2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)最新文献_第9页

Sizing & Simulation of Single Switch Advanced HG DC-DC Converter Powered by Solar 太阳能单开关高级HG DC-DC变换器的尺寸及仿真

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093451

N. Muthukuri, S. Mopidevi

引用次数: 0

A Dual Band THz Metamaterial based Absorber for Gas Refractive Index Sensing 基于双波段太赫兹超材料的气体折射率传感吸收体

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093544

Shruti, S. Pahadsingh, B. Appasani

引用次数: 0

Blockchain Technology In Healthcare Industry 医疗行业的区块链技术

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093377

Ketan Gupta, Nasmin Jiwani, Md. Haris Uddin Sharif, N. Adhikari, Neda Afreen

引用次数: 0

Encephalogram based Detection of Psychosis Susceptibility Syndrome using CNN and Local Binary Pattern 基于脑电图的神经网络和局部二值模式检测精神病易感综合征

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093423

D. Shubhangi, Baswaraj Gadgay, A. Sultana, M. A. Waheed

{"title":"Encephalogram based Detection of Psychosis Susceptibility Syndrome using CNN and Local Binary Pattern","authors":"D. Shubhangi, Baswaraj Gadgay, A. Sultana, M. A. Waheed","doi":"10.1109/ICETEMS56252.2022.10093423","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093423","url":null,"abstract":"Most computer-aided medical diagnosis systems make extensive use of machine learning. These devices not only backed up doctor’s decision, but they also speed up the operations that were required. An electroencephalogram is a vital tool for determining the electrical activity of the brain. It is also known as electroencephalography (EEG). Parkinson’s disease, epilepsy, dementia, and psychosis susceptibility syndrome (PSS) can all be detected with an encephalogram. A unique strategy for detecting PSS using encephalogram recordings is proposed in this paper. The described technique divides every channel of input encephalogram records into encephalogram cadences at first. The wavelet transform is used. A ID binarization sequence is utilised for coding assimilated rhythms. The histograms of 1-dimensional LBP encoded beats are concatenated to create each row of the source pictures. The encephalogram signal input channels make up rows of the images, whereas the rhythms make up columns. Auto-encoders based on extreme learning machines (ELM) are used during the dataset augmenting stage. Once the data augmentation procedure is complete, PSS and normal patients are identified utilising deep transfer learning. Pre-trained CNN systems have been utilised for deep transfer learning. A number of performance evaluation measures are used to evaluate generated results. In this research paper, basic psychological types of psychosis susceptibility syndrome are discussed. An alternative name for psychosis susceptibility syndrome is schizophrenia.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115987965","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

ZnO coated nonwoven polypropylene fabric with antibacterial and antiviral function for medical applications 医用ZnO包覆聚丙烯非织造布具有抗菌和抗病毒功能

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093391

G. Deshmukh

{"title":"ZnO coated nonwoven polypropylene fabric with antibacterial and antiviral function for medical applications","authors":"G. Deshmukh","doi":"10.1109/ICETEMS56252.2022.10093391","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093391","url":null,"abstract":"The present pandemic has highlighted the necessity of infection protection gear as a crucial protective approach, particularly given the fact that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) readily infects individuals in poorly ventilated environments. Embedding antimicrobial function onto protection gear would have major implications in minimizing pathogen contamination and lowering healthcare associated illness. In this study, non woven polypropylene fabric (NWPP) which is widely used in personal hygiene products and hospital protective gears has been subjected to surface fictionalization with corona treatment. Surface polarity of the treated fabric was studied by use of dyne liquid which showed generation of surface polarization. Subsequently, the resultant surface polarized NWPP were spray coated with zinc oxide (ZnO) antiviral agent. The antiviral agents were rendered to adhere to NWPP by use of polyurethane solution coating on the fabric. The effect of antiviral coatings on NWPP fabric with the use of polyurethane solution as an adhesive were investigated in terms of antiviral activity and anti-bacterial activity against MS2 bacteriophage and Staphylococcus aureus and Klebsiella pneumonia bacteria respectively. Coating of surface polarized NWPP with polyurethene binder reduced the leaching of antiviral coating. More importantly, the fabrics exhibited promising antiviral and anti bacterial activity with 99.90 % reduction in microorganisms after 24 hours of exposure.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965931","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

Interpretation of Correlation Among Renal Obstruction Detecting Parameters Using 99mTc-DTPA Renal Diuretic Scintigraphy 99mTc-DTPA肾利尿显像检测梗阻参数的相关性分析

