• Title/Summary/Keyword: industrial clusters

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A Study on Acculturation of North Korean Defectors in South Korea (북한이탈주민의 한국 내 문화적응)

  • Han, Jin-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5027-5033
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    • 2011
  • The purpose of this study was to analyze a qualitative research on the essential structure of the acculturation of North Korean defectors, who settled in South Korea. The participants in this study were nine North Korean defectors who had resided in the city of D, South Korea, for three years or more after defecting from North Korea. After an in-depth interview, collected data were analyzed by applying Colaizzi's phenomenological method. As a result, their acculturation were classified into three categories : 'heterogeneity coming from different cultures', 'undergoing various sufferings after defection', and 'trying to tide over the difficulties in the actuality'. And 11 clusters of theme were selected. It's basically meant in this study to find out problems North Korean Defectors encountered and their process of overcoming the difficulties in an effort to step up the acculturation of the new settlers and ease their difficulties. And it's suggested that adjustment programs should be provided for them to fit into South Korean society.

A Preliminary Study on the Psychopathological protocols of the Vietnam War Agent Orange Patients and Korean Civil War Wound Soldier -Focus on Rorschach Tests- (베트남 참전 고엽제 환자와 한국전쟁 참전 상이군인의 심리적 특성에 관한 예비 연구 -로샤 반응을 중심으로-)

  • Chang, Mun-Seon;Kim, Tae-Yeol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.9
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    • pp.2492-2500
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    • 2009
  • This study was carried to examine overall psychopathological patterns of the Vietnam Civil War Veterans(Agent Orange patients)and Korean Civil War veterans(wounded soldier) using Rorschach tests. Test protocols of were compared with those of twenty Vietnam Civil War Veterans group and twenty-one Korean Civil War veterans. Rorschach protocols were administrated, scored, analysed according to the Exner's comprehensive system. Specifically, each Rorschach variable was divided into 3 clusters(e.g., core section, response determinants, and several special indices. The results of t-tests between the Vietnam Civil War Veterans group and the Korean Civil War veterans showed that Vietnam Civil War Veterans group were characterized as 1)cognitive rigidity, 2) ineffective problem solving, 3)emotional represion, 4)hypervigilance, 5)anxiety and 6) depressive tendency. These patterns suggest that still Vietnam Civil War Veterans experience the past trauma and lasting psychological seguela. Other implications and limitations of this study were discussed.

Development of Polymorphic Simple Sequence Repeat Markers using High-Throughput Sequencing in Button Mushroom (Agaricus bisporus)

  • Lee, Hwa-Yong;Raveendar, Sebastin;An, Hyejin;Oh, Youn-Lee;Jang, Kab-Yeul;Kong, Won-Sik;Ryu, Hojin;So, Yoon-Sup;Chung, Jong-Wook
    • Mycobiology
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    • v.46 no.4
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    • pp.421-428
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    • 2018
  • The white button mushroom (Agaricus bisporus) is one of the most widely cultivated species of edible mushroom. Despite its economic importance, relatively little is known about the genetic diversity of this species. Illumina paired-end sequencing produced 43,871,558 clean reads and 69,174 contigs were generated from five offspring. These contigs were subsequently assembled into 57,594 unigenes. The unigenes were annotated with reference genome in which 6,559 unigenes were associated with clusters, indicating orthologous genes. Gene ontology classification assigned many unigenes. Based on genome data of the five offspring, 44 polymorphic simple sequence repeat (SSR) markers were developed. The major allele frequency ranged from 0.42 to 0.92. The number of genotypes and the number of alleles ranged from 1 to 4, and from 2 to 4, respectively. The observed heterozygosity and the expected heterozygosity ranged from 0.00 to 1.00, and from 0.15 to 0.64, respectively. The polymorphic information content value ranged from 0.14 to 0.57. The genetic distances and UPGMA clustering discriminated offspring strains. The SSR markers developed in this study can be applied in polymorphism analyses of button mushroom and for cultivar discrimination.

