2022 2nd Asian Conference on Innovation in Technology (ASIANCON)最新文献

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9908624

Kiran Kumar Godugu, Suseela Vappangi

{"title":"Performance Analysis of Wideband Spectrum Sensing (WSS) in Cognitive Radio Networks (CRN) over Erroneous Sensing and Reporting Channels","authors":"Kiran Kumar Godugu, Suseela Vappangi","doi":"10.1109/ASIANCON55314.2022.9908624","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908624","url":null,"abstract":"With the aid of cooperative spectrum sensing (CSS), the performance characteristics of non-cooperative cognitive radio (CR) nodes can be substantially improved under the scenario of shadowing, fading, uncertainties in the channel, etc. Predominantly, the CSS scheme decreases the probabilities of miss-detection and false alarm considerably. The CSS is also mapped into multiple primary users (PU) detection schemes using orthogonal frequency division multiplexing (OFDM) technique. In this paper, we introduce a novel multi-band joint detection scheme known as wide-band spectrum sensing (WSS) in cognitive radio networks (CRN) that jointly detects various available channels rather than one frequency at a time. The proposed WSS not only enhances the dynamic spectrum utilization but also lowers the interference to the PUs. Furthermore, by lowering the PU’s interference over AWGN channel, the optimal solutions for WSS under non-cooperative and cooperative systems are investigated. This work formulates the mathematical framework for measuring miss-detection as well as total error probability (TEP). The derived analytical expressions are validated through MATLAB-based simulations. From the simulated results, it can be deduced that the proposed WSS scheme significantly enhances the performance of the system when compared with the conventional CSS schemes.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998409","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

Calibration of Cross Capacitive Sensor used for Transformer Oil Testing 变压器油试验用交叉电容式传感器的标定

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9908609

Mahammad Aamir Mahmood, Obaidur Rahman, S. A. Khan

引用次数: 1

Design of QAM in 45nm Using Cadence Tool 利用Cadence工具设计45nm的QAM

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909362

Ravi Hosamani, Govindaraj Tonape, Harshavardhana Mannur, Basavaraj Neelagund

引用次数: 1

Investigation on Switching Structure Geometries and their Impact on Electromagnetic Response of RF-MEMS Capacitive Switch RF-MEMS电容开关结构几何形状及其对电磁响应影响的研究

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909237

R. Kumari, M. Angira

{"title":"Investigation on Switching Structure Geometries and their Impact on Electromagnetic Response of RF-MEMS Capacitive Switch","authors":"R. Kumari, M. Angira","doi":"10.1109/ASIANCON55314.2022.9909237","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909237","url":null,"abstract":"This paper explores the impact of various switching structure geometries on the RF performance of a shunt capacitive switch. The switch geometries have been analysed as an electrical model in order to develop an understanding of the effect of geometrical changes in terms of scattering (S) parameters which affects the RF response of the switch. A RF-MEMS capacitive switch is built into a finite element method (FEM) based RF tool and the effect of meandering, actuation area, and further dielectric thickness have been analysed in this work. It is investigated that with an increase in the number of meanders, switch resistance and inductance have increased and thus the isolation peak is shifted towards low frequencies compared to the design having a low number of meanders. The switch with a smaller central overlap area has a good on-state response compared to the design having more central overlap area. Furthermore, reduction of dielectric thickness affects unactuated state response by tuning isolation to lower frequencies with a wider range of under 20 dB response points. As a result of the understandings gained from analysed structural modifications, designers can optimize the RF performance of the capacitive shunt switch in the desired frequency range.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533614","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

Study and Analysis of Field Oriented Control of Brushless DC Motor Drive using Hysteresis Current Control Technique 基于磁滞电流控制技术的无刷直流电动机磁场定向控制研究与分析

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909355

Gopal Gupta, M. Sreejeth

引用次数: 0

A Novel Approach to Chest Disease Detection from Chest X-Ray Images 从胸部 X 射线图像检测胸部疾病的新方法

