• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.305-316
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• 2013

To find out if modern roundabout is still effective under drivers behavior and driving conditions in Busan Metropolitan City, the effects before and after introduction of roundabout were analyzed. According to analysis on velocity profile at roundabout, velocity deviation decreased, and average vehicle speed was close to design speed. As a result, it has been confirmed that most roundabouts were properly built. In terms of traffic operation, average vehicle speed improved by 87.2% when a traffic intersection was replaced by a roundabout. therefore, it has been found out that the introduction of roundabout has a positive effect on increasing vehicle speed by reducing traffic congestion. In addition, annual benefits expected from the replacement from a traffic intersection to a roundabout were KRW 872 million as follows; KRW 410 million in traffic communication, KRW 39 million in transportation safety, KRW 255 million in energy saving, KRW 95 million in reduction of air pollution and KRW 73 million in reduction of traffic signal installation cost. In other words, if 10% (193 spots) of all traffic intersections (1,926 spots in total) in Busan City are replaced by roundabouts, the municipal authority would be able to save about KRW 168.3 billion. According to analysis on the benefits expected from the installation of roundabouts compared to the investment cost for traffic intersections, about KRW 679 million could be saved per roundabout. Considering 10% of all traffic intersections in the City of Busan, about KRW 131 billion could be saved annually. The traffic accidents in roundabout usually occur because drivers aren't aware of right-of-way rules. Once the right-of-way rules settle, the number of traffic accidents would significantly decrease. In addition, it is urgent to promote education and campaign for drivers, pedestrians and bikers on the roundabout.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.8
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• pp.253-263
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• 2013

Frequency Scanning Interferometry(FSI) system, one of the most promising optical surface measurement techniques, generally results in superior optical performance comparing with other 3-dimensional measuring methods as its hardware structure is fixed in operation and only the light frequency is scanned in a specific spectral band without vertical scanning of the target surface or the objective lens. FSI system collects a set of images of interference fringe by changing the frequency of light source. After that, it transforms intensity data of acquired image into frequency information, and calculates the height profile of target objects with the help of frequency analysis based on Fast Fourier Transform(FFT). However, it still suffers from optical noise on target surfaces and relatively long processing time due to the number of images acquired in frequency scanning phase. 1) a Polarization-based Frequency Scanning Interferometry(PFSI) is proposed for optical noise robustness. It consists of tunable laser for light source, ${\lambda}/4$ plate in front of reference mirror, ${\lambda}/4$ plate in front of target object, polarizing beam splitter, polarizer in front of image sensor, polarizer in front of the fiber coupled light source, ${\lambda}/2$ plate between PBS and polarizer of the light source. Using the proposed system, we can solve the problem of fringe image with low contrast by using polarization technique. Also, we can control light distribution of object beam and reference beam. 2) the signal processing acceleration method is proposed for PFSI, based on parallel processing architecture, which consists of parallel processing hardware and software such as Graphic Processing Unit(GPU) and Compute Unified Device Architecture(CUDA). As a result, the processing time reaches into tact time level of real-time processing. Finally, the proposed system is evaluated in terms of accuracy and processing speed through a series of experiment and the obtained results show the effectiveness of the proposed system and method.

• Korean Journal of Acupuncture
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• v.24 no.2
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• pp.129-139
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• 2007

