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시간영역 랜킨패널법을 이용한 해양구조물의 운동응답 및 파랑하중의 수치해석
김태영(Taeyoung Kim),서민국(Min-Guk Seo),박동민(Dong-Min Park),김경환(Kyong-Hwan Kim),김용환(Yonghwan Kim) 한국해양환경·에너지학회 2012 한국해양환경공학회 학술대회논문집 Vol.2012 No.5
This study investigates the wave loads and motion responses of offishore structures in waves. A time-domain Rankine pane method is applied to achieve a easy connection with ecternal forces. Two famous floating structures, semi-submersible and tension leg platform(TLP), are selected and their specific features are considered in computations. In case of semi-submersible, it is discussed for appropriate way to include viscous effect. For TLP, effect of tether force and its proper way of inclusion are focused Computation results are compared to the experiment and favorable accordance is achieved.
시간영역 랜킨패널법을 이용한 해양구조물의 운동응답 및 파랑하중의 수치해석
김태영(Taeyoung Kim),서민국(Min-Guk Seo),박동민(Dong-Min Park),김경환(Kyong-Hwan Kim),김용환(Yonghwan Kim) 대한조선학회 2012 대한조선학회 학술대회자료집 Vol.2012 No.5
This study investigates the wave loads and motion responses of offshore structures in waves. A time-domain Rankine panel method is applied to achieve a easy connection with external forces. Two famous floating structures, semi-submersible and tension leg platform(TLP), are selected and their specific features are considered in computations. In case of semi-submersible, it is discussed for appropriate way to include viscous effect. For TLP, effect of tether force and its proper way of inclusion are focused. Computation results are compared to the experiment and favorable accordance is achieved.
Augmented Reality based Low Power Consuming Smartphone Control Scheme
( Jong-moon Chung ),( Taeyoung Ha ),( Sung-woong Jo ),( Taehyun Kyong ),( So-yun Park ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.10
The popularity of augmented reality (AR) applications and games are in high demand. Currently, the best common platform to implement AR services is on a smartphone, as online games, navigators, personal assistants, travel guides are among the most popular applications of smartphones. However, the power consumption of an AR application is extremely high, and therefore, highly adaptable and dynamic low power control schemes must be used. Dynamic voltage and frequency scaling (DVFS) schemes are widely used in smartphones to minimize the energy consumption by controlling the device’s operational frequency and voltage. DVFS schemes can sometimes lead to longer response times, which can result in a significant problem for AR applications. In this paper, an AR response time monitor is used to observe the time interval between the AR image input and device’s reaction time, in order to enable improved operational frequency and AR application process priority control. Based on the proposed response time monitor and the characteristics of the Linux kernel’s completely fair scheduler (CFS) (which is the default scheduler of Android based smartphones), a response time step control (RSC) scheme is proposed which adaptively adjusts the CPU frequency and interactive application’s priority. The experimental results show that RSC can reduce the energy consumption up to 10.41% compared to the ondemand governor while reliably satisfying the response time performance limit of interactive applications on a smartphone.
JO, Sung-Woong,HA, Taeyoung,KYONG, Taehyun,CHUNG, Jong-Moon INSTITUTE OF ELECTRONICS, INFORMATION & 2017 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E SE Vol.100e.d No.1
<P>Dynamic voltage and frequency scaling (DVFS) is an essential mechanism for power saving in smartphones and mobile devices. Central processing unit (CPU) load based DVFS algorithms are widely used due to their simplicity of implementation. However, such algorithms often lead to a poor response time, which is one of the most important factors of user experience, especially for interactive applications. In this paper, the response time is mathematically modeled by considering the CPU frequency and characteristics of the running applications based on the Linux kernel's completely fair scheduler (CFS), and a Response time constrained Frequency & Priority (RFP) control scheme for improved power efficiency of smartphones is proposed. In the RFP algorithm, the CPU frequency and priority of the interactive applications are adaptively adjusted by estimating the response time in real time. The experimental results show that RFP can save energy up to 24.23% compared to the ondemand governor and up to 7.74% compared to HAPPE while satisfying the predefined threshold of the response time in Android-based smartphones.</P>
자율주행 차량의 강건한 횡 방향 제어를 위한 차선 지도 기반 차량 위치추정
김동욱(Dongwook Kim),정태영(Taeyoung Jung),이경수(Kyong-Su Yi) 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.21 No.2
Automated driving systems require a high level of performance regarding environmental perception, especially in urban environments. Today’s on-board sensors such as radars or cameras do not reach a satisfying level of development from the point of view of robustness and availability. Thus, map data is often used as an additional data input to support these systems. An accurate digital map is used as a powerful additional sensor. In this paper, we propose a new approach for vehicle localization using a lane map and a single-layer LiDAR. The maps are created beforehand using a highly accurate DGPS and a single-layer LiDAR. A pose estimation of the vehicle was derived from an iterative closest point (ICP) match of LiDAR’s intensity data to the lane map, and the estimated pose was used as an observation inside a Kalmanfilter framework. The achieved accuracy of the proposed localization algorithm is evaluated with a highly accurate DGPS to investigate the performance with respect to lateral vehicle control.
