Seunghyun Oh

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This paper presents a 116nW wake-up radio complete with crystal reference, interference compensation, and baseband processing, such that a selectable 31-bit code is required to toggle a wake-up signal. The front-end operates over a broad frequency range, tuned by an off-chip band-select filter and matching network, and is demonstrated in the 402-405MHz MICS(More)
This paper models the periodic characteristics of body sensor network (BSN) wireless channels measured using custom hardware in the 900-MHz and 2.4-GHz bands. The hardware logs received signal strength indication (RSSI) values of both bands simultaneously at a sample rate of 1.3 kS/s. Results from a measurement campaign of BSNs are shown and distilled to(More)
Body sensor networks (BSN) are emerging cyberphysical systems that promise to improve quality of life through improved healthcare, augmented sensing and actuation for the disabled, independent living for the elderly, and reduced healthcare costs. However, the physical nature of BSNs introduces new challenges. The human body is a highly dynamic physical(More)
In 1968, Volker Strassen, a young German mathematician, announced a clever algorithm to reduce the asymptotic complexity of n × n matrix multiplication from the order of n3 to n2.81. It soon became one of the most famous scientific discoveries in the 20th century and provoked numerous studies by other mathematicians to improve upon it. Although a number of(More)
The underwater wireless sensor network (UWSN) is a state-of-the-art approach to exploring potential information and resources in the aquatic environment. However, underwater communication has unique features, such as long propagation delay, low bandwidth capacity, high bit error rates, and mobility, memory, and battery limitations. In this paper, we propose(More)
A 1 trillion node internet of things (IoT) will require sensing platforms that support numerous applications using power harvesting to avoid the cost and scalability challenge of battery replacement in such large numbers. Previous SoCs achieve good integration and even energy harvesting [1][2][3], but they limit supported applications, need higher(More)
We present the design and implementation of a portable and economic device that can estimate wireless body area network (WBAN) channels in the 2.4-2.5 GHz frequency range. The equipment conventionally used for WBAN channel estimation is accurate, but bulky and expensive. Our channel estimator consists of multiple transmitters and a receiver, powered by(More)