• 제목/요약/키워드: Quantitative Relationship

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A Study on the Interdisciplinary Citation Patternship (외식산업에서 조리학의 학문 분야간 문헌의 인용 유형에 관한 연구)

  • Kim, Ki-Young
    • Culinary science and hospitality research
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    • v.11 no.3 s.26
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    • pp.1-17
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    • 2005
  • The purpose of this paper was to analyze the distribution ratio of citation in researches in food service and found the relationship of study. The result was as follows. First there were remarkably quantitative researches than qualitative researches. Second, the citation ratio of social studies was high according to frequency-analysis. Third, citation frequency of publication was the highest in the pre-study that included scientific papers, newspapers, art and science contest announcement data and so on. Fourth, there was much citation ratio of domestic literature than foreign literature.

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A Methodology to Evaluate Industry Convergence Using the Patent Information : Technology Relationship analysis (특허정보를 활용한 산업융합성 평가 방법론 : 기술연관분석)

  • Kim, Jeeeun;Lee, Sungjoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.3
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    • pp.212-221
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    • 2013
  • As the convergence among technologies is reorganizing industry sectors, it is quite important to evaluate the probability of technological convergence, and to analyze how the technologies in a certain industry sector affect the same or other industry sectors. As a result, the large number of studies have been focused on the industry convergence. However, most of them have dealt mainly with case studies or strategy and policies and few efforts have been made to study it using quantitative data. The investigation of industry convergence using quantitative data will help understand the characteristics of industry and forecast the future of the industry from an objective point of view. Therefore, this research proposes a methodology to evaluate the possibilities of industry convergence using patent data. In particular, we emphasize the possibilities of technology convergence and suggest a technology relationship matrix to evaluate the technology convergence, as an antecedent of industry convergence. The feasibility and utility of the suggested methodology was verified with a case study on the convergence of IT and BT. The research results are expected to provide a useful guideline for developing a measure of convergence.

The Relationship Between Human Resource Management Practices, Work Engagement and Employee Behavior: A Case Study in Vietnam

  • PHAM, Thi Ngoc Mai
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.1003-1012
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    • 2021
  • This study aims to identify the relationship between human resource management practices, work engagement, and proactive behavior of health workers in Gia Lai Province in Vietnam. Based on theoretical frameworks of human resource management, work engagement, and proactive behavior, this study developed a research model and tested its relationship between human resource management practices, work engagement, and the proactive behavior of healthcare workers in Gia Lai Province. This research has used a mixed research method with qualitative and quantitative research. The quantitative research was conducted by survey with 232 health workers. The hypotheses were tested by using structural equation modeling (SEM). The findings showed that human resource management practices have a positive and significant influence on proactive behavior, which directly influences healthcare workers' work engagement. Besides, work engagement plays a role in mediating the influence of human resource management practices on proactive behavior. This research implies that health care organizations should pay more attention to human resource management practices to improve work engagement that assists in increasing employee proactive behavior. Efficient human resource management practices help boost work engagement and, initiality, improve the quality of health care services and minimize errors in treatments.

The Relationship Between Brand Anthropomorphism, Brand Love, and Brand Advocacy. Moderate Role of Self-brand Connection in Brand Distribution

  • Ngoc Dan Thanh, NGUYEN;Thuy Anh, TRINH
    • Journal of Distribution Science
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    • v.21 no.3
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    • pp.37-46
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    • 2023
  • Purpose: The article focuses on studying the impact of brand anthropomorphism, and brand love, on brand advocacy, and at the same time the moderate role of brand self-connection in the process of customers' perception of the brand, especially the brand distribution. The survey subjects are customers with millennial consumers in Ho Chi Minh City, who have the behavior of buying brands in the smart mobile device industry many times with a specific brand in terms of brand distribution. Results: The findings show that Brand anthropomorphism and brand love are crucial factors to impact brand advocacy and the role of self-brand connection also is a confirmed positive effect on the relationship between brand anthropomorphism and brand love. Research design, data, and methodology: The article uses quantitative research to test the model and research hypotheses. The way to collect quantitative data is to use questionnaires with 1531 samples in Ho Chi Minh City, Vietnam. Conclusion: The research results can help businesses build a long-term brand strategy and expect to get new rewards and value from customers. They can also add to the theory about the relationship between brands and customers.

