• 지역연구
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• 제39권4호
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• pp.33-51
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• 2023

본 연구는 2010년부터 2020년까지 우리나라 지역노동시장권을 대상으로 업무 특성에 따른 직종 집단간 고용구조의 변화를 살펴보고, 임금 프리미엄에 미치는 영향요인을 분석하는 데에 목적이 있다. 본 연구의 분석은 크게 세 단계로 이루어진다. 첫째, 한국직업정보시스템의 『재직자조사』 원자료의 직종별 업무 특성 자료에 대해 탐색적 요인분석을 수행한 다음, 비단순반복 업무지수를 산출하여 일자리를 유형화한다. 둘째, 『인구총조사』원시 자료와『한국노동패널조사』자료를 결합해 개인 수준 및 지역 수준 자료를 구축한 다음, 2010년부터 2020년까지 직종별 고용 분포 변화를 분석한다. 셋째, 위계적 선형모형을 활용해 직종 집단별 임금 프리미엄에 영향을 미치는 개인 및 지역 수준 요인을 실증 분석한다. 분석 결과에 따르면, 2010년 이후 비단순반복 업무지수가 높은 직종의 고용비중은 계속해서 증가했으며, 대도시 지역노동시장에서 지배적인 고용구조를 가지고 있는 것으로 나타났다. 또한 도시화경제로 인한 집적경제 외부효과는 비단순반복 업무를 주로 요구하는 직업에 종사하는 임금근로자에게 유의한 임금 프리미엄을 제공하는 것으로 나타났다. 본 연구는 지역노동시장 맥락에 따른 일자리 구조의 전환과 임금불평등의 양상을 실증 분석함으로써 지역노동시장의 불평등과 양극화 완화를 위한 정책 대안 마련에 시사점을 제공하고자 했다.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.238-246
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• 2021

The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

• 한국실내디자인학회논문집
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• 제13권1호
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• pp.81-88
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• 2004

The purpose of this study is to analyze spatial configuration of the unit floor plan characteristics of the apartments built in Seoul Metropolitan area by using the Space Syntax methodology and finally to test the relationship between space in the unit floor plans. So the unit floor plans are analyzed using sector graphs from justified graph and computer programs based on the Space Syntax model and compared by size. The results are as follows; The sector graphs are summarized in 14 types. The total depth of spaces is not in proportion to the plan area. And the global and local integration and intelligibility are inversely proportional to the area. But in the case of largest areas(265$m^2$ and above), the integration and intelligibility increase.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2008년도 연합학회학술대회
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• pp.211-224
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• 2008

As a lot of information and media are given to users in Internet space nowadays, users feel disoriented or "lost in space" intensively. So it is suggested that we have the system to reduce information overload and to propose effective and efficient information. In this study we present a visualizing technique which uses fisheye views on data adjacency to combine global context and local details for presentation of many results in limited space. Data Adjacency on graph theory is applied to set up degree of interest which is main focus in fisheye views. Graph theory is useful to solve the problem resulted from various combinational optimization, especially it has advantages to analyze issues in information space like Internet. To test the usability of the proposed visualization technique, we compared the effectiveness of different visualization techniques. Results show that our method is evaluated with respect to less time and high satisfaction for a task accomplishment.

• Structural Engineering and Mechanics
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• 제4권6호
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• pp.645-653
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• 1996

In order to avoid pathological mesh dependency in finite element modelling of strain localization, an isotropic elasto-plastic model with a yield function depending on the Laplacian of the equivalent plastic strain is implemented in a 4-node quadrilateral finite element with one integration point based on a mixed formulation derived from Hu-Washizu principle. The evaluation of the Laplacian is based on a least square polynomial approximation of the equivalent plastic strain around each integration point. This non local approach allows to satisfy exactly the consistency condition at each integration point. Some examples are treated to illustrate the effectiveness of the method.

