Items (C.R. Lubitz); C - Fe"5"6: - 11: Iron in fast neutron range, beta-0 evaluation for "5"6Fe (M. Herman); - 12: Data Evaluation at ORNL (L. Leal); - 13: IAEA-NDS and the CIELO Project Fe-56 (A. Trkov); - 14: The evaluation of experimental data in fast range for "5"6Fe (Z. Ge); D - H1 - 15: Reactivity effect of New Light and Heavy Water TSL on Critical Systems (J.I. Marquez); E - Big3: - 16: Resonance Evaluations of "2"3"5U for the CIELO Project (L. Leal); - 17: IAEA-NDS and the CIELO Project U-235 (A. Trkov); - 18: Status of "2"3"5U CIELO evaluation (B. Morillon); - 19: U"2"3"5 Items (C.R. Lubitz); - 20: Fission

  18. Practical algorithms for 3D computer graphics

    CERN Document Server

    Ferguson, R Stuart

    2013-01-01

    ""A valuable book to accompany any course that mixes the theory and practice of 3D graphics. The book's web site has many useful programs and code samples.""-Karen Rafferty, Queen's University, Belfast""The topics covered by this book are backed by the OpenFX modeling and animation software. This is a big plus in that it provides a practical perspective and encourages experimentation. … [This] will offer students a more interesting and hands-on learning experience, especially for those wishing to pursue a career in computer game development.""-Naganand Madhavapeddy, GameDeveloper>

  19. The linear shade guide design of Vita 3D-master performs as well as the original design of the Vita 3D-master.

    Science.gov (United States)

    Corcodel, N; Rammelsberg, P; Jakstat, H; Moldovan, O; Schwarz, S; Hassel, A J

    2010-11-01

    Visual tooth colour assessment by use of the Vita 3D-Master(®) (3D; Vita Zahnfabrik, Bad Säckingen, Germany) is well documented. To improve handling, a new linear arrangement of the shade tabs has been introduced (LG; Linearguide 3D-Master(®) ). The purpose of this study was to investigate whether the linear design has an effect on shade matching. Fifty-six students underwent identical, theoretical and practical training, by use of an Internet learning module [Toothguide Training Software(®) (TT)] and a standardised training programme [Toothguide Training Box(®) (TTB)]. Each student then matched 30 randomly chosen shade tabs presented in an intra-oral setting by a standardised device [Toothguide Check Box(®) (TCB)]; 15 matches were made using the 3D and 15 using the LG shade guide system, under a daylight lamp (840 matches for each guide). It was recorded to what extent the presented and selected shade tabs, or the lightness group of the tabs, matched, also the needed time for colour matching. The results showed that 35% of perfect matches were observed for the 3D and 32% for the LG. The lightness group was correct in 59% of cases for 3D and 56% for LG. Mean time needed for matching of tabs and lightness group was no different between groups (no significant difference for any assessment). Within the limitations of the study design, the colour assessment with regard to performance and time needed in shade matching was not different with the LG or the 3D. Therefore, the user should choose which shade tab arrangement is more applicable. © 2010 Blackwell Publishing Ltd.

  20. The Influence of Supervisor's Transformational Leadership on Learning Culture and Learning Transfer of Nuclear R and D Personnel

    International Nuclear Information System (INIS)

    Min, Sang-Ki; Hwang, Hye-Seon; Jin, You-Rim; Lee, Eui-Jin; Lee, Soo-Jin

    2017-01-01

    Transformational leadership means that supervisors try to support the members individually, and encourage them to find new methods and approaches. In this study, it was identified empirically that a supervisor's transformational leadership has a strong influence on the learning culture and learning transfer of nuclear R and D personnel. To develop the competency of R and D personnel, not only formal education programs but also informal learning such as workplace learning have been carried out in the nuclear R and D organization. In this situation, transformational leadership has an effect on willingness and behavior of nuclear R and D personnel on the formal and informal learning. Therefore, transformational leadership is crucial factor in the human resource development system. The leadership required by them is not a one-sided order, but rather individual consideration, charisma, and intellectual stimulation for their nuclear R and D members. As a point of nuclear training and education, it is necessary to consider the operation of leadership programs that strengthen the transformational leadership of the project managers.

  1. What Do We Know About Corporate Headquarters? A Review, Integration, and Research Agenda

    OpenAIRE

    Menz, Markus; Kunisch, Sven; Collis, David J.

    2013-01-01

    During the past five decades, scholars have studied the corporate headquarters (CHQ) - the multidivisional firm's central organizational unit. The purpose of this article is to review the diverse and fragmented literature on the CHQ and to identify the variables of interest, the dominant relationships, and the contributions. We integrate, for the first time, the existing knowledge of the CHQ into an organizing framework. Based on a synthesis of the literature, we identify major shortcomings a...

  2. From 3D view to 3D print

    Science.gov (United States)

    Dima, M.; Farisato, G.; Bergomi, M.; Viotto, V.; Magrin, D.; Greggio, D.; Farinato, J.; Marafatto, L.; Ragazzoni, R.; Piazza, D.

    2014-08-01

    In the last few years 3D printing is getting more and more popular and used in many fields going from manufacturing to industrial design, architecture, medical support and aerospace. 3D printing is an evolution of bi-dimensional printing, which allows to obtain a solid object from a 3D model, realized with a 3D modelling software. The final product is obtained using an additive process, in which successive layers of material are laid down one over the other. A 3D printer allows to realize, in a simple way, very complex shapes, which would be quite difficult to be produced with dedicated conventional facilities. Thanks to the fact that the 3D printing is obtained superposing one layer to the others, it doesn't need any particular work flow and it is sufficient to simply draw the model and send it to print. Many different kinds of 3D printers exist based on the technology and material used for layer deposition. A common material used by the toner is ABS plastics, which is a light and rigid thermoplastic polymer, whose peculiar mechanical properties make it diffusely used in several fields, like pipes production and cars interiors manufacturing. I used this technology to create a 1:1 scale model of the telescope which is the hardware core of the space small mission CHEOPS (CHaracterising ExOPlanets Satellite) by ESA, which aims to characterize EXOplanets via transits observations. The telescope has a Ritchey-Chrétien configuration with a 30cm aperture and the launch is foreseen in 2017. In this paper, I present the different phases for the realization of such a model, focusing onto pros and cons of this kind of technology. For example, because of the finite printable volume (10×10×12 inches in the x, y and z directions respectively), it has been necessary to split the largest parts of the instrument in smaller components to be then reassembled and post-processed. A further issue is the resolution of the printed material, which is expressed in terms of layers

  3. Vitamin D3 and 25-hydroxyvitamin D3 in pork and their relationship to vitamin D status in pigs

    DEFF Research Database (Denmark)

    Burild, Anders; Lauridsen, Charlotte; Faqir, Nasrin

    2016-01-01

    The content of vitamin D in pork produced in conventional systems depends on the vitamin D concentration in the pig feed. Both vitamin D3 and 25-hydroxyvitamin D3 (25(OH)D3) are essential sources of dietary vitamin D; however, bioavailability assessed by serum 25(OH)D3 concentration is reported...... of vitamin D3 and 25(OH)D3 in the pig feed for 49 d before slaughter. Concurrently, the 25(OH)D3 level in serum was investigated as a biomarker to assess the content of vitamin D3 and 25(OH)D3 in pig tissues. Adipose tissue, white and red muscle, the liver and serum were sampled from pigs fed feed containing...... either vitamin D3 or 25(OH)D3 at 5, 20, 35 or 50 µg/kg feed for 7 weeks before slaughter. The tissue 25(OH)D3 level was significantly higher in the pigs fed 25(OH)D3 compared with those fed vitamin D3, while the tissue vitamin D3 level was higher in the pigs fed vitamin D3 compared with those fed 25(OH...

  4. Comparison of traditional methods with 3D computer models in the instruction of hepatobiliary anatomy.

    Science.gov (United States)

    Keedy, Alexander W; Durack, Jeremy C; Sandhu, Parmbir; Chen, Eric M; O'Sullivan, Patricia S; Breiman, Richard S

    2011-01-01

    This study was designed to determine whether an interactive three-dimensional presentation depicting liver and biliary anatomy is more effective for teaching medical students than a traditional textbook format presentation of the same material. Forty-six medical students volunteered for participation in this study. Baseline demographic information, spatial ability, and knowledge of relevant anatomy were measured. Participants were randomized into two groups and presented with a computer-based interactive learning module comprised of animations and still images to highlight various anatomical structures (3D group), or a computer-based text document containing the same images and text without animation or interactive features (2D group). Following each teaching module, students completed a satisfaction survey and nine-item anatomic knowledge post-test. The 3D group scored higher on the post-test than the 2D group, with a mean score of 74% and 64%, respectively; however, when baseline differences in pretest scores were accounted for, this difference was not statistically significant (P = 0.33). Spatial ability did not statistically significantly correlate with post-test scores for the 3D group or the 2D group. In the post-test satisfaction survey the 3D group expressed a statistically significantly higher overall satisfaction rating compared to students in the 2D control group (4.5 versus 3.7 out of 5, P = 0.02). While the interactive 3D multimedia module received higher satisfaction ratings from students, it neither enhanced nor inhibited learning of complex hepatobiliary anatomy compared to an informationally equivalent traditional textbook style approach. . Copyright © 2011 American Association of Anatomists.

  5. A 2D driven 3D vessel segmentation algorithm for 3D digital subtraction angiography data

    International Nuclear Information System (INIS)

    Spiegel, M; Hornegger, J; Redel, T; Struffert, T; Doerfler, A

    2011-01-01

    Cerebrovascular disease is among the leading causes of death in western industrial nations. 3D rotational angiography delivers indispensable information on vessel morphology and pathology. Physicians make use of this to analyze vessel geometry in detail, i.e. vessel diameters, location and size of aneurysms, to come up with a clinical decision. 3D segmentation is a crucial step in this pipeline. Although a lot of different methods are available nowadays, all of them lack a method to validate the results for the individual patient. Therefore, we propose a novel 2D digital subtraction angiography (DSA)-driven 3D vessel segmentation and validation framework. 2D DSA projections are clinically considered as gold standard when it comes to measurements of vessel diameter or the neck size of aneurysms. An ellipsoid vessel model is applied to deliver the initial 3D segmentation. To assess the accuracy of the 3D vessel segmentation, its forward projections are iteratively overlaid with the corresponding 2D DSA projections. Local vessel discrepancies are modeled by a global 2D/3D optimization function to adjust the 3D vessel segmentation toward the 2D vessel contours. Our framework has been evaluated on phantom data as well as on ten patient datasets. Three 2D DSA projections from varying viewing angles have been used for each dataset. The novel 2D driven 3D vessel segmentation approach shows superior results against state-of-the-art segmentations like region growing, i.e. an improvement of 7.2% points in precision and 5.8% points for the Dice coefficient. This method opens up future clinical applications requiring the greatest vessel accuracy, e.g. computational fluid dynamic modeling.

  6. 3D gaze tracking system for NVidia 3D Vision®.

    Science.gov (United States)

    Wibirama, Sunu; Hamamoto, Kazuhiko

    2013-01-01

    Inappropriate parallax setting in stereoscopic content generally causes visual fatigue and visual discomfort. To optimize three dimensional (3D) effects in stereoscopic content by taking into account health issue, understanding how user gazes at 3D direction in virtual space is currently an important research topic. In this paper, we report the study of developing a novel 3D gaze tracking system for Nvidia 3D Vision(®) to be used in desktop stereoscopic display. We suggest an optimized geometric method to accurately measure the position of virtual 3D object. Our experimental result shows that the proposed system achieved better accuracy compared to conventional geometric method by average errors 0.83 cm, 0.87 cm, and 1.06 cm in X, Y, and Z dimensions, respectively.

