• Title/Summary/Keyword: Smart manufacture

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Smart body armor inspired by flow in bone

  • Tate, Melissa Louise Knothe
    • Smart Structures and Systems
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    • v.7 no.3
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    • pp.223-228
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    • 2011
  • An understanding of biomaterials' smart properties and how biocomposite materials are manufactured by cells provides not only bio-inspiration for new classes of smart actuators and sensors but also foundational technology for smart materials and their manufacture. In this case study, I examine the unique smart properties of bone, which are evident at multiple length scales and how they provide inspiration for novel classes of mechanoactive materials. I then review potential approaches to engineer and manufacture bioinspired smart materials that can be applied to solve currently intractable problems such as the need for "smart" body armor or decor cum personal safety devices.

A Study on the Manufacturing and Properties of Hightech Easycare Wool (고감성 Easycare Wool의 제조 및 특성 연구)

  • Han Tae Sung;Park Jun Ho;Park Sang Woon;Jeon Byong Dae
    • Textile Coloration and Finishing
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    • v.17 no.6 s.85
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    • pp.51-59
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    • 2005
  • To manufacture hightech easycare wool, there are several methods which use strong oxidising agent or the resin treatment, however, neither are environmentally friendly methods. Moreover it may deteriorate the handle. The aim of this study is to manufacture the hightech easycare wool using the modified Fenton method which can be formed by hydrogen peroxide and ferric sulfate and enzyme treatment. The method was pretreated by ferric sulfate on the wool surface and then the surface of wool scale was selectively removed by ferric ion catalyst. Subsequently the Enchiron which is one of the proteolytic enzymes was treated on the wool surface. The treated wool had the result of having optimum weight loss and excellent whiteness and good handle. Therefore implications of these results suggest that this method using the modified Fenton method and enzyme treatment may be one way of manufacturing the hightech easycare wool.

Study on Minimum Security Requirement Using Risk Priority Number(SFRPN) for Secure Smart Factory (안전한 스마트공장 구축을 위한 위험우선순위(SFRPN) 기반 최소보안요구사항에 관한 연구)

  • Yi, Byung-gueon;Kim, Dong-won;Noh, Bong-nam
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.5
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    • pp.1323-1333
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    • 2016
  • According to spreading of smart devices and development of communication technology, the security issues come to the fore in the modern factory. Especially, the smart facpry should be considered the risk management plan how to identify and evaluate, control the risks. In this paper, we suggest the minimum security requirements applying SFRPN(Smart Factory Risk Priority Number) model to domestic smart factory on the basis of the results inspecting factories.

Analysis and Design of Ku-Band Airborne Video Transceiver System for Smart-UAV (Smart-UAV를 위한 Ku-대역 탑재영상 송수신시스템의 설계 및 해석)

  • 김봉경;김종만;이동국;김태식;김인규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.7A
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    • pp.807-813
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    • 2004
  • This paper corresponded to Smart-UAV(Smart Unmanned Aerial Vehicle) technology development, a part of “The 21th Century New-Frontier Development Project” being propelled in accordance with enlarging the necessity of concentration development by selecting our strong technique being able to compete in the international society of knowledge based economy in the 21th century. Also, we designed Ku-band airborne video transceiver system performing to receive the TC(Tele-Command) signal needed to be applicable of Smart-UAV, and send the video and TM(Tele-Metry) signal at the same time. Moreover, we analyzed it in order to satisfy the system request of designed whole communication system, and established the validity on this paper going through by module simulation and manufacture of the whole system.

A Study on Building a Test Bed for Smart Manufacturing Technology (스마트 제조기술을 위한 테스트베드 구축에 관한 연구)

  • Cho, Choon-Nam
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.34 no.6
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    • pp.475-479
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    • 2021
  • There are many difficulties in the applications of smart manufacturing technology in the era of the 4th industrial revolution. In this paper, a test bed was built to aim for acquiring smart manufacturing technology, and the test bed was designed to acquire basic technologies necessary for PLC (Programmable Logic Controller), HMI, Internet of Things (IoT), artificial intelligence (AI) and big data. By building a vehicle maintenance lift that can be easily accessed by the general public, PLC control technology and HMI drawing technology can be acquired, and by using cloud services, workers can respond to emergencies and alarms regardless of time and space. In addition, by managing and monitoring data for smart manufacturing, it is possible to acquire basic technologies necessary for embedded systems, the Internet of Things, artificial intelligence, and big data. It is expected that the improvement of smart manufacturing technology capability according to the results of this study will contribute to the effect of creating added value according to the applications of smart manufacturing technology in the future.

