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Human-Swarm-Teaming Transparency and Trust Architecture

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IEEE/CAA Journal of Automatica Sinica 2021年第7期8卷 1281-1295页

作者： Adam J.Hepworth Daniel P.Baxter Aya Hussein Kate J.Yaxley Essam Debie Hussein A.Abbass the school of engineering and information technology University of New South WalesCanberraNew South Wales 2612Australia

Transparency is a widely used but poorly defined term within the explainable artificial intelligence *** is due,in part,to the lack of an agreed definition and the overlap between the connected—sometimes used synonymously—concepts of interpretability and *** assert that transparency is the overarching concept,with the tenets of interpretability,explainability,and predictability *** draw on a portfolio of definitions for each of these distinct concepts to propose a human-swarm-teaming transparency and trust architecture(HST3-Architecture).The architecture reinforces transparency as a key contributor towards situation awareness,and consequently as an enabler for effective trustworthy human-swarm teaming(HST).

关键词： Artificial intelligence explainability human-swarm teaming(HST) interpretability predictability swarm shepherding transparency.

Ballistic impact response of flexible and rigid UHMWPE textile composites:Experiments and simulations

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Defence technology（防务技术） 2023年第4期22卷 37-53页

作者： Hongxu Wang Dakshitha Weerasinghe Paul J.Hazell Damith Mohotti Evgeny V.Morozov Juan P.Escobedo-Diaz school of engineering and information technology The University of New South WalesCanberraACT2600Australia

This study elaborates on the effects of matrix rigidity on the high-velocity impact behaviour of UHMWPE textile composites using experimental and numerical *** composite samples were manufactured of a plain-weave fabric(comprising Spectra?1000 fibres)and four different matrix ***-velocity impact tests were conducted by launching a spherical steel projectile to strike on the prepared samples via a gas *** experimental results showed that the textile composites gradually changed from a membrane stretching mode to a plate bending mode as the matrix rigidity and thickness *** composites deformed in the membrane stretching mode had higher impact resistance and energy absorption capacity,and it was found that the average energy absorption per ply was much higher in this mode,although the number of broken yarns was smaller in the perforated ***,the flexible matrix composites always had higher perforation resistance but larger deformation than the rigid matrix counterparts in the tested thickness and velocity range.A novel numerical modelling approach with enhanced computational efficiency was proposed to simulate textile composites in mesoscale *** simulation results revealed that stress and strain development in the more rigid matrix composite was localised in the vicinity of the impact location,leading to larger local deformation and inferior perforation resistance.

关键词： Impact behaviour Textile composite UHMWPE fibre Energy absorption Finite element analysis

Modified Differential Evolution Algorithm for Solving Dynamic Optimization with Existence of Infeasible Environments

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Computers, Materials & Continua 2023年第1期74卷 1-17页

作者： Mohamed A.Meselhi Saber M.Elsayed Daryl L.Essam Ruhul A.Sarker school of engineering and information technology university of new south wales canberra Australia

Dynamic constrained optimization is a challenging research topic in which the objective function and/or constraints change over *** such problems,it is commonly assumed that all problem instances are *** reality some instances can be infeasible due to various practical issues,such as a sudden change in resource requirements or a big change in the availability of ***-makers have to determine whether a particular instance is feasible or not,as infeasible instances cannot be solved as there are no solutions to *** this case,locating the nearest feasible solution would be valuable information for the *** this paper,a differential evolution algorithm is proposed for solving dynamic constrained problems that learns from past environments and transfers important knowledge from them to use in solving the current instance and includes a mechanism for suggesting a good feasible solution when an instance is *** judge the performance of the proposed algorithm,13 well-known dynamic test problems were *** results indicate that the proposed algorithm outperforms existing recent algorithms with a margin of 79.40%over all the environments and it can also find a good,but infeasible solution,when an instance is infeasible.

