• Title/Summary/Keyword: KIS

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The Bottleneck Factors of Innovative Activities in Korean Manufacturing Firms (한국 기업의 기술혁신 애로요인과 그 중요도 분석)

  • 서규원;이창양
    • Journal of Technology Innovation
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    • v.12 no.1
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    • pp.115-134
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    • 2004
  • In this paper, we tried to find the bottleneck factors of firms' innovative activities using the KIS (Korea Innovation Survey) 2002 data. Employing the method of factor analysis, we identified five bottleneck factors of innovative activities: organizational bottleneck factor, innovative bottleneck factor, economic bottleneck factor, supply-chain bottleneck factor, and market-environment bottleneck factor. Using regression analysis which includes the five bottleneck factors, industry characteristics variables (market concentration, technological opportunity, appropriability), and other control variables, we found (1) that all the five bottleneck factors are negatively related with innovative activities, (2) that technological opportunity and appropriability conditions are positively related with innovative activities, (3) that there is an inverted-U relationship between market concentration and innovative activities, and (4) that firm size has no significant influence on firms' innovative activities.

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Networks and Innovative Performance of the Korean Manufacturing Firms

  • Sung, Tae-Kyung
    • Proceedings of the Technology Innovation Conference
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    • 2005.08a
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    • pp.5-28
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    • 2005
  • This paper estimates the effect of networks on innovative performance at the firm level , using Korean Innovation Survey (KIS) dataset Product innovation, product improvement , and process innovation are used as proxies for innovative activity. The explanatory variables such as firm size, market concentration ratio, lagged profitability, foreign ownership, export ratio, firm's age, formal R&D activity, and industrial R&D intensity are yet other considerations. With two year-long (2000 and 2001) data from 1,124 Korean manufacturing firms, we estimated the logistic regression model. The research finding indicates that the external networks have a strong positive effect on innovative output regardless of type of innovation. However, the network effects by partner (other firms or research institutions) vary across the type of innovation. Especially, we found that the user-supplier linkage plays an important role in product ion innovation, product improvement, and process innovation.

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Energy Loading in the Metastable Native Structure of Inhibitory Serpins

  • Hana Im;Seo, Eun-Joo;Yu, Myeong-Hee
    • Proceedings of the Korean Biophysical Society Conference
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    • 1998.06a
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    • pp.23-23
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    • 1998
  • To understand structural and functional basis of loaded energy in the metastable native structure of inhibitory serpins (serine protease inhibitors), we characterized mutations that decreased the loaded energy of ${\alpha}$$_1$-antitrypsin and simultaneously influenced its inhibitory activity. Various folding defects such as side-chain locking, buried polar groups in unfavorable hydrophobic environment, and cavities were found as the structural basis of the metastability of ${\alpha}$$_1$-antitrypsin in a region presumably directly involved in the formation of complex between the inhibitor and a target protease.(omitted)

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A seasonal growth curve estimation for continuous spawning fishes (연속 산란 어류의 온도함수 성장곡선 추정)

  • Choi, Il-Su
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.5
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    • pp.903-910
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    • 2011
  • The von Bertalanffy growth function (VBGF) is the result of the antagonistic effects of anabolism and cataboliem. However VGBF has limitations for describing the growth of continuous spawning fishes. In the present work, a new equation is proposed where the growth parameter Kis substituted by a function related to the sea surface temperature of spawning period. Examples for natural population of Pacific Anchovy are presented.

Direct Control of a Passive Haptic Device Based on Passive Force Manipulability Ellipsoid Analysis

  • Changhyun Cho;Kim, Munsang;Song, Jae-Bok
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.238-246
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    • 2004
  • In displaying a virtual wall using a passive haptic device equipped with passive actuators such as electric brakes, unsmooth motion frequently occurs. This undesirable behavior is attributed to time delay due to slowness in the virtual environment update and force approximation due to the inability of a brake to generate torque in arbitrary directions. In this paper a new control scheme called direct control is proposed to achieve smooth display on the wall-following task with a passive haptic device. In direct control, brakes are controlled so that the normal component of a resultant force at the end-effector vanishes, based on the force analysis at the end-effector of the passive haptic device using the passive FME (Force Manipulability Ellipsoid). Various experiments have been conducted to verify the validity of the direct control scheme with a 2-link passive haptic system.