  7. Demonstration Assessment of Light-Emitting Diode Parking Structure Lighting at U.S. Department of Labor Headquarters

    Energy Technology Data Exchange (ETDEWEB)

    Kinzey, Bruce R.; Myer, Michael

    2013-03-01

    This report documents a solid-state lighting (SSL) technology demonstration at the parking structure of the U.S. Department of Labor (DOL) Headquarters in Washington, DC, in which light-emitting diode (LED) luminaires were substituted for the incumbent high-pressure sodium (HPS) luminaires and evaluated for relative light quantity and performance. The demonstration results show energy savings of 52% from the initial conversion of HPS to the LED product. These savings were increased to 88% by using occupancy sensor controls that were ultimately set to reduce power to 10% of high state operation after a time delay of 2.5 minutes. Because of the relatively high cost of the LED luminaires at their time of purchase for this project (2010), the simple payback periods were 6.5 years and 4.9 years for retrofit and new construction scenarios, respectively. Staff at DOL Headquarters reported high satisfaction with the operation of the LED product.

  8. A 3D visualization approach for process training in office environments

    NARCIS (Netherlands)

    Aysolmaz, Banu; Brown, Ross; Bruza, Peter; Reijers, Hajo A.

    2016-01-01

    Process participants need to learn how to perform in the context of their business processes. Process training is challenging due to cognitive difficulties in relating process model elements to real world concepts. In this paper we present a 3D VirtualWorld (VW) process training approach for office

  9. LandSIM3D: modellazione in real time 3D di dati geografici

    Directory of Open Access Journals (Sweden)

    Lambo Srl Lambo Srl

    2009-03-01

    Full Text Available LandSIM3D: realtime 3D modelling of geographic data LandSIM3D allows to model in 3D an existing landscape in a few hours only and geo-referenced offering great landscape analysis and understanding tools. 3D projects can then be inserted into the existing landscape with ease and precision. The project alternatives and impact can then be visualized and studied into their immediate environmental. The complex evolution of the landscape in the future can also be simulated and the landscape model can be manipulated interactively and better shared with colleagues. For that reason, LandSIM3D is different from traditional 3D imagery solutions, normally reserved for computer graphics experts. For more information about LandSIM3D, go to www.landsim3d.com.

  10. Learning spectral-temporal features with 3D CNNs for speech emotion recognition

    NARCIS (Netherlands)

    Kim, Jaebok; Truong, Khiet; Englebienne, Gwenn; Evers, Vanessa

    2017-01-01

    In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion recognition (SER). Compared to a hybrid of Convolutional Neural Network and Long-Short-Term-Memory (CNN-LSTM), our proposed

  11. Analysis of students’ spatial thinking in geometry: 3D object into 2D representation

    Science.gov (United States)

    Fiantika, F. R.; Maknun, C. L.; Budayasa, I. K.; Lukito, A.

    2018-05-01

    The aim of this study is to find out the spatial thinking process of students in transforming 3-dimensional (3D) object to 2-dimensional (2D) representation. Spatial thinking is helpful in using maps, planning routes, designing floor plans, and creating art. The student can engage geometric ideas by using concrete models and drawing. Spatial thinking in this study is identified through geometrical problems of transforming a 3-dimensional object into a 2-dimensional object image. The problem was resolved by the subject and analyzed by reference to predetermined spatial thinking indicators. Two representative subjects of elementary school were chosen based on mathematical ability and visual learning style. Explorative description through qualitative approach was used in this study. The result of this study are: 1) there are different representations of spatial thinking between a boy and a girl object, 2) the subjects has their own way to invent the fastest way to draw cube net.

  12. DNA Encoding Training Using 3D Gesture Interaction.

    Science.gov (United States)

    Nicola, Stelian; Handrea, Flavia-Laura; Crişan-Vida, Mihaela; Stoicu-Tivadar, Lăcrămioara

    2017-01-01

    The work described in this paper summarizes the development process and presents the results of a human genetics training application, studying the 20 amino acids formed by the combination of the 3 nucleotides of DNA targeting mainly medical and bioinformatics students. Currently, the domain applications using recognized human gestures of the Leap Motion sensor are used in molecules controlling and learning from Mendeleev table or in visualizing the animated reactions of specific molecules with water. The novelty in the current application consists in using the Leap Motion sensor creating new gestures for the application control and creating a tag based algorithm corresponding to each amino acid, depending on the position in the 3D virtual space of the 4 nucleotides of DNA and their type. The team proposes a 3D application based on Unity editor and on Leap Motion sensor where the user has the liberty of forming different combinations of the 20 amino acids. The results confirm that this new type of study of medicine/biochemistry using the Leap Motion sensor for handling amino acids is suitable for students. The application is original and interactive and the users can create their own amino acid structures in a 3D-like environment which they could not do otherwise using traditional pen-and-paper.

  13. Identification of the transition arrays 3d74s-3d74p in Br X and 3d64s-3d64p in Br XI

    International Nuclear Information System (INIS)

    Zeng, X.T.; Jupen, C.; Bengtsson, P.; Engstroem, L.; Westerlind, M.; Martinson, I.

    1991-01-01

    We report a beam-foil study of multiply ionized bromine in the region 400-1300A, performed with 6 and 8 MeV Br ions from a tandem accelerator. At these energies transitions belonging to Fe-like Br X and Mn-like Br XI are expected to be prominent. We have identified 31 lines as 3d 7 4s-3d 7 4p transitions in Br X, from which 16 levels of the previously unknown 3d 7 4s configuration could be established. We have also added 6 new 3d 7 4p levels to the 99 previously known. For Br XI we have classified 9 lines as 3d 6 4s-3d 6 4p combinations. The line identifications have been corroborated by isoelectronic comparisons and theoretical calculations using the superposition-of-configurations technique. (orig.)

  14. Investigation of the C-3-epi-25(OH)D3 of 25-hydroxyvitamin D3 in urban schoolchildren.

    Science.gov (United States)

    Berger, Samantha E; Van Rompay, Maria I; Gordon, Catherine M; Goodman, Elizabeth; Eliasziw, Misha; Holick, Michael F; Sacheck, Jennifer M

    2018-03-01

    The physiological relevance C-3 epimer of 25-hydroxyvitamin D (3-epi-25(OH)D) is not well understood among youth. The objective of this study was to assess whether demographic/physiologic characteristics were associated with 3-epi-25(OH)D 3 concentrations in youth. Associations between 3-epi-25(OH)D 3 and demographics and between 3-epi-25(OH)D 3 , total 25-hydroxyvitamin (25(OH)D) (25(OH)D 2 + 25(OH)D 3 ), total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglycerides were examined in racially/ethnically diverse schoolchildren (n = 682; age, 8-15 years) at Boston-area urban schools. Approximately 50% of participants had detectable 3-epi-25(OH)D 3 (range 0.95-3.95 ng/mL). The percentage of 3-epi-25(OH)D 3 of total 25(OH)D ranged from 2.5% to 17.0% (median 5.5%). Males were 38% more likely than females to have detectable 3-epi-25(OH)D 3 concentrations. Both Asian and black race/ethnicity were associated with lower odds of having detectable 3-epi-25(OH)D 3 compared with non-Hispanic white children (Asian vs. white, odds ratio (OR) 0.28, 95% confidence interval (CI) 0.14-0.53; black vs. white, OR 0.38, 95%CI 0.23-0.63, p 30 ng/mL) 25(OH)D concentration was associated with higher odds of having detectable 3-epi-25(OH)D 3 than having an inadequate (<20 ng/mL) concentration (OR 4.78, 95%CI 3.23-6.94 or OR 14.10, 95%CI 7.10-28.0, respectively). There was no association between 3-epi-25(OH)D 3 and blood lipids. However, when considering 3-epi-25(OH)D 3 as a percentage of total 25(OH)D, total cholesterol was lower in children with percent 3-epi-25(OH)D 3 above the median (mean difference -7.1 mg/dL, p = 0.01). In conclusion, among schoolchildren, sex, race/ethnicity, and total serum 25(OH)D concentration is differentially associated with 3-epi-25(OH)D. The physiological relevance of 3-epi-25(OH)D 3 may be related to the 3-epi-25(OH)D 3 as a percentage of total 25(OH)D and should be considered in future investigations.

  15. "3D fusion" echocardiography improves 3D left ventricular assessment: comparison with 2D contrast echocardiography.

    Science.gov (United States)

    Augustine, Daniel; Yaqub, Mohammad; Szmigielski, Cezary; Lima, Eduardo; Petersen, Steffen E; Becher, Harald; Noble, J Alison; Leeson, Paul

    2015-02-01

    Three-dimensional fusion echocardiography (3DFE) is a novel postprocessing approach that utilizes imaging data acquired from multiple 3D acquisitions. We assessed image quality, endocardial border definition, and cardiac wall motion in patients using 3DFE compared to standard 3D images (3D) and results obtained with contrast echocardiography (2DC). Twenty-four patients (mean age 66.9 ± 13 years, 17 males, 7 females) undergoing 2DC had three, noncontrast, 3D apical volumes acquired at rest. Images were fused using an automated image fusion approach. Quality of the 3DFE was compared to both 3D and 2DC based on contrast-to-noise ratio (CNR) and endocardial border definition. We then compared clinical wall-motion score index (WMSI) calculated from 3DFE and 3D to those obtained from 2DC images. Fused 3D volumes had significantly improved CNR (8.92 ± 1.35 vs. 6.59 ± 1.19, P echocardiography (1.06 ± 0.09 vs. 1.07 ± 0.15, P = 0.69), whereas unfused images produced significantly more variable results (1.19 ± 0.30). This was confirmed by a better intraclass correlation coefficient (ICC 0.72; 95% CI 0.32-0.88) relative to comparisons with unfused images (ICC 0.56; 95% CI 0.02-0.81). 3DFE significantly improves left ventricular image quality compared to unfused 3D in a patient population and allows noncontrast assessment of wall motion that approaches that achieved with 2D contrast echocardiography. © 2014, Wiley Periodicals, Inc.

  16. iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D.

    Science.gov (United States)

    Liluashvili, Vaja; Kalayci, Selim; Fluder, Eugene; Wilson, Manda; Gabow, Aaron; Gümüs, Zeynep H

    2017-08-01

    Visualizations of biomolecular networks assist in systems-level data exploration in many cellular processes. Data generated from high-throughput experiments increasingly inform these networks, yet current tools do not adequately scale with concomitant increase in their size and complexity. We present an open source software platform, interactome-CAVE (iCAVE), for visualizing large and complex biomolecular interaction networks in 3D. Users can explore networks (i) in 3D using a desktop, (ii) in stereoscopic 3D using 3D-vision glasses and a desktop, or (iii) in immersive 3D within a CAVE environment. iCAVE introduces 3D extensions of known 2D network layout, clustering, and edge-bundling algorithms, as well as new 3D network layout algorithms. Furthermore, users can simultaneously query several built-in databases within iCAVE for network generation or visualize their own networks (e.g., disease, drug, protein, metabolite). iCAVE has modular structure that allows rapid development by addition of algorithms, datasets, or features without affecting other parts of the code. Overall, iCAVE is the first freely available open source tool that enables 3D (optionally stereoscopic or immersive) visualizations of complex, dense, or multi-layered biomolecular networks. While primarily designed for researchers utilizing biomolecular networks, iCAVE can assist researchers in any field. © The Authors 2017. Published by Oxford University Press.

  17. 3D accelerator magnet calculations using MAGNUS-3D

    International Nuclear Information System (INIS)

    Pissanetzky, S.; Miao, Y.

