A Novel User Behavior Prediction Model Based on Automatic Annotated Behavior Recognition in Smart Home Systems

User behavior prediction has become a core element to Internet of Things(IoT)and received promising attention in the related fields.Many existing IoT systems(e.g.smart home systems)have been deployed various sensors and the user’s behavior can be predicted through the sensor data.However,most of the existing sensor-based systems use the annotated behavior data which requires human intervention to achieve the behavior prediction.Therefore,it is a challenge to provide an automatic behavior prediction model based on the original sensor data.To solve the problem,this paper proposed a novel automatic annotated user behavior prediction(AAUBP)model.The proposed AAUBP model combined the Discontinuous Solving Order Sequence Mining(DVSM)behavior recognition model and behavior prediction model based on the Long Short Term Memory(LSTM)network.To evaluate the model,we performed several experiments on a real-world dataset tuning the parameters.The results showed that the AAUBP model can effectively recognize behaviors and had a good performance for behavior prediction.

A Solution-Based Analysis of Attack Vectors on Smart Home Systems

The development and wider adoption of smart home technology also created an increased requirement for safe and secure smart home environments with guaranteed privacy constraints. In this paper, a short survey of privacy and security in the more broad smart-world context is first presented. The main contribution is then to analyze and rank attack vectors or entry points into a smart home system and propose solutions to remedy or diminish the risk of compromised security or privacy. Further, the usability impacts resulting from the proposed solutions are evaluated. The smart home system used for the analysis in this paper is a digital- STROM installation, a home-automation solution that is quickly gaining popularity in central Europe, the findings, however, aim to be as solution independent as possible.

Design of Smart Home System Based on ZigBee Technology and R&D for Application

In this paper, a smart home system based on ZigBee technology is designed. The system includes home network, home server and mobile terminal. The program is highly scalable and cost-effective. This paper developed the home server-side application based on MFC technology and the mobile terminal application. The mobile client can remotely control home devices and query the running state, electric energy information and historical data of home devices. At the same time, the home server-side application can store electric energy information and electricity consumption of home devices. Combined with household distributed photovoltaic generation system, the system can be applied to home energy management system. Through running tests and application, the results show that the system has realized basic functions of smart home and achieved the desired design goals.

Novel plug-configure-play ZigBee-based smart home system

The key purpose of a smart home system is to provide people with a better indoor life experience using the technology of Internet of Things. However,there are some limitations which make the current smart home system impractical,such as high cost,complex installation,poor flexibility and maintainability. In this paper,a novel plug-configure-play ZigB ee-based smart home system is proposed to provide repeatable use and improve flexibility and maintainability with the reductions of cost and complexity,which can be customized and reconfigured without redevelopment. In this system,new sensors can be flexibly added through different interfaces on the ZigB ee nodes and the sensor network layer is transparent to the users. Therefore,by using our method,users can customize and use the smart home system simply by configuring the sensors information via software on the application layer.

The Design of Internet of Things Smart Home System based on S3C2440 and Zigbee

In order to achieve the smart home system for remote management and wireless transmission function in the smart home networking system design, the article will combined with ARM technology and ZigBee wireless network technology based on samsung＇s $3C2440 chip and some related peripheral devices to form into home gateway of the system control platform, and the home control network using the internal ZigBee wireless network technologies. Practice has proved that the system is stable, is worth promoting.

A Smart Home System Design Based on GSM

This paper introduces a mobile phone short message control method in smart home based on GSM (Global System for Mobile communications). AT commands and the system structure is illustrated in detail. The hardware system including STC89C51 and TC35i is presented. The software framework is also analyzed clearly in this paper. In addition, some other potential application areas and its direction of development in future are given at last.

Development of Novel Smart Home System based on ZigBee Technique and Embedded Control System

In this paper, we report the development of novel smart home system based on ZigBee technique and embedded control system. In a lot of ZigBee technology applied in smart home system at the same time, how to view of the existing network terminal equipment, control and management of household field research also in rapid development. Terminal equipment mainly includes joining the network and control commands to send coordinator system combines the environment parameter data acquisition and serial port communication, and other functions. The simulation directly shows the effectiveness of our system visually and numerically.

A Home Automation Control System Based on LabVIEW

The objective of this project is to explore the possibility of using X-10 and LabVIEW to control the device in the house. Based on the serial port communication of LabVIEW, the X-10 module can be programmed by using the X-10 commands. Through the power line, all the devices connected to the socket will be controlled. Without replacing the existing wire, it must be an easy control system for the user who has no experience in electronics or communication engineering. Actually, this is a quite practical X-10 home automation system.

