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The comparison results show that the realized artificial intelligence model is an appropriate model to estimate the sound quality of the automotive interior noise. ...In this research, the interior noise of a passenger car was measured, and the sound quality metrics including sound pressure level, loudness, sharpness, and roughness were calculated. An artificial neural network was designed to successfully apply on automotive interior noise as well as numerous different fields of technology which aim to overcome difficulties of experimentations and save cost, time and workforce. ...Sound pressure level, loudness, sharpness, and roughness were estimated by using the artificial neural network designed by using the experiment values. The predicted values and experiment results are compared.

The monitoring and control of an artificial climate is necessitated by the Mars Dome Project (MDP) [ref 1]. MDP is designed to grow plants in an enclosed structure under reduced pressure.

The purpose of the current work is to overcome these limitations and to present how Artificial Neural Networks expand the capability of utilizing engine speed signal for fuel identification by using main combustion characteristics such as firing peak cylinder pressure and peak pressure rise rate.

The test periods require a couple of months because the accelerations of those test methods were restricted by consumption rate of lubricant oil. An artificial ash accelerated accumulation (AAAA) test was attempted for drastic shortening of the test periods.

This paper presents the details of the study to optimize and arrive at a design base for a vacuum pump in an automotive engine using resilient back propagation algorithm for Artificial Neural Networking (ANN). The reason for using neural networks is to capture the accuracy of experimental data while saving computational time, so that system simulations can be performed within a reasonable time frame.

A second aim is to predict the tyre flotation pressure on dry sandy soil by using Artificial Neural Networks (ANNs) Technique. A third aim is to predict a new tyre size that improves flotation on dry sand by using Artificial Neural Networks (ANNs) Technique. ...A third aim is to predict a new tyre size that improves flotation on dry sand by using Artificial Neural Networks (ANNs) Technique. Experimental investigation has been carried out on three tubeless tyre of sizes (225/75R15, 235/70R15 and 255/60R15) inflated each with four inflation pressures (50, 100, 150 and 200 kPa) on three dry sand with three densities (Loose, Medium, and High). ...The investigation aimed at determines the tyre deflection-load, sinkage-load relationships were measured and the tyre flotation pressure. The artificial neural network (in MATLAB program) simulating the tyre deflection and sinkage on dry sand was used for all tyre and soil parameters.

This study aims at building efficient and robust artificial neural networks (ANN) able to reconstruct the in-cylinder pressure of Diesel engines and to identify engine conditions starting from the signal of a low-cost accelerometer placed on the engine block. ...In this view, the artificial neural network is meant to be efficient in terms of response time, i.e. fast enough for on-line use.

Stick forces per airplane normal acceleration in steady-state maneuvering flight were tailored to meet the requirements of the military specification by incorporating a Q-bellows bleed air subsystem into the artificial feel system. In the stick free dynamic analysis, residual oscillations of airplane normal acceleration following a step stick force input and control forces in sudden pull-ups have been studied for various feel systems.

This paper evaluates the measurement techniques of these two in-situ methods and provides results of acoustic absorption coefficient of a commercial artificial Astroturf, a Dow quash material, and a grass surface. The single channel microphone method uses impulse response calculations from a Maximum Length Sequence (MLS) signal excitation of an electro-acoustic loudspeaker and a Fast Hadamard Transformation (FHT) based cross-correlation algorithm by the de-convolution of recorded single channel microphone signal and the input MLS signal.

Analysis and prediction of NOX and HC emissions for CI engines based on combustion parameters would enable better engine design and fuel selection leading to lesser emissions. It is possible that NOX emissions, which are controlled by combustion temperature, could be predicted from in-cylinder parameters that include data form pressure and heat release patterns. A similar attempt could be performed for HC emissions also. This paper hereby attempts to correlate NOX and HC emissions of a CI engine with in-cylinder parameters and also hopes to evaluate the relative impacts of each of these parameters on NOX and HC emissions.

Further, an artificial intelligence search engine has been applied to this problem to achieve near-optimal performance given the constraints of the seat design.

I invented a new measurement method for quantifying the ride comfort using the artificial human model that includes artificial human lumbar model, and I took the pressure variation at the artificial nucleus pulposus, did experiments about the pressure variation curves on highway bridge joints at various speeds. ...I invented a new measurement method for quantifying the ride comfort using the artificial human model that includes artificial human lumbar model, and I took the pressure variation at the artificial nucleus pulposus, did experiments about the pressure variation curves on highway bridge joints at various speeds.

Artificial exterior diesel idling noise and its variations with varying its parameters such as frequency spectrum and time wave form were made using the generation techniques developed in the author's laboratory. ...The subjective evaluations on unpleasantness of the artificial idling noise and its variations were conducted through the paired comparison technique.

After nine years of work and five design iterations, a test method and apparatus has been developed that exposes a vehicle to a repeatable and measurable artificial rain excitation. The test apparatus, method and performance data are reviewed. Performance data is shown for several different vehicles and roof systems.

A cylindrical combustion bomb with dynamic charging system and electro-hydraulic sampling valve is used to study the effects of turbulence on hydrocarbon (HC) emissions from a quench layer and from artificial crevices. The turbulence level is varied by changing the delay time between induction of combustible charge and ignition. ...Upper limit estimates of the residual wall layer HC concentration show that residual quench layer hydrocarbons are only a small fraction of the exhaust HC emission. Artificial crevice experiments show that the exhaust HC emission is directly proportional to crevice volume and that the initial equivalence ratio strongly influences the species distribution in the exhaust.

Transducer drift driven by the combustion event, often referred to as thermal shock, enhances measured cyclic variability by exaggerating the effects of actual cyclic variations in combustion temperature. Any artificial variability that persists until the portion of the cycle used for pegging offsets all of the referenced measurements of that cycle by the magnitude of the variability. ...It is preferable to peg when artificial variability is minimized, which occurs when the transducer output is least affected by the thermally transient nature of the engine cycle.

Additionally an artificial inlet boundary conditions was tested for the use with real-gas thermodynamics and was shown to be capable of reducing the simulation time significantly.

The electrohydraulic control package on this pump acts as the interface between the high intelligence capability of the electronics and the high horsepower capability of the hydraulics.

Where intelligence goes Changes in distributed or embedded control as well as processor power are altering automotive computing hierarchy.

An example is shown for an engine under artificial excitation.