• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.39-39
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• 2018

최근 플라즈마 의학이 발달하면서 제트, 펜, 니들, 토치 등의 다양한 형태의 플라즈마 발생기가 개발되었으며 내부의 가스라인으로 가스의 종류, 유속, 조성 등을 조절하여 생물학적 효과를 극대화 할 수 있고 안정적으로 플라즈마 방전상태를 유지할 수 있으나 처리 면적이 좁아 실제 생물학적 시스템 (세포, 조직, 그리고 박테리아) 적용에 있어 한계점이 존재한다. 이러한 한계점을 극복하기 위해서 유전체격벽방전 (Dielectric barrier discharge, DBD) 방식을 이용한 플렉서블 활성종 발생기를 제작하고 생물학적 시스템에 적용하기 위한 방전 특성 평가를 진행하였으며, 간단한 in vitro 모델인 한천 젤을 이용하여 플라즈마 처리에 따른 전달물질의 침투거리를 확인하였다. 플라즈마 방전 시 생성되는 수산화기 [OH], 과산화수소 [$H_2O_2$], 초산소음이온 [$O_2{^-}$], 오존 [$O_3$], 그리고 산화질소 [$NO_x$]와 같은 산소 및 질소 활성종 (Reactive oxygen and nitrogen species, RONS)은 세포벽 또는 세포막의 주요 구성성분인 다당류와 인지질의 과산화 반응을 통해 구조를 변화시키고 생물학적 시스템의 표면의 pH를 낮춘다. 이러한 RONS의 작용은 살균, 소독 뿐만 아니라 약물의 침투를 돕는다. 일반적으로 한천 겔은 농도에 따라 생체 내 뇌 조직과 물리적 특성이 유사하고, 미생물학 기질, 방사선학 연구를 위한 조직모델로 사용되기 때문에 본 연구에서는 3%와 5% 농도의 한천 젤을 사용하여 침투거리를 확인하였다. 한천 젤은 $2.5{\times}2.5{\times}2.5cm^3$의 크기로 준비되었고 대조군으로 염료가 포함된 에멀젼을 0.01 g 도포하고, 실온에서 30분간 보존 후 단면을 잘라 현미경으로 침투거리를 확인하였으며, 실험군으로 플라즈마 전처리 후 에멀젼을 도포한 시표와 에멀젼 도포 후 플라즈마 처리한 시료에 대해 에멀젼 침투거리의 변화를 확인하였다. 본 연구의 플렉서블 활성종 발생기는 인체에 부착하여 사용되기 때문에 화상, 홍반을 유발을 방지하기위해 $40^{\circ}C$의 온도에서 실험을 진행하였고 이때에 플라즈마 방전조건은 $0.065W/cm^2$ 수준의 전력을 소모하는 1.7 kV의 전압, 16 kHz의 주파수로 10분간 처리하였다. 그 결과 3%의 한천 젤의 경우 침투거리 0.779 mm에서 0.826 mm, 0.942 mm까지 침투거리가 증가하였고 5%의 한천 젤의 경우 0.859 mm, 0.949 mm로 증가하였다. 이러한 침투거리 증가는 젤 표면의 다당류를 구성하고 있는 단량체가 플라즈마 처리시 화확적 구조가 끊어져 결론적으로 약물 침투가 증가된 것으로 판단된다.

• The KIPS Transactions:PartC
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• v.9C no.1
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• pp.107-114
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• 2002

In these days, rapid advances of the computer system and the high speed network have made the multimedia services popularized among various applications and services in the internet. Internet live broadcasting, a part of multimedia services, makes it possible to provide not only existing broadcasting services including audio and video but also interactive communications which also expand application scopes by freeing from both temporal and spatial limitation. In the Paper, an interned Personal-live broadcasting server system is developed by allowing individual users to actively create or join live-broadcasting services with such basic multimedia devices as a PC camera and a sound card. As the number of broadcasters and participants increases, concurrent multiple channels are established and groups are to be expanded. The system should also guarantee High Availability (HA) for continuous services even in the presence of partial failure of the cluster. Furthermore, a transmission mode switching is supported to consider network environments in the user system.

• The KIPS Transactions:PartD
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• v.13D no.3 s.106
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• pp.383-390
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• 2006

Product-line engineering is a dreaming goal in software engineering research. Unfortunately, the current underlying technologies do not seem to be still not much matured enough to make it viable in the industry. Based on our experiences in working on mobile telephony systems over 3 years, now we are in the course of developing an approach to product-line engineering for mobile telephony system software. In this paper, the experiences are shared together with our research motivation and idea. Consequently, we propose an approach to building and maintaining telephony application logics from the perspective of scenes. As a Domain-Specific Language(DSL), Menu Navigation Viewpoint(MNV) DSL is designed to deal with the problem domain of telephony applications. The functional requirements on how a set of telephony application logics are configured can be so various depending on manufacturer, product concept, service carrier, and so on. However, there is a commonality that all of the currently used telephony application logics can be generally described from the point of user's view, with a set of functional features that can be combinatorially synthesized from typical telephony services(i.e. voice/video telephony, CBS/SMS/MMS, address book, data connection, camera/multimedia, web browsing, etc.), and their possible connectivity. MNV DSL description acts as a backbone software architecture based on which the other types of telephony application logics are placed and aligned to work together globally.