Probabilistic Q-system for rock classification considering shear wave propagation in jointed rock mass

  • Kim, Ji-Won;Chong, Song-Hun;Cho, Gye-Chun
    • Geomechanics and Engineering
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    • v.30 no.5
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    • pp.449-460
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    • 2022
  • Safe underground construction in a rock mass requires adequate ground investigation and effective determination of rock conditions. The estimation of rock mass behavior is difficult, because rock masses are innately anisotropic and heterogeneous at different scales and are affected by various environmental factors. Quantitative rock mass classification systems, such as the Q-system and rock mass rating, are widely used for characterization and engineering design. The measurement of rock classification parameters is subjective and can vary among observers, resulting in questionable accuracy. Geophysical investigation methods, such as seismic surveys, have also been used for ground characterization. Torsional shear wave propagation characteristics in cylindrical rods are equal to that in an infinite media. A probabilistic quantitative relationship between the Q-value and shear wave velocity is thus investigated considering long-wavelength wave propagation in equivalent continuum jointed rock masses. Individual Q-system parameters are correlated with stress-dependent shear wave velocities in jointed rocks using experimental and numerical methods. The relationship between the Q-value and the shear wave velocity is normalized using a defined reference condition. This relationship is further improved using probabilistic analysis to remove unrealistic data and to suggest a range of Q-values for a given wave velocity. The proposed probabilistic Q-value estimation is then compared with field measurements and cross-hole seismic test data to verify its applicability.

Radar Quantitative Precipitation Estimation using Long Short-Term Memory Networks

  • Thi, Linh Dinh;Yoon, Seong-Sim;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.183-183
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    • 2020
  • Accurate quantitative precipitation estimation plays an important role in hydrological modelling and prediction. Instantaneous quantitative precipitation estimation (QPE) by utilizing the weather radar data is a great applicability for operational hydrology in a catchment. Previously, regression technique performed between reflectivity (Z) and rain intensity (R) is used commonly to obtain radar QPEs. A novel, recent approaching method which might be applied in hydrological area for QPE is Long Short-Term Memory (LSTM) Networks. LSTM networks is a development and evolution of Recurrent Neuron Networks (RNNs) method that overcomes the limited memory capacity of RNNs and allows learning of long-term input-output dependencies. The advantages of LSTM compare to RNN technique is proven by previous works. In this study, LSTM networks is used to estimate the quantitative precipitation from weather radar for an urban catchment in South Korea. Radar information and rain-gauge data are used to evaluate and verify the estimation. The estimation results figure out that LSTM approaching method shows the accuracy and outperformance compared to Z-R relationship method. This study gives us the high potential of LSTM and its applications in urban hydrology.

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The Role of IT Usage in Mediating the Relationship between Knowledge Sharing and Academics Performance

  • Naief G Azyabi
    • Asia pacific journal of information systems
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    • v.28 no.3
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    • pp.167-182
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    • 2018
  • The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.

Use of Quantitative Models to Describe the Efficacy of Inundative Biological Control of Fusarium Wilt of Cucumber

  • Singh, Pushpinder P.;Benbi, Dinesh K.;Young, Ryun-Chung
    • The Plant Pathology Journal
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    • v.19 no.3
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    • pp.129-132
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    • 2003
  • Fusarium wilt of cucumber caused by Fusarium oxy-sporum f. sp. cucumerinum is a serious vascular disease worldwide. Biological control of Fusarium wilt in several crops has been accomplished by introducing non-pathogenic Fusarium sup. and other biocontrol agents in soil or in infection courts. In this study, quantitative models were used to determine the biocontrol efficacy of inundatively applied antagonist formulations and the length of their effectiveness in controlling Fusarium wilt of cucumber. Quantitative model of the form [Y=L (1${-exp}^{-kx}$)] best described the relationship between disease incidence (Y, %) and inoculum density (X) of isolates F51 and F55. Isolate F51 was selected as a more virulent isolate based on the extent of its effectiveness in causing the wilt disease. The degree of disease control (Xi/X) obtained with the density of the biocontrol agent (Z), was described by the model [Xi/X=A (1${-exp}^{-cz}$)]. The zeolite-based antagonist formulation amended with chitosan (ZAC) was better at lower rates of application and peaked at around 5 g/ kg of the potting medium, whereas the peat-based antagonist formulation (PA) peaked at around 10 g/kg of the potting medium. ZAC formulation provided significantly better suppression of Fusarium wilt as described by the curvilinear relationship of the type Y= a+bX+c$X^2$, where Y represents percent disease incidence and X represents sustaining effect of the biocontrol agent.

