중국 문화굴기의 역설

김승수(SeungSoo Kim) 한국언론정보학회 2016 한국언론정보학보 Vol.76 No.2

중국은 이렇게 말한다. ‘대국이 우뚝 섰다(大起)’. 그 파장 효과는 상당하다. 중국의 부상은 특히 한국에 위기이자 기회다. 문화산업도 마찬가지다. 중국은 사회주의 대중문화를 생산하여 소비를 촉진하고, 사회의식을 관리하려 한다. 동시에 중국은 국제적으로 문화굴기를 지향한다. 디지털화, 시장화, 지구화를 추진하는 중국은 미디어, 채널, 정보생산을 계속해서 늘려 왔다. 콘텐츠 부족은 필연적이었다. 그래서 중국은 다른 나라의 미디어, 저널리즘, 대중문화, 정보기술 등을 수입하고, 투자를 해서 대중문화 시장을 만들어 가고 있다. 이 연구는 중국 문화산업이 한국 문화 시장에 진출하여 많은 변화를 일으키고 있는 현상이 예사롭지 않다고 보고 그들의 행태를 연구하였다. 중국의 문화 시장과 미디어 정책을 분석하고, 이들이 한국 문화 시장에서 어떤 행태를 보이는지 살폈다. 논의 결과 중국은 미국을 비롯한 세계 곳곳에서 문화굴기를 시작하고 있으며, 그중 한국이 중화문화패권주의의 그늘에 갇힐 수도 있다는 점이다. The task of this essay deals with the China’s Cultural Rise in analizing the power of media and ‘Go Global’ policy. The phenomena of Chinese cultural hegemony over Asia beg study. I review the Chinese cultural industry going global. The notion of cultural hegemony is introduced in this study, in order to explain the rise of China accelerating a penetration and influence of Chinese cultural capital and its power. A peaceful rise of China links to its cultural hegemony over Asian countries. Currently, China has not sufficiently enjoyed the soft power due to its lack of globally accepted ideological dynamics in China’s culture and media. But in the near future, market-driven Chinese cultural capital and contents will replace Korean ones.

Spectral Decomposition 및 Ray-tracing을 이용한 UWB 수신신호 발생

김승수(Kim, Seungsoo),양훈기(Yang, Hoongee) 한국통신학회 2003 한국통신학회 학술대회논문집 Vol.2003 No.7

교육대학교 지원자의 학교생활기록부 중 행동 특성 및 종합의견 텍스트 마이닝 : 의미연결망 분석 방법별 및 전형유형별 비교 분석

김승수(Kim, Seungsoo),김종민(Kim, Chong Min) 한국교육평가학회 2021 교육평가연구 Vol.34 No.4

본 연구의 목적은 교육대학교 지원자의 학교생활기록부 중 행동 특성 및 종합의견 텍스트의 내용구조와 의미를 의미연결망 분석 방법별(동시 출현 네트워크, 파이계수, 엔그램 분석) 및 전형유형별(교직 적성, 학교장추천, 고른기회전형)로 비교 분석하는 것이다. 연구대상은 2022학년도 G 교육대학교 수시지원자 1,982명이었고, 텍스트를 전처리와 토큰화 후 연결 중심성과 하위집단분석을 반영하여 소시오그램으로 시각화하였다. 연구 결과, 전형 유형과 관계없이 동시 출현 네트워크의 상위 단어 쌍은 자신-학생, 학생-학급, 학생-친구들 등이었고, 파이계수의 상위 단어 쌍은 최선-다하다, 신망-두텁다, 예의-바르다 등이었으며, 바이그램 상위 단어 쌍은 최선-다하다, 학급-친구, 적극적-참여 등이었다. 이러한 연구 결과를 통해 행동 특성 및 종합의견의 내용구조와 의미를 파악하기에는 빈도가 낮아도 관련성이 큰 단어가 주로 표현되는 파이계수 분석보다 연이어 함께 사용된 고빈도 단어 쌍으로 구성된 엔그램 분석이 더 적합한 것으로 드러났다. The purpose of this study is to compare and analyze the content structure and meaning of the behavioral characteristics and comprehensive opinion texts in the student life records of the college of education applicants, by semantic network analysis(co-occurrence networks, pie-coefficient, n-gram analysis) and admission types(general school record, principal recommendation, equal opportunity). The subjects of this study were 1,982 applicants from G-Education University in the academic year 2022. After preprocessing and tokenizing text data and conducting degree centrality and subgroup, we visualized text as a sociogram. This study showed that the top word pairs of the co-occurrence network were self-student, student-class, student-friend, regardless of the admission types, and the top word pairs of the pie coefficient were best-doing, thick-trust, polite-courtesy, and the bi-gram top word pairs were best-doing, class-friend, and active-participation. These results indicated that n-gram analysis is more suitable than pie coefficient analysis to understand the content structure and meaning of behavioral characteristics and general opinions.