• The korean journal of orthodontics
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• v.27 no.5 s.64
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• pp.815-824
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• 1997

The purpose of this study is to develop the basic algorithm for the finite element method modeling of individual malocclusions. Usually, a great deal of time is spent in preprocessing. To reduce the time required, we developed a standardized procedure for measuring the position of each tooth and a program to automatically preprocess. The following procedures were carried to complete this study. 1. Twenty-eight teeth morphologies were constructed three-dimensionally for the finite element analysis and saved as separate files. 2. Standard brackets were attached so that the FA points coincide with the center of the brackets. 3. The study model of a patient was made. 4. Using the study model, the crown inclination, angulation, and the vertical distance from the tip of a tooth was measured by using specially designed tools. 5. The arch form was determined from a picture of the model with an image processing technique. 6. The measured data were input as a rotational matrix. 7. The program provides an output file containing the necessary information about the three-dimensional position of teeth, which is applicable to several finite element programs commonly used. The program for a basic algorithm was made with Turbo-C and the subsequent outfile was applied to ANSYS. This standardized model measuring procedure and the program reduce the time required, especially for preprocessing and can be applied to other malocclusions easily.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.344-350
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• 2003

In this paper, we propose a novel sharing method ordering the events occurring between users collaborated with the common telecomputing environment. We realize the sharing method with multimedia data to improve the coworking effect using teleprocessing network. This sharing method advances the efficiency of communicating projects such as remote education, tele-conference, and co-authoring of multimedia contents by offering conveniences of presentation, group authoring, common management, and transient event productions of the users. As for the conventional sharing white board system, all the multimedia contents segments should be authored by the exclusive program, and we cannot use any existing contents or program. Moreover we suffer from the problem that ordering error occurs in the teleprocessing operation because we do not have any line-up technology for the input ordering of commands. Therefore we develop a method of retrieving input and output events from the windows system and the message hooking technology which transmits between programs in the operating system In addition, we realize the allocation technology of the processing results for all sharing users of the distributed computing environment without any error. Our sharing technology should contribute to improve the face-to-face coworking efficiency for multimedia contents authoring, common blackboard system in the area of remote educations, and presentation display in visual conference.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.139-161
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• 2019

The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.127-143
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• 1996

Advanced countries are very active in deploying the National Information I infrastructure which provides universal service to promise fruitful quality of futuree life. Even in the distributed environment, we can closely converse, work together, and share information in a very convenient way. This is actually enabled with the help of groupware technology, which are currently focused and researched in a larger popularity. The aim of this study is to design a portable pack for group communications management to support the development of groupware application. In the paper we begin with technical survey, continue to build our own model for group communications man agement, and design its architecture and procedure. We also suggest group addressing mechanism under Internet environment such as how to create IP multicast address and IP port number dynamically and as a globally unique value for the communication session, with the help of the hierarchical and distributed address managers. We also indicate the reliable data transmission services to remedy the unreliable feature of the UDP multicast services, and finally the architecture/ applied to support the practical applications is briefly discussed for verification of the designed concept.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.9 s.351
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• pp.32-39
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• 2006

5.8GHz DSRC(Dedicated Short Range Communications) is a short to medium range communications service that supports both public safety and private operations in roadside to vehicle and vehicle communication. However the 5.8GHz frequency may cause the shadowing effect or communication blocking problem when there is an obstacle or another vehicle between RSE (Road Side Equipment) and OBE (On Board Equipment). In this paper, to solve this problem of the 5.8GHz DSRC, we propose a relay protocol based on the standard of DSRC radio communication between RSE and OBE in the 5.8GHz band made by TTA (Telecommunication Technology Association). By using the proposed relay protocol to DSRC system and intervehicle communication, we also consider a fixed relay protocol and mobile relay protocol. We expect to apply this relay protocol for the DSRC intervehicle communication and video communication between drivers and safe distance among vehicles in the near future.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.535-542
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• 2002

