2023 4th International Conference for Emerging Technology (INCET)最新文献_第9页

Image de-noising of Ultrasound Carotid artery images using various filters 应用各种滤波器对超声颈动脉图像进行降噪

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170198

Prathiba Jonnala, G. Reddy

{"title":"Image de-noising of Ultrasound Carotid artery images using various filters","authors":"Prathiba Jonnala, G. Reddy","doi":"10.1109/INCET57972.2023.10170198","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170198","url":null,"abstract":"Stroke is one of the most important causes of death in recent days. The accumulation of plaque in the carotid artery helps in identifying the possibility of cardiovascular disease and long-term disabilities. Atherosclerosis is a disease caused by the accumulation of plaque in the carotid artery of a person. B-mode ultrasound imaging is the imaging modality that is used for early prediction of this disease. Ultrasound images are affected by speckle noise, which degrades the quality of the image. The purpose of this article is to give a widespread review and implementation of various de-noising methods to de-noise the images for further processing which aids in identifying stroke, atherosclerosis and related cardiovascular diseases. Gaussian, Anisotropic, Bilateral, Wavelet, Non-Local Mean, Total Variation, Block matching 3D filtering techniques were used to remove the speckle noise in the ultrasound B-mode carotid artery images. Therefore, work is required to reduce noise without losing main image features. Various strategies for reducing the noise in the US B-mode images have been suggested in the existing body of knowledge. Each technique has pros and cons of its own. In this article, we presented some significant image de-noising studies. First, we give the formulation of the image de-noising problem, and then outlined several image de-noising techniques. Also, we go over the features of these techniques. The effectiveness of different preprocessing approaches is compared based on performance criteria like Peak Signal to Noise Ratio (PSNR) and Speckle Suppression Index (SSI). Finally, we compared the performance of conventional de-noising filters and the results are presented.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641761","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 PMOS Biased Sense Amplifier Using Tanner EDA tool 利用Tanner EDA工具实现PMOS偏置感测放大器

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170696

Deepak Kommana, G. Kumar, R. Vidyadhar, Mahalakshmi Bellamkonda, Saikethan Goundla

{"title":"Implementation of PMOS Biased Sense Amplifier Using Tanner EDA tool","authors":"Deepak Kommana, G. Kumar, R. Vidyadhar, Mahalakshmi Bellamkonda, Saikethan Goundla","doi":"10.1109/INCET57972.2023.10170696","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170696","url":null,"abstract":"Sense amplifiers contribute to the effectiveness, practicality, and durability of memory devices. In the following paper, two new sense amplifier schematics seemed to enhance the performance of memory circuits. The suggested circuits, as opposed to traditional circuits, utilize a PMOS biasing strategy that allows for high output impedance while minimizing sensing delay and power consumption. The circuits function similarly to conventional sense amplifiers, however these circuits have been found to exhibit higher efficiency of their absorbed power and sensing delay. Presented sense amplifiers’ performance was evaluated through simulations leveraging Tanner EDA software and a 180nm technology. In accordance with simulations, the presented circuits functioned consistently with the theoretical analysis, demonstrating their sound design. The results of this study suggest that the sense amplifiers that have been suggested might improve the performance and usefulness of memory circuits found in a number of electronic devices. The reduced power consumption and sensor latency may lead to longer battery life and faster processing times, which may enhance user experience.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133930579","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

ANFIS Based Bidirectional Electric Vehicle Charger for Grid-to-Vehicle and Vehicle-to-Grid Connectivity 基于ANFIS的车-网双向充电器及车-网连接

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170344

Pulkit Kumar, Manjeet Singh, Amandeep Gill

引用次数: 8

Analysis Techniques Artificial intelligence for Detection of Cyber Security Risks in a Communication and Information Security 基于人工智能的通信与信息安全网络安全风险检测分析技术

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170088

Vishnu P Parandhaman

{"title":"Analysis Techniques Artificial intelligence for Detection of Cyber Security Risks in a Communication and Information Security","authors":"Vishnu P Parandhaman","doi":"10.1109/INCET57972.2023.10170088","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170088","url":null,"abstract":"The Artificial intelligence Ubiquitous power internet of things (UPIoT) for the Energy Internet not only advances its digital and intelligent level, but also introduces unpredictable social variables, creating a new setting for the emergence and spread of its cyber risks. Proper comprehension and assessment of the UPIoT's cyber security risk is a crucial assurance for Energy Internet Construction. To assess the possible risk, a technique to assess and quantify the cyber security risk of UPIoT is proposed. The network's cyber security risk assessment is assessed along with the significance of the network unit using the AHP method and security status to estimate risk. According to experimental findings, this method is capable of identifying the main network hazards as well as the security state of each network unit. The increased connectivity will also provide threat hackers access to a larger attack surface. Cyber attacks on electricity networks have in the past resulted in widespread blackouts. In this study, we examined the network infrastructure underlying energy grids in order to identify the fundamental factors driving power grid computer networks. A Digital Substation's Communication and Information Security Assessment.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116991520","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

Analyzing Robustness and Accuracy of Different Controllers for Underactuated Ships 欠驱动船舶不同控制器鲁棒性和精度分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170098

