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A prototype of fully flexible intelligent contact lens, which are shown in the impressive action movie series of “MISSION: IMPOSSIBLE”, has become the Possible Mission in this work. Hereon, the system adopts analog-to-information processing method to build a specific Multi-Layer Perceptron network for image classification tasks with flexible devices and circuits, where the information is extracted...
This paper proposed an approximate adder to accelerate computation and reduce energy consumption for error-resilient applications with a moderate output quality losses. The computation acceleration comes from the predictionscheme for the adder circuit, where the critical path is divided into multiple short fragments and a paralleling addition progress is enabled. The energy consumption is reduced...
Physical computing scheme of active resistor network is proposed in this paper to set up a multi-scale Gaussian filter, which is also called Gaussian Pyramid in image signal processing. The analog output signal of each image photodiode could be directly processed by the circuit topology of an active resistor network, which has been pre-designed to meet the requirement of the complicated Gaussian Pyramid...
With the fast development of Internet of Things (IoTs) in recent years, many IoT applications, such as structure health monitoring, surveillance camera and etc, require both extensive computation for burst-mode signal processing as well as ultra low power continuous operations. However, most of conventional IoT processors focus on ultra low power consumption and cannot satisfy those demands. This...
A novel circuit architecture for variable latency adder based on present and transitional states prediction (PTSP) method is presented in this paper, for taking the low power benefits of voltage-over-scaling. With the scaling down of CMOS technology, failure from process variation and high power consumption has become severe problem in VLSI design and the traditional conservative methodology is about...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduced for energy savings. However, in some cases, it is unlikely to be wise to trade computation energy for communication savings. In this paper, a novel node-level compression arbitration mechanism is proposed, which is applied to improve compression...
In the past, dynamic voltage and frequency scaling (DVFS) has been widely used for power and energy optimization in embedded system design. As thermal issues become increasingly prominent, we propose design-time thermal optimization techniques for embedded systems. By carefully planning DVFS at design time, our techniques proactively optimize system thermal profile, prevent run-time thermal emergencies,...
Energy consumption has become one of dominant design concerns in distributed embedded systems. Dynamic voltage scaling (DVS) techniques have been proved to be quite effective in reducing both dynamic and static power consumption simultaneously. Thus, integrating processing elements (PEs) supporting DVS techniques into distributed embedded systems synthesis becomes an imperative way to make an energy-efficient...
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