• Title/Summary/Keyword: convergence approach

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Convergence approach to weight control behavior and online clothing product shopping (체중조절행동과 온라인의류쇼핑에 대한 융합적 접근)

  • Kim, Wha-Sun;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.79-88
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    • 2015
  • This study focused on the idea that consumers who are dissatisfied with their body form tend to be more interested in weight control behavior. This research connects this relationship with consumers' risk perception on the internet and consequent decision hesitation behavior. Empirical results extracted three factors of weight control behavior: diet, physical treatment, and medication and exercise. Weight control behavior was different by gender but not by age. Consumers who were dissatisfied with their body form were likely to do exercise, but other types of dissatisfaction (weight dissatisfaction and height dissatisfaction) were not significantly related to weight control behavior. Weight dissatisfaction influenced perceived size risk significantly when shopping online. Diet, physical treatment, and medication had significant influence on perceived size risk when shopping online. Perceived size risk had significant influence on decision delay and offline switch behavior. This study took a convergence approach, which connects consumer characteristics with online shopping behavior.

Analysis of Plasma Cortisol from Nursery Pigs in Outdoor Efficacy Test for Digital Content - Based Approach in Animal Welfare Convergence Types (동물 복지 융합형 디지털 콘텐츠 제작을 위한 야외효력시험에서 이유 자돈의 혈중 Cortisol 분석)

  • Choi, In-Hag;Park, Chul;Kwak, Sang-Kee;Chung, Tae-Ho
    • Journal of Environmental Science International
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    • v.29 no.5
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    • pp.575-578
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    • 2020
  • The plasma cortisol of nurserypigs was examined using an outdoor efficacy testwith a digital content-based approach in animal welfare convergence types. Nine nurserypigs,without discriminating between female and male, were classified into 2 groups of 3 pigs each: control and group 1 (effect+nature), control and group 2(effect+nature+music). The control group was the same for group 1 and 2 to compare the effects using a t-test. There was no significant difference in plasma cortisol levels between the control group and group 1 until 4 h after stress induction. However, significant differences were subsequently found between the control group and group 1 from 8 h to 72 h (p<0.05). Further, plasma cortisol was not affected in group 2 at 0 h through 8 h and 72 h. At 12 h through 48 h, group 2 showed a reduction in plasma cortisol level compared to the control group(p<0.05). These results indicated that after stress induction, applying effect plus nature or effect plus nature plus music can effectively decrease plasma cortisol levels in nursery pigs within8 h through 72 h and may serve as a better model for digital content-based approach in animal welfare convergence types.

Damaged cable detection with statistical analysis, clustering, and deep learning models

  • Son, Hyesook;Yoon, Chanyoung;Kim, Yejin;Jang, Yun;Tran, Linh Viet;Kim, Seung-Eock;Kim, Dong Joo;Park, Jongwoong
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.17-28
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    • 2022
  • The cable component of cable-stayed bridges is gradually impacted by weather conditions, vehicle loads, and material corrosion. The stayed cable is a critical load-carrying part that closely affects the operational stability of a cable-stayed bridge. Damaged cables might lead to the bridge collapse due to their tension capacity reduction. Thus, it is necessary to develop structural health monitoring (SHM) techniques that accurately identify damaged cables. In this work, a combinational identification method of three efficient techniques, including statistical analysis, clustering, and neural network models, is proposed to detect the damaged cable in a cable-stayed bridge. The measured dataset from the bridge was initially preprocessed to remove the outlier channels. Then, the theory and application of each technique for damage detection were introduced. In general, the statistical approach extracts the parameters representing the damage within time series, and the clustering approach identifies the outliers from the data signals as damaged members, while the deep learning approach uses the nonlinear data dependencies in SHM for the training model. The performance of these approaches in classifying the damaged cable was assessed, and the combinational identification method was obtained using the voting ensemble. Finally, the combination method was compared with an existing outlier detection algorithm, support vector machines (SVM). The results demonstrate that the proposed method is robust and provides higher accuracy for the damaged cable detection in the cable-stayed bridge.

A Novel Approach to General Linearly Constrained Adaptive Arrays

  • Chang, Byong-Kun;Kim, Tae-Yeon;Lee, Yong-Kwon
    • Journal of information and communication convergence engineering
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    • v.10 no.2
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    • pp.108-116
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    • 2012
  • A novel approach to general linearly constrained adaptive arrays is presented to improve the nulling performance in coherent and noncoherent environments. The narrowband and broadband linearly constrained adaptive arrays are implemented to examine the array performance. It is shown that the proposed approach performs better than the conventional adaptive arrays and the nulling performance depends on the gain factor for the desired response.

Performance Improvement in Alternate Mainbeam Nulling by Adaptive Estimation of Convergence Parameters in Linearly Constrained Adaptive Arrays

  • Chang, Byong-Kun;Jeon, Chang-Dae;Song, Dong-Hyuk
    • Journal of information and communication convergence engineering
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    • v.7 no.3
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    • pp.392-398
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    • 2009
  • A novel approach is presented to improve the array performance of the alternate mainbeam nulling in a linearly constrained adaptive array processor in coherent environment. The convergence parameters in the linearly constrained LMS algorithm with a unit gain constraint and a null constraint in the direction of the desired signal are adaptively estimated to reduce the error power between the desired signal and the array output in the 2-dimensional convergence parameter space. It is shown that the case for estimating the convergence parameter for the unit gain constraint with that for null constraint fixed performs best. Also, it is observed that the proposed method performs significantly better than conventional methods as the number of coherent interferences increases.

