Results 81 to 90 of about 164,321 (250)

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source

Especially for High School Teachers [PDF]

Journal of Chemical Education, 1998
  +6 more sources

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Workload Measurement Optimalization Using Hybrid FTE-MCH to Represent the Comprehensive Workload (A Case Study of Special School and Senior High School)

Jurnal Ilmiah Teknik Industri
This study examined the workload of special school teachers and high school teachers both objectively and subjectively. Workload measurements were conducted using the Full-Time Equivalent (FTE), Meister Questionnaire, and hybrid FTE-MCH methods.
Hasyim Asyari, Akhlis Rahman Sari Nurhidayat, Ghazi Dhia Kustian   +2 more
doaj   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Pengaruh Kepemimpinan Transformasional Kepala Sekolah dan Budaya Sekolah Terhadap Kinerja Guru pada Sekolah Pengerak SMA di Kecamatan Sirimau Kota Ambon

Edukasia
The school mover program focuses on holistically developing student learning outcomes, including competency (literacy and numeracy) and character, starting with the formation of superior human resources (school principals and teachers).
Roodmansye E.I Salenussa, R. Kempa, J.E Lekatompessy, Sumarni Rumfot   +3 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Intervention in Metacognitive Strategies for High School Teachers

Psico-USF
This study analyzed the effects of an intervention on high school teachers’ self-reported use of metacognitive strategies, conducted in the form of a curricular overlay.
Deivid Alex dos Santos, Paula Mariza Zedu Alliprandini   +1 more
doaj   +1 more source

High School Teachers' Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study. [PDF]

JMIR Form Res, 2023
Manning JB, Blandford A, Edbrooke-Childs J.   +2 more
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source