• 제어로봇시스템학회논문지
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• 제3권1호
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• pp.77-88
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• 1997

Fieldbus is the lowest level communication network in factory automation and process control systems. Performance of factory automation and process control systems is directly affected by the data delay induced by network traffic. Data generated from several distributed field devices can be largely divided into three categories: sporadic real-time, periodic real-time and non real-time data. Since these data share one fieldbus network medium, the limited bandwidth of a fieldbus network must be appropriately allocated to the sporadic real-time, periodic real-time and non real-time traffic. This paper introduces a new fieldbus design scheme which allocates the limited bandwidth of fieldbus network to several different kinds of traffic. The design scheme introduced in this study not only satisfies the performance requirements of application systems interconnected into the fieldbus but also fully utilizes the network resources. The design scheme introduced in this study can be applicable to cyclic service protocols operated under single-service discipline. The bandwidth allocation scheme introduced in this study is verified using a discrete-event/continuous-time simulation experiment.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.570-571
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• 2017

최근 새로운 시장의 요구에 부응할 수 있도록 기존의 대량생산에서 다품종소량생산, 개인화 생산체계로 전환되고 있다. ICT의 기술발전과 제조융합을 통해서 기존 자동화 공정에서 지능화된 공정으로 발전하고 있다. 점차적으로 3D프린터가 보급 확산됨에 따라 3D프린팅기술은 제조업 및 산업 분야에서 신산업혁명을 주도하는 기술로 각광받고 있다. 본 논문에서는 개인화 제조 서비스를 위하여 최적화된 IoT기반 멀티 3D프린터 관리 구조 및 제어 방법에 대하여 제안하고 구현하였다.

• Journal of Multimedia Information System
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• 제9권3호
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• pp.209-218
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• 2022

Industrial IoT applications, including smart factories, require two problem-solving to build data monitoring systems required by services from distributed IoT sensors (smart sensors). One is to overcome proprietary protocols, data formats, and hardware differences and to uniquely identify and connect IoT sensors, and the other is to overcome the problem of changing the server-side data storage structure and sensor data transmission format according to the addition or change of service or IoT sensors. The IEEE 1451.4 standard-based or IPMI specification-based smart sensor technology supports the development of plug-and-play sensors that solve the first problem. However, there is a lack of research that requires a second problem-solving, which requires support for the plug-in of IoT sensors into remote services. To propose a solution for the integration of these two problem-solving, we present a IoT sensor platform, a service system architecture, and a service plugin protocol for the MQTT-based IIoT application environment.

• 품질경영학회지
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• 제44권2호
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• pp.265-276
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• 2016

Purpose: This paper reviews the papers on service quality issues which are published in the Journal of the Korean Society for Quality Management (KSQM) since 1965. The literature review is purposed to survey a variety of service quality issues for several categories in terms of industry as well as research model. Methods: By use of the double diamond design process model 71 papers are analyzed 4 stages which are discover, define, develop and deliver. And all of service quality issues are classified into 4 categories: service factory, mass service, service shop and professional service by the service process matrix typology. Results: According to this review, there are several features of research trends. There are 'from physical service to information-intensive service pattern' and 'from private sector to public sector pattern'. And the Kano model has been a steady-selling model to measure the service quality as like a SERVQUAL. Another meaningful issue was a convergency of the research method and tools such as BSC, CRM, AHP, DEA, Information System, Systgem Dynamics and 6 Sigma. Conclusion: The review paper is expected to provide future direction to improve service quality theories and applications. There are three future research topics: Application area, measurement model and research purpose.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2003년도 추계학술대회 논문집
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• pp.12-17
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• 2003

The basic concept of an improved business and productivity for Small and Medium Sized Enterprizes, which makes use of an information portal, is to assure competitive power, increase the production quantity through the interchange of a company and the outside environment, and to build cooperation. To reduce the charge of the equipment, as well as to introduce and information program, it should build an information environment from inside the company by suing the information portal ASP(Application Service Provider). This portal is already built by the basic information infrastructure through the Internet.

• 전자공학회논문지A
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• 제32A권5호
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• pp.42-53
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• 1995

Token bus protocols have been sidely accepted for Medium Access Control (MAC) in real-time networks such as those used in factory automation, distributed process control, nuclear power plant, aircraft and spacecraft. Token bus protocols provide timer-controlled priority mechanism, which offers multiple level of privilege of medium access to different type of traffic. This paper presents and approximate analytical model for the evaluation of variance of waiting time in the time-controlled proiority scheme of token bus protocols. Token bus system is assumed to be operated with singe-service discipline which is the practical case of real-time networks such as those used in distributed process control and factory automations. The approximate analytical model is validated by comparison with the simulation resuls.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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• pp.463-464
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• 2014

농사를 지을 수 있는 토지의 부족 및 농촌인구의 감소, 노령화 등으로 인하여 팜 팩토리(Farm Factory)의 개념을 도입하여 소규모 기술 집약적 미래형 농업인 하이포니카를 이용한 각종 채소를 재배하는 기술이 보급되고 있다. 그러나 이와 관련된 각종 모니터링 및 제어 소프트웨어가 외산일색으로 정작 실사용자가 사용하기에는 많은 난점들이 있다. 이에 본 논문에서는 에어하우스나 소규모 실내에서 하이포니카 생장법을 이용하여 식물을 생육 시 필요한 모니터링 시스템을 제안한다.

• 대한임베디드공학회논문지
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• 제16권3호
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• pp.89-97
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• 2021

Voice interface can not only make daily life more convenient through artificial intelligence speakers but also improve the working environment of the factory. This paper presents a voice-assisted work management system that supports both speech and speaker recognition. This system is able to provide machine control and authorized worker authentication by voice at the same time. We applied two speech recognition methods, Google's Speech application programming interface (API) service, and DeepSpeech speech-to-text engine. For worker identification, the SincNet architecture for speaker recognition was adopted. We implemented a prototype of the work management system that provides voice control with 26 commands and identifies 100 workers by voice. Worker identification using our model was almost perfect, and the command recognition accuracy was 97.0% in Google API after post- processing and 92.0% in our DeepSpeech model.

• 디지털융복합연구
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• 제16권11호
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• pp.313-327
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• 2018

인간의 노동을 기술이 대체하는 시대가 도래하고 있다. 제조영역에서 기업의 생산성을 증대시키기 위해 공장자동화(Factory Automation, FA) 및 스마트 팩토리(Smart Factory, SF)를 도입하는 것처럼, 서비스 영역 및 사무업무 영역에서도 RPA(Robotic Process Automation) 도입을 통해 기업의 경쟁력을 강화시키고 있다. 하지만, RPA 자체는 어디까지나 개념일 뿐 특정한 기술과 솔루션을 의미하지는 않으며, 소프트웨어 로봇이나 인공지능 개념을 기반으로 비즈니스 프로세스를 자동화하는 기술들의 새로운 개념이라고 할 수 있다. RPA도입 전후의 가장 큰 차이점은, 인간노동(Human Labor) 중심의 업무수행에서 디지털노동(Digital Labor)으로 사람의 노동력 자체를 대체한다는 것에 있다. 이렇듯 노동에 대한 시대적 개념이 변함에 따라, 미래 변화에 대한 정책적 논의가 필요한 시점이라 사료된다. 본 논문에서는 RPA에 대해 개괄적으로 살펴본 후, 산업동향 및 기술동향, 그리고 RPA 미래방향에 대한 이해를 통해 우리가 준비해야 할 고민에 대해 살펴보고자 한다.

• 한국의류산업학회지
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• 제23권6호
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.