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Massively parallel desktop computing capabilities now well within the reach of individual academics modify the environment for posterior simulation in fundamental and potentially quite advantageous ways. But to fully exploit these benefits algorithms that conform to parallel computing environments are needed. This paper presents a sequential posterior simulator designed to operate efficiently in this context. The simulator makes fewer analytical and programming demands on investigators, and is faster, more reliable, and more complete than conventional posterior simulators. The paper extends existing sequential Monte Carlo methods and theory to provide a thorough and practical foundation for sequential posterior simulation that is well suited to massively parallel computing environments. It provides detailed recommendations on implementation, yielding an algorithm that requires only code for simulation from the prior and evaluation of prior and data densities and works well in a variety of applications representative of serious empirical work in economics and finance. The algorithm facilitates Bayesian model comparison by producing marginal likelihood approximations of unprecedented accuracy as an incidental by-product, is robust to pathological posterior distributions, and provides estimates of numerical standard error and relative numerical efficiency intrinsically. The paper concludes with an application that illustrates the potential of these simulators for applied Bayesian inference.

The purpose of this paper is to examine the use of simulators as pedagogical complements to traditional case studies. The research performs experiments with a case and its accompanying simulator to assess the additional learning attained by the use of a case with its simulator as compared to using the case alone. The paper also describes the development and proposed use of cases and simulators combined.

The paper describes the development of one companion simulators, it outlines its proposed use, and it shows the results of an experiment to assess marginal learning with the simulator.

The research finds that simulators increase the understanding of subjects when used to support a case study. Students and teachers perceive the use of companion simulators as valuable.

The research provides ground for developing a new generation of case studies in which the traditional case is enhanced and augmented by simulators developed for one particular case and intended to be used only with that case.

This research has practical implications in how management is taught and learned.

The paper has implications in terms of possible changes that can be introduced to the teaching of management in business schools.

This research provides one of the few extant assessments of the learning that can be attained with the use of simulators in management education. The research proposes the creation of a new entity, the “Case+Sim” that draws on the traditional strengths of managerial case studies to be used in educating managers, but complements the case studies with simulators, which provide an added value in permitting students to test their thinking using a realistic interactive learning environment.

Hearing impaired users often find it difficult to listen to voice over television, computer or public announcement systems due to background noise, music or poor sound quality. This paper presents a hearing impairment simulator that can help digital content developers to understand the auditory perception of hearing impaired users. Existing hearing impairment simulations often fail to publish results on validation or running the system on stored files. The present work describes validation result on a hearing impairment simulator and link to download the system that can simulate any sound stored as a wav file.

This work presents a simulator with a downloadable link to the software and results on a couple of user trials involving users with varying degrees of hearing impairment validating the system. The simulator also simulates frequency smearing which is not available in most online hearing impairment simulators. The simulator is part of a bigger project which also involves simulating visual, cognitive and motor impairment.

The result shows the present implementation can accurately simulate hearing perception for spoken voice. It also demonstrates that both frequency attenuation based on audiogram response and smearing are needed for accurate simulation as random frequency attenuation does not distort the sound well enough to be inaudible.

It should be noted that this simulation is not accurate enough to be used for medical purpose, rather aims to be an engineering tool to simulate approximately correct auditory perception of hearing impaired people. However, like other researches on user modelling and simulation in HCI, this simulator aims to enhance the design space where designers can optimize volume and quality of sound output and if necessary of background music or noise.

This paper presents a hearing impairment simulator that can help digital content developers to judge the sound quality of their content for hard of hearing users.

Existing literature on hearing impairment simulators either presents a software without detailed result on validation or focuses on detailed theoretical results on psychology without any easy deployable software. Most existing software also does not allow running simulation on stored file which limits their purpose. This work presents a simulator with a downloadable link to the software and results on a couple of user trials involving users with varying degrees of hearing impairment validating the system. The simulator also simulates frequency smearing which is not available in most online hearing impairment simulators.

The purpose of this paper is to articulate the challenges of learning and improving in service delivery systems – that present managers with imperfect information, confounded variables, and tightly coupled interactions between operational and psychological factors – and present a simulator to assist managers to overcome these challenges.

After reviewing the literature on “learning from simulations” and the main challenges of learning in a service environment, the paper presents the assumptions underlying the service quality management simulator, its interface, and protocols to use it that have proven effective.

It is possible to assist managers to develop operational understanding – what to do, when and how much of it to do – about the drivers of service quality using a simulation environment.

In its present form, the simulator only takes a functional definition of service quality and captures the relationships in a business‐to‐consumer service environment. These shortcomings suggest future expansions to the theory. Also, while anecdotal evidence is reported of the benefits using the simulator, quantifying these benefits remains a challenge for future research.

The ability to customize the simulator's parameters to represent specific service settings makes it a powerful tool for operating managers facing some of the challenges described by the theory.

This paper documents, in a non‐technical way, the elements a set of relationships that has been shown to confuse managers and cause erosion of service quality and describes the simulator's uses and benefits in a pedagogical environment.

Flight simulators are one of the noticeable breakthroughs in aerospace engineering. One of the main compartments of flight simulators is its control loading system (CLS). The CLS functions as a generator of virtual aerodynamic control-loads over control columns of a simulator. This paper aims to present the design of a high-fidelity six six degrees of freedom (6DOF) nonlinear CLS for the Boeing-747 aircraft simulator.

