A Study on a Semiparametric Method to Point Source Modelling and its Application

학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 8. 박병욱.Diggle has been analysed point source problems, and he suggested a independent Poisson Process model for disease case and control with each intensity functions (1990). Also, Diggle and Rowlingson (1994) suggested a non-linear binary model for that bivariate poisson process model by conditioning case and control locations. By this method, they can extend a model to include several point sources and explanatory variables. Especially, Rodrigues, Diggle and Assucao (2009) suggested a semiparametric model as a Generalized Additive Model(GAM) to analyse point source effect in Epidemiology and Criminology. This paper introduces semiparametric approach for point source modelling and its application. Also, we apply that method to asthma data and compare its result to previous parametric result in 1994.Chapter 1 Introduction 1 Chapter 2 The Conditional Approach to Point Source Model 3 2.1 Poisson Process Model for a Point Source 3 2.2 Conditional Approach 4 Chapter 3 Semiparametric Approach 6 Chapter 4 Application 8 4.1 Larynx and Lung Cancers in Lancashire, UK 8 4.2 CCTV in Belo, Brazil 9 Chapter 5 Simulation 15 Chapter 6 Conclusion 20 References 21 국문 초록 22Maste

Automotive SerDes Performance Evaluation under In-line Connector Channels

High-speed in-vehicle networks are required to process vast amounts of data from various sensors, such as cameras, light detection and ranging(LiDAR), and radars to develop autonomous driving technology. Automotive Serialized Deserializer (SerDes), such as flat panel display(FPD), gigabit multimedia serial link(GMSL), and Automotive SerDes Alliance (ASA), has been proposed in order to adopt high-speed SerDes technology to vehicles. In this paper, we investigate the optimal receiver environment parameters to provide the highest link performance for the Automotive SerDes channel under the in-line connectors mandatory for car assembly. In addition, we propose a channel estimation method by using auto-correlation in order to set the receiver analog front-end in an optimal way to achieve the highest signal-to-noise power ratio(SNPR) performance in various automotive link conditions. © 2020 Korean Society of Automotive Engineers. All rights reserved.1