Combat-armored vehicles were equipped with an automatic-fire-extinguishing system to ensure the safety of the crew and vehicle from fires on the vehicle. When a fire was occurred, the automatic-fire-extinguishing system automatically detects the fire through sensors and detection lines, sprays a fire extinguisher, and notifies the crew visually and audibly. Recently, there had been cases of automatic-fire-extinguishing systems malfunction on combat-armored vehicles. In this study, in order to resolve the automatic-fire-extinguisher's malfunction phenomenon, ground noise and inter-circuit noise generated from the fire detection line were identified, and the resistance connected on the circuit was revised to remove noise. As a result of resistance revision, the noises was eliminated and the electromotive force difference between input circuits was made constant, thereby improving the malfunction of the automatic-fire-extinguishing system. By applying the result, it was confirmed that the control device sensed a temperature similar to the actual temperature on actual vehicles, and it was confirmed that the automatic-fire-extinguishing system's malfunction phenomenon was not founded in the field vehicles after then.

본 연구는 발가락 지방 소거 검사 시에 종종 저품질의 영상이 획득되는 경우에 주목하여 다양한 조절인자들을 조절하지 않아도 손쉽게 영상 품질을 향상하는 방법을 고안해보았다. 팬텀과 지원자를 대상으로 발 전용 코일만 사용한 경우와 추가 코일을 결합 사용한 경우의 영상을 획득 후 신호대 잡음비(SNR)를 측정하여 비교하였다. 시상면, 관상면, 축상면 모두 T2 Dixon을 시행하였고, 시상면의 경우 T2 지방 소거(FS)와 T1 지방 소거를 추가 시행하였다. 팬텀 검사에서 추가 코일을 결합 사용 시 SNR은 시상면의 경우 T2 Dixon water는 1.21배, T2 FS은 1.22배, T1 FS은 1.17배 향상되었다. 관상면 T2 Dixon water는 1.15배, 축상면 T2 Dixon water는 1.47배 향상되었다. 지원자 검사에서 추가 코일을 결합 사용 시 SNR은 시상면의 경우 T2 Dixon water는 2.07배, T2 FS은 5.17배, T1 FS은 3.20배 향상되었다. 관상면 T2 Dixon water는 1.20배, 축상면 T2 Dixon water는 1.37배 향상되었다. 추가 코일을 결합 사용하였을 때 모든 지방 소거 검사 및 모든 방향에서 SNR 향상의 결과를 얻을 수 있었다. 결론적으로 사용자의 고도 기술 및 추가 검사 시간이 필요하지 않고도 SNR을 향상할 수 있음을 의미한다.

The Commission for Conservation of Antarctic Marine Living Resources (CCAMLR) is utilized to manage krill resources using acoustic data collection and a scientific observer program operating on the fishing boats. However, the acoustic data were contained seriously noise, example of background, spike, and intermittent noise, due to purpose of fish boats. In this study, the noise removal techniques were confirmed the potential of the acoustic data analysis. Acoustic system and frequency used in the survey were commercial echosounder (ES70, SIMRAD) and 200 kHz split beam transducer. Acoustic data were analyzed using Echoview software (Myriax), and general data analysis and new noise removal method was used. Although a variety of noise, most of the noises have been removed using the noise removal processing. We confirmed the possibility of analyzing the acoustic data obtained from fish boats. The results will be useful for analysis of the acoustic data acquired from krill fishing boats.

  The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound imag