• 한국조경학회지
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• 제31권4호
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• pp.39-48
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• 2003

The Office of Korean National Railroads announced a design competition for Kwangyang Station and sought design proposals in October of 2002. The authors collaborated on a landscape design for Kwangyang Station and earned first prize in the competition. The Office decided to construct outdoor public spaces of Kwangyang Station for railroad users, visitors and staff, and local residents. The landscape design covers the following: site inventory and analysis; integration of design program and site analysis; evaluation of design concept; selecting a winning design alternative; schematic design including circulation form and spatial form; and design development including subarea design. In the design process, the authors focused on the integration and interpretation of site conditions as related to the Kwangyang Station building. They also collectively analyzed and considered the physical development of the outdoor spaces of Kwangyang Station. The following are some of the major areas in the design of the outdoor spaces of Kwangyang Station: 1) a plaza for waiting, 2) an entry area for passengers, 3) a train cafeteria, 4) a cultural plaza, 5) an image wall, and 6) a symbolic pond. The plaza for waiting is created as a place for users to wait and rest. The entry area for passengers provides an area for pedestrians approaching, passing and strolling. The train cafeteria features trains, lawns, grasses and trees. The cultural plaza is a main area representing the regional characteristics of Kwangyang. This plaza also provides an area for various public events. The image wall is meant to be an exhibition space for displaying the advancements of Korean National Railroads in sculptural image forms. The symbolic pond consists of an area with symbolic water features and several sculptures with artistic value. In the authors' design, the outdoor spaces of Kwangyang station are created as a new type of public realm with function, regional quality, original identity, cultural context, symbolic meaning and images, and beauty. The designed spaces would be one of the most representative places of interest and attraction in Kwangyang.

• 한국지역지리학회지
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• 제13권2호
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• pp.220-233
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• 2007

본고에서는 우리나라 초등사회과의 교육과정 지역화논의와 현실을 파악하고 지역학습의 개념을 재정립하여 '서울'을 사례로 지역학습 내용 구성의 틀을 제안하였다. 교육과정의 지역화란 교육과정의 개발 및 운영의 지방분권화를 의미하며 이는 학습자의 능동걸인 참여를 위해 학습 내용과 학습자의 경험이 연결될 수 있는 일상적 생활세계인 지역을 학습의 소재로 활용한다. 전통적으로 지역학습에서 지역은 향토, 지역사회, 신변지역으로 접근되었다. 향토는 이해와 애정 소속의 대상이고, 지역사회는 학습의 자원이면서 의사소통의 장 참여와 실천의 장이며, 신변지역은 조사 비교의 대상이면서 주요 개념이나 이론을 설명할 수 있는 사례가 된다. 이와 같은 일련의 지역화 논의와 지역학습의 유형화를 바탕으로 현재 사용 중인 지역화 교과서 '사회과 탐구: 서울의 생활' 내용을 분석하면서 지역학습 내용 구성의 틀을 제안했다. 본고에서는 서울의 지역학습 내용을 구성하는데 서울을 경험의 공간, 참여의 공간, 탐구의 공간 차원으로 구분하여 이해하면서도 지리학의 새로운 지역개념을 도입하여 보다 적합성을 갖춘 지역학습 내용 구성 방안을 제시하고자 했다. 이를 통해 지역특수적인 소재를 활용하고 지역의 맥락에서 의미있는 잇슈와 주제를 중심으로 접근하는 것이 방법면에서 뿐 아니라 내용면에서 지역화를 실현하는 것임을 획인하였다.

