• Title/Summary/Keyword: IoT (internet of things)

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Basic Study on the IoT Micro Boiler (IoT 마이크로 보일러에 대한 기초 연구)

  • Jang, Sung-Cheol
    • Journal of Internet of Things and Convergence
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    • v.8 no.1
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    • pp.23-29
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    • 2022
  • The product to be developed in this study is a heat recovery device which generates steam or hot water at high temperature and high pressure by heating water using exhaust gas from diesel engine, gas engine, gas turbine, etc. as an exhaust gas boiler off heat boiler(EGB) type for ship and power generation. The steam vapor or the created warm water is used as the power source required for the steerage heating and hot water facility or the HFO heating of the ship, and the turbine drive. The principle of waste heat boilers serves to heat water as high temperature exhaust gas with heat pass through the tube of the boiler. The heated water is a structure that is sent to a cabin or turbine device in the form of steam. In this study, the objective of this study is to maximize the efficiency by increasing the heat transfer surface by replacing the tube which is the heat transfer part of EGB with the plate tube.

Development of Crop Management Technology through Implementation of Heterogeneous Integrated Sensor-type Smart Tag Function (이기종 통합 센서형 스마트 태그 기능 구현을 통한 농작물 관리 기술 개발)

  • Bong-Hyun Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.61-67
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    • 2024
  • In order to monitor the growth environment of new varieties of crops, it is necessary to build the agricultural production infrastructure and strengthen the agricultural resource management system using popular smart sensor tag technology. In addition, the infrastructure for improving high-quality new varieties of crops using IoT technology and the monitoring system must be strengthened. In other words, widespread smart sensor (RFID UHF Sensor Tag) technology for environmental monitoring required for improving new crop varieties is desperately needed in the smart farm environment. Therefore, in this paper, we implemented an integrated sensor that can implement smart tag functions based on heterogeneous integrated sensors. In addition, we developed a technology that can manage crops in real time through the implemented smart integrated tag and smartphone linkage. For this purpose, an integrated antenna capable of RFID and Bluetooth communication was constructed. In addition, a communication method that allows information to be collected directly from the smartphone through the Bluetooth function was used.

The Design and Implementation of Smart Clinic Reservation System Using AIoT (AIoT를 이용한 스마트 진료실 예약 시스템의 설계 및 구현)

  • Jun-Hyeog Choi;Key-Won Kim;Myung-Sook Park
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.199-201
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    • 2024
  • 최근 병원에서는 빅데이터, 지능형 사물인터넷(AIoT) 등 인공지능 기반 기술들을 활용하여 환자 진료 및 치료 영역은 물론 의료산업 및 의료 시설 등과 관련된 다양한 영역에서의 활용방안을 모색하고 있다. 지능형 사물인터넷(AIoT, Internet of Things)은 AI와 IoT의 기술적인 결합으로 산업의 혁신을 가져와 국가 전체의 생산성을 높일 수 있을 뿐만 아니라 삶의 질의 변화는 물론 병원의 의료 환경에 있어서도 많은 파급 효과를 가져다 줄 것으로 예상하고 있다. 본 논문에서는 병원의 효율적인 공간관리를 위한 AIoT 기반의 가변 스마트 진료실 예약 시스템에 대한 설계 및 구현을 통하여 병원의 주요 자산인 공간이라는 개념을 효율적으로 이용하고 병원 내 소통과 협업을 위한 유연한 진료 환경을 제공함으로서 병원의 규모와 진료 전문성에 맞추어진 가변적 공간 기능을 통해 병원의 경쟁력을 높이는 것을 그 목적으로 하고 있다.

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A Study on Workers' Risk-Aware Smart Bands System in Explosive Areas (폭발위험지역 근로자 위험 인지형 스마트밴드시스템에 대한 연구)

  • Lee, Byong-Kwon
    • Journal of Internet of Things and Convergence
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    • v.5 no.2
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    • pp.73-79
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    • 2019
  • Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

An ASIC implementation of a Dual Channel Acoustic Beamforming for MEMS microphone in 0.18㎛ CMOS technology (0.18㎛ CMOS 공정을 이용한 MEMS 마이크로폰용 이중 채널 음성 빔포밍 ASIC 설계)

  • Jang, Young-Jong;Lee, Jea-Hack;Kim, Dong-Sun;Hwang, Tae-ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.5
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    • pp.949-958
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    • 2018
  • A voice recognition control system is a system for controlling a peripheral device by recognizing a voice. Recently, a voice recognition control system have been applied not only to smart devices but also to various environments ranging from IoT(: Internet of Things), robots, and vehicles. In such a voice recognition control system, the recognition rate is lowered due to the ambient noise in addition to the voice of the user. In this paper, we propose a dual channel acoustic beamforming hardware architecture for MEMS(: Microelectromechanical Systems) microphones to eliminate ambient noise in addition to user's voice. And the proposed hardware architecture is designed as ASIC(: Application-Specific Integrated Circuit) using TowerJazz $0.18{\mu}m$ CMOS(: Complementary Metal-Oxide Semiconductor) technology. The designed dual channel acoustic beamforming ASIC has a die size of $48mm^2$, and the directivity index of the user's voice were measured to be 4.233㏈.

