• Investigative Magnetic Resonance Imaging
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• v.9 no.1
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• pp.9-15
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• 2005

Purpose : This study attempted to investigate the effects of supply of highly concentrated $(30\%)$ oxygen on human ability of visuospatial cognition using time course data analysis of functional Magnetic Resonance Imaging (fMRI). Materials and Methods : To select an item set in the visuospatial performance test, two questionnaires with similar difficulty were developed through group testing. A group test was administered to 263 college students. Two types of questionnaire containing 20 questions were developed to measure the ability of visuospatial cognition. Eight college students (right-handed male, average age of 23.5 yrs) were examined for fMRI study. The experiment consisted of two runs of the visuospatial cognition testing, one with $21\%$ level of oxygen and the other with $30\%$ oxygen level. Each run consisted of 4 blocks, each containing control and visuospatial items. Functional brain images were taken from 37 MRI using the single-shot EPI method. Using the subtraction procedure, activated areas in the brain during visuospatial tasks were color-coded by t-score. To investigate the time course data in each activated area from brain images, 4 typical regions (cerebellum, occipital lobe, parietal lobe, and frontal lobe) were selected. Results : The average accuracy was $50.63{\pm}8.63$ and $62.50{\pm}9.64$ for $21\%\;and\;30\%$ oxygen respectively, and a statistically significant difference was found in the accuracy between the two types of oxygen (p<0.05). There were more activation areas observed at the cerebellum, occipital lobe, parietal lobe and frontal lobe with $30\%$ oxygen administration. The rate of increase in the cerebellum, occipital lobe and parietal lobe was $17\%$ and that of the frontal lobe, $50\%$. Especially, there were increase of intensity of BOLD signal at the parietal lobe with $30\%$ oxygen administration. The increase rate of the left parietal lobe was $1.4\%$ and that of the right parietal lobe, $1.7\%$. Conclusion : It is concluded that while performing visuospatial tasks, high concentrations of oxygen administration make oxygen administration sufficient, thus making neural network activate more, and the ability to perform visuospatial tasks increase.

• Journal of the Korean Society of Radiology
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• v.16 no.2
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• pp.77-85
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• 2022

The purpose of this study was to investigate the status of infection control of angiography room workers through a survey, and to find out their awareness and performance. A survey was conducted from January 3 to February 28, 2022 on 126 workers working in angiography room of 10 hospitals at or above general hospital level located in Busan City. The questionnaire consists of 10 general characteristics of the subject and 56 items in total, divided into 4 main items of infection control in an angiography room: infection control system in a medical institution, personal hygiene, angiography room environment, and angiography room equipment. was measured on a Likert 5-point scale. Data analysis was performed statistically using SPSS for WindowTM release 25.0. t-test and one-way ANOVA were used to analyze the awareness and performance of each domain according to general characteristics, and Pearson correlation analysis was performed for the relationship between variables. As a result, the awareness level was higher than the performance level in all areas, indicating that the performance level was lower than the awareness level. In addition, awareness and performance showed a positive correlation, suggesting that the degree of awareness of workers is an important variable in infection control that has a significant effect on performance. Therefore, for effective and systematic infection control, workers in angiography room must improve the performance of infection control. In order to do that, infection control education is needed, and it is judged that infection control guidelines for angiography room should be systematized in the future.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.311-320
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• 2007

This paper presents vision-based 3D facial expression animation technique and system which provide the robust 3D head pose estimation and real-time facial expression control. Many researches of 3D face animation have been done for the facial expression control itself rather than focusing on 3D head motion tracking. However, the head motion tracking is one of critical issues to be solved for developing realistic facial animation. In this research, we developed an integrated animation system that includes 3D head motion tracking and facial expression control at the same time. The proposed system consists of three major phases: face detection, 3D head motion tracking, and facial expression control. For face detection, with the non-parametric HT skin color model and template matching, we can detect the facial region efficiently from video frame. For 3D head motion tracking, we exploit the cylindrical head model that is projected to the initial head motion template. Given an initial reference template of the face image and the corresponding head motion, the cylindrical head model is created and the foil head motion is traced based on the optical flow method. For the facial expression cloning we utilize the feature-based method, The major facial feature points are detected by the geometry of information of the face with template matching and traced by optical flow. Since the locations of varying feature points are composed of head motion and facial expression information, the animation parameters which describe the variation of the facial features are acquired from geometrically transformed frontal head pose image. Finally, the facial expression cloning is done by two fitting process. The control points of the 3D model are varied applying the animation parameters to the face model, and the non-feature points around the control points are changed by use of Radial Basis Function(RBF). From the experiment, we can prove that the developed vision-based animation system can create realistic facial animation with robust head pose estimation and facial variation from input video image.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.53-65
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• 2019

