In this paper, the interactive effects of major factors on juvenile delinquency were examined using multiple regression analysis. Major factors on juvenile delinquency are attachment to the parents, supervision of the parents, school achievement, strain caused by school achievement(achievement strain), strain caused by college(or job) entrance (entrance strain), the degree of contact with delinquent peers(delinquent contact) and the degree of bond with delinquent peers(delinquent bond). Interaction terms were created by multiplying each of the major factors. Juvenile delinquency was measured by three methods; the times of minor delinquency, the times of serious delinquency, and the seriousness measure of the committed delinquent behavior by seriousness scale. Three sets of regressions were then performed. First, minor delinquency measure was regressed on the seven variables of major factors, with and without the twelve interaction terms. Second, serious delinquency measure was regressed on the seven variables of major factors, with and without the twelve interaction terms. Third, seriousness measure was regressed on the seven variables of major factors, with and without the twelve interaction terms. The result from the regressions with the interaction terms shows that the twelve interaction terms significantly increase the amount of explained variance in both serious delinquency and seriousness degree but not in minor delinquency. The amount of explained variance in the serious delinquency is increased from 26.8% to 31.5%, or 17.6%. Explained variance in seriousness of delinquency is increased from 31.2% to 34.0%, or 9.0%. But increasement in minor delinquency is not significant, from 43.9% to 44.3%, only 0.9%. The five terms of twelve interaction terms have a significant effect on the serious delinquency or the seriousness of delinquency; 'attachment × entrance strain', 'attachment × delinquent contact', 'supervision × delinquent contact', 'school achievement × delinquent contact', and 'school achievement × delinquent bond'. Overall, the paper indicates that the addition of the interaction terms substantially improves the prediction of serious delinquency.

IPQC system was introduced for the flight safety at the age of scientific safety management in the 1980s. In spite of performing this system, aircraft accidents caused by human factors, which were above 70% among all flight accident factors, have not been reduced. Accordingly, throughout this paper I analyzed the aircraft accident factors by means of a literature study and a pilot survey. Then, based on the notion of TQC(Total Quality Control), I hierarchically classified Individual Quality into Capacity Management, Safety Management, and General Management and did the low-ranked management factors as well. AHP (Analytic Hierarchy Process), one of the scientific management methods, was used for estimating the relative importance of Individual Quality Control factors and the heavy aircraft accident causes over the last 20 years were analyzed according to the flight ranks. Based on the comparative analysis of results derived above, an IPQC model as flight ranks is established. In short, according to this newly suggested model we can obtain the maximum flight safety with the preventive actions against aircraft accidents caused by human factors and by improving the operation effect under the reasonable pilot management.

솔껍질깍지벌레 수컷성충의 비행습성 및 합성페로몬에 대한 반응이 해송 피해림에서 조사되었다. 해송임분내에서 수컷성충의 자연비행밀도는 수관부위가 지표면 근처보다 높았다. 페로몬 50을 처리한 장소로부터 페로몬이 처리되지 않은 끈끈이 트래？ frjflquf로 설치하여 수컷의 부착수를 조사한바 페로몬에 영향 받는 거리는 10mm이하로 조사되었다. 합성페로몬 50은 높은 유인효과가 있었으나 1처리구는 유인효과가 인정되지 않았다. 수관 울폐도가 높은 지역에서의 지상높이별 유인개체수는 자연비행 밀도와 같이 수관상부가 지표면 근처보다 많았으나 울폐도가 낮은 지역에서는 오히려 지표면 근처에서 더 많은 개체가 유인되는 경향이었다. 본 해충의 신규발생지 조사에 있어 알주머니 육안조사에 의한 관해 방법 및 페로몬트랩에 의한 방법을 비교한바 페로몬트랩에 의한 조사가 보다 효과적이었다. 111m의 공간에 합성페로몬 32mg을 처리한 경우 교미교란 효과는 나타나지 않았다.

