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Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach A preliminary version was presented at the 12th International Conference on Distributed Computing and Artificial Intelligence, June 3–5, 2015, Spain

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: We present an extension of the resource-constrained multi-product scheduling problem for an automatedguided vehicle (AGV) served flow shop, where multiple material handling transport modes provide movementstructure provides a framework for multimodal processes scheduling treated in terms of optimization of the AGVs

Keywords： Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

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Coordinated shift control of nonsynchronizer transmission for electric vehicles based on dynamic tooth

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 887-900 doi: 10.1007/s11465-021-0653-3

Abstract: Multispeed transmissions can enhance the dynamics and economic performance of electric vehicles (EVs)coordinated shift control method based on the dynamic tooth alignment (DTA) algorithm for nonsynchronizer automated

Keywords： electric vehicle     nonsynchronizer automated mechanical transmission (NSAMT)     planetary gear     coordinated    

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Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques Review

Jing Hou, Guang Chen, Jin Huang, Yingjun Qiao, Lu Xiong, Fuxi Wen, Alois Knoll, Changjun Jiang

Engineering 2023, Volume 28, Issue 9,   Pages 26-48 doi: 10.1016/j.eng.2023.01.012

Abstract: vehicle-to-vehicle (V2V) communication, autonomizing a vehicle platoon can significantly reduce the distance between vehicles

Keywords： Autonomous vehicle platoon     Autonomous driving     Connected and automated vehicles     Scheduling and planning    

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Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 251-260 doi: 10.1007/s11465-008-0050-1

Abstract: that the time reversal array method is beneficial to the improvement of the signal-to-noise ratio of a guidedThe time reversal process used for guided wave inspection leads to the temporal and spatial focusing.

Keywords： reversal process     beneficial     circumferential location     energy     number    

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Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain dynamics

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 354-367 doi: 10.1007/s11465-018-0486-x

Abstract: With an inverse model to compensate for nonlinear powertrain dynamics, vehicles in a platoon are modeled

Keywords： automated vehicles     platoon     distributed control     robustness    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostate

Keywords： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particle swarm optimization     informative value    

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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: extra-gradient alternating direction method with augmented Lagrangian function (SEGAL), to minimize the graph-guidedA number of important applications in machine learning follow the graph-guided optimization formulationWe conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords： Stochastic optimization     Graph-guided minimization     Extra-gradient method     Fused logistic regression     Graph-guided    

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFUcancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords： high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonanceimaging-guided HIFU (MRgHIFU)    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: Automated flowsheet synthesis is an important field in computer-aided process engineering.The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcement    

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Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios Research Article

Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1700-1713 doi: 10.1631/FITEE.2100504

Abstract:

Platoon control is widely studied for coordinating (CAVs) on highways due to its potential for improving traffic throughput and road safety. Inspired by platoon control, the cooperation of multiple CAVs in can be greatly simplified by virtual platooning. Vehicle-to-vehicle communication is an essential ingredient in virtual platoon systems. Massive data transmission with limited communication resPreprintources incurs inevitable imperfections such as transmission delay and dropped packets. As a result, unnecessary transmission needs to be avoided to establish a reliable wireless network. To this end, an event-triggered robust control method is developed to reduce the use of communication resources while ensuring the stability of the virtual platoon system with time-varying uncertainty. The uniform boundedness, uniform ultimate boundedness, and string stability of the closed-loop system are analytically proved. As for the triggering condition, the uncertainty of the boundary information is considered, so that the threshold can be estimated more reasonably. Simulation and experimental results verify that the proposed method can greatly reduce data transmission while creating multi-vehicle cooperation. The threshold affects the tracking ability and communication burden, and hence an optimization framework for choosing the threshold is worth exploring in future research.

