Albany, NY -- (ReleaseWire) -- 04/09/2014 -- Semiconductor wireless sensor networks are used for bridge monitoring, implementing the smart grid, implementing the Internet of things, and monitoring for security implementation. The systems are used to implement energy savings in homes and commercial buildings, almost anything can be monitored with sensors and tracked on a smart phone. Projects are ongoing.
With 9 billion devices connected to the Internet in 2014, phenomenal growth is likely to occur when that number rises to 100 billion by 2020. Businesses control devices with sensors and wireless sensor networks (WSNs).
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The sensors connected to the Internet promise to bring a big data explosion. Much of the data will be discarded, as users get simply overwhelmed by vast volumes. Analytics will become popular inside the wireless sensor networks so that alerts are generated at the point of collection of data.
The issue is how to embed analytics into the wireless sensor network control units so that only the alert data needed is transmitted. Users of information need to be able to find, control, manage, and secure the information coming from sensors onto the network. Users need to analyze and exploit the information coming from sensors.
Advanced technologies for wireless sensor networks are associated with emerging ways of interconnecting devices that have never been connected before. Networking is based on leveraging the feasibility of making sensors work independently in groups to accomplish insight not otherwise available. Advanced storage devices are emerging simultaneously with the energy harvesting devices that are economical, making sensor networks feasible. Storage devices can leverage the power captured by energy harvesting when sensors and devices are interconnected as a network.
Data storage technologies connected to the sensors are permitting far better control of the world around us, implementing vastly improved energy efficiency as lights and hearting are turned on and off just as needed. Wireless sensor networks implement cost-effective systems.
Wireless sensor networks are developing a market presence. They are set to power wireless sensor network proliferation. Independent sensor devices located almost anywhere have attained workable levels of efficiency.
The proliferation of apps on smart phones will drive growth of semiconductor wireless sensor networks markets because the sensors work directly as they are installed without excess labor and wiring that has been necessary previously, making the systems more convenient to install and run.
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Healthy lifestyle choices can increase the length of DNA sequences found at the end of a person's chromosomes and reverse aging. This discovery is likely to increase interest in monitoring and testing DNA sequences and looking at the ends of the chromosomes. This discovery is likely to increase a shift toward wellness initiatives. It has stimulated the need for better communication between clinicians and patients. New sensor technology creates the opportunity for monitoring and testing. Wireless sensor network devices can be used to send alerts to at risk people who are exercising.
Wireless sensor networking is set to grow as sensors are freed from the grid and networks implement connectivity that is mesh architecture based. Converting ambient energy to useable electrical energy harvesting (EH) systems creates the opportunity to implement wireless sensor networks. These networks interconnect an inexpensive and compact group of devices and sensors. The networks use wireless capability to power portable electrical devices.
Linear Technology / Dust Networks
Texas Instruments / National Semi
Integrated Device Technology (IDT)
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Rehabilitation Robots, Active Prostheses, and Exoskeletons: Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020
Rehabilitation robot market size at $43.3 million is expected grow dramatically to reach $1.8 billion by 2020. Market growth is a result of the effectiveness of robotic treatment of muscle difficulty. The usefulness of the rehabilitation robots is increasing. Doing more sophisticated combinations of exercise have become more feasible as the technology evolves. Patients generally practice 1,000 varied movements per session. With the robots, more sessions are possible.
Relearning of lost functions in a patient depends on stimulation of desire to conquer the disability. The independent functioning of patients depends on intensity of treatment, task-specific exercises, active initiation of movements and motivation and feedback. Rehabilitation robots can assist with this task in multiple ways. Creating a gaming aspect to the rehabilitation process has brought a significant improvement in systems.
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Quantum Dot and Quantum Dot Display (QLED): Market Shares, Strategies, and Forecasts, Worldwide, Nanotechnology, 2013 to 2019
The quantum dot cannot be seen with the naked eye, because it is an extremely tiny semiconductor nanocrystal. The nanocrystal is a particle having a particle size of less than 10 nanometers. QDs have great potential as light-emitting materials for next-generation displays with highly saturated colors because of high quantum efficiency, sharp spectral resolution, and easy wavelength tenability. Because QDs convert light to current, QDs have uses in other applications, including solar cells, photo detectors, and image sensors.
QLED displays are anticipated to be more efficient than LCDs and OLEDs. They are cheaper to make. Samsung estimates that they cost less than half of what it costs to make LCDs or OLED panels. QLED quantum dot display is better than OLED. It is brighter, cheaper, and saves more energy. Energy-savings is a strong feature. Its power consumption is 1/5 to 1/10 of the LCD's Samsung offers now. Manufacturing costs of a display are less than half of OLED or LCD. It has a significantly longer life than the OLED.
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