Many networks exhibit the core/periphery ***/periphery structure is a type of meso-scale structure that consists of densely connected core nodes and sparsely connected peripheral *** nodes tend to be well-connected,bo...
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Many networks exhibit the core/periphery ***/periphery structure is a type of meso-scale structure that consists of densely connected core nodes and sparsely connected peripheral *** nodes tend to be well-connected,both among themselves and to peripheral nodes,which tend not to be well-connected to other *** this brief report,we propose a new method to detect the core of a network by the centrality of each *** is discovered that such nodes with non-negative centralities often consist in the core of the *** simulation is carried out on different real *** results are checked by the objective *** checked results may show the effectiveness of the simulation results by the centralities of the nodes on the real ***,we discuss the characters of networks with the single core/periphery structure and point out the scope of the application of our method at the end of this paper.
The current urban intelligent transportation is in a rapid development stage, and coherence control of vehicle formations has important implications in urban intelligent transportation research. This article focuses o...
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Effective path planning is crucial for mobile robots to quickly reach rescue destination and complete rescue tasks in a post-disaster *** this study,we investigated the post-disaster rescue path planning problem and m...
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Effective path planning is crucial for mobile robots to quickly reach rescue destination and complete rescue tasks in a post-disaster *** this study,we investigated the post-disaster rescue path planning problem and modeled this problem as a variant of the travel salesman problem(TSP)with life-strength *** address this problem,we proposed an improved iterated greedy(IIG)***,a push-forward insertion heuristic(PFIH)strategy was employed to generate a high-quality initial ***,a greedy-based insertion strategy was designed and used in the destruction-construction stage to increase the algorithm’s exploration ***,three problem-specific swap operators were developed to improve the algorithm’s exploitation ***,an improved simulated annealing(SA)strategy was used as an acceptance criterion to effectively prevent the algorithm from falling into local *** verify the effectiveness of the proposed algorithm,the Solomon dataset was extended to generate 27 instances for ***,the proposed IIG was compared with five state-of-the-art *** parameter analysiswas conducted using the design of experiments(DOE)Taguchi method,and the effectiveness analysis of each component has been verified one by *** results indicate that IIGoutperforms the compared algorithms in terms of the number of rescue survivors and convergence speed,proving the effectiveness of the proposed algorithm.
Moderate ultraviolet(UV)radiation from sunlight is essential for human health,but overexposure to UV rays can cause serious adverse *** is important to detect UV radiation from sunlight in time to prevent damage from ...
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Moderate ultraviolet(UV)radiation from sunlight is essential for human health,but overexposure to UV rays can cause serious adverse *** is important to detect UV radiation from sunlight in time to prevent damage from excessive ***,a ready-to-use,easy-to-interpret,inexpensive,reusable,and wearable all-in-one UV monitoring and shielding sensor SP-TPE@PU textile has been *** SP-TPE@PU textiles are constructed by photochromic molecule SP-TPE and commercial polymer polyurethane(PU)through *** SP-TPE molecule acts as the sensor component,and PU contributes to high *** SP-TPE@PU textiles show remarkable durability(against repeated twisting,curling,bending deformations,and water immersion)and good permeability,making them durable and breathable wearable *** exposed to sunlight,the SP-TPE@PU textiles rapidly exhibit significant color changes due to the efficient isomerization of SP-TPE,serving as an early warning and monitoring of UV *** addition,the SP-TPE@PU textiles can revert to the initial state with visible light irradiation for ***,the SP-TPE@PU textiles possess excellent UV shielding ability,contributing to human body *** and easy operation,significant and reversible color changes,good breathability and mechanical properties make SP-TPE@PU textiles reusable and wearable all-in-one UV monitoring and shielding sensors.
Emotion recognition plays a crucial role in various fields and is a key task in natural language processing (NLP). The objective is to identify and interpret emotional expressions in text. However, traditional emotion...
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Emotion recognition plays a crucial role in various fields and is a key task in natural language processing (NLP). The objective is to identify and interpret emotional expressions in text. However, traditional emotion recognition approaches often struggle in few-shot cross-domain scenarios due to their limited capacity to generalize semantic features across different domains. Additionally, these methods face challenges in accurately capturing complex emotional states, particularly those that are subtle or implicit. To overcome these limitations, we introduce a novel approach called Dual-Task Contrastive Meta-Learning (DTCML). This method combines meta-learning and contrastive learning to improve emotion recognition. Meta-learning enhances the model’s ability to generalize to new emotional tasks, while instance contrastive learning further refines the model by distinguishing unique features within each category, enabling it to better differentiate complex emotional expressions. Prototype contrastive learning, in turn, helps the model address the semantic complexity of emotions across different domains, enabling the model to learn fine-grained emotions expression. By leveraging dual tasks, DTCML learns from two domains simultaneously, the model is encouraged to learn more diverse and generalizable emotions features, thereby improving its cross-domain adaptability and robustness, and enhancing its generalization ability. We evaluated the performance of DTCML across four cross-domain settings, and the results show that our method outperforms the best baseline by 5.88%, 12.04%, 8.49%, and 8.40% in terms of accuracy.
