The optimum wavelength region of the remote fire surveillance system which operate with radiation from the fire is investigated. Then, it is said that 4.4-4.8 uμ region which is the emission band of carbon dioxide in the flame is favorable to detect the fire, because of better atmospheric transmission and reduced interference from background radiation.
A novel analog-digital hybrid processor for smoothing noisy data is constructed and applied to infrared spectroscopic measurements.The whole system of the processor consists of a magnetic drum memory and linear operational units which are constructed with integrated circuits.The principle of operation is founded on the numerical filtering using the weighted moving average procedure.Time delay of the data in operation are carried out by means of the magnetic drum memory, of which peripheral circuits are extremely simplified. The succeeding linear operational circuits calculate the weighted moving averages in real time.The overall accuracy of the system is about ±0.1%.This processor can be easily connected to the spectroscopic instruments on-line for real time operation. Some of the typical results taken with this processing system are presented for the absorption spectrometry in the infrared and far infrared regions.
The precision of the parabolic interpolation technique which have been usually applied for the computations bf the two-center transition moment integrals with Slater Orbitals of non-integer effective principal quantum numbers is ascertained tolerable by comparing with the results of the McLaurin series expansion technique.