Electrostatic actuators have a significant role in Microelectromechanical systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system becau...
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ISBN:
(纸本)9781665427357
Electrostatic actuators have a significant role in Microelectromechanical systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system because of maximum displacement and large driving force. The limitation in the use of the trapezoidal-shaped electrostatic actuating system is a pull-in phenomenon because of the angular effect and large driving voltage. In this research work, a trapezoidal-shaped comb-drive actuator with curved flexures is designed and analyzed to minimize driving voltage through the low stiffness of curved beams. With a driving voltage of 36.6V, displacement of 25 mu m is achieved in this research work. A comparison of these results with published works is also presented and discussed.
This paper presents the design and implementation of a home automation system that employs the MQTT (Message Queuing Telemetry Transport) protocol, with AWS serving as the MQTT broker. The system is built using a Node...
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ISBN:
(数字)9798350389128
ISBN:
(纸本)9798350389135
This paper presents the design and implementation of a home automation system that employs the MQTT (Message Queuing Telemetry Transport) protocol, with AWS serving as the MQTT broker. The system is built using a NodeMCU microcontroller, interfacing with two analog sensors, one digital sensor, and three different actuators. An analog multiplexer (MUX) is employed to manage multiple analog inputs, while WiFi connectivity ensures seamless communication with the cloud. The user interface (UI) allows real-time monitoring and control of home parameters, including room temperature, lighting conditions, and door access events logged via RFID. This implementation demonstrates an efficient and scalable approach to home automation, leveraging cloud-based MQTT for reliable message delivery and enhanced user interaction.
This study presents FishTankv2, an advanced Internet of Things (IoT) based smart aquarium management system designed for freshwater fish enthusiasts. FishTankv2 integrates a range of sensors to monitor critical water ...
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ISBN:
(数字)9798350352214
ISBN:
(纸本)9798350352221
This study presents FishTankv2, an advanced Internet of Things (IoT) based smart aquarium management system designed for freshwater fish enthusiasts. FishTankv2 integrates a range of sensors to monitor critical water parameters such as ammonia, nitrite, nitrate, dissolved oxygen, pH levels, and temperature. These enhancements provide users with comprehensive insights into their aquarium's health, facilitating proactive maintenance and care. The system features a mobile application that allows users to remotely monitor and control their aquariums, offering functionalities such as real-time parameter tracking, automated feeding, and maintenance reminders. A key innovation in FishTankv2 is the incorporation of predictive analytics, which utilizes machine learning algorithms to forecast potential issues based on historical data. This enables timely interventions to prevent adverse conditions, ensuring a stable and healthy environment for aquatic life. User feedback collected through surveys and usability testing indicates high satisfaction with the system's intuitive interface, comprehensive monitoring capabilities, and predictive alert features. Comparative analysis shows that FishTankv2 outperforms many existing smart aquarium systems in terms of sensor integration, predictive analytics, and overall user experience. The study concludes that FishTankv2 effectively meets its objectives of enhancing aquarium management through advanced technology, making it a valuable tool for both novice and experienced aquarium enthusiasts. Future developments will focus on further refining predictive models, expanding device compatibility, and adding more automation features to maintain its competitive edge.
The proposed system leverages the power of the internet-of-things (loT) and sensor fusion technology to monitor the conditions and status of stored food items, empowering users to make learned decisions and minimize w...
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ISBN:
(数字)9798350379945
ISBN:
(纸本)9798350379952
The proposed system leverages the power of the internet-of-things (loT) and sensor fusion technology to monitor the conditions and status of stored food items, empowering users to make learned decisions and minimize waste. The proposed solution integrates advancedsensors, including gas sensors, weight sensors, and RFID readers, to collect comprehensive data on food inventory levels, expiry dates, and potential spoilage risks. A microcontroller processes this data, analyzing the information and triggering alerts and notifications through a user-friendly SMS interface. Additionally, the system incorporates a ChatGPT API integration, providing personalized recipe suggestions considering the available ingredients, reducing the reliance on additional purchases, and promoting creative meal planning. The project aims to reduce household food waste considerably, lowering the impact on environment and promoting sustainable practices. The SMS-based user interface offers convenience and accessibility, enabling users to receive inventory updates, expiry alerts, spoilage warnings, and recipe suggestions directly on their mobile devices.
