Browsing by Author "Huang, Guan-Ming"

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Face Recognition Based on Sparse Representation Applied to Mobile Device
(2014)
Chou, Kuan-Yu
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Huang, Guan-Ming
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Tseng, Hao-Chien
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Chen, Yon-Ping
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電控工程研究所
This paper develops an Android face recognition application for users on mobile device, and applies it in the face verification system of Samsung Galaxy SII smart phone. The developed face recognition application includes three parts, the face detection using the Viola-Jones face detection program, the feature extraction implemented by the eigenface features, and the face recognition based on the sparse representation of L2 norm minimization. Different to general learning methods, the developed application does not require a tremendous amount of time in data training and can achieve a high recognition rate even higher than 99%, for examples 99.2% for the Sheffield face database, 99.4% for the Cohn-Kanade face database and 96.5% for ORL face database. Finally, the face verification application proposed for the Samsung Galaxy SII smart phone indeed successfully verifies a face just in one second which makes it a real-time application.
Observing topotactic phase transformation and resistive switching behaviors in low power SrCoOx memristor
(2020-06-01)
Lo, Hung-Yang
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Yang, Chih-Yu
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Huang, Guan-Ming
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Huang, Chih-Yang
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Chen, Jui-Yuan
Recently, complex oxides have been shown to be promising candidate in dielectric materials of resistive random access memory (RRAM). However, the detailed switching information of complex oxide RRAM is still insufficient, and direct observation of the whole switching process is required to figure out the mechanism. In this study, we deposited SrCoOx (SCO) on a niobium-doped SrTiO3 substrate as the dielectric layer via pulsed laser deposition (PLD). The novel SCO device possesses excellent RRAM properties, high cycling endurance, a long data retention time, and uniform distributions of the high resistance state (HRS) and low resistance state (LRS) resistance and Set/Reset voltage. Furthermore, the switching mechanism was investigated by using transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM), which showed that the switching behavior resulted from the topotactic phase transformation. In addition, the whole switching process was observed through in situ TEM, and the results strengthened the findings of the ex situ experiment. The discussion of this switching behavior provides support for a novel aspect of the RRAM switching mechanism and also a new option for the dielectric material in RRAM.
On Reliability Hardening in Cyber-Physical Digital-Microfluidic Biochips
(2017-01-01)
Lu, Guan-Ruei
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Huang, Guan-Ming
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Banerjee, Ansuman
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Bhattacharya, Bhargab B.
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Ho, Tsung-Yi
In the area of biomedical engineering, digital-microfluidic biochips (DMFBs) have received considerable attention, because of their capability of providing an efficient and reliable platform for conducting point-of-care clinical diagnostics. System reliability, in turn, mandates error-recoverability while implementing biochemical assays on-chip for medical applications. Unfortunately, the technology of DMFBs is not yet fully equipped to handle error-recovery from various microfluidic operations involving droplet motion and reaction. Recently, a number of cyber-physical systems have been proposed to provide real-time checking and error-recovery in assays based on the feedback received from a few on-chip checkpoints. However, in order to synthesize robust feedback systems for different types of DMFBs, certain practical issues need to be considered such as co-optimization of checkpoint placement and layout of droplet-routing pathways. For application-specific DMFBs, we propose here an algorithm that minimizes the number of checkpoints and determines their locations to cover every path in a given droplet-routing solution. Next, for general-purpose DMFBs, where the checkpoints are pre-deployed in specific locations, we present a checkpoint-aware routing algorithm such that every droplet-routing path passes through at least one checkpoint to enable error-recovery and to ensure physical routability of all droplets. Our experiments on assay benchmarks show encouraging results in terms of latest-arrival-time and routability of droplets. The proposed methods thus provide convenient reliability-hardening mechanisms for a wide class of cyber-physical DMFBs.