Object tracking is one of important steps to achieve video-based surveillance systems. Object tracking is considered as an essential task similar to object detection and recognition. In order to perform object tracking, various machine learning methods (e.g., least-squares, perceptron and support vector machine) can be applied for different designs of tracking systems. In general, generative methods (e.g., principal component analysis) were utilized due to its simplicity and effectiveness. However, the generative methods were only focused on modeling the target object. Due to this limitation, discriminative methods (e.g., binary classification) were adopted to distinguish the target object and the background. Among the machine learning methods for binary classification, total error rate minimization can be used as one of successful machine learning methods for binary classification. The total error rate minimization can achieve a global minimum due to a quadratic approximation to a step function while other methods (e.g., support vector machine) seek local minima using nonlinear functions (e.g., hinge loss function). Due to this quadratic approximation, the total error rate minimization could obtain appropriate properties in solving optimization problems for binary classification. However, this total error rate minimization was based on a batch mode setting. The batch mode setting can be limited to several applications under offline learning. Due to limited computing resources, offline learning could not handle large scale data sets. Compared to offline learning, online learning can update its solution without storing all training samples in learning process. Due to increment of large scale data sets, online learning becomes one of essential properties for various applications. Since object tracking needs to handle data samples in real time, online learning based total error rate minimization methods are necessary to efficiently address object tracking problems. Due to the need of the online learning, an online learning based total error rate minimization method was developed. However, an approximately reweighted technique was developed. Although the approximation technique is utilized, this online version of the total error rate minimization could achieve good performances in biometric applications. However, this method is assumed that the total error rate minimization can be asymptotically achieved when only the number of training samples is infinite. Although there is the assumption to achieve the total error rate minimization, the approximation issue can continuously accumulate learning errors according to increment of training samples. Due to this reason, the approximated online learning solution can then lead a wrong solution. The wrong solution can make significant errors when it is applied to surveillance systems. In this paper, we propose an exactly reweighted technique to recursively update the solution of the total error rate minimization in online learning manner. Compared to the approximately reweighted online total error rate minimization, an exactly reweighted online total error rate minimization is achieved. The proposed exact online learning method based on the total error rate minimization is then applied to object tracking problems. In our object tracking system, particle filtering is adopted. In particle filtering, our observation model is consisted of both generative and discriminative methods to leverage the advantages between generative and discriminative properties. In our experiments, our proposed object tracking system achieves promising performances on 8 public video sequences over competing object tracking systems. The paired t-test is also reported to evaluate its quality of the results. Our proposed online learning method can be extended under the deep learning architecture which can cover the shallow and deep networks. Moreover, online learning methods, that need the exact reweighting process, can use our proposed reweighting technique. In addition to object tracking, the proposed online learning method can be easily applied to object detection and recognition. Therefore, our proposed methods can contribute to online learning community and object tracking, detection and recognition communities.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.

• Proceedings of the Korean Society of Toxicology Conference
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• 2002.05b
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• pp.106.2-132
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• 2002

