• Title/Summary/Keyword: maximum average degree

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Improved Classification Algorithm using Extended Fuzzy Clustering and Maximum Likelihood Method

  • Jeon Young-Joon;Kim Jin-Il
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.447-450
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    • 2004
  • This paper proposes remotely sensed image classification method by fuzzy c-means clustering algorithm using average intra-cluster distance. The average intra-cluster distance acquires an average of the vector set belong to each cluster and proportionates to its size and density. We perform classification according to pixel's membership grade by cluster center of fuzzy c-means clustering using the mean-values of training data about each class. Fuzzy c-means algorithm considered membership degree for inter-cluster of each class. And then, we validate degree of overlap between clusters. A pixel which has a high degree of overlap applies to the maximum likelihood classification method. Finally, we decide category by comparing with fuzzy membership degree and likelihood rate. The proposed method is applied to IKONOS remote sensing satellite image for the verifying test.

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Effect of 360-degree Hospitalization Guide Video Content for ICU Caregivers on Anxiety, Satisfaction and Safety Perception

  • Park, Jung-Ha;Lee, Yun-Bok
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.233-240
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    • 2021
  • The purpose of this study was to provide a 360-degree video on intensive care unit admission guidance to family members admitted to the intensive care unit, and then to identify anxiety, safety perception, and satisfaction. This study was a single-group pre-post design, and the data collection period was from October 1, 2020 to August 30, 2021. The subjects of this study were 19 people who applied 360 degree hospitalization guide video. For data analysis, SPSS WIN 24.0 program was used, and real number, percentage, mean, standard deviation, minimum value, maximum value, and Wilcoxon signed rank test were used. The subjects' anxiety before intervention was an average score of 6.21±2.30 and the anxiety after intervention was an average score of 3.95±2.46, which was statistically significant (z=4.13, p<.001). The safety consciousness of the subjects before the intervention was an average of 4.08±0.39 and the safety consciousness after the intervention was an average of 4.54±0.48, which was statistically significant (z=5.00, p=.001). The highest level of satisfaction with the 360-degree hospitalization guidance image of the subjects was 4.58±0.51 and the lowest was 4.16±0.96. In this study, when 360-degree hospitalization guide video was applied, there was a difference in anxiety and safety perception, and satisfaction was high. Based on the research results, various programs for guardian education can be developed and utilized in the future.

Social Network Comparison of Airlines on Twitter Using NodeXL (Twitter를 기반으로 한 항공사 소셜 네트워크 비교분석 - 카타르, 싱가포르, 에미레이트, ANA, 대한항공을 중심으로 -)

  • Gyu-Lee Kim;Jae Sub Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.81-94
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    • 2023
  • The study aims to compare and analyze the social network structures of Qatar Airways,s Singapore Airlines, Emirates Airlines, and ANA Airlines, recording the top 1 to 4, and Korean Air in ninth by Skytrax's airline evaluations in 2022. This study uses NodeXL, a social network analysis program, to analyze the social networks of 5 airlines, Vertex, Unique Edges, Single-Vertex Connected Components, Maximum Geodesic Distance, Average Geodesic Distance, Average Degree Centrality, Average Closeness Centrality, and Average Betweenness Centrality as indicators to compare the differences in these social networks of the airlines. As a result, Singapore's social network has a better network structure than the other airlines' social networks in terms of sharing information and transmitting resources. In addition, Qatar Airways and Singapore Airlines are superior to the other airlines in playing roles and powers of influencers who affect the flow of information and resources and the interaction within the airline's social network. The study suggests some implications to enhance the usefulness of social networks for marketing.

