• Title/Summary/Keyword: SmartThings

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Low Rate VLC Receiver Design Using NCP302 Voltage Detector for IoT/IoL Connected Smart Homes

  • Lee, Beomhee;Mariappan, Vinayagam;Khudaybergenov, Timur;Han, Jungdo;Cha, Jaesang
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.50-56
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    • 2018
  • The Internet of Things (IoT) and Visible Light Communication (VLC) is opening up new services in lighting industry by integrating sensory network features in addition to standard illumination functionality. In this progressive developments, the next generation lighting devices for smart homes are capable to sense the environmental conditions and transfer the captured data through lights to gateway controller to access remotely. The smart home environmental sensor information's are few kbps only so VLC systems need to built-in with low rate light connectivity to transfer data to the gateway. To provide error free communication, the quality of a received light signal is important to be considered when designing an VLC receiver. Therefore, this paper proposes the design of robust low rate IoL receiver design using NCP302 voltage detector for micro controller to adapt the IoT/IoL front end module for system integration. To evaluate the proposed system performance, the Arduino UNO based IoT/IoL controller designed with lighting, sensors and lights connectivity interfaces. The experimental result shows that the robust interference rejection is feasible on proposed VOL receiver and possible to have an error-free communication up to 10 kbps at a low SNR using OOK modulation.

Research on Efficient Smart Factory Promotion System in IoT Environment (사물인터넷 환경에서의 효율적인 스마트 공장 추진 체계 연구)

  • Lee, Dong-Woo;Cho, Kwangmoon;Lee, Seong-Hoon
    • Journal of Internet of Things and Convergence
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    • v.6 no.4
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    • pp.59-64
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    • 2020
  • Recently, many difficulties have been faced in all parts of the world due to the impact of COVID-19. Personally, household income is decreasing sharply as many jobs disappear, and economically, many SMEs are increasingly going bankrupt. It is known that this phenomenon is highly likely to continue for the time being. In such a situation, the smart factory support project provides opportunities for difficult SMEs to improve productivity and change the corporate structure. In this study, the current status of smart factory promotion was examined, and problems occurring in the process of promoting smart factory support projects were identified. The improvement plans were derived so that more efficient projects could be promoted in the future.

A Design on The Zone Master Platform based on IIoT communication for Smart Factory Digital Twin (스마트 팩토리 디지털 트윈(Digital Twin)을 위한 IIoT 통신 기반 ZMP(Zone Master Platform) 설계)

  • Park, Seon-Hui;Bae, Jong-Hwan
    • Journal of Internet of Things and Convergence
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    • v.6 no.4
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    • pp.81-87
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    • 2020
  • This paper creates a standard node for acquiring sensor data from various industrial sensors (IoT/non-IoT) for the establishment of Smart Factory Digital Twin, and provides inter-compatible data by linking zones by group/process to secure data stability and to ensure the digital twin (Digital Twin) of Smart Factory. The process of the Zone Master platform contains interface specifications to define sensor objects and how sensor interactions between independent systems are performed and carries out individual policies for unique data exchange rules. The interface for execution control of the Zone Master Platform processor provides system management, declaration management for public-subscribe, object management for registering and communicating status information of sensor objects, ownership management for property ownership sharing, time management for data synchronization, and data distribution management for Route information on data exchange.

Network Forensics and Intrusion Detection in MQTT-Based Smart Homes

  • Lama AlNabulsi;Sireen AlGhamdi;Ghala AlMuhawis;Ghada AlSaif;Fouz AlKhaldi;Maryam AlDossary;Hussian AlAttas;Abdullah AlMuhaideb
    • International Journal of Computer Science & Network Security
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    • v.23 no.4
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    • pp.95-102
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    • 2023
  • The emergence of Internet of Things (IoT) into our daily lives has grown rapidly. It's been integrated to our homes, cars, and cities, increasing the intelligence of devices involved in communications. Enormous amount of data is exchanged over smart devices through the internet, which raises security concerns in regards of privacy evasion. This paper is focused on the forensics and intrusion detection on one of the most common protocols in IoT environments, especially smart home environments, which is the Message Queuing Telemetry Transport (MQTT) protocol. The paper covers general IoT infrastructure, MQTT protocol and attacks conducted on it, and multiple network forensics frameworks in smart homes. Furthermore, a machine learning model is developed and tested to detect several types of attacks in an IoT network. A forensics tool (MQTTracker) is proposed to contribute to the investigation of MQTT protocol in order to provide a safer technological future in the warmth of people's homes. The MQTT-IOT-IDS2020 dataset is used to train the machine learning model. In addition, different attack detection algorithms are compared to ensure the suitable algorithm is chosen to perform accurate classification of attacks within MQTT traffic.