형질전환 (유전자 결핍; Knockout) Min 마우스를 이용하여 대장암 발생에서 배추, 양배추 주성분인 indole-3-carbinol (I3C)의 대장암 예방효과를 규명하고자 하였다. 실험동물로는 C57BL/6J-Apc$^{min/+}$(Min 마우스)계의 5내지 6주령의 수컷 이형접합체 형질전환 마우스 70마리와 C57BL/6J계의 동일 산자, 동일 주령의 수컷 wildtype 비형질전환 마우스 10kfl를 The Jackson Laboratory 사 (Bar harber, ME, USA)로부터 직접 구입하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 (Min)마우스 70마리를 각 군 20내지 25마리씩 세군으로 나누었다. Group 1에는 20마리, Group 2에는 25마리, Group 3에는 25마리를 배치하고, I3C 투여 실험군 (Group 1과 2)에는 실험시작시에 AIN-76A 분말사료에 I3C가 각각 100 및 300ppm이 함유되도록 조제하여 공급하였다. 그리고 실험군(Group 3)에는 실험시작부터 종료시까지 AIN-76A 정제고형사료(Teklad사, WI, USA)를 자유로이 급이하였다. 각군간의 체중, 사료 및 음수소비량을 매 2주마다 측정하였고, 10주간 (16주령)의 실험종료시에는 최종체중과 간장, 신장, 비장 등의 장기무게를 측정하여 상대장기 무게비를 산출하였다. 대조군으로서 C57BL/6J계의 동일 산자, 동일 주령의 수컷 wildtype 비형질전환 마우스 10마리는 같은 조건의 사육실에서 AIN-76A 정제고형사료를 33주간 자유로이 급이하였다. 실험동물은 부검전에 하룻밤 동안 절식하고 이산화탄소 흡입 마취하에서 흉대동맥을 절단하여 방혈하고 각 장기(심장, 폐, 위)를 적출하여 생리심염수에 넣어 장기무게를 측정하고 포르말린에 고정하였다. 소장과 대장의 검사를 위하여 위의 식도부위와 직장을 실로 결찰하여 적출하고 생리심염수를 주입하여 팽창시켜, 십이지장, 공장, 및 회장, 그리고 대장으로 나누어 여과지에 펼친 후 포르말린에 고정하였다. 소장과 대장은 육안 및 자동 영상분석길ㄹ 이용한 분석이 끝난 후에 각 부위별로 4-6개의 절편을 작제하여 포르말린에 재고정하고, 통상적인 조직처리과정, 파리핀 포매 및 3-4$\mu$m 두께의 조직절편을 제작하여 H&E 염색을 실시하여 현미경으로 검경하였다. 약 1주일간의 포르말린 고정이 끝난 소장 및 대장을 부위별, 별 종양개수 및 분포를 자동영상분석기(Kontron Co. Ltd., Germany)로 분석하였다. 체의 변화, 장기무게, 사료소비량 및 마리당 종양의 개수에 대한 통계학적 유의성 검증을 위하여 Duncan's t-test로 통계처리 하였고, 종양 발생빈도에 대하여는 Likelihood ration Chi-square test로 유의성을 검증하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군의 대장선종의 발생률은 84%(Group 3; 21/25례)로써 I3C 100ppm 및 300ppm을 투여한 경우에 있어서는 각군 모두 60%(Group 1; 12/20 례, Group 2; 15/25 례)로 감소하는 경향을 나타내었다. 대장선종의 마리당 발생개수에 있어서는 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군은 1.40$\pm$0.24(100%)에 비하여 I3C 저농도 투여 실험군(Group 1; 0.85$\pm$0.23; 61%, P<0.01), 그리고 I3C 고농도 투여 실험군(Group 2 ; 1.32$\pm$0.29 ; 94%)의 순으로 감소하였다. 선종의 크기별 종양의 발생개수의 분포에 있어서 I3C 저농도 투여 실험군에 있어서는 선종의 크기가 3mm이하의 수가 현저하게 감소하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군의 부위별 소장선종의 발생수는 십이지장부위를 제외하고 각 군에서 유의한 변화는 관찰되지 않았다. 십이지장 종양의 발생개수에서만 I3C 저농도 투여 실험군(Group 1 ; 3.11$\pm$0.85)이 대조군 (Group 3: 1.48$\pm$0.35) 및 I3C 고농도 투여 실험군(Group 2: 1.56$\pm$0.47)에 비하여 유의성 있게 증가하였다. (P<0.05). 따라서 I3C은 소장에서는 암예방 효과가 뚜렷하지 않으나, 대장에 대한 암에방 효과가 있을 것으로 생각된다. 소장 및 대장을 제외한 간장, 신장, 비장, 심장, 폐 그리고 위 등의 기타 장기에서의 조직병리학적 변화는 관찰되지 않았다. 소장 및 대장의 종양은 선종(polyps)으로 관찰되었다. 지난 10여년간 형질전환 및 유전자 결핍 실험동물의 종류가 기하 급수적으로 증가하여 이용되고 있다. 가족성 대장 선종성 용종증(FAP)의 대표적인 모델로 이용되고 있는 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스를 사용하여 배추나 양배추의 주요성분인 Indole-3-carbinol(I3C)의 대장암 예방효과가 있는지를 검색하여 본 결과 AIN-76A정제사료만을 투여한 대조군의 대장선종의 발생률 84%에 비하여 I3C 100 및 300ppm을 투여한 실험군에 있어서 각군 모두 60%로서 감소하는 경향을 나타내었으며, 대장선종의 마리당 발생개수에 있어서는 대조군의 1.40$\pm$1.041를 100%로 환산하였을 경우 I3C 저농도 및 고농도 투여 실험군에서는 각각 약 61%와 94%를 나타내여 감소하였다. 특히 대장선종의 크기별 분포에 있어서 선종의 크기가 3mm이하의 수가 현저하게 감소하였다. 따라서 저농도 I3C의 투여는 실험적 유전성 가족성 대장 선종성 용종증 모델에 있어서 어느정도 암 예방효과가 있는 것으로 생각된다. 그러나 소장 선종의 발생에는 별 영향이 없는 것으로 생각된다. 그러나 본 실험에 사용된 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스는 실험개시 시점이 7내지 8주령이 경과하여 이미 태생기부터 소장 및 대장의 선종 발생이 진행되어 온 것을 감안하고 특히 비스테로이드계 항염증 소염제(NSAIDS)와 같은 강력한 COX-2억제제가 아님을 고려하면, 상당한 선종의 발생을 억제할 수 있는 가능성이 매우 높다고 생각한다. 또한 이제까지 배추나 양배추 성분의 복합성분들에 대한 실험적 대장암 모델에서의 촉진효과 등에 대한 보고들이 있어 온 점을 고려할 때 위암(Kim 등, 1994) 간암(Kim 등, 1994), 유방암(Grubbs, 등, 1995; Bradlow 등, 1995)에 대한 예방효과가 있을 것으로 생각된다. 앞으로 이러한 종양조직내에서의 COX-2 및 iNOS mRNA와 단백질의 발현정도를 분자병리학적으로 연구중에 있으며, 향후 십자화과식물 성분인 indole-3-carbinol이 마우스뿐 만 아니라 랫드의 화학발암물질에 의한 대장종양에 대한 억제효과 있는지 연구 필요가 있다. Min 마우스와 같은 형질 전환(유전자결핍;knockout) 실험동물을 이용한 새로운 중기 발암성 시험범의 확립을 통한 각종 환경 유해물질의 발암성 유무 및 COX-2 억제작용이 있는 식품인자의 암예방 후보물질을 체계적으로 검색하는데 유용하게 활용될 수 있을 것으로 생각한다.

