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A Measure of Robust Rotatability for Second Order Response Surface Designs
Rabindra Nath Das,박성현 한국통계학회 2007 Journal of the Korean Statistical Society Vol.36 No.4
In Response Surface Methodology (RSM), rotatability is a natural andhighly desirable property. For second order general correlated regressionmodel, the concept of robust rotatability was introduced by Das (1997). Inthis paper a new measure of robust rotatability for second order responsesurface designs with correlated errors is developed and illustrated with anexample. A comparison is made between the newly developed measure withthe previously suggested measure by Das (1999).
Rabindra Bista,장재우,심춘보 한국정보과학회 2008 데이타베이스 연구 Vol.24 No.2
Recently, Wireless Sensor Networks (WSNs) are widely used in the various fields of physical world such as environment tracking and personal health status monitoring to change our daily lives. As a result, has been is much research on developing applications for WSNs. But, as sensor nodes are tightly integrated into the physical world, we need to know about low level details of the sensor hardware and the network protocols and hence application development is always a cumbersome task. Moreover, sensor nodes are resources constraint, which restricts to apply traditional application designing paradigms. In this regards, there are many middleware devised as a platform to enhance the development of the applications for WSNs by bridging the gap between the high level application and the low level details of the WSNs. However, many designing principles, issues and challenges have to be addressed by the middleware due to the resources constraint nature of sensor nodes and low bandwidth of WSNs. In this paper, we explore several relevant middleware for the WSNs to provide some insights on the current status of them existing in this literature. For this, we first present middleware designing principles, issues and challenges. Then, we classify the relevant middleware on the basis of their application area in the physical world. Finally, we evaluate several middleware to show their strength to address the designing principles, issues and challenges. 최근 무선 센서 네트워크(Wireless Sensor Networks : WSNs)는 환경 감시(environment tracking), 개인 건강 상태 감지(personal health status monitoring) 실생활의 다양한 분야에서 활용되며, 우리의 일상 생활에 많은 변화를 주고 있다. 이에 따라 무선 센서 네트워크 상에서의 다양한 응용을 개발하는 연구가 활성화되고 있다. 그러나 WSN 응용 개발을 위해서는 센서 노드 하드웨어, 네트워크 프로토콜과 같은 하부 구조에 대한 상세한 지식이 요구된다. 또한 센서 노드 내의 제한된 자원을 고려한 설계 패러다임(paradigm)이 필요하다. 이러한 문제를 해결하기 위하여, WSN 응용과 센서 노드 하드웨어의 중간에 위치하여 둘 사이의 유연한 통합을 지원하는 다양한 WSN 미들웨어가 개발되었다. 그러나 개발된 미들웨어들은 각기 다른 개발 목표를 지니고 있기 때문에, 상호간의 비교가 난해하다. 이에 본 연구에서는 WSN 미들웨어의 현 상황을 고찰함으로써, 해당 분야의 연구에 대하여 기여하고자 한다. 이를 위해 첫째, 센서 노드 미들웨어들의 개발 목표에 기반한 특성들을 살펴본다. 둘째, 각 응용 분야에 따른 미들웨어의 분류를 제시한다. 마지막으로 각 미들웨어의 강점 및 약점에 대하여 평가한다.
Design of Spatial Similarity Measure for Moving Object Trajectories in Spatial Network
Rabindra Bista(라빈드라 비스타),Jae-Woo Chang(장재우) 한국정보과학회 2006 한국정보과학회 학술발표논문집 Vol.33 No.2C
Similarity search in moving object trajectories in an active area of research. In this paper, we introduce a new concept of measure that computes spatial distance (similarity) between two trajectories of moving objects on road networks. In addition, we propose an algorithm that generates a sequence of matching edge pairs for two trajectories that are to be compared and computes spatial distance between them which in non Euclidian in nature. With an example, we explain how our algorithm works to show spatial similarity between trajectories of moving objects in spatial network.
On efficient robust first order rotatable designs with autocorrelated error
Rabindra Nath Das,Sung Hyun Park 한국통계학회 2008 Journal of the Korean Statistical Society Vol.37 No.2
Generally, it is very difcult to derive optimal or at least efcient designs for linear models with correlated observations, and forsome correlation structure, an exactD-optimal design does not exist. In this paper we have developed the notion of aD-optimalrobust rst order design(D-ORFOD) for linear model with a general correlated error structure. We have shown thatD-optimalrobust rst order designs are always robust rst order rotatable designs (RFORDs)butthe converse is not always true. For a rstorder linear model with autocorrelated error, we have developed a set ofefcientRFORDs with efciency around ninety percentand the developed designs are very close toD-ORFODs. We have also developed a new method of analysis that is the estimationof regression parameters, correlation parameter and error variance, assuming the correlation parameter involved in the correlationstructure is unknown.
Stability of Money Demand Function in the SAARC Region: A Panel Co-Integration Approach
Rabindra Nepal,Nirash Paija 세종대학교 경제통합연구소 2020 Journal of Economic Integration Vol.35 No.1
This study explores the causality relationships between money demand, real income, price, and interest rate by focusing on South Asia for the period between 1986 and 2017 using panel data econometrics. Our estimations based on panel auto-regressive distributed lag (ARDL) reveal a significant and positive long-run relationship between real income and money demand, while a negative relationship exists with interest rate and price. The panel vector error correction model causality results highlight a feedback relationship between money demand and real income, but a short-run unidirectional causality between price and interest rate and real income. We also discover long-run bidirectional causality among these variables. Our results indicate that the money demand function was stable in South Asian economies during the time period considered by this study. Therefore, the central bank of these countries can use money supply as an appropriate instrument to manage monetary policy to achieve overall price and macroeconomic stability.
Optimization of Micellar Enhanced Ultrafiltration (MEUF) Process for Copper Removal
Rabindra Bade,Seung Hwan Lee,Ki Tae Baek,Gook Man Ahn,Jong Dal Kim 대한환경공학회 2005 대한환경공학회 학술발표논문집 Vol.2005 No.12
Several series of experiments were conducted to find copper removal from artificial suspension by using micellar enhanced ultrafiltration (MEUF) with sodium Dodecyl Sulphate (SDS) as a surfactant. To optimize the system operating parameters molar ratio, initial concentration of copper, retentate pressure, pH, flow rate were monitored. The investigated results showed that copper removal increased with the increase in molar ratio; however flux decreased due to the formation of flocs. The removal was about 98%, when copper to SDS molar ratio was 1:30. With the increase in operating retentate pressure, flow rate, and initial concentration of copper; copper removal decreased in addition to decrease in flux. From the economical and removal point of view neutral water gave the better results. In terms of removal efficiency and permeate flux, flow rate of 40 ml/min, copper to SDS molar ratio of 1:30, and operating retentate pressure of 1.4 bars were found to be the optimum operating parameters within the experimental condition operated.
Rabindra Bade,Seung Hwan Lee 대한환경공학회 2008 Environmental Engineering Research Vol.13 No.2
In this study, chromate and cetylperidinium chloride (CPC) removal from artificial wastewater was monitored by using micellar enhanced ultrafiltration (MEUF) and activated carbon fibre (ACF) adsorption hybrid processes. For the efficient chromate removal, molar concentration of the CPC should be five times that of chromate and it should be at least one critical micelle concentration (CMC). The MEUF was found to be effective in the chromate removal while ACF in the CPC adsorption to produce chromate and CPC free effluents. The chromate and CPC removal was 99.8% from MEUF-ACF process. Effluent chromate concentration was exponentially correlated with molar ratio of CPC to chromate and pH.