An introduction to CLS for flight motion simulators are first recapitulated. Afterward, the commanding devices are explained through schematics available in an engineering sense. This paper then presents in detail, the active control loading strategy and hardware design for the CLS, while also introducing the aerodynamic model structure. The satisfactory computer numerical simulations are presented before the paper ends up in concluding remarks.

The multiple input multiple output (MIMO) 6DOF nonlinear CLS for Boeing-747 flight simulator has been successfully developed. The outcome of computer simulations in real-time verifies practicality of the design strategy. The research presented in this paper could be a simple roadmap for prototyping high-fidelity 6DOF nonlinear CLS for flight motion simulators.

The available control architecture and hardware technologies cannot enable a high-fidelity load realization in a CLS. The existing research has not yet presented a 6DOF nonlinear MIMO CLS architecture along with the underlying controller setup for a high-fidelity load realization. In this paper, the design of a high-fidelity 6DOF nonlinear MIMO CLS for flight simulator of a large transport aircraft has been accomplished.

FLIGHT simulators have been in use for many years as training aids and research facilities for fixed wing aircraft. Some helicopter simulators have been built for both training and research purposes but, in the main, these devices have treated the Helicopter problem by considering the aircraft as having similar characteristics, once air‐borne, to the fixed wing aircraft. Such simulators have not, therefore, been capable of simulating hover and vertical movement particularly from the visual point of view. Some helicopter research simulators have, however, been used in the United States but the limitations of these machines were such that they were never developed as training aids.

The purpose of this paper is to develop a tri‐axis spacecraft simulator to simulate the three‐axis attitude motion of a satellite and for ground‐based hardware‐in‐the‐loop simulation.

The structure of tri‐axis satellite attitude simulator is designed first. Full dynamic model is then derived. Based on the dynamic model, a simple proportional‐integral‐derivative controller is developed and applied to control the motion of simulator.

The effectiveness of the proposed simulator configuration has been verified through numerical simulations. The tri‐axis simulator can follow the satellite attitude motion precisely.

This paper is valuable for researchers working on the development of tri‐axis spacecraft attitude simulator. This work is original. The simulator configuration has been applied to a satellite mission that was launched successfully in 2006.

The three-axis simulator relies on the air film between the air bearing and the bearing seat to achieve weightlessness and the frictionless motion condition, which is essential for simulating the micro-disturbance torque of a satellite in outer space. However, at the beginning of the experiment, the disturbance torque caused by the misalignment between the center of gravity of the simulator and the center of rotation of the bearing is the most important factor restricting the use of the space three-axis simulator. In order to solve this problem, it is necessary to set the balance adjustment system on the simulator to compensate the disturbance torque caused by the eccentricity. The paper aims to discuss these issues.

In this paper, a study of L1 adaptive automatic balancing control method for micro satellite with motor without other actuators is proposed. L1 adaptive control algorithm adds the low-pass filter to the control law, which in a certain sense to reduce the high-frequency signal and speed up the response time of the controlled system. At the same time, by estimating the adaptive parameter uncertainty in object, the output error of the state predictor and the controlled object can be stabilized under Lyapunov condition, and the robustness of the system is also improved. The automatic balancing method of PID is also studied in this paper.

Through this automatic balancing mechanism, the gravity disturbance torque can be effectively reduced down to 10⁻⁶ Nm, and the automatic balancing time can be controlled within 7 s.

This paper introduces an automatic balancing mechanism. The experimental results show that the mechanism can greatly improve the convergence speed while guaranteeing the control accuracy, and ensuring the feasibility of the large angle maneuver of spacecraft three-axis simulator.

This paper aims to examine the impact of predictive gamification, through a sales simulator game, as a strategy to minimize sales problems in organizations.

This empirical study was executed in a large global company that produces and markets footwear for B2B and B2C markets. The company operates in more than 18 countries and adopts the gamification to train 7,600 sellers and 10,052 professionals directly linked to the sales area. The methodology adopted followed a qualitative and exploratory approach based on an in-depth case study analysis.

Results indicated that the use of predictive gamification allowed mitigating future problems, in average, four months in advance of the arrival of the new products at the points of sale. The main findings included improvement in sales arguments, product knowledge and sales closure. The company assigns the results to the implementation of the gamification and the possibility to simulate the evaluation of the level of readiness of the sales force resources. For this, the following three primary variables emerged: adequate definition of training content, analysis of the learning process and simulation of store reality.

The authors introduced to the sales training literature the concept of predictive gamification. The predictive gamification allows anticipating and reducing future problems before the arrival of the new products in the market, improving the argument of sales, the knowledge about the products and the ratio of sales conversion of stores.

First, the content design of gamification needs to be carefully projected before the simulator development, considering the target audience and its particularities. Second, the construction of evaluation activities needs to consider contexts, actions and results. Third, monitoring the paths taken by the seller in the simulator environment is requisite. Fourth, the analysis of the results of vendor responses in the simulator environment can be obtained through learning management system reports. Fifth, the development of game simulators with advanced technologies may be done with low investment.

The findings have implications for the field vis-à-vis three main research gaps identified in the literature discussing gamification in sales training. First, the authors identified best practices from the application of gamification in sales training. Second, they showed the sales qualification processes, which can be improved by applying gamification. Third, they presented strategies of use of gamification as an approach allied to the training of sales professionals to generate enhanced sales results.