Power system fault classification and prediction based on intelligent algorithms is a method that utilizes machine learning and data mining techniques to classify and predict fault conditions in power systems. This me...
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The Android operating system released by Google in 2007 has experienced very significant development. In 2019, the number of Android application users reached 2.5 billion. One of the contributing factors is the nature...
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As an important weight-bearing joint of the human body, the ankle joint is vulnerable to injury during exercise due to its complex structure and high frequency of use. After the initial injury, the ankle joint is more...
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With the rapid development of the Internet, the number of digital music has increased dramatically. It is very difficult for users to dig out the songs they are interested in from the massive digital music information...
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Taking 5G as the starting point, the intelligent coal mine system formed by deep integration with artificial intelligence, big data, intelligent robots and other technologies can improve the safety production capacity...
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In the context of rapidly evolving communication technologies, there is an urgent need for dynamic systems capable of adapting to fluctuating environmental conditions to ensure reliable signal transmission. This artic...
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This paper proposes a novel strategy to address the difficulties encountered in Botswana's open-pit mine dewatering procedures. The conventional approach, which relies on labor-intensive manual labor and mechanica...
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ISBN:
(纸本)9798331529635
This paper proposes a novel strategy to address the difficulties encountered in Botswana's open-pit mine dewatering procedures. The conventional approach, which relies on labor-intensive manual labor and mechanical switching, is expensive, time-consuming, and present significant safety hazards. To overcome these limitations, this project proposes a multi-sensor network system that automates and optimizes the dewatering process and improve operational efficiency. The system integrates real-time sensor data to monitor fuel consumption and water levels in mining pits, enabling precise pump operation control. The system has two sets of sensors for data collection on fuel levels in the reserve and dewatering pump tank. Water level sensors are also used to monitor the water levels in the tank and turn the pump on or off based on predetermined thresholds. After receiving the sensor data, a microcontroller controls the entire process and shows the fuel levels and consumption on an LCD screen. The system's circuitry was designed and simulated using Proteus software, and the LCD successfully displayed measurements obtained from the sensors. When the sump level surpassed the predetermined threshold, a relay was energized to initiate the motor, thereby pumping out the water. Similarly, the tank level sensor (LV800) detected water levels exceeding 80% capacity, sending a signal to the microcontroller, which, in turn, energized the relay to activate the stage motor. The LCD also displayed readings from the temperature and current sensors. Simulation results indicate that the proposed sensor-based approach effectively monitors the condition of the pumps. At the same time, the microcontroller, in conjunction with the sensors, can adequately control the pump's operation during the dewatering process in the mining pit. This research demonstrates the feasibility and effectiveness of employing sensors and a microcontroller in managing and controlling dewatering pumps. By automating the
Due to the limitation of many conditions such as topography and geomorphology, the slope structure is easy to cause geological disasters such as landslides, collapses, and debris flows, and instability and uneven sett...
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The proceedings contain 191 papers. The topics discussed include: text detection based on deep learning;machine learning system for indolence perception;an android app scanner for detecting the freshness and age of po...
ISBN:
(纸本)9798350397208
The proceedings contain 191 papers. The topics discussed include: text detection based on deep learning;machine learning system for indolence perception;an android app scanner for detecting the freshness and age of poultry eggs using image processing;a survey- wheat plant diseases recognition system using deep learning techniques;obstacle detection and safe navigation in unexpected situations of intelligent vehicle;energy-efficient cooperative image transmission in multi-hop wireless multimedia sensor networks;preventing data leakage and traffic optimization in software-defined programmable networks;role of blockchain in manufacturing and logistics supply chain management;understanding the behavior of android SMS malware attacks with real smartphones dataset;blockchain in telecom: challenges and the way forward;impact of blockchain technology on e-commerce;Pyciuti: a python based customizable and flexible cybersecurity utility tool for penetration testing;EICF – an enhanced intelligent cloud-based framework for automated product quality assurance;and black box testing design intended for vehicle surveillance and tracking.
In the era of ubiquitous digital information, question-answering systems have become indispensable tools for accessing and extracting knowledge from vast datasets. This research explores the design, implementation, an...
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