The purpose of this paper is to show how the knowledge of Process Mining techniques can provide a robust premise to build a Discrete Event Simulation (DES) model of a healthcare process. In order to analyze some specific processes of an ophthalmology ward of a large Italian hospital, ProM6 framework was implemented, which supports process mining techniques in form of plug-ins; the plug-ins process

Nowadays, cloud computing is an emerging technology due to virtualization and providing low price services on pay-as per-use basis. One of the main challenges in this regard is how to evaluate different models of the cloud resources usage and the ability of cloud systems based on QoS constraints. Experimentation in a real environment is very difficult and expensive. Therefore, many works pay much attention

Human stampedes have been identified as a major hazard that could occur during pedestrian evacuations around the world. This paper establishes an extended floor field model to study the pedestrian evacuation dynamics during stampedes. The event floor field and a tumble factor are elaborated to describe the influence of stampedes. Different evacuation strategies are proposed to represent the behavioral

Rock machining has been widely used in many industries. In order to better understand the fracture and removal mechanism for rock materials during abrasive machining, a two-dimensional scratch model was developed using the hybrid finite-discrete element method (FDEM). The crack propagation during the abrasive machining process was simulated by inserting zero-thickness cohesive elements. Based on the

Many applications in intelligent transportation systems are demanding an accurate vehicle Global Position System (GPS) location prediction. In this study, we satisfy this demand by designing an automated GPS location prediction system based on the well known traditional Auto-Regressive Integrated Moving Average (ARIMA). To increase the proposed model accuracy, make it dynamic, and reduce its execution

The use of battery power is becoming widespread rapidly among the mega ports worldwide, owing its low emission and high energy efficiency. In this paper, a simulation approach is presented to configure the charging stations (CSs) and battery-powered automated guided vehicles (B-AGVs) at automated container terminals. The facility planning of the CSs and the operation strategies of the B-AGVs are crucial

The present research study was aimed at studying the impact of machining parameters on grain size alterations in machining of Ti6Al4V alloy using finite element analysis (FEA) based on the Johnson-Mehl-Avrami-Kolmogorov (JMAK) recrystallization model. The machining parameters consisted of both cutting conditions and tool geometry including cutting speed, feed rate, tool edge radius and rake angle.

Manufacturing companies need to be effective in meeting customers’ delivery requirements. Due to customers’ expectations of shrinking delivery times, manufacturing lead times need to be short. This can be achieved through efficient Production Activity Control (PAC) methods. Currently PAC methods rely mostly on centralized decision-making and, seeming not to be adequate to deal with the increasing complexity

The attack surface of a modern vehicle increases with its connectivity. A strategy to prevent attacks or at least to identify such attacks and to mitigate their effects is therefore imperative. The detection of indications for intrusive behavior in an in-vehicle network is an important aspect of a holistic security concept. The structure of the payload of in-vehicle messages with respect to the encoded

To this day, sales & operations planning (S&OP) remains one of the most critical challenges of supply chain management in terms of improving customers’ experience level and managing supply chain costs. Nowadays the synchronization of sales essentials and industrial restrictions in an uncertain environment is critical for all global companies facing complexity in supply chain networks and operations

Traffic flow modeling has evolved over a few decades with numerous models at the macroscopic and microscopic levels being proposed. It appears that traffic flow modeling has been adequately addressed and it is natural to ask if there is still any gap to fill or any room to improve. After examining existing models and comparing them against ideal outcomes, we identified four limitations in both traffic

Modeling and persistence of different data structures in indoor positioning systems is a requirement for providing a large number of specialized location-based services. Collection and diversification of indoor positioning systems’ metadata are important to understand the context of the system’s operation to create a positive feedback improvement loop. While metadata from a residential building’s indoor

This paper tries to display complete thermo-hydrodynamic research in journal bearings, investigating the growing pressure and temperature rise inside the bearing during operation. The narrow and infinitely long bearings are extensively investigated including analytical solutions either for plain journal bearing, or journal bearing with an axial groove. In narrow bearing approximation, the temperature

