Table of Content
The article looks into the current state of the art of dynamic routing protocols with respect to their possibilities to react to changes in the Quality of Service when selecting the best route towards a destination network. New options that could leverage information about the ever changing QoS parameters for data communication are analysed and a Cisco Performance Routing solution is described more in detail. The practical part of this work focuses on a design and implementation of a test bed that provides a scalable laboratory architecture to manipulate QoS parameters of different data communications flowing through it. The test bed is used in various use cases that were used to evaluate Cisco Performance Routing optimization capabilities in different scenarios. After actual tests in different environments, the system can work as designed.
Traditional home appliance control has disadvantages such as cumbersome wiring, difficult maintenance, poor scalability, and high cost. At the same time, there are problems such as aging wiring that threaten the safety of family property. The traditional electric appliance control usually adopts the push switch to control the electric appliance. Generally, the long distance between the electric appliance and the control switch requires complicated wiring, which is inconvenient to control and poor in scalability. Compared with the traditional electrical control scheme, ZigBee wireless communication is adopted between the remote control and the receiving end in this design.
A System for Smart Home Control of Appliances based on Timer and Speech Interaction
Smart home is an emerging industry, and its market was regarded as a sweet and delicious cake from the beginning. Major companies have joined the research and development of smart homes, which has also promoted the rapid and vigorous development of smart homes abroad . Some large multinational companies, such as Intel, Motorola, Cisco, and Panasonic, even when smart homes were just proposed and just started to develop, quickly entered this smart home market battle and created their own R&D units related to smart home appliances.
If the threshold is set too high, the effect of improving system security can be achieved, but it will cause a drop in the correct recognition rate. Therefore, the threshold setting should be determined based on actual measurement. The reason why the log likelihood result is negative is that the probability is a number less than 1. In order to reduce the error, we take the logarithm of the probability to a negative value, and then add it. In this way, it can be judged by the maximum log likelihood that it corresponds to that model, and then, it can be judged whether it is a family member by the threshold of the log likelihood of the model.
A wireless power outlet system for smart homes
The system is highly integrated, and the remote control can be controlled by “one-to-many” and “many-to-one” by programming related programs. This article introduces the software design part of the smart home control system based on speech recognition technology. First, according to the function of the system, the overall design of the system software and the wireless communication method among the client, server, and controller are introduced.
Figure 8 is the summary statistical results of speech recognition accuracy corresponding to the number of different sentences. The construction of the software development environment mainly includes the development environment of the PC terminal and the JZ2440 development board. The PC side is relatively simple; we only need to install QT software editor, keil5 software tool, and Linux operating system. Utilizing the Linux system has the advantages of open source code, easy cutting, convenient transplantation, security, and stability. The development environment of the JZ2440 development board is built with an embedded Linux system.
A ZigBee Based Mesh Network for Home Control System
A human voice command system that is able to activate the electrical appliances at home in wireless environment that depends on the wireless coverage and distance, voice input type and the environment condition is highlighted. ZigBee based wireless home automation system based on ZigBee technology is applied on smart devices having android app, which allow controlling of devices using interactive GUI which can be easily used by any average user. The biggest advantage of the proposed home automation system using wireless sensor module is that it keeps control of power consumption and reduce energy consumption, which helps to add more intelligence into the home environments rapidly and thus improve life quality. The designed system is a promising candidate for home automation applications, remote industrial control areas and remote patient monitoring system, and runs on an embedded board rather than a PC, to make the system size smaller, the power consumption and cost lower. Design and prototype implementation of a basic home automation system based on SMS technology and voice recognition and fault identification system helps the user to ensure that their home appliances had gone exactly ON or OFF.
This paper details the overall design of a wireless home automation system . This is fuelled by the need to provide supporting systems for the elderly and the disabled, especially those who live alone. The automation centre’s on recognition of voice commands and uses low-power RF ZigBee wireless communication modules which are relatively cheap. The home automation system is intended to control all lights and electrical appliances in a home or office using voice commands. Based on the message it received it either turns ON/OFF the devices.
Zigbee Based Home Appliances Controlling Through Spoken Commands Using Handheld Devices
This paper designs the overall scheme of a smart home control system based on voice recognition technology. According to this scheme, the hardware and software of the system are designed, and the wireless communication method combining Wi-Fi and RF of the system is also determined. In order to make the system more humane, two sets of control schemes, voice control and button control, are designed according to the system’s functional requirements. In the voice control solution, the user first reads the control commands set in the voice library on the smart terminal, and then, the system automatically recognizes the commands read by the user. After the recognition is successful, the user can control the home appliances through the command.
