Results 31 to 40 of about 33,603 (293)

A guaranteed collision‐free trajectory planning method for autonomous parking

IET Intelligent Transport Systems, 2021
Planning a feasible, and safe trajectory is a crucial procedure for autonomous parking which remains to be fully solved. Generally, a trajectory is depicted by a sequence of configurations which include positions, and orientations.
Zhiming Zhang, Shan Lu, Lei Xie, Hongye Su, Dongliu Li, Qibing Wang, Weihua Xu   +6 more
doaj   +1 more source

Global repair bandwidth cost optimization of generalized regenerating codes in clustered distributed storage systems

IET Communications, 2021
In clustered distributed storage systems (CDSSs), one of the main design goals is minimizing the transmission cost during the failed storage nodes repairing. Generalized regenerating codes (GRCs) are proposed to balance the intra‐cluster repair bandwidth
Shushi Gu, Fugang Wang, Qinyu Zhang, Tao Huang, Wei Xiang   +4 more
doaj   +1 more source

Signalised intersection control in a connected vehicle environment: User throughput maximisation strategy

IET Intelligent Transport Systems, 2021
Connected vehicle (CV) technology is expected to bring additional opportunities to share, collect, and exploit various information on vehicles and their occupants.
Roozbeh Mohammadi, Claudio Roncoli, Miloš N. Mladenović   +2 more
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

IET Intelligent Transport Systems, 2021
In this paper, a novel energy management strategy with the improved adaptability to various conditions for plug‐in hybrid electric vehicle (PHEV) is proposed.
Zhuoran Hou, Jianhua Guo, Jiaming Xing, Chong Guo, Yuanjian Zhang   +4 more
doaj   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

Execution time analysis and optimisation techniques in the model-based development of a flight control software

IET Cyber-Physical Systems, 2017
This case study analyses the possibilities to improve the execution time of model-based developed software by applying optimisations during code generation and compilation.
Kajetan Nürnberger, Markus Hochstrasser, Florian Holzapfel   +2 more
doaj   +1 more source

Total transfer capability assessment of HVDC tie‐lines in asynchronous grids

IET Generation, Transmission & Distribution, 2021
This paper discusses how frequency‐stable operational decision‐making of asynchronous grids with intensive high‐capacity HVDC tie‐lines, can be achieved leveraging a novel total transfer capability (TTC) evaluation approach. This problem is formulated as
Buqing Deng, Yunfeng Wen, Xiaoliang Jiang   +2 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Optimization of Experimental Model Parameter Identification for Energy Storage Systems

Energies, 2013
The smart grid approach is envisioned to take advantage of all available modern technologies in transforming the current power system to provide benefits to all stakeholders in the fields of efficient energy utilisation and of wide integration of ...
Rosario Morello, Mario Luiso, Daniele Gallo, Carmine Landi   +3 more
doaj   +1 more source