Traffic accidents often result in quick bottlenecks and increase injudicious lane changes near incidents (or lane blockage), worsening collision risks, congestion, and fuel consumption. As a practical solution, this p...
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Traffic accidents often result in quick bottlenecks and increase injudicious lane changes near incidents (or lane blockage), worsening collision risks, congestion, and fuel consumption. As a practical solution, this paper proposes a novel cooperative look-ahead lane change (Co-LLC) system for automated vehicles (AVs) to mitigate sudden accident-induced traffic effects by improving driving intelligence and safety in critical scenarios. The proposed Co-LLC system comprises the state prediction model, safety and impact evaluation unit, and decision system. Firstly, we analyze the immediate impacts of traffic accidents and identify that a lack of anticipation causes a lane change hot spot near the incident. Consequently, most attempts to change lanes early are unsuccessful due to uncooperative behavior from vehicles in the destination lane. Secondly, we design anticipatory and cooperative lane change systems for AVs to decide the need and feasibility of a lane change in advance. Thus, the proposed system enables AVs to change lanes smoothly and cooperate with other vehicles during lane changes. Finally, we investigate the impact of different penetration rates of AVs using the proposed system on overall traffic performance. The performance of our proposed system is compared to the traditional driving system, and the results show that our proposed system improves the lane-changing behavior of AVs, assists traditional vehicles in changing their lanes smoothly, and mitigates sudden accident-induced traffic impacts. Moreover, the proposed system improves the overall traffic performance with increased penetration rates. Our proposed system is computationally efficient and suitable for real-time driving in critical traffic scenarios. IEEE
The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies,particularly in drone *** deployment of intelligent drone swarms offers promising solutions for enha...
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The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies,particularly in drone *** deployment of intelligent drone swarms offers promising solutions for enhancing the efficiency and scope of urban condition *** this context,this paper introduces an innovative algorithm designed to navigate a swarm of drones through urban landscapes for monitoring *** primary challenge addressed by the algorithm is coordinating drone movements from one location to another while circumventing obstacles,such as *** algorithm incorporates three key components to optimize the obstacle detection,navigation,and energy efficiency within a drone ***,the algorithm utilizes a method to calculate the position of a virtual leader,acting as a navigational beacon to influence the overall direction of the ***,the algorithm identifies observers within the swarm based on the current *** further refine obstacle avoidance,the third component involves the calculation of angular velocity using fuzzy *** approach considers the proximity of detected obstacles through operational rangefinders and the target’s location,allowing for a nuanced and adaptable computation of angular *** integration of fuzzy logic enables the drone swarm to adapt to diverse urban conditions dynamically,ensuring practical obstacle *** proposed algorithm demonstrates enhanced performance in the obstacle detection and navigation accuracy through comprehensive *** results suggest that the intelligent obstacle avoidance algorithm holds promise for the safe and efficient deployment of autonomous mobile drones in urban monitoring applications.
This article presents an optimized control strategy tailored for DC islanded microgrids, featuring a voltage controller based on mixed H2/H∞ state feedback using linear matrix inequalities (LMIs) and a power controll...
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Definition of weak Pareto improvement is given for noncooperative systems with vector-valued payoff functions. The region where a system trajectory is Pareto improving is characerized. Some necessary and sufficient co...
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The paper aims to develop an innovative and robust control system for stabilizing an inverted pendulum using a neural network controller. This combines principles of control theory with the power of artificial intelli...
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Oriented ligand immobilization is one of the most effective strategies used in the design and construction of a high-capacity protein A chromatography. In this work, cysteine was introduced as anchoring sites by subst...