공공 데이터를 활용한 시스템 트레이딩 전략의 투자 성과 분석

김승수(Seungsoo Kim),조미경(Mikyung Cho),김종우(Jongwoo Kim) 한국지능정보시스템학회 2019 한국지능정보시스템학회 학술대회논문집 Vol.2019 No.10

비정형 정보와 CNN 기법을 활용한 이진 분류 모델의 고객 행태 예측

김승수(Seungsoo Kim),김종우(Jongwoo Kim) 한국지능정보시스템학회 2018 지능정보연구 Vol.24 No.2

Deep learning is getting attention recently. The deep learning technique which had been applied in competitions of the International Conference on Image Recognition Technology(ILSVR) and AlphaGo is Convolution Neural Network(CNN). CNN is characterized in that the input image is divided into small sections to recognize the partial features and combine them to recognize as a whole. Deep learning technologies are expected to bring a lot of changes in our lives, but until now, its applications have been limited to image recognition and natural language processing. The use of deep learning techniques for business problems is still an early research stage. If their performance is proved, they can be applied to traditional business problems such as future marketing response prediction, fraud transaction detection, bankruptcy prediction, and so on. So, it is a very meaningful experiment to diagnose the possibility of solving business problems using deep learning technologies based on the case of online shopping companies which have big data, are relatively easy to identify customer behavior and has high utilization values. Especially, in online shopping companies, the competition environment is rapidly changing and becoming more intense. Therefore, analysis of customer behavior for maximizing profit is becoming more and more important for online shopping companies. In this study, we propose CNN model of Heterogeneous Information Integration using CNN as a way to improve the predictive power of customer behavior in online shopping enterprises. In order to propose a model that optimizes the performance, which is a model that learns from the convolution neural network of the multi-layer perceptron structure by combining structured and unstructured information, this model uses heterogeneous information integration, unstructured information vector conversion, ‘multi-layer perceptron design, and evaluate the performance of each architecture, and confirm the proposed model based on the results. In addition, the target variables for predicting customer behavior are defined as six binary classification problems: re-purchaser, churn, frequent shopper, frequent refund shopper, high amount shopper, high discount shopper. In order to verify the usefulness of the proposed model, we conducted experiments using actual data of domestic specific online shopping company. This experiment uses actual transactions, customers, and VOC data of specific online shopping company in Korea. Data extraction criteria are defined for 47,947 customers who registered at least one VOC in January 2011 (1 month). The customer profiles of these customers, as well as a total of 19 months of trading data from September 2010 to March 2012, and VOCs posted for a month are used. The experiment of this study is divided into two stages. In the first step, we evaluate three architectures that affect the performance of the proposed model and select optimal parameters. We evaluate the performance with the proposed model. Experimental results show that the proposed model, which combines both structured and unstructured information, is superior compared to NBC(Naïve Bayes classification), SVM(Support vector machine), and ANN(Artificial neural network). Therefore, it is significant that the use of unstructured information contributes to predict customer behavior, and that CNN can be applied to solve business problems as well as image recognition and natural language processing problems. It can be confirmed through experiments that CNN is more effective in understanding and interpreting the meaning of context in text VOC data. And it is significant that the empirical research based on the actual data of the e-commerce company can extract very meaningful information from the VOC data written in the text format directly by the customer in the prediction of the customer behavior. Finally, through various experiments, it is possible to say that the proposed model