关键词： Dynamic optimization constrained optimization disruption differential evolution

Dynamic Frontier-Led Swarming:Multi-Robot Repeated Coverage in Dynamic Environments

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 646-661页

作者： Vu Phi Tran Matthew A.Garratt Kathryn Kasmarik Sreenatha G.Anavatti school of engineering and information technology University of New South WalesCanberraAustralian Capital Territory 2612Australia IEEE

A common assumption of coverage path planning research is a static *** environments require only a single visit to each area to achieve ***,some real-world environments are characterised by the presence of unexpected,dynamic *** require areas to be revisited periodically to maintain an accurate coverage map,as well as reactive obstacle *** paper proposes a novel swarmbased control algorithm for multi-robot exploration and repeated coverage in environments with unknown,dynamic *** algorithm combines two elements:frontier-led swarming for driving exploration by a group of robots,and pheromone-based stigmergy for controlling repeated coverage while avoiding *** tested the performance of our approach on heterogeneous and homogeneous groups of mobile robots in different *** measure both repeated coverage performance and obstacle avoidance *** a series of comparison experiments,we demonstrate that our proposed strategy has superior performance to recently presented multi-robot repeated coverage methodologies.

关键词： Artificial pheromones distributed control architecture dynamic obstacle avoidance multi-robot coverage stigmergy swarm robotics

Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization

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Journal of Computer Science & technology 2008年第1期23卷 19-34页

作者： Ehab Z.Elfeky Ruhul A.Sarker Daryl L.Essam school of information technology and Electrical engineering University of New South Wales

Many optimization problems that involve practical applications have functional constraints, and some of these constraints are active, meaning that they prevent any solution from improving the objective function value to the one that is better than any solution lying beyond the constraint limits. Therefore, the optimal solution usually lies on the boundary of the feasible region. In order to converge faster when solving such problems, a new ranking and selection scheme is introduced which exploits this feature of constrained problems. In conjunction with selection, a new crossover method is also presented based on three parents. When comparing the results of this new algorithm with six other evolutionary based methods, using 12 benchmark problems from the literature, it shows very encouraging performance. T-tests have been applied in this research to show if there is any statistically significance differences between the algorithms. A study has also been carried out in order to show the effect of each component of the proposed algorithm.

关键词： constrained continuous optimization evolutionary computation genetic algorithms multi-parent crossover

The implications of blockchain-coordinated information sharing within a supply chain: A simulation study

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Blockchain(Research and Applications) 2023年第1期4卷 21-35页

作者： Aaliya Sarfaraz Ripon K.Chakrabortty Daryl L.Essam school of engineering and information technology University of New South WalesCanberra2600Australia

The profitability of a supply chain(SC)is proportional to the stability of all its stakeholders as well as their consistent information sharing with an effective and efficient communication *** inefficiencies,such as the bullwhip effect(BWE)and product unavailability,may be caused by a lack of coordination in an *** importance of sharing consumer demand has been quantified by comprehensive studies under the assumption that all SC participants will access the same ***,only a few studies have studied the effect of minimal coordination or limited visibility of information while considering their effect on the overall efficiency of an *** work primarily leverages blockchain technology(BCT)to create a simulation *** do this,an SC BWE-based model is initially *** that,a blockchain-based robust information sharing system is ***,information sharing is challenging,and SC stakeholders may not really trust each other and hence be reluctant to share sensitive *** that,this paper propose an improved proof-ofauthority(PoA)consensus algorithm that will increase trust in a decentralized SC *** experiments are carried out to demonstrate the effectiveness of our approach,and the simulation results clearly demonstrate the effectiveness of information sharing in a supply chain via blockchain,as well as that trust between partners tends to increase overall SC efficiency and reduce BWE.

