• Title/Summary/Keyword: Quantitative Convergence Analysis

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Accuracy-based Evaluation of the Utilization of Spatial Information for BIM Application (BIM 적용을 위한 공간정보의 정확도 기반 활용성 평가)

  • Doo-Pyo Kim
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.669-678
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    • 2023
  • Recently, spatial information has been applied to various fields and its usability is increasing day by day. In particular, in the field of civil engineering and construction, BIM based on spatial information is being applied to all construction industries and related research has been conducted. BIM is a technology that utilizes spatial information from the design phase and aids in the construction and maintenance of buildings, including the management of their attributes. However, to apply BIM technology to existing buildings, it takes a lot of time and money to produce models based on design drawings along with current surveying. In this study, quantitative and qualitative analysis was conducted to determine the applicability of the acquired data and the applicability of BIM by generating data and analyzing the accuracy using UAV images and ground lidar, which are representative spatial information acquisition methods. Quantitative analysis revealed that TLS (Terrestrial Laser Scanner) showed reliable accuracy in both planar and elevation measurements, whereas unmanned aerial images exhibited lower accuracy in elevation measurements, resulting in reduced reliability. Qualitative analysis indicated that neither TLS nor unmanned aerial images alone provided perfect completeness. However, the combination of both spatial information sources, tailored to specific needs, resulted in the most comprehensive completeness. Therefore, it is concluded that the appropriate utilization of spatial information acquired through unmanned aerial images and TLS holds the potential for application in the fields of BIM and reverse engineering.

Oxalic Acid from Lentinula edodes Culture Filtrate: Antimicrobial Activity on Phytopathogenic Bacteria and Qualitative and Quantitative Analyses

  • Kwak, A-Min;Lee, In-Kyoung;Lee, Sang-Yeop;Yun, Bong-Sik;Kang, Hee-Wan
    • Mycobiology
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    • v.44 no.4
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    • pp.338-342
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    • 2016
  • The culture filtrate of Lentinula edodes shows potent antimicrobial activity against the plant pathogenic bacteria Ralstonia solanacearum. Bioassay-guided fractionation was conducted using Diaion HP-20 column chromatography, and the insoluble active compound was not adsorbed on the resin. Further fractionation by high-performance liquid chromatography (HPLC) suggested that the active compounds were organic acids. Nine organic acids were detected in the culture filtrate of L. edodes; oxalic acid was the major component and exhibited antibacterial activity against nine different phytopathogenic bacteria. Quantitative analysis by HPLC revealed that the content of oxalic acid was higher in the water extract from spent mushroom substrate than in liquid culture. This suggests that the water extract of spent L. edodes substrate is an eco-friendly control agent for plant diseases.

Brand Fandom Dynamic Analysis Framework based on Customer Data in Online Communities

  • Yu Cheng;Sangwoo Park;Inseop Lee;Changryong Kim;Sanghun Sul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.8
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    • pp.2222-2240
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    • 2023
  • Brand fandom refers to a collection of consumers with strong emotions toward a brand. Studying the dynamics of brand fandom can help brands understand which services or strategies influence their consumers to become a part of brand fandom. However, existing literature on fandom in the last three decades has mainly used qualitative methods, and there is still a lack of research on fandom using quantitative methods. Specifically, previous studies lack a framework for locating fandoms from online textual data and analyzing their dynamics. This study proposes a framework for exploring brand fandom dynamics based on online textual data. This framework consists of four phases based on the design thinking model: Preparing Data, Defining Fandom Categories, Generating Fandom Dynamics, and Analyzing Fandom Dynamics. This framework uses techniques such as social network analysis and process mining, combined with brand personality theory. We demonstrate the applicability of this framework using case studies of two Korean home appliance brands. The dataset contains 14,593 posts by consumers in 374 online communities. The results show that the proposed framework can analyze brand fandom dynamics using textual customer data. Our study contributes to the interdisciplinary research at the intersection of data-driven service design and consumer culture quantification.

Analyzing Technology Competitiveness by Country in the Semiconductor Cleaning Equipment Sector Using Quantitative Indices and Co-Classification Network (특허의 정량적 지표와 동시분류 네트워크를 활용한 반도체 세정장비 분야 국가별 기술경쟁력 분석)

  • Yoon, Seok Hoon;Ji, Ilyong
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.85-93
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    • 2019
  • Despite its matchless position in the global semiconductor industry, Korea has not distinguished itself in the semiconductor equipment sector. Semiconductor cleaning equipment is one of the semiconductor fabrication equipment, and it is expected to be more important along with the advancement of semiconductor fabrication processes. This study attempts to analyze technology competitiveness of major countries in the sector including Korea, and explore specialty sub-areas of the countries. For this purpose, we collected patents of semiconductor cleaning equipment during the last 10 years from the US patent database, and implemented quantitative patent analysis and co-classification network analysis. The result shows that, the US and Japan have been leading the technological progress in this sector, and Korea's competitiveness has lagged behind not only the leading countries but also its competitors and even latecomers. Therefore, intensive R&D and developing technological capabilities are needed for advancing the country's competitiveness in the sector.

