2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)最新文献_第2页

Performance Analysis of Surface Plasmon Resonance Sensor Having Multi-layer Structures of MoS2 and Graphene in NIR-region nir区二硫化钼和石墨烯多层结构表面等离子体共振传感器的性能分析

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981071

Chandresh Sindal, Yesudasu Vasimalla, P. Patel

{"title":"Performance Analysis of Surface Plasmon Resonance Sensor Having Multi-layer Structures of MoS2 and Graphene in NIR-region","authors":"Chandresh Sindal, Yesudasu Vasimalla, P. Patel","doi":"10.1109/IEMENTech48150.2019.8981071","DOIUrl":"https://doi.org/10.1109/IEMENTech48150.2019.8981071","url":null,"abstract":"This paper reported a performance analysis of surface plasmon resonance (SPR) sensor using Silver (Ag) as a plasmonic material having different layer structures of 2D materials in Near Infrared (NIR) region. Most of the traditional SPR sensors are limited to visible light range only. In this paper, multilayer-structure of 2-D materials such as Graphene and molybdenum disulfide (MoS2) along with Ag is investigated. 2-D materials are capable to enhance the efficiency of the sensor and can also protect Ag from oxidation. Present work investigated the effect of multilayer coating of 2-D materials on either side of a plasmonic material (Ag). For that Single-layer, two-layer and three-layer structure are analyzed at 750 nm wavelength. Performance of the sensor is analyzed by measuring the sensitivity, maximum value of Rminand full-width-at-half-maximum (FWHM) in the response with RI of various analytes. Air, Water, Methanol and Urea are used as analytes. Range of refractive index is varied from 1.0 to 1.4852 of analytes. The results show that maximum of Rmin 4.83 $x$ 10−5, 3.0 $x$ 10−3 and 8.55 $x$ 10−3 is obtained with three-layer structure. Limit of detection with three-layer structure is obtained 0.0760 RIU for air, water, methanol and urea as a sensing medium, respectively. Maximum of Rmin, Sensitivity and FWHM increased as the number of layers of 2D materials added to the structure. Obtained results show that the maximum sensitivity 73.149°/RIU is achieved for Ag with three-layer structure at 750 nm, which implies the proposed SPR sensor is suitable for various analytes detection including biochemical and bio-molecule detection.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124468247","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

Transition of Wide Band to Dual Band CPW fed Rectangular Wearable Microstrip Antenna for Implementation in WBAN 宽带向双频CPW馈电矩形可穿戴微带天线过渡的实现

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981070

Srijita Chakraborty, Mrinmoy Chakraborty, N. Pathak

引用次数: 3

Multiplier Using NAND Based Compressors 使用基于NAND的压缩器的乘法器

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981067

Tella Satish, Kirti S. Pande

{"title":"Multiplier Using NAND Based Compressors","authors":"Tella Satish, Kirti S. Pande","doi":"10.1109/IEMENTech48150.2019.8981067","DOIUrl":"https://doi.org/10.1109/IEMENTech48150.2019.8981067","url":null,"abstract":"In this paper, NAND based 5:3 compressor is proposed and is used to implement a high order 15:4 compressor. The 15:4 compressor's performance that uses proposed 5:3 compressor is compared with the implemented 15:4 compressor using existing low order compressors such as 6:3, 7:3 & using full/half adders. Compressors are used to add the partial product terms in the multiplier design at various stages. All the low order compressors use stacking approach to minimize the number of XOR gates along the critical path that uses basic logic gates for implementation. As per the proposed idea all the low order compressors are designed using only NAND gates for the comparison purpose and are in turn used to implement high order 15:4 compressor. Usage of NAND gates only in the design improves the design uniformity and gives better comparison in terms of the delay through the critical path. The optimum result for area, power and delay is observed for the 15:4 compressor implemented using 5:3 compressor proposed in this paper. This optimized 15:4 compressor as a major block of high order compressor, along with required number of other low order compressors, is used to implement a 16×16 multiplier and compared with existing 16×16 Wallace tree multiplier explained in literature survey. The functional simulation is carried out using Xilinx and the performance comparison is done using Cadence RTL compiler at 90 nm technology. The result shows that there is an improvement of 6.01%, 4.243%, & 9.97% with respect to area, power & delay respectively, in 16×16 multiplier using proposed idea when compared with existing 16×16 Wallace tree multiplier.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132518041","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

