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The conventional aircraft layout will contain the elevator, aileron, rudder three control surfaces, and thus generate three control moments to adjust the aircraft trajectory and flight attitude. However, the aircraft with multi-control plane flying wing layout needs to choose redundant new control plane configuration, which is quite different from the conventional aircraft layout in both control method and operation mode. Since there are many problems in the aircraft motion mathematical model during the ownership period, which will directly affect the control effect of the flight control system, in order to reduce dynamic error and improve the robustness and accuracy of the flight control system, this paper proposes an adaptive neural network algorithm. Combined with the current operating status of tailless flying wing aircraft and the research status of aircraft control system analysis, this paper mainly discusses the design differences between the adaptive control system and the original control system, based on the empirical case, to clarify the compensation effect of the adaptive control system. [ABSTRACT FROM AUTHOR]

Nowadays, traditional hydrocarbon reserves are depleted. The search for and production of oil and gas in hard-to-reach fields require the development of appropriate computing technologies. Therefore, there is a need to develop novel high-precision computational methods that make it possible to more accurately take into account the features of the geological model, and at the same time save computational resources. In this paper, we have proposed a novel modification of the grid-characteristic method on Chimera grids to take into account the complex geometry of the interfaces of geological rocks. This modification differs from those proposed earlier by using a single background grid with varying elastic parameters of the medium and imposes fewer restrictions on the geological model than the previously proposed options. The computational method proposed in the paper is applicable not only for modeling seismic waves in geological media, but also for modeling ultrasonic and sound study, non-destructive testing of various objects, and in medicine. Also, the proposed numerical method can be applied for a more accurate calculation of seismic waves from earthquake hypocenters and man-made sources. [ABSTRACT FROM AUTHOR]

Today, the exact determination of the parameters of the fracturing of oil and gas fields is of great practical importance. Therefore, an important role is played by computer modeling of the seismic responses from cracks, which correspond to fractured zones actually occurring in nature in terms of the distribution of fracture lengths, positions and rotation angles. Thus, the development of an algorithm aimed at solving this problem plays an important role. In this paper, we have presented the developed algorithm for the placement of cracks in a fractured zone with given geological parameters, such as distribution of lengths, opening, angle of inclination of cracks. The application of this algorithm makes it possible to use in further calculations a geological fractured zone model that is as close as possible to real oil and gas-filled reservoirs. The paper presents the results of test calculations using the grid-characteristic computational method to model wave field scattered on the fractured zone. [ABSTRACT FROM AUTHOR]

The paper presents the concept of the supporting structure and modeling of the main components of the rover, which can transport people and work in autonomous mode. This is ensured by an appropriate design of the rover's support frame and drive wheel system. The paper presents a computer model of selected fundamental drive components affecting the traction capabilities of the vehicle, namely the differential, frame, and wheels. The modeling was performed in a Matlab-SimMechanics environment. In this environment, the model was also assembled into a functional whole, which allows simulating the rover's operation in different terrain conditions. This is presented in the final part of the paper, where the simulation of overcoming an obstacle by the rover presented in this paper is presented. One of the studied cases, an urban obstacle in the form of stairs, was chosen. Displacement diagrams of individual structural elements of the rover prove its high traction and stability capabilities. [ABSTRACT FROM AUTHOR]

The paper illustrates the process of generating synthetic data using diffusion neural networks for solving popular computer vision tasks in urban applications: traffic vehicles detection and classification. The result of this study demonstrated new approach for synthetic datasets creation using modern generative neural networks. To elaborate this approach, experiments were performed to generate synthetic dataset to solve the above basic computer vision problem in urban applications using the most advanced diffusion neural network models (Kandinsky 2.2). Experiments were performed on these datasets to train deep neural networks to solve the object detection problem (YOLOv5). The results of testing the trained detectors on a specially selected validation dataset showed the potential viability of a synthetic dataset generation approach using diffusion neural network models. However, full-fledged use of this approach to generate synthetic datasets that can be used in training deep neural networks of computer vision in production is accompanied by some difficulties, namely high difference between domains of real data and generated data, high labor costs of tuning trained diffusion models to achieve the highest quality of generation, etc. [ABSTRACT FROM AUTHOR]

In this paper a destruction of a conical sample under an action of a short high energy pulse is simulated. The paper concentrates on an influence of material properties and load profile on the destruction patterns of the sample. Under a short high amplitude load the destruction is caused mostly due to the interference of elastic waves in the sample. For a numerical simulation of wave processes, the grid-characteristic method is used, which provides high spatial and temporal resolution. [ABSTRACT FROM AUTHOR]

