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2021 International Conference on Microelectronics (ICM)最新文献

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Design and Simulation of Carbon Nanotube Based Current Source Load Differential Amplifier 基于碳纳米管的电流源负载差分放大器的设计与仿真
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664923
Mohd Saqib Akhoon, Abdullah G. Alharbi, Majid A. Bhat, S. A. Suandi, Javed Ashraf, S. Loan
In this paper, we design and simulate a current source load differential amplifier (CSL-DA) employing n-type carbon-nanotube field effect transistors (CNTFET). The proposed DA employs current source load and is based on 45nm technology node CNTFETs. The performance of the proposed CNTFET based DA has been compared with the conventional metal oxide semiconductor FET (MOSFET) based DA. The HSPICE simulation study has shown a substantial improvement in various important performance measuring parameters in the proposed DA in comparison to the conventional DA. The performance enhancement in the proposed device can be attributed to the unique properties of CNTs. It has been observed that the CNTFET based DA has got 2.7 times enhancement in gain, three orders increase in bandwidth, 1180 times increase in unity gain bandwidth and ~70% reduction in power consumption compared to the conventional MOS based counterpart. Further, optimizing various CNT parameters like number of CNTs (N), CNT pitch (S), CNT diameter can optimize the performance of the proposed DA further.
本文采用n型碳纳米管场效应晶体管(CNTFET)设计并仿真了电流源负载差分放大器(CSL-DA)。所提出的数据分析采用电流源负载,并基于45nm技术节点cntfet。并与传统的金属氧化物半导体场效应晶体管(MOSFET)进行了性能比较。HSPICE仿真研究表明,与传统的数据分析相比,所提出的数据分析在各种重要的性能测量参数上有了实质性的改进。所提出的器件的性能增强可归因于CNTs的独特性质。实验结果表明,与传统MOS相比较,基于CNTFET的数据转换器的增益提高了2.7倍,带宽提高了3个数量级,单位增益带宽提高了1180倍,功耗降低了70%。此外,优化碳纳米管数量(N)、碳纳米管间距(S)、碳纳米管直径等各种碳纳米管参数可以进一步优化所提出的数据处理系统的性能。
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引用次数: 4
Fast RTL Implementation of A* Path Planning Algorithm A*路径规划算法的快速RTL实现
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664960
Adham Osama, Ahmed Mostafa, Eslam Mamdouh, Mohamed Gamal, Usama Imam, Mohamed Taha, Ahmed Khalil, Islam Ahmed, H. Mostafa
The conventional A* algorithm consumes a lot of time due to its large number of iterations. In every iteration, the memory is accessed for multiple data structures, functions are evaluated then sorted into queues which makes it sometimes not suitable for real-time applications. This paper proposes a fast implementation for the A* algorithm to meet requirements of real-time applications. The proposed implementation uses parallelism and caching to achieve better performance. We used Register Transfer Level (RTL) simulation and formal verification to do functional verification of the implemented design.The design is implemented on Xilinx Virtex-7 to be evaluated. Experiments prove that this implementation achieves 100 times enhancement for low obstacle maps and 50 times for high ones relative to software implementation. The design is suitable for real-time applications.
传统的A*算法迭代次数多,耗时长。在每次迭代中,要访问多个数据结构的内存,对函数进行评估,然后将其排序到队列中,这使得它有时不适合实时应用程序。为了满足实时应用的要求,本文提出了a *算法的快速实现方法。建议的实现使用并行性和缓存来实现更好的性能。我们使用寄存器传输级(RTL)仿真和形式化验证来对实现设计进行功能验证。该设计在Xilinx Virtex-7上实现,待评估。实验证明,与软件实现相比,该实现对低障碍物地图的增强效果达到100倍,对高障碍物地图的增强效果达到50倍。该设计适合于实时应用。
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引用次数: 0
Comparative Study of Different Activation Functions for Anomalous Sound Detection 不同激活函数在异常声检测中的比较研究
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664952
Youssef Abdelrahman Ahmed, Hisham Othman, Mohammed Abdel-Megeed Salem
Anomaly detection is of great importance in our modern life as it can be very useful in many ways such as lowering costs, avoiding potential injuries, and even saving lives. The method of anomalous sound detection using the Self-Supervised Learning (SSL) approach is effective and has a relatively low training time with the use of a Convolutional Neural Network (CNN). The use of techniques such as the pre-training and hard sample with the SSL approach led to producing very high results scoring results higher than 0.9 for the Area under the curve (AUC) score especially for the non-stationary sounds. An AutoEncoder (AE) based system developed by the Detection and Classification of Acoustic Scenes and Events (DCASE2020) competition’s organizers were used for comparative purposes to compare the results of the SSL method with the results of the baseline system. The results of the baseline system and the results of the SSL approach with different configurations and the SSL method had shown higher results in most cases.
