• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.410-412
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• 2021

Recently, the amount of information and content has increased dramatically. Users can easily obtain recipe through various media. In addition, the water purifier market is growing without a downward trend and demand for more convenient and smart water purifiers are increasing. By using a smart water purifier with application, each individual can improve the quality of the dish by using a certain amount of water that each person prefers. A solenoid valve was used to allow only the amount of water set by individual to flow out and a solenoid valve and smartphones were linked using Bluetooth communication while using smartphone applications developed when setting the amount of water.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.501-502
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• 2021

기존의 홈 시스템은 비용이 비싸며 공간적인 문제가 발생하고, 기능적으로 한계가 있다. '아두이노를 활용한 스마트홈 시스템'은 아두이노를 활용하기 때문에 비용적, 공간적 문제를 해결하고 여러 가지 가전제품을 환경에 맞춰 자동으로 작동하는 스마트 기능을 넣었다. 온, 습도 센서를 이용해 내부 온도가 설정 값보다 높으면 에어컨이 켜지고, 습도가 낮으면 자동으로 가습기가 작동한다. 또한, 창문에 부착된 UV센서를 통해 자외선 수치가 높아질 경우 자동으로 블라인드가 내려간다. 침실에 누워 잠들기 전, 불을 꺼야 하는 상황이 있다. 이런 경우, 직접 불을 끄러 가지 않고 침대 머리맡에 설치된 초음파 센서에 손을 가져다 대어 일정 거리 값 이하로 되면 자동으로 침실 불이 꺼진다. 그리고 거실에 설치 된 인체감지센서를 통해 불이 꺼진 어두운 거실에 움직임이 감지되면 자동으로 거실 불이 켜지게 된다. 이러한 자동 제어 기능을 블루투스와 연동된 스마트폰을 통하여 사용자 편의에 따라 수동적 제어가 가능하고, 거실에 설치된 ESP-32CAM을 통해 밖에서도 거실 내부를 실시간 확인할 수 있다. 이런 아두이노 스마트홈 시스템으로 사용자들에게 편리함과 안정성을 제공한다.

• Journal of the Semiconductor & Display Technology
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• v.22 no.2
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• pp.50-55
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• 2023

Due to the unavailability of global positioning system (GPS) indoors, various indoor pedestrian positioning methods have been designed to estimate the position of the user using received signal strength (RSS) measurements from radio beacons, such as wireless fidelity (WiFi) access points and Bluetooth low energy (BLE) beacons. In indoor environments, radio-frequency (RF) signals are unpredictable and change over space and time because of multipath associated with reflection and refraction, shadow fading caused by obstacles, and interference among different devices using the same frequencies. Therefore, the outliers in the positional information obtained from the indoor positioning method based on RSS measurements occur often. For this reason, the performance of the positioning method can be degraded by the characteristics of the RF signal. To resolve this issue, a map-matching (MM) algorithm based on maximum probability (MP) estimation is applied to the indoor positioning method in this study. The MM algorithm locates the aberrant position of the user estimated by the positioning method within the limits of the adjacent pedestrian passages. Empirical experiments show that the positioning method can achieve higher positioning accuracy by leveraging the MM algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.640-642
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• 2021

In order to collect a lot of data clearly and efficiently, it is essential to know the locations of the current facilities and analyze the movement data. The current location collection technology can collect data using a GPS (Global Positioning System) sensor, but in the case of GPS, it has strong straightness and low diffraction and reflectivity, making it difficult to position indoors. It is impossible to measure the distance between the server and the client because the signal sensitivity cannot be received. This paper implements an indoor positioning system using beacons and scanners in Raspberry Pi 3 B+. It controls Advertise Mode and Connection Mode at the same time using the scanner algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.300-302
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• 2021

Usage of a face mask has become mandatory in many countries after the COVID-19. This paper described to develop a IoT based smart mask system for monitoring face mask. The system developed in this paper has two main units, a sensor module, and a smartphone application. The sensor module consists of four components: temperature and humidity sensor, a heart rate sensor, and a BLE chip. This components work as a unit to collect data and stream them through an I2C port over BLE to a connected mobile device. The smartphone application is an Android application developed for smart phones. It enables the Android device to communicate with the sensor to receive sensor data, process, store and display results.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.281-284
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• 2022

