• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.157-163
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• 2020

Recently, fine dust has been known to cause cardiovascular diseases here, raising interest in ways to reduce emissions by efficiently using fuel from cars that cause air pollution. Accordingly, a driving assistance system was developed to save fuel by eco-driving and improve the driver's bad driving habits. The system was developed using raspberry pi, arduino and Android. Using RPM, speed, fuel injection information obtained from OBD-II, and gyro-sensor values, Fuel-Cut is induced to create an optimal inertial driving environment. It also provides various information system such as weather, driving environment, and preventing drowsy driving through GUI and voice recognition functions. It is possible to check driving records and vehicle fault information using Android application and has low overhead for message transmission using MQTT protocol optimized for IoT environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1325-1330
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• 2020

New-born babies who require special attention medically are admitted often to incubator. Incubators are well equipped to fulfill take care of infants, but they have to hospital and so expensive. This paper proposes a smart incubator that can solve the problem of convenience and cost aspect of these incubators. Developed incubator enables near-field monitoring using Arduino Uno as the main control device and Bluetooth communication. The environment in the incubator measures temperature and humidity using a DHT22 sensor and the sound using a P5510 microphone. If the temperature and humidity data set by the user are lower or higher than the reference value, it is designed to operate the heating pad using the controller or turn on the fan to allow air circulation. The measured values in the incubator are displayed in real time on the user's smartphone monitoring screen and are programmed using app inventor. Developed incubators can help take care of infants at low cost in the home.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.69-74
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• 2022

Even after the drunk driving law was revised through the Yoon Chang-ho Act in 2019, the proportion of habitual offenders among all drunk drivers in 2021 was 4.7%, up 0.5% from 2018. In addition, drunk driving is not easily stopped due to the addiction of alcohol, and there is a high probability of recidivism in accidents as it is often driven again. Therefore, in this paper, to prevent this, when alcohol is measured using its own sensor rather than a manual police measure, the vehicle stops and related data such as the current location and time are automatically saved. Since it is not possible to develop directly on the car, this system was developed by converging various technologies and sensors such as Arduino board, Firebase, and GPS based on the IoT environment in consideration of the simulation environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.46-63
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• 2024

One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring real-time water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA- PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.269-270
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• 2016

본 논문은 사용자가 중심이 되어 물의 온도를 자동적으로 검출하고 제어할 수 있는 체감형 스마트 컵 받침을 제안한다. 제안한 스마트 컵 받침은 사용자의 설정에 따라 물의 온도를 제어하며, 여러 가지 색상의 빛을 방출하는 시각적 디스플레이 방식으로 온도변화를 판단할 수 있다. 체감형 스마트 컵 받침 시스템은 설정한 온도에 따라 자동적으로 수온을 조정할 수 있는 것이다. 사용자가 이 스마트 컵 받침을 사용하면 수온을 쉽게 판단할 뿐만 아니라 사용자 맞춤형으로 적당한 온도의 물도 마실 수 있다.

• Journal of Sensor Science and Technology
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• v.28 no.6
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• pp.407-413
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• 2019

Using 3D printing technology, we created a biomimetic water strider robot that can monitor environments. We found ways to increase the bearing capacity of the fluid-driven water strider robot by conducting experiments then comparing with more stable robots. The controller of the robot is based on Arduino, and can be controlled wirelessly with a Bluetooth module. The speed of the robot is 7.37 cm/s, and the bearing capacity is 29 g. A lithium polymer battery that can be charged with a solar cell was used as a power source, and both the charging and driving times were also explored.

• Annual Conference of KIPS
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• 2016.10a
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• pp.868-869
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• 2016

인류에게 가스는 주된 에너지원이며 현재에도 우리는 편리하게 가스를 사용하고 있다. 가스 감지에 대한 연구들이 많지만 대부분은 가정에서 사용하기엔 너무 비용이 많이들거나, 기능이 너무 부실하다. 따라서 본 논문에서는 기존의 방법들보다 비용이 절감되고 가스 누출 상황에 대해 좀 더 빠르고 정확하게 대응할 수 있는 아두이노와 가스센서를 통해 가스를 감지하고 안드로이드 어플리케이션을 통해 사용자에게 경고하며, 소방서에 문자메시지를 보낼 수 있는 시스템을 제안한다.

• Proceeding of EDISON Challenge
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• 2017.03a
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• pp.534-538
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• 2017

There are three types of robots that move on the ground classified as drivetrain. Wheels, tracks and Legs. Wheels and tracks are much easier to construct and control, but they have problems passing through obstacles like people. This paper discusses the design of line tracing using Theo Jansen, one of multi-legged walking mechanism. In order to increase the moving speed, the Jansen mechanism is designed by maximizing the objective variable as GL (Ground Length), GAC (Ground Angle Coefficient). In this project, only three sensors were attached and Arduino was used for optimal control of the motor using the sensor values.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1087-1092
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• 2017

This paper describes a work that makes convenient use of room indicator of a professors' office. The functions are divided into two main functions, the main function being the display panel and the additional function LCD display. Both of these functions are designed to be controlled by smart phone application using bluetooth wireless communication.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.410-412
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• 2017

The sensors can be operated and controlled anywhere, anytime, anywhere, via Arduino, an open source computing platform, through aduino, an open-source computing platform.