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The Effect of Repeated and Spaced Exposures of Internet Display Advertising
Janghyuk Lee,Donnel A. Briley,Jungsuk Oh,Se-Bum Park,Sung Joo Bae 한국마케팅학회 2018 마케팅연구 Vol.33 No.1
The present research examines the effects of repeat exposures and the amount of time elapsed between exposures to Internet banner ads on message recall based on the field data from seven actual Internet ad campaigns run in seven European countries. Our findings indicate that message recall rate to repeated and spaced banner ad exposures follows an inverted-U shape and increasing the time interval between exposures reduces the number of repetitions required to reach the maximum level of message recall.
사회공헌활동 효과에 기업 이미지 및 구매 의도에 미치는 영향에 관한 연구
이장혁(Janghyuk Lee),이승민(Seung-Min Lee),김상용(Sang Yong Kim),우원석(Wonseok Woo) 한국경영과학회 2008 한국경영과학회지 Vol.33 No.2
The rising importance of sustainable development led major corporations to pay attention to customer communication with regard to corporate social responsibility (CSR). This research shed light on the impact of CSR related actions. Our findings show that their effect on corporate image and purchase intention strengthens as they are closely related to the corporation's business area. As well, the purchase intention effect is found to be higher in case of high involvement products than that in case of low involvement ones.
오일러 방정식과 자유 후류법을 이용한 헬리콥터 로터의 비정상 공력 해석 연구
이재훈(Jaehun Lee),위성용(Seongyong Wie),권장혁(JangHyuk Kwon),이덕주(Duckjoo Lee),김대희(Dahee Kim) 한국전산유체공학회 2007 한국전산유체공학회 학술대회논문집 Vol.2007 No.-
In this study the unsteady aerodynamic analysis of a hovering helicopter rotor is performed For the accurate flow field analysis Euler equations and the free wake method are coupled The Euler equations are solved to find the pressure distribution around the rotor, and free wake method is used to give the boundary condition for the solution of Euler equations. Also, vortex strength and wake motion after the rotor are simulated by the free wake method The accuracy of the present method is compared with the source sink model. The present method is applied to the hovering Caradonna-Tung rotor and compared with experimental results.
Indicator-based Behavior Ontology for Detecting Insider Threats in Network Systems
( Janghyuk Kauh ),( Wongi Lim ),( Koohyung Kwon ),( Jong-eon Lee ),( Jung-jae Kim ),( Minwoo Ryu ),( Si-ho Cha ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.10
Malicious insider threats have increased recently, and methods of the threats are diversifying every day. These insider threats are becoming a significant problem in corporations and governments today. From a technology standpoint, detecting potential insider threats is difficult in early stage because it is unpredictable. In order to prevent insider threats in early stage, it is necessary to collect all of insiders’ data which flow in network systems, and then analyze whether the data are potential threat or not. However, analyzing all of data makes us spend too much time and cost. In addition, we need a large repository in order to collect and manage these data. To resolve this problem, we develop an indicator-based behavior ontology (IB2O) that allows us to understand and interpret insiders’ data packets, and then to detect potential threats in early stage in network systems including social networks and company networks. To show feasibility of the behavior ontology, we developed a prototype platform called Insider Threat Detecting Extractor (ITDE) for detecting potential insider threats in early stage based on the behavior ontology. Finally, we showed how the behavior ontology would help detect potential inside threats in network system. We expect that the behavior ontology will be able to contribute to detecting malicious insider threats in early stage.
V2X 통신 및 LSTM을 활용한 주변 차량 경로 예측 알고리즘
임장혁(Janghyuk, Yim),최동호(Dongho, Choi),이상선(Sangsun, Lee) 한국자동차공학회 2019 한국자동차공학회 학술대회 및 전시회 Vol.2019 No.11
To bring the autonomous vehicle into the life, many researches are conducted on path prediction based on recognition sensors. Still there are many obstacles on recognition derived from the sensors’ costs and flood of their raw data. To solve the problems, V2X communication is considered to be the replacement or complementary component. On the prediction step, machine learning is emerging as one of the best method for the path prediction. In this paper, we proposed distance prediction which is the basic of path prediction of upcoming 3 seconds, based on data derived from mono camera and V2X communication and machine learning algorithm.