10 research outputs found
Internet of things with NodeMCU ESP8266 for MPX-5700AP sensor-based LPG pressure monitoring
No full textThe use of liquefied petroleum gas (LPG) cylinders as fuel has become a basic need for the community. LPG is more efficient than oil stoves, but LPG also poses a danger. The dangers contained in gas cylinders cause users to be afraid to check the availability of gas in cylinders because the checking process must be directly close to the gas cylinder. Because of this danger, users do not check gas availability, causing it to run out of gas when cooking. To solve this problem, a system is needed to detect the availability of LPG contents, which can be monitored remotely so that users will feel safe because they are not close to gas cylinders. The condition of gas cylinder availability can be remotely monitored using the internet of things (IoT) method. Therefore, an IoT-based LPG pressure monitoring tool was designed. A tool designed using the MPX-5700AP sensor is useful for detecting gas pressure values in LPG cylinders. IoT is used to monitor LPG pressure using the Blynk application. The buzzer module is a tool for sending sound signals as information on the condition of gas cylinders. The NodeMCU ESP8266 microcontroller processes and sends data to the Blynk application. System testing is carried out in three conditions: full, close to empty, and empty. The results of this test showed an error value of 3.41% and an accuracy rate of 96.59%
Fatigue and drowsiness detection using a support vector machine for traffic accident reduction
No full textFatigue and drowsiness are major contributors to road safety issues, causing slower reactions, poor decision-making, and increased accidents. Support vector machine (SVM) can improve road safety by analyzing complex data sets and patterns related to driver behavior. When using features extracted from electrooculography signals to determine driver fatigue, SVM demonstrated high classification accuracy. This shows that it could be a useful tool in real-time fatigue detection systems. SVM's successful application in traffic accident reduction demonstrates its potential for improving road safety through predictive modeling and early warning systems. Integrating SVM algorithms into traffic accident prediction models enables the analysis of a wide range of factors, including road conditions, driver behavior, and vehicle characteristics, in order to identify potential risk factors and take proactive measures to avoid accidents. Studies have shown that SVM-based systems can predict accidents with high accuracy, resulting in timely interventions and, ultimately, fewer road fatalities and injuries. In conclusion, using SVM to detect driver fatigue and drowsiness is critical for increasing road safety. Future research should focus on improving the system's accuracy and real-time capabilities, incorporating advanced machine learning algorithms, and developing adaptive SVM models that constantly learn and update their parameters based on real-time data
A review of the state of art and prospects in energy storage systems for energy harvesting applications
No full textDue to the increasing trend in worldwide energy consumption, many new energy technology systems have emerged in the past decades. The implementation of energy storage system (ESS) technology in energy harvesting systems is significant to achieve flexibility and reliability in fulfilling the load demands. In this paper, several types of energy storage technologies available in the market are discussed to view their benefits and drawbacks. The main aim of this review is to provide a platform for readers especially those who seek to know more about ESS at a glance, to decide which ESS technology is best suited for any specific applications. This review would serve as a base for the initial state to make the right decision by referring to the criterias and characteristics of energy resources to get the optimal ESS technology. A comprehensive comparison among the various types of ESS technologies is outlined and elaborated to provide a better and clearer picture to the readers. Last but not least, the relevant recommendations and alternative choices for services related to the harvesting of solar PV energy are described too. It is hoped that the findings of this review article may be helpful to all readers interested in ESS technology
Review of recent advances in non-invasive hemoglobin estimation
No full textHemoglobin is essential for diagnosing conditions like anemia and respiratory issues. Traditionally, the assessment of hemoglobin necessitates invasive techniques that involve blood draws, which can induce discomfort and present possible complications for patients. Recent advancements in non-invasive technologies have light-emitting diode (LED) to the development of smartphone applications and machine learning algorithms that allow real-time hemoglobin level estimation, eliminating the need for blood sampling. This not only improves patient comfort but also enhances access to ongoing health monitoring. This review aims to delve into the newest developments in smartphone-oriented strategies for hemoglobin estimation, highlighting their importance within contemporary healthcare practices and the potential implications they might have for more expansive clinical applications. Technological advancements have combined smartphones and artificial intelligence (AI) for non-invasive hemoglobin estimation, offering a promising alternative to traditional methods. These solutions optimize data collection and analysis processes, enhance diagnoses' accuracy, and facilitate timely medical interventions. Advancements in technology have revolutionized medical diagnostics, particularly in estimating hemoglobin levels non-invasively. AI methodologies have demonstrated significant results in accurately forecasting hemoglobin concentrations through a variety of analytical strategies. Future research should focus on the best configurations for these networks and the physiological concepts underpinning spectral data interpretations
