• Title/Summary/Keyword: Smart manufacture

Search Result 62, Processing Time 0.029 seconds

Research about the IoT based on Korean style Smart Factory Decision Support System Platform - based on Daegu/Kyeongsangbuk-do region component manufacture companies (IoT 기반의 한국형 Smart Factory 의사결정시스템 플랫폼에 대한 연구 - 대구/경북 부품소재 기업을 중심으로)

  • Sagong, Woon
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.12 no.1
    • /
    • pp.1-12
    • /
    • 2016
  • The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.

Development of Smart Soccer Socks Using a Textile Stretch Sensor -Focused on Middle School Girls between the Ages of 14 and 15- (텍스타일형 스트레치 센서를 이용한 스마트 축구 양말 개발 -14~15세 여중생을 중심으로-)

  • Kim, Ji-seon;Park, Jinhee;Kim, Jooyong
    • Journal of Fashion Business
    • /
    • v.24 no.3
    • /
    • pp.17-29
    • /
    • 2020
  • This study aimed to produce fiber stretch sensors for smart soccer socks to prevent injuries during training. A sensor was manufactured with stretchable fabric and tested to ensure convenience during training. In order to manufacture the fiber stretch sensor, a CNT dispersion solution was applied to an e-band and elastic polyester fabric, and the performance of the sensors was evaluated by a tensile test. Performance evaluation showed that both of the tested fabrics are excellent for this purpose. Both sensors were attached to socks to create prototype wearable devices, and an experiment was conducted to determine whether a resistance change accompanying relaxation and contraction of the gastrocnemius muscle could be detected. In order to accurately evaluate performance as a sensor, the fabric was stretched 20 times at low speeds of 1 Hz and 0.5 Hz. A change in resistance due to tension was observed, with both the E-band and the stretchable poly fabric showing high sensitivity and high reproducibility. Both can be used as relaxation/contraction sensors. Smart soccer socks were made using the two materials, and an evaluation was conducted. Tensile tests were done on the smart soccer socks; the tests were done 20 times per sock, and the sensor showed a stable resistance change between 30 and 40 ohms depending on the tension of the sensor. As a result, we confirmed that smart soccer socks with stretch sensors made of E-bands can measure changes in the gastrocnemius muscle.

Curriculum Development for Smart Factory Information Security Awareness Training (스마트공장 정보보호 인식교육을 위한 커리큘럼 개발)

  • Jeon, In-seok;Yi, Byung-gueon;Kim, Dong-won;Choi, Jin-yung
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.26 no.5
    • /
    • pp.1335-1348
    • /
    • 2016
  • Smart factory of Manufacturing sector is rapidly spreading, globally. In case of domestic, it is on going based on KOSF. It is neither lack of invest nor security of information due to it has been spread from manufacturing sector. Hence, that's very difficult to efficiency prevent from new type of intimidation and security accident happened sometimes from this situation. According to research information security condition with recognized new menace, there is a most efficient way is provide education of information security without any extra budget to safely spread smart factory. Thus, this study of research has developed security awareness training curriculum from international standard, requirement of the industry, and curriculum of educational institution based on NCS (National Competency Standard). It is be very helpful to spread smart factory safely due to expert group has been test of validity.

Design of GlusterFS Based Big Data Distributed Processing System in Smart Factory (스마트 팩토리 환경에서의 GlusterFS 기반 빅데이터 분산 처리 시스템 설계)

  • Lee, Hyeop-Geon;Kim, Young-Woon;Kim, Ki-Young;Choi, Jong-Seok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.11 no.1
    • /
    • pp.70-75
    • /
    • 2018
  • Smart Factory is an intelligent factory that can enhance productivity, quality, customer satisfaction, etc. by applying information and communications technology to the entire production process including design & development, manufacture, and distribution & logistics. The precise amount of data generated in a smart factory varies depending on the factory's size and state of facilities. Regardless, it would be difficult to apply traditional production management systems to a smart factory environment, as it generates vast amounts of data. For this reason, the need for a distributed big-data processing system has risen, which can process a large amount of data. Therefore, this article has designed a Gluster File System (GlusterFS)-based distributed big-data processing system that can be used in a smart factory environment. Compared to existing distributed processing systems, the proposed distributed big-data processing system reduces the system load and the risk of data loss through the distribution and management of network traffic.

