• Title/Summary/Keyword: 분산 방법

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Characterization of Deep Shear Wave Velocity Profiles in the Gimhae Plains Using the Microtremor Array Method (상시미동 표면파 분석에 의한 김해평야 퇴적층 심부 전단파 속도 결정)

  • Kim, Jae Hwi;Jeong, Seokho
    • Journal of the Korean Geotechnical Society
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    • v.38 no.8
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    • pp.17-27
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    • 2022
  • To characterize the dynamic properties of Gimhae Plains sediments, we calculated natural frequencies using microtremor horizontal-to-vertical spectral ratios and derived shear wave velocity profiles by inversion of Rayleigh-wave dispersion curves obtained by the high frequency-wavenumber and modified spatial autocorrelation methods. Our results suggest that in this region, strong amplification of ground motion is expected in the vibration frequency (f ≥ 1 Hz). Additionally, obtained velocity profiles show that shear wave velocities are ~200 and 400 m/s for the shallow marine and old fluvial sediments, respectively. Bedrock is possibly encountered at depths of 60-100 m at most sites. We developed a simplified shear wave velocity model of shallow sediments based on the obtained profiles. Our results suggest that a large area in the Gimhae Plains could be categorized as an S6 site based on the Korean seismic design code (KDS 17 10 00).

Effects of Blended Learning on Abilities to Use Smart-Phone and Applications among Students with Intellectual Disabilities (블랜디드 러닝이 지적장애 학생의 스마트 폰과 애플리케이션 사용 능력에 미치는 효과)

  • Lee, Tae-Su
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.215-222
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    • 2022
  • The purpose of this study was to analyze effects of blended learning on abilities to use smart-phone and applications among students with intellectual disabilities. To do this, 30 students with intellectual disabilities who were enrolled in special school and special classroom in Jellanam-do and Gwanju metropolitan city were selected for this study, and were placed experimental and control groups of 15 students. The experimental group was provided with blended learning in which direct instruction, anchored instruction, experience activities, and community-based instruction were combined, and the control group was provided with traditional teacher-centered lecture style intervention. Pre-, post-, and maintenance evaluations were conducted two weeks after intervention. The collected data was analyzed the repeated two-way ANOVA. In the result of study, the experimental group improved on abilities to use smart-phone and applications than control group. Blended learning is a teaching method that can be a usefully used when educating how to use smart-phone and applications to students with intellectual disabilities.

Differences in Consumption Patterns according to the Personality Types of Enneagram (에니어그램 성격유형에 따른 소비패턴 분석)

  • Song, Jieun
    • Journal of Advanced Technology Convergence
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    • v.1 no.1
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    • pp.25-31
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    • 2022
  • This study is a descriptive survey study conducted with the aim of analyzing differences in consumption patterns according to the personality types of the Enneagram and providing basic data that can be used for advertising and branding based on it. 43 people who explained the purpose of the study and agreed to participate were conveniently recruited. The research tools were investigated online with the type of personality of the Enneagram of Joo (2003) and the consumption pattern of Jeon (2013). The data analysis utilizes statistical methods such as descriptive statistics, frequency analysis, and one-way ANOVA in the IBM SPSS Statistics 23 program. For consumption patterns 1, 2, 3, and 6, there were statistically significant differences between personality types 1, 2, 3, 5, 7, and 9 (p<.050). Through this study, it was confirmed that consumption patterns vary depending on the type of personality of the Enneagram. The results of this study are expected to provide basic data in establishing effective strategies for branding and advertising of the design that consumers want.

Radiation Perception Analysis of Air Force Manpower Resources (공군 인력자원의 방사선 인식도 분석)

  • Jeong, Eun-Seok;Seoung, Youl-Hun
    • Journal of the Korean Society of Radiology
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    • v.16 no.4
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    • pp.463-470
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    • 2022
  • The purpose of this study was to investigate the perception of Air Force human resources (Civilian defense manpower, Officer, Noncommissioned officer, Solder) for the radiation perception. The subjects were 259 men and women who visited at the Aerospace Medical Center. As for the method, a survey study was conducted using a questionnaire with a total of 14 questions about radiation perception (risk, benefit, management). For statistical analysis, an independent sample T-test and one-way analysis of variance (ANOVA) were used to compare the average of confirm a significant difference among groups. The correlations between variables were tested with Pearson and Spearman correlation coefficients. As a result, in the air force human resources, perception of radiation risk of females had a significantly higher awareness than male. Radiation benefits had a significantly higher awareness among married people, military officers, officers, and non-commissioned officers. Radiation control was significantly higher in men, married men, and those with more than 16 years of military experience.

