Internet of Underwater Things (IoUT) is growing an attractive zone of the research to explore the underwater scenario for surveillance. The autonomous manner of Unmanned Aerial Vehicles (UAV) or Drone makes search and surveillance of the target underwater region effectively. Drone gather, analyse, and transmit data at the time of flight by consuming battery energy. Underwater search and monitoring

In recent years, building business applications from independently developed services has become one of the current trends in service computing. To satisfy clients’ requirements, service composition is performed to compose the various capabilities of available services. With the proliferation of services having similar functionalities, assessing the quality of a given composition is a paramount factor

From climate action to public health measures, human collective endeavors are often shaped by different uncertainties. Here we introduce a novel population-based learning model wherein a group of individuals facing a collective risk dilemma acquire their strategies over time through reinforcement learning, while handling different sources of uncertainty. In such an N-person collective risk dilemma

The COVID-19 emergency suddenly obliged schools and universities around the world to deliver on-line lectures and services. While the urgency of response resulted in a fast and massive adoption of standard, public on-line platforms, generally owned by big players in the digital services market, this does not sufficiently take into account privacy-related and security-related issues and potential legal

Various numerical models have been used to understand and predict ocean dynamics. For this reason, many information technology (IT) resources are required for high-resolution global ocean modeling. The development of cloud-computing technologies has enabled earth scientists to easily use numerical ocean models that require high-performance computing (HPC) and message-passing interface (MPI) software

Healthcare is one of the most important disciplines to ensure life quality for human beings, especially in unpredictable scenarios such as accidents, natural disasters, or terrorism. In these cases, Emergency Medical Services (EMS) face significant challenges due to the complex nature of pre-hospital events, coordinating several resources according to the collected information in a short time. In this

Modeling of air quality is a statistical simulation of how air pollutants spread and react in the environment to impact the quality of atmospheric air. A 2-Phase assessment simulation model is presented to assess air quality to evaluate the toxic level of each pollutant in the air, which can harm the health of sensitive people. The first phase calculates the score for each factor of air quality using

Safeguarding and type approval of automated vehicles is a key enabler for their market launch in our complex traffic environment. Scenario-based testing by means of computer simulation is becoming increasingly important to cope with the enormous complexity and effort. However, there is a huge gap when assessing the safety of the virtual vehicle while the real vehicle will drive on the road. Simulation

The Internet of Things has reached the industry. Allowing connectivity from production plants to the Internet requires appropriate security mechanisms to provide protection against cyber attackers. In this paper, we propose a security architecture for a gateway connecting sensors and automation components from assembly lines with Internet or cloud based systems. A Trusted Platform Module (TPM) is used

In-laboratory mobile device data gathering is useful to support fields of study that rely on data derived from mobile devices as elementary research input. Particularly, Dew Computing, a sub-area of mobile distributed computing, aims at scavenging idle computing resources from mobile devices at the edge. To produce repeatable experiments for developed Dew approaches, simulation of relevant mobile device

Cloud computing has been making significant contributions to Internet of Things, Big Data, and many other cutting-edge research areas in recent years. To deal with the cloud bursting, on-premises private clouds often extend their service capacity with off-premises public clouds, which causes the migration of jobs and their corresponding data from private clouds to public clouds. For jobs executed in

A Cyber–Physical System (CPS) comprises physical as well as software subsystems. Simulation-based approaches are typically used to support design and Verification and Validation (V&V) of CPSs in several domains such as: aerospace, defence, automotive, smart grid and healthcare. Accordingly, many simulation-based tools are available to support CPS design. This, on one side, enables designers to choose

The credibility evaluation method for a single simulation model is relatively mature at present. While there is still a great need to provide an effective credibility evaluation method for complex simulation systems, which is the basic premise to assist the design, test, evaluation and optimization of a complex research object based on constructing its simulation system. In this paper a credibility

The goal of Internet of Things (IoT) is to bring any object online, thereby creating a massive volume of data that can overwhelm the existing computing and networking technologies. Therefore, centered cloud isn't ideal for rapidly expanding IoT environmental requirements. Fog computing (FC) moves some portion of the computing load (related to real-time services) from the cloud into edge fog devices

