• Title/Summary/Keyword: LG산업

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Mouse Gesture Design Based on Mental Model (심성모형 기반의 마우스 제스처 개발)

  • Seo, Hye Kyung
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.3
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    • pp.163-171
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    • 2013
  • Various web browsers offer mouse gesture functions because they are convenient input methods. Mouse gestures enable users to move to the previous page or tab without clicking its relevant icon or menu of the web browser. To maximize the efficiency of mouse gestures, they should be designed to match users' mental models. Mental models of human beings are used to make accurate predictions and reactions when certain information has been recognized by humans. This means providing users with appropriate information about mental models will lead to fast understanding and response. A cognitive response test was performed in order to evaluate whether the mouse gestures easily associate with their respective functional meanings or not. After extracting mouse gestures which needed improvement, those were redesigned to reduce cognitive load via sketch maps. The methods presented in this study will be of help for evaluating and designing mouse gestures.

Artificial Intelligence Service Robot Market Trend (인공지능 서비스 로봇 시장의 동향)

  • Hwang, Eui-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.111-112
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    • 2021
  • 로봇은 인공지능(AI) 기술을 비롯해 빅데이터, 센서기술, 클라우드 등 다양한 신 분야의 축적된 기술력과 노하우를 필요로 한다. 코로나 19 여파로 비대면 서비스에 대한 수요가 증가하고 정보통신기술이 발전되고 있는 가운데 청소용, 잔디 깎기, 가사용, 동반자, 엔터테인먼트 및 레저용, 노약자 및 장애인 지원 로봇 등 우리생활 주변에서도 서비스 로봇이 빠르게 도입되고 있다. 본 논문에서는 최근 3년간(2018.1~2020.12) 중앙지, 경제지 등 54개 언론사 기사를 빅카인즈와 데이터랩을 이용하여 서비스 로봇&인공지능을 키워드로 관계도 분석, 키워드 트렌드, 연관어 분석을 하였다. 연관어 키워드 빈도수로는 인공지능(534), LG전자(157), 드론(112), 자율주행(101), 빅데이터(81), 로보티즈(61), 사물인터넷(34) 순으로 서비스 로봇의 성장은 인공지능을 비롯한 4차 산업혁명 관련 기술과 연관성이 매우 컸다. 2016년~2020년 기간에 산업용 로봇은 1.89배 증가했으며, 서비스 로봇은 5.21배 증가하여 서비스 로봇의 수요가 다양한 분야에서 확산됨을 확인할 수 있었다.

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Forecasting Competition of Telecommunication Company in Full Browsing Service Market Based on First-Mover Advantage Analysis (풀브라우징 서비스 시장에서의 이동통신 3사의 경쟁 동향 분석: 선발자 이익 분석 관점)

  • Park, Jin-Soo;Choi, Young-Seok
    • Information Systems Review
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    • v.12 no.1
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    • pp.145-164
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    • 2010
  • Since the third generation (3G) mobile communication service has been launched by most mobile communication operators in Korea, the portion of data service in mobile communication service becomes one of the most important factors in mobile communication service market. In past mobile communication market, most mobile communication operators made their profit mostly from voice communication service. However, the portion of profit from data service has gradually increased based on both video phone call and mobile Internet service. In this situation, LG telecom launched the full browsing mobile Internet service. This service provides a new type of mobile Internet service platform which enables to access the World Wide Web using mobile browsers, so we generally access the Web using web browsers in the desktop computer. Under the open network structure of mobile Internet like situation, it is very important to analyze the factors which can affect the competition between mobile communication service companies. So, in this paper, we first present the current state of full browsing service, followed by the expectation of its growth potentials and barriers. Then, we analyze the advantages and disadvantage of LG telecom as a first-mover and SK telecom/KTF as followers. Finally, based on this analysis, we predict the future competition among these companies and the market.

Applications of Mathematical Optimization Method for Chemical Industries (화학 산업에서 수학적 최적화 기법을 적용한 사례)

  • Kim, Eun-Yong;Heo, Soon-Ki;Lee, Kyu-Hwang;Lee, Hokyung
    • Korean Chemical Engineering Research
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    • v.58 no.2
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    • pp.209-223
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    • 2020
  • Executions of SCM in a chemical company of which divisions produce petrochemicals, compounds, batteries, IT material and medicine directly affect their own profit. Execution level of SCM or optimization is very important. This work presents activities of SCM and optimization of inefficient issues in several industrial divisions using mathematical optimization method. The meaning is not only academic research but also making a useful tool which active partner deals with in his work. It is explained how to do beforehand and afterward optimization problem. The benefits are mentioned in the sections. The first of examples would be cover supply plan optimization, optimal profit business plan, and scheduling of a stretching process of polarizer based on minimizing raw material loss in polarizer production. The second example would be cover the optimization of production/packaging plans to maximize productivity of Poly Olefin processes, and the third example is minimization of transition loss in the production of battery electrodes. The fourth example would be cover scheduling of vessel approaching to berth. Because transportation of large portion of raw material and products of petrochemical industry is dealt with vessel, scheduling of vessel approaching to berth is important at the shore of large difference of tide. The final example would be scheduling problem to minimization of change over time of ABS semi products.

