• Title/Summary/Keyword: Arduino application experiment

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Development of Tutorial for Measuring Gravity Acceleration Using Arduino and Its Educational Application (아두이노를 활용한 중력 가속도 측정과 관련된 튜토리얼 및 교육적 활용 방안)

  • Kim, Hyung-Uk;Mun, Seong-Yun
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.69-77
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    • 2022
  • Physical experiment through MBL has been used in many schools for a long time since students can check the experiment results immediately and conduct the experiment easily. However, conducting the experiment, not knowing the principle of the device or simply concentrating on the derived data has been raised as the problem of MBL experiment. To supplement this problem, this study measured the acceleration of gravity with the picket fence method, which is often used in MBL experiment, utilizing Arduino, calculated the error rate through a comparison to the actual acceleration of gravity and discussed the educational application of the experiment to measure it. As a result of the experiment, the error rate between the acceleration of gravity calculated by the experiment and the actual acceleration of gravity was about 1%, so it turned out that relatively accurate measurements were possible. Also, the sample mean of the experimental value was included in the confidence interval of 95%, so it could be concluded that it was a significant experiment. In addition, this study showed the possibility of the educational application of the experiment to measure it through the following: It can supplement the structural disadvantages of MBL; it can consider the interaction between Physics and Math; it is possible to converge with information course in STEAM education; and it is inexpensive to be equipped with the equipment. Hopefully, the physical experiment utilizing Arduino will further be revitalized in science gifted education based on this study.

Remotely Controllable Smart Mobile System Using Arduino and Raspberry Pi for Infants

  • Park, Hyun-Wook;Shin, Young-Weon;Kim, Jin-Yeob;Kong, Ki-Sok
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.11
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    • pp.17-25
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    • 2020
  • In this paper, we deal with a system that provides temperature, humidity and fine dust data around infants to parents through Arduino and Raspberry Pi. It controls the operation of the mobiles remotely through applications. Android applications can perform the following functions. First, the infant's surrounding temperature, humidity and fine dust data are received. Second, mobile controls the smart mobile remotely. Third, recording and playing the voices of parents and enhancing the convenience of parenting. Through the experiment of measuring the operating time of the remote control module, it was confirmed that the application can quickly access the system. Existing products on the market do not provide environmental information around the infants and application that has various functions. The system covered in this paper is expected to improve child-rearing convenience by providing parents environmental information around infants, remotely controllable function and convenient functions of the application.

Neural networks optimization for multi-dimensional digital signal processing in IoT devices (IoT 디바이스에서 다차원 디지털 신호 처리를 위한 신경망 최적화)

  • Choi, KwonTaeg
    • Journal of Digital Contents Society
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    • v.18 no.6
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    • pp.1165-1173
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    • 2017
  • Deep learning method, which is one of the most famous machine learning algorithms, has proven its applicability in various applications and is widely used in digital signal processing. However, it is difficult to apply deep learning technology to IoT devices with limited CPU performance and memory capacity, because a large number of training samples requires a lot of memory and computation time. In particular, if the Arduino with a very small memory capacity of 2K to 8K, is used, there are many limitations in implementing the algorithm. In this paper, we propose a method to optimize the ELM algorithm, which is proved to be accurate and efficient in various fields, on Arduino board. Experiments have shown that multi-class learning is possible up to 15-dimensional data on Arduino UNO with memory capacity of 2KB and possible up to 42-dimensional data on Arduino MEGA with memory capacity of 8KB. To evaluate the experiment, we proved the effectiveness of the proposed algorithm using the data sets generated using gaussian mixture modeling and the public UCI data sets.

Auto plant control system by using Arduino

  • Chowdhury, Deb
    • Korean Journal of Artificial Intelligence
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    • v.1 no.1
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    • pp.4-6
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    • 2013
  • In the era of information society, IT industry has been developed very much. New technology has made appearance in citizens' lives. IOT (Internet of Things) has grown up the most rapidly in IT industry. Kevin Ashiton, MIT specialist, said, "Loading of FRIS and other sensors shall build Internet of things." Internet of things is said to let things have sensor and communication module and to exchange information and communicate each other. In this study, Internet of things has been applied to flowerpot to build automatic flowerpot control system that turns fan ON and supplies water depending upon temperature and moisture. Users are difficult to cognize temperature and humidity of flower pot correctly. In this study, an experiment obtained correct value of temperature and humidity to build control system. At the performance test of flower pot, commands turned ON depending upon temperature and humidity. Control system should be added to control water supply quantity and time objectively according to servo motor control. Purpose of further study was to control flower pot by remote system in connection with smart phone application. An application control can make not only temperature and humidity statistics but also server depending upon users' needs to turn fan ON and take actions and to control flower pot.

Exploring Structural Stability using Arduino for the Prevention of Tower Cranes' Safety Accident : focused on ardu (타워크레인의 안전사고 예방을 위한 아두이노 기반 구조적 안정성 탐색)

  • Kim, Jun-Seok;Lee, Won-Hee;Kim, Sungae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.27-31
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    • 2019
  • Various safety accidents occur frequently at construction sites due to poor operation of construction machines and insufficient safety facilities. Among them, safety accidents on the Tawerkrain have resulted in massive casualties and property damage. Therefore, the purpose of this study is to develop safety devices to prevent safety accidents in the Tower Crane. To this end, the existing safety device was explored and the model of the Tower Crane was constructed using Arduino. The weight of the object, the weight of the pendulum, and the distance from the center axis, as well as the equation of turning and experimentation, suggested mobile weights as a safety device to identify and resolve problems with existing safety devices. This is expected to minimize the limit on the salvage distance of the tower crane, thus providing a safer working environment away from the risk of a safety accident.

