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Crosscheck tests of fast electrical mobility spectrometers, Differential Mobility Spectroscopy (DMS) and Engine Exhaust Particle Sizer(EEPS), were conducted to evaluate the accuracy of fine particle measurement. Two kinds of particles were used as test particles for the crosscheck test of instruments: particles emitted from diesel vehicles and diluted in a full dilution tunnel, and particles generated by CAST. In the steady state tests, it was confirmed that the average concentration of each instrument was within the range of ±2σ from the average concentration of all the same type of instruments. In the transient tests, it is verified that the instruments have almost equal sensitivity. For application of the fast electrical mobility spectrometers to evaluation of particle number and size distributions, it is essential to develop a calibration method using reference particle counters and sizers (CPC, SMPS, etc.) and maintenance methods appropriate for each model.

Our study was conducted to demonstrate the primary factors involved in fires which result from an automobile's electrical wire harness system with fuses. In our experiments we used modeled automobile wire harnesses to study the processes of ignition and the resultant fires. Current was passed through blade type fuses to a portion of the harness and was intermittently short-circuited by a grounded metal plate. The nominal current ratings of the fuses we used were lower than or equal to 30 amperes [A], and the operating current was 30A at 12 Volts. Current flowed to the harness specimens through a DC power source. We found that electrical tracking with scintillation, caused by a weak electric flow through carbonized wire insulation, rarely generated flames in the wire harnesses without blowing the fuse. Ignition was never observed on the insulation near the areas shorted by the arc and/or overloaded currents going to the wire elements.

Analysis of vehicle motion under conditions of lateral wind disturbance is important for evaluating handling properties and vehicle stability. In the analysis, identification of vehicle dynamics is often carried out, and data for the identification is usually measured by a test with a lateral wind generator. However, vehicle transient response in the test usually converges for a short duration because of the limitation of the wind width. If the identification carried out from this data by conventional methods such as FFT, fine frequency resolution is not gained. In this research, an identification method based on the autoregressive model (AR-method), which is robust for a phenomenon of short duration, has been applied to the analysis of vehicle dynamics under the conditions in order to solve the above issue.

ISO26262 was intended only for passenger cars but can be applied to motorcycles if the Controllability (C) is subjectively evaluated by expert riders. Expert riders evaluate motorcycle performance from the viewpoint of ordinary riders. However, riding maneuvers of ordinary riders have not been confirmed by objective data. For this reason, it is important to understand the basic characteristics of riding maneuvers of both expert and ordinary riders. This study seeks to confirm the compatibility between the riding maneuvers of expert riders and those of ordinary riders. The riding maneuvers and vehicle behavior of four expert riders and 16 ordinary riders were compared using the results of a test assuming normal running.