Utility Analysis of Federated Learning Techniques through Comparison of Financial Data Performance (금융데이터의 성능 비교를 통한 연합학습 기법의 효용성 분석)

  • Jang, Jinhyeok;An, Yoonsoo;Choi, Daeseon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.2
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    • pp.405-416
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    • 2022
  • Current AI technology is improving the quality of life by using machine learning based on data. When using machine learning, transmitting distributed data and collecting it in one place goes through a de-identification process because there is a risk of privacy infringement. De-identification data causes information damage and omission, which degrades the performance of the machine learning process and complicates the preprocessing process. Accordingly, Google announced joint learning in 2016, a method of de-identifying data and learning without the process of collecting data into one server. This paper analyzed the effectiveness by comparing the difference between the learning performance of data that went through the de-identification process of K anonymity and differential privacy reproduction data using actual financial data. As a result of the experiment, the accuracy of original data learning was 79% for k=2, 76% for k=5, 52% for k=7, 50% for 𝜖=1, and 82% for 𝜖=0.1, and 86% for Federated learning.

Estimation of design flood derived by regional frequency analysis (지역빈도분석에 의한 금강유역의 설계홍수량 산정)

  • Da Ye Kim;Seung Jin Maeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.104-104
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    • 2023
  • 최근 2017년 청주, 천안의 홍수, 2020년 용담댐 상류와 대청댐 상류의 홍수, 2022년 청주의 도시침수를 비롯한 서울 도심의 침수피해와 같은 홍수 발생은 지역의 국민들에게 막대한 재산상의 피해를 입히고 있다. 국가적 차원에서 치수의 목적을 달성하고 경제적으로 적절한 규모의 수리구조물을 설계하기 위해 하천의 주요지점에 대한 신뢰성 있는 설계홍수량의 제시는 반드시 필요한 현실에 직면해 있다. 특히 해당 지점의 수리시설물은 점빈도분석에 의한 설계홍수량을 적용하나, 관측자료가 없는 미계측 지점에 위치한 수리시설물은 지역빈도분석에 의한 설계홍수량을 산정하여 적용해야 한다. 이에 본 연구에서는 금강 유역을 대상으로 점빈도분석과 지역빈도분석에 의한 설계홍수량 결과를 비교·분석하고자 한다. 지역빈도분석을 위한 수위관측소의 선정은 금강유역 80개 수위관측소 중 장기간 연최대홍수량 자료가 있고 유량자료의 연결성 및 신뢰성이 확보된 46개수위관측소를 대상으로 하였다. 46개 수위관측소의 연최대홍수량 계열을 대상으로 동질성, 독립성 및 이상치 검정을 수행하였으며, 세 가지 검정 모두 적절한 수위 관측소 지점은 36개 지점으로 분석되었다. 36개 수위관측소의 기본통계치(평균, 표준편차, 분산, 왜곡도 및 첨예도)를 산정한 후 3변수 Gamma 분포 계열인 GEV, GLO, GPA의 확률 분포를 적용하였다. 확률 분포별 매개변수는 전산화를 통해 L-모멘트의 차수를 0~4까지 변화시켜 LH-모멘트법에 적용하였다. LH-모멘트법에 의해 산정된 확률 분포들의 매개변수를 적용하여 적합도 검정을 수행하였다. 지역빈도분석을 위해 36개 수위관측소를 K-Means clustering 방법을 통해 4개 지역으로 구분하였다. 이를 통해LH-모멘트의 적정차수와 확률 분포에 따른 점빈도분석(지점 대상)과 지역빈도분석(지역 대상) 결과인 설계홍수량을 산정하였으며, 점빈도분석과 지역빈도분석에 의해 산정된 설계홍수량간의 분석결과를 제시하였다. 본 연구를 통해 수리구조물 설계 시 안정적인 조건 제시 및 관리체계 구축에 기여하고 방재대책 수립 시 경제·사회적 요소를 반영한 합리적 방안을 제시하고자 한다.

