Systematic Irrigation System Deploying Sensor Technology
Diagnostic and Therapeutic Device for Knee Injury
5-DoF Upper Limb Exoskeleton Controlled through Intelligent Semi-Automated Shared Tongue Control
Therapeutic Based Wearable Postural Control System for Low Back Pain
Transforming Organ Transplantation and Medical Education Advancements in 3D Printing Technology
Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
The aim of this paper is to determine an optimized closed-loop control system for automated drilling operations, taking into consideration all the factors that affect the drilling rate of penetration. These factors include drilling parameters such as weight on the bit, rotary speed, flow rate, pressure differential across the hole bottom, true vertical depth, torque, formation parameters such as formation strength, depth, and compaction, bit parameters such as bit type, bit OD, length, diameter, weight, shank length and OD, nozzle size, total flow area, cutter sizes, gauge length, and drilling fluid parameters such as fluid type, rheology model, oil or water volume, salt content, solids gravity, and sand content. To solve this problem, the impact of changes to the drilling rate of penetration by each of these individual parameters is investigated, and measures are put in place to ensure that the penetration rate remains optimal throughout the drilling operation. To automate the process, closed-loop control systems were developed to optimize these individual parameters, eventually reducing physical or mental human interference. Once the drilling process has been effectively automated, an optimum drilling rate of penetration has been achieved, and overall drilling performance has increased.
The field of mobility assistance devices has evolved significantly in recent years, with technology playing a pivotal role in enhancing the lives of individuals with mobility challenges. This paper explores the future of walking aids, focusing on Septor, a smart walking stick that is an innovative assistive device designed to enhance the mobility and safety of individuals with mobility impairments. This advanced walking aid incorporates cutting-edge technologies and features to provide a holistic solution for users, improving their overall quality of life. The Septor operates based on echolocation technology. One of the key features of Septor is its smartphone connectivity. The walking stick can be synchronized with a dedicated mobile application, enabling users to monitor their walking patterns, receive personalized exercise recommendations, and track their progress over time. The app also facilitates communication with healthcare professionals for remote consultations and adjustments. A lot of research is being done to find ways to enhance the lives of visually challenged individuals. Multiple walking sticks and systems aid users in moving around indoor and outdoor locations, but none of them offer object detection and identification alerts. The Septor employs ultrasonic sensors to echo sound waves and detect objects. This paper discusses Septor, a groundbreaking smart walking stick that revolutionizes the mobility aid industry by promoting user safety, independence, and convenience. This innovative device aims to improve the lives of individuals with mobility challenges and provide a valuable tool for healthcare professionals in the rehabilitation process.
This paper presents a novel approach to addressing the current water waste problem in conventional water tanks by implementing an efficient water monitoring and control system using Internet of Things (IoT) technology and Android applications. The existing water storage solutions often lack the ability to monitor and manage water levels, leading to significant water waste. In this research, an ultrasonic sensor is employed for precise water level measurement. The parameters critical to water quality, such as pH, Total Dissolved Solids (TDS), and turbidity, are also monitored and calculated. The microcontrollers process the sensor-derived data and transmit it to the internet through a Wi-Fi module (ESP 8266). Other existing technologies had certain drawbacks in some way, and the removal of these shortcomings and providing an efficient and economical solution has been the main focus of this paper. This paper outlines the development of a smart water tank system that not only reduces water wastage but also ensures water quality, thereby contributing to the sustainable management of water resources.
Everyone is well aware of the wastage of water through tanks, which has always been a concern. In many cities and villages, water wastage has increased as people have not maintained their tanks properly. This paper is designed to monitor and control water levels in tanks, reservoirs, or other storage containers. The proposed system utilizes a combination of sensors, microcontrollers, and actuation mechanisms to provide real-time monitoring and control of water levels. This automated approach offers numerous benefits, including improved water conservation, reduced energy consumption, and enhanced convenience. For smaller tanks, solutions such as ball valves are applicable, which automatically stop the water flow once the tank is full. This is a simple and basic idea for smaller tanks. However, in many large tanks located in buildings, hotels, schools, etc., which require a significant amount of water storage, there is a need to prevent overflow. An electronic solution can be implemented to save water. When the tank is nearing full capacity, it will raise an alarm and stop the water pump. Conversely, it can also help fill the tank when it's empty using an electronic device. The Arduino Uno-based automatic water level indicator and controller is a practical and efficient solution for monitoring and controlling water levels in various applications. This system utilizes ultrasonic sensors to measure water levels by emitting sound waves and calculating the distance based on the echoes they receive after bouncing off obstacles in the water. The Arduino Uno-based automatic water level indicator and controller utilizing ultrasonic sensors is a practical and versatile solution for managing water levels efficiently. It offers accurate measurements, automation, cost-effectiveness, and adaptability for various applications, making it a valuable tool for water level monitoring and control.
The development of control systems that operate independently without human intervention is a rapidly growing field in instrumentation and control engineering. These systems are designed to function autonomously, using artificial intelligence and machine learning techniques to make decisions and perform tasks. Applications of these systems can be found in a variety of fields, including autonomous vehicles, robotics, and industrial automation. The key benefits of these systems are their ability to perform tasks without human intervention, which can lead to increased efficiency and productivity. They also have the ability to operate in environments that may be too dangerous for humans, such as deep-sea exploration or space. Additionally, they are able to collect and process large amounts of data in real-time, which can be used to improve decision-making and control. This includes the use of machine learning and evolutionary algorithms to improve the ability of systems to adapt to changing conditions. This research is also focused on the integration of these systems with communication networks, such as the internet, to enable remote monitoring and control. Overall, the development of control systems that operate independently without human intervention is a rapidly growing field with many potential applications. With advancements in technology and increasing demand for automation, it is expected that autonomous systems will play an increasingly important role in various industries in the future.