유아동 스마트폰 과의존 측정을 위한 관찰자 척도개발 및 타당화

이문수 ( Moonsoo Lee ),김종민 ( Chong Min Kim ),연규진 ( Kyujin Yon ),정여주 ( Yeoju Chung ),김재훈 ( Jaehoon Kim ),김승수 ( Seungsoo Kim ),김미림 ( Mirim Kim ),류지원 ( Jiwon Ryu ),차정인 ( Jeongin Cha ) 한국초등교육학회 2024 초등교육연구 Vol.37 No.3

The purpose of this study was to develop and validate an observer scale to measure smartphone over-dependence in young children in a rapidly changing digital environment. Through literature analysis and expert FGIs, sub-factors of smartphone over-dependence were organized into loss of control, prominence, and problematic consequences, and problematic consequences were subdivided into physical health, mental health, interpersonal context, and productivity. The final 20-item scale was developed through preliminary and main surveys, and reliability and validity tests showed good levels of reliability and validity. In addition, norming using z-score, ROC analysis, and modified Angoff method were used to establish cut-off points for classification into normal, potentially at-risk, and high-risk groups. The general group has no particular difficulties with smartphone use, and they use their smartphones appropriately and in moderation, and their daily lives are not disrupted. Potentially at-risk individuals are those who have lost control of their smartphone use and are beginning to experience physical and mental problems, such as missed appointments and requests for more screen time. High-risk individuals have lost control of their smartphone use, rarely engage in activities other than on their smartphone, have significant conflict in their relationships with others, and report difficulties with their daily lives.

청소년 스마트폰 과의존 척도-R 신규 개발 및 타당화

이문수(Moonsoo Lee),정여주(Yeoju Chung),김종민(Chong Min Kim),연규진(Kyu Jin Yon),김재훈(Jae Hoon Kim),김미림(Mirim Kim),김승수(Seungsoo Kim),류지원(Jiwon Ryu),차정인(Jeongin Cha) 한국상담학회 2024 상담학연구 Vol.25 No.4

본 연구는 청소년 스마트폰 과의존 척도-R의 하위요인을 확인하고 스마트폰 과의존 척도-R을 개발 및 타당화하고자 하였다. 이를 위해, 인터넷 및 스마트폰 중독 척도 관련 연구를 진행해온 학계 교수와 유관기관 담당자, 상담사 17명과 인터뷰를 실시하였고, 예비조사 청소년 504명, 본조사 1,000명의 데이터를 분석 및 활용하였다. 주요 결과는 다음과 같다. 첫째, 예비조사 분석 결과, 스마트폰 과의존 척도-R의 구성요인으로 조절력 상실, 현저성, 문제적 결과의 신체건강, 정신건강, 대인관계맥락, 생산성 6개, 38개 문항을 추출하였다. 둘째, 탐색적 요인분석 및 전문가 내용타당도 검증 결과를 바탕으로 6개 하위요인과 24개 문항을 선정하였다. 셋째, 본조사 결과를 토대로 최종 3개 요인, 20문항을 선정하고 분석하였다. 그 결과, 최종 척도의 신뢰도 .948이고, CFI, TLI, RMSEA는 각각 .968, .961, .052로 3개 구성요인(조절력 상실, 현저성, 문제적 결과: 하위 4개) 모형의 적합성을 확인했다. 넷째, 준거타당도 분석 결과, 기존 척도와의 상관이 .91, 스마트폰 중독 척도와는 .87의 높은 상관을 보였다. 본 연구에서 개발한 청소년 스마트폰 과의존 척도-R을 활용하여, 스마트폰 과의존 사용으로 부적응 및 심리적 어려움을 경험하는 청소년들을 심층적으로 이해하고 맞춤형 상담 및 교육적 접근이 이뤄질 것으로 기대한다. The purpose of this study is to identify the components of adolescents’ smartphone over-dependence and to develop and validate the scale-R. Seventeen experts in internet and smartphone addiction scale research, smartphone addiction organizations, counseling were interviewed. Then, data from 504 students in the preliminary study and 1,000 students in the main study were used and analyzed. The results are as follows: first, as a result of the preliminary survey analysis, 6 factors and 38 items were extracted as the construct factors of smartphone over-dependence : loss of control, salience, serious consequences in physical health, mental health, interpersonal relationships, and productivity. Second, based on exploratory factor analysis and expert content validity results, a total of six sub-factors and 24 items were selected. Third, based on the final survey, three factors and 20 items were selected and analyzed. As a result, the reliability(Cronbach’s Alpha) of the scale was .948, with CFI, TLI, RMSEA values of .968, .961, .052, respectively, confirming the suitability of the three-component model (loss of control, salience, serious consequences: sub-four). Fourth, the criterion validity analysis showed high correlations of .91 with existing scales and .87 with the smartphone addiction scale. It is expected that the adolescent smartphone over-dependence scale-R developed in this study will enable a deeper understanding of adolescents experiencing maladjustment and psychological difficulties due to smartphone over-dependence, and customized counseling and educational approaches would be provided.

