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Showing posts from September 19, 2017

Here is why Industrial smart sensors are integrated with electronic components

Industrial smart sensors are integrated with electronic components that perform functions such as data conversion, bi-directional communication, and taking decisions in an industrial set up. They are enabled with microprocessors that process all the acquired data and send it to control systems. Microprocessors used in these industrial smart sensors use an IIoT-enabled chipset for faster communication between the sensor devices and the control systems. There have been many developments in these chipsets.

Industrial Internet of Things (IIoT)

For those who are unfamiliar, the implementation of IIoT is one of the key trends in all process and discrete industries. Industrial Internet of Things (IIoT) is a network of devices such as machines, sensors, controllers, big data analytics, and cloud computing components. Such integration would link analytics with the operations of industrial automation, which would ultimately improve the performance of the industry. 
Currently, enterprise control systems such as PLC and SCADA are enabled with IIoT. These control systems need to communicate real-time data and store the data on the cloud after analyzing it. IIoT is a medium through which these control systems can perform the above functions. The inputs for these control systems are given by industrial smart sensors that sense information such as pressure, temperature, and health of workers. As industrial smart sensors are incorporated with microprocessors, they can process real-time data and send the data to control systems, which hel…

One of the major developments in chipsets

For those who are unfamiliar,one of the major developments in chipsets is the integration of sensors and other transduction elements together in one silicon chip; the complete system is called System-on-Chip. Some of the advantages of using SoC enabled industrial smart sensors are cost improvement, reduced costs of bulk cables and connectors, better signal to noise ratio, and system reliability.

Mainframes are high-performance computing systems

For those who are unfamiliar, Mainframes are high-performance computing systems that are primarily implemented in enterprises for processing and reporting of online transactions. For instance, IBM Z Systems mainframe connects multiple computers together to upload or download enterprises data. According to Research and Markets, the market encompasses mainframe solutions and service cloud-based mainframe services, hardware components, and software applications that are used to manage mainframes.

The demand for machine-to-machine (M2M) communications

It is important to recall that, the number of smart connected devices worldwide is increasing at an exponential rate, and it becomes more difficult to manage, monitor, and maintain the data in an organization. Thus, the demand for machine-to-machine (M2M) communications will rise as they help end-users to simplify the management, monitoring, and maintenance of connected devices.

The Internet of Things (IoT) uses many technologies

We live now in a digital-connected data-driven world where the number of connected devices increases and the volume of data explodes. On this dynamic, the IoT uses many technologies such as Wi-Fi, radio-frequency identification (RFID), sensors, barcodes, and global positioning system (GPS) to build intelligent and automated IT solutions.

Deep exciting realities in the Global Application Programming Interface (API) Testing Market

The most exciting is to observe that, Adoption of Agile and DevOps practices for software development and open API strategies by businesses are some of the driving factors of the API testing market. Data policies and regulationsabout API testing is one of the restraining factors that may hamper business critical functions in the API testing market. Many analysts agree that, the growth in the API testing services segment is expected to be driven by the growing significance of partnerships between the software development teams and the Quality Assurance (QA) services or an offshore QA teams. The API testing on-premises deployment model is on an exciting curve of adoption due to businesses refraining from adopting cloud-based platforms to test their APIs, as exposing the public and internal APIs to cloud platform involves high data security risks. According to Research and Markets, in Japan, China, and India, the adoption of API testing solutions has primarily been gaining competitive ad…