Abstract Model Predictive Control (MPC) is one of the advanced control techniques. The ability to act prior to the setpoint change by predicting the future control actions makes MPC a better choice for control applications with predefined setpoint trajectory. This paper is a preliminary work done for the development of control system for an autonomous air-borne surveillance system. A brief comparison among the constrained, unconstrained MPCs and Proportional-Integral-Derivative (PID) controller is presented. Simulation study of the implementation of MPC on the QNET Vertical Take-Off and Landing (VTOL) prototype is investigated in this paper. The software platforms used in this study include MATLAB and Simulink. [ABSTRACT FROM AUTHOR]

Abstract Due to tremendous advancements in technologies to make the human tasks easier,users are highly dependent on these applications and it has reached a scenario that they are not ready to compromise delay or issues in connectivity. So it becomes the very need of the mobile operators that they should develop a model to satisfy customer needs. In next generation networks,ultra dense small cellular networks are emerging to deal with this increasing traffic. However increasing the number of Base Stations may increase the Energy Consumption and reduce the Efficiency. Therefore,In this paper we develop model which considers both Energy Consumption and Efficiency. This can be stated as 2 sub problems:Dynamic Deployment of Base Station or Relay Station at the centroid depending on the user distribution and Dynamic small cells On/Off approach to reduce the unwanted energy consumption of under utilized cells. This paper also examines a comparison between the existing system and some of the modified systems in terms of Energy Consumption,Efficiency,Complexity and Cost. Simulation results shows that the Energy Consumption can be reduced up to 14% and Efficiency can be increased up to 87.5%. [ABSTRACT FROM AUTHOR]

Nowadays multi-rotor MAV is being proposed for many critical applications so the designer must provide an MAV, which have the high lifetime, high operational speed, more secure on-flight and low maintenance cost in order to survive at critical applications. Survive at the critical infrastructure may create the structural failures in MAV and in general forward speed is a lacking specification in multi-rotor MAV, which leads to reduce the usage of multi-rotor MAVs in the difficult applications. The aim of this paper is to finalize the suitable material for multi-rotor MAV to perfectly survive at high speed operation in order to provide surveillance in dangerous places using numerical simulation. Also, a unique conceptual design of hybrid MAV has been derived here, that comprises of four rotors in which two rotors are allocated for VTOL and two rotors planned for forward speed production. The airframe and propellers of the MAV are preferred to be of composite materials, which allows for propeller flexibility without sacrificing durability. Numerical simulation is to be used for investigating structural behavior of the MAV for different composite materials such as Kevlar, Glass Fiber Reinforced Plastic (GFRP) and Carbon Fiber Reinforced Plastic (CFRP) by simulates the displacement and principal stress in order to withstand at high speed operation. The reference component of this paper is modeled by using CATIA. Finally a comparative structural analysis has been carried for three composite materials in order to find out the optimal material for the MAV to withstand air impact loads. [ABSTRACT FROM AUTHOR]

The physical system design is more complex day after day due to the advancement in technology. In this paper, bond graph modelling of a multi domain physical system like skid steered mobile is presented. The proposed method is used to describe the dynamics of the system in various physical domains. By applying the bond and junction properties, mathematical model is extracted. In the second part of the paper, an unified technique is proposed to control the robot along the predefined complex trajectory. To track the desired trajectory, a flatness-based controller is proposed for the mobile robot. The developed dynamic model and the controller is modelled using BG V20 toolbox in MATLAB. Open loop as well as closed loop simulation are carried out to check the efficacy of the proposed model. Experimental trials performed in simulation environment revealed that the developed dynamic model and the controller for the robot can efficiently track the desired trajectory. [ABSTRACT FROM AUTHOR]

In present scenario, all available omni directional mobile devices use more than two drives to accomplish omnidirectionality except synchro drive. Synchro drives employ chain sprocket mechanism to drive and steer three wheels at vertex of triangular chassis. The concept of uni-wheeled device discussed in this paper also uses two drives but utilizes reliable gear systems, compact symmetric chassis with a mid support wheel; these imparts omnidirectional, pivot rotation characteristics, increased load bearing capacity, better tracking accuracy etc. This paper highlights the design, simulation, development and testing of a uni-wheeled drive and its steer based omnidirectional mobile In-service inspection (ISI). [ABSTRACT FROM AUTHOR]

This paper describes the designing and analysis of a class – A Chopper in open loop as well as closed loop control. This paper aims to put up the results based on software as well as hardware simulation. DC chopper is realized by using dSPACE DS1104 for open loop operation of class – A chopper with resistive load. In this paper, computed values are compared with measured values and accordingly error is calculated. In closed loop control of chopper, voltage control strategy is implemented using MATLAB 2016a. Improved results illustrate the effectiveness of closed loop control strategy. [ABSTRACT FROM AUTHOR]

