Demand control management in microgrids
This paper studies how the communication network between proactive consumers affects the power utilization and fairness in a simplified direct-current microgrid model, […]
Ultra-reliable and low-latency vehicular transmission
Considering a Manhattan mobility model in vehicle-to-vehicle networks, this work studies a power minimization problem subject to second-order statistical constraints on latency […]
Minimizing latency to support VR social interactions over wireless cellular systems via bandwidth allocation
Abstract Immersive social interactions of mobile users are soon to be enabled within a virtual space, by means of virtual reality (VR) […]
Novel technologies for time-domain diffuse optics
Time-Domain Diffuse Optics is undergoing fascinating technology advancements. After a brief review of recent innovations, here we present a miniaturized pulsed source […]
Learning from hierarchical spatiotemporal descriptors for micro-expression recognition
Micro-expression recognition aims to infer genuine emotions that people try to conceal from facial video clips. It is a very challenging task […]
Low loss polypropylene-silicon composites for millimetre wave applications
Polypropylene-silicon composite laminates were fabricated via hot pressing and their dielectric properties up to 35 GHz were studied. The loss tangent was found […]
6Aika: Tulevaisuuden toimijariippumaton dataintegraatioalusta (CityIoT). Vaatimusmäärittely V1.00 FIN
On two-dimensional rangefinding using a ∼1 nJ/∼100 ps laser diode transmitter and a CMOS SPAD matrix
A potentially compact 2-D range profiler for noncooperative targets with a distance range of >10 m is demonstrated. A laser diode utilizing […]
Multimodal Framework for Analyzing the Affect of a Group of People
With the advances in multimedia and the world wide web, users upload millions of images and videos everyone on social networking platforms […]
Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization
Patch-based sparse representation modeling has shown great potential in image compressive sensing (CS) reconstruction. However, this model usually suffers from some limits, […]