• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2009년도 추계학술발표논문집
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• pp.398-401
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• 2009

민간 주도형 사회간접자본 (social overhead capital :SOC) 사업은 BOT(build-operate-transfer)를 비롯하여 대상 프로젝트의 정부 정책 등의 여러 환경의 변경에 따라 다양하게 변형되어 적용되어 BTL(build-lease-transfer), BOO (build-own-operate)등의 여러 기법들을 사용된다. 민간 SOC 사업은 프로 젝트의 규모와 장기에 걸친 공사의 불확실성 때문에 프로젝트의 경제성 분석을 하는 것은 복잡하다. 일반적으로 사용하고 있는 현금흐름 할인모형(discount cash flow model; DCF)은 미래의 불확실성 변수들을 적절히 반영하지 못한다는 한계점을 가지고 있지만 현실적으로 많이 쓰이고 있는 방식이다. 본 논문은 옵션기반모형에 근거한, BOT-옵션가치평가(BOT-OV)모형을 국내 민간 SOC 사업의 경제성 분석을 위해 적용한다. BOT-OV모형을 적용하는 것이 기존 순현재가치(net present value; NPV)방식을 통하여 프로젝트 가치 평가 할 때보다 더 정밀한 경제적 타당성 평가를 할 수 있다는 것을 확인하여 기존의 NPV 평가방식의 방법을 대체할 수 있는 가능성을 확인하는데 의의가 있다고 할 수 있다.

• 대한수학회지
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• 제43권2호
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• pp.399-411
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• 2006

Let L be a subspace lattice on a Hilbert space H and X and Y be operators acting on a Hilbert space H. Let P be the projection onto $\frac\;{R(X)}$, where RX is the range of X. If PE = EP for each $E\;\in\;L$, then there exists an operator A in AlgL such that AX = Y if and only if $$sup\{{\parallel}E^{\bot}Yf{\parallel}/{\parallel}E^{\bot}Xf{\parallel}\;:\;f{\in}H,\; E{\in}L}=K\;<\;\infty$$ Moreover, if the necessary condition holds, then we may choose an operator A such that AX = Y and ${\parallel}A{\parallel} = K.$ Let x and y be vectors in H and let $P_x$ be the projection onto the singlely generated space by x. If $P_xE = EP_x$ for each $E\inL$, then the assertion that there exists an operator A in AlgL such that Ax = y is equivalent to the condition $$K_0\;:\;=\;sup\{{\parallel}E^{\bot}y{\parallel}/{\parallel}E^{\bot}x\;:\;E{\in}L}=<\;\infty$$ Moreover, we may choose an operator A such that ${\parallel}A{\parallel} = K_0$ whose norm is $K_0$ under this case.

• 시스템엔지니어링학술지
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• 제9권2호
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• pp.1-6
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• 2013

Developing Build-Own (or Operate)-Transfer (BOT) nuclear power project carrying large capital in the long term requires initially well-made multi-decision which it prevents sorts of risks from unexpected situation of target countries. In order to analyze the feasibility of project country, the Analytic Hierarchy Process is adopted. Firstly, the factors influencing the success of BOT nuclear power project in overseas countries were investigated through the literature survey for the country risk and were evaluated by expert interview for estimating comparative weight through pairwise comparison between such factors. Finally, it is developed comparative database of alternate countries with respect to each factor. This analytic method enables the developer to select and focus on the country which has preferable circumstance so that it enhances the efficiency of the project promotion. Also, it enables the developer to quantify the qualitative factors so that it diversifies the project success strategy and policy for the target country.

• ETRI Journal
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• 제35권6호
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• pp.1058-1067
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• 2013

An approach for game bot detection in massively multiplayer online role-playing games (MMORPGs) based on the analysis of game playing behavior is proposed. Since MMORPGs are large-scale games, users can play in various ways. This variety in playing behavior makes it hard to detect game bots based on play behaviors. To cope with this problem, the proposed approach observes game playing behaviors of users and groups them by their behavioral similarities. Then, it develops a local bot detection model for each player group. Since the locally optimized models can more accurately detect game bots within each player group, the combination of those models brings about overall improvement. Behavioral features are selected and developed to accurately detect game bots with the low resolution data, considering common aspects of MMORPG playing. Through the experiment with the real data from a game currently in service, it is shown that the proposed local model approach yields more accurate results.

