Results 51 to 60 of about 10,305,324 (289)

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Preemption Delay Analysis for Floating Non-Preemptive Region Scheduling [PDF]

, 2011
To appear in Design and Automation Conference 2012 (DATE 2012)In real-time systems, there are two distinct trends for scheduling task sets on unicore systems: non-preemptive and preemptive scheduling. Non-preemptive scheduling is obviously not subject to
Petters, Stefan M., Puaut, Isabelle, Marinho, José, Nélis, Vincent   +3 more
core   +2 more sources

Optimizing a bi-objective preemptive multi-mode resource constrained project scheduling problem: NSGA-II and MOICA algorithms [PDF]

Journal of Optimization in Industrial Engineering, 2016
The aim of a multi-mode resource-constrained project scheduling problem (MRCPSP) is to assign resource(s) with the restricted capacity to an execution mode of activities by considering relationship constraints, to achieve pre-determined objective(s ...
Javad Hasanpour, Mohammad Ghodoosi, Zahra Sadat Hosseini   +2 more
doaj   +1 more source

Engineered Xenogeneic Bone Scaffold with IL‐10 Nanodelivery System: Immunomodulation and BMSC Fate Programming for Skull Defect Repair

Advanced Science, EarlyView.
A multifunctional regenerative composite is constructed by 3D‐printing thermosensitive PNIPAM hydrogel embedded with MPDA@IL‐10 nanoparticles and autologous BMSCs onto antigen‐depleted porcine bone matrix for beagle critical‐sized skull defect reconstruction.
Weihao Lv, Lei Zhang, Fei Fei, Zhibin Wu, Xiuquan Wu, Ya‐nan Dou, Yihao Fu, Hao Chang, Yujie Qiang, Huaxia Xie, Ni An, Leiying Chen, Hongchen Zhang, Min‐Wen Zheng, Hongqing Chen, Xia Li, Zhou Fei   +16 more
wiley   +1 more source

Uma Abordagem de escalonamento heterogêneo preemptivo e não preemptivo para sistemas de tempo real com garantia em multiprocessadores [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Automação e SistemasSistemas de tempo real são sistemas onde o correto funcionamento não depende somente da resposta lógica ...
Starke, Renan Augusto
core  

Idle block based methods for cloud workflow scheduling with preemptive and non-preemptive tasks [PDF]

, 2018
[EN] Complex workflow applications are widely used in scientific computing and economic analysis, which commonly include both preemptive and non-preemptive tasks.
Li, Xiaoping, Ruiz García, Rubén, Chen, Long   +2 more
core   +1 more source

DEVELOPMENT OF EFFECTIVE LOGICAL DESING OF LENGTH OF ADMISSIBLE SCHEDULE OF THREE-STAGE WORKS ORDERING IN THE FLOW TYPE SYSTEM [PDF]

Avtomobilʹnyj Transport (Harʹkov), 2010
The issues concerning the application of mathematical means of scheduling theory for many-stage flow systems is investigated in the given article. The deterministic mathematical model with a set of independent tasks, for which the task of ordering ...
L. Kozachok
doaj  

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

MYOPIC POLICIES FOR NON-PREEMPTIVE SCHEDULING OF JOBS WITH DECAYING VALUE [PDF]

Probability in the Engineering and Informational Sciences, 2016
In many scheduling applications, minimizing delays is of high importance. One adverse effect of such delays is that the reward for completion of a job may decay over time. Indeed in healthcare settings, delays in access to care can result in worse outcomes, such as an increase in mortality risk.
Neal Master, Carri W. Chan, Nicholas Bambos   +2 more
openaire   +3 more sources