Design of Elementary, Middle and High School SW·AI-based Learning Platform in IoT Environment (사물인터넷 환경에서의 초·중·고 SW·AI기반 학습 플랫폼 설계)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.117-123
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    • 2023
  • While applying new digital technologies, interest in software and artificial intelligence is quite high. In particular, many changes are being made for the development of software and artificial intelligence in the field of education. From 2025, software and artificial intelligence-related curricula will be applied to public education in elementary, middle and high schools. The Ministry of Education is also conducting various camps to experience software and artificial intelligence in various ways in elementary, middle and high schools before they are applied to public education. Several platforms for experience camps related to software and artificial intelligence are also being used. In this study, we intend to increase the educational efficiency of the learning method for software and artificial intelligence to be developed in the future by designing a model for software and artificial intelligence experiential learning platforms.

Retained Message Delivery Scheme utilizing Reinforcement Learning in MQTT-based IoT Networks (MQTT 기반 IoT 네트워크에서 강화학습을 활용한 Retained 메시지 전송 방법)

  • Yeunwoong Kyung;Tae-Kook Kim;Youngjun Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.131-135
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    • 2024
  • In the MQTT protocol, if the retained flag of a message published by a publisher is set, the message is stored in the broker as a retained message. When a new subscriber performs a subscribe, the broker immediately sends the retained message. This allows the new subscriber to perform updates on the current state via the retained message without waiting for new messages from the publisher. However, sending retained messages can become a traffic overhead if new messages are frequently published by the publisher. This situation could be considered an overhead when new subscribers frequently subscribe. Therefore, in this paper, we propose a retained message delivery scheme by considering the characteristics of the published messages. We model the delivery and waiting actions to new subscribers from the perspective of the broker using reinforcement learning, and determine the optimal policy through Q learning algorithm. Through performance analysis, we confirm that the proposed method shows improved performance compared to existing methods.

Mediating effect of self-Esteem in the Relationship between Dental Hygiene Students' Powerlessness and Career Identity in the IoT (사물인터넷에서 치위생과 학생의 임상실습관련 무력감과 진로정체감과의 관계에서 자아존중감의 매개효과)

  • Hae Sun Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.115-124
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    • 2024
  • This study aimed to examine the mediating effect of self-esteem on the relationship between clinical practice powerlessness and career identity among dental hygiene students with clinical practice experience in the IoT. A questionnaire was conducted on 172 dental hygiene students in a university located in Chungcheong area. For data analysis, Pearson's correlation analysis was conducted to exam the relationships between clinical practice powerlessness, self-esteem, and career identity. Baron & Kenny's three-step mediation analysis was used to investigate the mediating effect of self-esteem in the relationship between clinical practice powerlessness and career identity. The results of this study showed that the clinical practice powerlessness showed significant negative correlations with both self-esteem and career identity, and self-esteem showed a positive correlation with career identity. Partial mediating effects of self-esteem were found between clinical practice powerlessness and career identity. Thus, since self-esteem mediates the relationship between clinical practice powerlessness and career identity, it's essential to implement online-based programs aimed at increasing self-esteem among dental hygiene students before they participate in clinical practice.

Design of Fractional-N Digital PLL for IoT Application (IoT 어플리케이션을 위한 분수분주형 디지털 위상고정루프 설계)

  • Kim, Shinwoong
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.800-804
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    • 2019
  • This paper presents a dual-loop sub-sampling digital PLL for a 2.4 GHz IoT applications. The PLL initially performs a divider-based coarse lock and switches to a divider-less fine sub-sampling lock. It achieves a low in-band phase noise performance by enabling the use of a high resolution time-to-digital converter (TDC) and a digital-to-time converter (DTC) in a selected timing range. To remove the difference between the phase offsets of the coarse and fine loops, a phase offset calibration scheme is proposed. The phase offset of the fine loop is estimated during the coarse lock and reflected in the coarse lock process, resulting in a smooth transition to the fine lock with a stable fast settling. The proposed digital PLL is designed by SystemVerilog modeling and Verilog-HDL and fully verified with simulations.

Design and implementation of agriculture system for Internet Of Things (사물인터넷을 위한 농장 시스템 설계 및 구현)

  • Lim, Soon-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8896-8900
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    • 2015
  • Recently, various career paths draw young workers from twenty to forty to the metro city in Korea. The korea's agriculture sector has decrease in population and productivity which result a threat for it to become an aging society. Also, our country has a difficulty in a tough competition with other countries through agricultural market-opening such as WTO and FTA. In this paper, we introduce a technology using open-source project including Raspberry that easily accessible and applicable to an agricultural industry. In other words, as we build a device monitoring the production environment, everyone can use agricultural sector through an IoT technology, solve the problem with a labor shortage through production process automation, check the condition of the agricultural environment in real time, enhance the quality of the agricultural product by corresponding a certain condition, and improve the competitiveness through a competitive price comparing to the worldwide farm product. Also, we find a way to use data to the other business through data collection and analysis in a process of using the IoT.