Home control system based on ZigBee wireless sensor networks

A new scheme of the home control system based on ZigBee wireless sensor networks is presented. The design and development of the software and hardware of the proposed system are given. In addition to the basic data acquisition and processing functions, the gateway supports the Bluetooth-based local interface and the general packet radio service （GPRS）-based remote interface. Users on the client service side can use a pocket PC or notebook PC to achieve real-time data acquisition and control instruction implementation, or remotely control the home control system through a mobile phone by sending a short message. The Labview graphical development environment is adopted to create PDA applications running on pocket PCs and monitoring platform established on notebook PCs. Except for the gateway, other nodes in the system work in sleep mode most of the time on the system, and thus it improves the lifetime of the whole system efficiently.

A Hybrid Intrusion Detection System for Smart Home Security Based on Machine Learning and User Behavior

With technology constantly becoming present in people’s lives, smart homes are increasing in popularity. A smart home system controls lighting, temperature, security camera systems, and appliances. These devices and sensors are connected to the internet, and these devices can easily become the target of attacks. To mitigate the risk of using smart home devices, the security and privacy thereof must be artificially smart so they can adapt based on user behavior and environments. The security and privacy systems must accurately analyze all actions and predict future actions to protect the smart home system. We propose a Hybrid Intrusion Detection (HID) system using machine learning algorithms, including random forest, X gboost, decision tree, K -nearest neighbors, and misuse detection technique.

Underwater signal interpretation in home system

In recent years, the application of artificial intelligence technique to underwater acoustic environment obtains great attention. This paper presents the work on developing a Micro-Expert System for underwater target classification. The major contributions include that: 1) A new tri-symbol coding method for symbolic representation of waveforms is proposed, and successfully applied to knowledge-based waveform analysis; 2) The properties, features and deployment conditions of a variety of underwater ECM (electric counter-measure) equipments together with target features are collected and summarized and a combined knowledge representation approach is developed for application in underwater acoustic environment; 3) A suitable Blackboard model inference mechanism is developed to cope with time sequence and uncertainty information and 4) A Micro-Expert System Shell for underwater target classification is developed through integrating the above special techniques. The current system shell is flexible, friendly with user-interface, and easy to be extended. Some experimental results are given to show the effectiveness of this system shell.

The Development of Intelligent Home Remote Monitoring System based on B/S Framework

This paper deeply studies the intelligent Home embedded system based on B/S architecture. Firstly, analysis requirement of Home function based on the existing software development mode, and proposed a system framework of intelligent Home system, and designed the communication scheme of the whole Home system, also gives the system each function module realization. This paper achieve two basic service system based on Intelligent Home through a series of analysis and design： outdoor remote intelligent Home monitoring service and the indoor intelligent management service.

基于NodeMCU和Home Assistant的智能家居控制系统

为了提高家居生活的舒适性和便利性,开发了一套智能家居控制系统。该系统采用节点微控制单元(NodeMCU)作为基础硬件,负责收集传感器数据并操控相关执行器件。同时,该系统利用消息队列遥测传输协议(MQTT)和WiˉFi技术构建数据传输链路。此外,该系统利用开源的Home Assistant系统建立了后台服务端,以实现数据的图形化展示。用户可通过安卓移动设备实时监控家居环境状况,并对智能设备实施控制。该系统经过严格测试,表现稳定,显著提高了家居环境的智能化程度。

Staff characteristics and care in Chinese nursing homes: A systematic literature review

The need for institutional long-term care(LTC)services,including nursing homes(NHs),is increasing in China's Mainland in part due to the aging population and changing family structures.In developing NH staff training programs,a review is needed to synthesize knowledge about staff and resident characteristics,and care provided in NHs.This systematic review aims to describe,in Chinese NHs,(1)NH staff characteristics and the care they provide,(2)resident characteristics and care needs,and (3)the role of family members.The 45 articles included in this review covered both urban and rural areas of China's Mainland.We found that staff in Chinese NHs were older and had lower education levels in comparison with those in western countries.Most direct caregivers in urban areas were migratory workers from rural area.Chinese NHs had few qualification standards for staff preparation for their roles in NHs.Also,functional levels of residents in Chinese NHs were higher compared to NH residents in western countries.In addition,family members played important roles in caring for NH residents.These findings suggest a need for staff development programs that tailor for lower educated NH staff and care needs of residents with widely varying levels in function from independent to bedbound in China's Mainland.The findings also suggest that staff qualification standards require critically policy development to improve the capacity of Chinese NHs to provide competent and safe care.

RFID Systems in Healthcare Settings and Activity of Daily Living in Smart Homes: A Review

Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and the increasing number of older people. Radio Frequency Identification (RFID) technologies have been increasingly adopted in smart homes and used widely for indoor localisation. These technologies have been benefiting to healthcare domain where they improve the quality of services delivering by healthcare providers. This article presents a comprehensive review on RFID systems and healthcare research works in smart homes. We also compare RFID-based solutions in healthcare and distinguish challenges of smart home technologies in indoor environment. We also discuss research challenges related to Activity in Daily Living (ADL) in smart homes for wellbeing.