• The Korean Journal of Nuclear Medicine
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• v.38 no.4
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• pp.325-329
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• 2004

Purpose: Usefulness of mouse liver S9 fraction was evaluated for the measurement of the metabolites in the in vitro metabolism study of $^{18}F$-labeled radiotracers. Materials and Methods: Mouse liver S9 fraction was isolated at au early step in the course of microsome preparation. The in vitro metabolism studies were tarried out by incubating a mixture containing the radiotracer, S9 fraction and NADPH at $37^{\ciirc}C$, and an aliquot of the mixture was analyzed at the indicated time points by radio-TLC. Metabolic defluorination was further confirmed by the incubation with calcium phosphate, a bone mimic. Results: The radiotracer $[^{18}F]1$ underwent metabolic defluorination within 15 min, which was consistent with the results of the in vivo method and the in vitro method using microsome. Radiotracer $[^{18}F]2$ was metabolized to three metabolites including $4-[^{18}F]fluorobenzoic$ acid within 60 min. It is likely that the one of these metabolites at the origin of radio-TLC was identical with the one that obtained from the in vivo and in vitro (microsome) method. Compared with the in vitro method using microsome, the method using S9 fraction gave a similar pattern of the metabolites but with a different ratio, which can be explained by the presence of cytosol in the S9 fraction. Conclusion: These results suggest that the findings of the in vitro metabolism studies using S9 fraction can reflect the in vivo metabolism of novel radiotracers in the liver. Moreover, this method can be used as a tool to determine metabolic defluorination along with calcium phosphate absorption method.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.45-58
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• 2014