异常检测在我们的现代生活中非常重要,因为它可以在许多方面非常有用,例如降低成本,避免潜在的伤害,甚至挽救生命。使用自监督学习(SSL)方法进行异常声音检测的方法是有效的,并且使用卷积神经网络(CNN)的训练时间相对较短。使用预训练和硬样本等技术与SSL方法产生了非常高的结果得分结果,曲线下面积(AUC)得分高于0.9,特别是对于非平稳声音。由声学场景和事件检测与分类(DCASE2020)竞赛组织者开发的基于自动编码器(AE)的系统用于比较目的,将SSL方法的结果与基线系统的结果进行比较。基线系统的结果和具有不同配置的SSL方法的结果以及SSL方法的结果在大多数情况下显示出更高的结果。
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引用次数: 1
Experimental and Computational Acoustic Analysis of the Pressure Distribution Inside a Mechanical Resonator Used for Implantable Medical Devices 植入式医疗器械机械谐振器内部压力分布的实验与计算声学分析
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664925
Amir R. Ali, R. Mahmoud, A. Issac, Gannah H. Abo-Youssef, H. Kandil
This paper aims to examine the pressure distribution inside a quarter wavelength resonator tube with the aid of acoustic energy harvesting techniques. The dominant application for this study encompasses medical devices in-vivo. Eigen frequencies and Eigen modes are to be taken into consideration and accordingly, the tube dimensions will be designed in order to achieve resonance where the optimum efficiency can be reached. Examining the pressure distribution is to be carried out using experimental acoustics analysis and computational analysis. A sensor is used in the experimental analysis in order to sense the maximum pressure in each location along the circular and rectangular cross-sectional tubes.
本文旨在利用声波能量收集技术研究四分之一波长谐振腔管内的压力分布。本研究的主要应用包括体内医疗设备。要考虑本征频率和本征模态,因此,将设计管的尺寸,以实现共振,从而达到最佳效率。通过实验声学分析和计算分析对压力分布进行检测。在实验分析中使用了传感器,以便沿圆形和矩形截面管在每个位置感知最大压力。
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引用次数: 0
Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs 使用机器学习来预测FPGA设计放置期间的工作频率
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664954
M. Fathi, T. Martin, G. Grewal, S. Areibi
Circuit placement is an NP-hard problem and is considered to be one of the most challenging steps in the FPGA design flow. The goal of this paper is to explore how machine-learning regression models can be used during placement to predict the maximum frequency of operation. Each model uses static features from the circuit netlist, and dynamic features from the current placement, as input. Results obtained using standard benchmarks indicate that ensemble based machine learning models are capable of accurately predicting the maximum frequency of operation with an average error of 1.72%.
电路布局是一个np难题,被认为是FPGA设计流程中最具挑战性的步骤之一。本文的目标是探索如何在放置期间使用机器学习回归模型来预测操作的最大频率。每个模型都使用来自电路网表的静态特征和来自当前位置的动态特征作为输入。使用标准基准测试获得的结果表明,基于集成的机器学习模型能够准确预测最大操作频率,平均误差为1.72%。
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引用次数: 0
Faster R-CNN assessment for air bubbles detection in the conformal coating application 更快的R-CNN评估用于保形涂层应用中的气泡检测
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664962
Nizar Zouhri, A. E. Mourabit, Alaoui Ismaili Zine El Abidine
The detection of defects in Printed Circuit Boards (PCB) during the assembly process is an important quality requirement for the electronic manufacturing.The present paper emphasizes the assessment of computer vision implying Faster-RCNN object detection architecture, with the aim of air bubbles defects detection in PCB following the conformal coating process.Several image configurations have been used to increase artificially the training model’s performance, such as air bubbles size, location (on a flat PCB’s surface, between components leads) and illumination, etc.Toward reaching this cap, we used a random pattern of choice regarding the images with different configurations to properly evaluate its performance, especially the accuracy, precision and sensitivity.Our results showed that Faster-RCNN delivers the lowest detection performance for the air bubbles located between components leads compared to the ones located on flat PCB surfaces.This paper shows the accuracy, precision and sensitivity performance results by applying the Faster-RCNN object detection architecture for air bubbles defect detection in the conformal coating application, with aim of providing reference for future research in the field of air bubbles detection.