Best-Effort Interference Alignment for K Users Quasi-Static MIMO Interference Channels

  • Jiang, Lijing;Song, Rongfang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2859-2872
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    • 2019
  • Interference alignment (IA) has been a powerful approach to achieve the maximum degree of freedom (DoF) for K users multiple-input-multiple-output (MIMO) interference channels. However, due to the feasibility constraint, aligning all the interference signals at each receiver is impractical for large K without symbol extension. In this paper, we propose two best-effort interference alignment (BEIA) schemes that the network selects the maximum number of interfering transmitters to align their signals given the feasibility conditions when each transmitter-receiver pair has a constant number of data streams. Besides, in case of not all interfering signals aligned at each receiver, an upper bound of the average throughput is derived. Simulation results show that the proposed schemes have superiority over the traditional methods, such as time division multiple access (TDMA) and cluster IA(CIA), in low and moderate signal-to-noise ratio (SNR) region in terms of average user throughput. In addition, the proposed max-min relative interference distance alignment scheme outperforms the proposed scheme of equal interfering transmitters number alignment in terms of both average user throughput and minimum user throughput.

A Study on the Attitude on the Transfer of Duty Post and Job Satisfaction of Nurses (간호사의 근무부서 이동에 대한 태도와 직무만족도와의 관계)

  • Chang, Kyung-Hwa;Lee, Eun-Mi
    • Journal of East-West Nursing Research
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    • v.11 no.1
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    • pp.12-24
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    • 2005
  • The objective of this research is to explore the attitude on the transfer of duty post and job satisfaction of nurses. The subjects of this study were 512 nurses who have engages in the K-university hospital. The measurement tool consisted of attitude on the transfer of duty post, job satisfaction. The collected data have been processed using SPSS/PC 12.0 program: The results of this study were as follows: 1. The age the subjects was from 21 to 56 and average 32, blow 3 years experience in current duty post occupied most by 37.1%. The experience of the transfer of duty post showed 50.2%. 51.4% of the nurses wanted $3{\sim}5$ years as the suitable periods for the transfer of duty post showing the highest degree of frequency. 2. The positive degree of the attitude on the transfer of duty post of the nurses appeared average (3.36) to maximum evaluation point 5, and when asked about 4 factors the nurses wanted individual development most by (3.72) while administration management was lowest by (2.65). The satisfaction degree on their job appeared to be average (3.06) to the maximum point 5, and when asked about 7 factors, interaction appeared to be the highest by (3.63), here we saw that interaction was the most important elevating factor of the job satisfaction degree. 3. In the relation of the attitude on the transfer of duty post according to general characteristics, there were the significant difference according to whether it is necessary for the current duty post and periodical duty post to be transferred. In the relation between general characteristics and job satisfaction degree there were the significant differences according to age, marital status, education, position of nurse, hospital clinical nursing experiences, satisfaction degree with current post and the hope of the transfer of duty post from current post. 4. The correlation between attitude on the transfer of duty post and job satisfaction degree was positive relation(r=0.137, p=.002), that the higher the degree of positive attitude on the transfer of duty post the higher the degree of job satisfaction.

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Identification of Linear Structural Systems (선형 구조계의 동특성 추정법)

  • 윤정방
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1989.10a
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    • pp.46-50
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    • 1989
  • Methods for the estimation of the coefficient matrices in the equation of motion for a linear multi-degree-of-freedom structure arc studied. For this purpose, the equation of motion is transformed into an auto-regressive and moving average with auxiliary input (ARMAX) model. The ARMAX parameters are evaluated using several methods of parameter estimation; such as toe least squares, the instrumental variable, the maximum likelihood and the limited Information maximum likelihood methods. Then the parameters of the equation of motion are recovered therefrom. Numerical example is given for a 3-story building model subjected to an earthquake exitation.

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INJECTIVELY DELTA CHOOSABLE GRAPHS