Prevalence of frailty among nursing home residents in China:a systematic review and meta-analysis

Background:The prevalence of frailty among nursing home residents is high.However,in China,prevalence of frailty keeps unknown in this population.The purpose of this meta-analysis is to assess the prevalence of frailty and prefrailty and find out the factors related to the prevalence of frailty among nursing home residents in China.Methods:We searched both English(PubMed,Cochrane Library,Embase,Web of Science and Scopus)and Chinese(CNKI,WanFang,SinoMed,and VIP)databases from their inception date until 15 September 2020.Two reviewers independently screened literature,extracted data,and evaluated the risk of bias included studies.Stata12.0 software was used to conduct meta-analysis.Results:A total of 16 studies were included in this review,involving 7,777 nursing home residents.The prevalence of frailty ranged from 29.2% to 66.6% in the included studies.The pooled prevalence of frailty and prefrailty were 49%(95%CI:43-55%)and 42%(95%CI:34–50%),respectively.The assessment tool(P<0.001),gender(P<0.001),self-rated health(P<0.001)and type of institution(P<0.001)were significantly associated with the prevalence of frailty among nursing home residents in China.Conclusions:The prevalence of frailty among nursing home residents in China was relatively high.Considering the adverse health outcomes of frailty,nursing home administrators should screen frailty regularly,identify the risk factors of frailty,take actions accordingly and improve the frailty status for older adults.

The research of the community-home elderly long-term care service system

With the rapid development of the aging of the population, the demand of long-term care services in the elderly is growing. Because of family miniaturization, core, and currently limited social accumulation are difficult to meet the demand of the elderly in long-term care.Community provides the elderly long-term care services, and provides the elderly all kinds of household helping services. They just make up for the inadequacy of the family and society.And how to make the community elderly long-term care services become more suitable for the needs of the elderly at home, provide better service for the elderly, are our current problems to be solved.

Efficient and Secure IoT Based Smart Home Automation Using Multi-Model Learning and Blockchain Technology

The concept of smart houses has grown in prominence in recent years.Major challenges linked to smart homes are identification theft,data safety,automated decision-making for IoT-based devices,and the security of the device itself.Current home automation systems try to address these issues but there is still an urgent need for a dependable and secure smart home solution that includes automatic decision-making systems and methodical features.This paper proposes a smart home system based on ensemble learning of random forest(RF)and convolutional neural networks(CNN)for programmed decision-making tasks,such as categorizing gadgets as“OFF”or“ON”based on their normal routine in homes.We have integrated emerging blockchain technology to provide secure,decentralized,and trustworthy authentication and recognition of IoT devices.Our system consists of a 5V relay circuit,various sensors,and a Raspberry Pi server and database for managing devices.We have also developed an Android app that communicates with the server interface through an HTTP web interface and an Apache server.The feasibility and efficacy of the proposed smart home automation system have been evaluated in both laboratory and real-time settings.It is essential to use inexpensive,scalable,and readily available components and technologies in smart home automation systems.Additionally,we must incorporate a comprehensive security and privacy-centric design that emphasizes risk assessments,such as cyberattacks,hardware security,and other cyber threats.The trial results support the proposed system and demonstrate its potential for use in everyday life.

Home Energy Management System Using NILM and Low-Cost HAN

Home energy management systems （HEMs） are used to provide comfortable life for consumers as well as to save energy. An essential component of HEMs is a home area network （HAN） that is used to remotely control the electric devices at homes and buildings. Although HAN prices have dropped in ~ecent years but they are still expensive enough to prohibit a mass scale deployments. In this paper, a very low cost alternative to the expensive HANs is presented. We have applied a combination of non-intrusive load monitoring （NILM） and very low cost one-way HAN to develop a HEM. By using NILM and machine learning algorithms we find the status of devices and their energy consumption from a central meter and communicate with devices through the one-way HAN. The evaluations show that the proposed machine learning algorithm for NILM achieves up to 99% accuracy in certain cases. On the other hand our radio frequency （RF）-based one-way HAN achieves a range of 80 feet in all settings.

On the Security of Smart Home Systems:A Survey

Among the plethora of IoT(Internet of Things)applications,the smart home is one of the fastest-growing.However,the rapid development of the smart home has also made smart home systems a target for attackers.Recently,researchers have made many efforts to investigate and enhance the security of smart home systems.Toward a more secure smart home ecosystem,we present a detailed literature review on the security of smart home systems.Specifically,we categorize smart home systems’security issues into the platform,device,and communication issues.After exploring the research and specific issues in each of these security areas,we summarize the root causes of the security flaws in today's smart home systems,which include the heterogeneity of internal components of the systems,vendors'customization,the lack of clear responsibility boundaries and the absence of standard security standards.Finally,to better understand the security of smart home systems and potentially provide better protection for smart home systems,we propose research directions,including automated vulnerability mining,vigorous security checking,and data-driven security analysis.