• 지역사회간호학회지
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• 제32권4호
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• pp.467-476
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• 2021

Purpose: The purpose of this study is to understand the social perceptions of nurses in the context of the COVID-19 outbreak through analysis of media articles. Methods: Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords '[corona or Wuhan pneumonia or covid] and [nurse or nursing]' are extracted. After the selection process, the text mining and topic modeling are performed on 454 media articles using textom version 4.5. Results: Frequency Top 30 keywords include 'Nurse', 'Corona', 'Isolation', 'Support', 'Shortage', 'Protective Clothing', and so on. Keywords that ranked high in Term Frequency-Inverse Document Frequency (TF-IDF) values are 'Daegu', 'President', 'Gwangju', 'manpower', and so on. As a result of the topic analysis, 10 topics are derived, such as 'Local infection', 'Dispatch of personnel', 'Message for thanks', and 'Delivery of one's heart'. Conclusion: Nurses are both the contributors and victims of COVID-19 prevention. The government and the nurses' community should make efforts to improve poor working conditions and manpower shortages.

• 천문학회보
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• 제44권1호
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• pp.40.3-40.3
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• 2019

There is growing evidence for the dependence of Type Ia supernova (SN Ia) luminosities on the environments. The origin of this correlation, however, is under debate. In order to explore the physical origin of the trend in detail, we analyze SN Ia light-curves by combining a sample of 1231 SNe Ia over a wide redshift range (0.01 < z < 1.37) in various SN surveys and employing two independent light-curve fitters of SALT2 and MLCS2k2. Although SALT2 is the most widely used fitter in the SN community, MLCS2k2 has a novelty in the context of an investigation of the luminosity evolution of SNe Ia. For this reason we use both fitters and analyze them separately. We also determine a stellar mass and a star formation rate (SFR) for a sample of ~600 host galaxies. In addition, because recent low-redshift studies suggest that this dependence manifests itself most strongly when using the local SFR at the SN location, we introduce a new method to infer the local environments by restricting the SN Ia sample in globally star-forming host galaxies to a low-mass host galaxy subset (${\leq}10^{10}M_{\odot}$). We find that SNe Ia in low-mass and star-forming host galaxies are fainter than those in high-mass and passive hosts, after light-curve corrections. Especially, for the first time in host studies, we show that SNe Ia in locally star-forming environments are $0.081{\pm}0.018$ mag fainter ($4.5{\sigma}$) than those in locally passive environments from the sample including SNe at the high-redshift range. Considering the significant difference in the mean stellar population age between these environments, the result would suggest that the origin of the environmental dependence is the luminosity evolution of SNe Ia.

• Asia Marketing Journal
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• 제17권4호
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• pp.63-88
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• 2016

K-Pop is hugely promoted offline/online in East Asia, while efforts to promote it elsewhere are kept to a minimum. Whilst addressing the role of digital marketing in the promotion of K-Pop in the Brazilian music industry this study aims to demonstrate that K-pop will provide its audience with a unique and engaging experience if it thinks globally and acts locally in its marketing and communication strategies. A survey of K-Pop's world fan base was carried out online with 1,074 fans to determine the validity of the hypothesis. The results have demonstrated the need to adapt global and intercultural strategies to local markets with increasing brand awareness through utilizing digital marketing. For example, to increase K-Pop's popularity and market share in Brazil, it is not required to sing in Brazilian Portuguese, contrary to what might be perceived but fully singing in English would help breaking into the market dominated by domestic music as songs would have a higher probability to be included in the international soundtrack of a Brazilian telenovela and promote the K-Pop artist not only across Brazil but also give the artist exposure in all the markets the Brazilian telenovela is exported to, opening an entry door to those markets. K-Pop audience segmentation and psychographic profiling is crucial to the understanding of each market's consumer's preferences, likes, dislikes and their buying habits as it was proven through Brazil's digital media, social media, digital music market and K-Pop market analysis within the global context of the study. It should be also considered that brand extensions are not standard everywhere and that there are cultures where different product categories are not directly associated with its main corporate owner which requires extensive local market knowledge to succeed. The primary and secondary data research that we conducted for this study intended to demonstrate that K-Pop can be successful in Brazil and in Latin America and increase their local and regional market share if digital marketing and communication strategies are tailored to each individual market.