With the rapid deployment of LTE, the standardization activities of releases beyond LTE-Advanced (LTE-A) are recently being actively progressed in 3GPP. The emerging services and key enhancements such as Further Enhancement of Downlink Multiple-Input Multiple-Output (MIMO), Heterogeneous Networks, and Carrier Aggregation (CA) in LTE-A has revealed and motivated the standardization of an enhanced physical control channel(s) for the LTE air interface. The advanced Physical Downlink Control Channel (PDCCH) design shall be able to support increased control channel capacity, to support frequency domain Inter Cell Interference Coordination (ICIC), to achieve improved spatial reuse of control channel resource, to support beamforming and/or diversity and at the same time able to support flexible resource allocation of control channel. In this paper, we analyzed the features and capacity of enhanced control channels considered in LTE, starting with the motivations and the standardized Enhanced PDCCH (EPDCCH). The paper proceeds to consider the PDCCH design for 5G New Radio (NR) with the advantages of both PDCCH and EPDCCH while mitigating the limitations of them. Moreover, simulation results are presented to exhibit clear performance benefits of EPDCCH and NR-PDCCH. [ABSTRACT FROM AUTHOR]

In order to solve the problem of estimating the model parameters of hemodynamic model under low frequency interference, a new model parameter estimation algorithm (CSCKS) is proposed in this paper for the hemodynamic model with low frequency interference. The algorithm is based on SCKS algorithm to improve, its estimation effect is obviously better than the existing SCKS algorithm and DEM algorithm. We simulate the proposed algorithm and some other traditional algorithms to evaluate the estimation performance of CSCKS proposed in this paper under different Signal to Interference Ratio (SIR) and different integration steps, and through the simulation results, the estimated results of the algorithm were analyzed and compared. [ABSTRACT FROM AUTHOR]

For WSNs deployed in remote tactical edge networks without available infrastructure, using UAVs to collect sensors data can greatly extend sensor networks life. Due to constraints such as energy consumption and communication delay, rapid path planning is necessary for UAVs flight. This paper mainly proposes a new path planning algorithm based on spiral decomposition, which is named as Spiral Path Planning (SPP) algorithm. Besides, the paper improves the existing FPPWR algorithm. Simulation proves SPP is more suitable for a UAV to collect data from sensors nodes evenly distributed in a circle area. Compared with FPPWR, the path SPP plans is shorter, and runtime is less when the number of sensor nodes is small. [ABSTRACT FROM AUTHOR]

In this paper, a algorithm which is used for carrier frequency offset (CFO) estimation is proposed in coherent optical communications system with binary phase-shift keying (BPSK) modulation. The proposed algorithm utilizes the frequency divider to broaden the range of the estimation algorithm. In a 5-GBaud coherent BPSK system, simulation results show that when 12dB signal-to-noise ratio (SNR) and 512 samples are utilized, a 8 frequency divider can expand the range of the frequency offset estimation from [-0.5GHz, +0.5GHz] to [-4GHz, +4GHz] and the CFO estimation error can be obtained less than 5MHz. The paper presents a novel algorithm that features the large estimation range for carrier frequency offset while estimation error is not enlarged. The experimental results verified the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Urban planners face a few challenges in making urban freight transport more sustainable: reduce urban congestion, provide reliable delivery windows, decrease logistic costs, reduce emissions, improve safety. New data may provide a key in tackling these issues. This paper presents an agent-based urban freight modeling framework: MASS-GT. Objective of the project is to develop a comprehensive simulation framework that describes logistic decision making in the context of urban transport planning. Empirical basis is provided by a large dataset with observed freight transport data for The Netherlands. Part of the data has been collected using an automated procedure to report complete freight trip patterns from the transport management system. This provides more dense and complete data compared to conventional internet surveys. The paper describes the design principles for agents, markets and logistic decisions. Furthermore we elaborate on the incremental development path of building a comprehensive agent-based simulation system. We describe the first baseline prototype of the agent based modeling framework that simulates all urban freight transport patterns for an urban area, in the case the agglomeration of Rotterdam. This baseline model applies a data driven simulation approach; future work will consists of further improving this framework with the implementation of discrete choice models for logistic decisions. [ABSTRACT FROM AUTHOR]

