Browsing by Author "Chan, Yun-Sheng"

Now showing 1 - 4 of 4

0.4V Reconfigurable Near-Threshold TCAM in 28nm High-k Metal-Gate CMOS Process
(2018-01-01)
Chan, Yun-Sheng
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Huang, Po-Tsang
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Wu, Shang-Lin
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Lung, Sheng-Chi
;
Wang, Wei-Chang
This paper presents a near-threshold configurable ternary content addressable memory (TCAM) design for energy-constrained neural network or software-defined network (SDN) applications. A TCAM architecture based on foundry-based 6T SRAM mini-array improves area efficiency and minimizes disturbs to enable operation down to 0.4V, and provides configurable lookup tables for users. To minimize dynamic power consumption, hierarchical precharge structure (HPRE) and don't-care based ripple search-line scheme are utilized for decreasing both the switching activities and wire capacitance. Moreover, power-gating technique, self-timed control and V-trip-tracking write-assist are used to reduce standby power, speed-up propagation delays of global signals and improve write-ability at low voltage, respectively. A reconfigurable TCAM is implemented using UMC 28nm high-k metal gate (HKMG) CMOS process. The design achieves operating frequency of 240MHz (20MHz) with energy consumption of 1.146 (0.621) fJ/bit/search at 0.9V (0.4V).
Joint Capacitive Sensing and Frequency Selection for Fast Medical Tests
(2019-01-01)
Chan, Yun-Sheng
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Lung, Kuan-Yu
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Wang, Yun-Ming
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Lee, Chen-Yi
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生物科技學系
This paper presents a new approach with frequency selection for fast medical tests. Many medical tests need high speed sensor because of its short reaction time. High frequency biosensor with high sensitivity plays a vital role in fast medical tests. Each medical test has its own reaction time. How to select proper frequency for specific medical test is an important issue. In this paper, one frequency-based capacitive sensor is proposed to prove this new approach with salt water. According to the experimental results, the limit of detection (LOD) can be improved if proper working frequency is selected. The 0.1% wt salt water in 20ul can be detected on proposed system and coefficient of variation (CV) is only 0.19% at 40MHz.
Rapid Portable Electrical Biosensing Design With Dielectrophoresis and Its Application for Cardiac Biomarker Detection
(2020-08-01)
Chen, Chun-Chi
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Chan, Yun-Sheng
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Fang, Yu-Hao
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Wang, Yun-Ming
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Lee, Chen-Yi
With the growing number of new biomarkers discovered for clinic diagnosis, there is an emerging need for the development of biosensing device. One important application of the biosensor in disease diagnosis is to detect biomarkers and the biosensor should be sensitive enough to measure the small variation in biomarker concentration. Besides, to support the point-of-care diagnostics that can facilitate emergency diagnosis and disease screening, it is important that the sensing device needs to be portable, user-friendly, and support the rapid biomarker detection. In this work, we propose a rapid portable sensing device by utilizing dielectrophoresis force to accelerate the centralization of the biomarkers and the comparator-based operational amplifier to enlarge small signal response. Furthermore, the testing results demonstrate the proposed biosensor can detect subtle admittance variation corresponding to the concentration change of the biomarkers in short assay time. The sensing device is able to detect cardiac troponins level with the limit of detection at 0.1 ng mL(-1), that can satisfy the actual requirements for diagnosis of cardiovascular disease. The proposed biosensor can provide an easy-to-use, cost-effective, and rapid biomarker detection that can be applied to clinical applications to support point-of-care diagnostics.
Sample Preparation for Multiple-Reactant Bioassays on Micro-Electrode-Dot-Array Biochips
(2019-01-01)
Liang, Tung-Che
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Chan, Yun-Sheng
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Ho, Tsung-Yi
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Chakrabarty, Krishnendu
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Lee, Chen-Yi
Sample preparation, as a key procedure in many biochemical protocols, mixes various samples and/or reagents into solutions that contain the target concentrations. Digital microfluidic biochips (DMFBs) have been adopted as a platform for sample preparation because they provide automatic procedures that require less reactant consumption and reduce human-induced errors. However, traditional DMFBs only utilize the (1:1) mixing model, i.e., only two droplets of the same volume can be mixed at a time, which results in higher completion time and the wastage of valuable reactants. To overcome this limitation, a next-generation micro-electrode-dot-array (MEDA) architecture that provides flexibility of mixing multiple droplets of different volumes in a single operation was proposed. In this paper, we present a generic multiple-reactant sample preparation algorithm that exploits the novel fluidic operations on MEDA biochips. Simulated experiments show that the proposed method outperforms existing methods in terms of saving reactant cost, minimizing the number of operations, and reducing the amount of waste.