The development of connected vehicle technology enables the coordinated control of vehicle group behaviors. This article investigates traffic flow characteristics in on-ramp areas from two aspects: road geometry length and lateral spatial distributions of traffic flow. The upstream and downstream flow-balance strategies for each lane in on-ramp areas are proposed. In different traffic conditions, various

Cognitive radio technology deals with the problem of spectrum scarcity. Such technology allows the secondary users (SUs) to access the primary users’s (PUs) channels without causing harmful interference to the PU’s transmission. In this paper, a novel multi-class SU cognitive radio model is introduced where each SU class has the ability to sense and operate on a subset of the network channels. Such

The paper presents the Stackelberg Game (SG) based model for automating security decisions in Cloud Computing systems (CC). The presented model enables to describe the attack-defense scenarios. The game incorporates two types of players competing against each other: defender and attacker. The Cloud provider is the leader. He is allowed to play his strategy first. The attackers, hackers or other malicious

Overtaking events performed by non-motorized vehicles have a profound effect on the level of service and safety of roads shared by motorized and non-motorized vehicles. With the proliferation of e-bikes, heterogeneity within non-motorized vehicles has grown, which results in the speed of these vehicles spreading out. As a result, the frequency of overtaking has risen, causing the decision-making process

Big data needs to be delivered to remote devices via wireless links in many applications such as North Pole monitoring, UAV communications, smart city crowd-sourcing, etc. Single routing path may not be able to meet the ultra-high-throughout requirements of wireless big data delivery. A pipe-like path consisting of closely coupled links (forming a bundle) is more suitable to big data transmissions

Cloud computing is a new trend in information technology that provides resources and shares services by web services over the internet for users. Many web services have similar functionality with different quality of service (QoS) in the cloud. Thus, an appropriate service composition method is needed to assign an optimal composition of services to the users. Furthermore, service level agreement (SLA)

Incidences of seasonal influenza are increasing in severity with significant impacts on human health and on economy, due to missed working hours. As transmission of influenza is highest in spaces where persons are in close proximity, public transport networks are increasingly vulnerable in strategies to manage potential influenza epidemics. In this work, we integrate into an agent-based framework,

Many real-life systems in production and transportation logistics are complex, large-scale, and stochastic in nature. As a consequence, simheuristic approaches – which integrate simulation inside a metaheuristic framework – are becoming increasingly popular in the optimization and simulation communities. In a simheuristic algorithm, time-consuming simulation runs are required in order to: (i) obtain

With the widespread of spiral bevel gears in aero-engines applications, it becomes a burning challenge to reduce the windage power loss owing to the high-speed rotation of these gears. As shrouding the gears has been manifested as an effective approach to reducing windage power losses and restricting the flow in the vicinity of gear teeth, a shroud in this paper is introduced to enclose the high-speed

The design of new computer architectures relies heavily on simulation. New architectures that incorporate unconventional features or novel designs can not usually use established simulators and, therefore, designers have to adapt an existing one or develop their own from scratch. Traditionally, software-based simulators have been the main platform for architectural exploration. However, the introduction

Queueing-inventory models have many practical applications and have been studied extensively in the literature. Most of the studies focus on models in which the the demands occur singly. Only a very few papers analyze models wherein the demands occur in batches. In this paper we consider batch demands in the context of two models, both of which assume that the demands occur according to a versatile

Internet of Things (IoT), cloud computing, big data processing, and artificial intelligence are cutting-edge technologies that have been changing the world. These technologies support each other and create many cross disciplinary and interdisciplinary domains of studies and applications. IoT connects the devices in the physical world to the virtual world through Internet and various protocols. The

One of the solutions for handling and treating the diverse data related to the sustainability of an agroecosystem is the use of Information Systems and Internet of Things. In this work, we adopt a methodology called Indicators of Sustainability in Agroecosystems (Indicadores de Sustentabilidade em Agroecossistemas – ISA), implement an information system based on Internet of Things and apply Data Science

In recent years, realizing safe and efficient air traffic management (ATM) has become one of the most important social issues because of the rapid increase in air traffic volume. To realize safe and efficient ATM, it is necessary for related stakeholders to share aeronautical big data by connecting to aircrafts and ground systems efficiently and globally. However, the current aeronautical communication

This paper presents a distributed evolutionary learning control based on social wound treatment for mobile robot navigation using an integrated multi-robot system comprised of simulated and physical robots. To do so, this work proposes an extension of the population-based metaheuristic wound treatment optimization (WTO) method into a distributed scheme. In addition, this distributed WTO method is implemented

With the proliferation of smart meters in smart grids, new challenges have emerged in the energy sector and applications are continuously developed, mainly concerning data analytics to address those challenges. Traditionally, data analytics in smart grid systems is performed in server-side tier; however, it is necessary to process data analytics close to the smart meter to achieve better performance

This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban arterials based on the information of connected and Bluetooth equipped vehicles. Online traffic flow prediction using real-time data derived from different sensors is still an open research subject. To this end, a Kalman Filter model is developed to predict traffic flow based on two sources of real-time data

The ever-increasing growth of data centres and fog resources makes difficult for current simulation frameworks to model large computing infrastructures. Therefore, a major trade-off for simulators is the balance between abstraction level of the models, the scalability, and the performance of the executions. In order to balance better these, early forays can be found in the literature in which AI techniques

Smart home automation systems allow the user to control and track lighting, security, ventilation and temperature systems more easily. While these systems provided easy control of the house depending on the commands only given by the user in the early period, today with artificial intelligence algorithms developed for energy saving, home security, control etc., these systems have begun to perform many

Inefficient resource usage is one of the greatest causes of high energy consumption in cloud data centers. Virtual Machine (VM) consolidation is an effective method for improving energy related costs and environmental sustainability for modern data centers. While dynamic VM consolidation algorithms can improve energy efficiency, virtualisation technologies cannot guarantee performance isolation between

Fuzzing has become an important approach in recent years in detecting vulnerabilities in industrial control system and its network protocol. Traditional fuzzing methods have the shortcomings of low efficiency and blindness. To solve this problem, we have developed an improved fuzzing method based on exception field positioning. The method adds a positioning phase in the testing procedure. We have established

As a popular application of cloud computing, cloud storage has been widely used. In distributed computing system, blockchain as a secure mechanism is often used to store data, such as account information, trading record, and others. Once any data is saved in blockchain, it is sealed and cannot be changed any more. All the data copies must be consistent in blockchain. In cloud computing, data is always

Using multi-source sensing data based on the Internet of Things (IoT) with artificial intelligence and big data processing technology to achieve predictive maintenance of mechanical equipment can remarkably improve the service life of the machine and reduce labor costs when diagnosing mechanical faults, and it has become a highly relevant research topic. In this paper, the multi-source sensing data

Conceptual Modeling (CM) is a fundamental step in a simulation project. Nevertheless, it is only recently that structured approaches towards the definition and formulation of conceptual models have gained importance in the Discrete Event Simulation (DES) community. As a consequence, frameworks and guidelines for applying CM to DES have emerged and discussion of CM for DES is increasing. However, both