Transportation modeling and simulation play an important role in the planning and management of emergency evacuation. It is often indispensable for the preparedness and timely response to extreme events occurring in highly populated areas. Reliable and robust agent-based evacuation models are of great importance to support evacuation decision making. Nevertheless, these models rely on numerous hypothetical causal relationships between the evacuation behavior and a variety of factors including socio-economic characteristics and storm intensity. Understanding the impacts of these factors on evacuation behaviors (e.g., destination and route choices) is crucial in preparing optimal evacuation plans. This paper aims to contribute to the literature by integrating well-calibrated behavior models with an agent-based evacuation simulation model in the context of hurricane evacuation. Specifically, discrete choice models were developed to estimate the evacuation behaviors based on large-scale survey data in Northern New Jersey. Monte-Carlo Markov Chain (MCMC) sampling method was used to estimate evacuation propensity and destination choices for the whole population. Finally, evacuation of over a million residents in the study area was simulated using agent-based simulation built in MATSim. The agent-based modeling framework proposed in this paper provides an integrated methodology for evacuation simulation with specific consideration of agents’ behaviors. The simulation results need to be further validated and verified using real-world evacuation data. [ABSTRACT FROM AUTHOR]

This paper presents the ongoing development of SCAPER, a random utility based travel demand model that consistently incorporates time decisions. The paper focusses on how SCAPER can be used for large scale simulations, and more specifically: 1. How computational speed of SCAPER is improved using sampling of locations, and how it influences the simulation results. 2. Interfacing SCAPER to MATSim simulation framework, and estimating the SCAPER model with travel times and travel costs produced by the simulation of Stockholm demand (simulated) over Stockholm network using MATSim. 3. Preliminary results from 1 and 2. [ABSTRACT FROM AUTHOR]

The increasing demands of quality and productivity, together with the Internet of Things (IoT) technology, promote the development of intelligent manufacturing where supervisory system plays an increasing role. Verification of supervisory rules to ensure the system is error-free becomes essential. A timed automata (TA) formalism is one of the most widespread approach appropriate for the system modeling and verification. This paper proposes an approach for modeling and verification supervisory rules in production process. The behavior models of entities are translated into timed automata models. The timed automata models of all entities in workspace construct a synchronized network, which can simulate the occurrences in production process. In addition, the paper presents a method of building checking automata. Comparison of the result from supervisory system with the result from checking automata can test the supervisory rules, and analysis of the simulation process can discover the reasons of existing problems. Experiment result shows that the approach is effective in the motivating scenario by finding the potential deficiency in supervisory rules. [ABSTRACT FROM AUTHOR]

This paper presents a binary coded evolutionary computational method inspired from the evolution in plant genetics. It introduces the concept of artificial DNA which is an abstract idea inspired from inheritance of characteristics in plant genetics through transmitting dominant and recessive genes and Epimutaiton. It involves a rehabilitation process which similar to plant biology provides further evolving mechanism against environmental mutation for being better and better. Test of the effectiveness, consistency, and efficiency of the proposed optimizer have been demonstrated through a variety of complex benchmark test functions. Simulation results and associated analysis of the proposed optimizer in comparison to Self-learning particle swarm optimization (SLPSO), Shuffled Frog Leap Algorithm (SFLA), Multi-species hybrid Genetic Algorithm (MSGA), Gravitational search algorithm (GSA), Group Search Optimization (GSO), Cuckoo Search (CS), Probabilistic Bee Algorithm (PBA), and Hybrid Differential PSO (HDSO) approve its applicability in solving complex problems. In this paper, we have shown effective results on thirty variables benchmark test problems of different classes. [ABSTRACT FROM AUTHOR]

Some of the authors of this paper had already established a pedal operated human powered flywheel motor (HPFM) which justifies the energy requirements for process units. The different types of process units designed and tested so far intestinally suits to rural areas such as brick making machine, Low head water lifting, Wood turning, Wood strips cutting, electricity generation etc. This machine system includes three sub systems namely (i) HPFM (ii) Torsionally Flexible Clutch (TFC) (iii) A Process Unit. ANN modeling has been used to model the experimental findings for human powered flywheel motor. It has been observed that neuron size, transfer function, training function plays important role in performance of the network. The optimal selection of parametric values of each ANN parameter is carried through observation of performance, regression plots. This paper illustrates a unique method of selecting optimal ANN network configuration for fitting function approximation problem. We also found that reliability of the derived ANN model is 97%. [ABSTRACT FROM AUTHOR]

This paper addresses the observer-based H ∞ control issue of switched systems with time delays. With the event-triggered scheme, the system will sample and update relevant information only when the event conditions are satisfied. It is assumed that the system states are unavailable, thus, an observer is used to estimate the system states. It is also assumed that the system is subjected to external disturbances. By utilizing the Lyapunov-Krasovskii functional, several sufficient conditions are obtained to guarantee H ∞ performance of the observer-based event-triggered switched systems. Moreover, the observer-based controller is designed. In addition, a proof is given to show the existence of the lower bound on the interevent intervals so that Zeno behavior can be avoided. Finally, a numerical simulation is given to verify the effectiveness of the proposed results. [ABSTRACT FROM AUTHOR]