최근 IT 산업이 급성장하면서 화상 회의, 게임, 채팅 등에서의 아바타(avatar) 제어를 위한 자연스러운 인터페이스 기술이 요구되고 있다. 본 논문에서는 동적 윤곽선 모델(active contour models; snakes)을 이용하여 복잡한 배경이 있는 컬러 CCD 카메라 영상에서 얼굴과 눈, 입, 눈썹, 코 등의 얼굴 요소에 대해 윤곽선을 추출하거나 위치를 파악하는 방법을 제안한다. 일반적으로 스네이크 알고리즘은 잡음에 민감하고 초기 모델을 어떻게 설정하는가에 따라 추출 성능이 크게 좌우되기 때문에 주로 단순한 배경의 영상에서 정면 얼굴의 추출에 사용되어왔다 본 연구에서는 이러한 단점을 파악하기 위해, 먼저 YIQ 색상 모델의 I 성분을 이용한 색상 정보와 차 영상 정보를 사용하여 얼굴의 최소 포함 사각형(minimum enclosing rectangle; MER)을 찾고, 이 얼굴 영역 내에서 기하학적인 위치 정보와 에지 정보를 이용하여 눈, 입, 눈썹, 코의 MER을 설정한다. 그런 다음, 각 요소의 MER 내에서 1차 미분과 2차 미분에 근거한 내부 에너지와 에지에 기반한 영상 에너지를 이용한 스네이크 알고리즘을 적용한다. 이때, 에지 영상에서 얼굴 주변의 복잡한 잡음을 제거하기 위하여 색상 정보 영상과 차 영상에 각각 모폴로지(morphology)의 팽창(dilation) 연산을 적용하고 이들의 AND 결합 영상에 팽창 연산을 다시 적용한 이진 영상을 필터로 사용한다. 총 7명으로부터 양 눈이 보이는 정면 유사 방향의 영상을 20장씩 취득하여 총 140장에 대해 실험한 결과, MER의 오차율은 얼굴, 눈, 입에 대해 각각 6.2%, 11.2%, 9.4%로 나타났다. 또한, 스네이크의 초기 제어점을 얼굴은 44개, 눈은 16개, 입은 24개로 지정하여 MER추출에 성공한 영상에 대해 스네이크 알고리즘을 수행한 결과, 추출된 영역의 오차율은 각각 2.2%, 2.6%, 2.5%로 나타났다.해서 Template-based reasoning 예를 보인다 본 방법론은 검색노력을 줄이고, 검색에 있어 Feasibility와 Admissibility를 보장한다.매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having the same condition of

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.309-309
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• 2011

지구온난화와 도시기후 변화에 대응하기 위해 자연의 생태적 기능을 복원하고 환경에 대한 오염부하를 저감하여 도시 환경의 건강성과 지속성을 높이기 위해 도심 내 물순환시스템(urban water circulating system)의 구축이 요구된다. 즉, 물순환시스템을 활용하여 도심 내 다양한 수원(생태하천/호수 유지용수, 하수처리수, 우수, 지하수 등)을 네트워크 및 통합 관리하여 도시 내 물순환의 건전성과 수자원의 재이용률을 향상시킬 수 있다. 이를 위해서 연중 발생량이 일정하고 막대한(66.4억톤/년, 2009년 기준) 하수처리수 방류수는 고도처리를 통해 수질이 양호하며 안정적인 대체 수자원으로 고려된다. 또한, 하수처리수의 재이용은 공공수역으로 배출되는 오염부하량의 총량 삭감 및 상수사용량의 절감과 수자원을 효율적으로 이용한다는 면에서 최근 재이용 사례가 증가하고 있는 추세이다. 그러나, 도심 내 친수공간(생태하천/호수)은 저류수량에 비해 유입수량이 적어 체류시간이 비교적 장시간이고, 이로 인해 부영양화가 쉽게 발생해 수질이 악화된다. 따라서, 본 연구에서는 하수처리수 재이용수를 도심 내 친수공간의 유지용수로 활용 시, 수질정화공정(응집 후 여과, 응집 후 여과+한외여과, 응집 후 여과+한외여과+역삼투 공정)이 친수공간 내 조류성장에 미치는 영향을 파악하기 위해, 하수처리수 재이용수 pilot plant의 수질정화공정별 유출수를 활용해 M. aeruginosa를 시험조류로 조류성장(growth kinetics)을 조사하였다. 조류는 $5\times104$ cells/mL의 초기 농도로 접종하여 배양하였으며, 조류성장에 직접적인 제한인자인 용존반응성인의 농도에 따른 성장속도를 Monod와 변형 Monod Kinetics를 이용해 반포화상수(Ks)와 최대 성장속도(${\mu}$max)를 산정하였다. 실험결과, 역삼투 공정을 제외한 다른 수질정화공정은 비록 영양염류가 80~90% 이상 제거되어 수계의 화학적 성상이 변하였으나 조류성장역학의 변화는 통계학적 (p=0.05)으로 유의할만한 수준은 아닌 것으로 판명되었다. 또한, 수리학적 체류시간이 2주 이상이 될 경우, 역삼투 공정을 제외한 수질정화공정 별 유출수에서는 조류의 과다성장으로 인해 부영양화가 발생하는 것으로 판명되었다. 결론적으로 하수처리수 재이용수를 친수용수로 활용시, 조류성장을 방지하기 위하여 용존반응성인의 농도를 중점적으로 관리하는 수질정화공정 및 유지용수 공급방안을 고려해야하는 것으로 판단된다.