• Title/Summary/Keyword: I-convergent

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Educaction program development applying capstone design for convergence talent development in the fashion field (패션분야 융합인재 육성을 위한 캡스톤 디자인 교육프로그램 학습 모형 개발 - NCS 패션분야 중심으로 -)

  • Kim, Shin Woo;Kim, Young In
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.4
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    • pp.195-211
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    • 2019
  • In this paper, Capstone Design Education Program Learning Model was developed and recommended in order to foster convergent talents armed with practical competences and real cooperative capabilities. In this era of convergence and creativity, the fashion world needs human resources with cooperative skills and true professional abilities. A case analysis, an in-depth interview, and 1,2 test method were used for data acquisition and analysis. The summary of this study is described below. First, this program needs to complement the NCS fashion design learning module. Second, material changes to creativity and practical competencies - knowledge, skills, and attitudes - of the students are assessed after applying Capstone Design to the NCS fashion design learning model. Third, the process of converging fashion curriculum with IT and electronic technology, developing a fashion design learning program, and applying the Capstone Design was tested to prove the effectiveness of convergent fashion design education. Among the changes observed between the trial and control groups, it was confirmed that sub-factors of creative personality, i.e. self-assurance and openness, were increased along with knowledge, core competences including communication capability, and self-directed learning capability. The greatest improvement on the technological side was observed in IT literacy while ability to respond to changes was also increased. Besides, effects were demonstrated in behavioral factors such as initiative, spirit of challenge, experience, and openness. Lastly, the Capstone Design Education Program Learning Model was proposed in order to foster convergent talents in the fashion world.

Recognition of the Korean alphabet Using Neural Oscillator Phase model Synchronization

  • Kwon, Yong-Bum;Lee, Jun-Tak
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.315-317
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    • 2003
  • Neural oscillator is applied in oscillatory systems (Analysis of image information, Voice recognition. Etc...). If we apply established EBPA(Error back Propagation Algorithm) to oscillatory system, we are difficult to presume complicated input's patterns. Therefore, it requires more data at training, and approximation of convergent speed is difficult. In this paper, I studied the neural oscillator as synchronized states with appropriate phase relation between neurons and recognized the Korean alphabet using Neural Oscillator Phase model Synchronization.

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ON SLIGHTLY $\alpha$-CONTINUOUS FUNCTIONS

  • Chae, G.I.;Noiri, T.;Kim, J.S.
    • East Asian mathematical journal
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    • v.19 no.2
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    • pp.241-249
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    • 2003
  • In [11] the feeble continuity is introduced and then the weak and strong forms of feeble(or, equivalently $\alpha$-continuity) continuity are studied. In this note, we introduce a type of function called a slightly $\alpha$-continuous function and study several properties of it

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RIESZ TRIPLE ALMOST LACUNARY χ3 SEQUENCE SPACES DEFINED BY A ORLICZ FUNCTION-I

  • SUBRAMANIAN, N.;Esi, Ayhan;AIYUB, M.
    • Journal of applied mathematics & informatics
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    • v.37 no.1_2
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    • pp.37-52
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    • 2019
  • In this paper we introduce a new concept for Riesz almost lacunary ${\chi}^3$ sequence spaces strong P - convergent to zero with respect to an Orlicz function and examine some properties of the resulting sequence spaces. We introduce and study statistical convergence of Riesz almost lacunary ${\chi}^3$ sequence spaces and some inclusion theorems are discussed.

On correlation and causality in the analysis of big data (빅 데이터 분석에서 상관성과 인과성)

  • Kim, Joonsung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.8
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    • pp.845-852
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    • 2018
  • Mayer-Schönberger and Cukier(2013) explain why big data is important for our life, while showing many cases in which analysis of big data has great significance for our life and raising intriguing issues on the analysis of big data. The two authors claim that correlation is in many ways practically far more efficient and versatile in the analysis of big data than causality. Moreover, they claim that causality could be abandoned since analysis and prediction founded on correlation must prevail. I critically examine the two authors' accounts of causality and correlation. First, I criticize that corelation is sufficient for our analysis of data and our prediction founded on the analysis. I point out their misunderstanding of the distinction between correlation and causality. I show that spurious correlation misleads our decision while analyzing Simpson paradox. Second, I criticize not only that causality is more inefficient in the analysis of big data than correlation, but also that there is no mathematical theory for causality. I introduce the mathematical theories of causality founded on structural equation theory, and show that causality has great significance for the analysis of big data.