Risk management is an essential part of project management. Proactive management of risk in projects helps increase the success rate of projects and the reduction of potential costs. The paper presents a new tool for implementing the risk management process in projects. The tool allows participants to understand a project further, and to analyse risks in a project using various methods such as risk exposure and Monte Carlo method. From the results of the study, the tool helps in improving the understanding and implementation of risk management in projects. The tool implementation and results are discussed in this paper. [ABSTRACT FROM AUTHOR]

This paper presents data management and strategies for implementing smoothed particle hydrodynamics (SPH) method to simulate volcano plumes. These simulations require a careful definition of the domain of interest and multi-phase material involved in the flow, both of which change over time and involve transport over vast distances in a short time. Computational strategies are developed to overcome these challenges by building mechanisms for efficient creation and deletion of particles for simulation, parallel processing (using the message passing interface (MPI)) and a dynamically defined halo domain (a domain that ”optimally” captures all the material involved in the flow). A background grid is adopted to reduce neighbor search costs and to decompose the domain. A Space Filing Curve (SFC) based ordering is used to assign unique identifiers to background grid entities and particles. Time-dependent SFC based indices are assigned to particles to guarantee uniqueness of the identifier. Both particles and background grids are managed by hash tables which can ensure quick and flexible access. An SFC based three dimensional (3D) domain decomposition and a dynamic load balancing strategy are implemented to ensure good load balance. Several strategies are developed to improve performance: dynamic halo domains, calibrated particle weight and optimized work load check intervals. Numerical tests show that our code has good scalability and performance. The strategies described in this paper can be further applied to many other implementations of mesh-free methods, especially those implementations that require flexibility in adding and deleting of particles. [ABSTRACT FROM AUTHOR]

This paper presents a software tool to simulate a practical problem in smart grid systems. A feature of the smart grid is a system self-recovery capability in the occurrence of anomalies, such as a recovery of a power distribution network after an occurrence of a fault. When this system has a capacity for self-recovery, it is called self-healing. The intersection among areas as computer science, telecommunication, automation and electrical engineering, has allowed power systems to gain new technologies. However, because it is a multi-area domain, self-recovery simulation tools in smart grids are often highly complex as well as presenting low fidelity by using approximation algorithms. The main contribution of this paper is a simulator with high fidelity and low complexity in terms of programming, usability and semantics. In this simulator, a computational intelligence technique and a derivative method for calculating the power flow were encapsulated. The result is a software tool with high abstraction and easy customization, aimed at a self-healing system for a reconfiguration of an electric power distribution network. [ABSTRACT FROM AUTHOR]

Sea ice is a difficult object to study due to its heterogeneous structure and location near the melting point. This paper proposes a model of ice ridges as a heterogeneous structure with multiple water and air inclusions, free boundaries and free sliding contact boundaries. The dynamic growth of cracks in a given heterogeneous structure under intense dynamic influences is considered, which makes the considered boundary value problem nonlinear. The influence of explosion parameters (location of sources, frequency, number of periods) on the nature of the destruction of the ice ridges was investigated. The work also investigates the collision of an ice island with ice floes. For calculations, the grid-characteristic method is used on structured rectangular computational grids. [ABSTRACT FROM AUTHOR]

Vane pneumatic motors (PM) are the most popular products among rotary vane machines in both hydraulic and gas (pneumatic) versions. Mathematical modeling is widely used to solve some problems of vane PM: analysis and synthesis the new PM designs, in order to increase their energy efficiency, resource and other operational characteristics. This paper presents a refined mathematical model of a vane PM, taking into account the effect of heat generated during friction of the vanes against the stator and rotor slots on the thermodynamic process in the working chambers, as well as mechanical losses in the rotor bearings with their mode of operation. The parameters of the friction and heat transfer model, which are rather difficult to measure in a real structure, were determined by the vector identification method, by comparing the experimental and calculated mechanical and flow characteristics of the PM, as well as the temperature of the compressed air at the exhaust. The results obtained make it possible to more reasonably approach the solution of choosing the PM parameters at the stage of its mathematical modeling. [ABSTRACT FROM AUTHOR]

This paper aims to examine the likes (“thumbs up”) network of Hungarian political parties. The network contains 7 parties’ Facebook likes network. There are 3204 nodes and 28770 edges in the network. The research question of this paper is whether there is competition between the political parties for users in Hungary, and if the number of fans, posting activity and likes connections are influential factors in reaching people. The hypothesis of the paper is that parties do try to extend their network to reach more people, and furthermore, that the use of likes and posting activity are relevant factors in the network growth. The findings of the research falsify this hypothesis, however, because parties turn out to form closed communities in the networks and have their own users and an ERGM estimate shows that the above factors have not been influential in connection development. [ABSTRACT FROM AUTHOR]