A Dynamic Current Mode D-Flipflop for High Speed Application 一种高速应用的动态电流模式d触发器

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981081

M. Maiti, Anupama Paul, S. K. Saw, A. Majumder

引用次数: 3

Design and Simulation of Silicon-on-Insulator Based Dielectric-Modulated Field Effect Transistor for Biosensing Applications 生物传感用介电调制场效应晶体管的设计与仿真

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981115

A. Singh, S. Sinha

引用次数: 2

Comparison of Artificial Neural Network and Gaussian Mixture Model Based Machine Learning Techniques Using DDMFCC Vectors for Emotion Recognition in Kannada 基于DDMFCC向量的人工神经网络与高斯混合模型机器学习技术在卡纳达语情感识别中的比较

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981386

Prashanth Kannadaguli, Vidya Bhat

引用次数: 2

High Speed Error-Detection and Correction Architectures for Viterbi Algorithm Implementation Viterbi算法实现的高速错误检测和校正体系结构

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981127

A. Kumar, P. S. Kumar

{"title":"High Speed Error-Detection and Correction Architectures for Viterbi Algorithm Implementation","authors":"A. Kumar, P. S. Kumar","doi":"10.1109/IEMENTech48150.2019.8981127","DOIUrl":"https://doi.org/10.1109/IEMENTech48150.2019.8981127","url":null,"abstract":"The Viterbi algorithm is mostly used technique in the latest communication technology nodes to decode the convolutional codes. It is widely used in digital cellular, satellite communications and wireless Local Area Networks (LANs). In this work three different types of error detection schemes are discussed. Add-compare and select unit is iterative process in Viterbi decoder. Reduction of latency is achieved using the concept of Brent-Kung Adder. This scheme promotes the overall system performance by reducing the propagation delay. The merits of the proposed schemes are embedded with the design to detect and correct the transient and stuck-at-faults. The system functionality is verified using verilog HDL. The proposed architectures are simulated and synthesized in CADENCE [45nm technology] for Application Specific Integrated Circuit (ASIC) and FPGA (Virtex-6 family). In case of ASIC implementation, we achieve an improvement in delay by 12.39%, area by 11.43% for error detection and 5.83% in delay, 1.10% in area for error correction module. Also achieved an improvement in delay by 31.87%, area by 37.50% for error detection and 1.10% in delay, 5.83% in area for error correction over proposed error detection architecture in the FPGA implementation.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801618","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: 1

Microwave Imaging Based Damage Detection in Columns Using Artificial Neural Network 基于人工神经网络的微波成像柱损伤检测

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981242

V. Harini, Nayana N. Patil, H. M. Swamy

{"title":"Microwave Imaging Based Damage Detection in Columns Using Artificial Neural Network","authors":"V. Harini, Nayana N. Patil, H. M. Swamy","doi":"10.1109/IEMENTech48150.2019.8981242","DOIUrl":"https://doi.org/10.1109/IEMENTech48150.2019.8981242","url":null,"abstract":"Buildings are exposed to damage and deterioration during their life cycle. So, damage assessment plays an important role in Structural stability. Cracks in the structures are of common occurrence, hence early detection of cracks is necessary. Damages like cracks are detected using Microwave sensors for columns. Damages like Horizontal and vertical cracks are determined by training Artificial Neural Network with known data. ANN approach is required as a Structural health monitoring tool for predicting damage in columns. Crack detection system is built in columns of civil structures based on Artificial Neural Network. This is constructed upon probabilistic pattern recognition and data modelling. The frequency data was collected from 12 microwave sensors for 30 positions of column and is required to train and test the mathematical ANN model. Since, mean and covariance of the statistical data are well known features used in feature extraction. Finally, performance analysis of the model in terms of Crack Error Rate (CER) justifies that dynamic modelling using ANN yields better results and this can also be used in developing Automatic Crack detection systems.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117085761","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

Modeling of MEMS based Surface Acoustic Wave-Gas Sensor to Obtain Enhanced Sensitivity 基于MEMS的表面声波-气体传感器建模以获得更高的灵敏度

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981327

N. V. Teja, N. Harathi, A. Sarkar, K. S. Priya

引用次数: 1

Prediction of Orographic Rainfall using Regression Based Method and Artificial Neural Network 基于回归和人工神经网络的地形降水预测

2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2019-08-01 DOI: 10.1109/IEMENTech48150.2019.8981223

T. K. Rana, Naomi Mallik, H. Saikia, S. Chakraborty

引用次数: 0