Relationship between Embedded and Internet of Things

Internet of Things (IoT) is an important part of the new generation of information technology, and is a fusion of the Internet and embedded systems that have developed to an advanced stage. As an important technical component of the Internet of Things, embedded systems, embedded systems perspective helps to y and comprehensively understand the nature of the Internet of Things.

The Internet of Things is based on microprocessors, general-purpose computers and embedded systems developed to an advanced stage of integration with each other. IoT encompasses multiple disciplines and has an infinite number of application areas. IoT has three sources: the source of wisdom, the source of the network, the source of the Internet of Things. The source of wisdom is the microprocessor, the source of the network is the Internet, the source of the Internet of Things is the embedded system, embedded system was born in the embedded processor, more than 30 years ago. Early experienced the independent development of the field of electronic technology in the era of microcontroller, into the 21st century, before entering the multidisciplinary support of the embedded system era. From the date of birth, the embedded system to the "Internet of Things" for their own responsibility, specific performance: embedded in the physical object, the realization of the physical object of intelligence.

Based on the embedded application system, embedded in the physical object, to the physical object of the complete IOT interface. Linked to the physical parameters is the sensor interface of the forward channel; linked to the physical object is the control interface of the backward channel; to realize the human-object interaction is the human-computer interaction interface; to realize the object-object interaction is the communication interface.

The relationship between big data and cloud computing

Technically, the relationship between big data and cloud computing is as inextricably linked as the positive and negative sides of a coin. Inevitably, big data cannot be processed by a single computer; it must be distributed architecture. It is characterized by distributed data mining of massive data, but it must rely on the distributed processing, distributed database and cloud storage, virtualization technology of cloud computing.

With the advent of the cloud era and the growing interest in big data, the analyst team believes that big data is often used to describe a large amount of unstructured and semi-structured data created by a company. Big data analytics is often associated with cloud computing because real-time analysis of large datasets requires frameworks like MapReduce to distribute work to dozens, hundreds, or even thousands of computers.

Big data requires special techniques to efficiently process large amounts of data over tolerable elapsed time. Technologies applicable to Big Data include massively parallel processing databases, data mining, distributed file systems, distributed data can, cloud computing platforms, the Internet, and scalable storage systems.

Artificial Intelligence

Artificial Intelligence is abbreviated as AI, which is a new technological science that researches and develops the theories, methods, technologies and application systems used to simulate, extend and expand human intelligence. Artificial Intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence.Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems. It is a simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human being and may also exceed human intelligence.

Through the above views we can simply draw a conclusion: the normal operation of the Internet of Things is through the big data transmission of information to the cloud computing platform for processing, and then artificial intelligence to extract the data stored in the cloud computing platform to carry out activities.

Congratulations on reading this article, I believe you have understood the relationship between embedded, Internet of Things, cloud computing, big data, artificial intelligence, also believe that understanding the relationship between them can broaden the ideas and methods of your learning, so that you have a better understanding of the content of your work from the breadth, but also know where to start to pull away from the gap between themselves and others, if you still have more questions about embedded If you have more questions about embedded and IoT, welcome to Darnell Embedded Training Organization for consultation. If you want to expand through the embedded training, you are welcome to come to Dane embedded training courses first trial experience!