• Journal of Platform Technology
• /
• v.6 no.4
• /
• pp.18-25
• /
• 2018

This paper describes a real-time human and robot tracking method in Intelligent Space with multi-camera networks. The proposed method detects candidates for humans and robots by using the histogram of oriented gradients (HOG) feature in an image. To classify humans and robots from the candidates in real time, we apply cascaded structure to constructing a strong classifier which consists of many weak classifiers as follows: a linear support vector machine (SVM) and a radial-basis function (RBF) SVM. By using the multiple view geometry, the method estimates the 3D position of humans and robots from their 2D coordinates on image coordinate system, and tracks their positions by using stochastic approach. To test the performance of the method, humans and robots are asked to move according to given rectangular and circular paths. Experimental results show that the proposed method is able to reduce the localization error and be good for a practical application of human-centered services in the Intelligent Space.

• The Journal of Korea Robotics Society
• /
• v.14 no.3
• /
• pp.211-220
• /
• 2019

Surface electromyogram (sEMG), which is a bio-electrical signal originated from action potentials of nerves and muscle fibers activated by motor neurons, has been widely used for recognizing motion intention of robotic prosthesis for amputees because it enables a device to be operated intuitively by users without any artificial and additional work. In this paper, we propose a training-free unsupervised sEMG pattern recognition algorithm. It is useful for the gesture recognition for the amputees from whom we cannot achieve motion labels for the previous supervised pattern recognition algorithms. Using the proposed algorithm, we can classify the sEMG signals for gesture recognition and the calculated threshold probability value can be used as a sensitivity parameter for pattern registration. The proposed algorithm was verified by a case study of a patient with partial-hand amputation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.663-665
• /
• 2009

Ubi-Home 환경에서 장치제어를 하기위해 다양한 방법이 제안되었다. 그 중 원격지에서 장치제어를 하기 위해 특정 기기(로봇)를 활용할 수 있다. 하지만 이와 같은 방법에는 로봇과 장치들의 위치인식과 이동경로 설정에 따른 제약사항이 따른다. 또한 이러한 위치인식 및 이동에는 미리 작성된 하나의 맵이 사용되므로 새로운 환경의 변화나 확장에 적용할 수 없다. 따라서 본 논문에서는 로봇과 장비의 위치인식과 이동경로를 위한 학습형 맵 작성 기법을 제안하며, 테스트를 위해 Atmega128v4 MCU와 AX-12+ Motor, AX-S1 Sensor, ZBS-200 Zigbee, CL-1L5/603LM Infrared Ray Sensor로 로봇을 제작하여 실내 환경 모형에서 테스트하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.586-588
• /
• 2022

산업용 설비의 결함을 예측하기 위해 기기에 탑재된 다양한 센서의 시계열 데이터를 이용한 결함 진단 연구가 확대되고 있다. 센서의 시계열 데이터는 값의 특성이 명확하지 않을 경우, 특징 추출이 제한적이지만, 주파수 영역으로 변환하면 진폭, 피크 주파수 등 데이터의 정보를 다각도로 담고 있어 특성을 추출하는 데에 이점이 있다. 따라서, 본 논문은 FFT(Fast Fourier Transform) 기법을 이용해 분해된 데이터를 조합하여 학습에 적용하는 선택적 FFT 기법을 제안한다. 제안 기법은 협동 로봇의 진동 신호를 이용한 결함 진단에 적용하였으며, 기존 결함 진단 정확도 대비 최대 41.81% 향상된 성능을 보였다.