    1989-01-01

    The steady trend towards increased magnetic and geometric complexity in the design of accelerator magnets has caused a need for reliable 3D computer models and a better understanding of the behavior of magnetic system in three dimensions. The capabilities of the MAGNUS-3D family of programs are ideally suited to solve this class of problems and provide insight into 3D effects. MAGNUS-3D can solve any problem of magnetostatics involving permanent magnets, nonlinear ferromagnetic materials and electric conductors. MAGNUS-3D uses the finite element method and the two-scalar-potentials formulation of Maxwell's equations to obtain the solution, which can then be used interactively to obtain tables of field components at specific points or lines, plots of field lines, function graphs representing a field component plotted against a coordinate along any line in space (such as the beam line), and views of the conductors, the mesh and the magnetic bodies. The magnetic quantities that can be calculated include the force or torque on conductors or magnetic parts, the energy, the flux through a specified surface, line integrals of any field component along any line in space, and the average field or potential harmonic coefficients. We describe the programs with emphasis placed on their use for accelerator magnet design, and present an advanced example of actual calculations. (orig.)

  18. 3-D vision and figure-ground separation by visual cortex.

    Science.gov (United States)

    Grossberg, S

    1994-01-01

    A neural network theory of three-dimensional (3-D) vision, called FACADE theory, is described. The theory proposes a solution of the classical figure-ground problem for biological vision. It does so by suggesting how boundary representations and surface representations are formed within a boundary contour system (BCS) and a feature contour system (FCS). The BCS and FCS interact reciprocally to form 3-D boundary and surface representations that are mutually consistent. Their interactions generate 3-D percepts wherein occluding and occluded object parts are separated, completed, and grouped. The theory clarifies how preattentive processes of 3-D perception and figure-ground separation interact reciprocally with attentive processes of spatial localization, object recognition, and visual search. A new theory of stereopsis is proposed that predicts how cells sensitive to multiple spatial frequencies, disparities, and orientations are combined by context-sensitive filtering, competition, and cooperation to form coherent BCS boundary segmentations. Several factors contribute to figure-ground pop-out, including: boundary contrast between spatially contiguous boundaries, whether due to scenic differences in luminance, color, spatial frequency, or disparity; partially ordered interactions from larger spatial scales and disparities to smaller scales and disparities; and surface filling-in restricted to regions surrounded by a connected boundary. Phenomena such as 3-D pop-out from a 2-D picture, Da Vinci stereopsis, 3-D neon color spreading, completion of partially occluded objects, and figure-ground reversals are analyzed. The BCS and FCS subsystems model aspects of how the two parvocellular cortical processing streams that join the lateral geniculate nucleus to prestriate cortical area V4 interact to generate a multiplexed representation of Form-And-Color-And-DEpth, or FACADE, within area V4. Area V4 is suggested to support figure-ground separation and to interact with

  19. The role of virtual reality and 3D modelling in built environment education

    OpenAIRE

    Horne, Margaret; Thompson, Emine Mine

    2007-01-01

    This study builds upon previous research on the integration of Virtual Reality (VR) within the built environment curriculum and aims to investigate the role of Virtual Reality and three-dimensional (3D) computer modelling on learning and teaching in a school of the built environment. In order to achieve this aim a number of academic experiences were analysed to explore the applicability and viability of 3D computer modelling and Virtual Reality (VR) into built environment subject areas. Altho...

  20. TENCompetence Learning Design Toolkit, Runtime component, ccsi_v3_2_10c_v1_4

    NARCIS (Netherlands)

    Sharples, Paul; Popat, Kris; Llobet, Lau; Santos, Patricia; Hernández-Leo, Davinia; Miao, Yongwu; Griffiths, David; Beauvoir, Phillip

    2010-01-01

    Sharples, P., Popat, K., Llobet, L., Santos, P., Hernandez-Leo, D., Miao, Y., Griffiths, D. & Beauvoir, P. (2009) TENCompetence Learning Design Toolkit, Runtime component, ccsi_v3_2_10c_v1_4 This release is composed of three files corresponding to CopperCore Service Integration (CCSI) v3.2-10cv1.4,

  1. The business impact and value of 3-D seismic

    International Nuclear Information System (INIS)

    Aylor, W.K.

    1996-01-01

    3-D Seismic has had a profound and lasting impact on the hydrocarbon exploration and production industry. It is a technology which is often excellent at assessing the risk associated with trap definition, seal and reservoir distribution, the very parameters which are the most critical to optimizing the economics associated with E and P projects. This paper discusses Amoco Corporation's experience with 3-D Seismic when used for new field rate acceleration, older field extension, and wildcat exploration. Its emphasis is on assessing the value added by 3-D by reviewing recent E and P experiences in a post-appraisal mode and then in applying the lessons learned from these analyses and case histories to potential new projects. This work is significant because it first assesses the impact 3-D has had on a large number of business situations at Amoco; that is, it is based on data collected on159 3-D surveys acquired at Amoco between 1991--1994. Second, it uses the data collected from these surveys and applies the business improvements observed in the data to typical international business opportunities to quantify, in expected value $ terms, the value that the technology brings to an average project. Finally, it looks at project economics not only from an oil company perspective, but from the standpoint of a host government, with a discussion of insights and implications of the data, economics and techniques utilized

  2. Qualitative and quantitative analysis of the students’ perceptions to the use of 3D electronic models in problem-based learning

    Directory of Open Access Journals (Sweden)

    Hai Ming Wong

    2017-06-01

    Full Text Available Faculty of Dentistry of the University of Hong Kong has introduced innovative blended problem-based learning (PBL with the aid of 3D electronic models (e-models to Bachelor of Dental Surgery (BDS curriculum. Statistical results of pre- and post-semester questionnaire surveys illustrated compatibility of e-models in PBL settings. The students’ importance ratings of two objectives “Complete assigned tasks on time” and “Active listener”, and twenty-two facilitator evaluation items including critical thinking and group problem-solving skills had increased significantly. The students’ PBL preparation behavior, attentions to problem understanding, problem analysis, and learning resource quality were also found to be related to online support of e-models and its software. Qualitative analysis of open-ended questions with visual text analytic software “Leximancer” improved validity of statistical results. Using e-model functions in treatment planning, problem analysis and giving instructions provided a method of informative communication. Therefore, it is critical for the faculty to continuously provide facilitator training and quality online e-model resources to the students.

  3. Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques

    Science.gov (United States)

    Tellaeche, A.; Arana, R.; Ibarguren, A.; Martínez-Otzeta, J. M.

    The exhaustive quality control is becoming very important in the world's globalized market. One of these examples where quality control becomes critical is the percussion cap mass production. These elements must achieve a minimum tolerance deviation in their fabrication. This paper outlines a machine vision development using a 3D camera for the inspection of the whole production of percussion caps. This system presents multiple problems, such as metallic reflections in the percussion caps, high speed movement of the system and mechanical errors and irregularities in percussion cap placement. Due to these problems, it is impossible to solve the problem by traditional image processing methods, and hence, machine learning algorithms have been tested to provide a feasible classification of the possible errors present in the percussion caps.

  4. Training system for the maintenance of power lines of the distribution network, ALEn3D; Sistema para la capacitacion y entrenamiento para el mantenimiento de lineas de la red de distribucion, ALEn3D

    Energy Technology Data Exchange (ETDEWEB)

    Galvan Bobadilla, Israel; Perez Ramirez, Miguel; Ayala Garcia, Andres; Munoz Roman, Jaime Javier; Rodriguez Gallegos, Eric; Salgado Martinez, Marco Antonio [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico); Sierra Rodriguez, Benjamin [Comision Federal de Electricidad (Mexico)

    2011-07-01

    The maintenance of power lines is a complex activity with many inherent risks. Therefore, training of personnel in this area is a priority for electric energy companies. This article presents a capacity-building system based on virtual reality developed by the Federal Electric Commission (CFE), called ALEn3D. This allows maintenance technicians to train in risk-free interactive 3D environments and to later use that knowledge with an actual installation. The work was validated by expert electricians and, therefore, the system represents a wealth of knowledge and best practices for the maintenance of distribution lines. ALEn3D was designed as a tool for self capacity-building for adults, and therefore includes usability and e-learning elements to facilitate learning and automate the students' ongoing progress. The system can be run by a personal computer, is low-cost, optimized and user friendly. It is being used in the 16 distribution divisions of the CFE. [Spanish] El mantenimiento en lineas energizadas es un actividad compleja y con muchos riesgos inherentes, por lo que la capacitacion del personal en esta area es una prioridad para las empresas de energia electrica. Este articulo presenta un sistema de capacitacion basado en realidad virtual desarrollado para la Comision Federal de Electricidad (CFE), denominado ALEn3D, el cual permite a los tecnicos de mantenimiento capacitarse en ambientes 3D interactivos libes de riesgos, para posteriormente usar esos conocimientos en una instalacion real. El trabajo fue validado por expertos electricistas, por lo tanto, el sistema es un acervo de conocimientos y mejores practicas del mantenimiento a lineas de distribucion. ALEn3D fue disenado como una herramienta de autocapacitacion para adultos, por lo que se incluyeron aspectos de usabilidad y e-learning que facilitan el aprendizaje y automatizan el seguimiento del estudiante. El sistema puede ser ejecutado en una computadora personal y es utilizado en las 16

  5. E3D, 3-D Elastic Seismic Wave Propagation Code

    International Nuclear Information System (INIS)

    Larsen, S.; Harris, D.; Schultz, C.; Maddix, D.; Bakowsky, T.; Bent, L.

    2004-01-01

    1 - Description of program or function: E3D is capable of simulating seismic wave propagation in a 3D heterogeneous earth. Seismic waves are initiated by earthquake, explosive, and/or other sources. These waves propagate through a 3D geologic model, and are simulated as synthetic seismograms or other graphical output. 2 - Methods: The software simulates wave propagation by solving the elasto-dynamic formulation of the full wave equation on a staggered grid. The solution scheme is 4-order accurate in space, 2-order accurate in time

  6. Management control and the decentralization of R&D

    NARCIS (Netherlands)

    Ecker, B.; van Triest, S.; Williams, C.

    2013-01-01

    The authors investigate organizational conditions influencing the allocation of decision rights made by headquarters of multinational corporations (MNCs) to their foreign R&D subsidiaries. The authors draw on the logic of management control theory to build their conceptual model and then develop

  7. Innovations in 3D printing: a 3D overview from optics to organs.

    Science.gov (United States)

    Schubert, Carl; van Langeveld, Mark C; Donoso, Larry A

    2014-02-01

    3D printing is a method of manufacturing in which materials, such as plastic or metal, are deposited onto one another in layers to produce a three dimensional object, such as a pair of eye glasses or other 3D objects. This process contrasts with traditional ink-based printers which produce a two dimensional object (ink on paper). To date, 3D printing has primarily been used in engineering to create engineering prototypes. However, recent advances in printing materials have now enabled 3D printers to make objects that are comparable with traditionally manufactured items. In contrast with conventional printers, 3D printing has the potential to enable mass customisation of goods on a large scale and has relevance in medicine including ophthalmology. 3D printing has already been proved viable in several medical applications including the manufacture of eyeglasses, custom prosthetic devices and dental implants. In this review, we discuss the potential for 3D printing to revolutionise manufacturing in the same way as the printing press revolutionised conventional printing. The applications and limitations of 3D printing are discussed; the production process is demonstrated by producing a set of eyeglass frames from 3D blueprints.

  8. Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting.

    Science.gov (United States)

    Ryan, Justin R; Almefty, Kaith K; Nakaji, Peter; Frakes, David H

    2016-04-01

    Neurosurgery simulator development is growing as practitioners recognize the need for improved instructional and rehearsal platforms to improve procedural skills and patient care. In addition, changes in practice patterns have decreased the volume of specific cases, such as aneurysm clippings, which reduces the opportunity for operating room experience. The authors developed a hands-on, dimensionally accurate model for aneurysm clipping using patient-derived anatomic data and three-dimensional (3D) printing. Design of the model focused on reproducibility as well as adaptability to new patient geometry. A modular, reproducible, and patient-derived medical simulacrum was developed for medical learners to practice aneurysmal clipping procedures. Various forms of 3D printing were used to develop a geometrically accurate cranium and vascular tree featuring 9 patient-derived aneurysms. 3D printing in conjunction with elastomeric casting was leveraged to achieve a patient-derived brain model with tactile properties not yet available from commercial 3D printing technology. An educational pilot study was performed to gauge simulation efficacy. Through the novel manufacturing process, a patient-derived simulacrum was developed for neurovascular surgical simulation. A follow-up qualitative study suggests potential to enhance current educational programs; assessments support the efficacy of the simulacrum. The proposed aneurysm clipping simulator has the potential to improve learning experiences in surgical environment. 3D printing and elastomeric casting can produce patient-derived models for a dynamic learning environment that add value to surgical training and preparation. Copyright © 2016 Elsevier Inc. All rights reserved.

