• Title/Summary/Keyword: big concept

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Estimating Internal Transfer Trips Considering Subway Express Line - Focusing on Smart Card Data Based Network - (지하철 급행노선을 고려한 내부환승 추정방안 - 스마트카드 자료기반 네트워크를 중심으로 -)

  • Lee, Mee Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.5
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    • pp.613-621
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    • 2019
  • In general, transfer in subway stations is defined as transfer between lines and station transfer. In transfer between lines, passengers change from one subway line to another by utilizing horizontal pedestrian facilities such as transfer passages and pedestrian way. Station transfer appears in the situation that subway lines of enter and exit gate terminals differs from those of boarding and alighting trains and passenger trips utilize both vertical pedestrian facilities such as stair and escalator and horizontal facilities. The hypothesis on these two transfers presupposes that all subway lines are operated by either local train or express in subway network. This means that in a transfer case both local and express trains are operated in the same subway line, as a case of Seoul Metro Line 9, has not been studied. This research proposes a methodology of finding the same line transfer in the Seoul metropolitan subway network built based on the smart card network data by suggesting expanded network concept and a model that passengers choose a theirs minimum time routes.

Green Port Management Policy Directions in the Green Growth Era - The Case of Gwangyang Port in Republic of Korea - (녹색성장시대에 환경친화적 항만관리정책의 발전방향 - 광양항을 중심으로 -)

  • Jeong, Bong-Hyun
    • Journal of Korea Port Economic Association
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    • v.25 no.3
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    • pp.361-384
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    • 2009
  • This study aims to analyse the current conditions of transport demand and its environmental problems in Gwangyang Port(GP), and to suggest crucial directions for Gwangyang Green Port(GGP) in Korea. This study consists of three main sections: concept of green growth and green port; the analysis of transport demand and environment situations in GP; policy directions for GGP. This study is mainly conducted by a literature review of related papers, an analysis of secondary data & papers, and interviews with port experts. This study presents important policy directions for successfully managing GGP in Korea as follows: modal shifts plan for green transport and logistics system in GP; energy-saving techniques in GP's berth operation; the application of environmentally friendly port operation methods in GP; construction of GP waterfront facilities; environmentally friendly disposal of maritime waste matters; establishment and implementation of port environment master plan. This study will make a big contribution to the building of green port policy and the providing of professional informations to government officials.

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Expansion of Topic Modeling with Word2Vec and Case Analysis (Word2Vec를 이용한 토픽모델링의 확장 및 분석사례)

  • Yoon, Sang Hun;Kim, Keun Hyung
    • The Journal of Information Systems
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    • v.30 no.1
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    • pp.45-64
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    • 2021
  • Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

Spatial Analysis on Mismatch Between Particulate Matter Regulation Services Supply and Demand in Urban Area - A Case Study of Suwon - (도시녹지 미세먼지 조절 서비스 수요와 공급의 공간적 차이 분석 - 수원시를 대상으로 -)

  • Kang, Da-In;Kwon, Hyuk-Soo;Choi, Tae-Young;Park, Chan;Kim, Sung-Hoon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.2
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    • pp.57-69
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    • 2021
  • Urban green spaces supply ecosystem services (ESs), which are consumed by city residents and generate demand, to improve air quality. It is important to determine supply and demand for ESs and reduce the gap for efficient management. This study proposed a method to use the concept of supply and demand for ESs in the decision-making process for urban planning or management. PM10 concentrations were converted to weight for demand assessment on PM10 reduction, and PM10 absorption capacity of all green spaces including the forests, and that of urban green spaces excluding forests, was calculated for each supply assessment. The differences in the calculated supply and demand were analyzed to derive the mismatched regions in Suwon. As a result, regions with big forested areas showed sufficient supply, indicating that the degree of mismatch among administrative neighborhoods (dong) varied greatly depending on whether they had a forest. An analysis of only urban green spaces showed that all neighborhoods lacked supply. Forests with high PM10 absorption capacity had a great effect, but urban green spaces can be considered a key element in reducing PM10 in daily life. Considering the mismatch of supply and demand, spatial distribution, and population distribution, it is possible to prioritize the supply of urban green spaces to reduce PM10 and, furthermore, support decision making for priority zones subject to forest conservation and designation and cancellation of green spaces, which gives significance to this study.