Entanglement in macroscopic systems,as a fundamental quantum resource,has been utilized to propel the advancement of quantum technology and probe the boundary between the quantum and classical *** study focuses on a u...
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Entanglement in macroscopic systems,as a fundamental quantum resource,has been utilized to propel the advancement of quantum technology and probe the boundary between the quantum and classical *** study focuses on a unique hybrid quantum system comprising of an ensemble of silicon vacancy(SiV)centers coupled to phononic waveguides in diamond via strain *** employing two sets of time-dependent,non-overlapping driving fields,we investigate the generation process and dynamic properties of macroscopic quantum entanglement,providing fresh insights into the behavior of such hybrid quantum ***,it paves the way for new possibilities in utilizing quantum entanglement as an information carrier in quantum information processing and quantum communication.
Nearly all real-world networks are complex networks and usually are in danger of ***,it is crucial to exploit and understand the mechanisms of network attacks and provide better protection for network *** dismantling ...
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Nearly all real-world networks are complex networks and usually are in danger of ***,it is crucial to exploit and understand the mechanisms of network attacks and provide better protection for network *** dismantling aims to find the smallest set of nodes such that after their removal the network is broken into connected components of sub-extensive *** overcome the limitations and drawbacks of existing network dismantling methods,this paper focuses on network dismantling problem and proposes a neighbor-loop structure based centrality metric,NL,which achieves a balance between computational efficiency and evaluation *** addition,we design a novel method combining NL-based nodes-removing,greedy tree-breaking and ***,we compare five baseline methods with our algorithm on ten widely used real-world networks and three types of model networks including Erd€os-Renyi random networks,Watts-Strogatz smallworld networks and Barabasi-Albert scale-free networks with different network generation *** results demonstrate that our proposed method outperforms most peer methods by obtaining a minimal set of targeted attack ***,the insights gained from this study may be of assistance to future practical research into real-world networks.
The grey wolf optimizer(GWO),a population-based meta-heuristic algorithm,mimics the predatory behavior of grey wolf *** exploring and introducing improvement mechanisms is one of the keys to drive the development and ...
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The grey wolf optimizer(GWO),a population-based meta-heuristic algorithm,mimics the predatory behavior of grey wolf *** exploring and introducing improvement mechanisms is one of the keys to drive the development and application of GWO *** overcome the premature and stagnation of GWO,the paper proposes a multiple strategy grey wolf optimization algorithm(MSGWO).Firstly,an variable weights strategy is proposed to improve convergence rate by adjusting the weights ***,this paper proposes a reverse learning strategy,which randomly reverses some individuals to improve the global search ***,the chain predation strategy is designed to allow the search agent to be guided by both the best individual and the previous ***,this paper proposes a rotation predation strategy,which regards the position of the current best individual as the pivot and rotate other members for enhacing the exploitation *** verify the performance of the proposed technique,MSGWO is compared with seven state-of-the-art meta-heuristics and four variant GWO algorithms on CEC2022 benchmark functions and three engineering optimization *** results demonstrate that MSGWO has better performance on most of benchmark functions and shows competitive in solving engineering design problems.
Monocular object 6D pose estimation is a fundamental yet challenging task in computer vision. Recently, deep learning has been proven to be capable of predicting remarkable results in this task. Existing works often a...
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A memristor crossbar array (MCA) has emerged as a cutting-edge platform for advanced memory and neuromorphic computing hardware,offering unrivaled bit-level storage density.A diffusive memristor cell (DMC) is particul...
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A memristor crossbar array (MCA) has emerged as a cutting-edge platform for advanced memory and neuromorphic computing hardware,offering unrivaled bit-level storage density.A diffusive memristor cell (DMC) is particularly well-suited for MCA integration due to its inherent threshold switching characteristics as a selector,effectively addressing current sneak path *** DMC's potential is acknowledged,it necessitates furtherexploration of their practical applicability.
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