This paper describes the results of simulations of patients’ flow in a specialized medical center. The description of a model which contains two-component is provided and this model is used to estimate load of four departments of Almazov center due to emergency patients flow with acute coronary syndrome. The results of the simulations show that there is non-linear dependency between patients’ mean arrival gap and number of patients in the departments. The model proposed in this paper could be used to plan reorganization of departments of a hospital. Possible improvements of the demonstrated model for usage in clinical decision support system are also discussed. [ABSTRACT FROM AUTHOR]

Many applications of Wireless Sensor Networks such as Airborne Ad-hoc Networks (AANETs) or Underwater Wireless Sensor Networks (UWSNs) require the network architecture to be three-dimensional. In this paper, we present a terrestrial three-dimensional network architecture as well as protocol stack deployment for static sensor nodes placed at varying heights. A Dynamic Cluster-Based TDMA MAC (DCB-TDMA MAC) protocol has been developed for this network and simulated using Cooja platform. Cluster-Head nodes are rotated based on residual energy in order to maximize the lifetime of the network. Detailed working of protocol involving Time Synchronization, MAC, Cluster-Head rotation, Dynamic Routing is provided in this paper along with simulation results and analysis. [ABSTRACT FROM AUTHOR]

This paper considers the optimized PIDI 2 D 2 controller based on genetic algorithm for three tank liquid level control systems. The process control of the liquid level inside the tank is an important issue for today's industrial processes due to the requirement of mixing the liquid components. Thus, the designing and implementation of the controllers for such a system are major problems which need to be considered. At the moment, most controllers using in the process control are basic PID controllers. However, sometimes the poor performance for the system with PID controller will be acquired; i.e., the slow settling time and high overshoot. Therefore, this paper proposes an efficient method of tuning controller PIDI 2 D 2 parameters by using genetic algorithm (GA). According to the proposed technique in this paper, the simulation results that the improvement of the settling time and overshoot for the system is obtained by comparing with the tuning controller PID parameters based on GA and PSO techniques. [ABSTRACT FROM AUTHOR]

This paper concentrated on the design of PID controller for air heater temperature control system. It is appeared that PID controllers are utilized in many industrial applications. However, the major problem of PID controller design is how to identify the optimal parameters of PID so that the optimal performance of the system can be obtained. Then, this paper proposes the Particle Swarm Optimization (PSO) method for tuning optimal PID parameters for the air heater. The simulation results are achieved that the PSO optimized PID controller is able to provide an improved closed-loop system performances over the Ziegler-Nichols tuning method, and Genetic Algorithm (GA) in the perspectives of transient responses; i.e, the integral of square error (ISE), settling time and overshoot. [ABSTRACT FROM AUTHOR]

This paper presents a technique to improve the response of single-phase voltage sag/swell detection using generalized Integrator with a feedback loop (GIFL). The GIFL provides an orthogonal signal required for evaluating the instantaneous voltage magnitude. For the GIFL, constant gain K is the key influencing its overall performance. Then, the main objective of this paper is to introduce a method for choosing the best GIFL's constant gain; speed and overshoot of the GIFL are considered with varying gain K. Both simulation and experiment were carried out in order to confirm the idea proposed in this paper; the experimental results match the simulations as expected. This technique could find its application in order to enhance the performance of FACTS devices used in single-phase power systems, especially for precise power compensation during fast transients. [ABSTRACT FROM AUTHOR]

In this paper, the friction compensation method of SCARA robot is proposed. During the operation, the friction force in the system causes the heat to the robot and system. Since heat which occurred in the system is accumulated for a long time, the robot and system have been damaged. Moreover, performance and stability of the system have been reduced. Therefore, compensation of friction force is an important method for increase performance and stability of the system. In this paper, the disturbance observer is used with mathematic modelling of friction compensation for compensate the friction force in the system. From the simulation results, the system which has a friction force compensation can show the increasing of performance and stability. [ABSTRACT FROM AUTHOR]

The high altitude platform such as a buoyancy-driven airship has been receiving much attraction recently. However, to control the airship is challenging because of its complicated model. This paper applies model predictive control with Laguerre functions to the airship. The simulation results are given in this paper and show satisfaction regarding the proposed control method. [ABSTRACT FROM AUTHOR]

A high efficiency cascaded half-bridge converter for contactless transformer with 1 A, 5 V and 600 kHz for mobile phone charger application is implemented in this paper by using simple PI discrete algorithm controller. The proposed target is to achieve the arch free, controllable voltage and galvanic isolation outlet and plug power transforming converter in a dc low voltage household power distribution. For the optimized outcome, the parameters are calculated and verified by MATLAB/Simulink program for bench testing. Additionally, this paper will be presented in both of the simulation and implementation results. [ABSTRACT FROM AUTHOR]