A Study on CPS-based Mold Life-cycle Management System for Smart Factory (스마트 공장을 위한 CPS 기반 금형 수명 관리 시스템에 관한 연구)

  • Shin, Hyun-Jun;Kim, Sung-Jin;Oh, Chang-Heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.816-818
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    • 2016
  • The Industry 4.0 should decide work operation of manufacture facilities by itself. But small and medium sized enterprises(SMEs) still not prepared these work operations. In this paper, we had research that work operation manufacture facilities of a management system of mold life-cycle based on CPS. The management system of mold manages life-cycle using by shot, this information offers users by cloud system. This system will help SMEs products quality improve and business operation more efficiency.

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An Analysis on the Change of Convergence in Smart City from Industrial Perspectives (스마트시티 산업의 융합변화 분석)

  • Jo, Sung Su;Lee, Sang Ho
    • Journal of the Korean Regional Science Association
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    • v.34 no.4
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    • pp.61-74
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    • 2018
  • This study aims to analyze the convergence change of smart city industries in Korea. Industries of Smart city can be defined ICTs and Knowledge embedded construction industry. The input output model and structural path analysis have been done using the input output tables published by Bank of Korea in 1980 and 2014. GDP deflator was applied to the input output tables. 403 industries were reclassified into 27 industries and 8 industries categories: Agriculture and Mining(AM), Non-IT Manufacture(NITM), IT Manufacture(ITM), Energy Supply(EnS), Construction as smart city(C), IT Service(ITS), Knowledge Service(KS), Etc. Service(EtS). The results are as follows; First, the input output coefficient analysis showed that The information and communication service industry(ITS) and the energy supply industry(EnS) have increased input to the construction industry(C). On the other hands, knowledge service industry(KS) and etc. service industries(EtS) decreased. Second, the multiplier analysis revealed that construction industry(C) led by smart city had a great influence on ITS, EnS, ITM and NITM directly and indirectly. Furthermore, The IT industry had the biggest change from 1980 to 2014. Third, the smart city industry has created a new convergence of 117, and it has been leading to segmentation of the structure. Change of convergence has been proceeding mainly in the ITS and EnS, NITM, ITM industries.

Innovation and craft in a climate of technological change and diffusion

  • Hann, Michael A.
    • The Research Journal of the Costume Culture
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    • v.25 no.5
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    • pp.708-717
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    • 2017
  • Industrial innovation in Britain, during the eighteenth and nineteenth centuries, stimulated the introduction of the factory system and the migration of people from rural agricultural communities to urban industrial societies. The factory system brought elevated levels of economic growth to the purveyors of capitalism, but forced people to migrate into cities where working conditions in factories were, in general, harsh and brutal, and living conditions were cramped, overcrowded and unsanitary. Industrial developments, known collectively as the 'Industrial Revolution', were driven initially by the harnessing of water and steam power, and the widespread construction of rail, shipping and road networks. Parallel with these changes, came the development of purchasing 'middle class', consumers. Various technological ripples (or waves of innovative activity) continued (worldwide) up to the early-twenty-first century. Of recent note are innovations in digital technology, with associated developments, for example, in artificial intelligence, robotics, 3-D printing, materials technology, computing, energy storage, nano-technology, data storage, biotechnology, 'smart textiles' and the introduction of what has become known as 'e-commerce'. This paper identifies the more important early technological innovations, their influence on textile manufacture, distribution and consumption, and the changed role of the designer and craftsperson over the course of these technological ripples. The implications of non-ethical production, globalisation and so-called 'fast fashion' and non-sustainability of manufacture are examined, and the potential benefits and opportunities offered by new and developing forms of social media are considered. The message is that hand-crafted products are ethical, sustainable and durable.

Development of Embedded System Based Cortex-M for Smart Manufacturing (스마트 제조를 위한 Cortex-M 기반 임베디드 시스템 개발)

  • Cho, Choon-Nam
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.33 no.4
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    • pp.326-330
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    • 2020
  • Small-scale production control systems for smart manufacturing are becoming increasingly necessary as the manufacturing industry seeks to maximize manufacturing efficiency as the demand for customized product production increases. Correspondingly, the development of an embedded system to realize this capability is becoming important. In this study, we developed an embedded system based on an open source system that is cheaper than a widely applied programmable logic controller (PLC)-based production control system that is easier to install, configure, and process than a conventional relay control panel. This embedded system is system is based on a low-power, high-performance Cortex M4 processor and can be applied to smart manufacturing. It is designed to improve the development environment and compatibility of existing PLCs, control small-scale production systems, and enable data collection through heterogeneous communication. The real-time response characteristics were confirmed through an operation test for input/output control and data collection, and it was confirmed that they can be used in industrial sites.

Data Collection Management Program for Smart Factory (스마트팩토리를 위한 데이터 수집 관리 프로그램 개발)

  • Kim, Hyeon-Jin;Kim, Jin-Sa
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.35 no.5
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    • pp.509-515
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    • 2022
  • As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.