Anand Mohan, Abhilash Sharma Somayajula

引用次数: 1

Face Mask Detection Using Convolutional Neural Network 基于卷积神经网络的面罩检测

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170036

R. Raut, Siddharth Shelke, Atharva Nanavate, Dhruv Notwani

{"title":"Face Mask Detection Using Convolutional Neural Network","authors":"R. Raut, Siddharth Shelke, Atharva Nanavate, Dhruv Notwani","doi":"10.1109/INCET57972.2023.10170036","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170036","url":null,"abstract":"The creation of a real-time face mask detection system based on machine learning is the main goal of this research. With the global COVID-19 pandemic, face mask use has become essential for safety and adherence to regulations. The need to identify individuals not complying with the safety measures in public transit, retail settings, and healthcare facilities inspired this project. The goal is to develop a reliable face mask identification algorithm that performs well regardless of the user's mask type, facial angle, or lighting conditions. This research proposes the use of a Convolutional Neural Network based on deep learning, which is trained on a dataset of images of people wearing/not wearing face masks. The TensorFlow framework and Keras API are used to create the model. Transfer learning is also employed by adapting the MobileNetV2 architecture to improve the model's accuracy with less training data. The effectiveness of the proposed model is assessed on two datasets, one containing real-world photos and the other containing artificially generated images. The model performs well, achieving an accuracy rate of 97.5 per cent and 96.8 per cent, respectively, in identifying face masks in real-time. The proposed system has real-world applicability in settings such as hospitals, airports, and other public spaces, where adherence to safety measures is critical. The model can be further improved to detect other types of Personal Protective Equipment such as gloves and face shields. The project concludes with a CNN-based face mask detection algorithm capable of determining in real-time if a person has a mask on or not. The goal is to develop a reliable face mask identification algorithm that performs well regardless of the user's mask type, facial angle, or lighting conditions.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117003279","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

Employee Attrition Prediction using Artificial Neural Networks 基于人工神经网络的员工流失预测

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170676

Akansha Chaurasia, Shreyas Kadam, Kalyani Bhagat, Shreenath Gauda, Priyanka Shingane

{"title":"Employee Attrition Prediction using Artificial Neural Networks","authors":"Akansha Chaurasia, Shreyas Kadam, Kalyani Bhagat, Shreenath Gauda, Priyanka Shingane","doi":"10.1109/INCET57972.2023.10170676","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170676","url":null,"abstract":"Employee attrition is a significant concern for businesses as it can negatively impact productivity, profitability, and overall success. Employee turnover can be costly and time-consuming, and it can also result in the loss of valuable talent and knowledge. It is important for businesses to predict and understand employee attrition so that they can take proactive measures to retain employees. During Covid, the organisations faced issues due to employees leaving uncertainly, making it difficult for the HR Department to hire new people quickly and the companies had to spend a huge fortune to fill the void. It is important for businesses to monitor and evaluate the effectiveness of retention strategies over time to ensure that they are achieving the desired outcomes. Artificial Intelligence has proved to be of great use in predicting how likely an employee is to leave the organization. By using predictive analytics to identify employees who are at risk of leaving and developing targeted retention strategies, businesses can reduce the negative impact of employee attrition and create a more stable and productive workforce. Our system assists with foreseeing the rate at which employees are stopping position in light of getting logical information available and utilize different Artificial Neural Networks to diminish prediction error. The main objective of this model is to study employee attrition in an organization, to find out the issues of the representatives in the enterprise, and to distinguish how maintenance procedure lessens worker turnover.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114900083","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

A Systematic Review on the Identification and Classification of Patterns in Microservices 微服务模式识别与分类的系统综述

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170375

N. A, Shoney Sebastian

引用次数: 0

Heart Disease Prediction Using a Soft Voting Ensemble of Gradient Boosting Models, RandomForest, and Gaussian Naive Bayes 使用梯度增强模型、随机森林和高斯朴素贝叶斯的软投票集成进行心脏病预测

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170399

Kaustav Sen, Bindu Verma

引用次数: 0

An Efficient and Low Power 45nm CMOS Based R-2R DAC 基于45纳米CMOS的高效低功耗R-2R DAC

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170648

S. Rajendra Prasad, Namani Kavya Sree, Kondra Omkumar, Kothapalli Srujana

{"title":"An Efficient and Low Power 45nm CMOS Based R-2R DAC","authors":"S. Rajendra Prasad, Namani Kavya Sree, Kondra Omkumar, Kothapalli Srujana","doi":"10.1109/INCET57972.2023.10170648","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170648","url":null,"abstract":"The main purpose of the Digital to Analog converter (DAC) is to act as an interface between the digital device and the analog device. Which converts the binary digital values(0,1) into a series of analog voltages. Each type of DAC has its own set of advantages and disadvantages, It is not possible to attain all positive aspects in one circuit. By considering different parameters like power, resolution etc., we have designed a 4-bit CMOS based R-2R DAC in 45nm technology. In this paper, we are using two stage operational amplifier(opamp) in order to enhance the performance of the R-2R DAC. A differential amplifier stage and a gain stage form the two stage opamp, and two values of resistors R and 2R are invoked to form the R-2R ladder network. This two stage opamp and 4-bit R-2R ladder network are used together to design a 4-bit R-2R DAC. Then This DAC is simulated using the Synopsys H-spice tool and based on the simulation results, analysis is performed by considering various parameters like accuracy-Integral nonlinearity (INL) and Differential nonlinearity(DNL) errors, resolution, average, static, and dynamic powers, and settling time. The proposed R-2R DAC has low power and less INL, and DNL errors which are efficient when compared with the related work.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571611","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