• Spatial Information Research
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• v.22 no.1
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• pp.75-84
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• 2014

Power lines are one of the main obstacles causing an aircraft crash and thus their realtime detection is significantly important during flight. To avoid such flight obstacles, the use of LIDAR has been recently increasing thanks to its advantages that it is less sensitive to weather conditions and can operate in day and night. In this study, we suggest a fast method to detect power lines from LIDAR data for flight obstacle avoidance. The proposed method first extracts non-ground points by eliminating the points reflected from ground surfaces using a filtering process. Second, we calculate the eigenvalues for the covariance matrix from the coordinates of the generated non-ground points and obtain the ratio of eigenvalues. Based on the ratio of eigenvalues, we can classify the points on a linear structure. Finally, among them, we select the points forming horizontally long straight as power-line points. To verify the algorithm, we used both real and simulated data as the input data. From the experimental results, it is shown that the average detection rate and time are 80% and 0.2 second, respectively. If we would improve the method based on the experiment results from the various flight scenario, it will be effectively utilized for a flight obstacle avoidance system.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.4
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• pp.7-16
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• 2009

A robot must be able to generate various skills to achieve given tasks intelligently and reasonably. The robot must first learn affordances to generate the skills. An affordance is defined as qualities of objects or environments that induce actions. Affordances can be usefully used to generate skills. Most tasks require sequential and goal-oriented behaviors. However, it is usually difficult to accomplish such tasks with affordances alone. To accomplish such tasks, a skill is constructed with an affordance and a soft behavioral motivation switch for reflecting goal-oriented elements. A skill calculates a behavioral motivation as a combination of both presently perceived information and goal-oriented elements. Here, a behavioral motivation is the internal condition that activates a goal-oriented behavior. In addition, a robot must be able to execute sequential behaviors. We construct skill networks by using generated skills that make action selection feasible to accomplish a task. A robot can select sequential and a goal-oriented behaviors using the skill network. For this, we will first propose a method for modeling and learning Bayesian networks that are used to generate affordances. To select sequential and goal-oriented behaviors, we construct skills using affordances and soft behavioral motivation switches. We also propose a method to generate the skill networks using the skills to execute given tasks. Finally, we will propose action-selection-mechanism to select sequential and goal-oriented behaviors using the skill network. To demonstrate the validity of our proposed methods, "Searching-for-a-target-object", "Approaching-a-target-object", "Sniffing-a-target-object", and "Kicking-a-target-object" affordances have been learned with GENIBO (pet robot) based on the human teaching method. Some experiments have also been performed with GENIBO using the skills and the skill networks.

• Journal of the Korean Chemical Society
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• v.54 no.6
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• pp.809-817
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• 2010

The primary purpose of this study was to investigate high school students' conceptual understanding of density for solids and liquids in pure and mixed substances who had preceded formal school science instruction on density and related topics. A concept assessment on density was developed and administered by demonstrative experiments accompanied by a written assessment test method to 120 general high school students in a metropolitan city. The scientific conceptions and alternative conceptions from students' responses were identified and the percentages of them were calculated. Then, their alternative conceptions and implicit theories on density were analyzed. About half of the students couldn't differentiate weight-volume-density and regarded density as an innate property of matter. Furthermore, the greater the number of variables involved in an experimental condition of the question, the more complicated and undifferentiated students' density concepts were. Students employed more improper variables such as particle size, intermolecular distance, surface tension, polarity of the solvent, etc. in explaining counter-intuitive observations. The implications for school science instruction were discussed.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.63-71
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• 2014

We analyze the execution time of Reed-Solomon coding, which is the MAC-layer forward error correction scheme used in CDMA2000 1xEV-DO broadcast services, under different air channel conditions. The results show that the time constraints of MPEG-4 cannot be guaranteed by Reed-Solomon decoding when the packet loss rate (PLR) is high, due to its long computation time on current hardware. To alleviate this problem, we propose three error control schemes. Our static scheme bypasses Reed-Solomon decoding at the mobile node to satisfy the MPEG-4 time constraint when the PLR exceeds a given boundary. Second, dynamic scheme corrects errors in a best-effort manner within the time constraint, instead of giving up altogether when the PLR is high; this achieves a further quality improvement. The third, video-aware dynamic scheme fixes errors in a similar way to the dynamic scheme, but in a priority-driven manner which makes the video appear smoother. Extensive simulation results show the effectiveness of our schemes compared to the original FEC scheme.

• Korean Journal of Ecology and Environment
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• v.49 no.3
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• pp.208-214
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• 2016

We analyzed research trend and public perception related with tap water to identify major factors affecting low consumption of tap water. 805 research articles were collected for text mining analysis and 1,000 on-line questionnaires were surveyed to find social variables influencing tap water intake. Based on the word network analysis, research topics were divided into 4 major categories, 1) drinking water quality, 2) water fluoridation, 3) residual chlorine, and 4) micro-organism management. Compared with these major research topics, scientific studies of drinking behavior, or social perception were rather limited. 22.4% of total respondents used tap water as drinking water source, and only 1% drank tap water without further treatments (i.e. boiling, filtering). Experience of quality control report (B=0.392, p=0.046) and level of policy trust (B=1.002, p<0.0001) were influential factors on tap water drinking behavior. Age (B=0.020, p=0.002) and gender (B= - 1.843, p<0.0001) also showed significant difference. To increase the frequency of drinking the tap water by social members, the more scientific information of tap water quality and the water policy management should be clearly shared with social members.

