• Title/Summary/Keyword: global management

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Magnetic Markers-based Autonomous Navigation System for a Personal Rapid Transit (PRT) Vehicle (PRT 차량을 위한 자기표지 기반 무인 자율주행 시스템)

  • Byun, Yeun-Sub;Um, Ju-Hwan;Jeong, Rag-Gyo;Kim, Baek-Hyun;Kang, Seok-Won
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.297-304
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    • 2015
  • Recently, the demand for a PRT(Personal Rapid Transit) system based on autonomous navigation is increasing. Accordingly, the applicability investigations of the PRT system on rail tracks or roadways have been widely studied. In the case of unmanned vehicle operations without physical guideways on roadways, to monitor the position of the vehicle in real time is very important for stable, robust and reliable guidance of an autonomous vehicle. The Global Positioning System (GPS) has been commercially used for vehicle positioning. However, it cannot be applied in environments as tunnels or interiors of buildings. The PRT navigation system based on magnetic markers reference sensing that can overcome these environmental restrictions and the vehicle dynamics model for its H/W configuration are presented in this study. In addition, the design of a control S/W dedicated for unmanned operation of a PRT vehicle and its prototype implementation for experimental validation on a pilot network were successfully achieved.

A Study on the Impact of Supply Chain Partnership on Performance of Suppliers (공급망 파트너십이 협력업체 성과에 미치는 영향)

  • Park, Sung-Wook;Park, Seong-Taek
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.169-179
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    • 2013
  • Small and medium-sized firms are increasingly dependent on the knowledge and expertise of the supply chain as a whole to innovate and improve supply chain performance. This research examines the capabilities that enable firms to collaborate successfully, and aims to identify the determinants of SCM performance of the suppliers participating in supply chains managed by Global Korean companies. This study proposes the technology support, the collaboration with tier two companies, incentives and information sharing as major research variables, and collected the survey responses from 58 domestics suppliers. The statistical results indicate that the incentives, technology support and the collaboration with tier two firms influence the level of co-work with the firm leading supply chain, and that information sharing has some impact on SCM performance of the suppliers. But on the contrary to our expectation, the co-work with the firm leading supply chain has only moderate impact on SCM performance with p value just over 5%. We conclude this paper with some suggestions for future research.

Human Tracking Technology using Convolutional Neural Network in Visual Surveillance (서베일런스에서 회선 신경망 기술을 이용한 사람 추적 기법)

  • Kang, Sung-Kwan;Chun, Sang-Hun
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.173-181
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    • 2017
  • In this paper, we have studied tracking as a training stage of considering the position and the scale of a person given its previous position, scale, as well as next and forward image fraction. Unlike other learning methods, CNN is thereby learning combines both time and spatial features from the image for the two consecutive frames. We introduce multiple path ways in CNN to better fuse local and global information. A creative shift-variant CNN architecture is designed so as to alleviate the drift problem when the distracting objects are similar to the target in cluttered environment. Furthermore, we employ CNNs to estimate the scale through the accurate localization of some key points. These techniques are object-independent so that the proposed method can be applied to track other types of object. The capability of the tracker of handling complex situations is demonstrated in many testing sequences. The accuracy of the SVM classifier using the features learnt by the CNN is equivalent to the accuracy of the CNN. This fact confirms the importance of automatically optimized features. However, the computation time for the classification of a person using the convolutional neural network classifier is less than approximately 1/40 of the SVM computation time, regardless of the type of the used features.

University Students' Perceptions of Class Activities in Business Major English Class and Its Implication for Good Business English Reading ('비즈니스 전공영어' 수업활동에 대한 학생들의 인식 및 시사점)

  • Kim, Bu-Ja
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.35-46
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    • 2017
  • According to domestic and foreign research, one of the common characteristics of good teaching is a variety of class activities. To make 'Business Major English' a good class, the researcher used a variety of class activities such as professor explanation, group activities & presentation, vocabulary quizzes, reading comprehension, homework and test feedback. The participants were 39 junior students who took 'Business Major English' in 2015 and 2016. Data on student perception were gathered from questionnaires. The analysis of the data showed, first, that the class activity the students preferred the most was professor explanation. Second, the class activity which was the most helpful in understanding text content and English sentence structures was professor explanation. Third, there were not many students preferring group activities & presentation and the students found group activities & presentation the least helpful in understanding text content and English sentence structures. Given the results, this study implies that for English class activities, students' preferences and the help they perceive have a relation to the characteristics of a class and students' English proficiency.