  9. Flatbed-type 3D display systems using integral imaging method

    Science.gov (United States)

    Hirayama, Yuzo; Nagatani, Hiroyuki; Saishu, Tatsuo; Fukushima, Rieko; Taira, Kazuki

    2006-10-01

    We have developed prototypes of flatbed-type autostereoscopic display systems using one-dimensional integral imaging method. The integral imaging system reproduces light beams similar of those produced by a real object. Our display architecture is suitable for flatbed configurations because it has a large margin for viewing distance and angle and has continuous motion parallax. We have applied our technology to 15.4-inch displays. We realized horizontal resolution of 480 with 12 parallaxes due to adoption of mosaic pixel arrangement of the display panel. It allows viewers to see high quality autostereoscopic images. Viewing the display from angle allows the viewer to experience 3-D images that stand out several centimeters from the surface of the display. Mixed reality of virtual 3-D objects and real objects are also realized on a flatbed display. In seeking reproduction of natural 3-D images on the flatbed display, we developed proprietary software. The fast playback of the CG movie contents and real-time interaction are realized with the aid of a graphics card. Realization of the safety 3-D images to the human beings is very important. Therefore, we have measured the effects on the visual function and evaluated the biological effects. For example, the accommodation and convergence were measured at the same time. The various biological effects are also measured before and after the task of watching 3-D images. We have found that our displays show better results than those to a conventional stereoscopic display. The new technology opens up new areas of application for 3-D displays, including arcade games, e-learning, simulations of buildings and landscapes, and even 3-D menus in restaurants.

  10. On Alternative Approaches to 3D Image Perception: Monoscopic 3D Techniques

    Science.gov (United States)

    Blundell, Barry G.

    2015-06-01

    In the eighteenth century, techniques that enabled a strong sense of 3D perception to be experienced without recourse to binocular disparities (arising from the spatial separation of the eyes) underpinned the first significant commercial sales of 3D viewing devices and associated content. However following the advent of stereoscopic techniques in the nineteenth century, 3D image depiction has become inextricably linked to binocular parallax and outside the vision science and arts communities relatively little attention has been directed towards earlier approaches. Here we introduce relevant concepts and terminology and consider a number of techniques and optical devices that enable 3D perception to be experienced on the basis of planar images rendered from a single vantage point. Subsequently we allude to possible mechanisms for non-binocular parallax based 3D perception. Particular attention is given to reviewing areas likely to be thought-provoking to those involved in 3D display development, spatial visualization, HCI, and other related areas of interdisciplinary research.

  11. 3D Modelling and Printing Technology to Produce Patient-Specific 3D Models.

    Science.gov (United States)

    Birbara, Nicolette S; Otton, James M; Pather, Nalini

    2017-11-10

    A comprehensive knowledge of mitral valve (MV) anatomy is crucial in the assessment of MV disease. While the use of three-dimensional (3D) modelling and printing in MV assessment has undergone early clinical evaluation, the precision and usefulness of this technology requires further investigation. This study aimed to assess and validate 3D modelling and printing technology to produce patient-specific 3D MV models. A prototype method for MV 3D modelling and printing was developed from computed tomography (CT) scans of a plastinated human heart. Mitral valve models were printed using four 3D printing methods and validated to assess precision. Cardiac CT and 3D echocardiography imaging data of four MV disease patients was used to produce patient-specific 3D printed models, and 40 cardiac health professionals (CHPs) were surveyed on the perceived value and potential uses of 3D models in a clinical setting. The prototype method demonstrated submillimetre precision for all four 3D printing methods used, and statistical analysis showed a significant difference (p3D printed models, particularly using multiple print materials, were considered useful by CHPs for preoperative planning, as well as other applications such as teaching and training. This study suggests that, with further advances in 3D modelling and printing technology, patient-specific 3D MV models could serve as a useful clinical tool. The findings also highlight the potential of this technology to be applied in a variety of medical areas within both clinical and educational settings. Copyright © 2017 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.

  12. Post-operative 3D CT feedback improves accuracy and precision in the learning curve of anatomic ACL femoral tunnel placement.

    Science.gov (United States)

    Sirleo, Luigi; Innocenti, Massimo; Innocenti, Matteo; Civinini, Roberto; Carulli, Christian; Matassi, Fabrizio

    2018-02-01

    To evaluate the feedback from post-operative three-dimensional computed tomography (3D-CT) on femoral tunnel placement in the learning process, to obtain an anatomic anterior cruciate ligament (ACL) reconstruction. A series of 60 consecutive patients undergoing primary ACL reconstruction using autologous hamstrings single-bundle outside-in technique were prospectively included in the study. ACL reconstructions were performed by the same trainee-surgeon during his learning phase of anatomic ACL femoral tunnel placement. A CT scan with dedicated tunnel study was performed in all patients within 48 h after surgery. The data obtained from the CT scan were processed into a three-dimensional surface model, and a true medial view of the lateral femoral condyle was used for the femoral tunnel placement analysis. Two independent examiners analysed the tunnel placements. The centre of femoral tunnel was measured using a quadrant method as described by Bernard and Hertel. The coordinates measured were compared with anatomic coordinates values described in the literature [deep-to-shallow distance (X-axis) 28.5%; high-to-low distance (Y-axis) 35.2%]. Tunnel placement was evaluated in terms of accuracy and precision. After each ACL reconstruction, results were shown to the surgeon to receive an instant feedback in order to achieve accurate correction and improve tunnel placement for the next surgery. Complications and arthroscopic time were also recorded. Results were divided into three consecutive series (1, 2, 3) of 20 patients each. A trend to placing femoral tunnel slightly shallow in deep-to-shallow distance and slightly high in high-to-low distance was observed in the first and the second series. A progressive improvement in tunnel position was recorded from the first to second series and from the second to the third series. Both accuracy (+52.4%) and precision (+55.7%) increased from the first to the third series (p process to improve accuracy and precision of femoral

  13. FIJI Macro 3D ART VeSElecT: 3D Automated Reconstruction Tool for Vesicle Structures of Electron Tomograms.

    Directory of Open Access Journals (Sweden)

    Kristin Verena Kaltdorf

    2017-01-01

    Full Text Available Automatic image reconstruction is critical to cope with steadily increasing data from advanced microscopy. We describe here the Fiji macro 3D ART VeSElecT which we developed to study synaptic vesicles in electron tomograms. We apply this tool to quantify vesicle properties (i in embryonic Danio rerio 4 and 8 days past fertilization (dpf and (ii to compare Caenorhabditis elegans N2 neuromuscular junctions (NMJ wild-type and its septin mutant (unc-59(e261. We demonstrate development-specific and mutant-specific changes in synaptic vesicle pools in both models. We confirm the functionality of our macro by applying our 3D ART VeSElecT on zebrafish NMJ showing smaller vesicles in 8 dpf embryos then 4 dpf, which was validated by manual reconstruction of the vesicle pool. Furthermore, we analyze the impact of C. elegans septin mutant unc-59(e261 on vesicle pool formation and vesicle size. Automated vesicle registration and characterization was implemented in Fiji as two macros (registration and measurement. This flexible arrangement allows in particular reducing false positives by an optional manual revision step. Preprocessing and contrast enhancement work on image-stacks of 1nm/pixel in x and y direction. Semi-automated cell selection was integrated. 3D ART VeSElecT removes interfering components, detects vesicles by 3D segmentation and calculates vesicle volume and diameter (spherical approximation, inner/outer diameter. Results are collected in color using the RoiManager plugin including the possibility of manual removal of non-matching confounder vesicles. Detailed evaluation considered performance (detected vesicles and specificity (true vesicles as well as precision and recall. We furthermore show gain in segmentation and morphological filtering compared to learning based methods and a large time gain compared to manual segmentation. 3D ART VeSElecT shows small error rates and its speed gain can be up to 68 times faster in comparison to manual

  14. Procedure for preparation of 3-fluor-D-alanine, 2-deutero-3-fluor-D-alanine and 2,3,3-trideutero-3-fluor-D-alanine and their salts

    International Nuclear Information System (INIS)

    Kollonitsch, J.; Kahan, F.M.

    1971-01-01

    Procedures for the preparation of 3-fluor-D-alanine, 2-deutero-3-fluor-D-alanine and 2,3,3-trideutero-3-fluor-D-alanine, and salts of these compounds, are described. These new compounds are useful antibacterial substances not only applicable in the disinfection of pharmaceutical, dental and medical equipment, but also in the treatment of diseases caused by bacteria, and may be administered orally. While 3-fluor-L-alanine metabolises rapidly with toxic results, 3-fluor-D-alanine is much more slowly broken down in vivo and is not harmful in normal doses. Further it has been found that deuteration gives new deutero-analogues which are less subject to metabolic breaking down and still retain the antibacterial strength of the original compound. The in vivo activity is thereby increased and maintained. (JIW)

  15. EEG-based cognitive load of processing events in 3D virtual worlds is lower than processing events in 2D displays.

    Science.gov (United States)

    Dan, Alex; Reiner, Miriam

    2017-12-01

    Interacting with 2D displays, such as computer screens, smartphones, and TV, is currently a part of our daily routine; however, our visual system is built for processing 3D worlds. We examined the cognitive load associated with a simple and a complex task of learning paper-folding (origami) by observing 2D or stereoscopic 3D displays. While connected to an electroencephalogram (EEG) system, participants watched a 2D video of an instructor demonstrating the paper-folding tasks, followed by a stereoscopic 3D projection of the same instructor (a digital avatar) illustrating identical tasks. We recorded the power of alpha and theta oscillations and calculated the cognitive load index (CLI) as the ratio of the average power of frontal theta (Fz.) and parietal alpha (Pz). The results showed a significantly higher cognitive load index associated with processing the 2D projection as compared to the 3D projection; additionally, changes in the average theta Fz power were larger for the 2D conditions as compared to the 3D conditions, while alpha average Pz power values were similar for 2D and 3D conditions for the less complex task and higher in the 3D state for the more complex task. The cognitive load index was lower for the easier task and higher for the more complex task in 2D and 3D. In addition, participants with lower spatial abilities benefited more from the 3D compared to the 2D display. These findings have implications for understanding cognitive processing associated with 2D and 3D worlds and for employing stereoscopic 3D technology over 2D displays in designing emerging virtual and augmented reality applications. Copyright © 2016 Elsevier B.V. All rights reserved.

  16. 3D CAD model of the subcritical nuclear reactor of IPN; Modelo CAD 3D del reactor nuclear subcritico del IPN

    Energy Technology Data Exchange (ETDEWEB)

    Pahuamba V, F. de J.; Delfin L, A.; Gomez T, A. [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico); Ibarra R, G.; Del Valle G, E.; Sanchez R, A., E-mail: narehc@hotmail.com [IPN, Escuela Superior de Fisica y Matematicas, Av. IPN, Edif. 9, Unidad Profesional Adolfo Lopez Mateos, San Pedro Zacatenco, 07738 Ciudad de Mexico (Mexico)

    2016-09-15

    The three-dimensional (3D) CAD model of the subcritical reactor Chicago model 9000 of Instituto Politecnico Nacional (IPN) allows obtaining a 3D view with the dimensions of each of its components, such as: natural uranium cylindrical rods, fuel elements, hexagonal reactor core arrangement, cylindrical stainless steel tank containing the core, fuel element support grids and reactor water cleaning system. As a starting point for the development of the model, the Chicago model 9000 subcritical reactor manual provided by the manufacturer was used, the measurement and verification of the components to adapt the geometric, physical and mechanical characteristics was carried out and materials standards were used to obtain a design that allows to elaborate a new manual according to the specifications. In addition, the 3D models of the building of the Advanced Physics Laboratory, neutron generator, cobalt source and the corridors connecting to the subcritical reactor facility were developed, allowing an animated ride, developed by computer-aided design software. The manual provided by the company Nuclear Chicago, dates from the year 1959 and presents diverse deviations in the design and dimensions of the reactor components. The model developed; in addition to supporting the development of the new manual represents a learning tool to visualize the reactor components. (Author)

  17. Accurate and reproducible reconstruction of coronary arteries and endothelial shear stress calculation using 3D OCT: comparative study to 3D IVUS and 3D QCA.

