2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)最新文献_第7页

Flower Image Classification Using Convolutional Neural Network 基于卷积神经网络的花卉图像分类

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768635

Sandip Desai, C. Gode, P. Fulzele

引用次数: 4

Capacitive Analysis of Superjunction Vertical IGBT with Gate Engineering 基于栅极工程的超结垂直IGBT电容性分析

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768535

Namrata Gupta, Alok Naugarhiya

{"title":"Capacitive Analysis of Superjunction Vertical IGBT with Gate Engineering","authors":"Namrata Gupta, Alok Naugarhiya","doi":"10.1109/ICEEICT53079.2022.9768535","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768535","url":null,"abstract":"This paper proposed a 1.4kV-class superjunction vertical IGBT (DMG-SJIGBT) with gate workfunction variation along with stepped oxide thickness. Two distinct workfunction materials, P+ and N+ polysilicon are used as gate poly and oxide thickness is varied in x-direction. All the stepped oxide is connected via metal on the top. The proposed structure's gate oxide is narrow at the emitter and wide at the collector to improve the device performance. It has been discovered that the ON-resistance (Ron.A) of the DMG-SJIGBT has been diminished by 23% as a result of this structural modification. Gate engineering improves the transconductivity by increasing the gate-emitter capacitance (CGE) and reducing the gate-collector capacitance (CGC), which lowers switching delay. To improve performance metrics, the gate length has been optimized. A mixed mode module of SILVACO has used to perform capacitance-voltage analysis. Further the gate charge and FOM has also been measured and indicating 36% and 34% respectively reduction for proposed device signifying enhanced performance.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219601","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

Entity Recognition in Indian Sculpture using CLAHE and machine learning 基于CLAHE和机器学习的印度雕塑实体识别

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768565

Ayush Dalara, Dr. Sindhu C, R. Vasanth

{"title":"Entity Recognition in Indian Sculpture using CLAHE and machine learning","authors":"Ayush Dalara, Dr. Sindhu C, R. Vasanth","doi":"10.1109/ICEEICT53079.2022.9768565","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768565","url":null,"abstract":"Sculpture recognition is one of the most challenging problems in the image classification field due to the high variations in the design of various sculptures. In order to classify the Indian entity's sculpture, we require images from multiple perspectives with different orientations of the structure. This research conducts a comparative study by combining various algorithms for the purpose of sculpture recognition based on their features. The SIFT (Scale Invariant Feature Transform) algorithm was used to find descriptors for the key points detected and it was paired with various classifiers (K-Nearest Neighbors, Support Vector Machine, Artificial Neural Network) by using the “Min key”, “Max key padding”, “Mean key padding”, “Median key padding” and “Mode key padding” approach for efficiency testing purposes. CNNs (Convolutional Neural Networks) were also tested for the same. The models were trained on various representations of different Indian sculptures, gathered from various sources, signifying our cultural diversity. Experiments were carried out on the manually acquired data set that consists of 15 different sculpture classes, where each sculpture class consists of 150 images for training and 20 for testing. An attempt was also made to increase the efficiency of these models by the application of CLAHE (Contrast Limited Adaptive Histogram Equalization). The experiments showed the performance of these models when they were trained on various representations of sculpture images. For 15 different sculpture classes, the maximum accuracy achieved was a respectable 70.66% utilizing the CLAHE along with the CNN model. However, the accuracy values of non-CNN-based approaches were substandard.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133396832","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

Comparative Performance Analysis of Spatial Domain Filters for Removing Speckle Noise in SAR images 空域滤波器去除SAR图像散斑噪声的性能比较分析

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768585

Ranjith Kumar Painam, M. Suchetha

{"title":"Comparative Performance Analysis of Spatial Domain Filters for Removing Speckle Noise in SAR images","authors":"Ranjith Kumar Painam, M. Suchetha","doi":"10.1109/ICEEICT53079.2022.9768585","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768585","url":null,"abstract":"In synthetic aperture radar (SAR) images, speckle noise is common, and SAR data is handled coherently. Multiplicative noise is another name for speckle. The purpose of this paper is to compare several approaches for reducing speckle noise. These techniques will be used to demonstrate trends and numerous different approaches that have evolved over the years. The technical aspects of the various adaptive spatial domain filters were discussed in this paper, and they were summarised for use in removing speckle noise from SAR images. ENL, SSI, and SSIM are the performance parameters that have been quantitatively and qualitatively analysed. It indicates that the adaptive filters with varied window sizes can be used to eliminate speckle and that noise suppression is more effective in SAR images. It may be enhanced to incorporate several machine learning techniques to optimise the result in order to improve various performance parameters. The experimental results show that the structural details are better preserved while speckle noise is suppressed.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133939918","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

System-on-chip based Automated Optic Disk Segmentation in Retinal Images 基于片上系统的视网膜图像自动视盘分割

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768415

N. A. Kumar, G. S. Satapathi, M. Anuradha

引用次数: 0

Mechatronics Design and Kinematic Simulation of UTP-ISR01 Robot with 6-DOF Anthropomorphic Configuration for Flexible Wall Painting 六自由度拟人化柔性墙体涂装机器人UTP-ISR01的机电一体化设计与运动学仿真

