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2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS)最新文献

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Potentiallity of Surface Modified TiO2 Nanoflowers for Alcohol Sensing Application 表面改性TiO2纳米花在酒精传感中的应用潜力
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719089
I. Maity, P. Bhattacharyya
The current paper aims about the study of alcohol sensing performance in surface modified TiO2 nanoflowers based binary hybrid devices, incorporating Pd and rGO as a secondary material for surface modification, separately. Two types of binary hybrid composite were studied. In one, the surface of pristine TiO2 nanoflowers was modified by noble metal catalyst Pd (Pd-TNFs). Whereas, for the other case, the surface of the pristine structure was decorated by 2D material rGO (rGO-TNFs). To authenticate, the structural and morphological properties of the hybrid structure, the following characterizations viz. FESEM, XRD and Raman spectroscopy were performed. Methanol and ethanol were used here as the test VOCs in the concentration range of 10-700 ppm for the hybrid sensor devices. The sensing performance was studied in the temperature range of $27^{circ}mathrm{C}-180^{circ}mathrm{C}$ and the corresponding transient characteristics of the hybrid devices were given at optimum temperature only. It was revealed from the above study that in between ethanol and methanol, the sensing performance in terms of response magnitude was promising towards ethanol compared to methanol, for these hybrid devices. Moreover, the methanol sensing performance was significantly improved in these hybrid structures compared to its pristine TiO2 nanoflowers counterpart due to the surface modification techniques.
本论文的目的是研究表面改性TiO2纳米花二元杂化器件的酒精传感性能,分别将Pd和rGO作为二次材料进行表面改性。研究了两种二元杂化复合材料。其中一种是用贵金属催化剂Pd (Pd- tnfs)修饰原始TiO2纳米花的表面。然而,在另一种情况下,原始结构的表面由二维材料rGO (rGO- tnf)装饰。为了验证混合结构的结构和形态特性,进行了以下表征,即FESEM, XRD和拉曼光谱。混合传感器装置的测试VOCs浓度范围为10-700 ppm,分别为甲醇和乙醇。在27^{circ}mathrm{C} ~ 180^{circ}mathrm{C}$的温度范围内研究了混合器件的传感性能,并给出了混合器件在最佳温度下的瞬态特性。从上述研究中可以看出,在乙醇和甲醇之间,这些混合装置在响应幅度方面对乙醇的传感性能比甲醇更有希望。此外,由于表面修饰技术,与原始的TiO2纳米花相比,这些混合结构的甲醇传感性能得到了显著提高。
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引用次数: 3
Power Consumption Estimation of Biped Robot During Walking 双足机器人行走过程的功耗估算
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719095
T. Maiti, S. Dutta, Y. Ochi, M. Miura-Mattausch, S. Bhattacharya, H. Mattausch
This paper presents a power estimation platform, based on a multi-domain power consumption system including electrical, mechanical, and coupled electro-mechanical powers for the development of power efficient robots. The platform considers the mutual combination of the multi-physics subsystems, which enables to optimize the total robot-power efficiency. We focus on the joint interactions between electrical and mechanical domains (example: electro-mechanical interaction in a servo motor) and the resulting power loss. As an example, the power dissipation of a biped robot for a gait cycle is estimated. Thus platform usability for developing power efficient humanoid robots is demonstrated.
本文提出了一种基于电气、机械和耦合机电功率的多域功耗系统的功率估计平台,用于高效节能机器人的开发。该平台考虑了多物理场子系统的相互组合,从而能够优化机器人的总功率效率。我们专注于电气和机械领域之间的联合相互作用(例如:伺服电机中的机电相互作用)以及由此产生的功率损失。以双足机器人为例,对其一个步态周期的功耗进行了估计。因此,平台的可用性开发节能人形机器人是证明。
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引用次数: 2
Hybrid Integration of Photonic Devices and CMOS Amplifiers 光子器件与CMOS放大器的混合集成
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719252
T. Uruma, T. Tabei, S. Yokoyama, Y. Amemiya, Tadashi Sato, S. Yamada, K. Okada
A new integration technology of optical waveguides and photodiodes using evanescent light is proposed and we have succeeded in amplification of the photodiode signal with the CMOS operational amplifiers in the same Si substrate.
提出了一种利用倏逝光实现光波导与光电二极管集成的新技术,并成功地在同一硅衬底上用CMOS运算放大器放大了光电二极管信号。
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引用次数: 0
Effect of Anti-Reflective Coating for Si Optical Resonator Biosensors 抗反射涂层对硅光谐振生物传感器的影响
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719100
J. Maeda, Riku Funamoto, Y. Amemiya, S. Yokoyama
We fabricated biosensors using silicon resonators for detection of biomaterials. The ripple caused by Fabry-Perot resonance is one of the big problems. In order to suppress this phenomenon, we applied the anti-reflective coating to the biosensor devices and examined its effect.
