• Title/Summary/Keyword: the common science

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COMMON FIXED POINT THEOREMS FOR CONTRACTIVE TYPE MAPPINGS AND THEIR APPLICATIONS IN DYNAMIC PROGRAMMING

  • Liu, Zeqing;Wang, Lili;Kim, Hyeong-Kug;Kang, Shin-Min
    • Bulletin of the Korean Mathematical Society
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    • v.45 no.3
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    • pp.573-585
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    • 2008
  • A few sufficient conditions for the existence and uniqueness of fixed point and common fixed point for certain contractive type mappings in complete metric spaces are provided. Several existence and uniqueness results of solution and common solution for some functional equations and system of functional equations in dynamic programming are discussed by using the fixed point and common fixed point theorems presented in this paper.

Analysis of Multiple Life Insurance using Copula and Common Shock (코퓰라와 커먼-쇽을 이용한 연생상품의 분석)

  • Kim, Doyoung;Lee, Issac;Lee, Hangsuck
    • The Korean Journal of Applied Statistics
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    • v.27 no.7
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    • pp.1097-1114
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    • 2014
  • Multiple-life policies pay a benefit on the first death or the last death among the group of lives. In practice, the future lifetime random variable of policy holders has been considered to be independent, but it is more rational to take into account the correlations among the policy holders. In this paper, the Gaussian copula is applied to re ect the correlations among policy holders and then to diversify the common shock of the multiple life policies which follows an exponential distribution. Five case studies demonstrate its usefulness of using copula in calculating the premiums of the multiple-life policies including the common shock.

Comparative Study on Feature Extraction Algorithms for EEG Based Brain-Computer Interface (뇌전도 기반 뇌-컴퓨터 인터페이스의 특징 추출 알고리즘 비교 연구)

  • Cho, Ho-Hyun;Ahn, Min-Kyu;Jun, Sung-Chan
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06a
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    • pp.142-145
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    • 2011
  • 뇌전도 기반 뇌-컴퓨터 인터페이스 기술은 신체 움직임이 불가능하거나 불편한 사람에게 새로운 의사전달 수단이 될 수 있으며 일반인에게도 상상만으로 컴퓨터 혹은 기계에 명령을 내릴 수 있게 하는 기술이다. 본 논문에서는 뇌-컴퓨터 인터페이스 연구 분야에 잘 알려진 Common Spatial Pattern (CSP), Invariant Common Spatial Pattern (iCSP) 그리고 Common Spatio-Spectral Pattern (CSSP) 알고리즘들의 성능을 비교 분석하였고, CSSP에 불변성(invariant)을 고려한 iCSSP를 제안하였다. 9명의 피험자로부터 상상움직임 실험을 통해 18셋의 뇌전도 데이터를 측정하였고, 4가지 알고리즘들을 성능 면에서 비교하였다. 그 결과 CSSP의 성능과 차이가 크지는 않지만, 본 연구에서 제안한 노이즈를 고려하여 최적의 필터를 구성하는 iCSSP에 대하여 더 나은 성능을 보여주는 결과들을 확인할 수 있었다.

Selection and Ranking of Common Attack Patterns for Developing Secure Web Applications (안전한 웹 애플리케이션 개발을 위한 공통 공격패턴의 선별 및 순위화)

  • Moon, Jae-Chan;Kim, Dae-Gyeong;Cho, Seong-Je
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.226-228
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    • 2012
  • 최근 HTML5, AJAX(Asynchronous JavaScript XML) 등으로 구현된 웹 애플리케이션이 널리 이용됨에 따라 웹 애플리케이션에 존재하는 취약점을 악용하는 공격 사례가 증가하고 있다. 웹 애플리케이션의 안전한 개발과 유지보수를 위해, 설계/구현 단계에서의 취약점 완화를 통한 예방, 그리고 운영 단계에서의 공격 탐지 및 대응이 필요하다. 더불어, 위험한 취약점들 및 공격 패턴들을 분석하고 우선순위를 부여하여, 웹 애플리케이션 개발 단계 및 운영 단계에서 심각한 취약점과 공격들을 우선 고려해야 한다. 본 논문에서는 OWASP Top 10과 CWE(Common Weakness Enumeration)를 연동시켜 CAPEC(Common Attack Pattern Enumeration and Classification)에서 웹 관련 주요 공격 패턴을 선별하고 순위화하였다. CWE는 취약점 예방에 도움을 주며, 순위화된 공격 패턴은 웹 애플리케이션에서 주요 공격들을 효율적으로 방어할 수 있게 하여 준다.