The recent high penetration of wind energy conversion system (WECS) -based power generators being integrated into power grids demands advancedcontrol techniques to ensure an efficient power production performance. Th...
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This paper addresses attitude and heading estimation for small UAVs(Unmanned aerial vehicle) using low-cost MEMS(Micro-Electro-Mechanical system) AHRS(Attitude Heading Reference system). It compares Kalman filter and ...
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We propose design and implementation of system that dynamically adjusts value range of HSV using a photo resistor. In autonomous driving, lane detection is operated by fixing the color range of the lane. However, the ...
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ISBN:
(纸本)9791188428090
We propose design and implementation of system that dynamically adjusts value range of HSV using a photo resistor. In autonomous driving, lane detection is operated by fixing the color range of the lane. However, the color range of the lane changes with environment (time variations, Illumination, etc.), so it is necessary to adjust the range. To do this, we create matrix that make correspond to measured illumination and HSV value. And we designed lane detection Including this matrix. Experiment was conducted in two ways: using headlight and not using it. Experimental results showed that lane was detected despite changing illumination levels.
Internet of Things (IoT) networking has attracted research with many emerging applications requiring remote control and automation. Effective deployment of IoT sensors is a major concern since it primarily determines ...
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ISBN:
(纸本)9791188428090
Internet of Things (IoT) networking has attracted research with many emerging applications requiring remote control and automation. Effective deployment of IoT sensors is a major concern since it primarily determines the performance of the IoT network. Since multiple mobile sensors are generally involved, it is possible that the sensors are randomly distributed in a remote region at the initial phase then later relocated to some pre-computed optimal location with their full autonomy enabled. In this paper, we propose a computation for the optimal location of water sprinkler sensors of an IoT smart farm network in terms of the relative physical distance between them. The resulting sensors locations ensure minimal overlap coverage area and no uncovered area exists in the candidate farming region. With the proposed strategic deployment of smart water sprinklers sensors, farmers can be assured of the right water distribution for any given area of their farm.
The goal of this research was to develop an intuitive wearable human-machine interface (HMI), utilizing an optical sensor. The proposed system quantifies wrist pronation and supination using an optical displacement se...
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ISBN:
(纸本)9781728111797
The goal of this research was to develop an intuitive wearable human-machine interface (HMI), utilizing an optical sensor. The proposed system quantifies wrist pronation and supination using an optical displacement sensor. Compared with existing systems, this HMI ensures intuitiveness by relying on direct measurement of forearm position, minimizes involved sensors, and is expected to be long-lasting. To test for feasibility, the developed HMI was implemented to control a prosthetic wrist based on forearm rotation of able-bodied subjects. Performance of optical sensorsystem (OSS) prosthesis control was compared to electromyography (EMG) based direct control, for six able-bodied individuals, using a clothespin relocation task. Results showed that the performance of OSS control was comparable to direct control, therefore validating the feasibility of the OSS HMI.
Modular Automation offers promising technologies for the process and chemical industry. It meets the requirements for greater flexibility and a shorter development cycle for production facilities by dividing the proce...
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ISBN:
(数字)9781665499965
ISBN:
(纸本)9781665499965
Modular Automation offers promising technologies for the process and chemical industry. It meets the requirements for greater flexibility and a shorter development cycle for production facilities by dividing the process into smaller standardized units. Key element of Modular Automation is the Module Type Package (MTP). It represents a standardized and manufacturerindependent description of the automation interface for selfcontained production units, or Process Equipment Assemblies (PEA), and endows the plug-and-produce capability of PEAs. Software solutions to program MTP compatible PEAs are mostly provided by the Programmable Logic controller (PLC) manufacturers. They are proprietary and bound to certain hardware and even programming languages. Therefore, their suitability for implementation of soft sensors based on data-driven advanced analytics is strongly limited. In this article we present an opensource Python package, MTPPy, designed for rapid prototyping of MTP-capable soft sensors with a focus on AI-based research applications. MTPPy is aimed at the accelerated deployment of soft sensors in the modular plants;thus, closing the gap between the data-driven model development and integration into the production.
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