Jaegeun Lee(이재근),Seung Woo Yang(양승우),Seunghee Lee(이승희),Yun Kyong Hyon(현윤경),Jinbum Kim(김진범),Long Jin(김용),Ji Yong Lee(이지용),Jong Mok Park(박종목),Taeyoung Ha(하태영),Ju Hyun Shin(신주현),Jae Sung Lim(임재성),Yong Gi 대한비뇨기종양학회 2019 대한비뇨기종양학회지 Vol.17 No.2
Purpose: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. Materials and Methods: We analyzed 943 patients who underwent transrectal ultrasonography (TRUS)-guided prostate biopsy at Chungnam National University Hospital between 2014 and 2018 because of elevated PSA levels and/or abnormal digital rectal examination and/or TRUS findings. We retrospectively reviewed the patients’ medical records, analyzed the prediction rate of prostate cancer, and identified 20 feature importances that could be compared with biopsy results using 5 different algorithms, viz., logistic regression (LR), support vector machine, random forest (RF), extreme gradient boosting, and light gradient boosting machine. Results: Overall, the cancer detection rate was 41.8%. In patients younger than 75 years and with a PSA level less than 20 ng/mL, the best prediction model for prostate cancer detection was RF among the machine learning methods based on LR analysis. The PSA density was the highest scored feature importances in the same patient group. Conclusions: These results suggest that the prediction rate of prostate cancer using machine learning methods not inferior to that using LR and that these methods may increase the detection rate for prostate cancer and reduce unnecessary prostate biopsy, as they take into consideration feature importances affecting the prediction rate for prostate cancer.
Vaccine Effect on Household Transmission of Omicron and Delta SARS-CoV-2 Variants
김용찬,김봉영,손낙훈,Heo Namwoo,Nam Yooju,Shin Areum,Yang Andrew Jihoon,김민형,Kyong Taeyoung,Kang Eawha,Park Yoon Soo,김희정 대한의학회 2023 Journal of Korean medical science Vol.38 No.1
Background: We evaluated the household secondary attack rate (SAR) of the omicron and delta severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, according to the vaccination status of the index case and household contacts; further, in vaccinated index cases, we evaluated the effect of the antibody levels on household transmission. Methods: A prospective cross-sectional study of 92 index cases and 197 quarantined household contacts was performed. Tests for SARS-CoV-2 variant type and antibody level were conducted in index cases, and results of polymerase chain reaction tests (during the quarantine period) were collected from contacts. Association of antibody levels in vaccinated index cases and SAR was evaluated by multivariate regression analysis. Results: The SAR was higher in households exposed to omicron variant (42%) than in those exposed to delta variant (27%) (P = 0.040). SAR was 35% and 23% for unvaccinated and vaccinated delta variant exposed contacts, respectively. SAR was 44% and 41% for unvaccinated and vaccinated omicron exposed contacts, respectively. Booster dose immunisation of contacts or vaccination of index cases reduced SAR of vaccinated omicron variant exposed contacts. In a model with adjustment, anti-receptor-binding domain antibody levels in vaccinated index cases were inversely correlated with household transmission of both delta and omicron variants. Neutralising antibody levels had a similar relationship. Conclusion: Immunisation of household members may help to mitigate the current pandemic.