The Common Mode Failures Analysis of The Redundant System with Dependent Human Error (의존적 인간 실수를 고려한 중복 시스템의 Common Mode Failures의 분석)

  • Myung Ki Kim;Soon Heung Chang
    • Nuclear Engineering and Technology
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    • v.15 no.4
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    • pp.229-235
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    • 1983
  • Common Mode Failures (CMFs) have been a serious concern in the nuclear power plant. There is a broad category of the failure mechanisms that can cause common mode failures. This paper is a theoretical investigation of the CMFs on the unavailability of the redundant system. It is assumed that the total CMFs consist of the potential CMFs and the dependent human error CMFs. As the human error dependence is higher, the total CMFs are more effected by the dependent human error. If the human error dependence is lower, the system unavailability strongly depends on the potential CMFs, rather than the mechanical failure or the dependent human error. And it is shown that the total CMFs are dominant factor to the unavailability of the redundant system.

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Community Detection using Closeness Similarity based on Common Neighbor Node Clustering Entropy

  • Jiang, Wanchang;Zhang, Xiaoxi;Zhu, Weihua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2587-2605
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    • 2022
  • In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

Perceiving the Orientation of Linear Edges from Kinetic Occlusion (운동 중첩에 의한 직선적 윤곽의 방위 지각)

  • Jung, Woo-Hyun;Chung, Chan-Sup
    • Korean Journal of Cognitive Science
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    • v.17 no.3
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    • pp.151-175
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    • 2006
  • A common constraint-range model was suggested to explain the extraction of edge orientation from kinetic occlusion and five experiments were performed to verify this model. Results of the experiments show that the subjects' ability to identify the orientation of the kinetic edge increases as the angle of common constraint-range decreases. If the common constraint-range was fixed, the number of occluded elements or the interval between them had no effect on the accuracy. These results indicate that in the edge extraction process from kinetic occlusion, the angle of common constraint-range plays more important role than the density of background texture, supporting the common constraint-range model.

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Predicting Common Patterns of Livestock-Vehicle Movement Using GPS and GIS: A Case Study on Jeju Island, South Korea

  • Qasim, Waqas;Cho, Jea Min;Moon, Byeong Eun;Basak, Jayanta Kumar;Kahn, Fawad;Okyere, Frank Gyan;Yoon, Yong Cheol;Kim, Hyeon Tae
    • Journal of Biosystems Engineering
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    • v.43 no.3
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    • pp.247-254
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    • 2018
  • Purpose: Although previous studies have performed on-farm evaluations for the control of airborne diseases such as foot-and-mouth disease (FMD) and influenza, disease control during the process of livestock and manure transportation has not been investigated thoroughly. The objective of this study is to predict common patterns of livestock-vehicle movement. Methods: Global positioning system (GPS) data collected during 2012 and 2013 from livestock vehicles on Jeju Island, South Korea, were analyzed. The GPS data included the coordinates of moving vehicles according to the time and date as well as the locations of livestock farms and manure-keeping sites. Data from 2012 were added to Esri software ArcGIS 10.1 and two approaches were adopted for predicting common vehicle-movement patterns, i.e., point-density and Euclidean-distance tools. To compare the predicted patterns with actual patterns for 2013, the same analysis was performed on the actual data. Results: When the manure-keeping sites and livestock farms were the same in both years, the common patterns of 2012 and 2013 were similar; however, differences arose in the patterns when these sites were changed. By using the point-density tool and Euclidean-distance tool, the average similarity between the predicted and actual common patterns for the three vehicles was 80% and 72%, respectively. Conclusions: From this analysis, we can determine common patterns of livestock vehicles using previous year's data. In the future, to obtain more accurate results and to devise a model for predicting patterns of vehicle movement, more dependent and independent variables will be considered.

Effect of elevated atmospheric carbon dioxide on the allelopathic potential of common ragweed

  • Bae, Jichul;Byun, Chaeho;Ahn, Yun Gyong;Choi, Jung Hyun;Lee, Dowon;Kang, Hojeong
    • Journal of Ecology and Environment
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    • v.43 no.2
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    • pp.212-218
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    • 2019
  • Background: Allelopathy has been suggested as one potential mechanism facilitating the successful colonisation and expansion of invasive plants. The impacts of the ongoing elevation in atmospheric carbon dioxide (CO2) on the production of allelochemicals by invasive species are of great importance because they play a potential role in promoting biological invasion at the global scale. Common ragweed (Ambrosia artemisiifolia var. elatior), one of the most notorious invasive exotic plant species, was used to assess changes in foliar mono- and sesquiterpene production in response to CO2 elevation (389.12 ± 2.55 vs. 802.08 ± 2.69 ppm). Results: The plant growth of common ragweed significantly increased in elevated CO2. The major monoterpenes in the essential oil extracted from common ragweed leaves were β-myrcene, DL-limonene and 1,3,6-octatriene, and the major sesquiterpenes were β-caryophyllene and germacrene-D. The concentrations of 1,3,6-octatriene (258%) and β-caryophyllene (421%) significantly increased with CO2 elevation. Conclusions: These findings improve our understanding of how allelochemicals in common ragweed respond to CO2 elevation.