• Title/Summary/Keyword: Data Comparison

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Comparison of Observation Data between Local Waves in Gijang Sea and Donghae Buoy as Optimal Sites for the Wave Power Generation (파력발전 적지 기장 해역과 동해 해상부이 파랑관측치 비교)

  • Yoo, C.I.;Park, J.H.;Kim, H.T.;Yoon, H.S.;Yoon, S.J.
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.1
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    • pp.166-174
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    • 2009
  • Gijang Sea is located on the southeastern coast of Korea. This study establishes a basic system to identify optimal sites for the wave power generation. To achieve this goal, the field measurements were made at the field site in front of Dong-am fishing port at Gijang. In addition, we analyzed the offshore wave data at the Donghae buoy operated by Korea Meteorological Administration(KMA) and compared the data with the wave characteristics in Gijang Sea. The main results were as follows. In winter, the wave direction in Gijang Sea ranged between east and south($90{\sim}180^{\circ}$). The main wave direction was east($90^{\circ}$). The Significant wave heights and periods were under 2 m and $5{\sim}15$ sec, respectively. A comparison of water depth and wave direction constitutes one(condition) of the important parameters for selecting the optimal site for the wave power generation.

The Relationship Between 7S Factors of the Nursing Organizational Culture and Organizational Effectiveness (간호 조직문화 7S 요인과 조직 유효성의 관계)

  • Ha, Na-Sun;Park, Hyo-Mi;Choi, Jung
    • Journal of Korean Academy of Nursing Administration
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    • v.10 no.2
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    • pp.255-264
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    • 2004
  • Purpose: The Purpose of this study was to identify the relationship between 7S factors of the nursing organizational culture and organizational effectiveness. Method: The data were gathered from the self-reported questionnaires of 717 nurses who work for eight different general hospitals located around Seoul and Kyounggi province. The period of data collection was from November 12 to December 7, 2002. For data analysis, descriptive statistics, clustering analysis, and t-test with SPSS Program were used. Result: The nurses who highly perceived 7S factors of nursing organizational culture showed higher job satisfaction and organizational commitment in comparison with the nurses who lowly perceived 7S factors of nursing organizational culture. And the nurses who highly perceived 7S factors of nursing organizational culture showed higher organizational citizenship behavior in comparison with the nurses who lowly perceived 7S factors of nursing organizational culture. Among subdimension of organizational citizenship behavior, altruism and civic virtue were significant. Conclusion: From the above results, the high group with 7S factors of nursing organizational culture has strong culture, therefore nursing organization with strong culture is very implicative to enhance the organizational effectiveness.

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Comparison of Chlorophyll Algorithms in the Bohai Sea of China

  • Xiu, Peng;Liu, Yuguang;Rong, Zengrui;Zong, Haibo;Li, Gang;Xing, Xinogang;Cheng, Yongcun
    • Ocean Science Journal
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    • v.42 no.4
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    • pp.199-209
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    • 2007
  • Empirical band-ratio algorithms and artificial neural network techniques to retrieve sea surface chlorophyll concentrations were evaluated in the Bohai Sea of China by using an extensive field observation data set. Bohai Sea represents an example of optically complex case II waters with high concentrations of colored dissolved organic mattei (CDOM). The data set includes coincident measurements of radiometric quantities and chlorophyll a concentration (Chl), which were taken on 8 cruises between 2003 and 2005, The data covers a range of variability in Chl in surface waters from 0.3 to 6.5 mg $m^{-3}$. The comparison results showed that these empirical algorithms developed for case I and case II waters can not be applied directly to the Bohai Sea of china, because of significant biases. For example, the mean normalized bias (MNB) for OC4V4 product was 1.85 and the root mean square (RMS) error is 2.26.