Bayrak, “A smart home system based on microcontroller using android application and MySQL database,” Academic Perspective Procedia, vol. M. Marhoon, “Design and implementation of a smart home system with two levels of security based on IoT technology,” Indonesian Journal of Electrical Engineering and Computer Science, vol. This research introduces the middleware technology and cross-platform communication paradigm into classic smart home system to enhance the feasibility, which optimizes the traditional communication protocol and simplifies the deployment procedures. Elderly, handicapped patients, and people with disabilities who have problems with locomotion difficulty can benefit from this smart home to totally operate, with high performance, all appliances and devices from anywhere in the house.
Reliable language recognition technology brings great convenience to life. This design adds a voice recognition module to the system remote control to achieve the effect of voice control of the status of home appliances. Voice recognition technology is widely used, such as GPS navigation, voice-activated smart toys, and automatic vending systems.
The client and the server communicate through the TCP protocol, and the server and the controller communicate wirelessly through the radio frequency protocol. The test results show that family members can correctly control the system and achieve the goal of correct control of home facilities through voice commands combined with family environment information. However, the star-shaped network topology currently adopted by the system is simple and easy to use, but when there are a large number of sensors, the system needs a large number of information collection nodes, which will greatly increase the system cost. At this time, the star structure is not as cost-effective as the tree and mesh structure. Therefore, at this point, the system needs to be improved, depending on the specific situation.
The system has been functionally tested, and the results show that the system can realize the functions of audio collection, family member confirmation, wireless control, voice command recognition, and environmental information collection and control system. How to meet people’s life requirements to a greater extent is the ultimate direction of smart home development. In order to continue to develop in this direction, research on embedded voice control systems for smart homes is necessary. In the context of the research on smart homes, this paper combines voice control, ZigBee technology, and the most popular operating system and, after considering the cost, proposes a set of feasible voice control system solutions. The intelligent terminal recognizes the voice signal as a specific voice command through the process of preprocessing, feature extraction, pattern matching, postprocessing, etc., and sends it to the main control center for analysis. The software structure of the system is based on the C/S (Client/Server) structure; that is, the intelligent terminal is the client, the main control center is the server, and the control node is the controller.
The world software giant Bill Gates spent more than 40 million US dollars to build a modern digital mansion in Washington State, USA, which not only makes countless people envy but also expands their imagination. Smart homes have gradually received more attention from all walks of life and have become a comfortable and modern living environment . However, many professional organizations cannot accurately define what a smart home should be. Many people equate a smart home with the Internet access function of various electrical devices, which is obviously not comprehensive. Some developers even use the concept of smart home to promote that users can fully digitize their lives just through the networking of home appliances . In fact, both modern and future smart homes are far more than these.
GSM, Internet, and speech recognition techniques are successfully merged in a single wireless home automation system that offers a complete, low cost, powerful and user friendly way of real-time monitoring and remote control of a house. Radio frequency is a communication method for wireless communication between the main control center and each control node. As the nRF905 radio frequency module itself does not have networking capabilities, a communication protocol is designed to make the system have networking capabilities. As the server, the main control center is the main part of the smart home control system and the hub that connects smart terminals and control nodes. On the one hand, the main control center is responsible for parsing the instructions sent from the smart terminal, and the instructions can be parsed into control commands or monitoring commands.
Results of the demonstration experiment show that the proposed power outlet module enables easy and flexible control of various home appliances with little infrastructure and helps to add more intelligence into the home environments rapidly. ZigBee based wireless home automation systems have been addressed and the performances of the ZigBee based systems have also been compared with those of other competing technologies based systems. This paper presents the design and development of a smart home system that allows control of home appliances using both Bluetooth and GSM technology, and the use of multiple control mediums gives more robustness to the system. A two-tier architecture of home control system based on ZigBee multi-hop mesh network is presented, and except the gateway, all of the router nodes in the system work on sleep mode at most of the time, which will improve the lifetime of the whole system efficiently. M. Chiu, “A smart home system with security and electrical appliances,” Journal of Information and Optimization Sciences, vol. The different member thresholds shown in Figure 4 are used in the experiment.
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