The products that lose their initial value after a time period are known as deteriorating products and need more appropriate decisions for optimization in a closed-loop supply chain. The studied closed-loop supply chain consists of a manufacturer and a distributing center that are producing and distributing a deteriorating product to customers. The deteriorating products are collected from distribution

Blockchain works according to the principles of distributed transactions and processing tiny hash-based blocks. Data located in the blockchain preserves its integrity and transparency, which enables participants to verify it. Today, people apply blockchain technology in domains that must maintain the integrity of the data. However, people can be reluctant to introduce blockchain technology due to the

The “Internet of Things” (IoT) provide humans and smart objects with attractive services, based on the advanced features of the IoT devices, like high sensing, real-time acting and reasoning. In our previous research we have highlighted that these features can be improved by promoting cooperation between smart objects, and we introduced the association between Multi-Agent Systems and IoT devices. In

The present study aims to solve a system-level problem regarding a journal bearings-gear pump based on a novel simulation model. The developed model consists of different modules: a fluid dynamic model for the pump, a lubrication model for the bearings, a model for the evaluation of shaft motion and a geometrical model. Cavitation models, i.e., the Jakobsson-Floberg-Olsson (JFO)-based model for bearing

Research on the effective use of joint-legged robots continues rapidly in many sectors. However, studies on pentapod robots are rare. In this study, a heavy-duty 5-legged robot on which a manipulator's arm with 3-axis and rotating joints is placed was modeled in a Matlab Simscape Multibody environment. The walking simulations of the robot and the position control of the manipulator arm were carried

Hydro-pneumatic or air suspension might have superior ride quality, yet their severe damage could be too expensive for small-amateur rally teams, difficult, and time-consuming to be solved in the rally service park which has time limitation. Small teams also often struggle to recognize the true performance of their suspension system since full vehicle testing and validation is often performed late

Cloud computing offers computational, storage, and applications capabilities as subscription oriented services. It offers a platform explore computational assets and use them based on "pay per use arrangement". Thus it opens ways to access boundless assets with negligible equipment and programming at the customers' end. This paper focuses on the advancement of a cloud administration's provisioning

Simulating the dynamics and evolution of metropolitan transportation systems serving millions of travelers remains a difficult task, beyond existing standard software's abilities. MATSim (Multi-Agent Transportation Simulation) is the only high-resolution spatially-explicit framework that allows intrinsic population downscaling - simulating the entire system's dynamics based only on a fraction k of

The development of local energy communities and collective self-consumption framework at a large scale requires new control methods that take into account users preferences. This article presents a model of such a community, with diverse actors (photovoltaic generators, electric vehicles, storage system and tertiary buildings). Game theory is used to model the preferences of each user and to build

Early modeling and simulation models used in obesity research tended to be highly detailed on weight dynamics within the body or provided a very simplified view of socio-environmental influences by portraying obesity as a contagious disease (e.g., where weight directly ‘spreads’ among peers). The 2010’s have witnessed the emergence of simulations for obesity as a new interdisciplinary field of research

Mixed-traffic intersections with high-density bicycle traffic flow are one of the most common bottlenecks in the urban traffic network. Due to the shared space and frequent interactions among heterogeneous road users, through bicycle flow shows an obvious tendency of lateral dispersion, resulting in a reduction in traffic efficiency and safety at intersections. A precise evaluation of its impacts on

The embedded system developers often need to perform software testing even when the target hardware is inaccessible. Due to the inaccessibility of the hardware, the hardware-software interaction testing becomes a challenging task. Researchers have tried to overcome this issue by developing an environment model that simulates the behavior of the actual hardware. In the existing literature, environment

Air-supported membrane buildings may suffer from air-leakage caused by the opening of exit, failure of inflation system or environmental force majeure, which is essential for pedestrians' evacuation but receives less attention. The paper proposes a coupling evacuation model based on multi-velocity cellular automaton by incorporating dynamic air-leakage process in evacuation analysis to quantitatively

Auto-scaling of Web applications is an extensively investigated issue in cloud computing. To evaluate auto-scaling mechanisms, the cloud community is facing considerable challenges on either real cloud platforms or custom test-beds. Challenges include – but not limited to – deployment impediments, the complexity of setting parameters, and most importantly, the cost of hosting and testing Web applications