Calibration and validation of the level 2 data of the Korean OSMI ocean color satellite

  • Suh, Y.S.;Jang, L.H.;Lee, N.K.;Lim, H.S.;Kim, Y.S.;Ahn, Y.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.703-705
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    • 2003
  • A comparison was made between the chlorophyll a and suspended solid (SS) retrievals from OSMI and SeaWiFS sensor to chlorophyll a and SS values determined with the standard method during the NFRDI's research cruises. The percentage of organic and inorganic materials from the SS was calculated to study the contribution of turbid water in the northern part of the East China Sea. The open sea waters in the Kuroshio regions of the East China Sea showed relatively higher concentration of volatile SS. However, towards the northwestern part of the East China Sea, the situation became much more optically different with the non-volatile SS from the Yangtze river and the sea bottom sources in the sea in winter and spring seasons. Furthermore, in order to indirectly detect low salinity water with high turbidity, which related to the Yangtze river using remote sensed data from the satellites, a comparison between the results of the band ratio(nLw 490nm/nLw 555nm) of SeaWiFS (OSMI) and the distribution of low salinity around the Jeju Island was presented.

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Comparison of Data Mining Classification Algorithms for Categorical Feature Variables (범주형 자료에 대한 데이터 마이닝 분류기법 성능 비교)

  • Sohn, So-Young;Shin, Hyung-Won
    • IE interfaces
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    • v.12 no.4
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    • pp.551-556
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    • 1999
  • In this paper, we compare the performance of three data mining classification algorithms(neural network, decision tree, logistic regression) in consideration of various characteristics of categorical input and output data. $2^{4-1}$. 3 fractional factorial design is used to simulate the comparison situation where factors used are (1) the categorical ratio of input variables, (2) the complexity of functional relationship between the output and input variables, (3) the size of randomness in the relationship, (4) the categorical ratio of an output variable, and (5) the classification algorithm. Experimental study results indicate the following: decision tree performs better than the others when the relationship between output and input variables is simple while logistic regression is better when the other way is around; and neural network appears a better choice than the others when the randomness in the relationship is relatively large. We also use Taguchi design to improve the practicality of our study results by letting the relationship between the output and input variables as a noise factor. As a result, the classification accuracy of neural network and decision tree turns out to be higher than that of logistic regression, when the categorical proportion of the output variable is even.

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Temporal Data Migration Strategies by Time Granularity and LST-GET (시간단위와 LST-GET에 의한 시간지원 데이터의 이동 기법)

  • 윤홍원;김경석
    • Journal of Korea Multimedia Society
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    • v.2 no.1
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    • pp.9-21
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    • 1999
  • This paper presents the time-segmented storage structure in order to increment search performance and the two data migration strategies: migration by Time Granularity and migration by LST-GET. In the migration strategy by Time Granularity, we describe how to assign entity version to the past, current segment, and future segments. We also describe searching and moving processes for data validity at a granularity level. In the migration strategy by LST-GET, we describe how to computer the value of dividing criterion. We simulate the search performance of the proposed segmented storage structure in comparison with the conventional storage structure in comparison with the conventional storage structure in relational database system. Finally, extensive simulation studies are performed in order to compare the search performance of the migration strategies with the time-segmented storage structure.

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Effect of Entrepreneurial Passion and Positive Emotions on Customer Responses: Mixed Methods Approach

  • HAN, Youngwee;HAN, Sangho
    • Journal of Distribution Science
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    • v.18 no.5
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    • pp.35-47
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    • 2020
  • Purpose: In the highly competitive franchise market, the perceived entrepreneurial passion and emotions of customers are very important, because it impacts on the success of companies. Thus, the purpose of this paper is to suggest how the impact of the franchise entrepreneurial passion and positive emotions on the brand trust and loyalty of customers. Research design, data and methodology: This study analyzes data was collected through questionnaires on customer(n=480) who had visited franchise restaurants. Analysis of used collected data was based on the mix method using quantitative and qualitative comparative analysis. Results: The quantitative analysis results showed inventing passion, developing passion, positive emotions that perceived by customers have a positive impact on brand trust. On the other hand, founding passion did not have an impact on loyalty in quantitative analysis. but when combined with developing passion in qualitative comparison analysis, but when combined with developing passion in qualitative comparison, that became the sufficient condition of high loyalty of customers. Conclusions: The franchisor of the Korean franchise industry is indiscriminately overusing the founding franchisees, causing social problems. In this situation, founding passion can have a negative impact on customers. Therefore, the franchisors must have management capabilities by strictly managing the founding rules of the franchisee and disclosing the corporate vision.