Simultaneous Transmission of Multiple Unicast and Multicast Streams Using Non-orthogonal Multiple Access (비직교 다중접속 방식을 이용한 다중 유니캐스트와 멀티캐스트 스트림 동시 전송)

  • Shin, Changyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.11-19
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    • 2021
  • In this paper, we propose a non-orthogonal multiple access (NOMA) method based on channel alignment to simultaneously transmit multiple unicast and multicast streams in frequency-efficient manner. In this method, all receivers in a multicast cluster use the receive beamforming vectors that align their channels, and the base station uses the aligned channel information to design the transmit beamforming vectors that eliminate interference between multicast clusters. Using the effective receive channel information combined with the transmit beamforming vectors, unicast receivers design their own receive beamforming vectors that eliminate interference between unicast receivers. Since the proposed method effectively eliminates the interference, it achieves a higher sum rate than the existing orthogonal multiple access (OMA) method in high SNR regions. In addition, we present a hybrid method that exploits the benefits of the proposed NOMA method and the existing OMA method. Depending on the channel state, the hybrid method adaptively employs the existing OMA method, which improves the received signal power, in low SNR regions and the proposed NOMA method, which effectively eliminates the interference, in high SNR regions, thereby achieving a good sum rate over the entire SNR region.

College Nursing Students' Experiences of COVID-19 Pandemic (간호대학생의 코로나바이러스감염증-19 확산 경험)

  • Lee, Grace Changkeum;Ahn, Junhee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.142-152
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    • 2020
  • This study explores experiences of college nursing students during the COVID-19 pandemic. The participants were 10 college nursing students (junior and senior years) enrolled in a university in K city. Data were collected through in-depth interviews from May 1 to June 30, 2020. The phenomenological methodology proposed by Colaizzi was applied for data analysis. We identified a total of 6 theme clusters: increased fear of an infection, feeling isolated due to the changed way of life, feeling perplexed about unexpected circumstances, inability to adapt to the sudden change in classroom instruction, feeling burdened about clinical practice, and confronting the reality as a preliminary nurse. The analyzed data revealed that subjects had numerous experiences about COVID-19. We believe there were necessity and significance to conduct this study during the ongoing COVID-19 pandemic. This analysis can serve as a useful resource for discussing issues related to nursing education in the post COVID-19 era.

Visualization of the Intellectual Structure on the Internet of Things Focuses on the Industry 4.0 (제 4차 산업혁명 중심의 사물인터넷 지적 구조 시각화)

  • Hyaejung, Lim;Chang-Kyo, Suh
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.127-140
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    • 2022
  • With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

Analyzing data-related policy programs in Korea using text mining and network cluster analysis (텍스트 마이닝과 네트워크 군집 분석을 활용한 한국의 데이터 관련 정책사업 분석)

  • Sungjun Choi;Kiyoon Shin;Yoonhwan Oh
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.63-81
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    • 2023
  • This study endeavors to classify and categorize similar policy programs through network clustering analysis, using textual information from data-related policy programs in Korea. To achieve this, descriptions of data-related budgetary programs in South Korea in 2022 were collected, and keywords from the program contents were extracted. Subsequently, the similarity between each program was derived using TF-IDF, and policy program network was constructed accordingly. Following this, the structural characteristics of the network were analyzed, and similar policy programs were clustered and categorized through network clustering. Upon analyzing a total of 97 programs, 7 major clusters were identified, signifying that programs with analogous themes or objectives were categorized based on application area or services utilizing data. The findings of this research illuminate the current status of data-related policy programs in Korea, providing policy implications for a strategic approach to planning future national data strategies and programs, and contributing to the establishment of evidence-based policies.

Awareness of Sexual Minorities among Nursing College Students in Graduation Year (졸업학년 간호대학생의 성 소수자에 대한 인식)

  • Eun-Yi Yeom
    • Journal of Industrial Convergence
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    • v.22 no.7
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    • pp.69-79
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    • 2024
  • The purpose of this study was to explore the meaning on awareness of sexual minorities among nursing college students in graduation year. The participants were eight students attending three nursing colleges in Provinces C and K. Data were collected from November 2023 to January 2024. through in-depth interview until data saturation. The collected data were analyzed by applying Colaizzi's phenomenological research method. In this study, four categories and eight theme clusters were generated. The four categories consisted of 'Ambivalence towards sexual minorities', 'Empathy for the sexual minorities' difficult situation', 'Fear of caring for sexual minorities', and 'Preparation for the future as a nurse'. These results will contribute to the qualitative improvement of nursing education by providing the grounds for the effective educational strategy development which improve nursing students' awareness and care of sexual minorities. In-depth studies on various factors affecting awareness of sexual minorities in nursing students and problems are required.

