• Journal of the Korean Society of Industry Convergence
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• v.26 no.6_3
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• pp.1251-1258
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• 2023

Traditional markets are infrastructure with facilities and characteristics of very high population density. Recently, arcades have been installed through traditional market modernization policies, and aging infrastructure has been repaired. However, gas and electrical facilities of traditional markets cannot be easily replaced because of its high density. And because regular inspections are not conducted, management of facilities is on very poor condition. In addition, when a fire occurs in a traditional market, the fire easily spreads to nearby stores and is likely to spread to a large fire because of a lot of highly flammable substances. Smoke detectors and heat detectors are installed in most traditional markets to monitor fires, but malfunctions are frequent due to the nature of smoke detectors and heat detectors, and network facilities are not properly maintained. Therefore, in this study, gas detection sensors and flame detectors are additionally installed in Gwangmyeong Traditional Market, and a digital twin-based traditional market fire monitoring system is implemented in conjunction with existing sensors in the market's 3D model. With this digital twin based fire monitoring system, we can reduce the malfunctions of fire detect sensors, and can easily guide the evacuation route.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.286-293
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• 2021

Smart contract based on the blockchain technology can be applied to the real estate registry including transactions. The Ethereum coin using multi layered protocol is widely accepted as the token for the smart contract. Block chain smart contract using SOLIDITY or PYTHON can mediate transactions auch as sale or lease, creating various scenarios in the property market. Those smart contract can construct the basis for the blockchain real estate registry, which is expected to overcome conventional transaction costs concerning the national law system, the asymmetric information and the currency exchange. The advantages of blockchain technology, namely security, decentralization, global transparency and openness can be applied to the smart contract system on the property registry. Several countries have advanced such blockchain real estate registry project recently, but no actual implementation has been reported for years, owing to institutional and technological impasses.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.47-55
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• 2013

In this paper, we propose the micropayment model based on NFC, authentication, and privacy technique to support micro-payment in aspect of information technology to reinvigorate the traditional market. The micropayment model supports facilities of payment using smart phone based on NFC, and the encryption and tokenization support the functions of MD authentication, indirection authentication, and privacy of user's payment.

• The Magazine for Energy Service Companies
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• s.84
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• pp.8-11
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• 2013

지난 5월 28일 국무회의에서 박근혜 대통령은 "과학기술을 통한 에너지 효율성을 제고하거나 낭비를 막는 방법도 있고 스마트 그리드 같은 IT기술을 이용해서 실시간으로 자신이 얼마를 소모하는지 알려줌으로써 스스로 아껴 쓸 수 있는 방법이 있는데, 그런 방안도 적극 연구해 달라"고 당부했다. 실제로 우리 산업은 현재 ICT기술과 전력시장을 창조적으로 융합하여 새로운 시장을 형성하고, 이를 통해 신(新)성장동력, 신(新)서비스업을 육성해야 하는 시점에 직면해 있다. 전력공급에 소요되는 사회적 비용이 급증하여 빠른 속도로 증가하는 수요를 충족시키는데 많은 어려움이 있는 것도 사실이다. 늘어나는 수요에 따라 공급을 확대하는 공급중심 정책에서 합리적으로 수요를 줄인 후 공급을 확대하는 수요관리 중심의 정책으로 전환이 필요한 때이다. * 연평균 전력소비증가율('00~'10년, %) : 한국 5.3('10년 10.1), 일본 0.2, 미국 0.7, OECD 평균 1.0 최근 다각도로 전력 사용을 줄이기 위한 이벤트가 실시되고 있는데 실내온도 제한 등 일시적 절약에서 벗어나, 세계적 수준의 우리 ICT기술을 활용하여 근본적이고 시스템적인 수요관리 추진이 필요하다. 한편 전력수급 위기를 새로운 시장창출의 기회로 만드는 발상의 전환을 통해 창조경제시대의 신성장동력과 일자리를 창출하게 되는 기회가 될 수 있다. 이는 전통적인 에너지산업에 2차전지산업, 소프트웨어 산업을 융합하여 ESS, EMS, LED 등 ICT기반 에너지 신산업 시장 진출을 의미한다. 이번호에서는 ESS(Energy Storage System)라고 불리는 에너지저장장치에 대해 살펴보고자 한다.

