• Title/Summary/Keyword: Smart IoT

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A Study on Wellbeing Support System for the Elderly using AI (고령자를 위한 AI 기반의 Wellbeing 지원 시스템의 연구)

  • Cho, Myeon-Gyun
    • Journal of Convergence for Information Technology
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    • v.11 no.2
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    • pp.16-24
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    • 2021
  • This paper introduces a smart aging service that helps the elderly lead a happy old age by actively utilizing IoT and AI technologies for the elderly who are increasing rapidly as they enter the aging society. In particular, we propose a future-oriented, age-friendly well-being support system that breaks away from the existing welfare concept to solve the aging problem but leads to a paradigm shift toward building a vibrant aging society by protecting from emergency and satisfying emotions. By introducing IoT and AI, it judges the life situation and emotional state from the living information of the elderly can respond to emergencies and suggest meetings as a change of mood and give an emotional comfort. Since the proposed system uses artificial intelligence techniques to determine the degree of depression when inputting information such as pulse-rate, dangerous word usage, and external communication, I think it showed the feasibility of the new concept of wellbeing support system that is totally different from conventional wellbeing concept of health-care.

Methodology of Calibration for Falling Objects Accident-Risk-Zone Approach Detection Algorithm at Port Considering GPS Errors (GPS 오차를 고려한 항만 내 낙하물 사고위험 알고리즘 보정 방법론 개발)

  • Son, Seung-Oh;Kim, Hyeonseo;Park, Juneyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.61-73
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    • 2020
  • Real-time location-sensing technology using location information collected from IoT devices is being applied for safety management purposes in many industries, such as ports. On the other hand, positional error is always present owing to the characteristics of GPS. Therefore, accident-risk detection algorithms must consider positional error. This paper proposes an methodology of calibration for falling object accident-risk-zone approach detection algorithm considering GPS errors. A probability density function was estimated, with positional error data collected from IoT devices as a probability variable. As a result of the verification, the algorithm showed a detection accuracy of 93% and 77%. Overall, the analysis results derived according to the GPS error level will be an important criterion for upgrading algorithms and real-time risk managements in the future.

Design and Implementation of Home IoT Cultivation System with iOS Interface (iOS 인터페이스를 지원하는 가정용 IoT 재배 시스템 설계 및 구현)

  • Jeong, Seung Gyun;Kim, Gyu Dong;Kim, Byeong Chang
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.2
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    • pp.61-68
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    • 2023
  • Demand for "pet plants" and "planteriers" is increasing due to the increase in COVID-19 and fine dust. In this paper, Smart pots for planterior should be small in size while providing the functions for cultivation without any problems. They should provide a user interface for long-range control for user's convenience. We implemented smart pots by incorporating IoT into pots. In response to the growing number of iPhone users, we developed an iOS app for user interface and UX/UI design. By communicating with the smartphone app and a home pot server over the Internet, users can check and control the state of the pot anytime, anywhere. The server and the pot module were separated to reduce the size of the pot itself. By locating a water bottle at the bottom of the pot, we expect that it is suitable for a "planterier" because it adopts a circulating structure in which drainage flows down to the water bottle as it is.

Hygiene Monitoring of Food for Children's Foodservice Using the IoT-based Smart Food Safety Management System (iMEAL) (사물인터넷(IoT) 기반 스마트 급식안전관리시스템(iMEAL) 개발 및 이를 적용한 어린이 급식소용 음식의 위생모니터링)

  • Eun-Jin Lee;Sang-Hyeok Seo;Hye-Kyung Moon
    • Journal of the Korean Dietetic Association
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    • v.30 no.1
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    • pp.61-73
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    • 2024
  • This report was prepared to introduce the developed Internet of Things (IoT)-based Smart Food Safety Management System (iMEAL) for children's foodservices registered in the Center for Children's Foodservice Management and report the results of hygiene monitoring through microbial analysis of two foods simulated and distributed based on this system. The program consisted of three menu screens: a foodservice management and meal inspection function, a refrigerator/freezer monitoring function, and a sanitary/safety inspection log function. Data such as cooking temperature, refrigerator and freezer temperature, salinity, and chlorine concentration were collected using IoT sensors or terminals, and hygiene safety inspection diary results (recorded by cooks) were transmitted to the Internet and stored. The APCs (3.78±0.07 log CFU/g) and E. coli (not detected) in stir-fried pork teriyaki sauce and the heating process met cooking standards. Similarly, the APCs (4.05±0.05 log CFU/g) and E. coli (not detected) in cucumber/chomuchim, which was not heated, also met cooking standards. APCs increased over time when cooked food was left for 1 hour, 1.5 hours, or 2 hours but remained acceptedable. Based on hygiene monitoring results of these two foods, using the i-MEAL system resulted in the safe production and distribution of children's food.

A Study on Energy Saving and Safety Improvement through IoT Sensor Monitoring in Smart Factory (스마트공장의 IoT 센서 모니터링을 통한 에너지절감 및 안전성 향상 연구)

  • Woohyoung Choi;Incheol Kang;Changsoo Kim
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.117-127
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    • 2024
  • Purpose: The purpose is to conduct basic research to save energy and improve the safety of manufacturing plant infrastructure by comprehensively monitoring energy management, temperature, humidity, dust and gas, air quality, and machine operation status in small and medium-sized manufacturing plants. Method: To this end, energy-related data and environmental information were collected in real time through digital power meters and IoT sensors, and research was conducted to disseminate and respond to situations for energy saving through monitoring and analysis based on the collected information. Result: We presented an application plan that takes into account energy management, cost reduction, and safety improvement, which are key indicators of ESG management activities. Conclusion: This study utilized various sensor devices and related devices in a smart factory as a practical case study in a company. Based on the information collected through research, a basic system for energy saving and safety improvement was presented.

