• Journal of Korea Multimedia Society
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• v.11 no.11
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• pp.1501-1514
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial information. The face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by multiple frequency domains for each depth image using the modified fuzzy c-mean algorithm. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. And the second step takes into consideration of the orientated frontal posture to normalize. Multiple contour line areas which have a different shape for each person are extracted by the depth threshold values from the reference point, nose tip. And then, the frequency component extracted from the wavelet subband can be adopted as feature information for the authentication problems. The third step of approach concerns the application of eigenface to reduce the dimension. And the linear discriminant analysis (LDA) method to improve the classification ability between the similar features is adapted. In the last step, the individual classifiers using the modified fuzzy c-mean method based on the K-NN to initialize the membership degree is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) showed the highest recognition rate among the extracted regions, and the proposed classification method achieved 98.3% recognition rate, incase of fuzzy cluster.

• Cartoon and Animation Studies
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• s.16
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• pp.223-243
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• 2009

Computer graphic where the most useful and effective production methods are used for animation or films has expanded into actors' performance beyond object expression, background expression and special effect. Unlike 2D drawing software focusing on user's sense, 3D mainly depends on hardware performance and software functions. Therefore, for 3D users, learning 3D functions is directly related to new expression, and quick learning and effective representation are keys to productivity growth in animation industry. In line with industrial needs, basic 3D animation software training is provided in school. Unfortunately, however, many problems such as lack of professional instructors, time allocation and education environment prevent various 3D animation software from being taught. Moreover, functional use does not live up to industrial rapid trends. In order to improve effects of software functional education in restricted education fields, this research aims to find out what functions of 3D animation software are used in industries, what are those function used for, and how schools provide 3D animation software training.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.227-238
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• 2006

Line density index(LDI) was developed to quantify a densely isothermal line rate as standard index in the ocean environment. Theoretical background on the LDI development process restricting index range 0 to 100 was described. And validation test was done for the LDI application condition that total line length is not greater than 1/10 of unit area. NOAA SST(Sea Surface Temperature) data were used for the experimental application of LDI in the South Sea of Korea. Using GIS, $0.1^{\circ}C$ isothermal lines were linearized as vector data form SST raster data, and unit area were built as polygon data. For the LDI calculation, spatial overlapping(line in polygon) was implemented. To analyze the effect of unit area size for the LDI distribution, two cases of unit area size were designed and descriptive statistics was calculated including performing normality test. The results showed no change of LDI's essential characteristics such as mean and normality except for the range of value, variance and standard deviation. Accordingly, it was found that complex structure of thermal front and even smaller scale of front width than unit area size could influence on the LDI distribution. Also, correlation analysis performed between LDI and difference of temperature(${\Delta}T^{\circ}C$), and horizontal thermal gradient(${\Delta}T^{\circ}C/km$) on the front was obtained from linear regression model. This obtained value was compared with the results from previous researches. Newly developed LDI can be used to compare the thermal front regions changing spatio-temporally in the ocean environment using absolute index value. It is considered to be significant to analyze the relationship between thermal front and marine environment or front and marine organisms in a quantitative approach described in this study.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.237-261
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• 2016

This study analyzed readers' responses of children of families with immigration background on children's literature that describes similar life experiences with the readers, based on Brooks & Browne's Culturally Situated Reader Response Theory. Six children between 10 and 16 met the researcher three times each, and read along four different texts about multiculturalism in Korea. The texts include On the Road Together, a picture book, and three short stories in The Black Egg. Participating children showed various ethnic identities - identity as a Korean; identity as a foreigner; identity between a Korean and a foreigner; identity as a child of a multicultural (bicultural) family. The children empathized with the characters or showed their frustrations against racism portrayed in the texts. The four texts used in this study worked as a mirror that reflects each child's own self, and further allowed the children to contemplate their own identities and speak out about their deepest thoughts and feelings. The children were dissatisfied with the main characters' powerlessness and depressing endings of the stories. They wanted the characters with immigration background to be positive and bright, and expected stories about peaceful relationship between children of families with immigration background and children with non-immigration background.

