scholarly journals Design and Implementation of Neuro Based Switching System Control for Power Socket

2019 ◽  
Vol 8 (4) ◽  
pp. 7947-7951
Keyword(s):  
Data Visualization ◽  
Low Cost ◽  
Biological Response ◽  
Metal Electrode ◽  
Electrical Signal ◽  
System Control ◽  
Eeg Signal ◽  
Switching System ◽  
Home Appliances ◽  
Home Appliance

Biosensor is an analytical device that used to convert a biological response into an electrical signal. While, electroencephalogram (EEG) is a test that measures and records electrical signal from the brain through a metal electrode. Smart home controller using biosensor is a system that allows a communication of human brain and home appliances, microcontroller or computer. The main objective of this project is to design and implement a neuro based switching system control for power socket using biosensor and IoT data visualization, and to analyze system performance in terms of biosensor and IoT performance. To achieve the objective, EEG signal acquired by using a low cost EEG biosensor that is Neurosky Mindflex device. After that, EEG signal was analyzed and classified through Arduino (IDE) serial monitor. Next, classified signal was used to control a real-time home appliance by sending a command to NODEMCU ESP8266. A communication between Neurosky Mindflex device with microcontroller or computer are designed to turn on and off home appliances. Besides biosensor data visualization, home appliances usage can be observed through IoT platform i.e. ThingSpeak via the internet.

An Intelligent Remote Controller for Household Appliances

2011 ◽  
Vol 65 ◽  
pp. 36-39 ◽  
Author(s):  
Hui Min Liu ◽  
Pu Cheng
Keyword(s):  
Remote Control ◽  
Simple Structure ◽  
High Reliability ◽  
Low Cost ◽  
Internet Communication ◽  
Household Appliances ◽  
Home Appliances ◽  
Intelligent Home ◽  
Home Appliance ◽  
Remote Controller

In order to enable people to places far away from the home appliance control, home appliances to keep abreast of the state. Use of the existing network of public internet communication platform, an intelligent home appliances designed remote control, through the instruction receiving unit, instruction decode unit, instruction output unit and the circuit controller for a variety of household electrical appliances integrate the control concentrated in one, effective solution for remote control of various household appliances unified purpose, a simple structure, reasonable design, easy to use features, proved that the system uses low-cost, high reliability.

scholarly journals A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1109
Author(s):  
Varnakavi. Naresh ◽  
Nohyun Lee
Keyword(s):  
High Surface ◽  
Three Dimensional ◽  
Biological Response ◽  
Volume Ratio ◽  
Recent Decade ◽  
Disease Diagnosis ◽  
Electrical Signal ◽  
Detection Sensitivity ◽  
Wide Range ◽  
Color Tunability

A biosensor is an integrated receptor-transducer device, which can convert a biological response into an electrical signal. The design and development of biosensors have taken a center stage for researchers or scientists in the recent decade owing to the wide range of biosensor applications, such as health care and disease diagnosis, environmental monitoring, water and food quality monitoring, and drug delivery. The main challenges involved in the biosensor progress are (i) the efficient capturing of biorecognition signals and the transformation of these signals into electrochemical, electrical, optical, gravimetric, or acoustic signals (transduction process), (ii) enhancing transducer performance i.e., increasing sensitivity, shorter response time, reproducibility, and low detection limits even to detect individual molecules, and (iii) miniaturization of the biosensing devices using micro-and nano-fabrication technologies. Those challenges can be met through the integration of sensing technology with nanomaterials, which range from zero- to three-dimensional, possessing a high surface-to-volume ratio, good conductivities, shock-bearing abilities, and color tunability. Nanomaterials (NMs) employed in the fabrication and nanobiosensors include nanoparticles (NPs) (high stability and high carrier capacity), nanowires (NWs) and nanorods (NRs) (capable of high detection sensitivity), carbon nanotubes (CNTs) (large surface area, high electrical and thermal conductivity), and quantum dots (QDs) (color tunability). Furthermore, these nanomaterials can themselves act as transduction elements. This review summarizes the evolution of biosensors, the types of biosensors based on their receptors, transducers, and modern approaches employed in biosensors using nanomaterials such as NPs (e.g., noble metal NPs and metal oxide NPs), NWs, NRs, CNTs, QDs, and dendrimers and their recent advancement in biosensing technology with the expansion of nanotechnology.

An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System

2022 ◽  
pp. 842-858
Author(s):  
Segun Aina ◽  
Samuel Dayo Okegbile ◽  
Perfect Makanju ◽  
Adeniran Ishola Oluwaranti
Keyword(s):  
Control System ◽  
Raspberry Pi ◽  
Home Automation ◽  
Correct Classification ◽  
Home Appliances ◽  
Python Language ◽  
Control Precision ◽  
Development Level ◽  
Architectural Framework ◽  
Home Appliance

The need to remotely control home appliances is an important aspect of home automation and is now receiving lot of attentions in the literature. The works so far are still at a development level making further research necessary. This article presents a framework for chatbot-controlled home appliance control system and was implemented by programming a Raspberry Pi using the Python language while the chatbot server was also implemented using a Node.js on JavaScript. The Raspberry Pi was connected to the chatbot server via Wi-Fi using a websockets protocol. The chatbot server is linked to Facebook Messenger using the Messenger Application Protocol Interface. Messages received at the chatbot server are analyzed with RasaNLU to classify the user's intention and extract necessary information which are sent over websocket to the connected Raspberry pi. The system was evaluated using control precision and percentage correct classification with both producing a significant level of acceptance. This work produced a Facebook Messenger chatbot-based framework capable of controlling Home Appliances remotely.