A Study on the Acceptance Decision Factors for Mobile Easy Payment Services in Digital Convergence Media Ara: Focusing Samsung Pay (디지털융합미디어시대 모바일 간편 결제서비스 수용결정요인에 관한 연구: 삼성페이를 중심으로)

  • Kim, Cha-Keun;Kim, Joung-Gun;Choi, Seong-Jhin
    • Journal of Digital Convergence
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    • v.15 no.4
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    • pp.213-221
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    • 2017
  • The purpose of this study was to examine the acceptance decision factors for mobile easy payment services focused on samsung pay. To attain these purpose, the subjects for data were 229 university students. The data were analyzed by path analysis using SPSS 21 program and AMOS program. The results were as follows: First, Perceived ease of use influenced positively on mobile easy payment service attitude. Second, Perceived usefulness influenced positively on mobile easy payment service attitude. Third, Perceived ease of use influenced positively on intention of continuous use. Fourth, Perceived usefulness influenced positively on intention of continuous use. Fifth, Attitude influenced positively on intention of continuous use. Sixth, Perceived risk influenced not significantly on intention of continuous use. This study identified the acceptance decision factors for mobile easy payment services as perceived ease of use, perceived usefulness and attitude.

A Study on the Policy Trends for the Revitalization of Medical Big Data Industry (의료 빅데이터 산업 활성화를 위한 정책 동향 고찰)

  • Kim, Hyejin;Yi, Myongho
    • Journal of Digital Convergence
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    • v.18 no.4
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    • pp.325-340
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    • 2020
  • Today's rapidly developing health technology is accumulating vast amounts of data through medical devices based on the Internet of Things in addition to data generated in hospitals. The collected data is a raw material that can create a variety of values, but our society lacks legal and institutional mechanisms to support medical Big Data. Therefore, in this study, we looked at four major factors that hinder the use of medical Big Data to find ways to enhance use of the Big Data based healthcare industry, and also derived implications for expanding domestic medical Big Data by identifying foreign policies and technological trends. As a result of the study, it was concluded that it is necessary to improve the regulatory system that satisfies the security and usability of healthcare Big Data as well as establish Big Data governance. For this, it is proposed to refer to the Big Data De-identification Guidelines adopted by the United States and the United Kingdom to reorganize the regulatory system. In the future, it is expected that it will be necessary to have a study that has measures of the conclusions and implications of this study and to supplement the institutional needs to play a positive role in the use of medical Big Data.

Current Status of Response to Digital Child Sexual Slavery and Comparative Analysis of Overseas Crime Prediction System Using Artificial Intelligence (디지털 아동 성착취 대응현황과 해외 인공지능 범죄 예측 시스템 비교분석)

  • Kim, Hyejin
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.357-368
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    • 2020
  • This study identifies the aspects and characteristics of 'Digital Sexual Crimes' that changed rapidly in recent years. It has identified the so-called "Telegram sexual harassment and exploitation" incident on the front page. We also want to analyze this and draw up policy suggestions that can help prepare social measures. In the wake of the Telegram sexual exploitation scandal, The National Assembly is quickly proposing related bills. However, the reality is that even a clear concept and definition of "Digital sexual Crimes" have not been made yet. The effective support system for victims is also insufficient. Therefore, this paper examines the definition and concept of child sexual exploitation and harassment. We will look at the features, causes, and conditions. In addition, it will examine the current status of Digital Sexual Crimes distribution and deletion of domestic, foreign platforms. Major foreign countries, including the U. S. A. refer to cases in which big data and artificial intelligence technologies are actively used to protect victims and track perpetrators.