• International Commerce and Information Review
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• v.19 no.4
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• pp.75-91
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• 2017

Lately, countries around the world have been focusing their efforts on shifting from conventional industries to innovative-technology-based industries, and committing their competencies to growing startups as an important next-generation industry that will lead national competitiveness. However, there are inadequacies in studies and methods that analyze research and development (R&D) investment and startup performance from a technology perspective, which is an innate nature of startups. This study analyzed the correlation between a startup's R&D investment and its performance. More specifically, this study performed a correlation analysis and a panel analysis on startups that reached KRW 100 billion in revenue; these analyses were not applied in previous studies. The following are the findings: first, the R&D investment percentage of startups located in other regions was relatively higher than that of those in the Seoul metropolitan area, and second, when a startup's operating margin and net profit margin were high, its R&D investment percentage tended to go higher. In conclusion, this study identified that R&D performance resulting from R&D investment was a core competency factor in the success of a startup.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.132-142
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• 2014

In this paper, we propose a traffic lights detection method using visual attention and spot-lights detection. To detect traffic lights in city streets at day and night time, the proposed method is used the structural form of a traffic lights such as colors, intensity, shape, textures. In general, traffic lights are installed at a position to increase the visibility of the drivers. The proposed method detects the candidate traffic lights regions using the top-down visual saliency model and spot-lights detect models. The visual saliency and spot-lights regions are positions of its difference from the neighboring locations in multiple features and multiple scales. For detecting traffic lights, by not using a color thresholding method, the proposed method can be applied to urban environments of variety changes in illumination and night times.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.6
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• pp.25-31
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• 2004

In this paper, we introduce kinetic Monte Carlo (kMC) methods for simulating diffusion process in nano-scale device fabrication. At first, we review kMC theory and backgrounds and give a simple point defect diffusion process modeling in thermal annealing after ion (electron) implantation into Si crystalline substrate to help understand kinetic Monte Carlo methods. kMC is a kind of Monte Carlo but can simulate time evolution of diffusion process through Poisson probabilistic process. In kMC diffusion process, instead of. solving differential reaction-diffusion equations via conventional finite difference or element methods, it is based on a series of chemical reaction (between atoms and/or defects) or diffusion events according to event rates of all possible events. Every event has its own event rate and time evolution of semiconductor diffusion process is directly simulated. Those event rates can be derived either directly from molecular dynamics (MD) or first-principles (ab-initio) calculations, or from experimental data.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.4
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• pp.290-298
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• 2018

Herein, an S-band internally-matched power amplifier that shows a power capability of 300 W in a Long Term Evolution(LTE) band 7 is designed and fabricated using a CGHV40320D GaN HEMT from Wolfspeed. Based on the nonlinear model, the optimum source and load impedance are extracted from the source-pull and load-pull simulations at the fundamental and harmonic frequencies, and the harmonic impedance tuning circuits are implemented inside a ceramic package. The internally matched power amplifier, which is fabricated using a thin-film substrate with a high relative permittivity of 40 and an RF35TC PCB substrate, is measured at the pulsed condition with a pulse period of 1 ms and a duty cycle of 10%. The measured results show a maximum output power of 257~323 W, a drain efficiency of 64~71%, and a power gain of 11.5~14.0 dB at 2.62~2.69 GHz. The LTE-based measurement shows a drain efficiency of 42~49% and an ACLR of less than -30 dBc(excluding 2.62 GHz) at an average power of 79 W.

• Journal of Music and Human Behavior
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• v.11 no.2
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• pp.59-80
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• 2014

Helen Lindquist Bonny developed the Bonny Method of Guided Imagery and Music (BMGIM), a music oriented self-exploration of consciousness, with the influence of humanistic and client-centered approaches. BMGIM can help people manage pain, anxiety, relationship issues, depression, and other conditions through self-awareness and self-potential. The purpose of this biographical study was to explore Bonny's early life experiences and their contribution to the humanistic and transpersonal approach to music therapy. The study was organized in chronological order: Bonny's childhood and young adulthood; inspirations that led to development of BMGIM; and research and clinical events that helped solidify the development of BMGIM. An interview with Bonny and a review of the literature supported the significance of these periods. The years between 1972 and 1979 mark the development of the first series of BMGIM music programs, which Bonny said served as the base for many later GIM music programs developed. Bonny's contribution to the field of music therapy includes the provision of strong foundation for music therapy based on Maslow's and Rogerian approach, and the introduction of time-valued music to the music therapy field.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.249-254
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• 2007

A mobile robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. We focus on how to detect a object region well using image processing algorithm because it gives robots the ability of working for human. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Shape information and signature algorithm are used to segment the objects from background regardless of shape changes. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.