Keywords： Connected and automated vehicles     Event-triggered control     Nonlinear and uncertain dynamics     Conflicting    

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Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 227-239 doi: 10.15302/J-FEM-2018071

Abstract: Construction is considered among the most dangerous industries and is responsible for a large portion of total worker fatalities. A construction worker has a probability of 1-in-200 of dying on the job during a 45-year career, mainly due to fires, falls, and being struck by or caught between objects. Hence, employers must ensure their workers wear personal protective equipment (PPE), in particular hardhats, if they are at risk of falling, being struck by falling objects, hitting their heads on static objects, or coming in proximity to electrical hazards. However, monitoring the presence and proper use of hardhats becomes inefficient when safety officers must survey large areas and a considerable number of workers. Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques, namely object detection and color-based segmentation tools, used to rapidly detect if workers are wearing hardhats. Experiments are conducted and the results highlight the potential of cascade classifiers, in particular, to accurately, precisely, and rapidly detect hardhats under different scenarios and for repetitive runs, and the potential of color-based segmentation to eliminate false detections.

Keywords： construction     safety     personal protective equipment     hardhat     computer vision    

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hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0003-0

Abstract: Using an in situ lunar regolith as a construction material in combination with 3D printing not only reduces the weight of materials carried from the Earth but also improves the automation of lunar infrastructure construction. This study aims to improve the printability of a geopolymer based on a BH-1 lunar regolith simulant, including the extrudability, open time, and buildability, by controlling the temperature and adding admixtures. Rheological parameters were used to represent printability with different water-to-binder ratios, printing temperatures, and contents of additives. The mechanical properties of the hardening geopolymer with different filling paths and loading directions were tested. The results show that heating the printed filaments with a water-to-binder ratio of 0.32 at 80 °C can adjust the printability without adding any additive, which can reduce the construction cost of lunar infrastructure. The printability of the BH-1 geopolymer can also be improved by adding 0.3% Attagel-50 and 0.5% polypropylene fiber by mass at a temperature of 20 °C to cope with the changeable environmental conditions on the Moon. After curing under a simulated lunar environment, the 72-h flexural and compressive strengths of the geopolymer specimens reach 4.1 and 48.1 MPa, respectively, which are promising considering that the acceleration of gravity on the Moon is 1/6 of that on the Earth.

Keywords： geopolymer     lunar regolith simulant     3D printing     rheology     printability    

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Research on the theory and application of adsorbed natural gas used in new energy vehicles: A review

Zhengwei NIE,Yuyi LIN,Xiaoyi JIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 258-274 doi: 10.1007/s11465-016-0381-2

Abstract: ANG constitutes a safe and low-cost way to store methane for natural gas vehicles at an acceptable energyliterature on adsorbents, adsorption theories, ANG conformable tanks, and related technologies on ANG vehiclesThe review aims at illustrating both achievements and problems of the ANG technologies-based vehicles

Keywords： adsorbed natural gas (ANG)     adsorbent     adsorption theory     conformable tank     natural gas vehicles (NGVs)    

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From Remotely Operated Vehicles to Autonomous Undersea Vehicles

Feng Xisheng

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 29-33

Abstract:

A clear definition and a very fine classification of the unmanned undersea vehicles are given in thisFollowing a brief introduction of the advances on the unmanned undersea vehicles the paper points outthat the autonomous underwater vehicles at present is a hot spot in the research realm of the unmannedundersea vehicles.SIA started to be engaged in the research and development of the remotely operated tethered vehicles

Keywords： undersea vehicles     ROV     AUV     ocean engineer     ocean resources exploration    

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Title Author Date Type Operation

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach A preliminary version was presented at the 12th International Conference on Distributed Computing and Artificial Intelligence, June 3–5, 2015, Spain

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

Coordinated shift control of nonsynchronizer transmission for electric vehicles based on dynamic tooth

Journal Article

Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques

Jing Hou, Guang Chen, Jin Huang, Yingjun Qiao, Lu Xiong, Fuxi Wen, Alois Knoll, Changjun Jiang

Journal Article

Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Journal Article

Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain dynamics

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Journal Article

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Journal Article

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article

Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios

Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG

Journal Article

Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Journal Article

Research on the theory and application of adsorbed natural gas used in new energy vehicles: A review

Zhengwei NIE,Yuyi LIN,Xiaoyi JIN

Journal Article

From Remotely Operated Vehicles to Autonomous Undersea Vehicles

Feng Xisheng

Journal Article