• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.659-661
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• 2022

본 논문에서는 4차 산업의 제조 혁신을 위한 새로운 방안의 스마트 팩토리를 실헌하기 위한 주요 부품 중에 하나인 리니어 모션 가이드(LM 가이드)에 필요한 센싱 시스템을 제안하였다. 공장 자동화와 정밀 측의 핵심 부품인 LM 가이드를 고정밀, 고정도로 제어할 수 있는 변위 센싱 시스템의 개발이다. 기존의 광학식이나 자기식 변위 센서 기술의 한계를 극복할 수 있도록 와전류(Eddy Current) 기법을 이용하여 LC 공진기와 전도체를 LM 가이드에 장착할 수 있도록 제안하였다. 또한 와전류 센싱부에서 출력되는 미세 인덕턴스 값을 측정할 수 있도록 디지털 신호처리 기술과 컴퓨터/산술 기술을 FPGA를 이용한 HW 시스템을 제작하여 다양한 실험을 진행했다. 본 논문에서 구현한 HW 센싱 시스템을 이용함으로 LM 가이드를 실시간으로 직선 이동시킴으로 실시간으로 변위 값을 디스플레이 부로 출력되어 측정이 가능하다. 개발된 시스템은 LM 가이드의 직선 운동시 변위 값의 분해능과 응답속도 면에서 우수함이 확인됨으로 스마트 팩토리 뿐만 아니라 다양한 장비에도 적용이 가능하다.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.385-392
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• 2023

The smart tourism service provides tourists with personal travel planner services and context-awareness-based tour guide services. In this paper, we propose the personal travel planner service that creates my travel itinerary using the smart tourism app and the travel planner system. The smart tourism app provides recommended travel products and POI tourist information used to create my travel itinerary. The smart tourism app also provides the smart tourism chatbot service that allows users to select POI tourist information easily and conveniently. The travel planner system consists of the smart tourism information system and the smart tourism chatbot system. The smart tourism information system provides users with travel planner services, recommended travel products, and POI tourism information through the smart tourism app. The smart tourism chatbot system consists of named entity recognition (NER), dialogue state tracking (DST), and Neo4J servers, and provides chatbot services as a smart tourism app. Users can create their own travel itinerary, modify the travel itinerary while traveling, and then register it as a recommended travel product to users, including acquaintances.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.89-97
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• 2019

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.63-69
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• 2022

We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.3
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• pp.381-385
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• 2019

In this Study, as the structure of smart phone display becomes thin to catch up with slim product trend, the reliability of display module is on the rise as a issue for product design. Especially, almost part of cellular phone should undergo drop test when they fall 1.5m above ground. Thus many manufacturers have considered design guide line using CAE and simulation for more efficive usage of limited resources om the martket. This test simulates the case when cellular phone slips through user's flingers while he is talking on the phone. This paper studies a drop simulation of glass for display in smart phone. This design for reliability improvements are suggested on the basis of the results of FE Analysis and display of smart phone design.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.101-106
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• 2017

In this paper, we present Emergency exit signs are installed to provide escape routes or ways in buildings like shopping malls, hospitals, industry, and government complex, etc. and various other places for safety purpose to aid people to escape easily during emergency situations. In case of an emergency situation like smoke, fire, bad lightings and crowded stamped condition at emergency situations, it's difficult for people to recognize the emergency exit signs and emergency doors to exit from the emergency building areas. This paper propose an automatic emergency exit sing recognition to find exit direction using a smart device. The proposed approach aims to develop an computer vision based smart phone application to detect emergency exit signs using the smart device camera and guide the direction to escape in the visible and audible output format. In this research, a CAMShift object tracking approach is used to detect the emergency exit sign and the direction information extracted using template matching method. The direction information of the exit sign is stored in a text format and then using text-to-speech the text synthesized to audible acoustic signal. The synthesized acoustic signal render on smart device speaker as an escape guide information to the user. This research result is analyzed and concluded from the views of visual elements selecting, EXIT appearance design and EXIT's placement in the building, which is very valuable and can be commonly referred in wayfinder system.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.77-92
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• 2012

To explore the directions of 'Smart Education', we conduct a delphi survey field experts related to it recognized new educational paradigm of 21st century. As a result we can deduct common ground on educational goal, contents, method, evaluation, environment of 'Smart Education'. On the basis of these results, we develop a Smart Education Model to be able to provide a guide in the field. It is a systemic education model consisting of interrelated educational contents, method, evaluation, and environment of 'Smart Education' organically for education goal (e.g., Smart education should spread out for students living on 21st century to solve the problem with cooperation and communication, enhance creativity, and build their good character). We anticipate that this study will be useful in the field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1835-1841
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• 2013

With the increase in smartphone users, attacks targeting smartphone malware, zombie smartphone, such as smart phones is increasing. Security of smart phones is more vulnerable than PC security, for a zombie smartphone and generates a serious problem than the zombie PC attack on the smartphone every day is diversification. In this paper, the comparative analysis of malicious code and smartphone DDoS attacks and DDoS attacks from the PC, When using a service by connecting to the data network, proposes a method for users to confirm the packet smartphone direct a method for detecting by using the PC malware Smart PC Phone. Propose the measures of malicious code and smartphone DDoS attacks.