Mobile appliances need to work at a low level of power as well as perform at a high level. As energy consumption and execution speed are in a reciprocal relation, using a combination of a multicore processor system and its controlling software is a key to reducing energy. We are developing an on-chip multicore architecture for embedded systems with high performance at low power and cost. We propose a method of reducing the energy consumed for this system during execution by parallelizing and applying Dynamic Voltage Frequency Scaling (DVFS) to each element processor in accordance with its workload. The program's workload at runtime needs to be accurately estimated, and the most appropriate frequency and voltage for each processor running an application is chosen. We propose and evaluate a method for predicting the progress of an application by inserting checkpoints and getting a minimal number of processors for the least energy.
We describe a foveated camera using two cameras, a perspective camera and an omnidirectional camera. The omnidirectional camera is used to build a peripheral view field, which has a wide view angle. The perspective camera is used to build a central view field (fovea), which has high resolution. This camera arrangement makes it easy to compute the direction to the target in the peripheral view field. We propose a method for compensating for the error of estimation of the target direction for this foveated camera.
We have been developing a wireless high-definition television (HDTV) camera called "millimeter-wave mobile camera". In this development, low-compression HDTV transmission with low latency and high link reliability is required, so an application of the multiple-input multiple-output (MIMO) technique and millimeter-wave band for the camera was examined. In this paper, to use the camera in a line-of-sight environment, the outdoor transmission performance of a MIMO multiplexing transmission device equipped with orthogonal polarized omnidirectional antennas was measured. In conclusion, it was confirmed that MIMO channel correlation was reduced to less than 0.45 and the BER performance became better.