scholarly journals Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kai-Chao Yao ◽  
Wei-Tzer Huang ◽  
Cheng-Chun Wu ◽  
Teng-Yu Chen
Keyword(s):  
Virtual Instrument ◽  
Smart Home ◽  
Input Data ◽  
Air Conditioners ◽  
Control Interface ◽  
Environment Control ◽  
Control Decision ◽  
Smart Home Environment ◽  
And Control ◽  
Intelligent Model

In this study, the authors aimed to realize a smart home using an AI model that can be integrated with the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) application to realize environment control. The collected input data were outdoor temperature, indoor temperature, humidity, illumination, and indoor person count. The output control decisions included control of air conditioners, dehumidifiers, power curtains, and lights. An artificial neural network was utilized to process the input data for machine learning for the objective of achieving a comfortable environment. In addition, the control decision predictions made by this AI model were analyzed for model loss and model accuracy. This study implemented the model. Specifically, LabVIEW was used to design the sensing component, data display, and control interface, and Python was used to establish the intelligent model. Moreover, by using the web publishing tool built into LabVIEW, remote sensing and control were fulfilled in this implementation.

The Design of Smart Home Monitoring System Based on ZigBee and Voice Recognition Technology

2014 ◽  
Vol 945-949 ◽  
pp. 2693-2697
Author(s):  
Jia Huang ◽  
Ye Chen Yang ◽  
Xiao Dong Zhai ◽  
Chen Yang
Keyword(s):  
Monitoring System ◽  
Home Environment ◽  
Smart Home ◽  
Voice Recognition ◽  
Home Monitoring ◽  
Environment Monitoring ◽  
Zigbee Technology ◽  
Voice Control ◽  
Smart Home Environment ◽  
And Control

This paper has designed a smart-home environment monitoring system. The System is based on ZigBee technology establishing wireless sensor network , using the SCM of CC2530 RF as the solutions to the system of the ZigBee technology, achieving parameter detection of multi-environment, and controlling the receive and dispatch of signals . Meanwhile, the system uses LD3320 voice chip, take the use of (non-specific) voice recognition technology to accept and control signal, realizing voice control for home appliances. And the distribution of the system is flexible and can change any monitoring points and monitor objects. It has good scalability and stability and can be used in various occasions for environmental monitoring.

scholarly journals Robot Assisted Brain Wave Sensor Network in Smart Home Environment For Elderly Persons

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1410-1413
Keyword(s):  
Leisure Activity ◽  
Elderly Persons ◽  
Brain Wave ◽  
Ordinary Mode ◽  
Control Interface ◽  
Smart Home Environment ◽  
To Come ◽  
Wave Sensors ◽  
The Mind ◽  
And Control