• Composites Research
• /
• v.36 no.1
• /
• pp.48-52
• /
• 2023

Fiber-reinforced composites have anisotropic material properties, so the mechanical properties of composite structures can vary depending on the stacking sequence. Therefore, it is essential to design the proper stacking sequence of composite structures according to the functional requirements. However, depending on the manufacturing condition or the shape of the structure, there are many cases where the designed stacking angle is out of range, which can affect structural performance. Accordingly, it is important to analyze the stacking angle in order to confirm that the composite structure is correctly fabricated as designed. In this study, the stacking angle was predicted from real cross-sectional images of fiber-reinforced composites using convolutional neural network (CNN)-based deep learning. Carbon fiber-reinforced composite specimens with several stacking angles were fabricated and their cross-sections were photographed on a micro-scale using an optical microscope. The training was performed for a CNN-based deep learning model using the cross-sectional image data of the composite specimens. As a result, the stacking angle can be predicted from the actual cross-sectional image of the fiber-reinforced composite with high accuracy.

• Korean Parent-Child Health Journal
• /
• v.3 no.2
• /
• pp.49-66
• /
• 2000

Pregnancy is a task of creation in which a women mobilizes her self and the resources available to her in the generation of a new person. Through the pregnancy, a mother has formed the new human relationship with a fetus. Maternal-fetal relationship is considered one of mechanism making the relationship of mother and child. It is important to well-being of mother and fetus, too. The earliest interaction between a mother and her child is during prenatal period. Maternal-fetal dyad is unique and perceived interactions with the fetus make the pregnancy real for the mother. Maternal behavior is "instinctive" and is formed in early childhood by copy of the mother. But, Rubin argues that this behavior is an open intellectual system rather than a prepackaged bundle of traits. There is openness to new learning and a high value placed on knowing which occurs with silent organization in thought. Thus, nurses and other health professionals provide prenatal care that optimally is part of the environment in which the maternal-fetal dyad develops. Thus it is appropriate for nurses to increases their understanding of the dyad and to explore ways to enhance its development. This study focusses on the interaction ability and response of fetus, and the maternal-fetal interaction. The research of fetal responses that involve physiological changes and motor movement have been shown to coccur to both external sensory stimuli and to maternal emotional states. The fetus does also have sensory capacity to be aware of some maternal behaviors, and the motor ability to respond in a way the mother can notice. Thus, very rudimentary interactions appear to be possible. Maternal awareness of fetal activity was supported by several studies. More interesting to the present study are description of maternal-fetal interaction and the finding that there appear to be levels of sensitivity to the fetus involved in maternal-fetal interactions. First, recognition comes that the fetus is separate from the maternal self. Next, the fetus engages in. Lastly, the parent may describe active interaction with the fetus, believing that mother and fetus are communicating on a meaningful level. Several interventions, developed to promote more active interaction between mother and fetus, have been reviewed. In general, the parents were taught to stimulate the fetus and to notice the fetus' responses. This type of intervention might increase the mother's sensitivity to her unborn baby, and she may have a head start toward learning how to res pond sensitivity to the newborn infant. Research In the area of maternal-fetal interaction is scarce. Sensitive behavior is construed as an appropriate and timely response to a signal of need from another person, but no such signal of need can be claimed regarding the fetus. The highest level of maternal-fetal interaction, therefore, might be based more on maternal representations of the imagined fetus than on factual evidence of fetal participation.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.10
• /
• pp.97-107
• /
• 2013

The latest programming paradigm has been mostly geared toward object-oriented programming and visual programming based on the object-oriented programming. However, object-oriented programming has a more difficult and complicated concept compared with that of existing structural programming technique; thus it has been very difficult to educate students in the IT-related department. This study designed and implemented a Java robot training kit in which the Java virtual machine is built so that it may enhance the desire and motivation of students for learning the object-oriented programming using the training kit which is possible to attach various input and output devices and to control a robot. The developed Java robot training kit is able to communicate with a computer through the USB interface, and it also enables learners to manufacture a robot for education and to practice applied programming because there is a general purpose input and output port inside the kit, through which diverse input and output devices, DC motor, and servo motor can be operated. Accordingly, facing the IT fusion era, the wall between the academic circles and the major becomes lower and the need for introducing education about creative engineering object-oriented programming language is emerging. At this point, the Java robot training kit developed in this study is expected to make a great commitment in this regard.