본 연구는 비행중인 담배나방(Helicoverpa assulta (Guenee))성충의 혈림프내 지질과 탄수화물의 함량변화와 그들의 호르몬조절가능을 조사하기 위하여 수행되었다. 비행초기 몇분동안에 암수 모두 빠른 지질증가반응을 보였고, 약 2기간까지 증가된 수준이 유지되었다. 비행중 혈림프내 탄수화물농도는 거의 변화가 없었지만, 수컷에서는 비행후 10분 동안 약간의 농도증가가 있었다. 합성 지질동원호르몬(Lom-AKH-II), 당동원호르몬(Bld-HrTH), 담배나방 자신의 뇌-카디아카체 추출물들 모두 담배나방의 혈림프내 지질과 당함량을 높여주었는데, 지질이 당보다 훨씬 더 높게 나타났다. 이상의 결과로 주로 지질이 담배나방의 주 비행연료로 사용되고 혈림프내 지질함량은 지질동원호르몬의 조절을 받는 것으로 보여진다. 또한 담배나방에는 지질동원호르몬과 당동원 호르몬이 같이 있을 수 있으며, 이들 펩티드들의 구조는 Mass-AKH, Hez-HrTH, Lom-AkH-II, Pea-HrTH 등의 구조와 유사할 것이라고 유추되었다.

To fly a drone or unmanned aerial vechicle(UAV) safely, its pilot needs to maintain high situation awareness of its flight space. One of the important ways to improve the flight space awareness is to integrate both the global and the local navigation map a drone provides. However, the drone pilot often has to use the inconsistent reference frames or perspectives between the two maps. In specific, the global navigation map tends to display space information in the third-person perspective, whereas the local map tends to use the first-person perspective through the drone camera. This inconsistent perspective problem makes the pilot use mental rotation to align the different perspectives. In addition, integrating different dimensionalities (2D vs. 3D) of the two maps may aggravate the pilot’s cognitive load of mental rotation. Therefore, this study aims to investigate the relation between perspective difference (0°, 90°, 180°, 270°) and the map dimensionality matches (3D-3D vs. 3D-2D) to improve the way of integrating the two maps. The results show that the pilot’s flight space awareness improves when the perspective differences are smaller and also when the dimensionalities between the two maps are matched.

An insect-like flapping-wing flying-robot should be able to produce flight forces and control moments at the same time only by flapping wings, because there is no control surface at tail just like an insect. In this paper, design principles for the flapping mechanism and control moment generator are briefly explained, characteristics measured force and moment generations of the robot are presented, and finally controlled flight of the flying robot is demonstrated. The present insect-like robot comprises a lightweight flapping mechanism that can produce a flapping angle larger than 180° and a control moment generator that produces pitch, roll, and yaw moments by adjusting location of the trailing edges at the wing roots. The measured force and moment data show that the control input angles less than 9° would not significantly reduce the vertical force generation. It is also observed that the pitch, roll, and yaw control moments are produced only by the corresponding control input. The simple PID control theory is used for the controlled flight of the flying robot, controlling pitch, roll, and yaw motions. The flying robot successfully demonstrated controlled flight for about 40 seconds.

In this paper, we proposed visual information to provide a highly maneuverable system for a tele-operator. The visual information image is bird’s eye view from UFR(Unmanned Flying Robot) shows around UGR(Unmanned Ground Robot). We need UGV detection and tracking method for UFR following UGR always. The proposed system uses TLD(Tracking Learning Detection) method to rapidly and robustly estimate the motion of the new detected UGR between consecutive frames. The TLD system trains an on-line UGR detector for the tracked UGR. The proposed system uses the extended Kalman filter in order to enhance the performance of the tracker. As a result, we provided the tele-operator with the visual information for convenient control.

The Global Positioning System (GPS) is widely used to aid the navigation of aerial vehicles. However, the GPS cannot be used indoors, so alternative navigation methods are needed to be developed for micro aerial vehicles (MAVs) flying in GPS-denied environments. In this paper, a real-time three-dimensional (3-D) indoor navigation system and closed-loop control of a quad-rotor aerial vehicle equipped with an inertial measurement unit (IMU) and a low-cost light detection and ranging (LIDAR) is presented. In order to estimate the pose of the vehicle equipped with the two-dimensional LIDAR, an octree-based grid map and Monte-Carlo Localization (MCL) are adopted. The navigation results using the MCL are then evaluated by making a comparison with a motion capture system. Finally, the results are used for closed-loop control in order to validate its positioning accuracy during procedures for stable hovering and waypoint-following.