Consideration of preservation methods for plant genetic resources in natural monument - Focusing on preparation for becoming effective of Nagoya Protocol - (천연기념물 식물유전자원의 보존방안 고찰 - 나고야의정서 발효 대비 중심으로 -)

  • Kim, Jung A;Kim, Hyo Jeong;Shin, Jin Ho;Kim, Dae Yeol;Jo, Woon Yeon
    • Korean Journal of Agricultural Science
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    • v.41 no.3
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    • pp.193-203
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    • 2014
  • Natural Monument is a designated cultural property as part of the country. According to Article 2 of the Cultural Properties Protection Act, a national, ethnic and global heritage artificially or naturally formed, with a great historical, artistic, scientific and landscape significance is defined as a cultural heritage. Animals, plants, topography, geology, minerals, caves, biological products and special natural phenomena, having a great of historic, scenic and scientific value, are defined as the monument. According to Article 3 of Cultural Properties Protection Act, the conservation, management and utilization of National Heritage should be kept intact in its original form. So, Natural monuments are managing as retained its original form under the Basic Principles of current law. The highest population of coniferous tree in natural monument plant is ginkgo tree including 22 objects, followed by pines, junipers that order. And in case of broadleaf tree, there are zelkova trees, retusa fringe trees, pagoda trees, cork oaks, silver magnolias and etc. There are many of reported efficacy in available natural monument plants. The efficacy of plant species on pharmaceutical like anti-cancer, anti-diabetic, anti-obesity, antioxidant activity, neuroprotective, improves cholesterol, anti-inflammatory, liver protection and anti-bacterial efficacy, on cosmetics and beauty like the inhibiting formation of skin wrinkles, whitening effect, variety of materials and the efficacy of the proposed utilization of its various papers and etc have been widely reported. Before the Nagoya Protocol enters into force, the future role of the National Research Institute for Cultural Properties Administration of Cultural Heritage should be obtain a legal right to manage the social, cultural and national natural monument with emotional value to the plant genetic resource as a natural monument efficient ways to study and preserve traditional knowledge biological resources by securing a claim to the sovereignty of the material will be ready.

A Study on the Architecture of Cloud Hospital Information System for Small and Medium Sized Hospitals (중소형 병원의 클라우드 병원정보시스템 서비스 체계에 관한 연구)

  • Lee, Nan Kyung;Lee, Jong Ok
    • The Journal of Society for e-Business Studies
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    • v.20 no.3
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    • pp.89-112
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    • 2015
  • Recently, the business environment of healthcare has changed rapidly due to the entering the mobile era, the intensifying global competition, and the explosion of healthcare needs. Despite of necessity in expanding new IT-based medical services and investing IT resources to respond environmental changes, the small and medium sized hospitals could not realize these requirements due to the limited management resources. CHISSMH is designed and presented in this research to provide high valued clouding medical services with reasonable price. CHISMH is designed and presented in this research to provide high valued medical services with reasonable price through cloud computing. CHISME is designed to maximize resource pooling and sharing through the visualization. By doing so, Cloud Service provider could minimize maintenance cost of cloud data center, provide high level services with reasonable pay-per-use price. By doing so, Cloud Service provider could minimize maintenance cost of cloud data center, and could provide high level services with reasonable pay-per-use price. CHISME is expected to be base framework of cloud HIS services and be diffusion factor of cloud HIS services Operational experience in CHISSMH with 15 hospitals is analyzed and presented as well.

Comparative Analysis on Competitiveness between Ports in Northeast Asia Employing Shift-share Analysis and DEA (변이할당기법과 DEA를 활용한 동북아시아 항만간 경쟁력 비교 분석)

  • Lee, Choongbae;Kwon, A Rim
    • Journal of Korea Port Economic Association
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    • v.30 no.4
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    • pp.219-254
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    • 2014
  • Due to the recent development of globalization and supply chain management, growth of international trade has led to increasing cargo volume around the world. Since maritime logistics environments have changed, increased container ship size, improvement of harbor equipment, global port operation and rapid technological development have had an significant effects on shipping and port industry, which is contributing to competitiveness of port. Since a larger volume of port throughputs are generally regarded as an indicator of the more competitive port, inefficient port operation could reduce its competitiveness. On the other hand, high efficient ports could increase their competitive power while increasing cargo volume. This study aims at comparing competitiveness of the ports in the Northeast Asia by investigating changes of container throughputs and evaluating efficiency performance of ports. Shift-Share analysis and Data Envelopment Analysis(DEA) have been conducted with 21 Northeast Asian ports and then separated them into 4 groups for comparative analysis to identify competitive position of each port. The results of this study show that Incheon and Gwangyang port have been decreased container cargo volume, while volume of Busan port would increase by means of active marketing, various route development and incentive policy for the port.