Derivation of Security Requirements of Smart TV Based on STRIDE Threat Modeling (STRIDE 위협 모델링에 기반한 스마트 TV 보안 요구사항 도출)

  • Oh, In-Kyung;Seo, Jae-Wan;Lee, Min-Kyu;Lee, Tae-Hoon;Han, Yu-Na;Park, Ui-Seong;Ji, Han-Byeol;Lee, Jong-Ho;Cho, Kyu-Hyung;Kim, Kyounggon
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.30 no.2
    • /
    • pp.213-230
    • /
    • 2020
  • As smart TVs have recently emerged as the center of the IoT ecosystem, their importance is increasing. If a vulnerability occurs within a smart TV, there is a possibility that it will cause financial damage, not just in terms of privacy invasion and personal information leakage due to sniffing and theft. Therefore, in this paper, to enhance the completeness of smart TV vulnerability analysis, STRIDE threat classification are used to systematically identify threats. In addition, through the manufacture of the Attack Tree and the actual vulnerability analysis, the effectiveness of the checklist was verified and security requirements were derived for the safe smart TV use environment.

An Improved Two-Factor Mutual Authentication Scheme with Key Agreement in Wireless Sensor Networks

  • Li, Jiping;Ding, Yaoming;Xiong, Zenggang;Liu, Shouyin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.11 no.11
    • /
    • pp.5556-5573
    • /
    • 2017
  • As a main component of Internet of Things (IoTs), the wireless sensor networks (WSNs) have been widely applied to various areas, including environment monitoring, health monitoring of human body, farming, commercial manufacture, reconnaissance mission in military, and calamity alert etc. Meanwhile, the privacy concerns also arise when the users are required to get the real-time data from the sensor nodes directly. To solve this problem, several user authentication and key agreement schemes with a smart card and a password have been proposed in the past years. However, these schemes are vulnerable to some attacks such as offline password guessing attack, user impersonation attack by using attacker's own smart card, sensor node impersonation attack and gateway node bypassing attack. In this paper, we propose an improved scheme which can resist a wide variety of attacks in WSNs. Cryptanalysis and performance analysis show that our scheme can solve the weaknesses of previously proposed schemes and enhance security requirements while maintaining low computational cost.

Optimization of VIGA Process Parameters for Power Characteristics of Fe-Si-Al-P Soft Magnetic Alloy using Machine Learning

  • Sung-Min, Kim;Eun-Ji, Cha;Do-Hun, Kwon;Sung-Uk, Hong;Yeon-Joo, Lee;Seok-Jae, Lee;Kee-Ahn, Lee;Hwi-Jun, Kim
    • Journal of Powder Materials
    • /
    • v.29 no.6
    • /
    • pp.459-467
    • /
    • 2022
  • Soft magnetic powder materials are used throughout industries such as motors and power converters. When manufacturing Fe-based soft magnetic composites, the size and shape of the soft magnetic powder and the microstructure in the powder are closely related to the magnetic properties. In this study, Fe-Si-Al-P alloy powders were manufactured using various manufacturing process parameter sets, and the process parameters of the vacuum induction melt gas atomization process were set as melt temperature, atomization gas pressure, and gas flow rate. Process variable data that records are converted into 6 types of data for each powder recovery section. Process variable data that recorded minute changes were converted into 6 types of data and used as input variables. As output variables, a total of 6 types were designated by measuring the particle size, flowability, apparent density, and sphericity of the manufactured powders according to the process variable conditions. The sensitivity of the input and output variables was analyzed through the Pearson correlation coefficient, and a total of 6 powder characteristics were analyzed by artificial neural network model. The prediction results were compared with the results through linear regression analysis and response surface methodology, respectively.