목적 : Signal transducers and activators of transcription 6 (Stat 6) 유전자는 면역세포의 발달에 있어서 중요한 유전인자이며, IL-4와 같은 사이토카인에 의해 유전자 발현이 조절된다. 본 연구에서는 Stat 6 유전자 제거 생쥐와 정상 (wild type, W/T) 생쥐에 carrageenan으로 염증을 유도한 후 족삼리에 침치료를 시행하여 시상하부에서의 유전자 발현 양상을 분석하고자 하였다. 방 법 : BALB/c (W/T, n=12) and BALB/c-Stat 6 유전자 제거 생쥐 (n=12)의 발뒤꿈치 표피에 1% carrageenan을 30 ul 주사하여 염증을 유도하였다. 침은 염증 유도 30분 후에 족삼리(ST36)에 시침하였으며, 염증유도에 의한 부종 증가율을 매 시간마다 측정하여 총 5시간동안 측정하였다. 마이크로에러이는 Stat 6 유전자 제거 생쥐를 염증 유발 군과 염증유발 후 침을 처치한 군으로 나누고, 시상하부를 적출하여 RNA를 분리한뒤 마이크로어레이 프로파일을 분석하였다. 결 과 : 염증에 의한 부종증가율을 비교한 결과, Stat 6 유전자 제거 생쥐 그룹의 부종증가율이 W/T 생쥐의 부종 증가율보다 약 50 % 정도 감소하였으며, 각 3, 4, 5시간째에 유의한 차이를 나타내었다. (각 p<0.05). W.T생쥐군과 Stat 6 유전자 제거 생쥐군 모두에서, 침 처치군이 염증 유발 군에 비해, 염증 유발 2시간 후부터 유의한 감소를 나타내었다. 시상하부의 유전자 발현을 관찰한 결과, 39개의 유전자가 3배 이상 감소하였으며, 19개의 유전자는 3배 이상 증가하였다. 결 론 : W/T 생쥐군과 Stat 6 유전자 제거 생쥐 모두에서 침의 진통효과는 나타나며, 이의 기전에는 시상하부에서의 침 치료에 의한 염증관련 유전자들의 감소와, 항염증과 관련된 유전자들이 증가가 관여하는 것으로 보인다., 10, 11), 내측전완피신경(TE5, 6, 7, 8, 9, 10, 11), 후상완피신경(TE12, 13), 상외측상완피신경(TE13), 외측쇄골상신경(TE14, 15),대이개신경(TE16, 17, 18, 19), 소후두신경(TE19, 20), 이개측두신경(TE20, 21, 22), 안면신경측두지(TE22, 23), 관골측두신경(TE23), 중층에 견갑상신경(TE15), 견갑배신경(TE15), 경상설골근신경(TE17), 후이개신경(TE18, 19, 20), 안면신경측두지(TE20, 21, 22), 심층에 후골간신경(TE5, 6, 7), 요골신경심지(TE8, 9, 12, 13), 견갑상신경(TE14), 액와신경가지(TE14), 부신경(TE16), 안면신경과 부신경가지(TE17), 설인신경(TE17), 설하신경(TE17), 경신경고리(TE17), 미주신경(TE17), 안면신경 (TE18). 3) 혈(血) 관(管) : 천층에 척측정맥배측지(TE1, 2), 고유수장지동맥배측지(TE1), 배측중수골동맥배측지(TE2), 배측중수골정맥(TE3), 척측피정맥(TE4, 5, 6, 7, 8, 9, 10, 11), 배측정맥궁(TE4), 부요측피정맥(TE6, 8, 9),요측피정맥(TE10, 11), 후견봉정맥가지(TE13, 14), 후이개동 ${\cdot}$ 정맥(TE16, 17, 18, 19, 20), 전이개동 ${\cdot}$ 정맥(TE20), 천측두동 ${\cdot}$ 정맥(TE22, 23), 중층에 후상완회선동맥(TE14), 견갑배동맥(TE15), 견갑상동맥(TE15),천측두동 ${\cdot}$ 정맥(TE21), 관골측두동 ${\cdot}$ 정맥(TE23), 심층에 배측중수골동맥(TE3), 배측수근동맥궁(TE4), 후골간동맥(TE4, 5, 6, 7, 8, 9), 전골간동맥(TE6, 7, 9)

• Journal of Radiation Protection and Research
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• v.40 no.2
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• pp.79-86
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• 2015

$^3He$ gas has been used for neutron monitors as the neutron converter owing to its advantages such as high sensitivity, good ${\gamma}$-discrimination capability, and long-term stability. However, $^3He$ is becoming more difficult to obtain in last few years due to a global shortage of $^3He$ gas. Accordingly, the cost of a neutron monitor using $^3He$ gas as a neutron converter is becoming more expensive. Demand on a neutron monitor using an alternative neutron conversion material is widely increased. $^{10}B$ has many advantages among various $^3He$ alternative materials, as a neutron converter. In order to develop a neutron converter using $^{10}B$ (actually $B_4C$), we calculated the optimal thickness of a neutron converter with a Monte Carlo simulation using MCNP6. In addition, a neutron converter was fabricated by the Ar sputtering method and the neutron signal detection efficiencies were measured with respect to various thicknesses of fabricated a neutron converter. Also, we developed a 2-dimensional multi-wire proportional chamber (MWPC) for neutron beam profile monitoring using the fabricated a neutron converter, and performed experiments for neutron response of the neutron monitor at the 30 MW research reactor HANARO at the Korea Atomic Energy Research Institute. The 2-dimensional MWPC with boron ($B_4C$) neutron converter was proved to be useful for neutron beam monitoring, and can be applied to other types of neutron imaging.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.1
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• pp.19-26
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• 2017

Surface air temperature ($T_{air}$) is a key variable for the meteorology and climatology, and is a fundamental factor of the terrestrial ecosystem functions. Satellite remote sensing from the Moderate Resolution Imaging Spectroradiometer (MODIS) provides an opportunity to monitor the $T_{air}$. However, the several problems such as frequent cloud cover and mountainous region can result in substantial retrieval error and signal loss in MODIS $T_{air}$. In this study, satellite-based $T_{air}$ was estimated under both clear and cloudy sky conditions in Gangwon Province using Aqua MODIS07 temperature profile product (MYD07_L2) and GCOM-W1 Advanced Microwave Scanning Radiometer 2 (AMSR2) brightness temperature ($T_b$) at 37 GHz frequency, and was compared with the measurements from the Automated Mountain Meteorology Stations (AMOS). The application of ambient temperature lapse rate was performed to improve the retrieval accuracy in mountainous region, which showed the improvement of estimation accuracy approximately 4% of RMSE. A simple pixel-wise regression method combining synergetic information from MYD07_L2 $T_{air}$ and AMSR2 $T_b$ was applied to estimate surface $T_{air}$ for all sky conditions. The $T_{air}$ retrievals showed favorable agreement in comparison with AMOS data (r=0.80, RMSE=7.9K), though the underestimation was appeared in winter season. Substantial $T_{air}$ retrievals were estimated 61.4% (n=2,657) for cloudy sky conditions. The results presented in this study indicate that the satellite remote sensing can produce the surface $T_{air}$ at the complex mountainous region for all sky conditions.