• Title/Summary/Keyword: Smart Equipment

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A Measurement of Passengers' Walking Speed on Passenger Ship(II) (연안여객선 일반 승선자의 보행속도 실측(II) -비숙련 일반인을 대상으로 한 실험-)

  • Hwang, Kwang-Il;Son, Byeung-Hun;Na, Wook-Jung;Ahn, Chang-Hwan;Hong, Won-Hwa;Lee, Soo-Ho;Koo, Jae-Hyeok;Jeon, Byeong-Cheong
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2012.06a
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    • pp.206-207
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    • 2012
  • We need to develop intelligent smart card made unskilled general public's to the shelter on Passenger Ship. prior to development, we have to study passenger of characteristic. so we researched about domestic unskilled general public's of walking speed in refuge situation.

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A Study on Communication Controller of Electric Vehicle Supply Equipment for Information Exchange between Electric Vehicle and Power Grid (전기차와 전력계통의 정보교환을 위한 전기차 충전장치의 통신 제어기에 대한 연구)

  • Han, Ah;Shin, Minho;Kim, Intaek;Jang, Hyuk-Soo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.11
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    • pp.1564-1570
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    • 2014
  • An electric vehicle (EV) not only receives electric power from the electric vehicle supply equipment (EVSE), but it also exchanges the information regarding charging process with the power gird through the EVSE. However, the EV and EVSE communicate using the ISO/IEC 15118 standard while the EVSE and power grid communicate using the IEC 61850 standard. Therefore, the EVSE should support both the ISO/IEC 15118 and IEC 61850 standards, and provide a data mapping function between the two communication protocols so that the EV and power grid, which support different protocols, can communicate with each other throughout the charging process. In this paper, we propose a mapping method of the EVSE, which converts the ISO/IEC 15118 data to IEC 61850 and vice versa, based on the XML schema of each protocol. The proposed method converts the data using the XSL (eXtensible Stylesheet Language) method, which defines the data mapping between two XML schemas. Our approach is more flexible and easier to maintain against changes in charging scenarios and the standards than other existing approaches such as one-to-one data mapping methods.

Optimal placement of piezoelectric curve beams in structural shape control

  • Wang, Jian;Zhao, Guozhong;Zhang, Hongwu
    • Smart Structures and Systems
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    • v.5 no.3
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    • pp.241-260
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    • 2009
  • Shape control of flexible structures using piezoelectric materials has attracted much attention due to its wide applications in controllable systems such as space and aeronautical engineering. The major work in the field is to find a best control voltage or an optimal placement of the piezoelectric actuators in order to actuate the structure shape as close as possible to the desired one. The current research focus on the investigation of static shape control of intelligent shells using spatially distributed piezoelectric curve beam actuators. The finite element formulation of the piezoelectric model is briefly described. The piezoelectric curve beam element is then integrated into a collocated host shell element by using nodal displacement constraint equations. The linear least square method (LLSM) is employed to get the optimum voltage distributions in the control system so that the desired structure shape can be well matched. Furthermore, to find the optimal placement of the piezoelectric curve beam actuators, a genetic algorithm (GA) is introduced in the computation model as well as the consideration of the different objective functions. Numerical results are given to demonstrate the validity of the theoretical model and numerical algorithm developed.

A Study on IoT Outdoor Exercise Equipment using ARTIK Platform (ARTIK 플랫폼을 활용한 IoT 야외운동기구 연구)

  • Seo, Jeonghyeon;Shin, Hun;Lee, Minwoo;Cho, Yonghoon;Kim, Dongsik;Ro, Kwanghyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.513-514
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    • 2018
  • Recently, IoT(Internet of Things) technology is being actively used to develop smart products and services. This paper proposes the architecture and major functionalities of IoT outdoor exercise equipment using ARTIK IoT Platform. It provides an exerciser with date&time, weather information, the amount of exercise. The amount of exercise and a user's ID are sent to a service server by LTE-M modem and the server provides the exercise history by web or smartphone app. As additional functionalities, a fine dust alarm light and an emergency alarm button are embedded. The proposed system has been exhibited on CHINA SPORT SHOW 2018 held on Shanghai, China.