전자종이 디스플레이 스마트 카드를 위한 4-채널 SPST 및 8-채널 SPDT CMOS 스위치 집적회로

김정아(Jungah Kim),김승수(Seungsoo Kim),신현철(Hyunchol Shin) 대한전자공학회 2018 전자공학회논문지 Vol.55 No.10

UWB 실내 채널 소프트웨어 시뮬레이터

우선걸(SunKeol Woo),김승수(SeungSoo Kim),양훈기(Hoongee Yang) 한국통신학회 2002 한국통신학회 학술대회논문집 Vol.2002 No.11

한국 중소 수입업체의 대금결제방식 결정요인에 대한 실증 분석

이용근(YongKeun Lee),김승수(SeungSoo Kim) 한국국제상학회 2016 國際商學 Vol.31 No.1

최근 무역대금결제방식이 신용장방식에서 송금방식으로 크게 변화하고 있다. 본 연구는 이러한 대금결제방식의 변화에 어떤 요인이 영향을 미치는가를 특히 한국 중 소기업들의 수입대금결제방식의 결정요인에 대해 실증분석을 하였다. 기존의 선행연구는 주로 수출대금결정요인에 대한 논문이었으며, 수입대금결제방식 결정에 관한 논문이 전무하였다. 이에 본 연구에서는 기존의 선행연구와 사전테스트에서 추출한 변수를 바탕으로 설문조 사를 통해 그 결정요인을 분석하였다. 분석결과 물품의 경쟁력, 물품의 종류, 최고경영자관심, 결제금액, 이자 및 각종 수수료, 기업신용도, 거래신뢰성, 거래기간지속성, 수입경험, 최고경영자의 의사, 자사의 평판 등이 결제 방식별로 유의한 차이점을 보이는 것으로 나타났다. Purpose : The purpose of this study is to investigate factors how to choose import payment method by certain factor in Korean Small & Medium Enterprises. Research design, data, methodology : This paper excuted the question investigation to import companies and excuted technological statistic and factor analysis, correlation analysis, logistic regression analysis through obtained data. Results : According to this study, the choosed variable factors were corporate credit ratings, transaction reliability, relative importance of import, deal duration, characteristics of the product, import experience, CEO opinion, credit reputation, competitive goods, kinds of goods, characteristics of goods industry, exchange rate risk, payment amount, interest and commission rates, CEO interrest, cost-bearing, trade practices. Those factors are influenced import payment methods in korean small & medium enterprises. Conclusions : In conclusion, the influenced import payment methods in korean small & medium enterprises were corporate 18 variable factors.