• Title/Summary/Keyword: auto insurance

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Comparison of Clinical Outcomes in ACL Reconstruction using auto-Hamstring Tendon and allo-Tibialis Anterior Tendon (자가슬괵건 및 동종전경골건을 이용한 전방십자인대 재건술 후 임상적 결과의 비교)

  • Kim, Jae-Hwa;Lee, Yoon-Seok;Rhee, Seung-Yong;Chung, Ju-Hwan
    • Journal of the Korean Arthroscopy Society
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    • v.11 no.2
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    • pp.104-110
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    • 2007
  • Purpose: The purpose of this study is comparison of clinical outcomes in ACL reconstruction between auto-hamstring tendon and allo-tibialis anterior tendon. Materials and Methods: In this prospective study, we included 60 subjects who underwent ACL reconstruction using 30 hamstring autograft(mainly, national health insurance) and 30 tibialis anterior allograft(including MVA and industrial injuries) between May 2003 and June 2005 by a single surgeon, with a minimum follow-up of 12 months. Outcome measurements were the range of motion, the Lachman test, the IKDC score, the Lysholm score, KT-1000 arthrometer and one-leg hop test. Results: For all the cases, the range of motion was above 135 degrees. The Lachman test, KT-1000 arthrometer and one-leg hop test showed no significant difference between two groups. The IKDC score of auto-hamstring group($87.840{\pm}2.106$) was significantly higher than that of allo-tibialis anterior group($85.273{\pm}2.782$). The Lysholm score of auto-hamstring group($88.067{\pm}2.586$) was also significantly higher than that of allo-tibialis anterior group($85.300{\pm}3.030$). Conclusion: The results of ACL reconstruction using the auto-hamstring tendon and allo-tibialis anterior tendon showed no significant difference in objective items but auto-hamstring group showed better results in subjective scoring. This difference may result from individual factors such as economic problem, secondary gain.

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A Study on the Prediction of Mortality Rate after Lung Cancer Diagnosis for Men and Women in 80s, 90s, and 100s Based on Deep Learning (딥러닝 기반 80대·90대·100대 남녀 대상 폐암 진단 후 사망률 예측에 관한 연구)

  • Kyung-Keun Byun;Doeg-Gyu Lee;Se-Young Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.2
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    • pp.87-96
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    • 2023
  • Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specific conditions. In this study, in order to generalize the research results, patients were further expanded and subdivided to derive the results of a study predicting mortality after lung cancer diagnosis for men and women in their 80s, 90s, and 100s. Using AutoML, which provides large-scale medical information and various deep learning algorithms from the Health Insurance Review and Assessment Service, five algorithms such as Decision Tree, Random Forest, Gradient Boosting, XGBoost, and Logistic Registration were created to predict mortality rates for 84 months after lung cancer diagnosis. As a result of the study, men in their 80s and 90s had a higher mortality prediction rate than women, and women in their 100s had a higher mortality prediction rate than men. And the factor that has the greatest influence on the mortality rate was analyzed as the treatment period.

The Environmental Impact of Automobiles on Sustainable Urban Transportation (자동차가 환경적으로 지속가능한 도시교통에 미치는 영향)

  • Lee, Sang Hoon
    • Journal of Environmental Impact Assessment
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    • v.7 no.1
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    • pp.109-116
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    • 1998
  • As of July 1997, the registered number of automobiles exceeded 10 million and Korean auto industry produced 2,850,000 cars. Many environmentalists warn that the passenger cars are not sustainable urban transportation system in large cities. The cars produce about 80% of air pollutants, and consume 30% of petroleum imported. For the past 30 years the administration increased the road system, but the length of road per car is decreased from 813m in 1965 to 9m in 1995. The cost of traffic congestion was estimated to be \14.7 trillion in 1996, and is feared to increase without changing the present transportation system. The undesirable impact of cars include the casualties from traffic accidents, insurance loss, and separation of human relatioships. To construct sustainable urban transportation system, three principles should be followed. The first principle is to make the urban streets walkable for the people. The second principle is to encourage bicycling. Roads and traffic systems should be designed to let bicylces travel safely. The third principle is to supply more buses and construct integrated transportation system based on buses. The subway system is too expensive to construct and without the support of a well-organized bus system it may not work efficiently. The Brazilian city of Curitiba has constructed a very efficient bus system only with 1/80 of the estimated cost of subway system. The car-oriented transportation system does not seem to be an envrironmentally sustainable transportation system in most of the Korean cities.

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Suppression for Logistic Regression Model (로지스틱 회귀모형에서의 SUPPRESSION)

  • Hong C. S.;Kim H. I.;Ham J. H.
    • The Korean Journal of Applied Statistics
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    • v.18 no.3
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    • pp.701-712
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    • 2005
  • The suppression for logistic regression models has been debated no longer than that for linear regression models since, among many other reasons, sum of squares for regression (SSR) or coefficient of determination ($R^2$) could be defined into various ways. Based on four kinds of $R^2$'s: two kinds are most preferred, and the other two are proposed by Liao & McGee (2003), four kinds of SSR's are derived so that the suppression for logistic models is explained. Many data fitted to logistic models are generated by Monte Carlo method. We explore when suppression happens, and compare with that for linear regression models.