Integer Programming Approach to the Convergence Adjustment on Color Display Tube

  • Park, Sungsoo;Kang, Donghan;Lee, Hyohyung;Hong, Cheol-Kee
    • Industrial Engineering and Management Systems
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    • v.3 no.1
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    • pp.63-70
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    • 2004
  • In this paper, we consider the adjustment of convergence on Color Display Tube (CDT). Convergence is a measure of how well the red, green and blue beams are physically aligned with each other to strike the same area on the screen. When misconvergence (convergence error) occurs, one way of compensating it is to attach several ferrite sheets on the inner part of Deflection Yoke (DY). We suggest an optimization model of misconvergence compensation process and report test results for 81 DY samples. As a result, more than 90% of the samples could be made to satisfy the required convergence criteria.

A Convergence Strategy of Improving Korean Speaking Skills through Memorizing Whole Sentence and Pair Works (통 문장 암기와 짝 활동을 통한 한국어말하기 향상 융합전략)

  • Ryu, Ja-Mi;Oh, Seong-Rok
    • Journal of the Korea Convergence Society
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    • v.7 no.2
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    • pp.77-84
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    • 2016
  • This paper is aimed at finding whether foreign students' Korean speaking skills can be increased or not through memorizing whole Korean sentences and pair works. First, the advance studies on the effects of this teaching method were surveyed. Second, the activity of this study was mainly pair works with foreign students, so how to do this activity was described. This activity was intended to help each other with keeping study and correcting errors while drilling in class. Thanks to this convergence teaching approach the students' frequency of target language, the Korean language was dramatically increased, and their motivation and energy were brought from this activity. They have to do communications with each other because each pair was made of one Chinese and one Vietnamese. They have no choice but to use Korean in communication. Finally, the questionnaire and interviews also showed that almost all of the students were satisfied with this convergence teaching approach.

A Case Study on the Community School for Urban Regeneration: A Convergence Approach Based on the Strength Model (도시재생사업활성화를 위한 주민대학 사례연구: 강점모델을 기반으로 한 융합적 접근)

  • Kim, Nam-Sook
    • Journal of the Korea Convergence Society
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    • v.10 no.10
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    • pp.249-257
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    • 2019
  • The purpose of this study was to find ways to promote residents' participation as an important key for urban regeneration and enhancing urban competition. The Korea Convergence Society. The case of the design and operation of the community academy as part of the urban regeneration project (the New Ddeul Village Project) in the S district of Busan Metropolitan City was analyzed based on the strength model. Based on the job, this study presented some empirical discussions for a successful community engagement program. First, move away from the pathological model based on regional problems and approach it as a positive and potential-oriented strength model. Second, it is co-prosperity by utilizing the resources of local universities around the village. Third, to meet the diverse needs of local residents, they should seek regional support and exchanges through the convergence of college majors.

Advanced Information Data-interactive Learning System Effect for Creative Design Project

  • Park, Sangwoo;Lee, Inseop;Lee, Junseok;Sul, Sanghun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2831-2845
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    • 2022
  • Compared to the significant approach of project-based learning research, a data-driven design project-based learning has not reached a meaningful consensus regarding the most valid and reliable method for assessing design creativity. This article proposes an advanced information data-interactive learning system for creative design using a service design process that combines a design thinking. We propose a service framework to improve the convergence design process between students and advanced information data analysis, allowing students to participate actively in the data visualization and research using patent data. Solving a design problem by discovery and interpretation process, the Advanced information-interactive learning framework allows the students to verify the creative idea values or to ideate new factors and the associated various feasible solutions. The student can perform the patent data according to a business intelligence platform. Most of the new ideas for solving design projects are evaluated through complete patent data analysis and visualization in the beginning of the service design process. In this article, we propose to adapt advanced information data to educate the service design process, allowing the students to evaluate their own idea and define the problems iteratively until satisfaction. Quantitative evaluation results have shown that the advanced information data-driven learning system approach can improve the design project - based learning results in terms of design creativity. Our findings can contribute to data-driven project-based learning for advanced information data that play a crucial role in convergence design in related standards and other smart educational fields that are linked.

Rational budgeting approach as a nutrient management tool for mixed crop-swine farms in Korea

  • Reza, Arif;Shim, Soomin;Kim, Seungsoo;Ahn, Sungil;Won, Seunggun;Ra, Changsix
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.9
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    • pp.1520-1532
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    • 2020
  • Objective: Due to rapid economic return, mixed crop-swine farming systems in Korea have become more intensive. Intensive farming practices often cause nutrient surpluses and lead to environmental pollution. Nutrient budgets can be used to evaluate the environmental impact and as a regulatory policy instrument for nutrient management. This study was conducted to select a nutrient budgeting approach applicable to the mixed crop-swine farms in Korea and suggest an effective manure treatment method to reduce on-farm nutrient production. Methods: In this study, we compared current and ideal gross nutrient balance (GNB) approaches of Organisation for Economic Co-operation and Development and soil system budget (SSB) approach with reference to on-farm manure treatment processes. Data obtained from farm census and published literature were used to develop the farm nutrient budgets. Results: The average nitrogen (N) and phosphorus (P) surpluses were approximately 11 times and over 7 times respectively higher in the GNB approaches than the SSB. After solid-liquid separation of manure, during liquid composting a change in aeration method from intermittent to continuous reduced the N and P loading about 50% and 47%, respectively. Although changing in solid composting method from turning only to turning+aeration improved the N removal efficiency by 30.5%, not much improvement in P removal efficiency was observed. Conclusion: Although the GNB approaches depict the impact of nutrients produced in the mixed crop-swine farms on the overall agricultural environment, the SSB approach shows the partitioning among different nutrient loss pathways and storage of nutrients within the soil system; thus, can help design sustainable nutrient management plans for the mixed cropswine farms. The study also suggests that continuous aeration for liquid composting and turning+aeration for solid composting can reduce nutrient loading to the soil.