    Science.gov (United States)

    Toutouzas, Konstantinos; Chatzizisis, Yiannis S; Riga, Maria; Giannopoulos, Andreas; Antoniadis, Antonios P; Tu, Shengxian; Fujino, Yusuke; Mitsouras, Dimitrios; Doulaverakis, Charalampos; Tsampoulatidis, Ioannis; Koutkias, Vassilis G; Bouki, Konstantina; Li, Yingguang; Chouvarda, Ioanna; Cheimariotis, Grigorios; Maglaveras, Nicos; Kompatsiaris, Ioannis; Nakamura, Sunao; Reiber, Johan H C; Rybicki, Frank; Karvounis, Haralambos; Stefanadis, Christodoulos; Tousoulis, Dimitris; Giannoglou, George D

    2015-06-01

    Geometrically-correct 3D OCT is a new imaging modality with the potential to investigate the association of local hemodynamic microenvironment with OCT-derived high-risk features. We aimed to describe the methodology of 3D OCT and investigate the accuracy, inter- and intra-observer agreement of 3D OCT in reconstructing coronary arteries and calculating ESS, using 3D IVUS and 3D QCA as references. 35 coronary artery segments derived from 30 patients were reconstructed in 3D space using 3D OCT. 3D OCT was validated against 3D IVUS and 3D QCA. The agreement in artery reconstruction among 3D OCT, 3D IVUS and 3D QCA was assessed in 3-mm-long subsegments using lumen morphometry and ESS parameters. The inter- and intra-observer agreement of 3D OCT, 3D IVUS and 3D QCA were assessed in a representative sample of 61 subsegments (n = 5 arteries). The data processing times for each reconstruction methodology were also calculated. There was a very high agreement between 3D OCT vs. 3D IVUS and 3D OCT vs. 3D QCA in terms of total reconstructed artery length and volume, as well as in terms of segmental morphometric and ESS metrics with mean differences close to zero and narrow limits of agreement (Bland-Altman analysis). 3D OCT exhibited excellent inter- and intra-observer agreement. The analysis time with 3D OCT was significantly lower compared to 3D IVUS. Geometrically-correct 3D OCT is a feasible, accurate and reproducible 3D reconstruction technique that can perform reliable ESS calculations in coronary arteries. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  18. 3rd international KES conference on Smart Education and Smart e-Learning

    CERN Document Server

    Howlett, Robert; Jain, Lakhmi

    2016-01-01

    This book contains the contributions presented at the 3rd international KES conference on Smart Education and Smart e-Learning, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016. It contains a total of 56 peer-reviewed book chapters that are grouped into several parts: Part 1 - Smart University: Conceptual Modeling, Part 2 – Smart Education: Research and Case Studies, Part 3 – Smart e-Learning, Part 4 – Smart Education: Software and Hardware Systems, and Part 5 – Smart Technology as a Resource to Improve Education and Professional Training. We believe that the book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators, and practitioners - those who are interested in innovative areas of smart education and smart e-learning. .

  19. The 3d8-(3d74p + 3p53d9) transitions in Br X: A striking case of configuration interaction

    International Nuclear Information System (INIS)

    Kleef, T.A.M. van; Uylings, P.H.M.; Ryabtsev, A.N.; Podobedova, L.I.; Joshi, Y.N.

    1988-01-01

    The spectrum of nine times ionized bromine (Br X) was photographed in the 90-120 A wavelength region on a variety of grazing incidence spectrographs using an open spark and a triggered spark as light sources. The analysis of the 3d 8 -(3d 7 4p + 3p 5 3d 9 ) transitions has resulted in establishing all 9 levels of the 3d 8 configuration, all 12 levels of the 3p 5 3d 9 configuration and 99 out of 110 levels of the 3d 7 4p configuration. The excitation probability of the 3p inner-shell electron increases with nuclear charge and in Br X is comparable with the excitation probability of the optical electrons resulting in a very strong configuration interaction between the 3p 5 3d 9 and 3d 7 4p configurations. Parametric calculations treating these configurations as one super configuration support the analysis. Two hundred and thirty two lines have been classified in this spectrum. (orig.)

  20. Supplemental Environmental Assessment for the Mid-Bay Bridge Connector Phases 2 and 3, Eglin Air Force Base, Florida

    Science.gov (United States)

    2010-08-03

    D. Rodriigue;c 96 CEGICEVS PEPARTMENT OF THE AWR FORCE HEADQUARTERS 96TH AIR &ASE WING (AFMC) EGUN AJR FORCE BASE, FLORIDA 501 Deleon Stteet...Supplemental Environmental Assessment Maria D. Rodriguez 96CEG/CEVS DEPARTMENT OF THE AiR FORCE HEADQUARTERS 96Tit AIR BASE WING (I’ fMC) EGUN AIR FORCE...BASE WING (AFMC) EGUN AIR fORCE BASE, FLORIDA Historic Preservation Specialist Old Post Office Building 1100 Pennsylvania Avenue, NW, Suite 803

  1. Comparative evaluation of HD 2D/3D laparoscopic monitors and benchmarking to a theoretically ideal 3D pseudodisplay: even well-experienced laparoscopists perform better with 3D.

    Science.gov (United States)

    Wilhelm, D; Reiser, S; Kohn, N; Witte, M; Leiner, U; Mühlbach, L; Ruschin, D; Reiner, W; Feussner, H

    2014-08-01

    Though theoretically superior to standard 2D visualization, 3D video systems have not yet achieved a breakthrough in laparoscopy. The latest 3D monitors, including autostereoscopic displays and high-definition (HD) resolution, are designed to overcome the existing limitations. We performed a randomized study on 48 individuals with different experience levels in laparoscopy. Three different 3D displays (glasses-based 3D monitor, autostereoscopic display, and a mirror-based theoretically ideal 3D display) were compared to a 2D HD display by assessing multiple performance and mental workload parameters and rating the subjects during a laparoscopic suturing task. Electromagnetic tracking provided information on the instruments' pathlength, movement velocity, and economy. The usability, the perception of visual discomfort, and the quality of image transmission of each monitor were subjectively rated. Almost all performance parameters were superior with the conventional glasses-based 3D display compared to the 2D display and the autostereoscopic display, but were often significantly exceeded by the mirror-based 3D display. Subjects performed a task faster and with greater precision when visualization was achieved with the 3D and the mirror-based display. Instrument pathlength was shortened by improved depth perception. Workload parameters (NASA TLX) did not show significant differences. Test persons complained of impaired vision while using the autostereoscopic monitor. The 3D and 2D displays were rated user-friendly and applicable in daily work. Experienced and inexperienced laparoscopists profited equally from using a 3D display, with an improvement in task performance about 20%. Novel 3D displays improve laparoscopic interventions as a result of faster performance and higher precision without causing a higher mental workload. Therefore, they have the potential to significantly impact the further development of minimally invasive surgery. However, as shown by the

  2. Minimally invasive vascular imaging using 3D-CTA and 3D-MRA. Update

    International Nuclear Information System (INIS)

    Hayashi, Hiromitsu; Kawamata, Hiroshi; Takagi, Ryo; Amano, Yasuo; Wakabayashi, Hiroyuki; Ichikawa, Kazuo; Kumazaki, Tatsuo

    1998-01-01

    Conventional angiography is considered the standard of reference for diagnostic imaging of vascular diseases with respect to its temporal and spatial resolution. This procedure, however is invasive and repeated studies are difficult, and arterial complications are occasionally associated in catheter-based conventional angiography. Recent advances in diagnostic imaging have facilitated three-dimensional CT angiography (3D-CTA) using the volumetric acquisition capabilities inherent in spiral CT and three-dimensional MR angiography (3D-MRA) using the 3D gradient-echo sequence with a bolus injection of Gd-DTPA. These techniques can provide vascular images exceedingly similar to conventional angiograms within a short acquisition time. 3D-CTA and 3D-MRA are considered to be promising, minimally invasive methods for obtaining images of the vasculature, and alternatives to catheter angiography. This study reviews the current status of 3D-CTA and 3D-MRA, with emphasis on the clinical usefulness of three-dimensional diagnostic imaging for the evaluation of diverse vascular pathologies. (author)

  3. 3dRPC: a web server for 3D RNA-protein structure prediction.

    Science.gov (United States)

    Huang, Yangyu; Li, Haotian; Xiao, Yi

    2018-04-01

    RNA-protein interactions occur in many biological processes. To understand the mechanism of these interactions one needs to know three-dimensional (3D) structures of RNA-protein complexes. 3dRPC is an algorithm for prediction of 3D RNA-protein complex structures and consists of a docking algorithm RPDOCK and a scoring function 3dRPC-Score. RPDOCK is used to sample possible complex conformations of an RNA and a protein by calculating the geometric and electrostatic complementarities and stacking interactions at the RNA-protein interface according to the features of atom packing of the interface. 3dRPC-Score is a knowledge-based potential that uses the conformations of nucleotide-amino-acid pairs as statistical variables and that is used to choose the near-native complex-conformations obtained from the docking method above. Recently, we built a web server for 3dRPC. The users can easily use 3dRPC without installing it locally. RNA and protein structures in PDB (Protein Data Bank) format are the only needed input files. It can also incorporate the information of interface residues or residue-pairs obtained from experiments or theoretical predictions to improve the prediction. The address of 3dRPC web server is http://biophy.hust.edu.cn/3dRPC. yxiao@hust.edu.cn.

  4. Vitamin D3 increases in abdominal subcutaneous fat tissue after supplementation with vitamin D3

    DEFF Research Database (Denmark)

    Didriksen, Allan; Burild, Anders; Jakobsen, Jette

    2015-01-01

    stored in all adipose tissue in the body, the median body store was 6.6 mg vitamin D-3 and 0.12 mg 25(OH)D-3 in those given vitamin D-3. Conclusions: Subcutaneous adipose tissue may store large amounts of vitamin D-3. The clinical importance of this storage needs to be determined.......Objective: The objective was to assess the amount of vitamin D-3 stored in adipose tissue after long-term supplementation with high dose vitamin D-3. Design: A cross-sectional study on 29 subjects with impaired glucose tolerance who had participated in a randomized controlled trial with vitamin D-3...... 20 000 IU (500 mu g) per week vs placebo for 3-5 years. Methods: Abdominal subcutaneous fat tissue was obtained by needle biopsy for the measurements of vitamin D-3 and 25-hydroxyvitamin D-3 (25(OH)D-3). Body fat was measured with dual-energy X-ray absorptiometry, and serum 25(OH)D-3 level...

  5. 3D analysis of semiconductor devices: A combination of 3D imaging and 3D elemental analysis

    Science.gov (United States)

    Fu, Bianzhu; Gribelyuk, Michael A.

    2018-04-01

    3D analysis of semiconductor devices using a combination of scanning transmission electron microscopy (STEM) Z-contrast tomography and energy dispersive spectroscopy (EDS) elemental tomography is presented. 3D STEM Z-contrast tomography is useful in revealing the depth information of the sample. However, it suffers from contrast problems between materials with similar atomic numbers. Examples of EDS elemental tomography are presented using an automated EDS tomography system with batch data processing, which greatly reduces the data collection and processing time. 3D EDS elemental tomography reveals more in-depth information about the defect origin in semiconductor failure analysis. The influence of detector shadowing and X-rays absorption on the EDS tomography's result is also discussed.