Fingerprint based smart door lock system using Arduino and smartphone application
No full textIn 2023, crime cases in Indonesia will reach 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds
Energy resilience in disaster-prone regions: the role of portable and modular solar power systems
No full textEnergy resilience is a critical requirement in disaster-prone regions, where electrical infrastructure is highly vulnerable to natural hazards and prolonged power outages. Portable and modular solar power systems have emerged as promising solutions for enhancing resilience by enabling decentralized, rapidly deployable, and grid-independent energy supply. This paper presents a comprehensive review of the role of portable and modular photovoltaic-based power systems in improving energy resilience from a power electronics perspective. The review synthesizes recent literature on resilience concepts, system architectures, and converter-based control strategies relevant to emergency energy applications. Particular emphasis is placed on DC-first and hybrid AC/DC architectures, modular converter topologies, battery management systems, and energy management strategies that support reliable and fault-tolerant operation under variable and uncertain conditions. Practical deployment and performance considerations, including scalability, robustness, monitoring, and usability in disaster environments, are also discussed. The findings indicate that well-designed portable and modular solar power systems can significantly reduce recovery time, improve operational continuity, and decrease reliance on centralized grids and fuel-based generators. This review identifies key technical challenges and research opportunities to guide future development of resilient power electronic-based energy systems for disaster response and recovery
Smart irrigation system using node microcontroller unit ESP8266 and Ubidots cloud platform
No full textThe agricultural irrigation system is extremely important. For optimal harvest yields, farmers must manage rice plant quality by monitoring water, soil, and temperature on agricultural fields. If market demand rises, traditional rice field irrigation in Indonesia will make things harder for farmers. This modern era requires a system that lets farmers monitor and regulate agricultural fields anywhere, anytime. We need a solution that can control the irrigation system remotely using an internet of things (IoT) device and a smartphone. This study employed the Ubidots IoT cloud platform. In addition, the study uses soil moisture and temperature sensors to monitor conditions in agricultural regions, while pumps function as irrigation systems. The test results indicate the proper design of the system. Each trial collected data. The pump will turn on and off automatically based on soil moisture criteria, with the pump active while the soil moisture is less than 20% and deactivated when the soil moisture exceeds 20%. In simulation mode, the pump operates for an average of 0–5 seconds of watering. The monitoring system shows the current soil temperature and moisture levels. Temperature sensors respond in 1-3 seconds, whereas soil moisture sensors respond in 0–4 seconds
A laboratory scale IoT-based measuring of the solar photovoltaic parameters
No full textHarvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature
Parameterized Kick Engine for R-SCUAD Robot
No full textHumanoid Robot Soccer is an implementation of technology in robotics area that has the ability to mimic human activity to play football. Kicking is one of many abilities that the robot must have to play football nicely. The ability to kick in a various kind of kick also needed to enhance it’s performance in the match.This research was conducted on a 20 degree of freedom humanoid robot soccer named R-SCUAD. The robot was equipped with 20 Dynamixel servo motors as the actuator, an arbotix-pro as a sub-controller and an Odroid XU4 as the main controller. The method developed in this research was based on Darwin-op framework with an enhancement especially on the kick engine. Experiment results showed that there was a corellations between the distance that the ball travelled due to a kick with leg the swing speed of the kick, it can be inferred that a greater swing speed value will yields a greater distance of ball travel. With the leg swing speed of 50 rpm generate average distance 36.58 cm while with a speed of 300 rpm generate an average distance of 329.62 cm. Result also showed that the balancing system developed based on kick angle computation was able to maintain the robot stability up to 25 ° of kick angle
