아리스토텔레스 행복론의 철학상담적 함의 -실천적 지혜를 중심으로-

김진아 ( Kim¸ Jin-ah ) 한국가톨릭철학회 2017 가톨릭철학 Vol.0 No.28

행복(eudaimonia)에 대한 서양고대철학의 관점은 우리의 이성(logos)을 어떻게 하면 제대로 사용할 것인가를 주축으로 한다. 이 논문에서 주장하고자 하는 철학상담적 행복론은 치료적 접근의 힐링(healing)논의가 아닌 서양고대철학의 전통에서 중요하게 다루어진 올바른 이성(orthos logos)에 관한 논의이다. 최근 들어 부각되고 있는 인문학에 대한 관심과 인간 삶의 궁극적 목적이라 할 수 있는 행복의 주제는 어떠한 관련이 있을까? 이 논문에서는 아리스토텔레스의 실천적 지혜를 통해 진정한 행복에 도달할 수 있는지 인간의 탁월성 발휘의 측면에서 그러한 가능성을 확인하고자 시도하였다. 이를 위한 기초작업으로 본 논문은 실천적 지혜의 개념을 철학상담의 주제로서 새롭게 해석해 보았다. 아리스토텔레스의 행복을 현대적으로 분석하면, 고통스럽고 어려움에 처한 인간이 할 수 있는 최선의 일은 이성의 발휘를 통해 적극적으로 삶을 성취하는 것이다. 현대인들은 부나 명예에 대한 과도한 욕망, 분노나 질투 등의 감정, 몸의 질병으로 겪는 고통뿐만 아니라 세계관 내지 신념들 즉 자신의 고유한 생각들로 인해 고통을 경험하기도 한다. 진정한 행복의 성취를 위해서는 실천적 지혜를 활용하여 사유를 풍부하게 수정해 나가는 일이 필요하다. 올바른 이성인 실천적 지혜를 발휘할 때에 인간이 진정한 행복에 도달할 수 있다고 본 논문은 주장한다. Western classical philosophy took a perspective of eudaimonia around how to make the right use of logos. This study set out to maintain that the philosophical counseling-based eudaimonia theory beyond healing in the therapeutic aspect should offer discussions about orthos logos that was dealt with importantly in the tradition of Western classical philosophy. How is the interest in humanities, which is highlighted in recent years, related to the topic of eudaimonia that is the ultimate purpose of human life? The present study demonstrated that human beings could achieve true eudaimonia through phronēsis, a concept by Aristoteles, by exercising aretē. The basic work for the study was the new interpretation of phronēsis as a topic of philosophical counseling. When analyzed in the modern sense, eudaimonia of Aristoteles suggests that the best thing that human beings can do in pain and difficulty is to achieve an active life by exercising logos. Modern people suffer because of their world views and beliefs or their own ideas as well as their excessive desire for wealth and honor, emotions such as anger and jealousy, and physical illness. People need to revise and enrich their incomplete ideas further with phronēsis in order to achieve eudaimonia. In the end, they can reach the state of true eudaimonia only when exercising phronēsis that is orthos logos.

Visualizing Marine Environmental Changes to the Saemangeum Coast

Jinah Kim,Jinah Park IEEE 2012 IEEE computer graphics and applications Vol.32 No.6

<P>The Saemangeum Coast, located on the west side of the Korean peninsula, is undergoing a 30-year land reclamation project involving approximately 40 kilohectares. Because this project will drastically change the marine environment, monitoring and analyzing the water quality and marine life forms are necessary. However, the observation data are accumulating past the terabyte level, and the simulation data based on that data are also growing. Moreover, the gathered data are heterogeneous, and combining the datasets is often critical for gaining a better understanding of the environmental situation and for making predictions and decisions. A new visual-analytics tool for analyzing this situation fuses geographic-information-system data with ocean environmental data. It has three main components: data collection, geoprocessing, and data visualization. Researchers have used it to monitor and analyze changes in water quality, zooplankton distribution, and seabed topography.</P>