Double cycling is used to improve the efficiency of quay cranes (QCs). However, higher QCs utilization increases the highest observed peak power demand of QCs, leading to a higher energy-related costs. Thus, this paper investigates the opportunities for peak shaving the power demand of QCs with double cycling by limiting the number of lifting QCs or the maximal energy demands of QCs. And some evaluation

This paper presents a processing model for big IoT data. The model includes a continuous delivery scheme based on building blocks for constructing software pipelines from the edge to the cloud. It also includes a data preparation scheme based on parallel patterns for establishing, in an efficient manner, controls over the production and consumption of IoT data. This scheme adds data properties such

The design and control of robotic shooting control systems in defense systems is one of the important research topics in recent years. This study focuses on the design, modeling, and success of the shooting control system of the 14 Degrees of Freedom (DoF) Four Legged Hunter Robot (FLH) system with 2 DoFs gun barrel systems. The three-dimensional dynamic model of the FLH-Robot with gun barrel system

Cloud computing is being rapidly adopted for managing IT services as a notable solution due to diverse beneficiaries such as automatically optimized resource management as well as modern service delivery models. The container as a service has been recently introduced by cloud providers as a new service apart from traditional cloud services. Containers enable applications to run and deploy on isolated

Numerical simulation of limestone rock mass blasting was carried out using the two-dimensional particle flow code (PFC2D) within the discrete element modeling framework, and the explosion load was loaded using the particle expansion algorithm. A field experiment of rock blasting was also carried out from which the size of the blasting funnel and the maximum blasting vibration velocity were recorded

The agent-based modeling and simulation (ABMS) paradigm has been used to analyze, reproduce, and predict phenomena related to many application areas. Although there are many agent-based platforms that support simulation development, they rely on programming languages that require extensive programming knowledge. Model-driven development (MDD) has been explored to facilitate simulation modeling, by

The pervasive integration of ‘things‘ in the Internet of Things together with state-of-the-art computer systems provide a stimulating environment for creativity and business opportunities, but also a large range of security challenges. Engineering the security of such systems must acknowledge the peculiar conditions under which such systems operate: low computational capacity, distributed decision-making

In this paper, we propose a scheme which aims at determining and forecasting sampling rate of active biosensors in Wireless Body Area Networks (WBANs). In this regard, from the first round until a certain round, the sampling rate of biosensors would be determined. Accordingly, we introduce our modified Fisher test, develop Spline interpolation method, introduce three main parameters namely information

Human resources management (HRM) is the strategic approach of managing people in organizations. HRM can be naturally represented as a complex system of autonomous human agents, whose interactions are influenced by mutually reinforcing HRM strategies, policies, and practices. Stochastic and dynamic human interactions could lead to emergent phenomena of organizational performance in the long-term. Therefore

Advances in technology and the rise of new computing paradigms, such as Fog computing, may boost the definition of a new generation of advanced support services in critical applications. In this paper we explore the possibilities of a Wireless Sensor Network support (WSN) for a Fog computing system in an emergency management architecture that has been previously presented. Disposable intelligent wireless

In automated warehouses, multiple automated guided vehicles (AGVs) are widely used to sort parcels for improving storage efficiency. However, as the number of AGVs increases, the scheduling complexity also increases dramatically. This paper proposes a hierarchical planning algorithm for efficiently coordinating a fleet of AGVs in warehouses based on global vision. We use the camera installed on the

Log yards store huge volumes of roundwood to provide raw material for the production process at sawmills. In order to achieve that, considerable transport efforts, usually done by wheel loaders and log stackers, are required. The automation of a log yard using automated storage components (ASCs) might be a promising way to simplify log yard processes and reduce costs. To address the related automated

The reliable and optimised design of a drainage system for saturated slopes is often a challenging geotechnical task. Such a task becomes even more challenging when a slope contains pre-existing joints and discontinuities. In saturated and semi-saturated conditions, the existence of joints may lead to a complex distribution of pore water pressure within the slope, affecting the effective stress distribution

In order to optimize the process parameters of high residual stress on the surface of Ti-6Al-4V alloy sheet which is obtained after ultrasonic rolling, the effects of static pressure, ultrasonic rolling amplitude and time on surface residual stress are investigated. Firstly, the ultrasonic rolling experiment was carried out under different static pressure conditions, and then the distribution of residual