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Development of SW Education Convergence Science Curriculum-linked Experimental Automation Teaching Tool (SW교육 융합 과학교과 연계형 실험 자동화 교구 개발)

  • Son, Min-Woo;Kim, Jin-ha;Ju, Yeong-Tae;Kim, Jong-Sil;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.5
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    • pp.967-972
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    • 2020
  • Most of the experimental tools currently used are applied to experiments in the physical field by utilizing sensors and only MBL that are suitable for specific experiments have been developed. However, There is no experimental design stage using SW fusion, and there is a limit to the application of various chemistry experiments in textbooks, and in the case of Arduino, it is difficult for students to learn and understand language when programming. In this paper, we designed and developed a SW education convergence science experiment apparatus including a learner's active experiment design process, overcoming the shortcomings of the existing microcomputer experiment and the limitations of software education.

Study on Development for Smart Door Lock and App. using Arduino and Infrared Sensor (아두이노와 적외선 센서를 이용한 스마트 도어락과 앱 개발에 대한 연구)

  • Hyeomg-Jun, Jeon;Yoon-Soo, Na;Yeo-Gyun, Youn;Kyeong-Ho, Kim;Hee-Woon, Ahn;Jae-Wook, Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1199-1206
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    • 2022
  • In this paper, unlike door locks that are controlled only by the existing keypad because electronic devices can be easily operated through apps on smartphones in modern society, an app was created using app inventory so that door locks can be controlled using smartphones. Through the Bluetooth module experiment, the communication distance with the smartphone was controlled up to 10m when there were no obstacles, and through the voice recognition experiment, the recognition rate was 85% and 90% at 500~1000Hz and 1000~1500Hz, respectively, and 70% and 80% at 80dB noise. Through the results of the experimental evaluation, it was confirmed that convenience and security could be improved.

Experimental Analysis to Derive Optimal Wavelength in Underwater Optical Communication Environment (수중 광통신 환경에서 최적 파장을 도출하기 위한 실험적 해석)

  • Dong-Hyun Kwak;Seung-il Jeon;Jung-rak Choi;Min-Seok Han
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.478-488
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    • 2023
  • This paper investigates the naval application of laser communication as a potential replacement for traditional acoustic wave communication in underwater environments. We developed a laser transceiver using Arduino and MATLAB, conducting a water tank experiment to validate communication feasibility across diverse underwater conditions. In the first experiment, when transmitting data through a laser, the desired message was converted into data and transmitted, received, and confirmed to be converted into the correct message. In the second experiment, the operation of communication in underwater situations was confirmed, and in the third experiment, the intensity of light was measured using the CDS illuminance sensor module and the limits of laser communication were measured and confirmed in various underwater situations. Additionally, MATLAB code was employed to gather data on salinity, water temperature, and water depth for calculating turbidity. Optimal wavelength values (532nm, 633nm, 785nm, 1064nm) corresponding to calculated turbidity levels (5, 20, 55, 180) were determined and presented. The study then focuses on analyzing potential applications in naval tactical communication, remote sensing, and underwater drone control. Finally, we propose measures for overcoming current technological limitations and enhancing performance.

OnDot: Braille Training System for the Blind (시각장애인을 위한 점자 교육 시스템)

  • Kim, Hak-Jin;Moon, Jun-Hyeok;Song, Min-Uk;Lee, Se-Min;Kong, Ki-sok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.41-50
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    • 2020
  • This paper deals with the Braille Education System which complements the shortcomings of the existing Braille Learning Products. An application dedicated to the blind is configured to perform full functions through touch gestures and voice guidance for user convenience. Braille kit is produced for educational purposes through Arduino and 3D printing. The system supports the following functions. First, the learning of the most basic braille, such as initial consonants, final consonant, vowels, abbreviations, etc. Second, the ability to check learned braille by solving step quizzes. Third, translation of braille. Through the experiment, the recognition rate of touch gestures and the accuracy of braille expression were confirmed, and in case of translation, the translation was done as intended. The system allows blind people to learn braille efficiently.

Exercise Posture Calibration System using Pressure and Acceleration Sensors (압력 및 가속도 센서를 활용한 운동 자세 교정 시스템 )

  • Won-Ki Cho;Ye-Ram Park;Sang-Hyeon Park;Young-Min Song;Boong-Joo Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.4
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    • pp.781-790
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    • 2024
  • As modern people's interest in exercise and health increases, the demand for exercise-related information and devices is increasing, and exercising in the wrong posture can lead to body imbalance and injury. Therefore, in this study, the purpose of this study is to correct the posture for health promotion and injury prevention through the correct exercise posture of users. It was developed using Arduino Uno R3, a pressure sensor, and an acceleration sensor as the main memory device of the system. The pressure sensor was used to determine the squat posture, and the acceleration sensor was used to determine three types of gait: normal step, nasolabial step, and saddle step. Data is transmitted to a smartphone through a Bluetooth module and displayed on an app to guide the user in the correct exercise posture. The gait was determined based on the 20˚ angle at which the foot was opened, and the correct squat posture was compared with the ratio of the pressure sensor values of the forefoot and hindfoot based on the data of the skilled person. Therefore, based on an experiment with about 90% accuracy when determining gait and 95% accuracy based on a 7:3 ratio of pressure sensor values in squat posture, a system was established to guide users to exercise in the correct posture by checking in real time through a smartphone application and correcting exercise in the wrong posture.