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909156

Swati Patil, Snehal R. Rathi, Vaibhav Mankar

{"title":"A Novel Approach to Chest Disease Detection from Chest X-Ray Images","authors":"Swati Patil, Snehal R. Rathi, Vaibhav Mankar","doi":"10.1109/ASIANCON55314.2022.9909156","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909156","url":null,"abstract":"Chest diseases are one of the common diseases in humans, many viral borne diseases also attack the respiratory systems. In such situations, it becomes very important to detect and cure the disease as soon as possible. The chest x-ray is one of the most important sources to detect and identify chest disease. However, detecting the disease can be complicated and may require several medical tests. With the advancement in computer vision technologies, machines can extract information from images. We have trained the computer vision-based models for the task of phenomena disease delectation from the chest x-ray images. In this research paper, we present the novel approach for disease delectation using the ribs extractor framework. The ribs extractor model presented in this research paper was developed using the Conditional generative adversarial network. We have used CNN, densenet, resnet, VGG, and vision, transformer models. We have employed the transfer learning techniques for densenet, resnet, and VGG models. We also present the comparative study of the computer vision models without and with ribs extractor. Finally, we discuss the future scope and suggest ways to improve computer-aided disease detection. We hope that this research helps the research community to better understand medical image centric disease detection.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851195","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

Modelling of 2D Photonic Crystal based Micro Ring Resonator Sensor for the Detection of Malaria 基于二维光子晶体的微环谐振器疟疾检测传感器建模

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909063

Rupinder Kaur, Gaurav Kumar Bharti, Ashutosh Tripathi

引用次数: 4

Open Source Python Libraries: An Application to Seismic Reservoir Characterization 开源Python库:地震储层表征的应用

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9909402

Sayantan Shaw

{"title":"Open Source Python Libraries: An Application to Seismic Reservoir Characterization","authors":"Sayantan Shaw","doi":"10.1109/ASIANCON55314.2022.9909402","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909402","url":null,"abstract":"Open source python libraries to implement linear operators are finding widespread applications in solving different problems of seismic data processing and interpretation. One such attempt has been made to invert acoustic impedance of layered earth structure from seismic reflection response observed on the earth’s surface. The present algorithm combines two established approaches, viz. i) using correlation as the adjoint operator of convolution and ii) using conjugate gradient solver as an alternative to matrix inversion-a commonly used method to solve constrained optimization problems. Time integration of the derived reflectivity from the inversion of observed seismic amplitude using the above two steps gives rise to bandpass acoustic impedance, thereby, enhancing the interpretive value of the results. The proposed algorithm has been tested on a two-dimensional wedge model and found to fare well for both noise free and noise corrupted synthetic data. Application on real field example from Teapot Dome 3D survey shows that the derived band pass acoustic impedance matches favorably with the acoustic impedance measured in a borehole.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126185544","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

Ontology Construction and Knowledge Graph for Cross Domain Unstructured Text 跨领域非结构化文本本体构建与知识图谱

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9908942

Shital Kakad, Sudhir Dhage

引用次数: 0

Malaria Cell Image Classification using Autoencoder 基于自编码器的疟疾细胞图像分类

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI: 10.1109/ASIANCON55314.2022.9908823

S. Bobde, Siddharth Shenoy, Omkar Shete, Omkar Shinde, Harsh Jhunjhunuwala

{"title":"Malaria Cell Image Classification using Autoencoder","authors":"S. Bobde, Siddharth Shenoy, Omkar Shete, Omkar Shinde, Harsh Jhunjhunuwala","doi":"10.1109/ASIANCON55314.2022.9908823","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908823","url":null,"abstract":"Over the years, many researchers have sought to use Deep Learning techniques to detect the malaria-infected cells in blood sample images. Although extremely dangerous, the spread of malaria can be restricted when treated in the early stages. This serves as an impetus for implementing an accurate solution for the detection of malaria that can replace the traditional manual process. The manual process consists of visually examining the blood samples and counting the parasitized and non-parasitized red blood cells. This process is extremely time-consuming, requires the presence of trained medical personnel, and is susceptible to human errors. With these aspects in mind, we aimed to develop a solution that could be used by medical staff with minimal training, thereby saving on time and labour. Having studied various research papers related to the use of Deep Learning techniques for the detection of malaria, we have proposed a model that addresses the gaps we identified in these systems while not compromising on the accuracy of the results. Our proposed model comprises a pre-processing module, the frozen Encoder of an Autoencoder model, a few dense CNN layers, and the classifier (Softmax).","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114935529","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