2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)最新文献_第6页

Performance Analysis of High Gain Z-Source DC-DC Boost Converter 高增益z源DC-DC升压变换器性能分析

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642507

Rahul Kumar, R. Kannan, N. M. Nor

{"title":"Performance Analysis of High Gain Z-Source DC-DC Boost Converter","authors":"Rahul Kumar, R. Kannan, N. M. Nor","doi":"10.1109/ICIAS49414.2021.9642507","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642507","url":null,"abstract":"With the increasing trend in energy demand, researchers are moving towards renewable energy sources (RESs). However, RESs such as, fuel cell or photovoltaic panel offers low output voltage, and it is essential to step-up this low voltage before connecting to the grid or an inverter in two stage power conversion system. The Z-network converter could be used for DC-DC conversion to enhance renewable energy sources voltage. however, boost capabilities of conventional Z-source DC-DC converter (ZSC) are limited, and utilization of higher part count makes it bulky and expensive. In this paper, a new design of ZSC is presented that offers higher gain at smaller duty cycle. Besides, the performance of proposed converter is analyzed with parasitic parameters to validate the proposed design. Moreover, the PI controller is designed for the proposed converter to maintain the constant output voltage to the desired value. The values of proportional and integral (P and I) terms are calculated based on the PID tuning method and the transfer function of the proposed system is achieved using the system identification toolbox (SIT) in MATLAB. Moreover, The performance of proposed converter is compared with recently proposed Hybrid ZSC and conventional ZSC. The simulation studies for the proposed design, conventional ZSC, and Hybrid ZSC are carried out in Simulink software and the outcome verified the superiority of the proposed converter over conventional converters.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123106015","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

Stochastic Approach for the Identification of Retinopathy of Prematurity 早产儿视网膜病变的随机鉴别方法

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642618

Srinivasan Prabakar, K. Porkumaran, R. Karthikeyan, Samson Isaac, R. Kannan, N. M. Nor, I. Elamvazuthi

{"title":"Stochastic Approach for the Identification of Retinopathy of Prematurity","authors":"Srinivasan Prabakar, K. Porkumaran, R. Karthikeyan, Samson Isaac, R. Kannan, N. M. Nor, I. Elamvazuthi","doi":"10.1109/ICIAS49414.2021.9642618","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642618","url":null,"abstract":"Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vision of eye. Blood vessels supply oxygen and nutrients to the retina and these blood vessels begin to develop at 16-18 weeks after conception, and complete with full maturity before the normal birth. Premature birth suffers the development of the retina vasculature and leaves some of the retina without blood vessels, which causes of visual loss in childhood. Serial RetCam images are acquired from premature infants. By applying three pre-processing techniques such as green colour plane, histogram equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), we can get the best contrast between the vessels and background of retina. After segmentation, watershed transform is applied, and then six statistical features are taken out from that image. Finally the images are categorized as normal or abnormal by using ANFIS (The Adaptive Neuro-Fuzzy Inference System) classifier.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115510353","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

Deterministic vs. Probabilistic Sensing Models for Geometrical Camera Coverage Modeling 几何相机覆盖建模的确定性与概率感知模型

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642623

A. A. Altahir, V. Asirvadam, P. Sebastian, N. H. Hamid

引用次数: 0

Contact Resistance of Metal-CNT Contacts in Field Effect Based Sensors 场效应传感器中金属-碳纳米管触点的接触电阻

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642660

S. S. Alabsi, M. Khir, M. Saheed, J. Dennis, A. Y. Ahmed

{"title":"Contact Resistance of Metal-CNT Contacts in Field Effect Based Sensors","authors":"S. S. Alabsi, M. Khir, M. Saheed, J. Dennis, A. Y. Ahmed","doi":"10.1109/ICIAS49414.2021.9642660","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642660","url":null,"abstract":"Contact engineering is a very crucial area of sensor development. This is especially true when dealing with devices at the very small micro and nano scale. Field effect-based sensors implementing nanodevices as channel material are amenable to extreme device miniaturization. Semiconducting carbon nanotubes (sc-CNTs) are exceptionally promising for FET-channel integration to replace bulky silicon technology beyond the dimensions of the short channel effects for their ID ultrathin structure, and superior mechanical and electronic features. However, the inhomogeneous contact between metal electrodes and the sc-CNT is amounting at relatively high contact resistance. In this paper, the effect of variation of certain physical parameters on electronic features was mathematically investigated using Y-Function Method (YFM) equations. Two physical parameters; CNT diameter and contact length, were varied in a range of set values. Results show that lower band gap energy and threshold voltage are obtained with larger CNT diameters, while increasing contact length have a significant reduction effect on contact resistance. In addition, the effect of contact resistance on sensor’s performance in terms of drain current and the transconductance was also demonstrated.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457727","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