• Information Systems Review
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• v.18 no.4
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• pp.141-154
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• 2016

Mobile application is growing explosively with the advent of a new technology: smartphones. Mobile application is a new marketing channel and performs as a start-up platform. This study examines the effect of mobile application on the off-line market. Despite the continuous declining demand for taxi service, paradoxically, the supply of taxi service has increased. The taxi industry can be categorized into general taxi and call taxi. General taxi is accidental and inefficient because it has to search for its own passenger. As call taxi takes the request of a passenger, it is more efficient than general taxi. However, the current defective passenger-taxi driver matching system and insufficient taxi driver management hinder the development of the call taxi market. Differences in differences (DID) is an econometrical methodology that examines whether or not an event has meaningful influence. This research uses DID to investigate the effect of the Kakao taxi application on the call taxi industry. Furthermore, it examines the effect of major companies' reckless diversification, which is considered unethical behavior. The passengers of call taxi data from August 2014 to July 2015 and those of designated driving service data of the same period were collected as the control group.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.263-272
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• 2013

Printed electronics creates electrically functional devices by printing on variety of substrates. Printing typically uses common printing equipment or other low-cost equipment suitable for defining patterns on material, such as screen printing, flexography, gravure, offset lithography and inkjet. Compared to conventional manufacturing of microelectronics, printed electronics is characterized by simpler and more cost-effective fabrication of high and low volume products. Now there is huge effort towards printing many other more functional components, from displays to transistors to photovoltaic cells, using the full range of printing technologies - from inkjet to roll to roll analogue print techniques. The market for printed electronics will rise from $1.99 billion in 2010 to $55.10 billion in 2020. In 2030, this industry could be $300 billion - larger than the silicon semiconductor industry - from lighting to displays[8].

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.903-906
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• 2015

Over the recent industry -wide virtual world and the real world, broadcasting and telecommunications, IT technology and traditional industries, such as the fusion research has been conducted in a variety of fields. And training in the field of education is changing the paradigm of creativity to break the intrusive training center. In addition, the quality of interactive educational content technology to foster self-directed future talent is a situation that is required. The market has already surpassed the smartphone PC, smart devices and e-learning technologies are appearing new service called 'smart learning' as a new form of convergence of the educational system. In this paper, based on the direct development of a content authoring applications and Web sites, and cloud environments to the students collect and analyze patterns. Utilizing this information, we studied the curation service plans that recommend the appropriate content to fit the tastes of the learner.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.228-229
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• 2019

Autonomous Ships are emerging as a game changer that transform the paradigm in the traditional manufacturing-oriented shipbuilding and shipping industries of simple cargo transportation. Accordingly, this paper also introduced detailed plans to develop the autonomous ships and to promote innovative growth engines.

• Smart Media Journal
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• v.8 no.4
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• pp.58-63
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• 2019

The growth of the mobile device market has changed the education market and led to the quantitative growth of various media education. In particular, smart devices, which have better interaction than existing PCs or consoles, can develop more user-friendly content, allowing various types of educational content and inducing changes in traditional education methods for consumers. Although many researchers recently suggest viable development methods or marketing elements of contents, development companies, and developers, until now, merely rely on the human senses. Therefore, it is necessary to study the actual user's smart-device based usability and experience environment. This study aims to propose an intuitive statistical processing method for analyzing the usability of game-type educational contents in terms of form, for popular games that have been released as a basis for analyzing the user experience environment. In particular, because the game industry has a sufficient number of similar examples, it is possible to conduct research based on big data and to use them for immediate decision-making between multiple co-developers through the analysis method proposed by the research. It is expected to become an analytical model that can communicate with other industries because it is effective in securing data sources.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.187-194
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• 2019

Traditional demand forecasting methods are difficult to meet the needs of companies due to rapid changes in the market and the diversification of individual consumer needs. In a diversified production environment, the right demand forecast is an important factor for smooth yield management. Many of the existing predictive models commonly used in industry today are limited in function by little. The proposed model is designed to overcome these limitations, taking into account the part where each model performs better individually. In this paper, variables are extracted through Gray Relational analysis suitable for dynamic process analysis, and statistically predicted data is generated that includes characteristics of historical demand data produced through ARIMA forecasts. In combination with the LSTM model, demand forecasts can then be calculated by reflecting the many factors that affect demand forecast through an architecture that is structured to avoid the long-term dependency problems that the neural network model has.