As represented by the words IoT and M2M, a society with a variety of devices connecting to each other is coming in a near future. In such a society, in addition to the behavior information and content information being collected, huge information of things is gradually integrated. We are is working in order to make new values from the analysis of integrated data, and realize the sophisticated social infrastructure by developing applications for fault detection of wind turbine, data mining in agriculture, smart sensing for agriculture, image data analysis of wireless camera sensor, structural monitoring, and fast demand response.
We can enjoy new experiences and create new values by using various information that exists from cyber world to real world. Standing at the perspective of human-centric, looking hard at design object: from “things” that change the user’s view of world by appealing directly to the sensibility to “stories” that bring the innovative awareness and quality, we are aiming to overcome the valley of technical challenges. Currently, we are working on FlickShare for transferring contents by flick, CoHear for co-location detection of mobile devices using ambient sound, power-saving geofencing for detecting entrance to the target spot with high accuracy and low power consumption, ubiquitous health monitoring with a sustained storage function for the biological information measurement, opinion mining and sentiment analysis on social networks which classifies the emotion of the message by machine learning, and leveraging sensor data to real-world applications with a framework that uses processed data without the aggregation of raw data.
Towards applying ICT to various fields such as city, environment, agriculture and medical care, there are high expectations of IoT/M2M. In order to realize next generation of IoT/M2M networks, we are working toward implementing applications by developing networking, wireless communication, sensor and signal processing technologies. Specifically, we are conducting researches on wireless sensor network platform using concurrent transmission flooding, concurrent transmission in wireless sensor networks, high-precision time-synchronization protocols whose error can be easily estimated, hard real-time operating systems and an energy-efficient multi-core CPU for wireless sensor nodes, high-capacity low-power data collection for mining machineries, and cooperation techniques between M2M area network and Wide Area Network. In addition, we are conducting operations and evaluations of our network in real environment such as bridges and plastic greenhouses.
Wireless communication technology has moved forward to a new phase amid the flow of the times with high expectation for exploitation of big data and realization of M2M (machine-to-machine) communications. Wireless group is widely studying not only the new application areas for wireless communication, but also spectrum management policies. We are currently working on a single channel full-duplex wireless system for doubling spectrum efficiency, a real time wireless system enabling sub-milliseconds round trip time for wireless control networks, a fast and efficient propagation simulator and a low-cost spectrum sensor that measure and estimate the status of the spectrum usage over wide area, a white space LTE system that perform LTE protocol on TV white space, a broadband and energy efficient amplifier for the next generation cellular system, LTE network that efficiently supports M2M devices, wake-up wireless communication system which reduces listening power consumption, and compressed sensing that enables wideband spectrum sensing at low hardware and calculation costs.