Signal detection with random backgrounds and random signals

In this dissertation we explore theoretical and computational methods to investigate Bayesian ideal observers for performing signal-detection tasks. Object models are used to take into account object variability in image backgrounds and signals for the detection tasks. In particular, lumpy backgrounds (LBs) and Gaussian signals are used for various paradigms of signal-detection tasks. Simplified pinhole imaging systems in nuclear medicine are simulated for this work. Markov-chain Monte Carlo (MCMC) methods that estimate the ideal observer test statistic, the likelihood ratio, for signal-known-exactly (SKE) tasks, where signals are nonrandom, are employed. MCMC methods are extended to signal-known-statistically (SKS) tasks, where signals are random. Psychophysical studies for the SKE and SKS tasks using non-Gaussian and Gaussian distributed LBs are conducted. The performance of the Bayesian ideal observer, the human observer, and the channelized-Hotelling observer for the SKE and SKS tasks is compared. Human efficiencies for both the SKE tasks and SKS tasks are estimated. Also human efficiencies for non-Gaussian and Gaussian-distributed LBs are compared for the SKE tasks. Finally, the theory of the channelized-ideal observer (CIO) is introduced to approximate the performance of the ideal observer by the performance of the CIO in cases where the channel outputs of backgrounds and signals are non-Gaussian distributed. Computational approaches to estimate the CIO are investigated

Development of a Diagnosis and Evaluation System for Hemiplegic Patients Post-Stroke Based on Motion Recognition Tracking and Analysis of Wrist Joint Kinematics

An inexperienced therapist lacks the analysis of a patient’s movement. In addition, the patient does not receive objective feedback from the therapist due to the visual subjective judgment. The aim is to provide a guide for in-depth rehabilitation therapy in virtual space by continuously tracking the user’s wrist joint during Leap Motion Controller (LMC) activities and present the basic data to confirm steady therapy results in real-time. The conventional Box and Block Test (BBT) is commonly used in upper extremity rehabilitation therapy. It was modeled in proportion to the actual size and Auto Desk Inventor was used to perform the 3D modeling work. The created 3D object was then implemented in C # through Unity5.6.2p4 based on LMC. After obtaining a wrist joint motion value, the motion was analyzed by 3D graph. Healthy subjects (23 males and 25 females, n = 48) were enrolled in this study. There was no statistically significant counting difference between conventional BBT and system BBT. This indicates the possibility of effective diagnosis and evaluation of hemiplegic patients post-stroke. We can keep track of wrist joints, check real-time continuous feedback in the implemented virtual space, and provide the basic data for an LMC-based quantitative rehabilitation therapy guide

2015 경제발전경험모듈화사업 : 1980년대 경제정책전환기의 재정안정화 정책

Chapter1 Inroduction Chapter 2 Fiscal Management and Associated Limits in the 1970s 1. Rapid Growth and Fiscal Expansion 2. Approach to Cover the Financial Deficit 3. Obsession with Growth-oriented Policies Chapter 3 Fiscal Stabilization Policies in the Transition Period 1. Fiscal Stabilization Policies of the Late 1970s 2. Stabilization Tools of the Government in the 1980s 3. Success of Fiscal Stabilization in the 1980s Chapter 4 Success Factors of Fiscal Stabilization in the 1980s 1. The Role of the Economic Planning Board (EPB) 2. The Role of the Supreme Leader 3. Communication with the Public Chapter 5 Implications Reference

Economic Effects of Regulatory Reform in Korea

This paper adapts the World Bank Regulatory Quality Index (RQI), which is produced annually to provide a better understanding of the effects of regulatory reforms, instead of the Production Market Regulation (PMR) indicators, which are published every five years. We find that 9.9 to 36.0 billion USD worth of regulatory cost could be reduced if the regulatory quality in Korea improves to the level of the OECD average considering that the total burden of regulation in Korea is estimated to range from 2.2 to 357.4 billion USD. The estimated reduction in the regulatory cost accounts for roughly 0.76 to 2.47% of Korea’s GDP in 2013, underscoring the importance of regulatory reforms for the Korean economy. This paper introduces a new method with which to examine the distribution of regulatory costs across different industries and firm sizes. This alternative method is largely consistent with the conclusions reached by other studies, specifically that small firms typically bear a disproportionate regulatory burden

Anchoring Effect of the Prosecutor’s Demand on Sentence: Evidence from Korean Sexual Crime Cases

The anchoring effect can be found when a decision shows cognitive prejudice towards the initial information given. Several studies have argued that such an effect is present even for judges in the courtroom. This paper seeks to find a relationship between judges’ decisions on penalty sentences and the sentences recommended by prosecutors. In this study, 2,773 actual court cases are considered in the analysis, and quantile regression is used to show that the sentencing decisions judges make are anchored by the recommendations of prosecutors. However, this reliance on recommendations differs according to the seriousness of the crime committed. Specifically, at the lowest penalty levels, a one-month increase in the prosecutors’ sentencing recommendation results in a 0.25-month increase in the judges’ sentence, while at the highest sentence level, the judges’ sentences increase by 0.78 months under an identical condition. The results of this research indicate the need to create more objective and clear sentencing guidelines in the future in an effort to mitigate the psychological pressure experienced by judges with regard to serious offences or heinous crimes