• Journal of Environmental Impact Assessment
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• v.27 no.4
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• pp.378-393
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• 2018

As atmospheric fine dust problems in Korea become more serious, there are growing needs to find the concentration of fine particles in indoor and outdoor areas and there are increasing demands for sensor-based portable monitoring devices capable of measuring fine dust concentrations instantly. The low-cost portable monitoring devices have been widely manufactured and used without the prescribed certification standards which would cause unnecessary confusion to the concerned public. To evaluate the reliability those devices and to improve their usability, following studies were conducted in this work; 1) The comparisons between sensor-based devices and comparison with more accurate devices were performed. 2) Several experiments were conducted to understand usefulness of the portable monitoring devices. As results, the absolute concentration levels need to be adjusted due to insensitivity of the tiny light scattering sensors in the portable devices, but their linearity and reproducibility seem to be acceptable. By using those monitoring devices, users are expected to have benefits of recognizing the changes of concentration more quickly and could help preventing themselves from the adverse health impacts.

• Journal of the Korean Society of Radiology
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• v.11 no.7
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• pp.605-610
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• 2017

Unlike adults, cognitive ability and communication are not accurate in pediatric patients. Therefore movement due to psychological anxiety in X-ray photography is one of the factors that increase repeated irradiation. In order to minimize the rejection of X-ray and to improve the satisfaction of medical service, it is necessary to improve the environment of the radiological room to help psychological stability and to find a positive measure for reduction of radiation dose, including unnecessary. The subjects of this study were 186 pediatric patients from May to July, 2017, who were from 6 months to 36 months, The study group was set up a radiological room without auditory and visual environment changes is A group, except for changes in visual environment, the room where only auditory environmental changes were applied was group B, the auditory environment changes were excluded, and the room where only the visual environment change was applied was divided into group C, the auditory and visual environment changes were applied to the D. In group A, 10 retrospectives were obtained, 7 in group B, 5 in group C, and 2 in group D. Especially in group A and group D, statistically significant at p <0.053 In conclusion, hearing and visual environment changes affected the psychological stability of pediatric patient, and the repeated irradiation was reduced, thus improving the quality of medical services.

• The Korean Journal of Food And Nutrition
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• v.10 no.2
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• pp.246-253
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• 1997

This study was conducted to investigate the effect of protein kinds and levels on lipid metabolism in hypercholesterolemia rats. Male Sprague Dawley rats were administrated 1% cholesterol and 0.25% sodium cholate to induce hypercholesterolemia and were fed on diet containing two levels(7, 20%) of casein and soy protein respectively. The rats were sacrified after 5 weeks of feeding periods. Total lipid content in serum was decreased in proportion to level of protein and soy protein was more effective than casein in lipid-lowering effect. Serum triglyceride content was significantly decreased in proportion to level of protein and did not show significance by protein kind. Serum phospholipid content was more significantly decreased in 20% protein groups than that of 7% protein groups. Total cholesterol content in serum was significantly decreased by protein and were decreased in proportion to level of soy protein. Free cholesterol content did not show significance by protein level. The degree of decrease predominated in soy protein groups. Serum HDL-cholesterol content and RL-cholesterol were increased in proportion to level of protein and effect of soy protein was not more significantly than that of casein. Atherogenic index was significantly decreased in proportion to level of protein and soy protein groups were more effective. Serum LDL-, VLDL-cholesterol contents were more significantly decreased in 20% protein groups than that of 7% protein groups. Serum $\beta$-lipoprotein and chylomicrone-cholesterol contents also showed significantly decrease by soy protein.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.115-122
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• 2016

This paper proposes a system to detect driver's cognitive state by internal and external information of vehicle. The proposed system can measure driver's eye gaze. This is done by concept of information delivery and mutual information measure. For this study, we set up two web-cameras at vehicles to obtain visual information of the driver and front of the vehicle. We propose Gestalt principle based selective attention model to define information quantity of road scene. The saliency map based on gestalt principle is prominently represented by stimulus such as traffic signals. The proposed system assumes driver's cognitive resource allocation on the front scene by gaze analysis and head pose direction information. Then we use several feature algorithms for detecting driver's characteristics in real time. Modified census transform (MCT) based Adaboost is used to detect driver's face and its component whereas POSIT algorithms are used for eye detection and 3D head pose estimation. Experimental results show that the proposed system works well in real environment and confirm its usability.

• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.304-322
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• 2010

The purpose of this study is to explore the effects of student-centered instruction using analogies for middle school students' learning of the photosynthesis concept. Participants in this study were 8th grade students at a middle school in Seoul (N=132). The students were divided into two groups for implementation. In the experimental group the teaching materials containing analogies were used while the contents of a science textbook were taught in the control group. The results of this study indicated that student-centered instruction using analogies was more effective than traditional methods of instruction for understanding photosynthesis concepts and the students' attitude toward the science class. Analogies were also found to contribute to developing an understanding of the photosynthesis concept through activating students' prior knowledge, focusing on structural features of the target concept and elaborating knowledge. In addition, analogies play an important role in activating small group discussions, improving students' meta-cognitive skills, and revealing and revising of misconceptions about photosynthesis. Moreover, analogies can help improve students' interests and self-efficiency in science classes.