• The Journal of Korean Society for School & Community Health Education
• /
• v.4
• /
• pp.79-95
• /
• 2003

This dissertation aims to analyze various safety accidents taking place during physical education class according to physical education teacher's value orientation, to identify teacher's value orientation that can minimize safety accidents, and to provide basic materials for safe and smooth class management. For this purpose, data have been collected from 261 physical education teachers at some middle and high schools in G City in Kyung-Ki Province and Busan Metropolitan City. The materials were treated as follows: The variables on demographic characteristics of physical education teachers are determined by t-test ; The analysis of one-way ANOVA and relationship between value orientation and safety accident prevention activities was conducted through Pearson's linear correlation analysis and multiple regression; The analysis of the relationship between value orientation and actual conditions of safety accidents was conducted through logistic regression. First, there is almost no awareness difference of physical education teachers' value orientation according to demographical variables. The value orientation physical education teachers consider to be the most important is, however, mainly 'mastery of disciplinary lesson.' There is a statistically significant difference in safety accident prevention activities according to demographical variables. Teachers' focuses in class contents showed a significant difference according to teaching experience and working area, while the dependency on facility has a significant difference according to teaching experience and school type. Second, there is no correlation between physical education teacher's value orientation and safety accident prevention activities because there is virtually no statistically significant difference between them. It means that safety accident prevention activities are not related with on which teachers place emphasis among mastery of disciplinary lesson, social reconstruction, self-realization, ecological integration and value orientation on learning process. Third, the analysis of safety accident prevention activities according to physical education teachers' value orientation revealed that the lower value orientation in social reconstruction is, the more safety accidents teachers experience. It is also found that crashes among students, ball games and leg injuries are inter-related with social reconstruction in value orientation, over-motivation and unskilled motor function ; athletic sports with value orientation on learning process and safety prevention training ; unskilled motor functions with value orientation in ecological integration and disobedience to teacher's directions ; winter accidents with mastery of disciplinary lesson in value orientation. In conclusion, the research indicates that physical education teacher's value orientation according to demographical variables didn't show any significant difference, while one according to safety accident prevention activities showed significant difference. Besides, physical education teachers' value orientation is not related to safety accident prevention activities, but the relationship between value orientation and actual conditions of safety accidents showed correlations according to each variable. Especially, teachers with lower value orientation in social reconstruction experienced more safety accidents. Therefore, physical education teachers can manage physical education class more safely with more emphasis on value orientation in social reconstruction.

• Journal of Aerospace System Engineering
• /
• v.16 no.1
• /
• pp.49-55
• /
• 2022

The role of drones has been expanded to various fields such as agriculture, construction, and logistics. In particular, agriculture drones are emerging as an effective alternative to solve the problem of labor shortage and reduce the input cost. In this study therefore, we proposed the fruit recognition algorithm and harvesting mechanism for fruit harvesting drone system that can safely harvest fruits at high positions. In the fruit recognition algorithm, we employ "You-Only-Look-Once" which is a deep learning-based object detection algorithm and verify its feasibility by establishing a virtual simulation environment. In addition, we propose the fruit harvesting mechanism which can be operated by a single driving motor. The rotational motion of the motor is converted into a linear motion by the scotch yoke, and the opened gripper moves forward, grips a fruit and rotates it for harvesting. The feasibility of the proposed mechanism is verified by performing Multi-body dynamics analysis.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.8
• /
• pp.2750-2757
• /
• 2010

Recently, there have been a number of voices from industry that automotive education at the college is too theoretical and so college graduates are lack of practical ability to apply the automotive idea to actual systems. In order to educate engineering students design qualities in creative problem solving, this paper reports the results of employing engineering design projects in a Motor sports course of at A College. This paper presents design creterion and manufacture process of $CO_2$ model dragster, measures $CO_2$ model dragster speed and aerodynamic drag. In order to investigate the impact of engineering design on student's learning, a survey was conducted in 2008 spring semester. According to the results of survey analyses, student's key competencies and satisfaction reports high values on engineering design projects.