Simple, Accurate, indoor Location (Video) (Demonstration Video) (Overview slide) (Presentation slides) Huaping Liu
Simple, accurate, indoor location (SAiL) technology we have developed resolves one of the major technical challenges of current time-based positioning systems: precise timing synchronization requirements of the observation points. Using WiFi only, SAiL achieves a location accuracy better than 1m, that will enable a number of applications waiting for it: indoor mapping, incentivized shopping, retail analytics, healthcare, inventory management, sports analytics/training, robot guidance, just to name a few. We are collaborating with Intel to develop a commercial solution.
The Internet of Electromechanical Things (Video) (Overview slide) Eduardo Cotilla-Sanchez
In the context of smart grid infrastructure, power system protection devices lie at the intersection of bulk equipment and modern networked sensing and control. Secure and reliable operation of these interdependent systems requires exhaustive theoretical and applied research both on the energy systems and computer science domains. Oregon State University is advancing real-time demand estimation techniques by building a synchrophasor network that renders our campus into a living power systems laboratory.
Wireless Delivery of HD Video in the IoT World (Video) (Overview slide) Ben Lee
FDVSP uses a combination of TCP and UDP for video streaming to improve visual quality and real-time responsiveness of VoD, and peer-to-peer video streaming, and video conferencing. The basic idea is to transmit important parts of a video stream via TCP, and the rest using UDP. In addition, the proportion of video data transmitted using TCP versus UDP is dynamically adjusted depending on the network condition. FDVSP results in less rebuffering instances than TCP, which reduces the occurrence of freeze frames, and less packets drops than UDP, which improves visual quality of video frames.
WIFO: Hybrid WiFi and Free-Space Optic Gigabit Wireless LAN (Video) (Overview slide) Thinh Nguyen
Jointly designed based on the latest LED communication and RF technologies, the WiFO communication system can provide order of magnitude improvement in bandwidth over current WiFi systems.
Green Datacenters for IoT (Video) (Overview slide) Bechir Hamdaoui
Energy consumption in datacenters has recently been a matter of great concern to cloud service providers. For instance, it is estimated that US datacenters consumed about 2% of the 2010 total US energy use. By 2020, it is estimated that there will be 26 Billion IoT units, generating all together massive amounts of data that needs to be stored and managed by datacenters. With the emergence of IoT, datacenters energy consumption is then expected to rise to much higher levels in coming years. Our research focuses on developing new resource management techniques that can limit/reduce the energy use of these next-generation datacenters.
Enhanced Connectivity for Energy Storage and Load Control (Overview slide) Ted Brekken
Advancing renewable power integration, grid stability, and grid efficiency depends on load flexibility. In every home, factory, and commercial building there are many opportunities to regulate power usage and store energy. For example, electric hot water heaters in the Pacific Northwest represent a collective energy storage capability of more than 5,000 MWh. These demand response opportunities can be exploited through increased connectivity and control of hot water heaters, heating and cooling systems, compressors, lighting, refrigeration, and other appliances.
Wave Energy Testing and Grid Integration (Overview slide) Annette von Jouanne
OSU is the headquarters of the Northwest National Marine Renewable Energy Center (NNMREC), a US Department of Energy (USDOE) Center facilitating the integration of marine renewables onto the utility grid. This research includes developing testing solutions including OSU’s unique wave energy linear test bed, wave tanks and Ocean Sentinel instrumentation buoy, in addition to a grid emulator for the ocean testing of full-scale WECs to allow developers to ocean-test their devices on a simulated electric grid.
Secure Data Processing and Control for Smart Grid (Overview slide) Jinsub Kim
The key feature of Smart Grid is automated monitoring, control, and decision making with the help of massive data collection and advanced data processing techniques. However, heavy reliance on data exposes a grid to cyber data attacks which modify part of the data according to the attackers' objective. We investigate potential impacts of data attacks on the grid control and electricity market operations. In addition, we study economic countermeasures and how to make reliable control decisions even when some part of the data are corrupt.
Low-Power Multi-core Processors for IoT Systems (Overview slide) Lizhong Chen
An enabling component to process various data and make intelligent decisions in all IoT systems is the microprocessor, or the “brain” of the systems. With the pervasive use of IoT devices in various applications such as healthcare, home automation, energy systems, transportation and civil infrastructure, we are facing an unprecedented challenge of designing microprocessors that have orders of magnitude higher performance-to-power ratio. At the System Technology and Architecture Research (STAR) Lab here at OSU, one of our main research efforts is to develop next generation processors that utilize the flexibility and power-efficiency of multi-core architectures. We have been developing techniques and schemes that target increased energy proportionality, enhanced security, reduced form factor, and richer set of functionalities for IoT systems.
Performance Analysis of 3D Printed Electric Machines (Overview slide) Julia Zhang
and Yue Zhang
Additive manufacturing has enabled innovations in low-volume production, due to the advantages of faster and cheaper prototyping, reduced lead times, and shorter supply chains. An increasing number of manufacturers has started 3d print high power electric machines for automobile traction and renewable power generators. It becomes crucial to evaluate how the additive manufacturing process affects the electromagnetic and mechanical performance of electric machines, particularly the torque capability, core loss, residual stress and deformation. We employ numerical modeling methods such as finite element analysis to achieve the evaluation and to inspire optimal designs.
Coordination and Incentive Structures in the Internet of Things (Overview slide) Kagan Tumer
The number of large complex systems composed of many interacting subsystems has skyrocketed over the last decade. Coordinating thousands of subsystems in dynamic and stochastic environments, an idea that a mere decade ago would have been outlandish, is not only possible, but imperative today. Today, the technological bottlenecks stem from the lack of mathematics and algorithms to coordinate such systems, rather than difficulties associated with building them. My research focus is on developing the objectives, utilities and incentives that ensure ensure such systems function properly. Applications to date include air traffic management, hybrid power system management, sensor coordination, and multi-robot coordination.