Optimization of Data Placement using Principal Component Analysis based Pareto-optimal method for Multi-Cloud Storage Environment

  • Latha, V.L. Padma;Reddy, N. Sudhakar;Babu, A. Suresh
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.248-256
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    • 2021
  • Now that we're in the big data era, data has taken on a new significance as the storage capacity has exploded from trillion bytes to petabytes at breakneck pace. As the use of cloud computing expands and becomes more commonly accepted, several businesses and institutions are opting to store their requests and data there. Cloud storage's concept of a nearly infinite storage resource pool makes data storage and access scalable and readily available. The majority of them, on the other hand, favour a single cloud because of the simplicity and inexpensive storage costs it offers in the near run. Cloud-based data storage, on the other hand, has concerns such as vendor lock-in, privacy leakage and unavailability. With geographically dispersed cloud storage providers, multicloud storage can alleviate these dangers. One of the key challenges in this storage system is to arrange user data in a cost-effective and high-availability manner. A multicloud storage architecture is given in this study. Next, a multi-objective optimization problem is defined to minimise total costs and maximise data availability at the same time, which can be solved using a technique based on the non-dominated sorting genetic algorithm II (NSGA-II) and obtain a set of non-dominated solutions known as the Pareto-optimal set.. When consumers can't pick from the Pareto-optimal set directly, a method based on Principal Component Analysis (PCA) is presented to find the best answer. To sum it all up, thorough tests based on a variety of real-world cloud storage scenarios have proven that the proposed method performs as expected.

A study on the digital transformation strategy of a fashion brand - Focused on the Burberry case - (패션 브랜드의 디지털 트랜스포메이션 전략에 관한 연구 - 버버리 사례를 중심으로 -)

  • Kim, Soyoung;Ma, Jin Joo
    • The Research Journal of the Costume Culture
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    • v.27 no.5
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    • pp.449-460
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    • 2019
  • Today, the fashion business environment of the 4.0 generation is changing based on fashion technology combined with advanced digital technologies such as AI (Artificial Intelligence), big data and IoT (Internet of Things). "Digital Transformation" means a fundamental change and innovation in a digital paradigm including corporate strategy, organization, communication, and business model, based on the utilization of digital technology. Thus, this study examines digital transformation strategies through the fashion brand Burberry. The study contents are as follows. First, it examines the theoretical concept of digital transformation and its utilization status. Second, it analyzes the characteristics of Burberry's digital transformation based on its strategies. For the research methodology, a literature review was performed on books and papers, aligning with case studies through websites, social media, and news articles. The result showed that first, Burberry has reset their main target to Millennials who actively use mobile and social media, and continues to communicate with them by utilizing digital strategy in the entire management. Second, Burberry is quickly delivering consistent brand identity to consumers by internally creating and providing social media-friendly content. Third, they have started real-time product sales and services by using IT to enhance access to brands and to lead consumers towards more active participation. In this study, Burberry's case shows that digital transformation can contribute to increased brand value and sales, keeping up with the changes in the digital paradigm. Therefore, the study suggests that digital transformation will serve as an important business strategy for fashion brands in the future.

Development of e-learning support platform through real-time two-way communication (실시간 양방향 소통을 통한 이러닝 학습 지원 플랫폼의 구축)

  • Kim, Eun-Mi;Choi, Jong-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.249-254
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    • 2019
  • The concept of 'Edu-Tech', which is rapidly reorganized around e-Learning, has been spreading along with the development of intelligent information technology according to the fourth industrial revolution such as Artificial Intelligence (AI), Internet of Things (IoT), BigData. Currently, leading companies are conducting online education services, but real-time two-way communication is difficult. In addition, in the case of off-line class, there are many students, and not only the time is limited, but also they often miss the opportunities to ask questions. In order to solve these problems, this paper develops a real - time interactive question and answer management system that can freely questions both on - line and off - line by combining the benefits of offline instant answers and the advantages of online openness. The developed system is a real-time personalized education system that enables the respondent to check the situation of the questioner in real time and provide a customized answer according to the inquirer's request. In addition, by measuring and managing the system usage time in seconds, the questioner and the respondent can efficiently utilize the system.