  6. Playable Stories: Making Programming and 3D Role-Playing Game Design Personally and Socially Relevant

    Science.gov (United States)

    Ingram-Goble, Adam

    2013-01-01

    This is an exploratory design study of a novel system for learning programming and 3D role-playing game design as tools for social change. This study was conducted at two sites. Participants in the study were ages 9-14 and worked for up to 15 hours with the platform to learn how to program and design video games with personally or socially…

  7. Faster acquisition of laparoscopic skills in virtual reality with haptic feedback and 3D vision.

    Science.gov (United States)

    Hagelsteen, Kristine; Langegård, Anders; Lantz, Adam; Ekelund, Mikael; Anderberg, Magnus; Bergenfelz, Anders

    2017-10-01

    The study investigated whether 3D vision and haptic feedback in combination in a virtual reality environment leads to more efficient learning of laparoscopic skills in novices. Twenty novices were allocated to two groups. All completed a training course in the LapSim ® virtual reality trainer consisting of four tasks: 'instrument navigation', 'grasping', 'fine dissection' and 'suturing'. The study group performed with haptic feedback and 3D vision and the control group without. Before and after the LapSim ® course, the participants' metrics were recorded when tying a laparoscopic knot in the 2D video box trainer Simball ® Box. The study group completed the training course in 146 (100-291) minutes compared to 215 (175-489) minutes in the control group (p = .002). The number of attempts to reach proficiency was significantly lower. The study group had significantly faster learning of skills in three out of four individual tasks; instrument navigation, grasping and suturing. Using the Simball ® Box, no difference in laparoscopic knot tying after the LapSim ® course was noted when comparing the groups. Laparoscopic training in virtual reality with 3D vision and haptic feedback made training more time efficient and did not negatively affect later video box-performance in 2D. [Formula: see text].

  8. Vitamin D-3 and 25-hydroxyvitamin D-3 in raw and cooked pork cuts

    DEFF Research Database (Denmark)

    Clausen, Ina; Jakobsen, Jette; Leth, Torben

    2003-01-01

    The contents of vitamin D-3 and its metabolically active metabolite 25-hydroxyvitamin D-3 (25OHD(3)) were examined by HPLC in different parts of four common raw pork cuts (loin boneless, leg inside, thin belly, neck) and in cooked meat (loin boneless). In whole raw pork cuts, varying in fat content......, and that rind, despite its limited fat content, has a high concentration of vitamin D-3 and 25OHD(3). Cooking increased vitamin D-3 and 25OHD(3) calculated per 100 g of tissue in all parts and in the whole cut (in whole cuts in raw and cooked meat, respectively: vitamin D-3: 0.15 (0.08-0.24) mug/100 g and 0...... 25OHD(3) contributes significantly to vitamin D activity. Food databases should include concentrations of both vitamin D and 25OHD(3). (C) 2003 Elsevier Ltd. All rights reserved....

  9. Making Things See 3D vision with Kinect, Processing, Arduino, and MakerBot

    CERN Document Server

    Borenstein, Greg

    2012-01-01

    This detailed, hands-on guide provides the technical and conceptual information you need to build cool applications with Microsoft's Kinect, the amazing motion-sensing device that enables computers to see. Through half a dozen meaty projects, you'll learn how to create gestural interfaces for software, use motion capture for easy 3D character animation, 3D scanning for custom fabrication, and many other applications. Perfect for hobbyists, makers, artists, and gamers, Making Things See shows you how to build every project with inexpensive off-the-shelf components, including the open source P

  10. Structure of the Human Dopamine D3 Receptor in Complex with a D2/D3 Selective Antagonist

    Energy Technology Data Exchange (ETDEWEB)

    Chien, Ellen Y.T.; Liu, Wei; Zhao, Qiang; Katritch, Vsevolod; Han, Gye Won; Hanson, Michael A.; Shi, Lei; Newman, Amy Hauck; Javitch, Jonathan A.; Cherezov, Vadim; Stevens, Raymond C. (Cornell); (Scripps); (NIDA); (Columbia); (UCSD); (Receptos)

    2010-11-30

    Dopamine modulates movement, cognition, and emotion through activation of dopamine G protein-coupled receptors in the brain. The crystal structure of the human dopamine D3 receptor (D3R) in complex with the small molecule D2R/D3R-specific antagonist eticlopride reveals important features of the ligand binding pocket and extracellular loops. On the intracellular side of the receptor, a locked conformation of the ionic lock and two distinctly different conformations of intracellular loop 2 are observed. Docking of R-22, a D3R-selective antagonist, reveals an extracellular extension of the eticlopride binding site that comprises a second binding pocket for the aryl amide of R-22, which differs between the highly homologous D2R and D3R. This difference provides direction to the design of D3R-selective agents for treating drug abuse and other neuropsychiatric indications.

  11. Applying internet based 3D visualisation and priority games in public consultation

    DEFF Research Database (Denmark)

    Hansen, Henning Sten; Kristensen, Peter Nordskov

    2006-01-01

    the new Limfjorden connection was very sensitive. Many people have already taken their decision without detailed knowledge about the alternatives. All descriptions and assessments of the project we published on the Internet. The aim was to give all the citizens the best possible background for being...... of the respondents had tried the 3D visualisation (flight simulator) of the various alternatives. One characteristic of interactive participatory planning is feedback and learning, and therefore the County decided to develop a priority game to support the learning process. However, according to the survey...

  12. Open 3D Projects

    Directory of Open Access Journals (Sweden)

    Felician ALECU

    2010-01-01

    Full Text Available Many professionals and 3D artists consider Blender as being the best open source solution for 3D computer graphics. The main features are related to modeling, rendering, shading, imaging, compositing, animation, physics and particles and realtime 3D/game creation.

  13. Modification of 3D milling machine to 3D printer

    OpenAIRE

    Taska, Abraham

    2014-01-01

    Tato práce se zabývá přestavbou gravírovací frézky na 3D tiskárnu. V první části se práce zabývá možnými technologiemi 3D tisku a možností jejich využití u přestavby. Dále jsou popsány a vybrány vhodné součásti pro přestavbu. V další části je realizováno řízení ohřevu podložky, trysky a řízení posuvu drátu pomocí softwaru TwinCat od společnosti Beckhoff na průmyslovém počítači. Výsledkem práce by měla být oživená 3D tiskárna. This thesis deals with rebuilding of engraving machine to 3D pri...

  14. 3D Printing as a Didactic Tool for Teaching some Engineering and Design Concepts

    Directory of Open Access Journals (Sweden)

    Edwin Blasnilo Rua Ramirez

    2018-01-01

    Full Text Available Context: 3D printing can be used for a wide range of tasks such as the design and testing of prototypes and finished products in a shorter time. In mechanical engineering, prototype designs are continuously generated in academic class activities and final coursework projects by students and teachers. However, students show limitations while understanding the abstract concepts represented with such designs. Method: Firstly, a large scale 3D printer with improved technical specifications compared to traditional market options and similar price, was fabricated. By means of free software and hardware tools and easy-to-obtain alternative manufacturing materials, it was possible to decrease its manufacturing and operating costs. Then a set of study cases utilising the 3D printer in three different subject classes were designed and tested with two cohorts of students of Mechanical Engineering programme. Results: It was feasible to fabricate a cost-effective and practical 3D printer for constructing prototypes and pieces that benefit teaching and learning concepts in engineering and design areas. The experiments carried out in three subjects of engineering courses with second-year students, showed a similar trend of improving the average course grades, as it was observed in two cohorts in different terms. Conclusions: This type of low cost 3D printer obtained academic advantages as a didactic tool for the learning process in engineering and design subjects. Future work will consider applying this tool to other courses and subjects to further evaluate its convenience and effectivity.

  15. Anti-3D Weapon Model Detection for Safe 3D Printing Based on Convolutional Neural Networks and D2 Shape Distribution

    Directory of Open Access Journals (Sweden)

    Giao N. Pham

    2018-03-01

    Full Text Available With the development of 3D printing, weapons are easily printed without any restriction from the production managers. Therefore, anti-3D weapon model detection is necessary issue in safe 3D printing to prevent the printing of 3D weapon models. In this paper, we would like to propose an anti-3D weapon model detection algorithm to prevent the printing of anti-3D weapon models for safe 3D printing based on the D2 shape distribution and an improved convolutional neural networks (CNNs. The purpose of the proposed algorithm is to detect anti-3D weapon models when they are used in 3D printing. The D2 shape distribution is computed from random points on the surface of a 3D weapon model and their geometric features in order to construct a D2 vector. The D2 vector is then trained by improved CNNs. The CNNs are used to detect anti-3D weapon models for safe 3D printing by training D2 vectors which have been constructed from the D2 shape distribution of 3D weapon models. Experiments with 3D weapon models proved that the D2 shape distribution of 3D weapon models in the same class is the same. Training and testing results also verified that the accuracy of the proposed algorithm is higher than the conventional works. The proposed algorithm is applied in a small application, and it could detect anti-3D weapon models for safe 3D printing.

  16. CASTLE3D - A Computer Aided System for Labelling Archaeological Excavations in 3D

    Science.gov (United States)

    Houshiar, H.; Borrmann, D.; Elseberg, J.; Nüchter, A.; Näth, F.; Winkler, S.

    2015-08-01

    Documentation of archaeological excavation sites with conventional methods and tools such as hand drawings, measuring tape and archaeological notes is time consuming. This process is prone to human errors and the quality of the documentation depends on the qualification of the archaeologist on site. Use of modern technology and methods in 3D surveying and 3D robotics facilitate and improve this process. Computer-aided systems and databases improve the documentation quality and increase the speed of data acquisition. 3D laser scanning is the state of the art in modelling archaeological excavation sites, historical sites and even entire cities or landscapes. Modern laser scanners are capable of data acquisition of up to 1 million points per second. This provides a very detailed 3D point cloud of the environment. 3D point clouds and 3D models of an excavation site provide a better representation of the environment for the archaeologist and for documentation. The point cloud can be used both for further studies on the excavation and for the presentation of results. This paper introduces a Computer aided system for labelling archaeological excavations in 3D (CASTLE3D). Consisting of a set of tools for recording and georeferencing the 3D data from an excavation site, CASTLE3D is a novel documentation approach in industrial archaeology. It provides a 2D and 3D visualisation of the data and an easy-to-use interface that enables the archaeologist to select regions of interest and to interact with the data in both representations. The 2D visualisation and a 3D orthogonal view of the data provide cuts of the environment that resemble the traditional hand drawings. The 3D perspective view gives a realistic view of the environment. CASTLE3D is designed as an easy-to-use on-site semantic mapping tool for archaeologists. Each project contains a predefined set of semantic information that can be used to label findings in the data. Multiple regions of interest can be joined under

  17. Do-It-Yourself: 3D Models of Hydrogenic Orbitals through 3D Printing

    Science.gov (United States)

    Griffith, Kaitlyn M.; de Cataldo, Riccardo; Fogarty, Keir H.

    2016-01-01

    Introductory chemistry students often have difficulty visualizing the 3-dimensional shapes of the hydrogenic electron orbitals without the aid of physical 3D models. Unfortunately, commercially available models can be quite expensive. 3D printing offers a solution for producing models of hydrogenic orbitals. 3D printing technology is widely…

  18. Beyond the ENDF format: A modern nuclear database structure. SG38 meeting, NEA Headquarters, 29-30 November 2012

    International Nuclear Information System (INIS)

    McNabb, D.; Zerkin, V.; Mattoon, C.; Koning, A.; Brown, D.; Leal, L.; Sublet, J.C.; Coste-Delclaux, M.; Capote, R.; Forrest, R.; Kodeli, I.; Trkov, A.; Beck, B.; Haeck, W.; Fukahori, T.; Mills, R.W.; White, M.C.; Cullen, D.E.