印刷电路板在装配过程中的缺陷检测是电子制造的一项重要质量要求。本文重点研究了基于快速rcnn目标检测体系结构的计算机视觉评估,旨在检测PCB保形涂层后的气泡缺陷。已经使用了几种图像配置来人为地提高训练模型的性能,例如气泡大小,位置(在平面PCB表面上,元件引线之间)和照明等。为了达到这一上限,我们使用了针对不同配置的图像的随机选择模式来适当评估其性能,特别是准确性,精度和灵敏度。我们的研究结果表明,与位于平面PCB表面上的气泡相比,Faster-RCNN对位于组件引线之间的气泡提供了最低的检测性能。本文展示了fast - rcnn目标检测架构在保形涂层应用中气泡缺陷检测的准确性、精密度和灵敏度性能结果,旨在为未来气泡检测领域的研究提供参考。
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引用次数: 0
Design and Analysis of Obfuscated Full Adders 模糊全加法器的设计与分析
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664955
Sandeep Kolla, Ayesha Sk, S. Veeramachaneni, S. Mahammad
In modern day semiconductor industry secure circuit/hardware is one of the major concern due to issues like IC piracy, Trojan insertion, IC over production and etc.,. Recently researchers has demonstrated various hardware based attacks and also expressed their concern towards the design of the obfuscated circuit. Securing the hardware circuit is one of the key concerns today. This work proposes design of the secure adders and its implementations. The objective of this work is to design minimal overhead based secure adders for secure system design. This can be achieved by encrypting the key into the hardware circuit at transistor level. The correct key ensures circuit’s correct operation, else it produces an incorrect value. The correct and incorrect operation resultant output can not be distinguished by the malicious user.
在现代半导体工业中,由于IC盗版,木马插入,IC生产过剩等问题,安全电路/硬件是主要关注的问题之一。最近,研究人员展示了各种基于硬件的攻击,并表达了他们对模糊电路设计的关注。确保硬件电路的安全是当今的关键问题之一。本文提出了安全加法器的设计和实现方法。本工作的目标是为安全系统设计设计基于最小开销的安全加法器。这可以通过在晶体管级将密钥加密到硬件电路中来实现。正确的键保证电路的正确工作,否则会产生错误的值。恶意用户无法区分正确和错误的操作结果输出。
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引用次数: 1
Assessing Centralized and Decentralized EV Charging Schemes using PV-Grid Connected System, Case Study in Egypt 评估使用光伏并网系统的集中式和分散式电动汽车充电方案,埃及案例研究
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664915
Nader M. Hassan, S. Abdellatif
Egypt’s vision 2030 aims to reach a diversified, balanced, and competitive economy through the sustainable development basis. Electric vehicles (EVs) as well as renewable energy have an important role to play. Both, electric vehicles, and renewable energy resources are deeply involved in the Integration of Sustainable Energy Strategy year 2035 (ISES2035), which was released in 2015 by the Ministry of Electricity and Renewable. Introducing electricity to transportation has been developed to support CO2 decrease and energy effectiveness. Consequently, electric vehicles have become more popular in the current transportation system to utilize more effective and environment-friendly energy. The energy sectors integration concept aims to use the renewable energy sources in transportation as well as in power generation. In this research a comprehensive study was made to compare the techno-economic effectiveness of centralized DC fast charging schemes, with decentralized (indoor/overnight) AC charging schemes. In both scenarios photovoltaic (PV) system is assumed to charge the battery of electric cars making use of the current net-metering scheme that applied in Egypt.