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768599

J. Cornejo, Juan Palacios, Antonio Escobar, Yordan Torres

{"title":"Mechatronics Design and Kinematic Simulation of UTP-ISR01 Robot with 6-DOF Anthropomorphic Configuration for Flexible Wall Painting","authors":"J. Cornejo, Juan Palacios, Antonio Escobar, Yordan Torres","doi":"10.1109/ICEEICT53079.2022.9768599","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768599","url":null,"abstract":"In the year 2020, countries were in a race against the spread of Covid-19, leading to major deficiencies in the areas of health, economy, and construction. For this reason, the robotics industry emerged as a viable and safe option to perform important and critical tasks in different sectors, one of them is the real estate. For this reason, a robotic arm was designed to wall painting, this study is supported by the mechatronics engineering department of the Universidad Tecnológica del Perú. The designed robot called: “UTP-ISR01” has 6 axes and a linear displacement of 2.8 m with turns of 0.24 sec/60°. For the calculation of the forward kinematics the Denavit Hartenberg method was used, then the homogeneous transformation matrices were used to calculate the rotation and translation movements of the robotic manipulator. With the equations identified in the inverse kinematics, the positions and orientations of the robot were plotted, as well as the dimensions of the working area. The CAD design was carried out with engineering software, such as Autodesk Inventor for the mechanical design and assembly of the parts. In addition, with RoboDK software, kinematic simulations and analysis were performed. In conclusion, the robotic arm will reduce the delivery times of the apartments built by the real estate companies.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127704083","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: 12

An Enhanced and highly Authenticated Medical Treatment for an Emergency Management System using Cloud Computing 基于云计算的应急管理系统增强型高认证医疗救治

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768434

K. Ramaabirami, G. Ram Sundar

{"title":"An Enhanced and highly Authenticated Medical Treatment for an Emergency Management System using Cloud Computing","authors":"K. Ramaabirami, G. Ram Sundar","doi":"10.1109/ICEEICT53079.2022.9768434","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768434","url":null,"abstract":"The medical system is a developing innovation engine and spreads far more advanced, like humans care and offer a variety of choices for consumer health. Health is an important factor for human resource development which plays an important role in improving quality of the people. Because they are the active players in the economy development. Better prosperity will contribute to the improvement of economic situation of the poor and overall improvement of the country. When analysing the patient support system, every patient is only connected with their respective health care. During an emergency, it is impossible to identify a patient's history and leads to major loss in human lives. Thiswork focus on cloud computing to achieve an efficient maintenance of patient's history. This helps to save the life of a patient on time and can avoid the medical losses. This core medical system mainly focuses on effective maintenance of patient's history, timely assistance, reduces the medical expenditures, and minimizes data duplication and prescribing or reference. This medical care system is needed to improve the quality and quantity of the health care system. The proposed system will be more useful with the help of patient record through monitoring and evaluation system during emergency cases.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127870","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

Modeling and Analysis of Hybrid Quadratic Boost Converter in MATLAB/Simulink Environment 混合二次升压变换器在MATLAB/Simulink环境下的建模与分析

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768404

Ramprasath Selvaraj, K. Chittibabu, Muthumariyammal Anandharaj, Rameshbabu Perumal

引用次数: 0

A Semantic Approach for Computing Speech Emotion Text Classification Using Machine Learning Algorithms 使用机器学习算法计算语音情感文本分类的语义方法

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768465

Shushma Gb, I. Jacob

引用次数: 1

A Pragmatic Glaucoma Detection Based On Deep Neural Network Strategy 基于深度神经网络策略的实用青光眼检测

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI: 10.1109/ICEEICT53079.2022.9768405

M. S. Eswari, S. Balamurali

{"title":"A Pragmatic Glaucoma Detection Based On Deep Neural Network Strategy","authors":"M. S. Eswari, S. Balamurali","doi":"10.1109/ICEEICT53079.2022.9768405","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768405","url":null,"abstract":"Glaucoma is a group of diseases in which the nerve linking the eyes to the brain becomes destroyed, typically as a result of excessive intraocular pressure. The much more prevalent type of glaucoma diseases frequently manifests itself through gradual eyesight impairment. This kind of visual loss due to glaucoma is called open angle glaucoma and although this kind of angular glaucoma is uncommon, it is a clinical crisis with some indications such as eye pain and anxiety as well as acute vision disruption. In this paper, a new deep learning mechanism is used to identify the glaucoma disease in an intense manner, which is called Deep Neural Classification Network (DNCN). This proposed approach identifies the glaucoma disease efficiently by analyzing the retinal images with respect to two form factors such as Optical Coherence Tomography (OCT) and Retinal Fundus Images. The proposed DNCN model processes the retinal image based on the different processing procedures such as pre-processing, feature extraction, filtration and classification, in which it assures the accuracy ratio of 97.3% in outcome with the error rate of 0.27%.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426742","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