Browsing by Author "Li, Shou-Chun"

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Associative Classification for Human Activity Inference on Smart Phones
(2014-01-01)
Peng, Yu-Hsiang
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Njoo, Gunarto Sindoro
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Li, Shou-Chun
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Peng, Wen-Chih
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資訊工程學系
With the population of smart phones, the general trend of human activity inference is prospering under a powerful computation capabilities on modern phones. Such an assistant make users life more convenient and help them prevent from unnecessary interferences. In conventional research, the activity inference problem is considered a classification instance, so in this paper we propose an association-based classifier framework (ACF) that aims at exploring the correlation among collected sensor data. Each data consists of multiple sensor readings with a label, e.g., dining, shopping, working, driving, sporting, and entertaining. Note that ACF caters to the discrete data; as a consequence, the continuous sensor readings are needed to be transformed to some discrete groups. Therefore, we propose an Interval Length-Gini Discretization (LGD) method which considers the groups and misclassified cases to obtain the best hypothesis for a given set of data. After an appropriate discretization, we propose one-cut and memory-iteration-based approach to select a set of useful sensor-value pairs for reducing the model size by removing redundant features and guaranteeing an acceptable accuracy. In the experiments our framework has a good performance on real data set collected from 50 participants in eight months, and a smaller size than the existing classifications.
Lifetime Reliability Trojan based on Exploring Malicious Aging
(2018-01-01)
Tseng, Tien-Hung
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Li, Shou-Chun
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Wu, Kai-Chiang
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資訊工程學系
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Department of Computer Science
Due to escalating complexity of hardware design and manufacturing, integrated circuits (ICs) are designed and fabricated in multiple nations, so are software tools. It makes hardware security become more subject to various kinds of tampering in the supply chain. Hardware Trojan horses (HTHs) can be implanted to facilitate the leakage of confidential information or cause the failure of a system. Reliability Trojan is one of the main categories of HTH attacks because its behavior is progressive and thus hard to be detected, or not considered malicious. In this work, we propose to insert reliability Trojan into a circuit which can finely control the circuit lifetime as specified by attackers (or even designers), based on manipulating BTI-induced aging behavior in a statistical manner, with the consideration of process variations (PVs). Experimental results show that, given a specified lifetime target and under the influence of PVs, the circuit is highly likely to fail within a desired lifetime interval, at the cost of little area overhead.
MAUI: Making Aging Useful, Intentionally
(2018-01-01)
Wu, Kai-Chiang
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Tseng, Tien-Hung
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Li, Shou-Chun
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資訊工程學系
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Department of Computer Science
Device aging, which causes significant loss on circuit performance and lifetime, has been a primary factor in reliability degradation of nanoscale designs. In this paper, we propose to take advantage of aging-induced clock skews (i.e., make them useful for aging tolerance) by manipulating these lime-varying skews to compensate for the performance degradation of logic networks. The goal is to assign achievable/reasonable aging-induced clock skews in a circuit, such that its overall performance degradation due to aging can be minimized, that is, the lifespan can be maximized. On average, 25% aging tolerance can be achieved with insignificant design overhead.