• Title/Summary/Keyword: Funnel Model

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Customer journey in the digital age (디지털 시대의 고객여정)

  • Chung, Byoung-gyu;Jung, Sang-hee
    • Journal of Venture Innovation
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    • v.1 no.1
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    • pp.29-47
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    • 2018
  • As the radical advances of digitalization, our daily life have been fundamentally changed. As a result, the customer journey also changed as compared with previous periods. This study analyzed customer journy of digital age. First, historical trends and issues of customer journey research were analyzed. Second, Comparative analysis of customer journey of digital and previous age were conducted. No more funnel model of customer journey which assumed hierarchical and linear paths was valid. Customer journey of digital age will be non-linear and circular paths.

Mathematical model and sensitivity analysis for describing emulsification in ASP flooding

  • Zhang, Chengli;Wang, Peng;Song, Guoliang
    • Geosystem Engineering
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    • v.21 no.6
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    • pp.335-343
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    • 2018
  • Alkali-surfactant polymer flooding has become an important technique to improve oil recovery following the development of oil fields while the function of emulsification in enhanced oil recovery is rarely considered in the existing mathematical model for numerical simulation. In this paper, the mechanism of improving the recovery of the emulsification was analyzed in ASP flooding, and a relatively perfect mathematical model with deep filtration-theory was established, in which oil-water volume equation, saturation equation, viscosity equation, and permeability reduction equation are included. The new model is used to simulate the actual block of an oil field; the simulated results of the new model and an old model without considering the emulsification are compared with the actual well history. It is found that new model which is easy to be realized in numerical simulation has a high precision fitting, and the effect of adding oil and decreasing water is obvious. The sensitivity of emulsification was analyzed, and the results show that the water reducing funnel becomes wider and the rate of water cut decreases rapidly with the increase of emulsifying capacity, and then the rate of recovery slows down. The effect of increasing oil and decreasing water is better, and the degree of recovery increases. The emulsification of the ASP flooding is maintained at a moderate level, which corresponds to ${\Phi}=0.2$ in the new model, and the emulsification is applied to realize the general mathematical quantitative description, so as to better guide the oilfield development.

Korean Food Review Analysis Using Large Language Models: Sentiment Analysis and Multi-Labeling for Food Safety Hazard Detection (대형 언어 모델을 활용한 한국어 식품 리뷰 분석: 감성분석과 다중 라벨링을 통한 식품안전 위해 탐지 연구)

  • Eun-Seon Choi;Kyung-Hee Lee;Wan-Sup Cho
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.75-88
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    • 2024
  • Recently, there have been cases reported in the news of individuals experiencing symptoms of food poisoning after consuming raw beef purchased from online platforms, or reviews claiming that cherry tomatoes tasted bitter. This suggests the potential for analyzing food reviews on online platforms to detect food hazards, enabling government agencies, food manufacturers, and distributors to manage consumer food safety risks. This study proposes a classification model that uses sentiment analysis and large language models to analyze food reviews and detect negative ones, multi-labeling key food safety hazards (food poisoning, spoilage, chemical odors, foreign objects). The sentiment analysis model effectively minimized the misclassification of negative reviews with a low False Positive rate using a 'funnel' model. The multi-labeling model for food safety hazards showed high performance with both recall and accuracy over 96% when using GPT-4 Turbo compared to GPT-3.5. Government agencies, food manufacturers, and distributors can use the proposed model to monitor consumer reviews in real-time, detect potential food safety issues early, and manage risks. Such a system can protect corporate brand reputation, enhance consumer protection, and ultimately improve consumer health and safety.

Shape Optimization of a CRT based on Response Surface and Kriging Metamodels (반응표면과 크리깅메타모델을 이용한 CRT 형상최적설계)

  • Lee, Tae-Hee;Lee, Chang-Jin;Lee, Kwang-Ki
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.3
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    • pp.381-386
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    • 2003
  • Gradually engineering designers are determined based on computer simulations. Modeling of the computer simulation however is too expensive and time consuming in a complicate system. Thus, designers often use approximation models called metamodels, which represent approximately the relations between design and response variables. There arc general metamodels such as response surface model and kriging metamodel. Response surface model is easy to obtain and provides explicit function. but it is not suitable for highly nonlinear and large scaled problems. For complicate case, we may use kriging model that employs an interpolation scheme developed in the fields of spatial statistics and geostatistics. This class of into interpolating model has flexibility to model response data with multiple local extreme. In this study. metamodeling techniques are adopted to carry out the shape optimization of a funnel of Cathode Ray Tube. which finds the shape minimizing the local maximum principal stress Optimum designs using two metamodels are compared and proper metamodel is recommended based on this research.

Depression and the Risk of Breast Cancer: A Meta-Analysis of Cohort Studies

  • Sun, Hui-Lian;Dong, Xiao-Xin;Cong, Ying-Jie;Gan, Yong;Deng, Jian;Cao, Shi-Yi;Lu, Zu-Xun
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3233-3239
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    • 2015
  • Background: Whether depression causes increased risk of the development of breast cancer has long been debated. We conducted an updated meta-analysis of cohort studies to assess the association between depression and risk of breast cancer. Materials and Methods: Relevant literature was searched from Medline, Embase, Web of Science (up to April 2014) as well as manual searches of reference lists of selected publications. Cohort studies on the association between depression and breast cancer were included. Data abstraction and quality assessment were conducted independently by two authors. Random-effect model was used to compute the pooled risk estimate. Visual inspection of a funnel plot, Begg rank correlation test and Egger linear regression test were used to evaluate the publication bias. Results: We identified eleven cohort studies (182,241 participants, 2,353 cases) with a follow-up duration ranging from 5 to 38 years. The pooled adjusted RR was 1.13(95% CI: 0.94 to 1.36; $I^2=67.2%$, p=0.001). The association between the risk of breast cancer and depression was consistent across subgroups. Visual inspection of funnel plot and Begg's and Egger's tests indicated no evidence of publication bias. Regarding limitations, a one-time assessment of depression with no measure of duration weakens the test of hypothesis. In addition, 8 different scales were used for the measurement of depression, potentially adding to the multiple conceptual problems concerned with the definition of depression. Conclusions: Available epidemiological evidence is insufficient to support a positive association between depression and breast cancer.

