Results 11 to 20 of about 377,937 (233)

Teaching sustainability : living labs in architecture. A framework proposal for living lab eco-systems for teaching, research and innovation in the field of sustainable architecture and ESD in higher education. Specific case study : Living Lab LOW3 (UPC - BarcelonaTech)

, 2023
Higher education, universities and especially schools of architecture, have an important role and a specific potential in societies' transition towards sustainable development (SD). New forms of teaching and learning, fostering specific SD related competences through experience-based and participatory learning processes with a holistic ...
T. Masseck
openaire   +5 more sources

Research on teaching quality evaluation of higher vocational architecture majors based on enterprise platform with spherical fuzzy MAGDM

Journal of Intelligent Systems
Teaching quality evaluation is a process of evaluating the teaching quality of architectural majors. It can not only evaluate the teaching level of teachers, but also evaluate the learning effectiveness of students.
Yang Cheng, Liu Jing
doaj   +2 more sources

Multidimensional analysis of teaching techniques used in higher education: The case of a landscape architecture department

Journal of Design for Resilience in Architecture and Planning
This study provides a multidimensional analysis of teaching techniques in a landscape architecture department. The study aims to identify the most effective among different learning methods and analyze the effectiveness of the training offered by ...
Ahmet Akay
doaj   +2 more sources

Using Tablets to Enhance the Teaching and Learning Environment in Landscape Architecture: A Pilot Study

Interaction Design and Architecture(s), 2017
Higher education has a responsibility to empower students to cope with technology-driven changes in the labour market. Subsequently there has been a trend in higher education to shift from lecturer-centered to student-centered pedagogies.
Gerhard Griesel, Christine Price
doaj   +2 more sources

Processing of polymer‐derived, aerogel‐filled, SiC foams for high‐temperature insulation

Journal of the American Ceramic Society, Volume 106, Issue 8, Page 4891-4901, August 2023., 2023
Details of our study showing a polyurethane foam and its SiC replica, a preceramic aerogel and their composite featuring different aerogel colloidal microstructures as the synthesis solvent is n‐hexane, acetone, or cyclohexane. On the top right, the preceramic aerogels pore size distribution shows the solvent effect; on the bottom right, thermal ...
Andrea Zambotti, Emanuel Ionescu, Nicola Gargiulo, Domenico Caputo, Cekdar Vakifahmetoglu, Balanand Santhosh, Mattia Biesuz, Gian Domenico Sorarù   +7 more
wiley   +1 more source

All‐optical ultrafast ReLU function for energy‐efficient nanophotonic deep learning

Nanophotonics, Volume 12, Issue 5, Page 847-855, March 2023., 2023
Abstract In recent years, the computational demands of deep learning applications have necessitated the introduction of energy‐efficient hardware accelerators. Optical neural networks are a promising option; however, thus far they have been largely limited by the lack of energy‐efficient nonlinear optical functions.
Gordon H.Y. Li, Ryoto Sekine, Rajveer Nehra, Robert M. Gray, Luis Ledezma, Qiushi Guo, Alireza Marandi   +6 more
wiley   +1 more source

Mamba: a systematic software solution for beamline experiments at HEPS

Journal of Synchrotron Radiation, Volume 29, Issue 3, Page 664-669, May 2022., 2022
Mamba is a Bluesky‐based experiment‐control framework being developed for the High Energy Photon Source (HEPS); its frontend and backend collaborate through a remote‐procedure‐call service and, most importantly, command injection. Improvement of Bluesky's support for high‐frequency and high‐throughput applications is in progress, with Mamba Data Worker
Yu Liu, Yan-Da Geng, Xiao-Xue Bi, Xiang Li, Ye Tao, Jian-She Cao, Yu-Hui Dong, Yi Zhang   +7 more
wiley   +1 more source

Deep Q‐network implementation for simulated autonomous vehicle control

IET Intelligent Transport Systems, Volume 15, Issue 7, Page 875-885, July 2021., 2021
Abstract Deep reinforcement learning is poised to be a revolutionised step towards newer possibilities in solving navigation and autonomous vehicle control tasks. Deep Q‐network (DQN) is one of the more popular methods of deep reinforcement learning that allows the agent that controls the vehicle to learn through its mistakes based on its actions and ...
Yang Thee Quek, Li Ling Koh, Ngiap Tiam Koh, Wai Ann Tso, Wai Lok Woo   +4 more
wiley   +1 more source

PyPhase – a Python package for X‐ray phase imaging

Journal of Synchrotron Radiation, Volume 28, Issue 4, Page 1261-1266, July 2021., 2021
PyPhase is a free and open‐source Python package for propagation‐based near‐field phase reconstructions, which implements some of the most popular phase‐retrieval algorithms in a highly modular framework supporting the deployment on large‐scale computing facilities.
Max Langer, Yuhe Zhang, Diogo Figueirinhas, Jean-Baptiste Forien, Kannara Mom, Claire Mouton, Rajmund Mokso, Pablo Villanueva-Perez   +7 more
wiley   +1 more source

Application of blockchain in the cluster of unmanned aerial vehicles

IET Blockchain, Volume 1, Issue 1, Page 33-40, March 2021., 2021
Abstract With the considerable exploration of unmanned aerial vehicles in civilian and military fields, the data storage and transmission mechanism of unmanned aerial vehicles exhibit significant security limitations, which cannot meet the strict requirements for data security in civilian and military business scenarios.
Shiwu Chen, Qin Li, Wei Wang, Yu Yang, Jun Jiang   +4 more
wiley   +1 more source