해양환경자료의 서비스를 위한 웹 기반 정보시스템

김진아(Jinah Kim),박광순(Kwangsoon Park),권재일(Jaeil Kwon),박진아(Jinah Park) 한국정보과학회 2011 정보과학회 컴퓨팅의 실제 논문지 Vol.17 No.12

해양환경정보란 국가기관, 산업체, 일반국민 등의 수요자가 각종 해양활동을 하거나 해양에서의 문제해결을 위해 필요한 해양의 현황과 미래에 대한 예측정보를 말한다. 이는 크게 해양에서 다양한 방법을 통해 관측되는 현재의 바다상태에 대한 현황자료와 수치모델링을 통해 계산되어 지는 미래의 예측 자료로 분류된다. 이러한 자료는 기본적으로 위도?경도?수심의 위치좌표와 이에 매핑되는 관측 및 예측값으로 이루어져 있으며 대용량의 연속적인 다차원, 다변수의 시?공간적 분포 특성을 갖는다. 이러한 자료들은 우리나라 전 연안에 걸쳐있어 그 양이 방대하고 종류가 다양하며 수집되는 방식, 자료형태 등이 모두 상이하기 때문에 쉽게 접근하기 어렵고, 더욱이 해양관련 전문가가 아니라면 해양의 복합적인 현상을 이해하고 해석하기 힘들다. 따라서 본 논문에서는 각종 해양환경자료를 수집-처리-저장(DB 구축)-가공(공간처리)-표출 등의 일련의 자료처리를 통한 웹 기반 정보시스템을 구축하였으며, 나아가 서비스되는 정보에 대한 시?공간 분석과 정보간 교차분석, 정보검색 등의 기능 구현을 통해 단순 정보전달에서 해양에서의 복잡한 현상이해 및 문제해결, 의사결정 등을 위한 도구를 제공하고자 한다. Ocean/coastal environmental information is the current status and forecasted ocean and coast information required to support ocean activities and solve ocean-related problems in government agencies, industries and general public. It can be largely classified current status by in-situ ocean observation and predicted forecast by numerical modeling about the sea state. These data consist of positional information of latitude, longitude and depth and mapped observation and prediction values to each position and have some properties such as tremendous multi-dimensional multi-variate spatio-temporal data. It"s hard to understand and interpret the complex phenomenon unless you are an expert because these data exist on around of whole Korea coastal areas so the data volume is so big and ways of data collection and data types and properties are so variety and heterogeneous. Therefore, in this paper, we implemented web-based information system for whole series of collection-processing-storage (database)-geo-spatial processing-scientific visualization process for service of ocean/coastal environmental information. Moreover, by implementing spatio-temporal and cross-relational analysis and information query functions, we try to help to understand complex oceanic process, solve ocean-related problems and support the decision making over simple information providence.

A statistical model for computing causal relationships to assess changes in a marine environment

Kim, Jinah,Park, Jinah BioOne (Coastal Education and Research Foundation) 2013 JOURNAL OF COASTAL RESEARCH Vol.65 No.-

<P>In order to manage sustainable coastal development, it is essential to identify the causal relationships among observation parameters that reveal the changes in the marine environment in a quantitative manner. On the Saemangeum coast, a land reclamation project by constructing sea dike has been underway since 1991. To monitor and assess the changes in the marine environment due to the project, the states of the ocean's physics and circulation, water quality, marine geology, and the marine ecosystem have been measured through the integrated ocean observation networks. In this paper, the observed data are statistically investigated with regard to observed and latent variables, in order to identify their causal relationships and compute the degrees of their influence. We performed a multivariate statistical analysis using a structural equation model based on oceanographic theory using the monthly mean observed data. As a result, 15 principal components were extracted and the statistical model was obtained by estimating the standardized regression coefficients of the observed variables and the latent variables, as well as those between the latent variables. The statistical model was applied to both the inner reclaimed area and the outer sea area individually to verify the model quantitatively how well it explains the changes of marine environment due to the blocking of seawater exchange in the inner reclaimed area comparable to the outer sea area separated by the sea dike. Our results show that the proposed statistical approach is quite suitable for understanding phenomena in ocean science that occur causally by identifying theoretically-known causal relationships quantitatively. By predicting the various impacts on environmental changes in advance through the quantitative estimation of a statistic model, we can prepare appropriate countermeasures or alternatives for preserving and protecting the environment, whose vulnerability is an inevitable result of such development. In this respect, our study can be effectively utilized as a tool for coastal management, policy-making, and planning.</P>