Variation analysis of Atractylodes japonica Koidzumi ex Kitamura Based on Quantitative Characters (삽주(Atractylodes japonica Koidzumi ex Kitamura)의 정량적 형질에 의한 변이분석)

  • 김진기;박경렬;나의식
    • Korean Journal of Plant Resources
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    • v.15 no.1
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    • pp.36-42
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    • 2002
  • Sixteen Atractylodes japonica Koidz. accessions were collected in Jeonbuk, Kyeongnam, Kangwon and Kyeonggi province, and their quantitative characteristics were compared with each other. The relationship of variation between Atractylodes japonica Koidz. accessions was also investigated by means of multivariate analysis. Hamyang 1 accession had the most desirable quantitative characteristics among the accessions: plant height was 86.2cm, number of leaves, 117.2 and number of stems, 34.3. Sudo 1 accession had 12 stems, the most among the accessions. The length of leaf margin serras found in all of them was on average 1.6mm. Most accessions had simple or palmately compound leaf with oval or elliptical type of the leaf shape. The accessions could be classified into three groups by average linkage cluster method. The most remote relationship was found between Group 1 containing Jinan 1, Jinan 2 and Group 3 containing Jeongsu, and Geoje.

Use of Quantitative CT to Predict Postoperative Lung Function (Comparison of Quantitative CT and Perfusion Lung Scan) (폐절제술후의 폐기능 예측에 대한 나선식 정량적 CT의 유용성 (나선식 정량적 CT와 폐관류스캔과의 비교))

  • 이조한
    • Journal of Chest Surgery
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    • v.33 no.10
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    • pp.798-805
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    • 2000
  • Background : the prediction on changes in the lung function after lung surgery would be an important indicator in terms of the operability and postoperative complications. In order to predict the postoperative FEV1 - the commonly used method for measuring changes in lung function- a comparison between the quantitative CT and the perfusion lung scan was made and proved its usefulness. Material and Method : The subjects included 22 patients who received perfusion lung scan and quantitative CT preoperatively and with whom the follow-up of PFT were possibles out of the pool of patients who underwent right lobectomy or right pneumonectomy between June of 1997 and December of 1999. The FEV1 and FVC were calibrated by performing the PFT on each patient and then the predicted FEV1 and FVC were calculated after performing perfusion lung scan and quantitative CT postoperatively. The FEV1 and FVC were calibrated by performing the PFT after 1 week and after 3 momths following the surgery. Results : There was a significant mutual scan and the actual postoperative FEV1 and FVC at 1 week and 3 months. The predicted FEV1 and FVC(pneumonectomy group : r=0.962 and r=0.938 lobectomy group ; r=0.921 and r=913) using quantitative CT at 1 week postoperatively showed a higher mutual relationship than that predicted by perfusion lung scan(pneumonectomy group : r=0.927 and r=0.890 lobectomy group : r=0.910 and r=0.905) The result was likewise at 3 months postoperatively(CT -pneumonectomy group : r=0.799 and r=0.882 lobectomy group : r=0.934 and r=0.932) Conclusion ; In comparison to perfusion lung scan quantitative CT is more accurate in predicting lung function postoperatively and is cost-effective as well. Therefore it can be concluded that the quantitative CT is an effective method of replacing the perfusion lung scan in predicting lung function post-operatively. However it is noted that further comparative analysis using more data and follow-up studies of the patients is required.

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