TL;DR: A new aimpoint selection method proper for engineering application is proposed in this article which has the advantage of more efficiency in both space and time consuming.
Abstract: Selecting key point in airplane target as tracking aimpoint at end term is important for IR imaging missiles to improve guidance accuracy. A new aimpoint selection method proper for engineering application is proposed in this article. Other than tracking the center of plume which is the most marked property of airplanes, some point near engine is selected as aimpoint. Firstly plume and skin are extracted by using different thresholds according to their gray scale statistics and features like circularity, distance ratio and central axis are obtained to classify the image types. Then referring to these image types, the centroid of the segmented sector or a point on the line of central axis of plume sector are selected as aimpoint respectively. The algorithm has the advantage of more efficiency in both space and time consuming. Tests have shown the validity of the algorithm.
TL;DR: In this paper, a report creation system consisting of a voice recognition unit 3, a clock unit 7 and a term dictionary 9 is presented, which can automatically create reports for various different uses.
Abstract: [Problem] To provide an automatic report creation system which can automatically create reports for various different uses. [Solution] This automatic report creation system comprises a voice recognition unit 3, a clock unit 7 and a term dictionary 9, wherein the voice recognition unit 3 recognizes the input of a pre-stored start term, the clock unit 7 calculates the start time on the basis of the time when the voice recognition unit 3 recognized input of the start term, the voice recognition unit 3 recognizes that a pre-stored end term has been inputted, the clock unit 7 calculates the end time on the basis of the time when the voice recognition unit recognized input of the end term, the voice recognition unit 3 stores speech from the start time to the end time as recorded speech, analyzes the recorded speech, extracts and stores utterance keywords that are among the terms contained in the recorded speech, utterance keywords being terms contained in a term dictionary 9, and creates a file which contains information relating to the start time, the end time and the utterance keywords, and which is associated with the recorded speech.