This paper proposes a new topology of a high step-down dc-dc converter with a conversion ratio of approximately 20 times for high-input and low-output voltage applications such as renewable system applications. This proposed converter employs only one single switch with low control complexity. In this paper, the converter configuration is presented and its operating principle under continuous conduction mode (CCM) is described. The relationship between the step-down voltage ratio and the duty cycle is also presented in order to illustrate the performance of the proposed converter. In addition, the laboratory phototype of the proposed converter is implemented. The simulation and experimental results are shown to demonstrate the effectiveness of the proposed high step-down single-switch dc-dc converter. [ABSTRACT FROM AUTHOR]

This paper analyzes the effect of unbalanced voltage on voltage rise for a grid-connected photovoltaic (PV) system, and proposes a voltage rise mitigation strategy which injects negative-sequence currents to compensate the unbalanced voltage aiming especially to reduce the voltage rise. The paper also discusses how the averaged powers related to the injected negative-sequence currents are measured by the power meter. Simulation result confirms the superior performance of the proposed strategy over the classical method which suppresses the voltage rise by adjusting the power factor. [ABSTRACT FROM AUTHOR]

This paper presents a 3x3 antenna array of ractangular topology is designed to operate at Ku Band. The antenna has been designed as arrays of patches, where number of elements, spacing's and feeding currents has been optimized to fulfil the requirements of low side lobe level and good cross polarization. The operating frequency of array is from 12 to 18 GHz. The antenna array has been designed and simulated on FR4 Substrate with dielectric constant of 4.4. This paper presents that, the detail steps of designing and simulating the rectangular patch antenna and rectangular patch antenna Array in Ku-band. The design is analysed by FEM based HFSS 14.0 by which return loss, 3D polar plot, Directivity, VSWR and Gain of the antenna are computed. The software simulated results are shows that the proposed antenna array provides good performance in terms of return loss, VSWR and Gain. [ABSTRACT FROM AUTHOR]

Understanding and analysing security risks is an essential task when designing and maintaining a systems’ security. The first risk analysis should be performed during the system design. Identified risks have to be updated during the lifecycle when security controls are implemented or new threats appear. Visualization facilitates the risk analysis process, but visualizing the huge amount of risks with diverse causalities is challenging. This paper concentrates on risk visualization and related challenges. The paper presents a semantic model for risk visualization and structuring implemented into the Metric Visualization System (MVS). The proposed model and tool support make risk visualization consistent and ensures that it includes mutual connections of risks. The contribution helps designers to analyse risks and to select security controls in a justified manner. [ABSTRACT FROM AUTHOR]

Dealing with Alzheimer's Disease is an open problem within the ageing population context. While clinical solutions arrive, actions for improving the quality of the daily living of these patients are needed. Which solutions these can be is something experts can discuss and engineers can develop. To facilitate such discussion, and enabling a low cost experimentation of the alternatives, the paper proposes computer simulations reproducing the daily activities and the interplay of users and assisting solutions. This paper contributes with examples of such simulations and discusses how real solutions can be built upon them in the case of Alzheimer's. The work has been developed with the PHAT/SociAALML framework and the code is available online for interested researchers. [ABSTRACT FROM AUTHOR]

Land Ports of Entry (LPOEs) are facilities that control access into the U.S., as well as departures of persons and freight. While traffic simulation modeling techniques are not typically used to evaluate LPOE operational processes, they should be considered more often, because LPOEs have a significant impact on surrounding traffic conditions and vice versa. This paper proposes a methodology for developing microscopic traffic simulation models of LPOEs along the U.S.-Mexico border. The methodology consists of seven steps: (i) collect data; (ii) develop traffic or roadway network; (iii) model inspection and toll booths; (iv) develop traffic management strategies; (v) set up traffic demand; (vi) calibrate model; and (vii) validate model. The paper also presents a case study in which this methodology was followed to develop the Ysleta – Zaragoza LPOE traffic simulation model, which can be controlled from a web-based interface to help LPOE personnel without previous transportation modeling experience. [ABSTRACT FROM AUTHOR]

Each scientific project or publication can be attributed to several fields of study with different degrees. Call interdisciplinary distribution the set of the degrees. If we have fixed number of fields of study, the set can be written in vector form. Each component of the vector corresponds to one of the fields of study. Call the vector the interdisciplinary vector. If we consider a scientist to be a set of his or her publications we can get the vector for a scientist as a weighted sum of a vector of his or her publications. This paper is devoted to an approach to the evaluation of the interdisciplinary distribution of professional or research objects (RO), and the transdisciplinary effects of their changes. RO and professionals can be evaluated on the basis of keywords in relevant scientific papers, reports, surveys, proposals, CVs, and so on. The transdisciplinary effect is apparent when the interdisciplinarity distribution has been changed. We propose formulas to evaluate this transdisciplinary effect. This approach was implemented using participants in group projects at the fourth Young Scientists Conference (YSC) on High-Performance Computing and Computer Simulation. The accuracy of the interdisciplinary vector of several participants was examined by the survey about their involvement in the team projects. This approach can be used to evaluate the compliance of a scientific team with the transdisciplinary research project (problem), as well as to assess the students’ skills in transdisciplinary environments. [ABSTRACT FROM AUTHOR]