본 연구는 3D게임의 완성도와 사용자의 플레이 욕구를 높이기 위해 다양한 몰입요소들 중 사용자 이동시스템을 서비스하고 있는 게임에서 이동수단의 하나인 '비행' 행위에 따른 사용자의 심리적 반응을 분석하였다. 게임 내 이동시스템 종류인 포탈, 탑승물, 소환, 추적 등의 사용자 이동 구도를 살펴보고, 비행시스템이 존재하는 게임에서 사용자들에 미치는 영향과 기준을 통해 Aion 게임을 대상으로 객관적인 설문통계 방법을 이용하여 비행 이동이 사용자들에게 심리적으로 미치는 영향과 요인들에 대해 분석하였다. 그렇게 분석된 결과를 토대로 게임에서의 비행 이동이라는 요소, 각 게임 별 비행 이동시스템 구조와 각 배경그래픽이 게임 사용자의 심리적 행동이나 반응 요소, 사용자가 게임 속 가상세계의 지형에 따른 비행을 하고 싶은 충동성, 비행 시스템에 대한 사용자의 의존성 그리고 비행과정에서의 비행 행동과 배경이 되는 가상세계의 표현 수준에 따른 몰입감(沒入感) 등의 특징을 밝혀낼 수 있었으며, 이용시간, 연령층, 레벨에 따라 비행행동 반응에 차이가 있음을 알 수 있었다.

본 연구는 천연 인듐의 중성자폭획 후에 발생된 감마선을 12개의 BGO(Bi4Ge3O12)섬광검출기로 구성된 검출장치를 이용하여 즉발감마선을 측정하여 중성자공명에의해서 발생된 감마선을 분석하여 중성자의 에너지 1 ~ 300 eV영역에 대하여 공명에너지를 분석하였다. 사용되어진 검출장치는 시료에서 발생된 즉발감마선에 대하여 모든 감마선을 측정할 수 있는 기하학적인 구조로 만들어졌다. 중성자원으로는 교토대학의 원자로연구소의 46-MeV 전자선형가속기의 광핵반응에서 발생하는 중성자를 이용하였다. 중성자발생원으로부터 검출기까지의 거리가 12.7 ± 0.02m 이므로 광핵반응에서 발생하는 강한 X선의 영향을 고려하여 수 keV영역이하의 중성자에너지에 대하여 중성자공명을 측정하였다. 측정되어진 공명들은 1 eV이상의 에너지 영역에서 거대 공명들을 측정하였고 이들 공명들은 이론 에서 알려진 값들과 비교하였다. 본 연구를 통하여 기존에 알려진 거대 공명의 에너지를 확인하였고, 100 eV이상의에너지 영역에서의 공명에너지들에 대한 평가에 의한 이론값들이 실제로 존재하는 공명임을 실험적으로 확인하였다. 1 keV이상의 영역에 대하여는 공명이 연속적인 구조를 보이고 있음을 실험적으로 확인했으며 공명에 대하여 통계적인 평가가 있어야함을 알았다. 91.49 eV 공명은 본 연구를 통하여 처음 발견되어진 공명이라 볼 수 있다.

This paper describes efficient flight control algorithms for building a reconfigurable ad-hoc wireless sensor networks between nodes on the ground and airborne nodes mounted on autonomous vehicles to increase the operational range of an aerial robot or the communication connectivity. Two autonomous flight control algorithms based on adaptive gradient climbing approach are developed to steer the aerial vehicles to reach optimal locations for the maximum communication throughputs in the airborne sensor networks. The first autonomous vehicle control algorithm is presented for seeking the source of a scalar signal by directly using the extremum-seeking based forward surge control approach with no position information of the aerial vehicle. The second flight control algorithm is developed with the angular rate command by integrating an adaptive gradient climbing technique which uses an on-line gradient estimator to identify the derivative of a performance cost function. They incorporate the network performance into the feedback path to mitigate interference and noise. A communication propagation model is used to predict the link quality of the communication connectivity between distributed nodes. Simulation study is conducted to evaluate the effectiveness of the proposed reconfigurable airborne wireless networking control algorithms.