A Study on between Human Resource Management and Merger and Acquisition: The case of D company (인수합병(M&A) 이후 HR 활용: D사의 사례를 중심으로)

  • Kim, Hyung-Ho;Han, Jung-hee
    • Journal of Industrial Convergence
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    • v.13 no.4
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    • pp.11-28
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    • 2015
  • A company have to grow constantly. If a company does not grow and stagnant, it will be finally out of the market. The contemporary companies fully make use of M&A to search for new growth engines. The reason of companies using M&A as a important tool of a business strategy is the fastest way to achieve technology power, market power, competitiveness. The form of M&A was that leading companies take over smaller companies or merger and acquisition between small companies in the middle of 2000. But now, Mega mergers between industry leading companies often occur and especially domestic of course M&A of foreign companies occurs actively. These days the boom of stock market and the big companies are pouring on sale by restructuring, privatization and the basis of low interest will make the M&A market continuously. In this study, I suggest a solution of actual human resources management by analyzing proven M&A cases and search for various problems of a gap in the leadership and communication in connection with integration of organization culture after M&A. First of all, I arrange the theoretical concept of the subject and analyze the key factors of the success M&A cases, lastly I suggested a HR strategy after M&A. After M&A, HR strategy is ; First, a company have to build a organization culture which is that merger company accommodate a excellent organizational characteristic of predecessor company with consideration of culture difference. Second, M&A must proceed to remove of anxiety about the future and employment stability by excellent leaderships. Third, organization integration after M&A is influenced by the level of integration for that reason it was verified that M&A have to make progress by communication of each 2 organizations.

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A Study on Improving the Quality of Clothing Companies: Focusing on Kutesmart using Quality 4.0 Matrix (의류기업의 품질 개선 방안 연구: Quality 4.0 매트릭스를 활용한 쿠트스마트 사례)

  • Jang, Jin Myeong;Seo, Seung Ju;Lee, Yuna;Kim, Youn Sung
    • Journal of Korean Society for Quality Management
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    • v.47 no.1
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    • pp.199-211
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    • 2019
  • Purpose: The concept of quality is changing in the quality 4.0 era with the fourth industrial revolution in the world. This research aims to understand the characteristics of well-adapted companies against the quality 4.0 era and to improve the quality of clothing companies. Methods: We analyzed companies that responded well to the quality 4.0 era, especially Kutesmart using Quality 4.0 Matrix. We focused on the service process of Kutesmart and we suggested modified service process to improve quality. We also interviewed an expert to verify this process is valid. Results: We found that two types are classified of well-adapted companies against the quality 4.0 era. Especially, Kutesmart has built a smart factory and introduced new technologies like 3D scanner and big data analysis. However, Kutesmart has a weakness in post-purchase process like other clothing companies. Kutesmart could solve this problem with modular production method for damaged part of customer. Conclusion: This research can be used for better understanding of the characteristics of well-adapted companies against the quality 4.0 era and service process of Kutesmart that is custom clothing company for providing information for benchmarking in this industry. This study suggests that further empirical researches on the costs and the efficiencies of applying the new technologies are necessary.

Person-centered Approach to Organizational Commitment: Analyses of Korean Employees' Commitment Profiles (조직몰입에 대한 사람중심 접근: 국내 직장인들의 조직몰입 프로파일 분석)

  • Oh, Hyun-Sung;Jung, Yongsuhk;Kim, Woo-Seok
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.3049-3067
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    • 2018
  • Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.