关键词： Blockchain Supply chain collaboration Bullwhip effect Lead time Consensus protocol Trust

Strong coupling and catenary field enhancement in the hybrid plasmonic metamaterial cavity and TMDC monolayers

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Opto-Electronic Advances 2024年第5期7卷 20-32页

作者： Andergachew Mekonnen Berhe Khalil As’ham Ibrahim Al-Ani Haroldo T.Hattori Andrey E.Miroshnichenko school of engineering and technology University of New South Wales at CanberraNorthcott DriveCanberra ACT 2610Australia

Strong coupling between resonantly matched surface plasmons of metals and excitons of quantum emitters results in the formation of new plasmon-exciton hybridized energy *** plasmon-exciton strong coupling,plasmonic nanocavities play a significant role due to their ability to confine light in an ultrasmall ***,two-dimensional transition metal dichalcogenides(TMDCs) have a significant exciton binding energy and remain stable at ambient conditions,making them an excellent alternative for investigating light-matter *** a result,strong plasmon-exciton coupling has been reported by introducing a single metallic ***,single nanoparticles have lower spatial confinement of electromagnetic fields and limited tunability to match the excitonic ***,we introduce the concept of catenary-shaped optical fields induced by plasmonic metamaterial cavities to scale the strength of plasmon-exciton *** demonstrated plasmon modes of metallic metamaterial cavities offer high confinement and tunability and can match with the excitons of TMDCs to exhibit a strong coupling regime by tuning either the size of the cavity gap or *** calculated Rabi splitting of Au-MoSe_2 and Au-WSe_2 heterostructures strongly depends on the catenary-like field enhancement induced by the Au cavity,resulting in room-temperature Rabi splitting ranging between 77.86 and 320 me *** plasmonic metamaterial cavities can pave the way for manipulating excitons in TMDCs and operating active nanophotonic devices at ambient temperature.

关键词： catenary-shaped field enhancement strong coupling plasmon exciton Rabi splitting

Quantum learning control using differential evolution with equally-mixed strategies

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Control Theory and technology 2017年第3期15卷 226-241页

作者： Hailan MA Daoyi DONG Chuan-Cun SHU Zhangqing ZHU Chunlin CHEN school of Management and engineering Nanjing University Nanjing Jiangsu 210093 China school of engineering and information technology University of New South Wales Canberra ACT 2600 Australia

Learning control has been recognized as a powerful approach in quantum information technology. In this paper, we extend the application of differential evolution （DE） to design optimal control for various quantum systems. Various DE methods are introduced and analyzed, and EMSDE featuring in equally mixed strategies is employed for quantum control. Two classes of quantum control problems, including control of four-level open quantum ensembles and quantum superconducting systems, are investigated to demonstrate the performance of EMSDE for learning control of quantum systems. Numerical results verify the effectiveness of the FMSDE method for various quantum systems and show the potential for complex quantum control problems.

关键词： Differential evolution with equally-mixed strategies (EMSDE) quantum learning control superconducting circuits quantum control

Few-shot text classification by leveraging bi-directional attention and cross-class knowledge

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Science China(information Sciences) 2021年第3期64卷 33-45页

作者： Ning PANG Xiang ZHAO Wei WANG Weidong XIAO Deke GUO Science and technology on information engineering Laboratory National University of Defense Technology school of Computer Science and engineering The University of New South Wales

Few-shot text classification targets at the situation where a model is developed to classify newly incoming query instances after acquiring knowledge from a few support instances. In this paper, we investigate few-shot text classification under a metric-based meta-learning framework. While the representations of the query and support instances are the key to the classification, existing study handles them independently in the text encoding stage. To better describe the classification features, we propose to exploit their interaction with adapted bi-directional attention mechanism. Moreover, distinct from previous approaches that encode different classes individually, we leverage the underlying cross-class knowledge for classification. To this end,we conceive the learning target by incorporating the large margin loss, which is expected to shorten the intra-class distances while enlarging the inter-class distances. To validate the design, we conduct extensive experiments on three datasets, and the experimental results demonstrate that our solution outperforms its state-of-the-art competitors. Detailed analyses also reveal that the bi-directional attention and the cross-class knowledge both contribute to the overall performance.

关键词： text classification meta-learning few-shot learning bi-directional attention cross-class knowledge