    2012-11-01

    WPEC subgroup 38 (SG38) was formed to develop a new structure for storing nuclear reaction data, that is meant to eventually replace ENDF-6 as the standard way to store and share evaluations. The work of SG38 covers the following tasks: Designing flexible, general-purpose data containers; Determining a logical and easy-to-understand top-level hierarchy for storing evaluated nuclear reaction data; Creating a particle database for storing particles, masses and level schemes; Specifying the infrastructure (plotting, processing, etc.) that must accompany the new structure; Developing an Application Programming Interface or API to allow other codes to access data stored in the new structure; Specifying what tests need to be implemented for quality assurance of the new structure and associated infrastructure; Ensuring documentation and governance of the structure and associated infrastructure. This document is the proceedings of the SG38 meeting, held at the NEA Headquarters on 29-30 November 2012. It comprises all the available presentations (slides) given by the participants as well as 3 reports: A - Welcome and Introduction: - Purpose and goals for SG38 (D. McNabb); - Lessons from ENDF, EXFOR and other formats (V. Zerkin); - Lessons from first LLNL attempt at defining a new nuclear data structure (C. Mattoon); - Example of "2"3"9Pu data B - Purpose of the new data structure: - GND: Purpose of the new data structure (A. Koning); - Purpose of the new data structure: Dave's Perspective (D. Brown); C - Nuclear Data System Overview: - ENDF File uses in AMPX (L. Leal); D - Benefits and requirements for data evaluation and processing: - Benefits and requirements (J.C. Sublet); - CEA/DEN contribution (M. Coste-Delclaux); - Proposals from the IAEA-NDS (V. Zerkin, R. Capote, R. Forrest); - User View on the ENDF Formats and Data Processing (I. Kodeli); - On the ENDF Formats and Data Processing - report (A. Trkov); E - Format perspective, organization and requirements for basic

  19. 3D motion graphics for 2D artists conquering the 3rd dimension

    CERN Document Server

    Byrne, Bill

    2011-01-01

    Add 3D to your mograph skillset! For the experienced 2D artist, this lavishly illustrated, 4 color book presents the essentials to building and compositing 3D elements into your 2D world of film and broadcast. Concepts and techniques are presented in concise, step-by-step tutorials, hundreds of which are featured throughout. Featured applications include Photoshop, Illustrator, After Effects, and Cinema 4D. Lessons include exploring the expanded 3D functionality of the Adobe Creative Suite applications (After Effects, Photoshop, and Illustrator) through a series of practical tutorials. More

  20. 3D Systems” ‘Stuck in the Middle’ of the 3D Printer Boom?

    NARCIS (Netherlands)

    A. Hoffmann (Alan)

    2014-01-01

    textabstract3D Systems, the pioneer of 3D printing, predicted a future where "kids from 8 to 80" could design and print their ideas at home. By 2013, 9 years after the creation of the first working 3D printer, there were more than 30 major 3D printing companies competing for market share. 3DS and

  1. FUN3D Manual: 13.3

    Science.gov (United States)

    Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.; hide

    2018-01-01

    This manual describes the installation and execution of FUN3D version 13.3, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.

  2. 3D deblending of simultaneous source data based on 3D multi-scale shaping operator

    Science.gov (United States)

    Zu, Shaohuan; Zhou, Hui; Mao, Weijian; Gong, Fei; Huang, Weilin

    2018-04-01

    We propose an iterative three-dimensional (3D) deblending scheme using 3D multi-scale shaping operator to separate 3D simultaneous source data. The proposed scheme is based on the property that signal is coherent, whereas interference is incoherent in some domains, e.g., common receiver domain and common midpoint domain. In two-dimensional (2D) blended record, the coherency difference of signal and interference is in only one spatial direction. Compared with 2D deblending, the 3D deblending can take more sparse constraints into consideration to obtain better performance, e.g., in 3D common receiver gather, the coherency difference is in two spatial directions. Furthermore, with different levels of coherency, signal and interference distribute in different scale curvelet domains. In both 2D and 3D blended records, most coherent signal locates in coarse scale curvelet domain, while most incoherent interference distributes in fine scale curvelet domain. The scale difference is larger in 3D deblending, thus, we apply the multi-scale shaping scheme to further improve the 3D deblending performance. We evaluate the performance of 3D and 2D deblending with the multi-scale and global shaping operators, respectively. One synthetic and one field data examples demonstrate the advantage of the 3D deblending with 3D multi-scale shaping operator.

  3. Underwater 3D filming

    Directory of Open Access Journals (Sweden)

    Roberto Rinaldi

    2014-12-01

    Full Text Available After an experimental phase of many years, 3D filming is now effective and successful. Improvements are still possible, but the film industry achieved memorable success on 3D movie’s box offices due to the overall quality of its products. Special environments such as space (“Gravity” and the underwater realm look perfect to be reproduced in 3D. “Filming in space” was possible in “Gravity” using special effects and computer graphic. The underwater realm is still difficult to be handled. Underwater filming in 3D was not that easy and effective as filming in 2D, since not long ago. After almost 3 years of research, a French, Austrian and Italian team realized a perfect tool to film underwater, in 3D, without any constrains. This allows filmmakers to bring the audience deep inside an environment where they most probably will never have the chance to be.

  4. 3D histomorphometric quantification from 3D computed tomography

    International Nuclear Information System (INIS)

    Oliveira, L.F. de; Lopes, R.T.

    2004-01-01

    The histomorphometric analysis is based on stereologic concepts and was originally applied to biologic samples. This technique has been used to evaluate different complex structures such as ceramic filters, net structures and cancellous objects that are objects with inner connected structures. The measured histomorphometric parameters of structure are: sample volume to total reconstructed volume (BV/TV), sample surface to sample volume (BS/BV), connection thickness (Tb Th ), connection number (Tb N ) and connection separation (Tb Sp ). The anisotropy was evaluated as well. These parameters constitute the base of histomorphometric analysis. The quantification is realized over cross-sections recovered by cone beam reconstruction, where a real-time microfocus radiographic system is used as tomographic system. The three-dimensional (3D) histomorphometry, obtained from tomography, corresponds to an evolution of conventional method that is based on 2D analysis. It is more coherent with morphologic and topologic context of the sample. This work shows result from 3D histomorphometric quantification to characterize objects examined by 3D computer tomography. The results, which characterizes the internal structures of ceramic foams with different porous density, are compared to results from conventional methods

  5. Scoops3D: software to analyze 3D slope stability throughout a digital landscape

    Science.gov (United States)

    Reid, Mark E.; Christian, Sarah B.; Brien, Dianne L.; Henderson, Scott T.

    2015-01-01

    The computer program, Scoops3D, evaluates slope stability throughout a digital landscape represented by a digital elevation model (DEM). The program uses a three-dimensional (3D) method of columns approach to assess the stability of many (typically millions) potential landslides within a user-defined size range. For each potential landslide (or failure), Scoops3D assesses the stability of a rotational, spherical slip surface encompassing many DEM cells using a 3D version of either Bishop’s simplified method or the Ordinary (Fellenius) method of limit-equilibrium analysis. Scoops3D has several options for the user to systematically and efficiently search throughout an entire DEM, thereby incorporating the effects of complex surface topography. In a thorough search, each DEM cell is included in multiple potential failures, and Scoops3D records the lowest stability (factor of safety) for each DEM cell, as well as the size (volume or area) associated with each of these potential landslides. It also determines the least-stable potential failure for the entire DEM. The user has a variety of options for building a 3D domain, including layers or full 3D distributions of strength and pore-water pressures, simplistic earthquake loading, and unsaturated suction conditions. Results from Scoops3D can be readily incorporated into a geographic information system (GIS) or other visualization software. This manual includes information on the theoretical basis for the slope-stability analysis, requirements for constructing and searching a 3D domain, a detailed operational guide (including step-by-step instructions for using the graphical user interface [GUI] software, Scoops3D-i) and input/output file specifications, practical considerations for conducting an analysis, results of verification tests, and multiple examples illustrating the capabilities of Scoops3D. Easy-to-use software installation packages are available for the Windows or Macintosh operating systems; these packages

  6. Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

    KAUST Repository

    Bai, Yancheng

    2018-01-28

    Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection. To deal with the inherent temporal scale variability of activity instances, the temporal feature pyramid is used to represent activities of different temporal scales. On each level of the temporal feature pyramid, an activity proposal detector and an activity classifier are learned to detect activities of specific temporal scales. Temporal contextual information is fused into activity classifiers for better recognition. More importantly, the entire model at all levels can be trained end-to-end. Our CMS-RC3D detector can deal with activities at all temporal scale ranges with only a single pass through the backbone network. We test our detector on two public activity detection benchmarks, THUMOS14 and ActivityNet. Extensive experiments show that the proposed CMS-RC3D detector outperforms state-of-the-art methods on THUMOS14 by a substantial margin and achieves comparable results on ActivityNet despite using a shallow feature extractor.

  7. Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

    KAUST Repository

    Bai, Yancheng; Xu, Huijuan; Saenko, Kate; Ghanem, Bernard

    2018-01-01

    Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection. To deal with the inherent temporal scale variability of activity instances, the temporal feature pyramid is used to represent activities of different temporal scales. On each level of the temporal feature pyramid, an activity proposal detector and an activity classifier are learned to detect activities of specific temporal scales. Temporal contextual information is fused into activity classifiers for better recognition. More importantly, the entire model at all levels can be trained end-to-end. Our CMS-RC3D detector can deal with activities at all temporal scale ranges with only a single pass through the backbone network. We test our detector on two public activity detection benchmarks, THUMOS14 and ActivityNet. Extensive experiments show that the proposed CMS-RC3D detector outperforms state-of-the-art methods on THUMOS14 by a substantial margin and achieves comparable results on ActivityNet despite using a shallow feature extractor.

  8. Symposium 20 - PABMB: Teaching biochemistry in a connected world: KEEPING 3D RESOURCES IN THE WEB TO LEARN ON PROTEIN STRUCTURE

    Directory of Open Access Journals (Sweden)

    Raul Herrera

    2015-08-01

    Full Text Available Symposium 20 - PABMB: Teaching biochemistry in a connected world Chair: Miguel Castanho, Universidade de Lisboa, PortugalAbstract:The new paradigm of higher education requires new teaching strategies to meet the learning objectives of biochemistry courses. Teaching biochemistry in the current state of science and society requires a special motivation for learning, especially for students of degrees other than Biochemistry. The traditional way of teaching, based on the teacher-student relationship, mostly unidirectional, does not fulfil the needs imposed in this era. Considering the current situation universities students require new abilities in their training and the use of computers can constitute a place for discovery and research, enabling the experience of new and diverse situations. The design of teaching material for undergraduate students who take biochemistry courses as complementary subject on their careers should be seen as an opportunity to complement theoretical aspects on the current courses. Three different approaches could be used: (I a description of the basic concepts, like in a book but using dynamics figures. (II Modelling proteins highlighting key motifs at the three-dimensional structure and residues where inhibitors can be attached. And (III elaborating active quizzes where students can be driven on their learning. Building knowledge based on practical experience can improve student competences on basic science and the learning process can be complemented in the use of dynamics models. On the other hand, exploring protein structures from the web could give students a better comprehension of residues interaction and non-covalent forces involved in protein-protein or protein-ligand interaction. The use of dynamic models improves the comprehension of protein structure and their special link to amino acids residues or ligands. This work was supported by Anillo ACT1110 project. Key Words: protein structure, 3D source, learning

  9. MAP3D: a media processor approach for high-end 3D graphics

    Science.gov (United States)

    Darsa, Lucia; Stadnicki, Steven; Basoglu, Chris

    1999-12-01

    Equator Technologies, Inc. has used a software-first approach to produce several programmable and advanced VLIW processor architectures that have the flexibility to run both traditional systems tasks and an array of media-rich applications. For example, Equator's MAP1000A is the world's fastest single-chip programmable signal and image processor targeted for digital consumer and office automation markets. The Equator MAP3D is a proposal for the architecture of the next generation of the Equator MAP family. The MAP3D is designed to achieve high-end 3D performance and a variety of customizable special effects by combining special graphics features with high performance floating-point and media processor architecture. As a programmable media processor, it offers the advantages of a completely configurable 3D pipeline--allowing developers to experiment with different algorithms and to tailor their pipeline to achieve the highest performance for a particular application. With the support of Equator's advanced C compiler and toolkit, MAP3D programs can be written in a high-level language. This allows the compiler to successfully find and exploit any parallelism in a programmer's code, thus decreasing the time to market of a given applications. The ability to run an operating system makes it possible to run concurrent applications in the MAP3D chip, such as video decoding while executing the 3D pipelines, so that integration of applications is easily achieved--using real-time decoded imagery for texturing 3D objects, for instance. This novel architecture enables an affordable, integrated solution for high performance 3D graphics.

