A lot of technologies can be used in home control subnet, but the hardware and software resources available for the home control subnet are limited. There are security problems easily seen. The paper gives the system-...A lot of technologies can be used in home control subnet, but the hardware and software resources available for the home control subnet are limited. There are security problems easily seen. The paper gives the system-atic analysis of the structure and function of home control subnet based on the general model of home net-work. The paper has also analyzed two types of major equipment, namely sub-gateways and terminal equip-ment. The major networking technology used in home control subnet is summarized and concluded. In com-bination with relationship among home control subnet, home network, as well as the outside main network, the paper has systematically studied various safety problems related to home control gateways and the possi-ble solutions to those problems have been made.展开更多
During the last decade the emergence of Internet of Things(IoT)based applications inspired the world by providing state of the art solutions to many common problems.From traffic management systems to urban cities plan...During the last decade the emergence of Internet of Things(IoT)based applications inspired the world by providing state of the art solutions to many common problems.From traffic management systems to urban cities planning and development,IoT based home monitoring systems,and many other smart applications.Regardless of these facilities,most of these IoT based solutions are data driven and results in small accuracy values for smaller datasets.In order to address this problem,this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart cities.This hybrid model consists of;convolution neural network and binary long short term model for the object detection to ensure safety of the homes while IoT based hardware components like;Raspberry Pi,Amazon Web services cloud,and GSM modems for remotely accessing and controlling of the home appliances.An android application is developed and deployed on Amazon Web Services(AWS)cloud for the remote monitoring of home appliances.A GSM device and Message queuing telemetry transport(MQTT)are integrated for communicating with the connected IoT devices to ensure the online and offline communication.For object detection purposes a camera is connected to Raspberry Pi using the proposed hybrid neural network model.The applicability of the proposed model is tested by calculating results for the object at varying distance from the camera and for different intensity levels of the light.Besides many applications the proposed model promises for providing optimum results for the small amount of data and results in high recognition rates of 95.34%compared to the conventional recognition model(k nearest neighbours)recognition rate of 76%.展开更多
Integration of unpredictable renewable power sources into the Grid is leading to the development of wide area control algorithms and smart grid. Smart meters are the first step in the building a smart consumer interfa...Integration of unpredictable renewable power sources into the Grid is leading to the development of wide area control algorithms and smart grid. Smart meters are the first step in the building a smart consumer interface. Much more, however, would be required in building a smart grid than just smart meters. This paper explores the conceptual architecture of smart grid. It highlights the need for additional infrastructure to realize full potential of smart grid. The information presented in this paper is an attempt to uncover what the future in smart grid could be and what infrastructure would be required to tap its potential. As smart grid evolves, more functionality would be built in the constituents. The paper also proposes mathematical basis for some of the controller algorithms.展开更多
Advances in mobile communication bring great effects on people’s life styles. This paper describes the implementation of a remote control scheme, Remote Control System via Bluetooth and SMS (Short Message Service), w...Advances in mobile communication bring great effects on people’s life styles. This paper describes the implementation of a remote control scheme, Remote Control System via Bluetooth and SMS (Short Message Service), which controls smart home in short distance and long distance, respectively. Although SMS is widely used for a variety of applications, it is not suitable for the purpose of remote control because it suffers from transmission delay, loss and lacks of confidentiality. This paper proposes a SMS-based protocol, which is designed with the mechanisms of reliable transmission and information encryption, thus it is capable of the implementation of secure and reliable control.展开更多
针对智能家居场景中各厂家电器红外遥控码不兼容、操作形式单一、遥控器区分和使用易混淆的问题,基于深圳市宏芯达科技有限公司的HXD036S芯片设计了一款支持离线式语音交互的多协议学习型红外遥控器。该遥控器使用Type A USB端口供电,...针对智能家居场景中各厂家电器红外遥控码不兼容、操作形式单一、遥控器区分和使用易混淆的问题,基于深圳市宏芯达科技有限公司的HXD036S芯片设计了一款支持离线式语音交互的多协议学习型红外遥控器。该遥控器使用Type A USB端口供电,待机电流小于5 mA,板载5通道多方向红外发射、1通道远距离红外接收、主控核心、2.4 GHz印制天线、夜灯控制及3 W音频功放等电路单元。遥控器内置了6大类共计60条指令,支持离线式语音交互控制,片上具备BLE单元,可与智能手机上的APP建立控制关系,用户可通过语音交互、APP操作等方式控制家居场景中的各类红外电器。经样机制作与测试,验证了该款遥控器的功能性、稳定性和实用性。展开更多
文摘A lot of technologies can be used in home control subnet, but the hardware and software resources available for the home control subnet are limited. There are security problems easily seen. The paper gives the system-atic analysis of the structure and function of home control subnet based on the general model of home net-work. The paper has also analyzed two types of major equipment, namely sub-gateways and terminal equip-ment. The major networking technology used in home control subnet is summarized and concluded. In com-bination with relationship among home control subnet, home network, as well as the outside main network, the paper has systematically studied various safety problems related to home control gateways and the possi-ble solutions to those problems have been made.
基金supported by Department of Accounting and Information Systems,College of Business and Economics,Qatar University,Doha,Qatar and Department of Computer Science,University of Swabi,KP,Pakistanfunded by Qatar University Internal Grant under Grant No.IRCC-2020-009.
文摘During the last decade the emergence of Internet of Things(IoT)based applications inspired the world by providing state of the art solutions to many common problems.From traffic management systems to urban cities planning and development,IoT based home monitoring systems,and many other smart applications.Regardless of these facilities,most of these IoT based solutions are data driven and results in small accuracy values for smaller datasets.In order to address this problem,this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart cities.This hybrid model consists of;convolution neural network and binary long short term model for the object detection to ensure safety of the homes while IoT based hardware components like;Raspberry Pi,Amazon Web services cloud,and GSM modems for remotely accessing and controlling of the home appliances.An android application is developed and deployed on Amazon Web Services(AWS)cloud for the remote monitoring of home appliances.A GSM device and Message queuing telemetry transport(MQTT)are integrated for communicating with the connected IoT devices to ensure the online and offline communication.For object detection purposes a camera is connected to Raspberry Pi using the proposed hybrid neural network model.The applicability of the proposed model is tested by calculating results for the object at varying distance from the camera and for different intensity levels of the light.Besides many applications the proposed model promises for providing optimum results for the small amount of data and results in high recognition rates of 95.34%compared to the conventional recognition model(k nearest neighbours)recognition rate of 76%.
文摘Integration of unpredictable renewable power sources into the Grid is leading to the development of wide area control algorithms and smart grid. Smart meters are the first step in the building a smart consumer interface. Much more, however, would be required in building a smart grid than just smart meters. This paper explores the conceptual architecture of smart grid. It highlights the need for additional infrastructure to realize full potential of smart grid. The information presented in this paper is an attempt to uncover what the future in smart grid could be and what infrastructure would be required to tap its potential. As smart grid evolves, more functionality would be built in the constituents. The paper also proposes mathematical basis for some of the controller algorithms.
文摘Advances in mobile communication bring great effects on people’s life styles. This paper describes the implementation of a remote control scheme, Remote Control System via Bluetooth and SMS (Short Message Service), which controls smart home in short distance and long distance, respectively. Although SMS is widely used for a variety of applications, it is not suitable for the purpose of remote control because it suffers from transmission delay, loss and lacks of confidentiality. This paper proposes a SMS-based protocol, which is designed with the mechanisms of reliable transmission and information encryption, thus it is capable of the implementation of secure and reliable control.