A Suggestion of Cognitive Model of Scientific Creativity (CMSC) (과학적 창의성 모델의 제안 -인지적 측면을 중심으로-)

  • Park, Jong-Won
    • Journal of The Korean Association For Science Education
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    • v.24 no.2
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    • pp.375-386
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    • 2004
  • Creative thinking alone can not lead to scientific creativity. Scientific knowledge and scientific inquiry skills are needed for scientific creativity. Focused only on cognitive aspect, I suggested a cognitive model of scientific creativity (CMSC) consisting of 3 components: thinking for scientific creativity, scientific knowledge contents, and scientific inquiry skills. Recently, many researchers have emphasized the various thinking for creativity as well as divergent thinking. Therefore, I suggested three types of creative thinking - divergent thinking, convergent thinking, and associational thinking - and discussed its rationale. Based on this model, an example of activity material for the scientific creativity was suggested. In the further research, based on CMSC, various activity types related to scientific creativity and concrete learning materials for scientific creativity will be developed.

Case Study on Key Activities for Effective Supplier Relationship Management(SRM) (효과적인 공급자관계관리(SRM)를 위한 핵심활동 사례연구)

  • Choi, Hye Won
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.4
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    • pp.813-823
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    • 2019
  • Supplier Relationship Management (SRM) is a strategic partnership activity for an enterprise and is expected to be a significant performance element in the current enterprise environment where uncertainty is growing. Despite the effective SRM allows companies to manage quality and inventory throughout their logistics procurement process with their suppliers and increase the profitability of the company, there is a scarce of theory about supplier relationship management (SRM) and many companies are not aware of the importance of SRM and depend only on simple electronic purchasing methods. Therefore, I analyze the H Company as a case company, which is a large domestic company and has reached 2,500 domestic and overseas suppliers. SRM process and its effects are evaluated as (1) Purchasing strategy division 2) Process division (3) IT infrastructure division. By analyzing SRM as one of the management strategies that bring the overall value of enterprise performance up, and by looking at how domestic large corporations manage their suppliers, I hope that manufacturers with many suppliers will recognize the importance of SRM and build an SRM tailored to their business.

Reliability and Validity of Stroke Impact Scale 3.0 (뇌졸중 영향 척도 3.0의 신뢰도와 타당도)

  • Park, Eun-Young;Choi, Yoo-Im;Kim, Eun-Joo
    • The Journal of the Korea Contents Association
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    • v.19 no.8
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    • pp.293-302
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    • 2019
  • The purpose of this study was to examine the reliability and validity of Stroke Impact Scale 3.0 (SIS 3.0). Here, the SIS 3.0 was completed by 154 stroke patients (mean = 62.7; standard deviation [SD] = 9.43). Construct validity was verified by analyzing the correlation between SIS 3.0 sub-domains, and convergent validity was investigated by analyzing the correlation between the Modified Barthel Index (MBI) and the Mini-Mental State Examination-Korean (K-MMSE) version. The characteristics of each item were analyzed by internal consistency and item discrimination based on the classical item theory. Construct and convergent validity were verified through this study. Although the item i included in the emotion domain showed low item discrimination, all but this item showed high discrimination. Internal consistency was also high in all sub-domains.

Space-Efficient Compressed-Column Management for IoT Collection Servers (IoT 수집 서버를 위한 공간효율적 압축-칼럼 관리)

  • Byun, Siwoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.1
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    • pp.179-187
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    • 2019
  • With the recent development of small computing devices, IoT sensor network can be widely deployed and is now readily available with sensing, calculation and communi-cation functions at low cost. Sensor data management is a major component of the Internet of Things environment. The huge volume of data produced and transmitted from sensing devices can provide a lot of useful information but is often considered the next big data for businesses. New column-wise compression technology is mounted to the large data server because of its superior space efficiency. Since sensor nodes have narrow bandwidth and fault-prone wireless channels, sensor-based storage systems are subject to incomplete data services. In this study, we will bring forth a short overview through providing an analysis on IoT sensor networks, and will propose a new storage management scheme for IoT data. Our management scheme is based on RAID storage model using column-wise segmentation and compression to improve space efficiency without sacrificing I/O performance. We conclude that proposed storage control scheme outperforms the previous RAID control by computer performance simulation.

Analysis of Intelligent Vehicle Control Methods for CIM at Non-signalized Intersections (비 신호 교차로에서 CIM을 위한 지능형 차량 제어기법 분석)

  • Joo, Hyunjin;Lim, Yujin
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.2
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    • pp.33-40
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    • 2018
  • There are lots of literature about connected car system from industry and academia. The connected car is a smart car integrated with IT technology that is connected to people, vehicles and traffic management systems. It is important to V2I (vehicle to infrastructure) communication which is the connection between the vehicle and the infrastructure. CIM (cooperative intersection management) is a device to manage the communication between vehicle and infrastructure. In this paper, we analyze two intelligent vehicle control methods using CIM at non-signalized intersections. In the first method, a vehicle to pass through intersection needs to reserve a resource of intersection. In the second method, trajectory patterns on pre-planned vehicles are classified to pass through intersection. We analyze case studies of two methods to be implemented by DP(dynamic programming) and ACO(ant colony optimization) algorithms. The methods can be reasonably improved by placing importance on vehicles or controlling speeds of vehicles.