我们使用硅谐振器制造生物传感器来检测生物材料。由法布里-珀罗共振引起的波纹是一个大问题。为了抑制这种现象,我们将抗反射涂层应用于生物传感器器件,并检测其效果。
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引用次数: 0
A low power driver amplifier for Fully Differential ADC 一种用于全差分ADC的低功耗驱动放大器
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719267
Sagnik Bhar, Annapurna Mondal, S. Srimani, I. Hatai, Subhajit Das, K. Ghosh, H. Rahaman
A driver circuit of an analog-to-digital converter (ADC) is one of the critical parts which influences the transient response, frequency response and the noise floor of the system. To satisfy the accuracy and speed requirements, a modified differential difference amplifier (DDA) Common Mode Feedback (CMFB) circuit is designed along with a folded cascode op-amp with a supply voltage of 1. 8V. The entire system is designed in CADENCE Virtuoso using 180nm technology library. Different parametric and statistical simulations have been performed to test its viability under the influence of mismatches and variations of different process parameters and temperature.
模数转换器(ADC)的驱动电路是影响系统瞬态响应、频率响应和本底噪声的关键部件之一。为了满足精度和速度要求,设计了一种改进的差分放大器(DDA)共模反馈(CMFB)电路和一个电源电压为1的折叠级联运放。8 v。整个系统采用CADENCE Virtuoso设计,采用180nm技术库。通过不同的参数模拟和统计模拟,验证了该方法在不同工艺参数和温度的不匹配和变化影响下的可行性。
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引用次数: 0
Analysis of IGBT Charging/Discharging Mechanism for Accurate Compact Modeling IGBT充/放电机构精确紧凑建模分析
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719093
Y. Miyaoku, M. Miura-Mattausch, A. Tone, H. Mattausch, K. Matsuura, D. Ikoma
The trench-type IGBT has been intensively investigated for very high-voltage applications. Our purpose in this study is to clarify the switching features of the IGBT for developing an accurate compact model, which can predict the switching losses accurately. The main focus is therefore given on the carrier dynamics within the device during switching. It is demonstrated that the ambipolar feature of the bipolar function of IGBT leads to a fast carrier response during the switching. The large amount of the majority-carrier existence realizes this rapid reaction of the carrier dynamics in response to the switching condition.
沟槽型IGBT已被广泛研究用于超高压应用。本研究的目的是阐明IGBT的开关特性,以便建立精确的紧凑模型,准确地预测开关损耗。因此,主要的焦点是在切换过程中器件内的载波动态。结果表明,IGBT双极功能的双极特性导致了开关过程中快速的载流子响应。多数载流子的大量存在实现了载流子动力学对切换条件的快速反应。
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引用次数: 0
Estimation of non-linear effects for Capacitive DAC in SAR ADC: An Analytical Model SAR ADC中电容式DAC非线性效应的估计:一个解析模型
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719248
Ajay Kumar Chowdhary, S. Srimani, Subhajit Das, K. Ghosh, H. Rahaman
The efficiency in terms of accuracy, power consumption, and on-chip area of Successive Approximation Register (SAR) Analog to Digital Converter (ADC) depends on the charge-redistribution Digital to Analog Converter (DAC). Thus, the optimal design of SAR ADC demands accurate design and analysis of the DAC unit. In this work, a MATLAB model of charge-redistribution DAC based on Binary Weighted with attenuation capacitor array has been presented for the design of a SAR ADC. This MATLAB based model performs statistical as well as parametric simulations including the effects of parasitic capacitances and capacitor mismatch which help in the accurate estimation of static and dynamic non-linearity of the DAC unit.