A Study on the functional Charaterictics of Apparel CAD Systems (어패럴 CAD 시스템 기능적 특성에 관한 연구)

  • 조진숙
    • Journal of the Korean Home Economics Association
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    • v.35 no.5
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    • pp.249-264
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    • 1997
  • The purpose of this study was to provide the reference information for user and potential users of apparel CAD system is Korea. Two interviews were carried out for the study. The apparel CAD system of Assyst, Gerber and Yuka was selected for technical comparative study. The results were as follows: 1. The future development of the apparel CAD system is the transfer of the developed pattern design from a 3D design system and of CIM concept. 2. The share of data is working closely in a module function. So the Assyst system provide connectivity and communication between all apparel CAD system's module and other automation programs. This system is suitable for CIM production line. 3. The Gerber system is developed the Apparel CAD system which is given by the CAM system's technical ability. This system is given high insurance of ability to the service and data transportation with other systems from users in the Korea. 4. The Yuka system is developed pattern making by the Apparel CAD system. This system's different methods which is compared with other systems are the split grading and auto pattern making. So this system is suitable for users which want to product many items and a little amount garment by using the Apparel CAD system.

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Design for Automation System for Pharmaceutical Prescription Using Arduino and Optical Character Recognition

  • Lim, Myung-Jae;Jung, Dong-Kun;Kim, Kyu-Dong;Kwon, Young-Man
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.66-71
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    • 2021
  • Recent healthcare environments have characteristics of expanding the scope of healthcare-impacting healthcare, complexity resulting from diversification of components, and accelerating the pace of change. Drugs are used for the prevention, mitigation, and treatment of diseases, so they can inevitably cause harm, while they have efficacy and effectiveness, which are key elements of health recovery. Therefore, many countries regulate permits for safe and effective medicines, and also designate essential drugs directly related to life as pay targets and guarantee health insurance. Especially Pharmacist relying on manpower for composition medicine is liable for mal-manufacture due to combination of toxic medical substances or other chemical usage. In this paper, we focus on using Kiosk and Optical Character Recognition (OCR) for automated pharmacy to level up medical service and create labor friendly environment for pharmacist themselves through maintenance of prescription data and automated manufacturing solution. Presentation of drug substances and precautions will lead to efficient drug prescription and prevent misuse of information while auto manufacturing system efficiently maintain labor force and raise patient satisfaction level by reduction of waiting time.

Legal System of Autonomous Driving Automobile and Status of Autonomous Driving Automobile Laws at Home and Abroad (자율주행자동차의 법률체계와 국내외 자율주행자동차 법제 현황 -산업 활성화를 중심으로-)

  • An, Myeonggu;Park, Yongsuk
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.53-61
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    • 2018
  • Recently 4th Industrial Revolution era has come up and autonomous vehicle gets a huge attention for its commercialization as well as development. To this end, many countries such as US, UK, Germany are looking into laws and policies related to autonomous vehicle making a new law system, laws, policies or at least modifying the existing ones. Korea is also facing commercialization and development of autonomous vehicle yet it's law system, laws and policies are far beyond comparing to those of advanced countries. This paper details current law system comparison of several countries providing differences and characteristics for the purpose of success of auto drive vehicle industry. On top of that we suggest a new law system, laws and policies and then provide directions as steps for mature implementation. In addition, we discuss how the new laws and policies can bring out successful commercialization as well as industrial success of autonomous vehicle at the points of consumers, vehicle makers, insurance companies, and government.

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Real-time Integrity for Vehicle Black Box System (차량용 블랙박스 시스템을 위한 실시간 무결성 보장기법)

  • Kim, Yun-Gyu;Kim, Bum-Han;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.6
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    • pp.49-61
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    • 2009
  • Recently, a great attention has been paid to a vehicle black box device in the auto markets since it provides an accident re-construction based on the data which contains audio, video, and some meaningful driving informations. It is expected that the device will get to promote around commercial vehicles and the market will greatly grow within a few years. Drivers who equips the device in their car believes that it can find the origin of an accident and help an objective judge. Unfortunately, the current one does not provide the integrity of the data stored in the device. That is the data can be forged or modified by outsider or insider adversary because it is just designed to keep the latest data produced by itself. This fact cause a great concern in car insurance and law enforcement, since the unprotected data cannot be trusted. To resolve the problem, in this paper, we propose a novel real-time integrity protection scheme for vehicle black box device. We also present the evaluation results by simulation using our software implementation.

Interdependence of the Asia-Pacific Emerging Equity Markets (아시아-태평양지역 국가들의 상호의존성)

  • Moon, Gyu-Hyun;Hong, Chung-Hyo
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.151-180
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    • 2003
  • We examine the interdependence of the major Asia-Pacific stock markets including S&P 500, FTSE 100, Kualar Lumpur Composite, Straits Times, Hang Seng, NIKKEI 225 and KOSPI 200 from October 4, 1995 to March 31,2000. The analysis employs the vector-auto-regression, Granger causality, impulse response function and variance decomposition using daily returns on the national stock market indices. The findings in this paper indicate that the volatilities of all countries has grown after IMF crisis, while there is no significance in cointegration test of both total period and sub-periods. This result implies that investors are able to get abnormal returns by investment diversification according to the portfolio theory. We find that while the effect from NIKKEI 225 to others is relatively weak, the interdependence from S&P 500 to other countries is strong. Also we find that the strong effect from Straits Times to Hang Seng exists. This study suggests that there is slight feedback relation between KOSPI 200 and Kualar Lumpur Composite, Straits Times, Hang Seng stock market.

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