Cloud service selection process is significantly challenging and complicated as there are various QoS factors to consider when selecting cloud services. This paper proposes a new QoS-aware selection model systematically and succinctly representing QoS attributes which cloud consumers can easily use and understand when selecting cloud services. In order to ensure the credibility of the cloud service

One of the most challenging problems in the field of machining is to determine the onset of shear localization. The consequences of the emergence of shear localized chips are fluctuations in the machining forces, tool wear, deterioration of the surface quality and out-of-tolerance machined components. Several constitutive material models are developed for the simulation of shear localization during

System entity structure has been used since the 1970s as a formal ontology framework, axiomatically defined, to represent the elements of a system of systems and their hierarchical relationships resulting in a family of hierarchical models. One challenge with this approach is the process of exploring a family of hierarchical models, and selecting a particular composition from which a fit-for-purpose

Subsea observation networks have been increasingly used to explore oceans. However, the stability of the entire system remains a crucial problem. In 2015, flashover discharge occurred in a transmission line during a sea trial in the South China Sea, thereby resulting in node destruction and serious losses. This study investigates flashover discharge in the transmission line and aims to determine its

In-pit crushing and conveying (IPCC) systems (whether fixed, mobile, or semi-mobile) are an alternative to the traditional truck/shovel approach to materials handling, offering potential cost savings. However, assessing the viability of one of these systems for an existing or planned open-pit mine from an operational standpoint presents a great deal of challenge given the complexity of the problem

This paper presents a generic methodology for fault forecasting or prognosis in industrial equipment. Particularly, this technique regards training some unsupervised machine learning model using high amount of historical process data from such equipment as input and stop data as reference. The goal is to correlate as strongly as possible the anomalies found by the model in the process data with upcoming

Cloud computing has become a promising solution for scientific workflow applications, due to its various assets. Workflow scheduling is a well-known NP-complete problem, so difficult to solve since there are no optimal solutions. Several workflow scheduling works aim at optimizing the makespan and the budget. However, more investigations are needed for appropriate resources chosing in the large set

The assurance of transmission quality in computer networks appears to be an important issue, particularly from the perspective of rapid development of computer networks. In the previous research there were many attempts to implement various Quality of Service (QoS) techniques. Unfortunately, QoS parameters are not always assured - most frequently user pays certain amount of money for transmission parameters

Cognitive radio (CR) technology has been proposed to solve the inefficient spectrum utilization resulted from the traditional fixed spectrum allocation strategy used in wireless systems. Through dynamic and opportunistic spectrum access, CR users can significantly improve spectrum utilization. Most of existing spectrum access schemes designed for CR networks (CRNs) targeted either uni-cast transmission

In this paper, we consider the process of collection of deteriorating goods from intermediate storage locations and their delivery to a processing plant of a storage facility within a given period. During this process, the collection vehicles make multiple trips. Since the quality of products decays in time, it is necessary to find the optimal scheduling of collection vehicles and determine the optimal

Standardization processes and collaborative tools are becoming essential for interoperable modeling and simulation of power systems. The implementation of new electrical network codes at European level requires the development of a common grid modeling exchange standard. Consequently, this requires the development of dynamic models which expose their individual and integrated physical behavior in simulations

We consider an IoT network with energy-harvesting capabilities. To extend the network lifetime, we propose a novel unmanned aerial vehicle (UAV)- enabled wireless power transfer (WPT) system, where UAVs move among IoT devices and act as data aggregators and wireless power providers. This paper addresses the decision-making problem since the limited buffer and energy resources constrain all nodes. Each

In port planning, studies regarding port capacity choice are essential for resource allocation. Even though simulation is a method that enables detailing and flexibility for analyzing complex systems such as ports and terminals, it was not found in a systematic literature review a robust method for port capacity assessment based on simulation and capable of analyzing port operations from inland accesses

With the exponential growth in the number of internet-enabled devices, large scale security threats such as distributed denial of service (DDoS) attacks significantly affect software defined networks (SDNs). This necessitates efficient detection and mitigation solutions. Monitoring of SDN activities (typically identified using metrics such as throughput, jitter and response time) to ascertain deviations

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

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 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 Markovian

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

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,

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)

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

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

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

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

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