This study explores the potential assessment. of regenerative braking energy in the operation of Electric Multiple Units (EMU) on the Yogyakarta-Palur railway line, a 65.03 km. Prompted by a noticeable increase in pas...
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This research discusses the safety challenges faced by bicycle smart parking systems, which are often irregular and unsafe, especially in Indonesia. The purpose of this research is to develop an RFID-based smart parki...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
This research discusses the safety challenges faced by bicycle smart parking systems, which are often irregular and unsafe, especially in Indonesia. The purpose of this research is to develop an RFID-based smart parking system for electric bicycles that improves user safety and accessibility. The system is designed using components such as the NodeMCU 8266 microcontroller, RFID module, and solenoid lock, and is tested under real-world conditions. Using the
$\mathrm{C}++$
programming language to be embedded in a microcontroller. Quantitative results show that the system achieved an 80% success rate in RFID detection on various materials with optimal performance through acrylic barriers. The system demonstrates better safety compared to traditional bicycle parking solutions, which contributes to increased public confidence in the safety of electric bicycles.
Forest and land fires in Indonesia are a major concern for the government when entering the dry season. The researchers have widely developed early detection technology, including satellite and airborne-based technolo...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Forest and land fires in Indonesia are a major concern for the government when entering the dry season. The researchers have widely developed early detection technology, including satellite and airborne-based technology, but it faces several limitations due to the influence of weather and other unavoidable factors. Furthermore, fire detection technology based on wireless sensor networks (WSNs) and the Internet of Things (loT) is one of the most effective solutions. This study developed a sensor node that includes an Arduino UNO, a smoke sensor, a fire sensor, and temperature and humidity sensors and code program using C++, to detect potential forest fires. We place these nodes at fire-prone points in the forest. Additionally, the gateway node receive data from the sensor node, process it using the NodeMCU ESP8266, and send it to the *** database for real-time report. The developed system's test results demonstrate that it can display and send data in real-time to the *** platform via an internet connection. Additionally, the base station's physical 12C 20x4 LCD screen displays the information. The forest fire early warning system functions well, and the test results show good detection and data transmission capabilities.
With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing ...
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ISBN:
(数字)9798350373332
ISBN:
(纸本)9798350373349
With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing a loss function that conforms to relevant governing equations. Moreover, research is rapidly advancing for the application of PINNs to inverse analysis in areas such as physical property identification. For a PINN to learn governing equations, the weights of the loss functions should be properly determined because they have different roles in components such as boundary conditions, initial conditions, and governing equations. However, weight setting is generally challenging. We propose a loss balancing method considering the procedure for solving partial differential equations. The proposed method is validated through comparisons with conventional solvers.
In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control syst...
In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control system is needed to support the performance of the quadcopter in carrying out the mission that has been given. The designed control system begins with the creation of a system model equation and is implemented in a real quadcopter simulation. The resulting response in terms of the results of the resulting control signal is stable, meets the trajectory as expected, and can produce a real quadcopter simulation taking off vertically and flying stably. Even though there was an unstable response for about 15 to 20 seconds at the beginning of the resulting response, after that the system showed stability. Tracking the resulting trajectory in accordance with the desired trajectory. Real quadcopter simulation results show that the takeoff phase can be carried out vertically and that the resulting trajectory stability can be stable during takeoff and flight. The height of the quadcopter has reached 100%, namely with a height of 1.5 meters as expected, and the average error value obtained at the x position is $2.93\mathrm{e}^{-07}$, the y position is $2.96\mathrm{e}^{-}07$, and the z position is $1.80\mathrm{e}^{-03}$. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed.
The increasing need for energy and fuels (especially fossil fuels) encourages humans and researchers in the world to look for other renewable alternative materials. Levulinic acid which is a chemical that can be obtai...
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Widyaiswara is required to show the best performance to fulfill his duties and obligations. Therefore, it is very important to measure the performance of the Widyaiswara, so that it can be used as evaluation material ...
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Hemoglobin measurement has significantly evolved with the integration of IoT and artificial intelligence (AI) technologies. This paper presents the evolution of non-invasive hemoglobin measurement using IoT and AI-bas...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Hemoglobin measurement has significantly evolved with the integration of IoT and artificial intelligence (AI) technologies. This paper presents the evolution of non-invasive hemoglobin measurement using IoT and AI-based optical sensors. IoT and AI-based optical sensors have revolutionized the field of hemoglobin quantification, allowing us to measure this important biomarker in a way that isn't invasive or difficult to handle. The use of optical sensing technology, along with IoT frameworks and AI methods, has improved the accuracy and usefulness of hemoglobin tests, showing a promising way to improve healthcare outcomes. However, challenges remain in the field of non-invasive hemoglobin measurement, such as precision constraints, data security, and privacy safeguards. Despite these challenges, the future landscape of non-invasive hemoglobin measurement leveraging IoT and AI-powered optical sensors appears poised to transform healthcare delivery significantly. Together, IoT and AI-based optical sensors have the potential to revolutionize healthcare monitoring and diagnosis.
Artificial Intelligence (AI) and electric vehicles EVs are revolutionizing the future of transportation, automation, and connectivity. The integration of AI in EV technology heralds a transformative era in transportat...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Artificial Intelligence (AI) and electric vehicles EVs are revolutionizing the future of transportation, automation, and connectivity. The integration of AI in EV technology heralds a transformative era in transportation, characterized by enhanced efficiency, autonomy, and user experience. However, as AI-powered EVs become increasingly prevalent, critical security and privacy challenges emerge that necessitate comprehensive scrutiny. This paper explores the future aspects of security and privacy in AI-powered EVs, highlighting potential vulnerabilities and the implications of data exploitation. Key areas of focus include the cybersecurity threats posed by interconnected vehicle networks, the safeguarding of personal data from unauthorized access, and the development of robust encryption methods to protect vehicular communication systems. Additionally, the paper examines regulatory frameworks and industry standards essential for ensuring the secure deployment of AI in EVs. By addressing these concerns, the research aims to provide a holistic understanding of the measures required to fortify the security and privacy of AI-driven electric vehicles, ultimately contributing to developing a safe and trustworthy transportation ecosystem.
IT/OT convergence in the form of a Cyber-Physical system (CPS) presents an opportunity to apply recent Information Technology (IT) advancements to Operational Technology (OT). The IT/OT convergence introduces cyber se...
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ISBN:
(数字)9798350395419
ISBN:
(纸本)9798350395426
IT/OT convergence in the form of a Cyber-Physical system (CPS) presents an opportunity to apply recent Information Technology (IT) advancements to Operational Technology (OT). The IT/OT convergence introduces cyber security threats for OT. The OT communication protocols, for example, have limited or no security capabilities for securing data exchange beyond basic authentication. The RNG (Random Number Generator) function is crucial in PLC for producing the encryption keys or the initial seed for security algorithms. The software-based PRNG (Pseudo RNG) is the most common approach for RNG in OT, instead of hardware-based RNG. This study provides a systematic literature review of the most recent evidence in digital transformation to secure data exchange in smart factories, within OT, or across OT and IT settings. It does this by looking at the PRNG on PLC and identifying the most recent trends and best practices. The findings include up-to-date data on author countries' distribution, published journals, research trends, industries, and industry types. The findings also address whether data flow is encrypted or shared in plaintext to ensure secure data transfer between IT and legacy OT environments. This paper concludes that while there is known RNG implementation in the actual embedded system in ICS, there is no evidence in the literature for using RNG in ICS networks for PLC implementation to secure data transfer with encryption.
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