OPTIMAL PORTFOLIO SELECTION UNDER STOCHASTIC VOLATILITY AND STOCHASTIC INTEREST RATES

  • KIM, MI-HYUN;KIM, JEONG-HOON;YOON, JI-HUN
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.19 no.4
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    • pp.417-428
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    • 2015
  • Although, in general, the random fluctuation of interest rates gives a limited impact on portfolio optimization, their stochastic nature may exert a significant influence on the process of selecting the proportions of various assets to be held in a given portfolio when the stochastic volatility of risky assets is considered. The stochastic volatility covers a variety of known models to fit in with diverse economic environments. In this paper, an optimal strategy for portfolio selection as well as the smoothness properties of the relevant value function are studied with the dynamic programming method under a market model of both stochastic volatility and stochastic interest rates.

An efficient algorithm to measure the insurance risk of casuality insurance company using VaR methodology

  • Ban, Joon-Hwa;Hwang, Hyun-Cheol;Ki, Ho-Sam
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.16 no.2
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    • pp.137-149
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    • 2012
  • We propose an efficient method to measure the insurance risk of causality insurance companies by using the CreditRisk+ methodology. This method is superior to previous methods in several aspects. Its computation speed is very fast and the input data form is simple. It is able to aggregate both credit risk and insurance risk, so the insurance company can manage the risk in combined manner. In this paper, we propose a mathematical method to obtain the aggregate loss distribution of portfolios having correlation among products or business lines as a general case, and then suggest its implementation algorithm. Finally we apply this method to the real data from Korea Insurance Development Institute (KIDI) and discuss its availability to real applications.

SUNRISE: The Mission and Selected Science Results

  • Solanki, Sami K.;the Sunrise Team, the Sunrise Team
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.85.1-85.1
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    • 2011
  • The magnetic field at the surface of the Sun is concentrated in magnetic features that often have spatial extents of 100 km or less. The study of the fine scale structure of the Sun's magnetic field has been hampered by the limited spatial resolution of the available observations. This has recently changed thanks to various new high-resolution facilities, among them the SUNRISE observatory, built around the largest solar telescope to leave the ground, and containing two science instruments. SUNRISE successfully had its first long-duration science flight on a stratospheric balloon in June 2009 and a host of scientific results have been obtained from the data. After a brief introduction to the Sunrise mission, an overview of selected results obtained so far will be given. A reflight at higher solar activity is currently being prepared.

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Forecasting Innovation Performance via Deep Learning Algorithm: A Case of Korean Manufacturing Industry (빅데이터 분석방법을 활용한 제조업 혁신성과예측 방법에 대한 연구 : 딥 러닝 알고리즘을 중심으로)

  • Hwang, Jeong-jae;Kim, Jae Young;Park, Jaemin
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.499-510
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    • 2017
  • 기술혁신에는 본질적인 어려움이 따르는데, 이는 상당부분 기술이 지닌 불확실성에 기인한다. 따라서 혁신 추구의 어려움을 경감에는 혁신 예측 방법론이 큰 도움이 될 수 있다. 한편 최근 빅데이터와 인공지능에 큰 관심이 이어지며 특히 알파고의 알고리즘 중 하나인 딥 러닝이 뛰어난성능을 보이고 있다. 이에 본 연구는 혁신성과 예측에 있어 딥 러닝을 이용한 방법론을 접목하여 연구를 진행하였다.. 모델 구축 및 학습에 있어 KIS 2016 데이터를 이용하였으며, 투입 요인으로는 정보 원천의 사용도와 혁신 목적을 사용하였고 산출 요인으로는 혁신 성과 지표를 구성하여 사용하였다.

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Quartz crystal Microbalance(QCM)-based Immunosensor for the Determination of LDL(Low-Density Lipoprotein)

  • Kim, Sang-Hyun;Yoon, Hyun-Chul;Kwak, Joo-Won;Kim, Hak-sung
    • Proceedings of the Korean Biophysical Society Conference
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    • 1996.07a
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    • pp.44-44
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    • 1996
  • Immunoserisor for the determination of LDL(Low-Density Lipoprotein) was developed by using quartz crystal microbalance(QCM) system. LDL is known to be a good indicator for the diagnosis of atherosclerosis and hypercholesterolemia. The immunosensor consists of four parts; detection cell, oscillating circuit, oscilloscope, and frequency counter, and this was interfaced with personal computer for signal processing. (omitted)

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