The psychology of programming (PoP) is the field of research that deals with the psychological aspects of writing programs (often computer programs). The field has also been called the empirical studies of programming (ESP). It covers research into computer programmers cognition; tools and methods for programming related actives; and programming education.

It is desirable to achieve a programming performance such that creating a program meets its specifications, is on schedule, is adaptable for the future and runs efficiently. Being able to satisfy all these goals at a low cost is a difficult and common problem in software engineering and project management. By understanding the psychological aspects of computer programming, we can better understand how to achieve a higher programming performance, and to assist programmers to produce better software with less error.

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The “Internet of Things” connects devices and vehicles using electronic sensors and the Internet.
The Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more-direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit; when IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, smart homes, intelligent transportation and smart cities. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020.

British entrepreneur Kevin Ashton first coined the term in 1999 while working at Auto-ID Labs (originally called Auto-ID centers – referring to a global network of Radio-frequency identification (RFID) connected objects).
Typically, IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications. The interconnection of these embedded devices (including smart objects), is expected to usher in automation in nearly all fields, while also enabling advanced applications like a Smart Grid, and expanding to the areas such as smart cities.

“Things,” in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric clams in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring[16] or field operation devices that assist firefighters in search and rescue operations. These devices collect useful data with the help of various existing technologies and then autonomously flow the data between other devices. Current market examples include smart thermostat systems and washer/dryers that use Wi-Fi for remote monitoring.