Distributed Campus Bike Sharing System Based-on Internet of Things (IoT)

Rachman, Fauzan Adhi; Putrada, Aji Gautama; Abdurohman, Maman

doi:10.1109/icoict.2018.8528778

Cited by 12 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Control of the aquarium is regulated by a microcontroller, and in this study, the microcontroller used is an ESP8266. The end device communicates with the server and application via an message queue telemetry transport (MQTT) Broker wirelessly [29]. Wireless communication is carried out by the Wi-Fi module, which is part of the ESP8266.…”

Section: Iot Environmentmentioning

confidence: 99%

A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm

2022

Self Cite

View full text Add to dashboard Cite

The development of the Internet of Things (IoT) has shown significant contributions to many application areas, such as smart cities, smart homes, and smart farming, including aquarium control systems. Important things in an aquarium system are the level of ammonia in the water and the temperature of the water. Other research proposes several systems to make the aquarium control system robust for the aquarium monitoring and control system. However, those systems have weaknesses; namely, the user must actively access information to the server. This paper proposes a robust aquarium control system using the decision tree regression (DTR) algorithm. The development of this system was to overcome the problem of aquarium control by remote users. An accurate and real-time system is needed to monitor the aquarium so that it does not reach dangerous and critical points, such as in the case of an increase in water temperature. We did tests by developing an aquarium system connected to a server and an application that acts as a controller. Our measurements check the delay of sending data from the sensor to the server, process delay, actuator delay, user delay, and delay in reaching the aquarium's critical point. The measurement of the system's robustness is by calculating the probability of the information arrival to the user in the period of the critical point compared to the time needed to reach the critical point. Furthermore, we also made an analytical model based on the probability density function of the delay covered in this system. Analytically and experimentally, we show that the system can meet the needs of aquarium monitoring and control in an IoT-based environment.

show abstract

Section: Iot Environmentmentioning

confidence: 99%

A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…NodeMCU is an electronic board based on the ESP8266 chip, which has a similar function to a microcontroller and has an Internet connection [11]. The selection of the NodeMCU is because this microcontroller has advantages compared to Arduino microcontrollers, namely the ability to connect to the Internet via a Wi-Fi module [12].…”

Section: Iot System and Data Collectionmentioning

confidence: 99%

A Wearable Device for Enhancing Basketball Shooting Correctness with MPU6050 Sensors and Support Vector Machine Classification

Fadillah

Putrada

Abdurohman

2022

KINETIK

Self Cite

View full text Add to dashboard Cite

One of the impacts of Covid-19 is the delay of basketball sports competitions, which influences the athlete’s fitness and the athlete’s ability to play, especially for shooting techniques. Existing research in wearable devices for basketball shooting correctness classification exists. However, there is still an opportunity to increase the classification performance. This research proposes designing and building a smartwatch prototype to classify the basketball shooting technique as correct or incorrect with enhanced sensors and classification methods. The system is based on an Internet of things architecture and uses an MPU6050 sensor to take gyroscope data in the form of X, Y, and Z movements and accelerometer data to accelerate hand movements. Then the data is sent to the Internet using NodeMCU microcontrollers. Feature extraction generates 18 new features from 3 axes on each sensor data before classification. Then, the correct or incorrect classification of the shooting technique uses the Support-Vector-Machine (SVM) method. The research compares two SVM kernels, linear and 3rd-degree polynomial kernels. The results of using the max, average, and variance features in the SVM classification with the polynomial kernel produce the highest accuracy of 94.4% compared to the linear kernel. The contribution of this paper is an IoT-based basketball shooting correctness classification system with superior accuracy compared to existing research.

show abstract

“…Different controllers are used for controlling the motion of various sensors which will help to police department (CVT) [15]. [16]-[20] describes different models of IoT and networks which are currently helping the researchers to develop more about Internet of things. Different implementation techniques [21]-[23] are explained which are efficient in the field of IoT.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Efficient Secured Device Control using IOT

Srilatha¹

2020

IJETER

View full text Add to dashboard Cite

Availability of internet everywhere made us easy to advance in IoT and made it as a primary application in this advancing technology. Using this technology, Users can access devices remotely. Energy economical secured device management is proposed in this paper, where all the appliances and meters can admittance remotely. In proposed system, web-based device is hooked up to the most offer unit (meter) of the power unit system which can be monitored and retrieved information using web. Additionally, camera and motion detector devices are used for security purpose whose status will be notified with e-mail and SMS. For wireless property, the static science address is employed.Proposed system automation relies on the multiple applications in which one mode is voice recognition and the other is web-based application in the browser. Ultimately, the aim is to form devices safer and more intelligent than any other previous existing system.

show abstract

Distributed Campus Bike Sharing System Based-on Internet of Things (IoT)

Cited by 12 publications

References 3 publications

A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm

A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm

A Wearable Device for Enhancing Basketball Shooting Correctness with MPU6050 Sensors and Support Vector Machine Classification

Energy Efficient Secured Device Control using IOT

Contact Info

Product

Resources

About