2022 IEEE Silchar Subsection Conference (SILCON)最新文献

SILCON 2022 List of Authors SILCON 2022作者名单

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/silcon55242.2022.10028781

引用次数: 0

Multi-Band DP Antenna with Band Stop Filtering Characteristics for MIMO BS Applications MIMO BS应用中带阻滤波特性的多频带DP天线

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028925

Balakrishna Islavath

引用次数: 0

Control Design for Vertical Wall-perching of Aerial Robot with Event-Triggered Control Approach 基于事件触发控制方法的航空机器人垂直壁挂控制设计

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028851

S. Gupta, J. K. Mohanta, L. Behera, S. Samanta

引用次数: 6

Analysis of UAV-IRS system with Rician fading 具有时域衰落的UAV-IRS系统分析

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028847

R. D. Devapriya, P. Sudharsan, C. Tellambura

引用次数: 0

Magnetic metasurface add-ons-A route towards making MRI more efficient, affordable and accessible 磁性超表面附加组件——使MRI更高效、更经济、更容易获得的途径

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028836

Priyanka Das, Jegyasu Gupta, D. Sikdar, R. Bhattacharjee

{"title":"Magnetic metasurface add-ons-A route towards making MRI more efficient, affordable and accessible","authors":"Priyanka Das, Jegyasu Gupta, D. Sikdar, R. Bhattacharjee","doi":"10.1109/SILCON55242.2022.10028836","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028836","url":null,"abstract":"Magnetic resonance imaging (MRI) is a popular non-invasive diagnostic tool used for detecting health problems in human bodies. 90% of the world population do not have access to MRI due to high cost involved in it. High field MRI (3T and above) involves bulky and expensive equipments which are unaffordable in economically backward nations. Presently, 1.5T MRI has the largest market share, at 47 percent by value and 52 percent share by volume, since it provides adequate image quality at a comparatively low cost. However, the scan-time in 1.5T is quite long. Lower scan-time in 1.5T MRI can be obtained by increasing the signal-to-noise ratio (SNR). One of the techniques of improving the SNR of MRI is deployment of metasurfaces for enhancing the RF magnetic field in the region of interest (ROI). In this work, we demonstrate the design of a single-layered thin metasurface which exhibits resonance at 63.8 MHz, the Larmor frequency of 1.5T MRI. Numerical simulations using finite integration technique show twenty-fold increase of magnetic flux density on the surface of a human phantom. The increase in the RF magnetic flux density results in improvement of signal-to-noise ratio (SNR) which can make MRI more efficient, affordable and accessible.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123670744","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: 2

A Novel V-shaped slotted single, dual band frequency reconfigurable antenna for C-band / 5G applications 一种新型的v形开槽单、双频可重构天线，适用于c波段/ 5G应用

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028837

M. Ganesh, T. Sabapathy, Raghava Srinivasa Nallanthighal

{"title":"A Novel V-shaped slotted single, dual band frequency reconfigurable antenna for C-band / 5G applications","authors":"M. Ganesh, T. Sabapathy, Raghava Srinivasa Nallanthighal","doi":"10.1109/SILCON55242.2022.10028837","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028837","url":null,"abstract":"In this paper, a novel V-shaped slotted single, dual band frequency reconfigurable antenna is presented for upcoming 5G and C-band applications. The antenna operates around 3.9 GHz (5G), around 5.5 GHz Wireless Local Area Networks (WLAN) and 6.37 GHz for C-band applications. For obtaining the reconfigurability in the designed structure a V-shaped slot is etched on hexagonal shape radiating element and a PIN diode is adopted. If the PIN diode is ON state, the proposed radiating structure provides dual band operations in the frequency range of 3.49-4.46 GHz with centre frequency around 3.9 GHz and 5.59-7.59 GHz with centre frequency around 6.37 GHz with a bandwidth of 970 MHz, 2000 MHz respectively, else provides a single band operation in the frequency range of 4.03-7.14 GHz with centre frequency around 5.5 GHz with bandwidth of 3110 MHz. A hexagonal shape radiating patch element is incorporated on FR-4 substrate with overall size of (30 x 28 x 1.6) mm3. A comparative analysis with cutting edge work demonstrates that the presented designed antenna structure has the advantages of compact size, improved bandwidth and gain.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127881268","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

Synthesized speech quality measurement of an Improved Fundamental Frequency (Pitch) Detection Algorithm 一种改进基频(基音)检测算法的合成语音质量测量

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028929

Surinder Kumar, P. Tiwari, P. Agarwal, Upendra Kumar Acharya

引用次数: 0

In0.53Ga0.47As Nanosheet MOSFETs with Self-Heating Effects 具有自热效应的纳米片mosfet

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028932

P. Srinivas, Arun Kumar, P. Tiwari

引用次数: 0

SILCON 2022 Content of Conference Proceedings SILCON 2022会议记录内容

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/silcon55242.2022.10028881

引用次数: 0

Multiclass Signal Quality Assessment of Electrocardiogram using Entropy-based Features and Machine Learning Technique 基于熵特征和机器学习技术的多类心电图信号质量评估

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028787

Priya Sardar, Rajarshi Gupta, S. Mukhopadhyay

{"title":"Multiclass Signal Quality Assessment of Electrocardiogram using Entropy-based Features and Machine Learning Technique","authors":"Priya Sardar, Rajarshi Gupta, S. Mukhopadhyay","doi":"10.1109/SILCON55242.2022.10028787","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028787","url":null,"abstract":"Electrocardiology (ECG) is useful for deriving a multitude of cardiac functions, and widely used for ambulatory health monitoring. The main hindrance for automatic measurement utilizing ECG is signal quality which gets affected with various artifacts like patient motion, poor skin-electrode contact. While various of ECG signal quality assessment (SQA) techniques are available, most of the works use computationally intensive and memory demanding techniques like wavelet, autoencoders, mode decomposition techniques etc. This paper exhaustively uses various entropy features, which are information rich, computationally lightweight and promising for the application. Secondly, evidence of multiclass ECG SQA is occasional. This paper describes the use of 20 entropy features for 3-class ECG SQA. Total 400 records from Computing in Cardiology (CinC) 2011 challenge, each of 6 leads and of 10 s duration per lead was evaluated, with a blind test accuracy of 75.43% for 3 class and 97% for 2-class SQA. It was found that the entropy features outperform the wavelet and AE features, and random forest provides superior performance over support vector machine and k-NN. The present research provides improved results over few published works on ECG SQA using CinC2011 dataset.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114788369","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