Determination of meridian position by a two-step ground gyrocompass in eesthetical rotor positioning

Contradiction between accuracy and time of definition of a plane of a geographical meridian has significantly weakened with appearance of automatic gyrocompasses and algorithmic methods of processing of the information from them. These methods allow us to expand the range of possible modes of gyrocompasses, including non-traditional. The article considers an automatic two-stage ground gyro compass operating in the mode of natural stopping of the rotor after its pulse acceleration by non-electrical means (squib , compressed air, etc.). The specified mode is attractive because it allows to identify uncontrolled harmful moment around the axis of suspension in one start and significantly reduce the measurement time. In order to further improve the device, it is proposed to abandon the measurement of the current value of the kinetic moment, and to identify the decay coefficient of the exponential function by observing the azimuthal motion of the sensitive element of the device. Moreover, the paper shows that it is possible not to measure the initial value of the kinetic momentum, replacing the measurement with identification of this parameter by observing the same azimuthal motion of the sensitive element. In this case there is no need to have on the sensitive element any nodes associated with the transmission of power and electrical signals, the sensitive element can be made as a purely mechanical element, carrying on itself a rotating rotor. For all considered variants of measurement (or identification) of parameters the machine simulation was carried out, which confirmed the performance of the proposed methodology.

Investigating the Role of Language in Slot Machine Gambling

<p>A systematic replication of Dixon, Nastally, Jackson and Habib (2009) was carried out to further examine the role of relational framing in attaching meaning to near-win stimuli in a slot machine simulation. The original study found that the verbally reported meaning of near-win stimuli could be altered through a verbal matching-to-sample training procedure. The current study confirmed this finding. Additionally this study had participants play on a simulated slot machine to assess if such relational training also resulted in changes in (non-verbal) response latencies when participants were presented with near-win outcomes during play. A study by Daly et al. (in prep.) had found that near-wins produced response latencies (in terms of initiating a new trial or 'spin') between that of wins and losses during slot machine play; a general finding replicated here also. However, in the current study it was also expected that changes to the meanings of near-wins would influence near-win response latencies. For example, response latencies following near-wins might become more like latencies following losses as a result of prior relational framing of near-win stimuli. The results of this study found a dissociation between verbal and non-verbal responses to near-win stimuli. The verbal training affected verbal responses but did not affect non-verbal responses. Some explanations are postulated for why this happened. These include the possibility that the near-win latency was merely an artefact of the experimental paradigm. Another explanation is that the dissociation between response types occurred because the contexts in the ratings and verbal training tasks were different to the context of the slot machine task.</p>

Investigating the Role of Language in Slot Machine Gambling

<p>A systematic replication of Dixon, Nastally, Jackson and Habib (2009) was carried out to further examine the role of relational framing in attaching meaning to near-win stimuli in a slot machine simulation. The original study found that the verbally reported meaning of near-win stimuli could be altered through a verbal matching-to-sample training procedure. The current study confirmed this finding. Additionally this study had participants play on a simulated slot machine to assess if such relational training also resulted in changes in (non-verbal) response latencies when participants were presented with near-win outcomes during play. A study by Daly et al. (in prep.) had found that near-wins produced response latencies (in terms of initiating a new trial or 'spin') between that of wins and losses during slot machine play; a general finding replicated here also. However, in the current study it was also expected that changes to the meanings of near-wins would influence near-win response latencies. For example, response latencies following near-wins might become more like latencies following losses as a result of prior relational framing of near-win stimuli. The results of this study found a dissociation between verbal and non-verbal responses to near-win stimuli. The verbal training affected verbal responses but did not affect non-verbal responses. Some explanations are postulated for why this happened. These include the possibility that the near-win latency was merely an artefact of the experimental paradigm. Another explanation is that the dissociation between response types occurred because the contexts in the ratings and verbal training tasks were different to the context of the slot machine task.</p>

Real time implementation of anti-windup PI controller for speed control of induction machine based on DTC strategy

This paper presents simulation and experimental results of anti-windup PI controller to improve induction machine speed control based on direct torque control (DTC) strategy. Problems like rollover can arise in conventional PI controller due to saturation effect. In order to avoid such problems anti-windup PI controller is presented. This controller is simple for implementation in practice. The proposed anti-windup PI controller demonstrates better dynamic step changes response in speed in terms of overshoots. All simulation work was done using Simulink in the MATLAB software. The experimental results were obtained by practical implementation on a dSPACE 1104 board for a 1.5 KW induction machine. Simulation and experimental results have proven a good performance and verified the validity of the presented control strategy.

Implementation of an Associative Memory using a Restricted Hopfield Network

A trainable analog restricted Hopfield Network is presented in this paper. It consists of two layers of nodes, visible and hidden nodes, connected by weighted directional paths forming a bipartite graph with no intralayer connection. An energy or Lyapunov function was derived to show that the proposed network will converge to stable states. The proposed network can be trained using either the modified SPSA or BPTT algorithms to ensure that all the weights are symmetric. Simulation results show that the presence of hidden nodes increases the network’s memory capacity. Using EXOR as an example, the network can be trained to be a dynamic classifier. Using A, U, T, S as training characters, the network was trained to be an associative memory. Simulation results show that the network can perform perfect re-creation of noisy images. Its recreation performance has higher noise tolerance than the standard Hopfield Network and the Restricted Boltzmann Machine. Simulation results also illustrate the importance of feedback iteration in implementing associative memory to re-create from noisy images.

SIMULATION IN INVENTORY PROBLEMS

The application of simulation methods in the problems of inventory management is shown. Machine simulation includes the problem formulation, model building, preparation of a computer program, an assessment of the reliability and realism of the process under study, analysis of results and decision-making.