A Study on Voice Command Learning of Smart Toy using Convolutional Neural Network (합성곱 신경망을 이용한 스마트 토이의 음성명령 학습에 관한 연구)

  • Lee, Kyung-Min;Park, Chul-Won
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.9
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    • pp.1210-1215
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    • 2018
  • Recently, as the IoT(Internet of Things) and AI(Artificial Intelligence) technologies have developed, smart toys that can understand and act on the language of human beings are being studied. In this paper, we study voice learning using CNN(Convolutional Neural Network) by applying artificial intelligence based voice secretary technology to smart toy. When a human voice command gives, Smart Toy recognizes human voice, converts it into text, analyzes the morpheme, and conducts tagging and voice learning. As a result of test for the simulator program implemented using Python, no malfunction occurred in a single command. And satisfactory results were obtained within the selected simulation condition range.

Role Based Smart Contract For Data sharing

  • Joachim, Kweka Bruno;Rhee, Kyung-Hyune
    • Annual Conference of KIPS
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    • 2018.10a
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    • pp.235-237
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    • 2018
  • The Internet has allowed many things to move fast, including sharing of data, files and others within a second. Many domains use applications range from IoT, smart cities, healthcare, and organizations to share the data when necessary. However, there are some challenges faced by existing systems that works on centralized nature. Such challenges are data breach, trustiness issue, unauthorized access and data fraud. Therefore in this work, we focus on using a smart contract which is used by blockchain platform and works on decentralized form. Furthermore, in this work our contract provides an access to the file uploaded onto the decentralized storage such as IPFS. By leveraging smart contract-role based which consist of a contract owner who can manage the users when access the certain resources such as a file and as well as use of decentralized storage to avoid single point of failure and censorship over secure communication channel. We checked the gas cost of the smart contract since most of contracts tends to be a high cost.

Design of Path Prediction Smart Street Lighting System on the Internet of Things

  • Kim, Tae Yeun;Park, Nam Hong
    • Journal of Integrative Natural Science
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    • v.12 no.1
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    • pp.14-19
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    • 2019
  • In this paper, we propose a system for controlling the brightness of street lights by predicting pedestrian paths, identifying the position of pedestrians with motion sensing sensors and obtaining motion vectors based on past walking directions, then predicting pedestrian paths through the route prediction smart street lighting system. In addition, by using motion vector data, the pre-treatment process using linear interpolation method and the fuzzy system and neural network system were designed in parallel structure to increase efficiency and the rough set was used to correct errors. It is expected that the system proposed in this paper will be effective in securing the safety of pedestrians and reducing light pollution and energy by predicting the path of pedestrians in the detection of movement of pedestrians and in conjunction with smart street lightings.

Next-Generation Biomedical Devices via MicroLEDs (마이크로LED를 응용한 차세대 생체 치료 소자 개발)

  • Lee, Han Eol
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.34 no.4
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    • pp.221-228
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    • 2021
  • With the advent of the IoT (internet of things) era, there has been discussion on how to efficiently use various information from daily life. In academic and industrial society, various smart devices such as smart watches, smart phones, and smart glasses have been developed and commercialized for narrowing the physical/psychological distance with user information. According to recent developments of smart devices, the contemporary people have desired to check their body information and treat disease by themselves. According to the needs of the time, biological researches by phototherapy/monitoring have been actively conducted. Among various light sources, microLEDs have been spotlighted due to their superior optoelectric properties and stability. In this paper, we would like to review the state-of-the research results on the next-generation biological therapy devices via microLEDs.

Implementation of Smart Monitoring System based on Breathing Sensor

  • Cha, jin-gil;Kim, Seong-Kweon
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.36-41
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    • 2022
  • In the 21st century, information collection and information provision based on digital informatization and intelligent automation are emerging as one of the social problems in the society for the elderly and the vulnerable groups in the welfare society including the disabled, and various methods are being studied to find realistic alternatives. Among these factors, the problem of the elderly living alone is emerging as the most serious, and as a realistic approach to solve some problems by applying information devices, it is a monitoring system using the Internet of Things(IoT). The need for an optimized system is emerging. In this study, the state of the elderly and the elderly living alone can be measured remotely by applying IoT technology. We present the research cases of a Breathing Sensor-based Smart Monitoring System that is used as a smart information system and used as a monitoring system for the elderly and infirm when it is identified as deceased through state detection

Group Key Management Method for Secure Device in Smart Home Environment (스마트홈 환경에서의 안전한 디바이스 관리를 위한 그룹키 관리 기법)

  • Ryu, Ho-Seok;Kwak, Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.2
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    • pp.479-487
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    • 2015
  • According to IT development, smart home services is providing remote service, monitoring service and other various services through smart home devices based on network. But, smart home environment exists security threats such as data falsification, illegal authentication and invasion of privacy through a malicious device. Smart home is studying to prevent these security threats, but the studies of smart home environment security are still in early stage of development and the studies of group key management method is lacking in smart home. In this paper, we propose the group key management method for secure device in smart home.