Storage technology has emerged as an indispensable paradigm for processing various applications in cloud data centers. The storage infrastructure consisting of Hard Disk Drives (HDDs) and Solid-State Drives (SSDs) accounts for high energy consumption. Also, the trade-offs between HDDs and SSDs in terms of cost and energy consumption are extremely high. Therefore, disk-based storage subsystems need

Power consumption costs of computer fleets can be one of the main operational costs of medium or large-sized office sites. In order to optimise the power consumption of the fleet, a set of optimal power management policies must be generated and enforced. Generating these policies is an optimisation problem of finding the power off timeout value for each computer that maximises energy savings while

Computer simulations based on numerical methods applied to the equilibrium equations of Newtonian mechanics have significant impact in many industries, because they provide cheaper development of products. Using computer simulations, it is possible to investigate behavior of product parts and assemblies under different boundary conditions, loads and applied materials, which significantly reduces the

In this work, a toolchain for the solidification and the shrinkage of cast salt cores used in high-pressure die casting is implemented in the open-source computational fluid dynamics (CFD) library FOAM-extend to evaluate the displacements resulting from residual stresses. The toolchain consists of three stages, which first calculate the phase change, then generate the residual temperatures and finally

Recent advancements in sensor technology have allowed unmanned aerial vehicles (UAVs) to function as sensing devices in cooperative aerial communication networks, offering novel solutions in applications of environment inspection, disaster detection and search and rescue operations. Towards this trend, the efficient deployment and coordination of UAV networks is of vital importance. Generating controlled

Data-driven modeling for wastewater treatment process (WWTP) under hybrid cloud environment, has been widely regarded as a promising solution. Existing methods managed to learn a forward mapping for WWTP, and were highly reliable on rich intermediate process parameters (IPP) such as dissolved oxygen amount. However, they cannot well handle scenes where IPP are unavailable. In fact, such situations

This paper investigates algorithms for controlling the automated material handling system (AMHS) in a wafer fab. In particular, we examine algorithms that route vehicles for both the pick up and delivery of lots, with the goal of improving vehicle flow, cycle time, and avoiding congested edges in the AMHS. We simulate the proposed methods using a stylized simulation model and demonstrate that algorithms

The inland waterways in the United States (U.S.) transport approximately 20% of coal, 22% of petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data of extreme natural events affecting the U.S. inland waterways are collected and used to predict possible occurrences of such events using a spatio-temporal

In this work, an approach for a preference-based job-flow scheduling in Grid virtual organizations is proposed and studied. Virtual organizations provide uniform rules of the resources sharing and consumption and should respect individual and common preferences of its stakeholders: users, resource providers and administrators. In most cases, a virtual organization’s stakeholders pursue contradictory

Scientific workflows stand as practical solutions useful for maintaining data intensive applications representation and execution purposes, which entail not only powerful computing resources, but also massive storage. With the emergence of cloud environment, which enhanced the execution of such applications, the study of workflow placement strategies, as targeted to effectively reduce data movements

This paper investigates the trajectory tracking control problem of steer-by-wire autonomous ground vehicle considering the complete failure of vehicle steering motor. In order to achieve the trajectory tracking control of autonomous ground vehicle in presence of the complete failure of vehicle steering motor, the mechanical transmission mechanism of vehicle steering system is analyzed with the steering

Pedestrians will form groups in both normal and emergency sometimes. Members of these groups usually have certain social relations. We study emergency evacuation of pedestrians in a pediatric hospital in this paper. Pedestrians there have their own particularities. First of all, all patients are children. Secondly, the patients usually have no ability to see a doctor alone. They are always accompanied

Recommendation systems aim to predict users interests and recommend items most likely to interest them. In this paper, we propose a new intelligent recommender system that combines collaborative filtering (CF) with the popular unsupervised machine learning algorithm K-means clustering. Also, we use certain user demographic attributes such as the gender and age to create segmented user profiles, when

Cloud computing provides a new infrastructure for the research of complex system simulation (CSS). However, insufficient computing resource allocation results in lower performance of a CSS application. On the other hand, excessive computing resource allocation will lead to the increase of simulation communication overhead and simulation synchronous computing. Therefore, accurate computing resource