A Meta-Analysis on the Effect of Music Intervention on the Anxiety of Children and Adolescents (음악중재가 아동 및 청소년의 불안에 미치는 효과에 대한 메타분석)

  • Bae, Ik-lyul;Kim, Min-woong
    • Stress
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    • v.25 no.2
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    • pp.86-92
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    • 2017
  • The present study investigated the effect of music intervention on the anxiety of children and adolescents using meta-analysis, and the specific research purposes were as follows. The targets of the present study were previous studies analyzed the effect of music intervention on anxiety collected the final 28 theses for academic degrees and five scholarly journal articles were used in the analysis. To examine the publication bias of the studies used in the analysis, funnel plot and fail-safe N were verified, and found the publication bias was not significant enough to influence the present study. The homogeneity test showed that the effect size was heterogeneous, and accordingly, a random effect model analysis was carried out and the overall effect size was found to be -1.034. The analysis on the difference in the effect showed that the effect size varied according to subject classification and intervention location for categorical variables and size for continuous variables.

Dewatering Characteristics of Sewage Sludge Produced by the Biological Treatment Process (도시하수 슬러지의 탈수특성 연구)

  • Lee, Jae Bok;Hwang, Jung Wuk;Kwon, Il;Chung, Tai Hak
    • Journal of Korean Society of Water and Wastewater
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    • v.9 no.2
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    • pp.84-96
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    • 1995
  • The dewatering characteristics of the sewage sludge was investigated through the experimental observations and model simulations. The activated sludge and the anaerobically digested sludge were examined for the dewaterability evaluation within the pressure range of $0{\sim}10^6N/m^2$. Modified Buchner funnel test and compression test by the consolidometer were conducted to evaluate average specific resistance, porosity, and moisture percentage of filter cake. Shirato's technique of compression-permeability test was followed for the pressure range lower than about $10^2N/m^2$. The flocculation effects on sludge dewatering was also examined for ferric chloride and polymeric flocculant. The application of hydrated lime which can be used for flue-gas desulfurization showed improved moisture percentage, and was thought to have positive feasibility in combined system of sludge dewatering and incineration. Determined characteristic constants were applied to Tiller's cake filtration model to simulate liquid pressure distribution and porosity distribution in cake. Model simulations showed a sharp drop of the porosity close to the cake-medium interface for the highly compressible material such as the activated sludge and the anaerobically digested sludge.

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A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses

  • Lee, Hong-Ki;Myoun, Sungmin
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.4
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    • pp.115-122
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    • 2017
  • The purpose of this study was to evaluate the effect of job satisfaction on turnover intention and organizational commitment in nurses through a systematic literature review and meta-analysis. For the study purpose, 26 studies were selected through a systematic process of using several databases and used to estimate the effect size of correlation between 3 variables. Meta-analysis was applied by usingcrandom effects model, and effect sizes on three types were calculated. Results are as follows. First, the effect size of correlation between job satisfaction and turnover intention is -.58. Second, the effect size of correlation between job satisfaction and organizational commitment is .77. Third, for the organizational commitment and turnover intention relationship, the effect of correlation is -0.68. Furthermore, publication bias analysis were assessed the results by using the funnel plot, Egger's regression test, fail-safe N, and trim-and-fill test. Based on these results, implications for the study were discussed.

Numerical Simulation on the Heat Transfer and Smoke Flow Phenomena and Evacuation in the Road funnel Fires (도로터널내부 화재시의 열전달 및 연기거동에 따른 피난안전성평가에 관한 수치적 연구)

  • Min Dong-Ho;Son Bong-Sei
    • Fire Science and Engineering
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    • v.19 no.1 s.57
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    • pp.87-92
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    • 2005
  • In this paper, numerical simulation are conducted to predict the characteristics of the heat transfer and smoke flow and evacuation in the road tunnel. Fire source are used about 30 MW and the turbulent flow characteristics are considered by standard k-epsilon turbulent model. The effect of transient thermal behavior and disaster prevention can be used for designing the road tunnel.

The Impact of Online Behavioral Advertising on Consumer Attitude and Impulse Buying: The Moderating Role of Privacy Concerns

  • Elisa Legros;Yoonju Han;Jeong Eun Park
    • Asia Marketing Journal
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    • v.26 no.3
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    • pp.201-212
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    • 2024
  • Online Behavioral Advertising (OBA), a recently emerging format of internet advertising, targets users based on their past online behaviors. This study examines the impact of OBA on consumer attitudes and impulse buying behavior, while exploring the moderating influence of privacy concerns, a crucial factor given that OBA relies on personal data collection. To test our conceptual model, we conducted surveys in Korea and France, to further analyze the potential cultural distinctions. Our findings, derived from a series of linear regression models, reveal that OBA significantly affects consumers' impulse buying, with this effect mediated by consumers' attitudes toward OBA. Moreover, consumers' privacy concerns weaken the positive effect of OBA on attitudes. Notably, we observe significant cultural differences, with these effects primarily manifesting in the Korean sample. Our study provides valuable insights for creating effective online advertising strategies that contribute to consumers' purchase funnel, ultimately leading to purchases, while addressing privacy concerns and cultural variations.