The Korean Culture Contents spread out to Worldwide, because the Korean wave is sweeping in the world. The contents stand in the middle of the Korean wave that we are used it. Each country is ongoing to keep their Culture industry improve the national brand and High added value. Performing contents is important factor of arousal in the enterprise industry. To improve high arousal confidence of product and positive attitude by populace is one of important factor by advertiser. Culture contents is the same situation. If culture contents have trusted by everyone, they will give information their around to spread word-of-mouth. So, many researcher study to measure for person's arousal analysis by statistical survey, physiological response, body movement and facial expression. First, Statistical survey has a problem that it is not possible to measure each person's arousal real time and we cannot get good survey result after they watched contents. Second, physiological response should be checked with surround because experimenter sets sensors up their chair or space by each of them. Additionally it is difficult to handle provided amount of information with real time from their sensor. Third, body movement is easy to get their movement from camera but it difficult to set up experimental condition, to measure their body language and to get the meaning. Lastly, many researcher study facial expression. They measures facial expression, eye tracking and face posed. Most of previous studies about arousal and interest are mostly limited to reaction of just one person and they have problems with application multi audiences. They have a particular method, for example they need room light surround, but set limits only one person and special environment condition in the laboratory. Also, we need to measure arousal in the contents, but is difficult to define also it is not easy to collect reaction by audiences immediately. Many audience in the theater watch performance. We suggest the system to measure multi-audience's reaction with real-time during performance. We use difference image analysis method for multi-audience but it weaks a dark field. To overcome dark environment during recoding IR camera can get the photo from dark area. In addition we present Multi-Audience Engagement Index (MAEI) to calculate algorithm which sources from sound, audience' movement and eye tracking value. Algorithm calculates audience arousal from the mobile survey, sound value, audience' reaction and audience eye's tracking. It improves accuracy of Multi-Audience Engagement Index, we compare Multi-Audience Engagement Index with mobile survey. And then it send the result to reporting system and proposal an interested persons. Mobile surveys are easy, fast, and visitors' discomfort can be minimized. Also additional information can be provided mobile advantage. Mobile application to communicate with the database, real-time information on visitors' attitudes focused on the content stored. Database can provide different survey every time based on provided information. The example shown in the survey are as follows: Impressive scene, Satisfied, Touched, Interested, Didn't pay attention and so on. The suggested system is combine as 3 parts. The system consist of three parts, External Device, Server and Internal Device. External Device can record multi-Audience in the dark field with IR camera and sound signal. Also we use survey with mobile application and send the data to ERD Server DB. The Server part's contain contents' data, such as each scene's weights value, group audience weights index, camera control program, algorithm and calculate Multi-Audience Engagement Index. Internal Device presents Multi-Audience Engagement Index with Web UI, print and display field monitor. Our system is test-operated by the Mogencelab in the DMC display exhibition hall which is located in the Sangam Dong, Mapo Gu, Seoul. We have still gotten from visitor daily. If we find this system audience arousal factor with this will be very useful to create contents.

• Journal of Science Education
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• v.33 no.2
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• pp.336-345
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• 2009

The purpose of this study is to analysis ERF components patterns of causal questions generated during the observation of biological phenomenon. First, the system that shows pictures causing causal questions based on biological phenomenon (evoked picture system) was developed in a way of cognitive psychology. The ERF patterns of causal questions based on time-series brain processing was observed using MEG. The evoked picture system was developed by R&D method consisting of scientific education experts and researchers. Tasks were classified into animal (A), microbe (M), and plant (P) tasks according to biological species and into interaction (I), all (A), and part (P) based on the interaction between different species. According to the collaboration with MEG team in the hospital of Seoul National University, the paradigm of MEG task was developed. MEG data about the generation of scientific questions in 5 female graduate student were collected. For examining the unique characteristic of causal question, MEG ERF components were analyzed. As a result, total 100 pictures were produced by evoked picture and 4 ERF components, M1(100~130ms), M2(220~280ms), M3(320~390ms), M4(460~520ms). The present study could guide personalized teaching-learning method through the application and development of scientific question learning program.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.4
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• pp.224-236
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• 2002

A long-term growth simulation was performed at 496 land units in the western coastal plains (WCP) of North Korea to test the potential adaptability of each land unit for growing South Korean rice cultivars. The land units for rice cultivation (CZU), each of them represented by a geographically referenced 5 by 5 km grid tell, were identified by analyzing satellite remote sensing data. Surfaces of monthly climatic normals for daily maximum and minimum temperature, precipitation number of rain days and solar radiation were generated at a 1 by 1 km interval by spatial statistical methods using observed data at 51 synoptic weather stations in North and South Korea during 1981-2000. Grid cells felling within a same CZU and, at the same time, corresponding to the satellite data- identified rice growing pixels were extracted and aggregated to make a spatially explicit climatic normals relevant to the rice growing area of the CZU. Daily weather dataset for 30 years was randomly generated from the monthly climatic normals of each CZU. Growth and development parameters of CERES-rice model suitable for 11 major South Korean cultivars were derived from long-term field observations. Eight treatments comprised of 2 transplanting dates $\times$ 2 cropping systems $\times$ 2 irrigation methods were assigned to each cultivar. Each treatment was simulated with the randomly generated 30 years' daily weather data (from planting to physiological maturity) for 496 land units in WCP to simulate the growth and yield responses to the interannual climate variation. The same model was run with the input data from the 3 major crop experiment stations in South Korea to obtain a 30 year normal performance of each cultivar, which was used as a "reference" for comparison. Results were analyzed with respect to spatial and temporal variation in yield and maturity, and used to evaluate the suitability of each land unit for growing a specific South Korean cultivar. The results may be utilized as decision aids for agrotechnology transfer to North Korea, for example, germplasm evaluation, resource allocation and crop calendar preparation.