코로나로 인해 대한민국의 모든 산업은 위축되었고, 모두가 힘든 시기를 보내고 있지만 그 중 캠핑산업은 예외이다. 코로나와 상관없이 야외에서 즐길 수 있는 캠핑장을 찾는 사람들은 꾸준히 늘어나고 있다. 이러한 캠핑에 있어서 가장 중요한 요소는 먹거리이다. 그 중 가장 대표적이고 잘 알려진 먹거리는 고기 요리이다. 본 논문은 캠핑족들의 편의를 제공해주기 위해 블루투스 통신을 통해 적정 고기 온도를 알려주는 서비스를 제공한다. 아두이노와 블루투스 서미스터 센서를 연결하여 안드로이드 스튜디오를 활용하여 애플리케이션을 개발하고, 블루투스로 통신을 통해 외부 장치 데이터 통신 구현을 통하여 실시간 온도 데이터를 확인할 수 있다. 또한 Firebase를 활용하여 레시피북을 제작해 접하지 못했던 육류 위주의 레시피를 제공하는 서비스도 제공한다.

• Physical Therapy Rehabilitation Science
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• v.12 no.3
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• pp.251-258
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• 2023

Objective: The practice of breathing exercises involves altering the depth and frequency of respiration. Strengthening respiratory muscles plays a crucial role in maintaining overall health and well-being. The efficiency of the respiratory system affects not only physical activity but also various physiological processes including cardiovascular health, lung function, and cognitive abilities. The study evaluated the reliability of the developed device for inspiratory/expiratory training using pressure sensors and Bluetooth connectivity with a smartphone application. Design: Design & development research Methods: The research methodology involved connecting a custom-made respiratory sensor to an IMT-PEP BIC Breath device. Various pressure conditions were measured, and statistical analyses were performed to assess reliability and consistency. Results showed high Intraclass Coefficient Correlation (ICC) values for both inspiratory and expiratory pressures, indicating strong test-retest reliability. The device was designed for ease of use and wireless monitoring through a smartphone app. Results: This study conducted at expiratory pressure confirmed the proper operation of the IMT/PEP breathing trainer at the specified pressure setting in the product. The pressure sensor demonstrated high test-retest reliability with an ICC value of 0.999 for both expiratory and inspiratory pressure measurements. Conclusions: The developed respiratory training device measured and monitored inspiratory and expiratory pressures, demonstrating its reliability for respiratory training. The system could be utilized to record training frequency and intensity, providing potential benefits for patients requiring respiratory interventions. Further research is needed to assess the full potential of the device in diverse populations and applications.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.87-92
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• 2023

As the elderly population increases, the number of patients with various joint diseases, including degenerative arthritis, is steadily increasing. CPM medical devices are needed to effectively treat degenerative arthritis that is common in the elderly population. Domestic CPM medical devices have limited functions and are highly dependent on imports for expensive imported medical devices. To solve this problem, we designed a ROM measurement function using a current sensor that is not present in existing composite joint CPM medical devices. The algorithm was designed using the fact that the force caused by joint stiffness greatly increases the current flowing through the DC motor. In addition, the need for digital healthcare in the medical field is gradually expanding as the proportion of chronically ill patients increases due to the spread of the non-face-to-face economy due to COVID-19 and the aging population. Therefore, this paper aims to improve the performance of CPM medical devices by allowing real-time confirmation of rehabilitation exercise information and operation range measurement results in accordance with digital healthcare trends through a Bluetooth application developed as an Android studio.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.67-76
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• 2024

The Internet of Things (IoT) has revolutionized communication and device operation, but it has also brought significant security challenges. IoT networks are structured into four levels: devices, networks, applications, and services, each with specific security considerations. Personal Area Networks (PANs), Local Area Networks (LANs), and Wide Area Networks (WANs) are the three types of IoT networks, each with unique security requirements. Communication protocols such as Wi-Fi and Bluetooth, commonly used in IoT networks, are susceptible to vulnerabilities and require additional security measures. Apart from physical security, authentication, encryption, software vulnerabilities, DoS attacks, data privacy, and supply chain security pose significant challenges. Ensuring the security of IoT devices and the data they exchange is crucial. This paper utilizes the Random Forest Algorithm from machine learning to detect anomalous data in IoT devices. The dataset consists of environmental data (temperature and humidity) collected from IoT sensors in Oman. The Random Forest Algorithm is implemented and trained using Python, and the accuracy and results of the model are discussed, demonstrating the effectiveness of Random Forest for detecting IoT device data anomalies.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.283-288
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• 2024

In this paper, a novel mechanism for overcoming obstacles is studied by designing an All-Directional RC car for obstacle traversal and creating test courses with various obstacles. We propose an algorithm for controlling the RDS3115 servo motor and utilize a gyro sensor to detect the incline of various obstacle terrains, adjusting the servo motor's angle to enable the RC car to navigate the terrain. Through terrain experiments in the test course, we determined the most suitable RC car turning angles for traversing all obstacle terrains created in the experimental terrain.