• Title/Summary/Keyword: Smart IoT convergence

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Smart Home System Using Internet of Things

  • Santoso, Leo Willyanto;Lim, Resmana;Trisnajaya, Kevin
    • Journal of information and communication convergence engineering
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    • v.16 no.1
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    • pp.60-65
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    • 2018
  • The Internet of Things (IoT) is happening now. By implementing IoT, we can build smart home system. Smart home is an application that is a combination of technology and services that specialize in the home environment with specific functions aimed at improving the efficiency, comfort and security of the occupants. Smart homes filled with connected products are loaded with possibilities to make our lives easier, more convenient, and more comfortable. This intelligent home system uses a microcontroller to process functions that provided by smart home system, such functions as RFID for door access and PIR sensors for motion detection. By using Android users could control the sensors anytime and anywhere. Microcontroller used is Arduino IDE with WeMos D1R2 board. Based on the testing process, there was a successful communication between the components of the device, sensors, and Android devices. Users could open or close the solenoid, users can also turn off or turn on electronic devices using Android.

A User Authentication Scheme using Blockchain in Smart Grid-based Edge Computing Environments (스마트 그리드 기반 엣지 컴퓨팅 환경에서 블록체인을 이용한 사용자 인증 기법)

  • Hakjun Lee;Youngsook Lee
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.71-79
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    • 2022
  • The smart grid system has emerged to maximize energy efficiency through real-time information exchange between power providers and consumers by combining information technology and power supply systems. The authentication schemes using blockchain in a smart grid system have been proposed, which utilize an edge server's architecture to collect and store electric power-related information and process data between a central cloud server and smart grid-IoT devices. Although authentication schemes are being proposed to enhance security in the smart grid environment, many vulnerabilities are still reported. This paper presents a new mutual authentication scheme to guarantee users' privacy and anonymity in a smart grid based on edge computing using blockchain. In the proposed scheme, we use the smart contract for the key management's efficiency, such as updating and discarding key materials. Finally, we prove that the proposed scheme not only securely establishes a session key between the smart grid-IoT device of the user and the edge server but also guarantees anonymity.

Implementation of Water Depth Indicator using Contactless Smart Sensors (비접촉식 스마트센서 기반 수위측정 방법 구현)

  • Kim, Minhwan;Lee, Jinhee;Song, Giltae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.733-739
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    • 2019
  • Water level measurement is highly demanding in IoT monitoring areas such as smart factory, smart farm, and smart fish farm. However, existing water level indicators are limited to be used in industrial fields as commercial products due to the high cost of sensors and the complexity of algorithms used. In order to solve these problems, our paper proposed methods using an infrared distance sensor as well as a hall sensor for the water level measurement, both of which are contactless smart sensors. Data errors caused by the inaccuracy of existing sensors were decreased by applying new simple structures so that versatility is enhanced. The performance of our method was validated using experiments based on simulations. We expect that our new water depth indicator can be extended to a general-purpose water level monitoring system based on IoT technology.

Temperature Trend Predictive IoT Sensor Design for Precise Industrial Automation

  • Li, Vadim;Mariappan, Vinayagam
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.75-83
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    • 2018
  • Predictive IoT Sensor Algorithm is a technique of data science that helps computers learn from existing data to predict future behaviors, outcomes, and trends. This algorithm is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Sensors and computers collect and analyze data. Using the time series prediction algorithm helps to predict future temperature. The application of this IoT in industrial environments like power plants and factories will allow organizations to process much larger data sets much faster and precisely. This rich source of sensor data can be networked, gathered and analyzed by super smart software which will help to detect problems, work more productively. Using predictive IoT technology - sensors and real-time monitoring - can help organizations exactly where and when equipment needs to be adjusted, replaced or how to act in a given situation.