Review on the Development History of Korean Textile and Fashion Companies and Chaebols - Based on Corporate Life Cycle Theory - (한국 섬유패션 기업과 재벌 발전 역사 고찰 - 기업생명주기이론에 근거하여 -)

  • Yu, Haekyung
    • Fashion & Textile Research Journal
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    • v.23 no.5
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    • pp.598-610
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    • 2021
  • Korean textile and fashion companies have played a major role not only in developing the Korean economy since Korea's industrialization started in the early 1960s but also in providing opportunities to form and expand chaebols (conglomerates of family-owned businesses). This study reviewed and analyzed the historical development of chaebols, which started the fiber/textile/fashion business before the 1960s and maintained their chaebol status until 2010. The Samsung, Samyang, Kolon, Taekwang, Hyosung, LG, and SK groups were included in the study, and data were collected from diverse sources, including the publications and websites of the chaebol companies, newspapers, magazines, and research articles. The strategies of the companies at the corporate and group levels were examined based on the corporate lifecycle, which consists of existence, growth, maturity, rebirth, and decline stages. The results showed that all the analyzed companies actively engaged in product line expansion during the growth stage. Vertical integration, especially backward integration, was common during the growth stage. Some groups established new companies to manage additional product lines and integration, while others pursued growth strategies mainly at the corporate level. The rebirth stage occurred in only a few companies and groups. Some seemed to be going through the decline stage, and the rest of the groups exited the textile and fashion business.

A Study on the Establishment of Automobile Logistics Cluster in PyeongtaekDangjin Port (평택당진항의 자동차 물류 클러스터 구축방안)

  • Baik, Jong-Sil
    • Journal of Korea Port Economic Association
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    • v.35 no.4
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    • pp.147-168
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    • 2019
  • This paper explores strategies for building an automobile logistics cluster in PyeongtaekDangjin Port, which needs to be developed and operated for automobile related value-added logistics services. The future of Korean automobile exports seems gloomy, but many domestic ports, including PyeongtaekDangjin Port, are struggling to secure a position as automobile ports by expanding port facilities to attract exports and transshipment vehicles. PyeongtaekDangjin Port is currently the best automobile port as it is under good conditions for building an automobile logistics cluster. Ssangyong Motor Co., Kia Motors Corp., Samsung Electronics Co., and LG Electronics Inc., which are located nearby, can secure enough land to build an automobile logistics cluster by developing a port distribution complex in the future. This will promote the sustainable development of PyeongtaekDangjin Port by creating a logistics hub, specifically an automobile logistics hub, which would allow diverse cultures and experiences to respond appropriately to future mobility development.

The Chemical Aspects on Hydrotreating Catalysis for Residue (잔사유의 수소화처리 촉매공정에 대한 화학적 고찰)

  • Jeon, Min-Seok;Lee, Youngjin;Jung, Hoi-Kyoeng;Kim, Hyung-Jong;Yoon, Seong-Ho;Kim, Taegon;Park, Joo-Il
    • Korean Chemical Engineering Research
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    • v.57 no.4
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    • pp.455-460
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    • 2019
  • Hydrotreating catalysis refers to a various hydrogenation which saturate an unsaturated hydrocarbon, together with removing heteroatoms such as sulfur, nitrogen, oxygen, and trace metals from different petroleum streams in a refinery. Most refineries include at least three hydrotreating units for upgrading naphtha, middle distillates, gas oils, intermediate process streams, and/or residue. Among them, hydrotreating catalysis for residue are the core of the process, because of its complexity. This article reviews recent progress in tackling the issues found in the upgrading residues by hydrotreating, focusing on the chemistry of hydrodemetallization (HDM) and hydrodesulfurization (HDS). We also discuss the composition and functions of hydrotreating catalysts, and we highlight areas for further improvement.

Configuration Method of AWS Security Architecture for Cloud Service (클라우드 서비스 보안을 위한 AWS 보안 아키텍처 구성방안)

  • Park, Se-Joon;Lee, Yong-Joon;Park, Yeon-Chool
    • Journal of Convergence for Information Technology
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    • v.11 no.7
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    • pp.7-13
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    • 2021
  • Recently, due to the many features and advantages of cloud computing, cloud service is being introduced to countless industries around the world at an unbelievably rapid pace. With the rapid increase in the introduction of multi-cloud based services, security vulnerabilities are increasing, and the risk of data leakage from cloud computing services are also expected to increase. Therefore, this study will propose an AWS Well-Architected based security architecture configuration method such as AWS standard security architecture, AWS shared security architecture model that can be applied for personal information security including cost effective of cloud services for better security in AWS cloud service. The AWS security architecture proposed in this study are expected to help many businesses and institutions that are hoping to establish a safe and reliable AWS cloud system.

A Study of Developing Wear Tester to Measure and Minimize Particle Levels in Cleanroom (장비 구동부품 기인 Particle 평가를 위한 마모측정기의 개발에 관한 연구)

  • Park, Kwang Hee;Noh, Kwonhak;Chang, Sung Ho;Lee, Jonghwan;Cha, Young Cheul;Chun, Hae Dong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.2
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    • pp.1-7
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    • 2013
  • Cleanroom could be largely classified into industrial cleanroom that can be contaminated by particles and bio-cleanroom that can be contaminated by biological particles. Electrical manufacturing companies producing precision machines and electrical parts essentially have industrial cloom facilities and clean technologies to produce defects free products due to particles. Industrial cleanroom should be controlled in respect of 4M1E to prevent from foreign materials of sub-micro unit and to keep out contamination sources from outside. In this paper, a concept for a quantitative methodology to measure the particles from running components was suggested by combining both newly making clean booth such as wear tester and laser particle counter.

Trend Analysis on Clothing Care System of Consumer from Big Data (빅데이터를 통한 소비자의 의복관리방식 트렌드 분석)

  • Koo, Young Seok
    • Fashion & Textile Research Journal
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    • v.22 no.5
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    • pp.639-649
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    • 2020
  • This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.