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093369

Pradnya N. Gokhale, B. R. Patil

{"title":"Interpretation of Correlation Among Renal Obstruction Detecting Parameters Using 99mTc-DTPA Renal Diuretic Scintigraphy","authors":"Pradnya N. Gokhale, B. R. Patil","doi":"10.1109/ICETEMS56252.2022.10093369","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093369","url":null,"abstract":"Renal obstruction is a blockage that results in building up urine in the kidney. Due to this obstruction kidneys swells and hence urine cannot excrete through the body. Diagnose of renal hydronephotic level can be done by checking how well the kidneys are functioning and by inspecting the kidneys fill and void into the bladder. Thus, renal scintigraphy using radioisotope 99mTc- DTPA test is suggested that measures renal obstruction’s severity (i.e. hydronephrosis) by diagnosing radio tracer’s transit time renal parameters like peak time (TMAX), half peak time $(mathrm{T}_{1/2)},(20$Min/Peak), 20Min/3Min and glomerular filtration rate of each kidney.These parameters are derived from the time activity curve using dual head gamma camera. This analysis was accomplished using 72 patients(with age ranging from 1 to 65 years) reported as hydronephrotic case including 37 patients with left kidney hydronephrosis and 35 patients with right kidney hydronephrosis and obtained a statistical relation among renal parameters and proved a significant effects of the obstruction severity on GFR values. Results of correlation among renal parameters found significantly positive and directly proportional with not only the levels of renal obstruction but also GFR.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294388","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

Some Investigations on Synchronous Generator Connected to Infinite Bus 同步发电机连接无限母线的若干研究

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093622

Pranjali M. Meshram, S. P. Gawande, S. Deshmukh, Amrita Chaudhury

引用次数: 0

A Mini-Review on Solar-Powered Energy Conservation Strategies for Sustainable Greenhouse Systems 可持续温室系统太阳能节能策略综述

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093594

Kamal Prajapat, M. Dhonde, K. Sahu, V. Murty

引用次数: 0

Effective Segmentation of Liver CT images using Marker Controlled Watershed Algorithm 基于标记控制分水岭算法的肝脏CT图像有效分割

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093254

Mohammad Anwarul Siddique, S. Singh, Moin Hasan

{"title":"Effective Segmentation of Liver CT images using Marker Controlled Watershed Algorithm","authors":"Mohammad Anwarul Siddique, S. Singh, Moin Hasan","doi":"10.1109/ICETEMS56252.2022.10093254","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093254","url":null,"abstract":"Many important tasks such as blood purification and removing toxic elements from body are performed by liver which makes it a very vital organ in human body. Changing lifestyle has increased the risk of liver cancer in recent times. Traditional methods of liver cancer detection take more time and it is costly. Therefore, computer aided diagnosis has gained popularity due to their ability to detect cancer in less time along with less costly. Computer aided diagnosis involves processing computed tomography images using some machine learning algorithms or deep learning algorithms. Efficiency of these algorithms depend upon the quality and quantity of input images. Noises are inherent in medical images. Noise can be removed using some pre-processing techniques. Another important step is segmentation, which involves separating unwanted organs from medical images to obtain region of interest. This article presents an effective segmentation technique using Marker Controlled Watershed Algorithm. To evaluate the effectiveness of proposed method dice score, volume overlapping error, relative volume difference, and Jaccard Index are used as evaluation parameters.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311815","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

Implementation of Lane detection in Autonomous vehicle using FPGA 基于FPGA的自动驾驶车辆车道检测实现

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093650

Gopinathan M, S. R, A. Kalaiselvi, U. V., M. A

{"title":"Implementation of Lane detection in Autonomous vehicle using FPGA","authors":"Gopinathan M, S. R, A. Kalaiselvi, U. V., M. A","doi":"10.1109/ICETEMS56252.2022.10093650","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093650","url":null,"abstract":"Lane Detection and Tracking have become an active research area for the past two decades, primarily in driver assistance applications. It is also an essential method for imaginative, predictive, primarily based fully autonomous vehicle devices. The main motto is to avoid human error, increase safety, reduce road accidents, and thereby save lives. Intoday’s autonomous vehicles, a variety of Advanced Driving Assistance Systems (ADAS) are used. Lane departure warning system is important ADAS which alerts the driver when inadvertent lane switching occurs. First, the image dataset is taken, and then the grayscale conversion takes place. The Gaussian filter reduces the impact of image noise. The Canny edge detection method and Sobel edge detection are then used to detect edges. The Edge detection method that detects a broad and wide range of edges in the images by using a multi degree system of rules. By using Hough transform method to detect the lanes after the edge detection process was done. Finally, the algorithms are implemented in FPGA and stored in BRAM (Block Random Access Memory) which helps to store the large amount of data in FPGA (Field Programmable Gate Array) technology Zynq 7000 SoC (System-on-Chips) using a platform known as Vivado HLS (High-level synthesis). The algorithm in an autonomous vehicle is formed on computer vision technique to find the road lanes and locate the driving lane. The algorithmsare executed to perform specific tasks on images to achieve highperformance, efficiency, and execution speed in terms of lane detection progress has been obtained.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121487077","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