The aim of this paper is to further develop the original method proposed by the authors in their previous publications and submitted as a patent to shape frequency response of a vibrating plate according to precisely dened demands. The method is based on modeling the plate together with additional masses and ribs, and applying a sophisticated optimization algorithm, which issues arrangement of the masses and ribs. It has a very high practical potential. It can be used to improve acoustic radiation of the plate for required frequencies or enhance acoustic isolation of noise barriers and device casings. It can be utilized for both passive and active control. For the latter case it allows at the same time to optimally arrange actuators and sensors. In the paper there are presented, compared and discussed simulation results of the method for a plate with dierent boundary conditions: simply supported, fully-clamped and elastically restrained against rotation (corresponding to a mounting in a real device casing). Proposed optimization criteria are followed from practical scenarios, where precise modication of a vibrating plate frequency response is desired. The application of the proposed method for active control is also shown. The important additional outcome of the paper are guidelines on designing device casings in terms of rigidity in order to obtain their required vibration and noise isolation features. [ABSTRACT FROM AUTHOR]

This paper presents an implementation of an evolutionary algorithm to control a robot with autonomous navigation in avoiding obstacles. The paper describes how the evolutionary system controls the sensors and motors in order to complete this task. A simulator was developed to test the algorithm and its configurations. The tests were performed in a simulated environment containing a set of barriers that were observed by means of a set of sensors. The solution obtained in the simulator was embedded in a real robot, which was tested in an arena containing obstacles. The robot was able to navigate and avoid the obstacles in this environment. [ABSTRACT FROM AUTHOR]

Exploring a new environment is a huge challenge for the visually impaired. Hence there is a need for a system that is able to assist them safely during their journey. Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm. This method computes shortest possible path given the predetermined waypoints from initial position to final position. By using predetermined waypoints which is a collection of coordinates along the pedestrian walkaway, a resulting accessible pedestrian path could be offered to the visually impaired. The system consists of a destination selection process and path planning process. For the destination selection process, a list of available places is given and the user will select the places that they want to visit from the list. The path planning process calculates path length between all nodes which includes predetermined waypoints, start point and final destination using Euclidean distance formula. The PSO algorithm will optimise possible shortest route by minimizing the total cost for path length. The simulation analyses of the proposed method have shown promising results of optimal route for different destinations. Results from this paper will be used further to explore the potential development of path guidance system for the visually impaired people by allowing them to travel independently in an unfamiliar environment. [ABSTRACT FROM AUTHOR]

In this paper we have presented validation of proposed usability driven web based software process model (UdWbM) through simulation. We have used Software Engineering gaming tool SimSE for making simulation of a system (taken as case study) by following the steps proposed by the model. Simulation was also developed for some existing models using the same constraints. UdWbM is then compared with some existing models to show the results. Paper also shows comparative study of existing models with UdWbM through literature. [ABSTRACT FROM AUTHOR]

Mastering the programming is no easy job because proper science of software does not yet exist. Solid and fundamental theories that apply universally are needed. Universalities ease mastering any kind of job. To ease mastering the programming, software science must answer what are the universal main concepts in programming, and the categories of token. This paper proposes punctuator and qualifier as two supplementary concepts of programming. Together with value, operation, type, and object; punctuator and universal serve as six main concepts of programming. This paper shows the six main concepts of programming serves as universal categories of tokens. The new theory for code-translation takes into account the universal categories for tokens. [ABSTRACT FROM AUTHOR]

Employability is somebody's prospective for gaining and maintaining employment. Basically employability depends on basic three parameters and these parameters are as education, understanding power and personal development. It is the capability to achieve the preliminary employment, to continue it and to obtain different one, if it is required. This paper introduced an innovative knowledgeable system for valuation of employability through some fuzzy rules. The purpose and scope of this concern research is to observe the optimal valuation for employability. This concern research considers three employability skills as an input namely Education, Understanding power and Personal development and find out a novel crisp value for employability which is basically characterize the ability of employee. This paper uses twenty seven fuzzy rules, by using Mamdani type fuzzy inference system in Mat-lab for catches solitary value of output named as employability. [ABSTRACT FROM AUTHOR]