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Oriented ligand immobilization is one of the most effective strategies used in the design and construction of a high-capacity protein A chromatography. In this work, cysteine was introduced as anchoring sites by substituting a specific residue on Helix Ⅰ, Ⅱ, and at C-terminus of antibody binding domain Z from protein A, respectively, to investigate structural evolution and binding behavior of protein A ligands at liquid-solid interfaces. Among the three affinity dextran-coated Fe_(3)O_(4) magnetic nanoparticles(Fe_(3)O_(4)@Dx MNPs), affinity MNPs with the immobilized ligand via N11C on Helix Ⅰ(Fe_(3)O_(4)@Dx-Z_(1) MNPs) had the highest helical content, and MNPs with the immobilized ligand via G29C on Helix Ⅱ(Fe_(3)O_(4)@Dx-Z_(2) MNPs) had the lowest helical content at the same pHs. It was attributed to less electrostatic attraction of ligand to negatively charged surface on Fe_(3)O_(4)@Dx-Z_(1) MNPs because of less positive charged residues on Helix Ⅰ(K6) than Helix Ⅱ(R27/K35). Among the three affinity MNPs, moreover, the highest affinity to immunoglobulin G(IgG) binding was observed on Fe_(3)O_(4)@Dx-Z_(1) MNPs in isothermal titration calorimetry measurement, further validating greater structural integrity of the ligand on Fe_(3)O_(4)@Dx-Z_(1) MNPs. Finally,the study of IgG binding on MNPs and 96-well plates showed that anchoring sites for ligand immobilization had distinct influences on IgG binding and IgG-mediated antigen binding. This work illustrated that anchoring sites of the ligands had a striking significance for the molecular structure of the ligand at liquid-solid interfaces and raised an important implication for the design and optimization of protein A chromatography and protein A-based immunoassay analysis.
Encrypted computation opens up promising avenues across a plethora of application domains, including machine learning, health-care, finance, and control. Arithmetic homomorphic encryption, in particular, is a natural ...
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Biodiesel is gaining more interest due to its advantages over petroleum diesel, even though its production remains confronted with many challenges. These in terms of the desire for feedstocks encompass the feedstock c...
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The study investigated the enhanced production of 2-hydroxybutyric acid(2-HBA)from threonine using a two-step whole-cell bioconversion by recombinant Escherichia coli BL21(DE3)overexpressing threonine dehydratase and ...
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The study investigated the enhanced production of 2-hydroxybutyric acid(2-HBA)from threonine using a two-step whole-cell bioconversion by recombinant Escherichia coli BL21(DE3)overexpressing threonine dehydratase and *** address the rate-limiting step posed by NADH regeneration for the keto-reductase reaction converting 2-ketobutyric acid(2-KBA)to 2-HBA,formate dehydrogenase from Candida boidinii was overexpressed under the T7 promoter,resulting in a high titer of 1015 mM and a yield of 0.70 mol/***,the yield was improved by disrupting three enzymes responsible for the degradation of the intermediate(2-KBA),pyruvate-formate lyase(PflB),pyruvate oxidase(PoxB),and pyruvate dehydrogenase complex(PDHc),leading to an impressive yield of 0.99 mol/mol,closely approaching the theo-retical maximum of 1.00 mol/*** triple mutant,designed to prevent 2-KBA degradation,achieved a remarkable titer of 1,400 mM and volumetric productivity of 58 mmol/L/*** the best of our knowledge,this achievement represents the highest reported titer and yield for 2-HBA production to date.
Understanding the influencing mechanism of turbulent fluctuation on the ignition characteristics of millimeter coal particles is *** this work,to study the effect of turbulent fluctuation on ignition time,millimeter c...
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Understanding the influencing mechanism of turbulent fluctuation on the ignition characteristics of millimeter coal particles is *** this work,to study the effect of turbulent fluctuation on ignition time,millimeter coal particles are subjected to a specific flow field,generated in a furnace with symmetric fans.A one-dimensional model with the new proposed correlation and the Ranz-Marshall(R-M)correlation for Nu(Nusselt number)is established to simulate the coal ignition *** addition,the effects of fan speed,temperature,particle diameter,particle distance and coal type on the ignition time are *** is found that an increase in fan speed from 0 to 3000 rpm leads to a particle Reynolds number Re_(p)increase from 0 to 22.5,and a turbulent particle Reynolds number Re_(t)*increase from 0 to *** a consideration of the fluctuation effect,the new correlation of Nu gives a better prediction of ignition time compared to the R-M ***,the ignition time is revealed to decrease with an increasing fan speed and an elevating *** the ignition time shows merely an initial boost with enlarging particle distance,it exhibits a linearity with the term of particle diameter dp1.3-1.7 and Reynolds numbers(Nu*/Nu)-0.6(Nu*is turbulent Nusselt number).Based on this relationship,the difference of predicted ignition time is calculated at different Re_(p)and Re_(t)*.It is shown that at low Re_(p)or high Re_(t)*values,the new correlation should substitute for the R-M correlation.
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