• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.2
• /
• pp.284-294
• /
• 2018

Statistical methods have been widely used to estimate the remaining battery runtime of mobile smart devices, such as smart phones, smart gears, tablets, and etc. However, existing work available in the literature only considers a particular statistical method. Thus, it is difficult to determine whether statistical methods are applicable to estimating thr remaining battery runtime of mobile devices or not. In this paper, we evaluated the performance of statistical methods applicable to estimating the remaining battery runtime of mobile smart devices. The statistical estimation methods evaluated in this paper are as follows: simple and moving average, linear regression, multivariate adaptive regression splines, auto regressive, polynomial curve fitting, and double and triple exponential smoothing methods. Research results presented in this paper give valuable data of insight to IT engineers who are willing to deploy statistical methods on estimating the remaining battery runtime of mobile smart devices.

• Korean Chemical Engineering Research
• /
• v.49 no.3
• /
• pp.285-291
• /
• 2011

NCO terminated polyurethane prepolymers were synthesized from isophorone diisocyanate(IPDI), poly (tetramethylene glycol)(PTMG) and dimethylol propionic acid(DMPA). Subsequently, waterborne polyurethanes were prepared by capping the NCO groups of polyurethane prepolymers with different types of silane coupling agents, such as methyltrimethoxysilane(MTMS), glycidoxypropyl trimethoxysilane(GPTMS), methacryloxypropyl trimethoxysilane (MPTMS) and aminopropyl triethoxysilane(APS). The average particle size of the waterborne polyurethane solutions was increased by adding silane coupling agents. Also, the coating films prepared from GPTMS, MPTMS and APS, exhibited better pencil hardness than those from pure waterborne polyurethane. On the other hand, the coating films from MTMS did not show an improved pencil hardness than those from pure waterborne polyurethane.

• Korean Chemical Engineering Research
• /
• v.49 no.5
• /
• pp.548-553
• /
• 2011

NCO terminated polyurethane prepolymers were synthesized from isophorone diisocyanate(IPDI), polycarbonate diol(PCD) and dimethylol propionic acid(DMPA). Subsequently, acrylic terminated polyurethanes were prepared by capping the NCO groups of polyurethane prepolymers with different types of acrylate monomers, such as 2-hydroxyethyl methacrylate(HEMA), 2-hydroxyethyl acrylate(HEA) and pentaerythritol triacrylate(PETA). The average particle sizes of the acrylic terminated polyurethane solutions were increased by capping acrylate monomers. Also, the prepared coating films showed better abrasion resistance and pencil hardness than those of pure waterborne polyurethanes. The coating film with PETA exhibited the best abrasion resistance and pencil hardness of coating films prepared with three acrylate monomers.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2006.05a
• /
• pp.1176-1181
• /
• 2006

The purpose of this study was to estimate water supply analysis and reliability indicators by using allocation rule(AR) about Andong Dam and Imha Dam which have parallel reservoirs system. According to the analysis results of allocation rule, for Rule(A) and Rule(B), the contribution of water supply in Andong Dam was 60% more than in Imha Dam, and for Rule(C), the contributions in Andong Dam and Imha Dam were almost equal. In Rule(C), supply is allocated by the ratio which divides the sum of storage and inflow by the mean storage according to the storage state and supply capability state of Andong Dam and Imha Dam. This Rule(C) showed good results in the water supply capability analysis and reliability analysis of parallel reservoirs. In the analysis criteria of water supply in parallel reservoirs system, monthly water change quantity showed better results than monthly constant water quantity in water supply analysis. On the basis of this study, the new technique for water supply analysis was developed to be applied to parallel reservoirs, and this operation rule will establish the efficient operation measures in the application to several kinds of parallel reservoirs system.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.11a
• /
• pp.63-66
• /
• 2009

기존의 H.264/AVC 비디오 표준은 고화질 비디오 부호화를 지원하지만 고해상도에 특화된 요소 기술이 도입되지 않아 만족할만한 성능을 보이지 못한다. 현존하는 동영상 압축 표준 중 가장 뛰어난 H.264/AVC 표준의 인트라 $16{\times}16$ 예측은 매크로블록에 인접한 최대 33개의 주변 화소를 이용하여 매크로블록에 속한 256개의 화소 값을 예측한다. 특히, 전체 예측 모드 중 수직과 수평 예측 모드에서는 16개의 수직 또는 수평 위치에 위치한 주변 화소로 전체 매크로블록 내의 화소 값을 예측하므로 매크로 블록의 끝으로 갈수록 예측의 정확도가 떨어져 부호화 비트가 증가한다. 고화질 영상에서는 인트라 $16{\times}16$ 모드로 부호화되는 블록이 많으므로 수행되므로 인트라 $16{\times}16$ 예측의 정확도를 높일 수 있는 기술이 필요하다. 본 논문에서는 기존의 H.264/AVC의 예측 방법보다 예측 정확도가 높은 새로운 라인 기반 $16{\times}16$ 인트라 예측 방법을 제안한다. 일반적으로 편평한 특성을 보이는 인트라 $16{\times}16$ 블록이라도 좀 더 가까운 화소를 참조 화소로 사용하면 예측의 정확도를 높여 부호화 비트를 줄일 수 있다. 이를 이용하여 제안하는 알고리즘에서는 인트라 $16{\times}16$ 블록에서 16개 화소 한 줄을 단위로 예측 및 부호화를 수행한다. 1080p HD급 테스트 영상을 이용하여 실험한 결과, 기존의 H.264/AVC FRExt High 프로파일에 비해 평균 약 6.92%의 부호화 비트를 감소시킬 수 있음을 보였다.