逐次逼近寄存器(SAR)模数转换器(ADC)在精度、功耗和片上面积方面的效率取决于电荷再分配的数模转换器(DAC)。因此,SAR ADC的优化设计要求对DAC单元进行精确的设计和分析。本文提出了一种基于二元加权衰减电容阵列的电荷再分配DAC的MATLAB模型,用于SAR ADC的设计。这个基于MATLAB的模型进行了统计和参数模拟,包括寄生电容和电容失配的影响,有助于准确估计DAC单元的静态和动态非线性。
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引用次数: 1
A 300-mm-wafer silicon photonics technology for advanced information systems 用于先进信息系统的300毫米硅光子学技术
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719254
K. Yamada, G. Cong, M. Okano, Y. Maegami, M. Ohno, Keijiro Suzuki, S. Suda, R. Konoike, K. Ikeda, H. Kawashima, T. Horikawa, S. Namiki, M. Mori, S. Kita, K. Nozaki, A. Shinya, M. Notomi
State-of-the-art 300-mm-wafer-based silicon photonics technology features superior fabrication accuracy, in-wafer uniformity, and reproducibility. Using this technology, various photonic devices, such as a large-scale optical switch matrix with a very low energy consumption, high-efficiency optical modulators, are developed for energy-efficient network systems. Novel functional photonic circuits, such as those for optical path-gate logic processing are now being developed. These photonic devices and circuits will be key elements in the energy-efficient and advanced information systems.
最先进的基于300毫米晶圆的硅光子技术具有卓越的制造精度,晶圆内均匀性和可重复性。利用该技术,可为高能效网络系统开发出各种光子器件,如低能耗的大规模光开关矩阵、高效光调制器等。新型的功能光子电路,如用于光路-门逻辑处理的电路正在被开发。这些光子器件和电路将成为节能和先进信息系统的关键要素。
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引用次数: 0
Structuring Element-counting Approach for Morphological Pattern Spectrum-based Image Manipulation Detection 基于形态模式光谱的图像处理检测的结构元素计数方法
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719260
Kyosuke Kageyama, T. Kumaki, T. Koide
The use of digital images has become quite widespread in legal, medical, and private contexts. However, anyone can easily edit or manipulate any digital image on a computer. Thus, an effective method for detecting digital image manipulation is required for retaining authenticity. Image-manipulation detection is applied in investigations of crimes and photographic evidence. In this paper, we describe a technique for detecting a manipulated image by morphological pattern spectrum. Before we have researched morphological pattern spectrum detected manipulation. We propose the new technique which counts a number of the same scale as the structuring element scale by morphological pattern spectrum in an image. So it can judge a manipulated image in detail because the new technique can detect the number of a manipulated scale. Thus, even if the previous technique judge a large different in the pattern spectrum between the original image and the manipulated image, the new technique can judge to be actually small manipulation.
数字图像的使用在法律、医疗和私人环境中已经变得相当普遍。然而,任何人都可以很容易地在计算机上编辑或操作任何数字图像。因此,需要一种有效的检测数字图像处理的方法来保持真实性。图像处理检测应用于犯罪调查和照片证据调查。在本文中,我们描述了一种形态学模式光谱检测被操纵图像的技术。在此之前,我们研究了形态学模式谱检测操作。我们提出了一种新的方法,即在图像中利用形态模式谱计算与结构元素尺度相同的尺度数。由于该方法可以检测到被操纵尺度的数量,因此可以对被操纵图像进行详细的判断。因此,即使以前的技术判断出原始图像与被操纵图像之间的模式谱差异很大,新技术也可以判断出实际上是小的操纵。
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引用次数: 1
Hardware Efficient Convolution Processing Unit for Deep Neural Networks 深度神经网络硬件高效卷积处理单元
Pub Date : 2019-03-01 DOI: 10.1109/ISDCS.2019.8719278
Anakhi Hazarika, Soumyajit Poddar, H. Rahaman
Convolutional Neural Network (CNN) is a type of deep neural networks that are commonly used for object detection and classification. State-of-the-art hardware for training and inference of CNN architectures require a considerable amount of computation and memory intensive resources. CNN achieves greater accuracy at the cost of high computational complexity and large power consumption. To optimize the memory requirement, processing speed and power, it is crucial to design more efficient accelerator architecture for CNN computation. In this work, an overlap of spatially adjacent data is exploited in order to parallelize the movement of data. A fast, re-configurable hardware accelerator architecture along with optimized kernel design suitable for a variety of CNN models is proposed. Our design achieves 2.1x computational benefits over state-of the-art accelerator architectures.
卷积神经网络(CNN)是一种深度神经网络,通常用于对象检测和分类。最先进的训练和推理CNN架构的硬件需要大量的计算和内存密集型资源。CNN以高计算复杂度和大功耗为代价实现了更高的精度。为了优化内存需求、处理速度和功耗,设计更高效的CNN计算加速器架构至关重要。在这项工作中,利用空间相邻数据的重叠来并行化数据的移动。提出了一种快速、可重构的硬件加速器体系结构和优化的内核设计,适用于各种CNN模型。我们的设计比最先进的加速器架构实现了2.1倍的计算优势。
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引用次数: 2
期刊
2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS)
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