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Analysis on the a Self Adaptive Crossover for Iterated Prisoner's Dilemma Game of Evolutionary Convergence (자기 적응형 교배기법을 이용한 반복적 죄수 딜레마 게임의 진화적 협동 수렴 분석)

  • Kim, Chan Joong;Lee, Jong-Hyun;Ahn, Chang Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.478-481
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    • 2010
  • 본 논문에서는 경제학, 사회학, 수학 분야에서 수십년 전부터 연구해오던 죄수의 딜레마 게임의 협동진화에 대해 고찰해보고자 한다. 반복적 죄수의 딜레마 게임은 게임이론의 가장 기본적인 이론으로써, 사회적 상호작용, 경제활동, 국제관계 등 다양한 현상들을 모델링 하기 위한 하나의 방법이다. 그 중에 N명이 참가하는 반복적 죄수 딜레마 게임의 전략은 유전 알고리즘(Genetic Algorithms, GAs)을 통해 진화적으로 만들어 낼 수 있으며, 이 경우에 그 결과를 일반적인 내쉬 균형 이 아닌, 모든 개체들이 유전알고리즘을 통해 협동으로 수렴하도록 유도할 수 있다는 사실은 상당히 시사하는 바가 크다. 기존에 주로 연구되어오던 죄수의 딜레마 게임은 협동으로의 수렴과정에서 일반적으로 순위기반선택(Rank-based selection)과 1점 교배기법(1point crossover)을 사용한다. 그러나 순위기반선택은 모든 개체에 순위을 매겨야 하기 때문에, 개체수가 커질수록 성능이 저하되며, 1점 교배기법은 개체 값이 분산되어있을 경우, 최적해(Optimal solution)을 찾기 힘들다는 단점이 있어, 개체수가 많은 경우에 적용하기에는 비효율적이다. 본 논문에서는 토너먼트 선택기법(Tournament selection)과 자기 적응형 교배기법(Self-adaptive crossover)을 적용한 새로운 기법을 제안한다. 또한 기존 기법과 비교 실험을 통해 제안기법이 기존기법에 비해 평균 수렴시간과 수렴 횟수에서 뛰어난 성능을 보이고 있음을 확인하였다.

Mobile Office Construction on a Geotechnical Information System (지반정보시스템 기반의 Mobile Office 구축)

  • Kim, Su-Young;Jung, Seung-Hyun;Kang, Yu-Jin;Cho, Wan-Sup
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.5
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    • pp.125-135
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    • 2010
  • Mobile office is becoming common as advances in mobile devices such as PDAs, Smart-phones, or wireless Internet. In this paper, we construct a mobile office environment on a geotechnical information system(GIS). Especially, web services and XML technology combined with SOA (service oriented services) are adopted for various types of mobile devices and services in a minimum cost. Web service and XML can provide an excellent SW reusability, extensibility, and interoperability even for heterogeneous distributed systems. Applications can exploit web services by just knowing server's address. Prototype system integrates a client in Visual Basic.Net and server in Java via the web services and XML data exchange. We verify effectiveness of the approach through the implementation of prototype system.

Detachable zirconia prosthesis using Milled bar and ADD-TOC attachment in partial edentulous mandible: A case report (하악 부분 무치악 환자에서 Milled-bar와 ADD-TOC 부착 장치를 이용한 탈착 가능한 지르코니아 보철물 수복 증례)

  • Min-Sung Sohn;Jung-Bo Huh
    • The Journal of Korean Academy of Prosthodontics
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    • v.61 no.1
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    • pp.90-99
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    • 2023
  • Implant overdentures are widely used as a treatment method to restore oral function in completely edentulous or partially edentulous patients with severe bone resorption. Using a milled bar, it is mechanically advantageous as the implant fixtures are splinted. Applying additional attachments to the bar has the advantage of dispersing the stress applied to the implant. In this case, a patient who used implant overdentures using 4 implants wanted to fabricate a new prosthesis due to repeated fractures of the denture and weakened retention. Milled bar with ADD-TOC attachment and zirconia prosthesis were fabricated by CAD-CAM method and mechanically and aesthetically satisfactory results were obtained.

A Study on Determination of VPP Cloud Charges (VPP 클라우드 요금 산정에 관한 연구)

  • Lim, Chung-Hwan;Kim, Dong-Sub;Moon, Chae-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.299-308
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    • 2022
  • Recent, energy transition policies are driving to increase in the number of small photovoltaic(PV) generators. It is difficult for system operators to accurately anticipate the amount of power generated from such small scale PV generation, and this may disrupt dispatch schedules and result in an increase in cost. The need for a Virtual Power Plant(VPP) is emerging as a way of resolving these problems, as it would integrate small-scale PV plants and eliminate uncertainty about the amount of power generated, control voltage, and provide power reserves. In this paper, the cost evaluation methods are described for determination of VPP cloud charges both Net Present Value(NPV) method and Profitability Index(PI) method, the calculated outcomes of the two types of cost evaluation methods are presented in detail. It seems we secure profitability as we get 1.22 of profitability index from calculation results, it may be attractive for the aggregator as NPV is enough for satisfying profitability.