scholarly journals Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming

2019 ◽  
Vol 11 (9) ◽  
pp. 2658 ◽  
Author(s):  
Pilaiwan Phupattanasilp ◽  
Sheau-Ru Tong
Keyword(s):  
Augmented Reality ◽  
Internet Of Things ◽  
Data Visualization ◽  
Low Cost ◽  
Three Dimensional ◽  
Precision Farming ◽  
The Internet ◽  
Environmentally Sustainable ◽  
Crop Monitoring ◽  
Object Interaction

Benefitted by the Internet of Things (IoT), visualization capabilities facilitate the improvement of precision farming, especially in dynamic indoor planting. However, conventional IoT data visualization is usually carried out in offsite and textual environments, i.e., text and number, which do not promote a user’s sensorial perception and interaction. This paper introduces the use of augmented reality (AR) as a support to IoT data visualization, called AR-IoT. The AR-IoT system superimposes IoT data directly onto real-world objects and enhances object interaction. As a case study, this system is applied to crop monitoring. Multi-camera, a non-destructive and low-cost imaging platform of the IoT, is connected to the internet and integrated into the system to measure the three-dimensional (3D) coordinates of objects. The relationships among accuracy, object coordinates, augmented information (e.g., virtual objects), and object interaction are investigated. The proposed system shows a great potential to integrate IoT data with AR resolution, which will effectively contribute to updating precision agricultural techniques in an environmentally sustainable manner.

scholarly journals Mind-Wave Controlled Robot: An Arduino Robot Simulating the Wheelchair for Paralyzed Patients

2018 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Chi Hang Cheng ◽  
Shuai Li ◽  
Seifedine Kadry
Keyword(s):  
Neural Network ◽  
Low Cost ◽  
Eeg Signal ◽  
The Neural Network ◽  
Lead Electrode ◽  
Short Period ◽  
Specific Position ◽  
And Control

This project attempts to implement an Arduino robot to simulate a brainwave-controlled wheelchair for paralyzed patients with an improved controlling method. The robot should be able to move freely in anywhere under the control of the user and it is not required to predefine any map or path. An accurate and natural controlling method is provided, and the user can stop the robot any time immediately to avoid risks or danger. This project is using a low-cost and a brainwave-reading headset which has only a single lead electrode (Neurosky mind wave headset) to collect the EEG signal. BCI will be developed by sending the EEG signal to the Arduino Mega and control the movement of the robot. This project used the eye blinking as the robot controlling method as the eye blinking will cause a significant pulse in the EEG signal. By using the neural network to classify the blinking signal and the noise, the user can send the command to control the robot by blinking twice in a short period of time. The robot will be evaluated by driving in different places to test whether it can follow the expected path, avoid the obstacles, and stop in a specific position.

Novel Flexible NH3 Gas Sensor Prepared by Ink-Jet Printing Technique

2012 ◽  
Vol 506 ◽  
pp. 39-42 ◽  
Author(s):  
C. Wongchoosuk ◽  
P. Jangtawee ◽  
P. Lokavee ◽  
S. Udomrat ◽  
P. Sudkeaw ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Low Cost ◽  
Metal Electrode ◽  
Ink Jet Printing ◽  
Force Microscopy ◽  
Sensing Mechanism ◽  
Atomic Force ◽  
Ink Jet ◽  
Polymer Metal ◽  
Jet Printing

We have fabricated a low-cost and flexible NH3 gas sensor using thermal ink-jet printing. The poly (3,4-ethylene dioxythiophene) doped with polystyrene sulfonated acid (PEDOT/PSS) with thickness of ~ 2 μm was used as a sensing film. The interdigitated electrode using patterned aluminum plate was attached over the sensing film. Atomic force microscopy results show the high homogeneous film and only small roughness is presented on the sensing film. This sensor exhibits high selectivity and sensitivity to NH3 at room temperature. The sensor response works linearly with gas concentrations between 100-1000 ppm. The modulation of conducting polymer/metal electrode interface plays a role in the sensing mechanism of NH3. Changes in the position of interdigitated electrodes can change the dominant sensing mechanism of typical polymer gas sensor.

Multi-Resolution Energy Strategy for Battery Management System of Unmanned Ground Vehicles in Agriculture

2019 ◽  
Author(s):  
Yanan Wang ◽  
Junwei Tian ◽  
Haoyu Niu ◽  
Peng Wang ◽  
Xiaozhong Liao ◽  
...  
Keyword(s):  
Management System ◽  
Low Cost ◽  
System Control ◽  
Battery Management System ◽  
Unmanned Ground Vehicles ◽  
Battery Management ◽  
Energy Strategy ◽  
Ground Vehicles ◽  
Control Loops ◽  
Battery Energy

Abstract This paper has proposed a multi-resolution energy strategy for battery management system (BMS) of unmanned ground vehicles (UGVs) in farming. On the basis of “Smart Farm” definition, battery energy consumption and management have been taken into consideration during the working process and system control. A battery energy controller has been proposed for the low-cost ($1000) UGVs designed by our lab for farming usage. Moreover, three levels of energy control loops have been developed, that is, motor control, path planning, and mission arrangement. In this way, an energy-efficient UGV can prolong its working time and also decrease the cost. The three closed-loop energy strategy of BMS provides not only separate working methods for the three levels, but also a weights way to adjust the influence of three levels on the performance of the UGV in different tasks.

scholarly journals Biosensors—Recent Advances and Future Challenges

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6645 ◽  
Author(s):  
Paolo Bollella ◽  
Evgeny Katz
Keyword(s):  
Biological Response ◽  
Electrical Signal ◽  
Recent Advances ◽  
Future Challenges

Biosensors are analytical devices that are able to convert a biological response into an electrical signal [...]

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