Web-GIS 기반 폭풍해일 시각화 기법 연구

김진아(Jinah Kim),박광순(K.S. Park),권재일(Jaeil Kwon),박진아(Jinah Park) 한국정보과학회 2008 한국정보과학회 학술발표논문집 Vol.35 No.1

최근 지구온난화로 인한 기후변화 및 해양온난화로 태풍의 강도가 높아지고 빈도가 증가함에 따라 연안 지역의 침수범람과 같은 자연재해로 인한 인명 · 재산 피해가 심각해지고 있다. 이에 폭풍해일로 인한 연안 재해저감을 위한 해양 관측 및 수치 모델을 통한 정확한 폭풍해일 예측에 대한 연구가 활발히 진행되고 있다. 따라서 본 논문에서는 Web-GIS 기반 실시간 폭풍해일 예측 결과의 시각화 기법에 대한 연구를 통하여 자연재해 저감을 위한 효과적 정보전달 통한 의사결정에 도움을 주고자한다.

웹 서비스 기반 GIS 연동 폭풍 · 해일 시각화 시스템 개발

김진아(Jinah Kim),박진아(Jinah Park),박광순(K. S. Park),권재일(Jaeil Kwon) 한국정보과학회 2008 정보과학회 컴퓨팅의 실제 논문지 Vol.14 No.9

최근 지구온난화 및 해수면 상승으로 인한 태풍의 내습빈도와 강도의 증가로 태풍 내습시 연안지역의 침수·범람과 같은 자연재해로 인한 국민의 재산과 인명 피해가 급증하고 있다. 이에 폭풍·해일예측을 위한 수치모델의 수립과 개선을 통하여 해일의 높이 및 발생시간, 해일로 인한 침수·범람 지역을 보다 과학적으로 정확하게 예측하려는 연구가 활발히 진행되고 있다. 따라서 본 논문에서는 이러한 예측결과를 일반 국민들에게 보다 효과적으로 전달하여, 연안재해로 인한 피해를 예방하기 위하여 웹 서비스 기반 GIS 연동 폭풍·해일 시각화 시스템을 개발하였다. 또한 수치모델의 정확한 예측결과 및 연안지역의 정밀 지리정보 구축을 위하여 LiDAR 자료를 이용한 GIS 기반 육도-해도 접합을 통한 연안지역 정밀해상도의 DEM을 생성하였다. Natural disaster such as inundation due to the typhoon induced storm-surge has inflicted severe losses on the coastal area. The problem of global warming and sea surface rising has issued and thus influences the increase of frequency and potential power of storm-surge. What we can do is to make intelligent effort to predict and prevent the losses through the early warning and prevention activity from the accurate prediction and forecasting about the time-varying storm-surge height and its arriving time resulted from the numerical simulation with sea observations. In this paper, we developed the web service based GIS-Enabled storm-surge visualization system to predict and prevent the storm-surge disasters. Moreover, for more accurate topography around coastal area and fine-grid storm-surge numerical model, we have accomplished GIS-based coastal mapping through LiDAR measurement.