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An Empirical Study on Manufacturing Process Mining of Smart Factory (스마트 팩토리의 제조 프로세스 마이닝에 관한 실증 연구)

  • Taesung, Kim
    • Journal of the Korea Safety Management & Science
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    • v.24 no.4
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    • pp.149-156
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    • 2022
  • Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

From Technology to Content: Research on the Development of VR Flow Experience

  • Sang, YuanZi;Kim, KiHong;Pan, Yang
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.93-101
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    • 2022
  • Immersion is a features of VR technology, and the most important condition for evaluating VR experience. With the improvement of VR technology, including the presentation accuracy of VR content, the degree of interaction is diversified, the user's immersion in VR equipment should not only be improved technically, but researched from the user's perception level. The paper defines two important factors, immersion and presence, in a participant's experience with a VR device. Although the current technology can already simulate the real environment information visually and audibly, the content of the VR environment is not enough for us to achieve a completely real experience. Based on the Flow theory of Csikszentmihalyi and the sensory immersion achieved by current technology, this paper proposes the key factors of how to achieve conscious immersion for users in VR media. We prove that immersion is an indicator of the true degree of sensory simulation of VR equipment and is the basis for the realization of flow experience. What really makes the participant feel a perfect experience is the content provided by the VR environment and gave participants a sense of presence, it is not limited to video or games. On the premise of the Multi-Sensory, Immersion, Interactivity and Imagination experience achieved by using virtual reality technology, combined with the content creation of flow theory, the interactive immersion achieved by users is an important method to realize the awareness immersion of VR equipment.

Development of tool-life prediction program to determine the optimal machining conditions in mold machining (금형 가공 시 최적 가공조건을 결정하기 위한 공구수명 예측 프로그램 개발)

  • Soon-Ok Park;Min-Hak Kim;Sun-Kyung Lee;Sung-Taek Jung
    • Design & Manufacturing
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    • v.17 no.1
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    • pp.7-12
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    • 2023
  • Recently, with the emergence of the 4th industrial revolution, the demand for smart factories and factory automation is increasing. In this study, a tool life prediction program was developed to select optimal machining conditions using CNC milling equipment, which is widely used in flexible production and automation. The equipment used in the experiment was Hwacheon Machine Tool's 5-axis machining equipment, and the tool used was a 17F2R tool. For the machining path, the down-milling cutting method was selected and long-term machining was performed. The analysis standard for side wear on the tool was set at 0.1 to 0.2 mm, and tool life data and wear data were obtained in the cutting experiment. The program was created through the data obtained from the experiment, and a prediction rate of over 90% was secured when comparing the experimental data and the predicted data.

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A Study on a Method for Detecting Leak Holes in Respirators Using IoT Sensors

  • Woochang Shin
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.378-385
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    • 2023
  • The importance of wearing respiratory protective equipment has been highlighted even more during the COVID-19 pandemic. Even if the suitability of respiratory protection has been confirmed through testing in a laboratory environment, there remains the potential for leakage points in the respirators due to improper application by the wearer, damage to the equipment, or sudden movements in real working conditions. In this paper, we propose a method to detect the occurrence of leak holes by measuring the pressure changes inside the mask according to the wearer's breathing activity by attaching an IoT sensor to a full-face respirator. We designed 9 experimental scenarios by adjusting the degree of leak holes of the respirator and the breathing cycle time, and acquired respiratory data for the wearer of the respirator accordingly. Additionally, we analyzed the respiratory data to identify the duration and pressure change range for each breath, utilizing this data to train a neural network model for detecting leak holes in the respirator. The experimental results applying the developed neural network model showed a sensitivity of 100%, specificity of 94.29%, and accuracy of 97.53%. We conclude that the effective detection of leak holes can be achieved by incorporating affordable, small-sized IoT sensors into respiratory protective equipment.

Design of Network Controller for Proportional Flow Control Solenoid Valve (비례유량제어밸브 네트워크 제어기 설계)

  • Jung, G.H.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.8 no.4
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    • pp.17-23
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    • 2011
  • Proportional control solenoid is a type of modulating valve that can continuously control the valve position with magnetic force of solenoid. Recent microcontroller based digital servocontroller for proportional valve is being developed toward the smart valve with additional features such as enhanced control algorithm for finer process and intelligent on-board diagnosis for maintenance. In this paper, development of servocontroller network control with CAN bus which is free from problems of security and network traffic jam is presented. Design of network control system includes modes of communication between master and slave, assignment of 29bit message identifier and message objects, transaction of communication sequence, etc. Monitoring function and control experiments for remote valve through CAN network prove the extended function of smart valve control system.

3D Indoor Positioning System Based on Smartphone (스마트폰 기반의 3차원 실내위치 인식)

  • Oh, Jong-Taek
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.12
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    • pp.1126-1133
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    • 2013
  • For providing personalized intelligent services to users, 3 dimensional indoor positioning technology to recognize the position of person and equipment becomes important. In this paper, the acoustic signal generated from the proliferated smart phone is received from the 5 microphones equipped in the front panel of 3D positioning system, and the two proposed methods estimate the 3D coordinate of the smart phone, and finally it is verified using the implemented experimental system.