Pattern queries are widely used in complex event processing (CEP) systems. Existing pattern matching techniques, however, can provide only limited performance for expensive real-world applications, which may involve Kleene closure patterns, flexible selection strategies, and events with imprecise timestamps. To support these high performance, we begin our study by analyzing the complexity of queries, a focus on fundamental understanding features make more expressive at same time...

Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays key role monitoring applications these Existing work on evaluation, however, assumes that the occurrence time each is known precisely and events from various sources can be merged into single stream with total or partial order. We observe real-world times often unknown imprecise. Therefore, we propose temporal model assigns interval to represent all its possible revisit under...

Abstract A mature theoretical model is an integral component of pavement management systems. Typically, such models encompass performance prediction, cost–benefit analysis maintenance measures, and decision-making frameworks for strategies. This paper primarily investigates the economic decision planning aspects measures. Initially, considering greenhouse gas emissions, a comprehensive cost evaluation conducted three typical measures (microsurfacing, slurry sealing, milling with overlay),...

Abstract As a highly promising nanomaterial, exploring the impact of liver, vital organ, stands out as crucial focus in examination its biological effects. Kupffer cells (KCs) are one first immune to contact with exotic‐substances liver. Therefore, this study investigates immunomodulatory effects and mechanisms polyethylene glycol‐modified graphene oxide (GO‐PEG) on KCs. Initial RNA‐seq KEGG pathway analyses reveal inhibition TOLL‐like receptor, TNF‐α NOD‐like receptor pathways continually...

Surface plasmon (SP) amplification by stimulated emission of radiation (spaser) the active nanoshell with three-layer silica-gold-silica structure is proposed. The properties spaser are numerically analyzed based on Mie theory. results show that nanoshell-based one order magnitude higher than nanosphere-based and nanoegg-based spasers in surface amplification, but gain threshold kthre silica nearly lower. In addition, behavior depends structural parameters explained quenching effect,...

In this paper, we present a new control-theoretic framework to efficiently design balanced coordinated resource allocation algorithms in network based on semistabilization theory for discrete-time stochastic linear systems together with compartmental modeling. Specifically, necessary and sufficient conditions equivalent, characterizations of the proposed problem are derived, which notion semiobservability semistable Lyapunov equation. With theory, first unveil striking connection between...

In this paper, a new swarm optimization algorithm, called Multiagent Coordination Optimization (MCO) is developed, which based on the Particle Swarm (PSO) and cooperative control of multiple agents, to optimize general nonlinear objective functions for unconstrained problems. The standard PSO algorithm needs local optimal position achieve global position, generated by minimum value between current actual position. Different from this, here we use consensus-based term calculate MCO, widely...

In this paper, a parallel computing implementation of multiagent coordination optimization (MCO) algorithm is introduced using parfor, built-in MATLAB function. As novel variation particle swarm (PSO), the MCO has demonstrated significant performance improvement, in terms both accuracy and efficiency, solving real-time problems when compared with PSO. However, ability to handle large-scale or use more particles limited by sequential original algorithm. A numerical evaluation was conducted...

In this paper, a multiagent coordination framework is introduced for recently developed swarm intelligence optimization algorithm, so-called "Bat Searching Algorithm" or (BA). Due to great success of cooperative applications in control areas, such as consensus problems and formation systems, idea used embedded into algorithm. Specifically, graph communication topology protocol BA share the velocity information bats. This proposed Cooperative Bat Algorithm (CBA) shows faster convergence rate...

Wind erosion from farmland is a significant contributor to atmospheric particulate matter, particularly PM

In this paper, a novel binary swarm optimization algorithm, called Binary Multiagent Coordination Optimization (BMCO) is proposed by introducing communication topology for the particles in algorithm and using recently developed multiagent consensus protocols from control theory. Due to term embedded into update formula velocity, BMCO shows faster convergence rate than standard Particle Swarm (BPSO). We use eight benchmark functions test performance of BPSO, BMCO, variation BPSO Novel...

In this paper, inspired by speed-up and speed-down (SUSD) mechanism observed the fish swarm avoiding light, an SUSD strategy is proposed to develop new intelligence based optimization algorithms enhance accuracy efficiency of algorithms. By comparing with global best solution, each particle adaptively speeds up down towards solution. Specifically, a directed speed term added original (PSO) algorithm or other PSO variations. Due mechanism, shows great improvement convergence rate compared The...

In this paper, a new particle swarm optimization (PSO) inspired intelligence algorithm, so called hybrid multiagent (HMSO) is proposed and investigated for mixed-binary nonlinear programming (MBNLP) problems. This HMSO including continuous optimizer binary optimizer, motivated by the recently developed results about coordination network systems. Specifically, algorithm not only shares global optimal solution among particles like PSO but also neighboring particle's velocity position...

In this report, a novel variation of Particle Swarm Optimization (PSO) algorithm, called Multiagent Coordination (MCO), is implemented in parallel computing way for practical use by introducing MATLAB built-in function "parfor" into MCO. Then we rigorously analyze the global convergence MCO means semistability theory. Besides sharing optimal solutions with PSO algorithm integrates cooperative swarm behavior multiple agents update formula velocity and position information between neighbors to...

A new optimal distributed linear averaging (ODLA) problem is presented in this paper. This motivated from the which arises context of algorithms computer science and coordination groups autonomous agents engineering. The aim ODLA to compute average initial values at nodes a graph through an algorithm can only communicate with their neighbors. Optimality given by minimization quadratic cost functional under infinite horizon. We show that has very close relationship notion semistability. By...

In this paper, we extend the results of previous paper in 2011 American Control Conference into a more general case. literature, topologies for velocity and position are assumed to be same. However, some cases, both different, even one them is disconnected, due different detection technique. Therefore investigate topological heterogeneity formation control synchronization protocols. The requirement connectivity relaxed. Since choice topology case much available than that connected topology,...

The synchronization control of multi-agent systems plays a significant role in military and civil applications. This paper investigates the acceleration motion unlike other protocols, we introduce constant value into protocol, which acts as agents. Furthermore, expand protocol formation by multi-agents can achieve desired formations. Simulations are provided for both additionally adopt Amigobots our experiment environment to verify theoretical results. Compared with Matlab simulations,...