Regional Differential Development as an Alternative Regional Development Theory (대안적 지역발전론으로서 지역차이발전론)

  • Lee, Jae-Ha
    • Journal of the Korean Geographical Society
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    • v.47 no.1
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    • pp.140-157
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    • 2012
  • Most of global citizens in the globalization era want to live peacefully in the symbiotic relationship among each region or locality with its identity. From this perspective, the new regionalist models of development such as new industrial districts, industrial clusters, regional innovation systems, and global city-regions isn't helpful to most of regions because they were developed to increase the global competitiveness of industrial region from a few advanced industrial areas. This study attempts to develop 'regional differential development' as an alternative regional development theory. This theory puts emphasis on the truth that the difference or differential industry between regions in the real world connotes two essential values of development like the symbiosis of global citizens and the regional identity. Regional differential development seeks the development of regional differential industry on the basis of geographical elements with differential advantage, and hence it reviews significantly geographical elements including location, natural environment(landform, soil, climate, etc.), natural resources, population, transportation, culture, and landscape which appear substantially differently among regions. And to realize regional differential development successfully, it is crucial that actors(government, company, related institutions, and regional residents) actively participate and play each complementary role in the relationship of cooperation and conflict. Further study needs to secure the universal validity of this theory through many empirical studies.

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A Study on the Regional Characteristics of Broadband Internet Termination by Coupling Type using Spatial Information based Clustering (공간정보기반 클러스터링을 이용한 초고속인터넷 결합유형별 해지의 지역별 특성연구)

  • Park, Janghyuk;Park, Sangun;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.23 no.3
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    • pp.45-67
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    • 2017
  • According to the Internet Usage Research performed in 2016, the number of internet users and the internet usage have been increasing. Smartphone, compared to the computer, is taking a more dominant role as an internet access device. As the number of smart devices have been increasing, some views that the demand on high-speed internet will decrease; however, Despite the increase in smart devices, the high-speed Internet market is expected to slightly increase for a while due to the speedup of Giga Internet and the growth of the IoT market. As the broadband Internet market saturates, telecom operators are over-competing to win new customers, but if they know the cause of customer exit, it is expected to reduce marketing costs by more effective marketing. In this study, we analyzed the relationship between the cancellation rates of telecommunication products and the factors affecting them by combining the data of 3 cities, Anyang, Gunpo, and Uiwang owned by a telecommunication company with the regional data from KOSIS(Korean Statistical Information Service). Especially, we focused on the assumption that the neighboring areas affect the distribution of the cancellation rates by coupling type, so we conducted spatial cluster analysis on the 3 types of cancellation rates of each region using the spatial analysis tool, SatScan, and analyzed the various relationships between the cancellation rates and the regional data. In the analysis phase, we first summarized the characteristics of the clusters derived by combining spatial information and the cancellation data. Next, based on the results of the cluster analysis, Variance analysis, Correlation analysis, and regression analysis were used to analyze the relationship between the cancellation rates data and regional data. Based on the results of analysis, we proposed appropriate marketing methods according to the region. Unlike previous studies on regional characteristics analysis, In this study has academic differentiation in that it performs clustering based on spatial information so that the regions with similar cancellation types on adjacent regions. In addition, there have been few studies considering the regional characteristics in the previous study on the determinants of subscription to high-speed Internet services, In this study, we tried to analyze the relationship between the clusters and the regional characteristics data, assuming that there are different factors depending on the region. In this study, we tried to get more efficient marketing method considering the characteristics of each region in the new subscription and customer management in high-speed internet. As a result of analysis of variance, it was confirmed that there were significant differences in regional characteristics among the clusters, Correlation analysis shows that there is a stronger correlation the clusters than all region. and Regression analysis was used to analyze the relationship between the cancellation rate and the regional characteristics. As a result, we found that there is a difference in the cancellation rate depending on the regional characteristics, and it is possible to target differentiated marketing each region. As the biggest limitation of this study and it was difficult to obtain enough data to carry out the analyze. In particular, it is difficult to find the variables that represent the regional characteristics in the Dong unit. In other words, most of the data was disclosed to the city rather than the Dong unit, so it was limited to analyze it in detail. The data such as income, card usage information and telecommunications company policies or characteristics that could affect its cause are not available at that time. The most urgent part for a more sophisticated analysis is to obtain the Dong unit data for the regional characteristics. Direction of the next studies be target marketing based on the results. It is also meaningful to analyze the effect of marketing by comparing and analyzing the difference of results before and after target marketing. It is also effective to use clusters based on new subscription data as well as cancellation data.