Consumer behavior of diners at Korean restaurants in Danang city, Vietnam

  • NGUYEN, Tran Thuy An;CHO, Mi Sook
    • The Korean Journal of Food & Health Convergence
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    • v.7 no.5
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    • pp.33-40
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    • 2021
  • In recent years, the trend of Korean cuisine has been more popular and quickly become the favorite flavor of Vietnamese youth. Restaurants serving Korean food are growing strongly in Danang market and are known by many classes of society. To better understand the taste and preferences of Danang people about Korean food, this study determined the behavior and assessment of diners who have used food and beverage services at Korean restaurants in Danang city. In addition, the study also identifies diners' desire to change the tastes of Korean dishes. The results show that Korean restaurants are attractive to young diners, from 18 - 25 years olds with income of $220 - $440, who appreciate Korean foods (especially grilled dishes) and most people intend to return to Korean restaurants in the next consumption. The study used a combination of qualitative and quantitative methods. Qualitative methods are used through analysis, evaluation and synthesis of previous studies to formulate survey contents, conduct surveys and propose solutions based on the collected results. Quantitative method applied SPSS 25.0 for descriptive statistics analysis. These findings will help Korean restaurant managers to identify target customers, improve the restaurant's dishes to increase sales and develop Korean dishes in Danang.

Quantitative Analysis on Chemisorption of NaDDTC as Organic Compound containing Sulfur for Cu-Ni Alloy (황을 포함한 유기화합물인 NaDDTC의 CuNi합금에 대한 화학적 흡착에 관한 정량적 분석)

  • Jung, Gilbong;Kim, Dongyung;Jang, Yohan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.5
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    • pp.548-557
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    • 2015
  • This paper is results on Chemisorption of organic compound for the sea water fire fighting line of naval vessels. The quantitative analysis of Chemisorption has been investigated in seawater after immersion in 0.1 % of NaDDTC solutions for 43 hours. The morphology and topography were investigated by FE-SEM and AFM. The chemical elements were analyzed by SEM-EDS, XPS and the depth of chemical elements was measured by depth profiles. The effect of NaDDTC comes from Chemisorption between Copper and Sulfur of NaDDTC. As a result, test results showed that sulfur is helpful to protect a corrosion of seawater line.

Bibliometric Analysis on the Research Trends in Journal of Convergence for Information Technology (중소기업융합학회 수록 논문의 연구동향에 대한 계량서지학적 분석)

  • Kim, Shin-Hee
    • Journal of Convergence for Information Technology
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    • v.10 no.7
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    • pp.122-130
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    • 2020
  • The purpose of this study is to identify current states and trends of convergence researches by conducting a bibliometric analysis of the papers in the Convergence Society for SMB. After 792 papers from 2012 to 2019 were collected, we analyzed network analysis by using centrality through extracting of nouns and compound nouns with text mining and 3 times of pre-processing and purification processing. According to the results, first, quantitative and qualitative aspects of the researches since 2016 improved, studies focused on words such as influence, convergence, mediating effect, satisfaction, and effect. Second, in the first half (2012-2015), engineering and technical studies were intensively conducted based on topics such as information, system, and security. Third, in the period of the second half (2016-2019), the research scope was expanded to college students, parents, teenagers under the topics of job, self-efficacy, education, satisfaction, depression, and stress. The results of this study are meaningful in identifying existing research trends and in providing information which requires the expansion of new research areas.

EPLA(Electric Park Lock Actuator) System Safety Design Based on Vehicle Functional Safety Standard ISO 26262

  • Eun-Hye Shin;Hyun-Hee Kim;Kyung-Chang Lee
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.2_1
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    • pp.239-248
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    • 2023
  • In this paper, we conduct a study on the design that can secure the safety of the EPLA system by performing safety activities based on the ISO 26262 standard for vehicle functional safety. In the case of a company developing a detailed system, it is responsible for verification through hardware design and safety analysis in the overall flow of safety activities, and safety analysis according to the ASIL safety level must be properly performed. At this time, there are cases where the safety goal quantitative metric value suggested by the ISO 26262 standard cannot be satisfied only by the hardware design of the basic function, so it is necessary to design and install the safety mechanism. Based on ISO 26262 safety activities, it is possible to derive an effective design plan through hardware safety analysis.

A Meta-analysis of the Relationship between Mediator Factors and Purchasing Intention in E-commerce Studies

  • Nam, Soo-Tai;Jin, Chan-Yong;Sim, Jaesung
    • Journal of information and communication convergence engineering
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    • v.12 no.4
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    • pp.257-262
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    • 2014
  • Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result by integrating and analyzing many quantitative research results. This study will find meaningful mediator variables for criterion variables that affect purchase and repurchase intentions in e-commerce, on the basis of the results of a meta-analysis. We reviewed a total of 114 e-commerce studies published in Korean journals between 2000 and 2014, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. In this meta-analysis, the path between trust and purchase intention showed the biggest effect size. The second biggest effect size was found in the path between commitment and purchase intention, while the smallest one was obtained with perceived. Thus, we present the theoretical and practical implications of these results and discuss the differences among these results through a comparative analysis with previous studies.

A Quantitative Assessment Model for Data Governance (Data Governance 정량평가 모델 개발방법의 제안)

  • Jang, Kyoung-Ae;Kim, Woo-Je
    • Journal of the Korean Operations Research and Management Science Society
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    • v.42 no.1
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    • pp.53-63
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    • 2017
  • Managing the quantitative measurement of the data control activities in enterprise wide is important to secure management of data governance. However, research on data governance is limited to concept definitions and components, and data governance research on evaluation models is lacking. In this study, we developed a model of quantitative assessment for data governance including the assessment area, evaluation index and evaluation matrix. We also, proposed a method of developing the model of quantitative assessment for data governance. For this purpose, we used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a quantitative evaluation model for data governance at the early stage of the study. This paper can be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.