  10. The 3d84s and 3d84d configurations of the fourth spectrum of zinc: Zn IV

    International Nuclear Information System (INIS)

    Joshi, Y.N.; Van Kleef, T.A.M.

    1987-01-01

    The spectrum of zinc was photographed in the region 2000 A - 820 A on a 6.65 m and a 10.7 m normal incidence spectrograph using a sliding spark and a triggered spark source. The new measurements have helped us to confirm the earlier analysis of the 3d 8 4s-3d 8 4p transitions and locate the missing level 3d 8 4s 2 S 1/2 , and study the 3d 8 4p-3d 8 4d transitions. 59 out of 67 levels of the 3d 8 4d configuration have been established. Parametric least-squares-fitted calculations support the analysis. Two hundred and eight (208) additional lines have been classified in the Zn IV analysis. (orig.)

  11. FDM 3D printed coffee glove embedded with flexible electronic

    KAUST Repository

    Bahri, Meznan

    2017-10-31

    With the advances in 3D printing technology, Flexible Electronics can now be exploited to form the so-called “Embedded Electronics”. This paper describes experiences learned from a research project which ran during summer 2016 at KAUST, in collaboration with the Electrical and Computer Engineering Department at Effat University, and aimed at creating a heating coffee glove product operating on double alkaline batteries using Kapton© as a flexible substrate for the circuit. The circuit and its batteries are encapsulated in a 3D printed glove, designed using SolidWorks©. The proposed methodology and techniques applied during this work could be further used in implementing other technologies, such as thermoelectric coolers head patches, smart garments, and flexible smartphones. Limitation and recommendation of the present methodology are also discussed.

  12. Acquiring 3D scene information from 2D images

    NARCIS (Netherlands)

    Li, Ping

    2011-01-01

    In recent years, people are becoming increasingly acquainted with 3D technologies such as 3DTV, 3D movies and 3D virtual navigation of city environments in their daily life. Commercial 3D movies are now commonly available for consumers. Virtual navigation of our living environment as used on a

  13. STEM and ICT Instructional Worlds: The 3D Experience, The impact on today’s students

    Directory of Open Access Journals (Sweden)

    William Edward Roberts

    2013-02-01

    Full Text Available In our project, 3D immersive virtual worlds have been implemented in middle schools for instruction in science, technology, engineering, and mathematics (STEM.  The learning and playing, as a curricular tool, has enormous potential for engaging children of all ages in deep learning (Lim, Nonis, &  Hedberg 2006. STEM and ICT Instructional Worlds: The 3D Experience (STEM-ICT 3D is funded by the National Science Foundation Innovative Technology Experiences for Students and Teachers (ITEST program. The project is intended to inspire middle school students to pursue studies and careers in science, technology, engineering, and mathematics – particularly information and communication technology (ICT fields - as well as prepare students with the skills necessary to succeed in STEM education and careers. The project, based on research suggesting student gains in engagement, efficacy, and achievement (Barab, et al, 2005; Educause, 2006; Ketelhut, et al, 2006 proposes to translate the success of an earlier pilot toward a model that can be replicated in other middle schools over time.

  14. 2D-Driven 3D Object Detection in RGB-D Images

    KAUST Repository

    Lahoud, Jean; Ghanem, Bernard

    2017-01-01

    In this paper, we present a technique that places 3D bounding boxes around objects in an RGB-D scene. Our approach makes best use of the 2D information to quickly reduce the search space in 3D, benefiting from state-of-the-art 2D object detection

  15. Joint International Workshop on Professional Learning, Competence Development and Knowledge Management - LOKMOL and L3NCD

    NARCIS (Netherlands)

    Memmel, Martin; Ras, Eric; Weibelzahl, Stephan; Burgos, Daniel; Olmedilla, Daniel; Wolpers, Martin

    2006-01-01

    Memmel, M., Ras, E., Weibelzahl, S., Burgos, D., Olmedilla, D., & Wolpers, M. (2006). Joint International Workshop on Professional Learning, Competence Development and Knowledge Management - LOKMOL and L3NCD. Proceedings of ECTEL 2006. October 2nd-4th, Crete, Greece. Retrieved October 2nd, 2006,

  16. 3D shape decomposition and comparison for gallbladder modeling

    Science.gov (United States)

    Huang, Weimin; Zhou, Jiayin; Liu, Jiang; Zhang, Jing; Yang, Tao; Su, Yi; Law, Gim Han; Chui, Chee Kong; Chang, Stephen

    2011-03-01

    This paper presents an approach to gallbladder shape comparison by using 3D shape modeling and decomposition. The gallbladder models can be used for shape anomaly analysis and model comparison and selection in image guided robotic surgical training, especially for laparoscopic cholecystectomy simulation. The 3D shape of a gallbladder is first represented as a surface model, reconstructed from the contours segmented in CT data by a scheme of propagation based voxel learning and classification. To better extract the shape feature, the surface mesh is further down-sampled by a decimation filter and smoothed by a Taubin algorithm, followed by applying an advancing front algorithm to further enhance the regularity of the mesh. Multi-scale curvatures are then computed on the regularized mesh for the robust saliency landmark localization on the surface. The shape decomposition is proposed based on the saliency landmarks and the concavity, measured by the distance from the surface point to the convex hull. With a given tolerance the 3D shape can be decomposed and represented as 3D ellipsoids, which reveal the shape topology and anomaly of a gallbladder. The features based on the decomposed shape model are proposed for gallbladder shape comparison, which can be used for new model selection. We have collected 19 sets of abdominal CT scan data with gallbladders, some shown in normal shape and some in abnormal shapes. The experiments have shown that the decomposed shapes reveal important topology features.

  17. Technology infusion of intellectual 3D printers-based prototyping of products into learning process

    Science.gov (United States)

    Boshhenko, T. V.; Chepur, P. V.

    2018-03-01

    The article considers the prospects for the technologies of intellectual design and prototyping applying 3D printers. It presents basic technologies of 3D printing, currently developed and released for construction. The experience of educational activities in the University to train students for the Academic Competitions on three-dimensional modeling and prototyping is described in the present article. Requirements for the prototyping implementation are given, allowing obtaining a positive effect from the technology infusion released for construction. The results of activities to train students for the Academic Competition are stated. It is established that the proposed approaches to the training of students have led to the highest score in the national contest in Novosibirsk when performing tasks for prototyping a stand for a cell phone and manufacturing the product on a 3D printer at the SLS technology, selective laser sintering. The conclusions about the possibilities and prospects of development of this direction in the industry in the entire country are drawn.

  18. Computational Sensing of Staphylococcus aureus on Contact Lenses Using 3D Imaging of Curved Surfaces and Machine Learning.

    Science.gov (United States)

    Veli, Muhammed; Ozcan, Aydogan

    2018-03-27

    We present a cost-effective and portable platform based on contact lenses for noninvasively detecting Staphylococcus aureus, which is part of the human ocular microbiome and resides on the cornea and conjunctiva. Using S. aureus-specific antibodies and a surface chemistry protocol that is compatible with human tears, contact lenses are designed to specifically capture S. aureus. After the bacteria capture on the lens and right before its imaging, the captured bacteria are tagged with surface-functionalized polystyrene microparticles. These microbeads provide sufficient signal-to-noise ratio for the quantification of the captured bacteria on the contact lens, without any fluorescent labels, by 3D imaging of the curved surface of each lens using only one hologram taken with a lens-free on-chip microscope. After the 3D surface of the contact lens is computationally reconstructed using rotational field transformations and holographic digital focusing, a machine learning algorithm is employed to automatically count the number of beads on the lens surface, revealing the count of the captured bacteria. To demonstrate its proof-of-concept, we created a field-portable and cost-effective holographic microscope, which weighs 77 g, controlled by a laptop. Using daily contact lenses that are spiked with bacteria, we demonstrated that this computational sensing platform provides a detection limit of ∼16 bacteria/μL. This contact-lens-based wearable sensor can be broadly applicable to detect various bacteria, viruses, and analytes in tears using a cost-effective and portable computational imager that might be used even at home by consumers.

  19. A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks.

    Science.gov (United States)

    Kajita, Seiji; Ohba, Nobuko; Jinnouchi, Ryosuke; Asahi, Ryoji

    2017-12-05

    Material informatics (MI) is a promising approach to liberate us from the time-consuming Edisonian (trial and error) process for material discoveries, driven by machine-learning algorithms. Several descriptors, which are encoded material features to feed computers, were proposed in the last few decades. Especially to solid systems, however, their insufficient representations of three dimensionality of field quantities such as electron distributions and local potentials have critically hindered broad and practical successes of the solid-state MI. We develop a simple, generic 3D voxel descriptor that compacts any field quantities, in such a suitable way to implement convolutional neural networks (CNNs). We examine the 3D voxel descriptor encoded from the electron distribution by a regression test with 680 oxides data. The present scheme outperforms other existing descriptors in the prediction of Hartree energies that are significantly relevant to the long-wavelength distribution of the valence electrons. The results indicate that this scheme can forecast any functionals of field quantities just by learning sufficient amount of data, if there is an explicit correlation between the target properties and field quantities. This 3D descriptor opens a way to import prominent CNNs-based algorithms of supervised, semi-supervised and reinforcement learnings into the solid-state MI.

  20. L-histidine enhances learning in stressed zebrafish

    Directory of Open Access Journals (Sweden)

    L.P.V. Cofiel

    2009-01-01

    Full Text Available The aim of the present study was to determine the effect of the histaminergic precursor L-histidine and the H3 receptor antagonist thioperamide on the learning process of zebrafish submitted or not to confinement stress. On each of the 5 consecutive days of experiment (D1, D2, D3, D4, D5, animals had to associate an interruption of the aquarium air supply with food offering. Non-stressed zebrafish received an intraperitoneal injection of 100 mg/kg L-histidine, 10 mg/kg thioperamide or saline after training. Stressed animals received drug treatment and then were submitted to confinement stress for 1 h before the learning procedure. Time to approach the feeder was measured (in seconds and was considered to be indicative of learning. A decrease in time to approach the feeder was observed in the saline-treated group (D1 = 141.92 ± 13.57; D3 = 55 ± 13.54, indicating learning. A delay in learning of stressed animals treated with saline was observed (D1 = 217.5 ± 25.66. L-histidine facilitated learning in stressed (D1 = 118.68 ± 13.9; D2 = 45.88 ± 8.2 and non-stressed (D1 = 151.11 ± 19.20; D5 = 62 ± 14.68 animals. Thioperamide inhibited learning in non-stressed (D1 = 110.38 ± 9.49; D4 = 58.79 ± 16.83 and stressed animals (D1 = 167.3 ± 26.39; D5 = 172.15 ± 27.35. L-histidine prevented the increase in blood glucose after one session of confinement (L-histidine = 65.88 ± 4.50; control = 53 ± 3.50 mg/dL. These results suggest that the histaminergic system enhances learning and modulates stress responses in zebrafish.

Some links on this page may take you to non-federal websites. Their policies may differ from this site.