• 한국안전학회지
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• 제28권1호
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• pp.18-23
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• 2013

The purpose of this study were to develop and validate a prototype slipmeter used on-site floor. The developed slipmeter was dreg sled type. It measured static coefficient of friction(SCOF). The developed slipmeter was evaluated with ASTM 2508-11 which use four different standard surfaces(polished granite, glazed porcelain, vinyl composite tile, and ceramic tile). The SCOF was then measured with developed slipmeter under the three different contaminants and seven different floors. The test results of slipmeter were also compared with those of BOT-3000, floor surface roughness, and human perception. The test results revealed that developed slipmeter successfully ranked all four standard surfaces and differentiated among standard surfaces with varying degrees of slipperiness. The developed slipmeter couldn't properly measure slipperiness under the two kind of floors(polished tile, ground steel plate) and one kind of contaminant(glycerol). The test results of developed slipmeter had stronger correlation with those of BOT-3000 and floor roughness under the water and detergent solution than under the glycerol. The test results of developed slipmeter also showed stronger correlation with those of BOT-3000 and surface roughness than those of human perception. The newly developed slipmeter had been found to give consistent results under the test conditions except for two kind of floors(polished tile, ground steel plate) and one kind of contaminant(glycerol).

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8489-8493
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• 2014

Objective: To verify the basic preoperative evaluation in the discrimination between benign and malignant adnexal masses in our clinical practice. Materials and Methods: Data were collected on the records of 636 women with adnexal masses who had undergone surgery either by open or endoscopic approaches. Those with obvious signs of malignancy, any history of cancer, emergency surgeries without basic evaluation were excluded. The preoperative features by age, ultrasound and serum Ca125 level were compared with final histopathological diagnosis at the four departments of the institution. These are the general gynecology (Group 1: exploratory laparotomy), the gynecologic endoscopy (Group 2: laparoscopy and adnexectomy), the gynecological oncology (Group 3: staging laparotomy) and the gynecologic endocrinology and infertility (Group 4: laparoscopy and cystectomy). Results: There were simple and complex cyst rates of 22.3% and 77.2%, respectively. There were 86.3% benign, 4.1% (n:20) borderline ovarian tumor (BOT) and 6.4% (n:48) malignant lesions. There were 3 BOT and 9 ovarian cancers in Group 1 and one BOT and two ovarian cancer in the Group 2. During the surgery, 15 BOT (75%) and 37 ovarian cancer (77%) were detected in the Group 3, only one BOT was encountered in the Group 4. The risk of rate of unsuspected borderline or focally invasive ovarian cancer significantly increased by age, size, complex morphology and Ca125 (95% CI, OR=2.72, OR=6.60, OR=6.66 and OR=4.69, respectively). Conclusions: Basic preoperative evaluation by comprehensive ultrasound imaging combined with age and Ca125 level has proved highly accurate for prediction of unexpected malignancies. Neither novel markers nor new imaging techniques provide better information that allow clinicians to assess the feasibility of the planned surgery; consequently, the risk of inadvertent cyst rupture during laparoscopy may be significantly decreased in selected cases.

• 한국전자통신학회논문지
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• 제13권3호
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• pp.561-570
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• 2018

인공지능은 4차 산업혁명에서 화두 되고 있는 기술 중 하나이며, 세계 각국의 기업들이 주목하고 있는 기술로 교육, 금융, 자동차 등 다양한 산업 분야에 적용해 나가고 있다. 챗봇은 정해진 응답규칙에 따라 사용자 질문에 응답할 수 있도록 만들어진 시스템으로, 지능형 가상 도우미 서비스, 날씨, 교통, 일정 등에 대한 간단한 질의응답부터 사용자의 패턴 분석을 통한 서비스 제공까지 점차 그 활용 범위가 확대되며 생활 밀착형 서비스로 입지를 굳혀갈 전망이다. 이에 인공지능 챗봇에 대한 연구는 반드시 필요하다고 볼 수 있다. 따라서 본 연구에서는 중소상인들을 위한 인공지능 챗봇 서비스 플랫폼 설계 및 구현에 대하여 제시하고자 한다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.73-77
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• 2001