Human thoughts consists of of a massive variety of interconnected neurons. The examples of collaboration among those neurons are spoken to as issues and enthusiastic states. As indicated through way of the human contemplations, this example will change which thusly produce particular electric powered waves. A muscle compression will likewise create a one in every of a kind electrical sign. a variety of these electric powered waves will be detected by way of the cerebrum wave sensor and it'll change over the records into parcels and transmit thru Bluetooth medium.Level analyzer unit (LAU) gets the thoughts wave crude records and it's going to listen and device the signal using MATLAB level that's seemed in data getting ready unit. At that factor the manage directions may be transmitted to the robotic it truly is the assistive robotic. With this whole framework, we are able to drift a robotic as consistent with the imparting instructions to the robot and it very well can be have become by means of squint problems and it has an inclination to be grew to become by flicker muscle constriction. Electroencephalography (EEG) is the estimation of electrical motion inside the residing mind. in this assignment we applied a brainwave sensor to dissect the EEG alerts . This plan speak about making geared up and recording the crude EEG signal from the thoughts Wave sensor within the MATLAB situation and through WIFI transmission control recommendations can be exceeded to the robotic section. thoughts wave sensors are not utilized in clinical use, however are applied inside the thoughts Brain Control Interface (BCI). The BCI is a prompt correspondence pathway among the cerebrum and an outside framework to offer direct correspondence and control between the human personality and substantial gadgets through disentangling various instances of cerebrum movement into guidelines step by step . This endeavor works of art fuses of a Processor utilizing cerebrum wave sensor and arranged unit block prominence unit as device parts and a fruitful musings signal system utilizing Matlab organize. directly, the proprietor wants to test whether the automated move or never again. on the off hazard that he's a now not strolling, by then the automated will obviously start. Be that as it can, at the off risk that he's ordinary mode, by then the vehicle will run and there's no notice. while the vehicle got gleaming request it will prevent at any rate the spot. what's more, if the owner wants to move the car he has a need to come ordinary mode. this can keep a key good ways from the improvement sooner or later of up close and personal. The present day system isn't having any faraway control leisure activity. depend upon others to work and No muscle withdrawal identifying and the proposed structure is having the mind wave examination for the sign which can be taken from the human cerebrum as appeared in the rectangular chart, is having controlling of the mechanical utilizing Human thoughts, Self controlled and working office for not to rely on others to work. This endeavor at Matlab, explains that tranquil speakme inside the sentiment of this stage is "discerning effort to express a word, portrayed through unpretentious advancements of inner talk organs without unquestionably voicing it." The way gets markers from the cerebrum to the muscle bunches while the client purposely vocalizes inside. The device later companions such banner with an out of entryways preparing framework. Like talk affirmation structures, it allows the customer to make solicitations to such gadgets, however without reporting anything.

A Temperature and Humidity Control System of Storehouse Environment Based on Virtual Instrument

2013 ◽  
Vol 380-384 ◽  
pp. 631-634
Author(s):  
Jin Hua Liu ◽  
Xin Jie Shao
Keyword(s):  
Control System ◽  
Virtual Instrument ◽  
System Stability ◽  
Humidity Control ◽  
Major Function ◽  
Hardware System ◽  
Temperature And Humidity ◽  
Function Modules ◽  
Environment Control ◽  
And Control

A temperature and humidity control system of storehouse environment is proposed in this paper, and the hardware structure and Software function are designed based on virtual instrument technology. The design of hardware system includes two parts, one is to monitor temperature and humidity, the other is to control them through turning on/off the executive device. The systematic software was divided into two major function modules: monitor and control module and data management module. In order to reduce the influence of interference and ensure the system stability, the anti-interference program is designed in the system software. Testing result shows the control system is feasible and effective for improving the precision of storehouse environment control.

Effect of Slice Priority for admission control in 5G Wireless Networks: A comparison study for two Fuzzy-based systems considering Software-Defined-Networks

2020 ◽  
Vol 26 (3) ◽  
pp. 169-183
Author(s):  
Phudit Ampririt ◽  
Yi Liu ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
Leonard Barolli ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Admission Control ◽  
High Speed ◽  
Additional Parameter ◽  
Fifth Generation ◽  
Efficient Management ◽  
Grade Of Service ◽  
User Request ◽  
Control Decision ◽  
And Control

The Fifth Generation (5G) networks are expected to be flexible to satisfy demands of high-quality services such as high speed, low latencies and enhanced reliability from customers. Also, the rapidly increasing amount of user devices and high user’s requests becomes a problem. Thus, the Software-Defined Network (SDN) will be the key function for efficient management and control. To deal with these problems, we propose a Fuzzy-based SDN approach. This paper presents and compares two Fuzzy-based Systems for Admission Control (FBSAC) in 5G wireless networks: FBSAC1 and FBSAC2. The FBSAC1 considers for admission control decision three parameters: Grade of Service (GS), User Request Delay Time (URDT) and Network Slice Size (NSS). In FBSAC2, we consider as an additional parameter the Slice Priority (SP). So, FBSAC2 has four input parameters. The simulation results show that the FBSAC2 is more complex than FBSAC1, but it has a better performance for admission control.

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Home Environment ◽  
Smart Home ◽  
Electrical Energy ◽  
Smart Home Environment
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