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This paper proposes a resilient Time-to-Digital Converter (TDC) that lends itself to cell-based design automation. We adopt a shrinking-based architecture with a number of distinctive techniques. First of all, a specialized on-chip re-calibration scheme is developed so that the real-time transfer function of the TDC in silicon (which maps an input pulse-width to its corresponding output code) can...
Existing studies on the secret key generation based on physical layer wireless fading channel are largely open under active attacks. In this paper, we discuss how the man-in-the- middle (MITM) attacker, who acts as a transparent relay, attacks the training phase in wireless communication to improve the information leaked rate. We prove that the MITM attacker can intercept all of the channel information...
In recent years, with the improvement of sensor technologies, the volumes of remote sensing data are increased dramatically. The feature extraction of hyper spectral remotely sensed images can reduce such high-dimensional datasets, solve the big data problem, avoid the Hughes phenomena and improve the classification performance. Accordingly, this paper presents a framework for feature extraction of...
Failure bitmaps of manufactured memory arrays may contain the information of some systematic defects and have hence been used to monitor the process and to improve the memory yield. It is important to have an accurate flow to classify the memory failure bitmap signatures. The memory bitmap signature classification can be either dictionary based or machine learning based. This paper introduces a hybrid...
Hand gesture recognition aims to recognize the meaningful expressions of hand motion. It is widely used in information visualization, robotics, sign language understanding, medicine and healthcare. Some methods have been proposed for hand gesture recognition. But no single algorithm can handle all kinds of situations, because of the complex environment. In this study, we propose a hybrid method for...
Collecting onsite received signal strength (RSS) is commonly employed in RSS-based positioning systems to achieve more accurate estimations. However, it requires a time-consuming site survey and a great amount of manual efforts. This study proposes a novel approach to reduce the need of massive RSS collection by quantifying the importance of each RSS-measured location. The proposed approach, namely...
This paper presents a framework for ZigBee indoor positioning with an ensemble approach. This approach exploits the complementary advantages of various algorithms, weights the estimation results, and combines them to improve accuracy. This is achieved by dynamically analyzing the diverse patterns of inputs and combining base positioning algorithms with spatial dependent weights. The experiments were...
In this paper, we present an automatic leakage power modeling method for standard cell library as well as SRAM compiler. For this problem, there are two major challenges - (1) the high sensitivity of leakage power to the temperature (e.g., the leakage power of an inverter can be different by 19.28X when temperature rises from 25°C to 100°C in 90nm technology), and (2) the large number of models to...
Recognizing human emotions from facial expressions is highly dependent on the quality of the referred facial expression features. Conventional methods often suffer from high computation time and serious influence of environment variations. In this paper, a triangular facial feature extraction method based on a Modified Active Shape Model (MASM) is proposed. This method features considering the interactions...
To track the state of charge (SOC) of Ni-MH battery pack at the hybrid electric vehicle, an artificial neural network (ANN) is designed. Current, voltage and the previous SOC are used to inputs of ANN, and output is SOC. The result show that, this artificial neural network can track the state of charge (SOC) of the batteries accurately, in the average tracking error less than 5%; the ANN is in low...
Static random access memory is usually used in the ASIC design. The performances of memory always play major role in the overall circuit. In this paper, we propose an efficient extrapolation-based timing modeling method for SRAM complier. We build the timing equation of access and cycle time of SRAM. Our proposed method only needs to simulate a small number of memory configurations with relatively...
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