IoT Open-Source and AI based Automatic Door Lock Access Control Solution

  • Yoon, Sung Hoon;Lee, Kil Soo;Cha, Jae Sang;Mariappan, Vinayagam;Young, Ko Eun;Woo, Deok Gun;Kim, Jeong Uk
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.8-14
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    • 2020
  • Recently, there was an increasing demand for an integrated access control system which is capable of user recognition, door control, and facility operations control for smart buildings automation. The market available door lock access control solutions need to be improved from the current level security of door locks operations where security is compromised when a password or digital keys are exposed to the strangers. At present, the access control system solution providers focusing on developing an automatic access control system using (RF) based technologies like bluetooth, WiFi, etc. All the existing automatic door access control technologies required an additional hardware interface and always vulnerable security threads. This paper proposes the user identification and authentication solution for automatic door lock control operations using camera based visible light communication (VLC) technology. This proposed approach use the cameras installed in building facility, user smart devices and IoT open source controller based LED light sensors installed in buildings infrastructure. The building facility installed IoT LED light sensors transmit the authorized user and facility information color grid code and the smart device camera decode the user informations and verify with stored user information then indicate the authentication status to the user and send authentication acknowledgement to facility door lock integrated camera to control the door lock operations. The camera based VLC receiver uses the artificial intelligence (AI) methods to decode VLC data to improve the VLC performance. This paper implements the testbed model using IoT open-source based LED light sensor with CCTV camera and user smartphone devices. The experiment results are verified with custom made convolutional neural network (CNN) based AI techniques for VLC deciding method on smart devices and PC based CCTV monitoring solutions. The archived experiment results confirm that proposed door access control solution is effective and robust for automatic door access control.

A Meta-Model for Development Process of IoT Application by Using UML

  • Cho, Eun-Sook;Song, Chee-Yang
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.121-128
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    • 2019
  • An Internet of Things(IoT) technology which provides intelligent services by combining context-awareness based intelligences, inter-communication is made of between things and things or between things and person through the network connected with intelligent things is spreading rapidly. Especially as this technology is converged into smart device, mobile, cloud, big data technologies, it is applied into various domains. Therefore, this is different from existing Web or Mobile Application. New types of IoT applications are emerging by adapting IoT into Web or mobile. Because IoT application is not only focused on software but also considering hardware or things aspect, there are limitations existing development process. Existing development processes don't consider analysis and design techniques considering both hardware and things. We propose not only a meta-model for development process which can support IoT application's development but also meta-models for main activities in this paper. Especially we define modeling elements by using UML's extension mechanisms, provide development process, and suggest design techniques how to apply those elements into IoT application's modeling phase. Because there are many types of IoT application's type, we propose an Android and Arduino-based on IoT application as a case study. We expect that proposed technique can be applied into many of various IoT application development and design with a form of flexible and extensible as well as main functionalities or elements are more concretely described. As a result, it brings IoT application's flexibility and the effect of quality improvement.

Design and Development of Big Data Platform based on IoT-based Children's Play Pattern Analysis

  • Jung, Seon-Jin
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.218-225
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    • 2020
  • The purpose of this paper is to establish an IoT-based big data platform that can check the space and form analysis in various play cultures of children. Therefore, to this end, in order to understand the healthy play culture of children, we are going to build a big data platform that allows IoT and smart devices to work together to collect data. Therefore, the goal of this study is to develop a big data platform linked to IoT first in order to collect data related to observation of children's mobile movements. Using the developed big data platform, children's play culture can be checked anywhere through observation and intuitive UI design, quick information can be automatically collected and real-time feedback, data collected through repeaters can be aggregated and analyzed, and systematic database can be utilized in the form of big data.

IoT Based Disaster Mitigation and Safety Monitoring Technologies (IoT 기반 재난예방 및 안전 모니터링 기술)

  • Myeong, S.I.;Lee, H.;Lee, H.J.;Lee, K.B.
    • Electronics and Telecommunications Trends
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    • v.33 no.1
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    • pp.101-110
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    • 2018
  • Based on the main technologies of the 4th Industrial Revolution, industries including the smart home, transportation, agriculture, factory, energy, and medical care industries are rapidly developing. Disaster management technologies and services based on state-of-the-art convergence technologies are being widely applied for the purposes of public safety. State-of-the-art scientific technologies including the Internet of Things (IoT) are expected to offer alternative solutions to pending issues of disaster and safety. Particularly in disaster management, a "prevention activity"to avoid and control disasters in advance is essential, and thus disaster prevention and safety monitoring technologies based on hyper-connected intelligence are fundamental for society during the 4th Industrial Revolution. IoT technologies are being actively applied and utilized in various fields to prevent social and natural disasters. In this article, we introduce the development trends of disaster prevention and safety monitoring technologies based on IoT technologies.

Analyses of Trend of Threat of Security in Internet of Things (사물 인터넷망에서의 보안 위협 기술 동향 분석)

  • Shin, Yoon-gu;Jung, Sungha;Do, Tahoon;Kim, Jung Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.895-896
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    • 2015
  • With the development of sensor, wireless mobile communication, embedded system and cloud computing, the technologies of Internet of Things have been widely used in logistics, Smart devices security, intelligent building and o on. Bridging between wireless sensor networks with traditional communication networks or Internet, IoT gateway plays n important role in IoT applications, which facilitates the integration of wireless sensor networks and mobile communication networks or Internet, and the management and control with wireless sensor networks. The IoT Gateway is a key component in IoT application systems but It has lot of security issues. We analyzed the trends of security and privacy matters.

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