Table of Content
- A facial-expression monitoring system for improved healthcare in smart cities
- Current state of the market
- Business Intelligence & Reporting
- Special issue: Cognitive Internet of Things assisted by cloud computing and big data
- PERSONALIZE CUSTOMER SERVICE
- Global Smart Home Forecast - June 2020
- Cloud-assisted secure video transmission and sharing framework for smart cities
Among them, and are the initial value and end value of the iteration of the inertia weight coefficient, respectively, is the current iteration times of the algorithm, and is the maximum iteration times set by the algorithm. After the migration is completed, the data stored by itself will be deleted. The buzzer alarm circuit module is driven by S8550 triode, and the working voltage is 3.3 V–5 V. When the temperature and humidity exceed the preset value, the IO port P0.6 of the ZigBee module will output low level, and the buzzer will sound. At the same time, when toxic gas appears in the environment and someone approaches the house, the buzzer will also sound. In this article, DHT11 temperature and humidity sensor is used to collect the temperature and humidity in the house.
As smart home technology adoption grows and more data is produced, companies should experiment with employing analytics along different parts of the technology stack to avoid major bandwidth and storage issues that require expensive investments in IT infrastructure. Korea, used its “Smart City Data Hub” to allow epidemiological investigators request, obtain, and confirm data about coronavirus cases and people they had come into contact with making smart city platforms a key application in containing COVID-19 spread. People are one of the biggest cost drivers in a business, therefore it makes sense to try and make them more efficient. The best way to do this is to improve the technology they use every day and make it faster, more collaborative and more accessible.
A facial-expression monitoring system for improved healthcare in smart cities
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The smart home control management client is developed in Java and runs under an Android system. Therefore, the functional test of this method mainly focuses on Android devices. The running environment table of APP client is shown in Table 4.
Current state of the market
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It is a composite sensor that can collect both temperature and humidity . That is, when the indoor smoke concentration exceeds the threshold, MQ2 module will output low level, and then, the buzzer will give an alarm. If the smoke concentration does not exceed the threshold, the MQ2 module will output high level .
Business Intelligence & Reporting
In today’s society with the continuous development of science and technology and the material life-level unceasing enhancement, people has higher requirement to the household life environment. It can lay a solid foundation for the further development of smart home field. In the future information-based life of mankind, the formation of a smart home environment has become an inevitable trend.
After entering the new era, with the great development of information technology, people’s traditional ideas have also changed greatly, so their understanding of housing is becoming deeper and deeper . The market for smart home data analytics is developing into the most important corollary market to smart home devices. New analytics capabilities are driving the adoption of smart meters, thermostats, fire detection devices, security devices, plugs, lighting, and other devices while delivering added value to homeowners and utilities. Most significantly, increasing device-level data processing is expanding the range of valuable analytics capabilities while lessening the demands on offsite servers. Interoperability and lack of education about the value of these technologies also inhibit market growth.
The World Health Organization expects that between 2015 and 2050 the proportion of the global population over 60 years of age will almost double from 12% to 22%. A consequence of an aging population is that more people will require care and additional skilled healthcare staff to support them, resulting in increased healthcare costs. Smart homes can provide a cost-effective solution to the rising healthcare costs of the increasingly elderly population while allowing individuals the opportunity to live independently at home. The wide range of sensors within a Smart home generates large volumes of data, at a high velocity in a variety of formats. Big Data Analytics can be utilized to analyze the Big Data generated to improve the wellbeing of the elderly residents including identification of anomalies in behavior, such as fall detection, and pre-emptive identification of the onset of medical complications.
WiFi communication module is also one of the wireless communication modules. WiFi is the most widely used wireless communication mode at this stage. With the popularity of mobile phones, tablets, and other devices, using such devices as client devices of the smart home system can easily control home terminal devices. At the same time, the fast transmission speed of WiFi is very suitable for data transmission on multimedia smart home devices such as video. The most basic function of smart home gateway equipment is indoor networking, which enables home terminal equipment to connect to gateway equipment through home intranet.
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Ravishankar Shukla University, Raipur, India, and the M.A.Sc. Degree in electrical and computer engineering from the University of Ottawa, Canada in 2015. He has more than 18 years of industry experience and is currently a Ph.D. student in the department of Electrical and Computer engineering, Lakehead University, Thunder Bay, Ontario, Canada. His research interests include big data analytics, behavioral and predictive analytics, software-defined networks, artificial intelligence, smart environments, and cyber–physical systems.
When its value is close to 0, it means that the fitness values of all particles in the population are close to the same, which indicates that the algorithm converges globally and finds the optimal solution. Therefore, a threshold is set to determine the convergence of the algorithm when the fitness variance of the population is less than the set threshold. To sum up, the termination condition of the HPSO algorithm is that the variance of fitness of all particles in the population is less than the set threshold or reaches the maximum number of iterations set by the algorithm. The controller used in the display screen is ST7920, which supports two driving modes of serial port and parallel port.
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