In this paper, we propose a virtual action system based on information agents, We call the system the MultiHammer, MultiHammer can be used for studying and analyzing online actions. MuiltiHammer provides functions of implement-ing a meta online action site and an experiment environ-ment. We have been using MultiHammer as an experiment as an experiment environment for BiddinBot. BiddingBot aims at assisting users to bid simultaneously in multiple online auctions. In order to bid simultaneously in multiple online auctions. In order to analyze the behavior of BiddngBot, we need to pur-chase a lot of items. It is hard for us to prepare a lot of fund to show usability and advantage of BiddingBot. MultiHam-mer enables us to effectively analyze the behavior of BiddingBot. MultiHammer consists of three types of agents for information collecting data storing and auctioning. Agents for information wrappers. To make agent work as wrarp-pers, we heed to realize software modules for each online action site. Implementing these modules reguires a lot of time and patience. To address this problem, we designed a support mechanism for developing the modules. Agents for data storing record the data gathered by agents for informa-tion collecting. Agents for auctioning provide online services using data recorded by agents for data storing. By recording the activities in auction sites. MultiHammer can recreate any situation and trace auction for experimentation, Users can participate in virtual using the same information in real online auctions. Users also participate in real auc-tions via wrapper agents for information collecting

• 한국정보통신학회논문지
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• 제19권12호
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• pp.2885-2891
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• 2015

온라인 소셜 네트워크 서비스 중 하나인 트위터는 가장 보편적으로 사용되는 마이크로 블로그인데, 트위터의 개방적 구조로 인해 자동화 프로그램인 트윗 봇이 많이 생성되고 있다. 이 트윗 봇은 적법한 봇과 악성 봇으로 분류되는데, 이 중 악성 봇은 일반 사용자들에게 많은 양의 스팸 정보나 유해한 컨텐츠를 배포하기 때문에 트윗 봇을 검출하는 작업은 반드시 필요하다. 기존 연구에서는 시간적 정보를 활용하여 사람과 트윗 봇을 분류하였다. 본 논문에서는 사용자들의 고 정밀 위치 정보를 알려주는 공간 태그된 트윗 정보를 활용하여 트위터 사용자들의 정확한 위치와 트윗 전송시각을 알아낸 후, 각 사용자의 시공간 엔트로피를 계산하여 트윗 봇을 검출하는 개선된 두 단계 알고리즘을 제안한다. 주요 결과로써, 시간 정보만을 이용한 기존 연구결과보다 각 신뢰도별 봇 검출 확률 및 거짓 경보 확률이 모두 우수하게 나타난다.

• 정보보호학회논문지
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• 제22권2호
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• pp.225-238
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• 2012

온라인 게임의 다양한 보안 위협 가운데, 온라인 게임 봇의 사용이 게임 서비스에 가장 심각한 문제를 야기하고 있다. 본 논문에서는 온라인 게임 봇 탐지를 위한 소셜 액티비티 분석 프레임워크를 제안한다. 이 프레임워크를 이용하여 게이머의 소셜 액티비티를 가장 많이 포함하고 있는 파티 플레이(party play) 로그를 분석하는 데에 적용하였다. 게임 봇은 일반 사용자들과 다르게, 사이버 자산을 빠르게 얻는데 특화되어 있기 때문에 소셜 액티비티를 분석할 경우 정상적인 사용자들과 행동 패턴에 차이가 있다. 이 특징을 이용하여 게임 봇 이용자와 일반 이용자들을 구분해 낼 수있도록, 사용자 행위를 분석하고 온라인 게임 봇 탐지를 위한 임계값을 정의하였다. 탐지 규칙을 포함하는 지식 기반 시스템을 구축한 뒤 이를 국내 최대, 세계 6위 규모의 게임에 적용하였다. 본 논문의 프레임워크를 활용하여 분류를 한 결과 95.92%의 높은 정확도를 보였다.