A Hybrid Combination of a Convolutional Neural Network with a Regression Model for Path Loss Prediction Using Tiles of 2D Satellite Images 基于回归模型和卷积神经网络的二维卫星图像路径损失预测

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642585

Usman Sammani Sani, D. Lai, O. A. Malik

{"title":"A Hybrid Combination of a Convolutional Neural Network with a Regression Model for Path Loss Prediction Using Tiles of 2D Satellite Images","authors":"Usman Sammani Sani, D. Lai, O. A. Malik","doi":"10.1109/ICIAS49414.2021.9642585","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642585","url":null,"abstract":"Wireless communications networks require very accurate design, especially for the 5G networks that is an aggregation of various network types in its Heterogeneous Ultra Dense Network (H-UDN) architecture. The limitation is that path loss models with large prediction scope and high accuracy are not available. In this work we developed a novel architecture for a multiple environment and multiple parameter path loss prediction model using a combination of a Convolutional Neural Network (CNN) and a regressor. The CNN extracts features from 2D satellite images and together with some numerical features are trained to a regressor model. Various machine learning algorithms were used as the regressor and their performances evaluated. A least decrease of 1.0262dB in Root Mean Squared Error (RMSE) was achieved by our model, in comparison to a deep learning architecture in which Multiple Layer Perceptron is used in place of the regressor. We also demonstrated that using an image composed of tiles of satellite images of the receiver and transmitter locations, and other points along the path from transmitter to receiver improves results over using the image at the receiver location only.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031776","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: 4

Modeling of a Highly Sensitive Lorentz Force-Based CMOS-MEMS Magnetometer for E-Compass Applications 用于电子罗盘的高灵敏度洛伦兹力CMOS-MEMS磁强计的建模

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642619

O. L. Al-Mahdi, A. Y. Ahmed, J. Dennis, M. H. M. Md Khir

{"title":"Modeling of a Highly Sensitive Lorentz Force-Based CMOS-MEMS Magnetometer for E-Compass Applications","authors":"O. L. Al-Mahdi, A. Y. Ahmed, J. Dennis, M. H. M. Md Khir","doi":"10.1109/ICIAS49414.2021.9642619","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642619","url":null,"abstract":"Magnetometers are devices used to measure the magnetic field, however, most commercialized magnetometers are facing several disadvantages. If not being of low sensitivity, the device attains a high cost and high-power consumption. Thus, it is a necessity to mathematically design and model CMOS-MEMS magnetometer which will be able to detect low magnetic fields. A fine simulation using ConventorWare software is applied to validate the designed magnetometer model. In this paper, Lorentz force and an integration of CMOS and MEMS technologies were implemented The designed magnetometer is made in one mode (out-of-plane) to function in one axis (z-axis), and the CMOS-MEMS magnetometer output signal is determined by piezoresistive sensing technique as piezoresistors are connected in full Wheatstone bridge circuit. A 3-D solid model was created and meshed based on the theoretical calculations and data. Simulation results shows that theoretical and simulation results are almost the same, except that resonance frequency is of 11% difference and 11.6% for quality factor. The average percentage difference between calculated and simulated displacement when magnetic field is detected to be of 2.801%.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897501","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

LoRa and High-Altitude Platforms: Path Loss, Link Budget and Optimum Altitude LoRa和高空平台:路径损耗、链路预算和最佳高度

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642705

A. Almarhabi, A. Aljohani, M. Moinuddin

引用次数: 2

Dual-Mode Chained-Response Dual-Band Filter 双模链响应双带滤波器

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642533

G. S. Ng, David C. H. Bong, S. Cheab, R. Pec, S. Soeung

引用次数: 0

Voice Controlled Artificial Intelligent Smart Wheelchair 语音控制人工智能智能轮椅

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642607

A. Iskanderani, Foyzur Razzaque Tamim, M. Rana, Wasif Ahmed, I. Mehedi, A. Aljohani, Abdul Latif, Shaikh Abdul Latif Shaikh, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Mahendiran T. Vellingiri

引用次数: 5