埃及2030年愿景的目标是在可持续发展的基础上实现经济的多元化、平衡和竞争力。电动汽车(ev)和可再生能源将发挥重要作用。电力和可再生能源部于2015年发布了《2035年可持续能源战略整合》(ISES2035),电动汽车和可再生能源都被深度纳入其中。在交通运输中引入电力是为了减少二氧化碳排放和提高能源效率。因此,电动汽车在目前的交通系统中越来越受欢迎,以利用更有效和更环保的能源。能源部门一体化概念旨在将可再生能源用于交通运输和发电。本研究对集中式直流快速充电方案与分散式(室内/夜间)交流充电方案的技术经济效益进行了全面的比较研究。在这两种情况下,光伏(PV)系统都假定使用目前在埃及应用的净计量方案为电动汽车的电池充电。
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引用次数: 2
Double Gate TFET with Germanium Pocket and Metal drain using Dual Oxide 双栅极晶体管与锗袋和金属漏极采用双氧化物
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664949
Anam Khan, S. Loan
A detailed and thorough study has been carried out to realize the working of our proposed device which is a Germanium (Ge) pocket based Tunnel Field Effect Transistor (TFET). The proposed device employs a germanium pocket near the source channel junction of the double-gate TFET. Germanium, being a low bandgap material, increases the transmission rate of electrons at the tunneling junction and hence improves the ON state performance of the device. The proposed TFET also uses a dual oxide, with hafnium oxide (HfO2) near the source side and silicon dioxide (SiO2) near the drain. The use of Ge pocket and the dual oxide improve the characteristics of our proposed TFET significantly. Another objective of this work is to eliminate the ambipolarity problem, which has been dealt with by using a metallic drain in place of the conventional material. Two dimensional (2D) calibrated simulations have shown a doubling of ON current (ION), two orders increase in ION/IOFF ratio, ambipolarity suppression and steep subthreshold slope (SS) of 30 mV/dec in the proposed device in comparison to the conventional TFET. The device works at an operating voltage of 0.4V with gate voltage varying from -0.6V to +0.6V. Further simulations have been carried out to improve the performance of the proposed device by optimizing various other device parameters.
我们提出了一种基于锗(Ge)口袋的隧道场效应晶体管(TFET)器件,并对其工作进行了详细而深入的研究。所提出的器件在双栅TFET的源沟道结附近采用锗口袋。锗作为一种低带隙材料,增加了电子在隧道结处的传输速率,从而提高了器件的ON态性能。提出的TFET还使用双氧化物,在源侧附近有氧化铪(HfO2),在漏侧附近有二氧化硅(SiO2)。使用锗口袋和双氧化物显著改善了我们所提出的TFET的特性。这项工作的另一个目标是消除双极性问题,这是通过使用金属漏极代替传统材料来解决的。二维(2D)校准模拟表明,与传统的TFET相比,该器件的ON电流(ION)增加了一倍,ION/IOFF比增加了两个数量级,具有双极性抑制和30 mV/dec的陡阈下斜率(SS)。器件工作电压为0.4V,栅极电压为-0.6V ~ +0.6V。进一步的仿真通过优化各种其他器件参数来提高所提出器件的性能。
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引用次数: 2
Prototype of a Residential Electric Power Management Apparatus 一种住宅用电管理装置的样机
Pub Date : 2021-12-19 DOI: 10.1109/ICM52667.2021.9664927
Ziad Noun, Ali Koubyssi, M. Arnaout, Rabih Rammal
The solution of the increase in electricity bills especially in a residential apartment is done by smart metering and power management system that controls the consumption of each appliance in the home and leads to the reduction in electricity bills. This can be done using the programmable logic controller (PLC) that facilitates our work and makes it much better. In this system, a human-machine interface (HMI) is used to control the loads where it displays the options of what the user should turn ON/OFF in order to achieve low bills. For that, the system should receive the price of the bill that the user wants to pay at the end of the month and then it will start work accordingly.
解决电费增加的方法,特别是在住宅公寓,是通过智能计量和电力管理系统来控制家里每个电器的消耗,从而减少电费。这可以使用可编程逻辑控制器(PLC)来完成,这有助于我们的工作并使其更好。在这个系统中,一个人机界面(HMI)被用来控制负载,它显示了用户应该打开/关闭的选项,以实现低账单。为此,系统应该在月底收到用户想要支付的账单价格,然后它将相应地开始工作。
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引用次数: 1
期刊
2021 International Conference on Microelectronics (ICM)
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