  • Kim, Seog-Jin;Park, Won-Jin
    • Bulletin of the Korean Mathematical Society
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    • v.50 no.4
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    • pp.1303-1314
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    • 2013
  • An injective coloring of a graph G is an assignment of colors to the vertices of G so that any two vertices with a common neighbor receive distinct colors. A graph G is said to be injectively $k$-choosable if any list $L(v)$ of size at least $k$ for every vertex $v$ allows an injective coloring ${\phi}(v)$ such that ${\phi}(v){\in}L(v)$ for every $v{\in}V(G)$. The least $k$ for which G is injectively $k$-choosable is the injective choosability number of G, denoted by ${\chi}^l_i(G)$. In this paper, we obtain new sufficient conditions to be ${\chi}^l_i(G)={\Delta}(G)$. Maximum average degree, mad(G), is defined by mad(G) = max{2e(H)/n(H) : H is a subgraph of G}. We prove that if mad(G) < $\frac{8k-3}{3k}$, then ${\chi}^l_i(G)={\Delta}(G)$ where $k={\Delta}(G)$ and ${\Delta}(G){\geq}6$. In addition, when ${\Delta}(G)=5$ we prove that ${\chi}^l_i(G)={\Delta}(G)$ if mad(G) < $\frac{17}{7}$, and when ${\Delta}(G)=4$ we prove that ${\chi}^l_i(G)={\Delta}(G)$ if mad(G) < $\frac{7}{3}$. These results generalize some of previous results in [1, 4].

Comparative Analysis of Accumulated Temperature for Seasonal Heating Load Calculation in Greenhouses (온실의 기간난방부하 산정을 위한 난방적산온도 비교분석)

  • Nam, Sang-Woon;Shin, Hyun-Ho;Seo, Dong-Uk
    • Journal of Bio-Environment Control
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    • v.23 no.3
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    • pp.192-198
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    • 2014
  • To establish the design criteria for seasonal heating load calculation in greenhouses, standard weather data are required. However, they are being provided only at seven regions in Korea. So, instead of using standard weather data, in order to find the method to build design weather data for seasonal heating load calculation, heating degree-hour and heating degree-day were analyzed and compared by methods of fundamental equation, Mihara's equation and modified Mihara's equation using normal and thirty years from 1981 to 2010 hourly weather data provided by KMA and standard weather data provided by KSES. Average heating degree-hours calculated by fundamental equation using thirty years hourly weather data showed a good agreement with them using standard weather data. The 24 times of heating degree-day showed relatively big differences with heating degree-hour at the low setting temperature. Therefore, the heating degree-hour was considered more appropriate method to estimate the seasonal heating load. And to conclude, in regions which are not available standard weather data, we suggest that design weather data should be analyzed using thirty years hourly weather data. Average of heating degree-hours derived from every year hourly weather data during the whole period can be established as environmental design standards, and also minimum and maximum of them can be used as reference data for energy estimation.

The Analysis of Environmental Effects on Maximum Output Power Change of Crystalline Silicon Photovoltaic Module (결정질 실리콘 태양전지모듈의 최대 출력특성 변화에 영향을 미치는 환경요인)

  • Kang, Gi-Hwan;Kim, Kyung-Soo;Park, Ji-Hong;Yu, Gwon-Jong;Ahn, Hyung-Keun;Han, Deuk-Young
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.06a
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    • pp.12-13
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    • 2007
  • In this paper, we studied the analysis of environmental effects on maximum output power change of crystalline silicon photovoltaic module. During the test period, there was a 5% reduction of maximum output power on an average. And the degree of output power uniformity became better compared to initial value. Using climate data like rain, snow and dust, we tried to find the reasons for maximum power fluctuation. The surface of PV module was monitored using microscope and infrared camera to study temperature distribution. The further analysis is described in the following paper.

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A Study on the Representation of Voltage Unbalance: Part II-Approximations of Voltage Unbalance Factor (전압불평형의 표현방식에 관한 연구(II) - 전압불평형계수의 근사적 표현방식 -)

  • 정승기
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.5
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    • pp.263-270
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    • 2003
  • In field applications, to represent the degree of voltage unbalance, the maximum voltage deviation from the average is preferred to the voltage unbalance factor based on symmetrical component analysis. This paper first clarifies the relationship between the voltage unbalance factor and the maximum deviation factor showing that the maximum deviation factor approximates the voltage unbalance factor under relatively low unbalanced conditions. Several alternative ways of approximation are introduced and examined by comparing with the conventional maximum deviation factor. It appears that these alternatives provide more accurate approximation to the voltage unbalance factor over wider range of voltage unbalance while maintaining simplicity in their formula.