2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)最新文献_第6页

A Novel High-Speed High-Gain and Low-Noise CMOS Amplifier in 0.18µm Process 一种新型高速高增益低噪声0.18µm工艺CMOS放大器

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735020

S. Mahdavi, F. Noruzpur, Shahram Esmaeilie, Amin Sadeghi, Arvin Mohammady

{"title":"A Novel High-Speed High-Gain and Low-Noise CMOS Amplifier in 0.18µm Process","authors":"S. Mahdavi, F. Noruzpur, Shahram Esmaeilie, Amin Sadeghi, Arvin Mohammady","doi":"10.1109/KBEI.2019.8735020","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735020","url":null,"abstract":"This work describes a novel high-speed, high-gain and low-noise CMOS operational amplifier with interior CMFB for high-speed applications. In the proposed structure, the design employs an auxiliary interior CMFB technique to enhance the effective transconductance and hence achieves high gain and high unity-gain bandwidth (UGB), as well. Meanwhile, all the transistors are biased to operate in sub-threshold region to decrease power consumption. Applying the proposed idea, the AC response of the amplifier shows the 88.42dB Dc gain and Unity-Gain Bandwidth (UGB) of 1.45 GHz and the phase margin of 78.2°, respectively. The output and input referred noise plot gives a peak value of 1.83pV/√Hz and 81nV/√Hz, respectively. It is notable that, the noise analysis has been performed with a 6mV signal applied at the input nodes. To measure the ICMR, the DC transfer characteristic of the proposed amplifier is simulated by setting up the amplifier in a unity-gain, non-inverting configuration with a 1.8V supply. The DC transfer characteristic almost rail-to-rail ICMR, from 421µV to 1.756V, as well. Meanwhile, at the 1.8volts power supply and load capacitance of 1pF, the overall power consumed by instrumentation amplifier is 1.39mW. The layout of the proposed amplifier is designed by using the Cadence Virtuoso, the amplifier core occupies an active area of the only 36.05μm×13.40μm (0.483mm2). The simulation results of the proposed amplifier is performed by HSPICE using the BSIM3 model of a 180nm CMOS technology.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131540268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Resource Allocation in Cloud Computing by Grasshopper Optimization Algorithm 基于Grasshopper优化算法的云计算资源分配优化

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735098

J. Vahidi, Maral Rahmati

{"title":"Optimization of Resource Allocation in Cloud Computing by Grasshopper Optimization Algorithm","authors":"J. Vahidi, Maral Rahmati","doi":"10.1109/KBEI.2019.8735098","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735098","url":null,"abstract":"Cloud computing system due to Pay-Per-Use Model has been popular among Cloud resource users. However, large volume of resource and requests from users have made the issue of resource allocation challenging in this kind of system. Therefore, the present paper aims to recognize the role of innovative Grasshopper Optimization Algorithm (GOA) and strongly highlights the significance of such an algorithm for optimized resource allocation in a Cloud computing environment. To do so, the proposed algorithm (i.e., GOA) was simulated with MATLAB and eight datasets were used. Moreover, GOA was compared with GA and SEIRA algorithms in order to have precise evaluation of its performance. Results strongly acknowledged the application of the proposed GOA and highlighted its high ability to solve the resource allocation problem in Cloud computing. Findings also revealed that the functions designed for the basic operators of the GOA could appropriately look into the space of the problem response, resulting in optimization of the discovered responses, and finally providing opportunities to obtain an acceptable response regarding the allocation problem. It was undeniably recommended that other optimization algorithms can be investigated and compared with GOA in order for the users and service providers to be armed with practical solutions concerning the resource allocation problem.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122201141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Utilization-aware Virtual Network Function Placement Using NSGA-II Evolutionary Computing 基于NSGA-II进化计算的利用率感知虚拟网络功能布局

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734978

Sanaz Tavakoli-Someh, Mohammad Hossein Rezvani

引用次数: 10

Design of a mechanism for sorting and filling of pipette tips into racks 设计一种将移液器头分拣并装入架子的机构

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735053

Mohammad Ghanatian, S. Taghvaei, S. Haghpanah

引用次数: 1

Design and Manufacturing Modular Inverter with High Power and Frequency for Increasing Safety Factor in Industrial Applications 高功率、高频率模块化逆变器的设计与制造，提高工业应用中的安全系数

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735034

Maryam Yalsavar, Yasaman Salmanpour, Mojtaba Hajihosseini, P. Karimaghaee

引用次数: 0

Pre-Compensated Proportional Derivative Sliding Mode Controller Design for Image Based Visual Servoing 基于图像的视觉伺服预补偿比例导数滑模控制器设计

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735049

Hamid NouriSola, Askar Azizi, Sajjad Shoja Majidabad

引用次数: 1

Output Feedback Linearization-Adaptive Sliding Mode Control of TORA System 输出反馈线性化-自适应滑模控制TORA系统

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735097

Hamid NouriSola, Askar Azizi, S. Shoja-Majidabad

引用次数: 1

Improving the Performance of Analog Integrated Circuits using Multi-Objective Metaheuristic Algorithms 利用多目标元启发式算法改进模拟集成电路的性能

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8735091

N. S. Shahraki, A. Mohammadi, Sadegh Mohammadi-Esfahrood, S. Zahiri

{"title":"Improving the Performance of Analog Integrated Circuits using Multi-Objective Metaheuristic Algorithms","authors":"N. S. Shahraki, A. Mohammadi, Sadegh Mohammadi-Esfahrood, S. Zahiri","doi":"10.1109/KBEI.2019.8735091","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735091","url":null,"abstract":"Low-Noise Amplifier (LNA) is the first critical component and an important part of the analog integrated systems and wireless communication technology. LNA plays a key role in the design of Radio Frequency (RF) circuits. High voltage gain, low power consumption, high bandwidth and low Noise Figure (NF) are among the most prominent characteristics of LNAs. In this paper, in order to establish an appropriate tradeoff between circuit contradictory objectives and overcoming the design problem of an efficient LNA, the approach is focused on utilizing metaheuristic optimization methods for elements intelligent sizing and circuit automatic design. For this purpose, the Computer-Aided Design (CAD) tool based on the new and powerful version of Multi-Objective Gray Wolf Optimization (MOGWO) has been used. Implementation of algorithms in Matlab and circuit simulations in Hspice has done. Simulation results, in contrast to other research, not only meet the design specifications, but also provide a variety of solutions under the \"Pareto-optimality\", which allows designers to have more design options. Also, the evaluations indicate the close competition between the proposed method and other commonly used methods.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130758613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

KBEI 2019 Technical and Executive_Committees KBEI 2019技术和执行委员会

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/kbei.2019.8734957

引用次数: 0

Increasing the Anonymity of a Social Network Based on Splitting Users into Constant Usefulness and Zero Information Loss 基于用户持续有用和零信息丢失的社交网络匿名性提升研究

2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) Pub Date : 2019-02-01 DOI: 10.1109/KBEI.2019.8734997

Seyed Javad Vaez Jalali, A. Falahati

引用次数: 0