Analysis of Drug Utilization after the Mandatory Application of the DRG Payment System in Korea (포괄수가제 당연적용 후 의약품 사용현황 분석)

  • Kang, Hee-Jeong;Kim, Ji Man;Lim, Jae-Young;Lee, Sang Gyu;Shin, Euichul
    • Korea Journal of Hospital Management
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    • v.23 no.2
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    • pp.18-27
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    • 2018
  • Purposes: This study aims to investigate the policy effect of mandatory application of DRG for 7 disease groups in general and tertiary hospitals. Methodology: As DRG was fully implemented in July 2013, this study compares two periods before and after the change(from July 2012 to June 2013, and from July 2013 to June 2014). The benefit claim data of the National Health Insurance Service was used for the comparison. Target patients were those who visited general or tertiary hospitals between July 2012 to June 2014. For pharmaceutical consumption, Interrupted Time Series (ITS) analysis was used to see the effect of DRG mandatory application. Findings: The number of drugs prescribed per patient and pharmaceutical expenditure both showed significant reduction compared to before the DRG implementation. Practical Implications: This study used 2 sets of 1 year period data from before and after the full implementation of DRG to analyze pharmaceutical consumption. When the comparison data accumulates further, it would be possible to conduct more diverse analysis to assess policy effect and to provide way forward for the future.

Poor Correlation Between the New Statistical and the Old Empirical Algorithms for DNA Microarray Analysis

  • Kim, Ju Han;Kuo, Winston P.;Kong, Sek-Won;Ohno-Machado, Lucila;Kohane, Isaac S.
    • Genomics & Informatics
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    • v.1 no.2
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    • pp.87-93
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    • 2003
  • DNA microarray is currently the most prominent tool for investigating large-scale gene expression data. Different algorithms for measuring gene expression levels from scanned images of microarray experiments may significantly impact the following steps of functional genomic analyses. $Affymetrix^{(R)}$ recently introduced high-density microarrays and new statistical algorithms in Microarray Suit (MAS) version 5.0$^{(R)}$. Very high correlations (0.92 - 0.97) between the new algorithms and the old algorithms (MAS 4.0) across several species and conditions were reported. We found that the column-wise array correlations had a tendency to be much higher than the row-wise gene correlations, which may be much more meaningful in the following higher-order data analyses including clustering and pattern analyses. In this paper, not only the detailed comparison of the two sets of algorithms is illustrated, but the impact of the introducing new algorithms on the further clustering analysis of microarray data and of possible pitfalls in mixing the old and the new algorithms were also described.

Assessment of concrete degradation in existing structures: a practical procedure

  • Porco, Francesco;Uva, Giuseppina;Fiore, Andrea;Mezzina, Mauro
    • Structural Engineering and Mechanics
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    • v.52 no.4
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    • pp.701-721
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    • 2014
  • In the assessment of existing RC buildings, the reliable appraisal of the compressive strength of in-situ concrete is a fundamental step. Unfortunately, the data that can be obtained by the available testing methods are typically affected by a high level of uncertainty. Moreover, in order to derive indications about the degradation and ageing of the materials by on site tests, it is necessary to have the proper terms of comparison, that is to say, to know the reference data measured during the construction phases, that are often unavailable when the building is old. In the cases when such a comparison can be done, the in situ strength values typically turn out to be lower than the reference strength values (tests performed on taken samples during the construction). At this point, it is crucial to discern and quantify the specific effect induced by different factors: ageing of the materials; poor quality of the placement, consolidation or cure of the concrete during the construction phases; damage due to drilling. This paper presents a procedure for correlating the destructive compressive tests and non-destructive tests (ultrasonic pulse velocity tests) with the data documenting the compressive strength tested during the construction phases. The research work is aimed at identifying the factors that induce the difference between the in-situ strength and cubes taken from the concrete casting, and providing, so, useful information for the assessment procedure of the building.