3차 PLL System에서의 Flicker Noise 분석

김형도,김경복,조형래 한국전자파학회 2000 한국전자파학회논문지 Vol.11 No.5

본 논문에서는 PLL 시스템의 보다 실제적 분석 모델인 3차 시스템을 통하여 저주파 대역에서 문제가 되는 flicker noise가 어떠한 양상을 나타내는가를 알아보려 한다. 3차에서 해석의 복잡성으로 수학적인 분석이 난해하지만 최적화 된 2차 필터를 통한 pseudo-damping factor의 도입으로 3차 시스템에서의 flicker variance의 해석이 용이하도록 시도하였다. 3차에서의 flicker variance의 수식적인 유도를 보이고 이를 2차 시스템에서 발생되는 flicker noise에 대한 variance와 비교하려 한다. In this paper, using third-order system of the PLL we'll analyze the aspect of flicker noise appearing troubles in the low frequency band. Since it is difficult to analyze mathematically flicker noise in the third-order system of the PLL, introducing the concept of pseudo-damping factor using the optimized second-filter has made an ease of the access of the flicker-noise variance. we'll show a numerical formula of flicker variance in the third-order system of the PLL which is compared with that of 1/f noise variance in the second-order system of the PLL.

Recurrent Auricular Keloids during Pregnancy

김형도,So-Min Hwang,Kwang-Ryeol Lim,Yong-Hui Jung,Sung-Min Ahn,Jennifer Kim Song 대한성형외과학회 2013 Archives of Plastic Surgery Vol.40 No.1

GPT-4 기반 제로샷 영화 리뷰 감성 분석

김형도 한국콘텐츠학회 2023 한국콘텐츠학회논문지 Vol.23 No.11

Sentiment analysis is the task of categorizing subjective information and emotional states based on personal experiences into positive or negative. It is used in various domains for targets such as reviews, articles, social media conversations, and more. Recently, there has been significant interest in large language models like GPT-4 to better align with user expectations for interactions with AI. However, objective performance results are not still sufficiently provided due to various practical constraints. While not reliable in some aspects, e.g. AI hallucination, GPT-4 has demonstrated the ability to perform various tasks such as sentence generation, summarization, classification, translation, and more at a high level. Therefore, there is a need to objectively compare and evaluate its performance in sentiment analysis. This paper compares the sentiment analysis capabilities of GPT-4 and some existing models in the field using a representative movie review dataset, together with some insights on considerations for utilizing GPT-4 in sentiment analysis. GPT-4 surpassed the existing models inclusive of XLNet in the metrics of accuracy, precision, F1 and AUC.

Possibility of Probing the Fermi Surface of a Heavy-Fermion System by Using Angle-Resolved Photoemission Spectroscopy

김형도 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.2

Numerical simulation results are presented to investigate whether it is possible to probe the Fermi surface (FS) of a heavy-fermion (HF) system with the experimental conditions of present state-of-the-art angle-resolved photoemission spectroscopy (ARPES) using synchrotron radiation. Since the dispersion of a HF band is one or two orders of magnitude smaller than the experimental energy resolution, conventional ARPES-intensity mapping at the Fermi level does not work, but its k-space gradient mapping can provide a FS much closer to the genuine one. If complications from non-4f conduction bands are to be removed, 4d(3d) → 4f resonant photoemission for a Ce-based HF system is quite essential. Numerical simulation results are presented to investigate whether it is possible to probe the Fermi surface (FS) of a heavy-fermion (HF) system with the experimental conditions of present state-of-the-art angle-resolved photoemission spectroscopy (ARPES) using synchrotron radiation. Since the dispersion of a HF band is one or two orders of magnitude smaller than the experimental energy resolution, conventional ARPES-intensity mapping at the Fermi level does not work, but its k-space gradient mapping can provide a FS much closer to the genuine one. If complications from non-4f conduction bands are to be removed, 4d(3d) → 4f resonant photoemission for a Ce-based HF system is quite essential.

印度紀行

김형도 새가정사 1949 새가정 Vol.- No.-

파렛트풀시스템을 이용한 물류공동정보시스템의 추진방향

김형도 한국물류협회 2001 물류혁신 컨퍼런스 Vol.9 No.2

Predicting Product Demands for Large-scale Chain Stores with FTRL-Proximal Linear Regression

김형도 한국정보기술학회 2017 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CON Vol.7 No.2

Demand prediction for large-scale chain stores is a large-scale learning problem. A solution for this kind of problems is the online learning used in areas of machine learning when it is computationally infeasible to train over the entire dataset. This paper proposes to apply an online learning algorithm, FTRL-Proximal, to an example demand prediction problem for large-scale chain stores published in an open competition. Experimental results show that the algorithm with some minor modification is better than the best single model published in the competition.

[자료 소개] 여수의 풍난을 겪고 와서

김형도 대한기독교서회 2022 基督敎 思想 Vol.766 No.-

해사판례 : 최신 영국 해운판례

김형도 한국해사문제연구소 1990 (月刊)海洋韓國 Vol.196 No.-

무한경쟁 시대의 손해보험산업 현황과 활로

김형도,정중영 대한경영학회 2004 大韓經營學會誌 Vol.17 No.2

There are times of changes-indeed, times of turbulence. Fundamental forces are at work which are creating profoundly different competitive environment and set of opportunities and threats for corporations around the world, and particularly in Korea. Korean general insurance industry is facing a lot of opportunities and challenges because of deregulation, technology innovation, and globalization. Significant change is underway in the Korean financial sector due to opening up the market to foreign players and other domestic financial services players, changing customer needs and technology shocks. This will change the competitive environment, profit opportunities and competitive requirements to win. Actually Korean general insurers has been reasonably successful in the past. To continue to be a winner in Korean insurance and financial services market, all players have to build a comprehensive view of likely future competitive landscape, and based on this understanding, a define a set of several strategic priority initiatives and execute against those. For this purpose, this paper first looks at the current trend of Korean domestic general insurance industry, then analyzes problems and opportunities of insurers and finally proposes a set of several strategic priority initiatives to success in the future. Some of the key competition factors are channel efficiency, price and product competition, customer management, and service efficiency. There are times of changes-indeed, times of turbulence. Fundamental forces are at work which are creating profoundly different competitive environment and set of opportunities and threats for corporations around the world, and particularly in Korea. Korean general insurance industry is facing a lot of opportunities and challenges because of deregulation, technology innovation, and globalization. Significant change is underway in the Korean financial sector due to opening up the market to foreign players and other domestic financial services players, changing customer needs and technology shocks. This will change the competitive environment, profit opportunities and competitive requirements to win. Actually Korean general insurers has been reasonably successful in the past. To continue to be a winner in Korean insurance and financial services market, all players have to build a comprehensive view of likely future competitive landscape, and based on this understanding, a define a set of several strategic priority initiatives and execute against those. For this purpose, this paper first looks at the current trend of Korean domestic general insurance industry, then analyzes problems and opportunities of insurers and finally proposes a set of several strategic priority initiatives to success in the future. Some of the key competition factors are channel efficiency, price and product competition, customer management, and service efficiency.