A Study on improving manufacturing environment using IoT technology in small business environment (중소기업 환경에서 IoT 기술을 이용한 제조 환경 개선에 관한 분석 연구)

  • Jeong, Yoon-Su
    • Journal of Convergence for Information Technology
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    • v.7 no.2
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    • pp.83-90
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    • 2017
  • To launch the product recently attached to IoT consumer electronics, smart phones and healthcare products around the large companies is a trend that is growing interest in the IoT. However, the country's small business environment is what the environmental improvement process that is easily accessible to the small business environment because the IoT technologies are difficult to apply the IoT technologies than any other country environment than desperate situation. In this paper, we propose a service operating model to improve production efficiency when the fusion manufacturing process is currently operating in the country SMEs and IoT technology. Proposed model using the manufacturing product information and sensor / dabayiseu information in the entire manufacturing process has as its object to utilize the IoT technology. Performance evaluation, the proposed model is more efficient than the previous model and 23.1% of the manufacturing process. In addition, it is increasing the manufacturing process was reduced by 17.3%, the average processing time as compared to the previous model. Finally, the personnel cost to be used in the manufacturing process was found to be an average decrease of 19.8% than previous model.

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

Dynamic Computation Offloading Based on Q-Learning for UAV-Based Mobile Edge Computing

  • Shreya Khisa;Sangman Moh
    • Smart Media Journal
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    • v.12 no.3
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    • pp.68-76
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    • 2023
  • Emerging mobile edge computing (MEC) can be used in battery-constrained Internet of things (IoT). The execution latency of IoT applications can be improved by offloading computation-intensive tasks to an MEC server. Recently, the popularity of unmanned aerial vehicles (UAVs) has increased rapidly, and UAV-based MEC systems are receiving considerable attention. In this paper, we propose a dynamic computation offloading paradigm for UAV-based MEC systems, in which a UAV flies over an urban environment and provides edge services to IoT devices on the ground. Since most IoT devices are energy-constrained, we formulate our problem as a Markov decision process considering the energy level of the battery of each IoT device. We also use model-free Q-learning for time-critical tasks to maximize the system utility. According to our performance study, the proposed scheme can achieve desirable convergence properties and make intelligent offloading decisions.

A Study on Performance Analysis of a Messaging System in IoT Environments (IoT 환경에서의 메시징 시스템의 성능 분석에 관한 연구)

  • Young-Dong Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.2
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    • pp.112-118
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    • 2023
  • Internet of Things(IoT) technology is developing to a stage where the Internet and objects are connected and objects themselves analyze and judge data to interconnect the real world and the virtual world in real time. This technology consists of sensors, actuators, devices, and networks, and it is being applied in various fields. As the number of IoT devices and applications increases, data traffic also increases. In this paper, a messaging system is designed and implemented in order to analyze the performance between an IoT device and MQTT broker. The experimental was performed to measure MQTT-based round-trip time and message transmission time between the IoT device and the broker. The result shows that there is no packet loss, and propagation delay affects round-trip time.

The Internet of Things(IoT) applications and value creation in the retail industry: focusing on consumer decision-making stages (리테일 산업에서의 구매단계별 사물인터넷 활용과 가치 창출)

  • Park, In-hyoung;Jeong, So Won
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.187-198
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    • 2021
  • This study aims to understand the current status of the use of IoT-based products and services from the perspective of consumers and analyze the role and consumption value of each service-generated from the products and services. Their features and generated consumption value have been identified The decision-making process was divided into based on three stages (pre-purchase, purchase, and post-purchase) stages, and IoT services were classified in stages. In the pre-purchase stage, the IoT service provides information and alternatives, and is used for interaction and automatic payment systems in the purchasing stage. In the post-purchase stage, repetitive purchases are encouraged and after-sale services are provided. Throughout the decision-making process, smart retai application and servicel provides epistemic and functional value. In addition, it provides conditional and social value in the pre-purchase stage, and conditional value in the post-purchase stage. This study aims to provideprovides marketers and retailers an insight advice for the enhanced satisfaction of consumersimproving the satisfaction of consumers and the development of smart retail by examining the consumer-centered consumption value.

A Study on u-Health Fusion Field based on Internet of Thing (사물인터넷 기술 기반의 u-Health 산업 융합 연구)

  • Lee, Seong-Hoon;Lee, Dong-Woo
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.19-24
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    • 2016
  • To share the informations, we have been used Internet by the unique information transfer method. Many devices are showed and have been used in our various fields because of ICT(Information communication technology) development. The various devices are connected by Internet to send or receive the informations. We call this situation to The Internet of Things(IoT). It use the Internet for the interconnection of the various things. Studies on IoT progress extensively on today. Therefore, we studied a healthcare field related with Internet of things. In this paper, we described many actual cases such as smart bottle of medicine and smart pill in healthcare domains based on IoT.