Bayesian structural equation modeling for coastal management: The case of the Saemangeum coast of Korea for water quality improvements

Kim, Jinah,Park, Jinah Elsevier 2017 Ocean & coastal management Vol.136 No.-

<P><B>Abstract</B></P> <P>The data-driven paradigm is widely used in ocean science and includes the statistical modeling of various phenomena in coastal marine environments and data assimilation in numerical models. One of the most important challenges in the data-driven paradigm is finding the model that best approximates the underlying mechanism of a phenomenon with measurement data. In this paper, we propose a Bayesian approach to modeling coastal marine environments using ocean observational data, and we apply it to the Saemangeum coast. There are two main advantages to the Bayesian method: domain knowledge can be encoded to prior probability, and Markov-chain Monte Carlo simulation can be used in model estimation and inference. We apply the method to estimate model parameters and predict coastal water quality and sea current for maintaining optimal coastal water quality. The threshold quantity of sea current is computed to ensure sustainable coastal development. One of the interesting results we have obtained is a flat plateau relationship between the sea current for water exchange and the level of improvement of coastal water quality. This means that coastal water quality is not always being improved, even if the amount of water exchange is increased. The computed results are in good agreement with oceanographic theory, while showing a valid difference compared to the results using the frequentist approach and probabilistic inference using the probabilistic graphical model. These results will be helpful in coastal water quality management, ultimately contributing to sustainable coastal development.</P>

박판 스플라인 기법을 이용한 볼륨 데이터의 3 차원 비강직 정합

김진아(Jinah Kim),박진아(Jinah Park) 한국HCI학회 2005 한국HCI학회 학술대회 Vol.2005 No.1

High Performance Triboelectric Nanogenerator Based on Ultrastretchable Composite Electrode

Jinah Kim,Hyosik Park,Giyong Kim,Ju‑Hyuck Lee,Jinhyoung Park,Sung Yeol Kim 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.6

Recently, stretchable triboelectric nanogenerators have attracted considerable attention as sustainable energy sources for emerging sensors and electronic applications. In this study, we fabricated a high-performance triboelectric nanogenerators (TENG) (SRC-TENG) with excellent stretchability based on a composite electrode composed of a silicone rubber and carbon nanotube (CNT). Our SRC-TENG is capable of 800% elongation and is structurally simple, robust, and easy to fabricate. Moreover, it exhibits excellent performance and delivers a maximum output of 3.52 W/m2 at 100 MΩ, which is comparable to or even higher than those of most ultrastretchable TENGs reported. Furthermore, the output performance of the SRC-TENG is enhanced by optimizing the thickness of the composite in the range of 500–3000 μm. This increase was due to the increase in the interfacial area between the dielectric material and CNTs and the enlargement of the contact area. The fabricated SRC-TENGs show relatively high output performance even in their stretched state (e.g. less than ~ 30% decrease at 200% elongation) and demonstrate excellent long-term stability under a continuous loading of 50,000 cycles. We believe that our design principle for developing a high-performance TENG based on a composite electrode can be further expanded to other combinations of tribomaterials for various applications.

Extracellular Matrix-derived Printable Biomaterials for Engineering Physiomimetic Human Tissues

Jinah JANG 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10

3D bioprinting is a pioneering technology to facilitate the recapitulation of unique features of complex human tissues and organs with high process flexibility and versatility. Bioinks, combinations of printable hydrogel and cells, can be utilized to create 3D cell-printed constructs. The bioactive cues of bioinks directly trigger cells to induce tissue morphogenesis and improve maturation process. Among the various printable hydrogels, the tissue- and organ-specific decellularized extracellular matrix (dECM) can exert synergistic effects in supporting various cells at any component by facilitating specific physiological properties. Recently, the controlling matrix stiffness has been demonstrated to have profound effect on regulating cancer cell behavior. In addition, the replicates created by printing cell-laden dECM hydrogels can provide the multi-drug high-throughput testing platform. Combined with mimicking pathophysiological reaction in the printed tissue models, printed organoids and human tissues could serve as an enabling platform for studying complex physiology in tissue and organ contexts of individuals.