• 한국해양학회지
• /
• v.20 no.1
• /
• pp.31-42
• /
• 1985

Multivariate analyses has been performed on both qualitative and quantitative data of phytoplankton samples collected off the coast of Kunsan in October, 1980, and in March, 1981. The result shows that structure of the phytoplankton cmmunity largely depended on hydrological conditions. Thus the study area can be divided into three phyto-hydrographic zones; the waters under influence of the proper water of the Yellow Sea, the waters where mixing with fresh water occurred, the waters from the south. Biomass was estimated of plasma volume and cell carbon content. The mean value of cell carbon was 30.0$\mu\textrm{g}$/$\ell$ in October and 26.6$\mu\textrm{g}$/$\ell$ in March. Relatively low value of biomass seems to be related to great turbidity of the area. Microflagellates of about 5$\mu\textrm{m}$ were abundant with a density of million cells per liter. Their abundance showed on considerable seasonal variation.

• The Journal of the Korea Contents Association
• /
• v.16 no.11
• /
• pp.488-498
• /
• 2016

Much of the information is stored as data, research has been activated for analyzing the data and predicting the special circumstances. In the case of power data, the studies, such as research of renewable energy utilization, power prediction depending on site characteristics, smart grid, and micro-grid, is actively in progress. In this paper, we propose a power prediction model using the substation environment data. In this case, we try to verify the power prediction result to reflect the multiple arguments on the power and weather data, rather than a simple power data. The validation process is the effect of multiple factors compared to other two methods, one of power prediction result considering power data and the other result using power pattern data that have been made in the similar weather data. Our system shows that it can achieve max prediction error of less than 15%.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2008.05a
• /
• pp.544-549
• /
• 2008

최근 임하댐, 소양강댐을 대상으로 탁수의 문제가 심각하게 제시되고 있으며, 이에 대한 대책을 수립하기 위해 정부, 공공연구기관, 대학 등에서 다양한 연구를 진행하고 있으나 탁수 발생에 대한 근본적인 대책 수립과 이의 효과에 대한 분석이 이루어지고 있지 않은 실정이다. 현시점에서 탁수발생의 근본적인 원인을 규명하고 이에 대한 대책이 계획적이고 치밀하게 수립되어야 할 것으로 판단 된다. 우리나라의 기후변화는 지난 100년($1906{\sim}2005$) 동안 평균 기온이 약 $1.5^{\circ}C$ 상승하였으며, 강우 강도가 큰 집중호우의 발생빈도는 약 18% 증가한 반면, 강우일수는 약 14% 감소하는 추세에 있다. 또한, 지구온난화로 인하여 식생대, 어종 등 생태계가 아열대성 기후로 진행되고 있으며, 탁수발생의 원인은 이상기후로 인한 강우강도의 증가뿐만 아니라, 집중홍수 빈발, 식생대(Vegetation) 변화와 유역관리(Watershed Management) 소홀 등의 복합적인 원인에 의하여 새롭게 발생되는 현상이다. 또한, 최근의 탁수는 댐 상류는 물론 수계전반에 걸쳐 발생하고 있으며, 지난 2007년 발생한 북한강 수계의 탁수문제 등에서 이제는 정부차원의 체계적인 발생원인 규명과 대책 마련이 필요한 실정이다. 댐 및 하천으로 유입되는 탁수는 저수지의 고탁도 현상의 장기화를 야기시키며, 이로 인해 댐 저수지 및 하류하천 수질악화, 정수처리 비용 증가 등 댐 저수지의 효율적인 수질관리가 어려운 실정이다. 한편, 고농도의 인(P)이 유입되어 저수지내 부영양화(Eutrophication) 및 수생태계의 변화를 초래하고 있다. 앞으로도 잠재적 탁수발생 가능성이 커질 것으로 전망됨에 따라 탁수발생 메커니즘 규명, 댐 저수지내 수리동역학적 거동특성 및 생태계에 영향(Ecological Impact) 등 탁수와 관련된 미개척 분야의 연구가 시급한 상황이다. 댐과 유역을 분리하여 수립된 기존의 대책으로는 탁수발생의 근본적인 원인규명과 대책 수립이 어려운 실정이므로 수계단위로 탁수에 대한 연구가 진행되어야 한다. 따라서 수계별로 탁수발생의 근본적인 원인을 규명하기 위하여는 수계별 탁수발원지 및 발생원인 조사, 댐 저수지의 수리동역학적 탁수거동 해석, 탁수발생 잠재성 평가, 수계단위 탁수예방 대책 수립을 위한 우선순위 결정 등을 포함한 학제적인(Interdisciplinary) 연구를 진행할 계획이다.

• Journal of Aquaculture
• /
• v.15 no.2
• /
• pp.87-93
• /
• 2002

To improve the efficiency of biological filters used for treating recycled wastewater of aquaculture, the conventional and advanced DynaSand Filters were tested. Applying the fluid mechanics and physical chemistry theories to wastewater treatment plant, the advanced filter focuses on detection of wastewater characteristics and automatic operation of DynaSand Filter to improve backwashing, oxygen transport, turbidity removal and continuous head loss. The Filter removes COD, ammonia, and suspended solids (SS), the major pollutants in aquaculture wastewater. The total volume of the DynaSand Filter is 70 L, while the working volume is 35 L per cycle. The removal efficiency of the advanced DynaSand Filter is 71 % for SS (as against 55 % for the conventional filter), 84 % for ammonia, 85 % for T-P, and 88 % for SRP.

• Journal of KIISE
• /
• v.45 no.1
• /
• pp.30-35
• /
• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.