The paper presents a hierarchical approach to the problem of energy-aware task allocation in a distributed HPC system consisting of several computing clusters. The solution involves the control of clusters and the use of network traffic engineering methods to minimize overall energy consumption. The advantages of the hierarchical approach are twofold: first entities controlling parts of computing infrastructure

In this paper, the feasibility of power generation from an enhanced geothermal system (EGS) located beneath an oilfield at the Bongor basin in Chad was examined through the analysis of numerical simulation parameters. A 3D geometric model is constructed to represent the proposed EGS and a thermo-hydro-mechanical (THM) coupled mathematical model was used in the simulation process to link all inter-dependent

Modeling the machining process by means of simulation techniques became more and more popular within the last decades. The increasing use of simulation techniques can be attributed to the enhancing computational performance. To accurately model the machining process, different input models are required. Among them, the material model has a crucial impact on the quality of the simulated results. To

Vehicular communications in Vehicular Ad-hoc NETworks (VANETs) play an interesting role in improving traffic flow on the roads. In such wireless networks, the vehicles cooperate with each other or with the roadside infrastructure to disseminate the data. In this paper, we introduce a mechanism based on coalitional game theory to study the cooperative transmission in VANETs. Each vehicle tries to access

Autonomous vehicles will transform urban mobility. However, before being fully implemented, autonomous vehicles will navigate cities in mixed-traffic roads, negotiating traffic with human-driven vehicles. In this work, we simulate a system of autonomous vehicles co-existing with human-driven vehicles, analyzing the consequences of system design choices. The system consists of a network of arterial

Advances in urban freight modeling and the availability of freight vehicle operations data have enabled the use of disaggregate models to evaluate urban delivery policies and solutions. This research assesses different model specifications for urban freight simulation and their influence on flow reproducibility, with a focus on trip- and tour-based models for converting shipments to vehicle flows.

The increase in the number of vehicles on roads has compounded the difficulty in parking them when people go out for movies, shopping, theatre, etc. Thus, this paper proposes smart parking system. The reservation of the parking slots can be made using this proposed smart parking system. Unlike the methods proposed in the existing research, the system proposed in this paper divides the parking area

Cognitive Radio (CR) technology was introduced to effectively exploit the under-utilization portions of the licensed spectrum. A primary challenge in enabling CR networking is how to coordinate the CR communications, in which CR users need to exchange their control information before data exchange can take place. Providing a reliable coordination mechanism in CR networks (CRNs) is not an easy task

With improved efficiencies, auto-guided vehicle (AGV) systems have developed rapidly and matured technologically in recent years. This research presents meta-model based two-stage simulation optimization for AGV systems with charging mechanisms. The optimal settings of the AGV system for the design and operational levels are proposed. Input data are collected from a real production environment. To

Complexity, dynamics and mutability are basic characteristics of pedestrian evacuation. However, most models for pedestrian traffic still lack an explanatory mechanism of the individual choice process. This study concerns a cell transmission model (CTM) for pedestrian traffic. But we focus on a new issue, namely, how to illustrate the decision-making process of each individual pedestrian. The decision

Driver comfort is related to human-seat interaction forces and the seat suspension system. For a human body subjected to vertical seat vibration, the head exhibits vertical as well as fore-aft motion, which leads to high forces in the neck. In order to capture these effects, a detailed 12 degrees of freedom two-dimensional seated human body model with inclined backrest support is developed to study

Live VM migration has emerged as a core technology for resource management activities and objectives like fault tolerance, reduced energy consumption, load balancing, and system maintenance. Pre-copy migration strategy is frequently used by most of the existing hypervisors for live VM migration. However, it requires a considerable amount of data transfer. In the case of low network bandwidth availability

The Water Evaluation and Planning (WEAP) system, a modeling and simulation tool, offers certain advantages for studying water systems. These systems are modeled as a collection of supply, demand, and transmission entities. Domain experts can construct whole water system models from template model parts (entities) with built-in constraints for combining them. The parameterized entities are simulated

Establishing an efficient disaster management strategy against severe natural disasters is essential to mitigate and relieve their catastrophic consequences. In order to understand the situation during such devastating events, it is crucial to incorporate individuals' behaviors and their decision-making processes, which requires an amalgamation of information from various sources such as survey data