Study on the Cold Forging Process of Aluminum Pipe Yoke using Sliding Die for Reducing Friction (마찰저감을 위한 슬라이딩 금형을 적용한 알루미늄 파이프 요크 냉간 단조공정에 관한 연구)

  • S. M. Lee;I. K. Lee;S. Y. Lee;;J. W. Park;W. S. Hwang;Y. H. Moon;S. K. Lee
    • Transactions of Materials Processing
    • /
    • v.32 no.1
    • /
    • pp.5-11
    • /
    • 2023
  • The aim of this study is to manufacture an aluminum pipe yoke of automotive steering system for lightweight. In a multistage cold forging process for aluminum pipe yoke, the surface defects frequently occur due to excessive deformation or friction during extrusion process for forming hollow pipe part. It is import to reduce the friction between the material and the forging die. This study investigated a multistage forging process with sliding die to reduce friction for aluminum pipe yoke. After evaluating by FE analysis, the forging experiment with the sliding die was carried out. As a result, it was possible to manufacture a sound aluminum pipe yoke.

Preparation of Conductive Leather Gloves for Operating Capacitive Touch Screen Displays (정전용량방식 터치스크린에 작동하는 전도성 가죽장갑 소재의 제조)

  • Hong, Kyung Hwa
    • Fashion & Textile Research Journal
    • /
    • v.14 no.6
    • /
    • pp.1018-1023
    • /
    • 2012
  • Smartphone is integrated into the daily lives of all types of people not even young generation. A touch screen display is a primary input device of a smart phone, a tablet computer, etc. While there are many tough technologies in existence, resistive and capacitive are dominant and currently lead the touch screen panel industry. And a capacitive touch screen panel widely used in smart phones is coated with a material that stores electrical charges. In this study, we tried to manufacture gloves produced with electro-conducting leather as a tool to operate a touch panel screen. Therefore, electrically conductive materials, Polyaniline(PANI), Poly(3,4-ethylenedioxythiophene) (PEDOT), and Carbon nanotubes (CNT) were applied to the surface of leather to be used as a touching operator for capacitive touch screen panel. The leather samples were treated by simple painting method; firstly, they were painted with aqueous solution containing each of the electrically conductive materials and then dried. This cycle was repeated three times. Consequently, the treated leather samples showed electrical conductivity and reasonable working performance to the capacitive touch screen. And, PANI showed the best performance and highest electrical conductivity, and then PEDOT and, CNT in decreasing order. This is because the solubilities of PANI and PEDOT show higher than dispersibility of CNT. Thus, the concentration of conducting polymers was greater than that of CNT in the treating solutions.

Review of Active Rotor Control Research in Canada

  • Feszty, Daniel;Nitzsche, Fred
    • International Journal of Aeronautical and Space Sciences
    • /
    • v.12 no.2
    • /
    • pp.93-114
    • /
    • 2011
  • The current status of Canadian research on rotor-based actively controlled technologies for helicopters is reviewed in this paper. First, worldwide research in this field is overviewed to put Canadian research into context. Then, the unique hybrid control concept of Carleton University is described, along with its key element, the "stiffness control" concept. Next, the smart hybrid active rotor control system (SHARCS) projected's history and organization is presented, which aims to demonstrate the hybrid control concept in a wind tunnel test campaign. To support the activities of SHARCS, unique computational tools, novel experimental facilities and new know-how had to be developed in Canada, among them the state-of-the-art Carleton Whirl Tower facility or the ability to design and manufacture aeroelastically scaled helicopter rotors for wind tunnel testing. In the second half of the paper, details are provided on the current status of development on the three subsystems of SHARCS, i.e. that of the actively controlled tip, the actively controlled flap and the unique stiffness-control device, the active pitch link.