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Detection of Diabetic Retinopathy by Segmentation using U-Net with Hyper-Parameter Tuning 超参数调谐U-Net分割检测糖尿病视网膜病变
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151473
R. Sowmiya, R. Kalpana
{"title":"Detection of Diabetic Retinopathy by Segmentation using U-Net with Hyper-Parameter Tuning","authors":"R. Sowmiya, R. Kalpana","doi":"10.1109/ICSTSN57873.2023.10151473","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151473","url":null,"abstract":"Diabetic Retinopathy (DR) is a retinal disease that occurs in Diabetes Mellitus (DM) patients due to damage to the retinal blood vessels. Among the micro and macrovascular, DR is the major complaint. The effect of DR can range from impairment of vision to loss of vision based on its severity. Ophthalmic complications of uncontrolled DM are dry eye, recurrent infection of the lid, Diabetic macular edema, cataracts, and glaucoma. Diagnosing the disease by detecting the lesion is to be done to find the severity level or grades of DR. Various automatic approaches based on deep learning are available to detect the lesions. In this paper, the U-Net algorithm with hyperparameter tuning was used to identify the lesions present in the retina and obtained an accuracy of 91.23%, 92% of sensitivity, and 93.37% specificity with the private dataset","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130526564","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
Weather image classification using EfficientNet and Dual Attention Block 利用EfficientNet和Dual Attention Block进行天气图像分类
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151564
R. U. Rani, Jagadeesh Kakarla, B. Sundar
{"title":"Weather image classification using EfficientNet and Dual Attention Block","authors":"R. U. Rani, Jagadeesh Kakarla, B. Sundar","doi":"10.1109/ICSTSN57873.2023.10151564","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151564","url":null,"abstract":"Classification of Weather images is the dominant research task in weather classification. Especially for applications like climate forecasting, intelligent traffic signaling, and autonomous driving systems, utilizes weather type prediction as the primary task. Weather image classification is an important task due to the diverse properties of weather conditions. We propose an EfficientNet and Dual Attention Block model to perform five-class weather image classification. We use a pretrained EfficientNet to extract features from weather images. The features are re-convoluted using a dual attention block, and a global pooling followed by a dense network for the final classification. The proposed model is evaluated using a publicly accessible weather image dataset from kaggle consisting of 1530 images. Our proposed model outperforms existing pre-trained models with 96.73% of accuracy.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131029250","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
Design of a VLSI Router for the Faster Data Transmission Using Buffer 一种利用缓冲器实现更快数据传输的VLSI路由器设计
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151568
Subash Gogula, V. Damodaran
{"title":"Design of a VLSI Router for the Faster Data Transmission Using Buffer","authors":"Subash Gogula, V. Damodaran","doi":"10.1109/ICSTSN57873.2023.10151568","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151568","url":null,"abstract":"The design and implementation of efficient routing architectures is a critical aspect of modern communication systems. This paper proposes a modified VLSI-based router architecture that is optimized for high-speed data transfer and low power consumption. The proposed architecture utilizes advanced routing algorithms and state-of-the-art VLSI design techniques to achieve a high level of performance and scalability. The performance of the design is evaluated through simulations. The simulation was carried out in a software called Xilinx and it is written using VHDL language. Design contains blocks called Arbiter, Cross bar and FIFO. The results show that the proposed architecture is able to achieve high throughput while maintaining a high level of scalability. This work is a significant step towards the development of high-performance communication systems.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643298","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 Comparative Analysis of Microwave Circulators with Variation of Material Properties 材料性能变化的微波循环器建模与对比分析
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151501
Anuj Kumar Goel, Sarbjit Singh
{"title":"Modeling and Comparative Analysis of Microwave Circulators with Variation of Material Properties","authors":"Anuj Kumar Goel, Sarbjit Singh","doi":"10.1109/ICSTSN57873.2023.10151501","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151501","url":null,"abstract":"Circulators have numerous applications in communications industry due to their non-reciprocal behavior and have countless research opportunities for engineering fraternity. In this paper, material properties are discussed by which performance of circulators can be improved. Dominating performance parameters are reflection coefficient, dielectrics, scattering matrix etcetera. 3-port circulator is discussed with variation in the value of relative permittivity and in the designed model relative permittivity of around 12.5 found good for isolation in circulators. Ferrite material is commonly used magnetized material in circulators and further materials can be analyzed to achieve better reflection coefficient.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114442983","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
Secure and Location Based Energy Efficient Protocol for Wireless Sensor Networks 基于位置的无线传感器网络安全节能协议
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151620
R. Senthil Kumaran, R. Parkavi, M. Jayasudha, V. Akshaya
{"title":"Secure and Location Based Energy Efficient Protocol for Wireless Sensor Networks","authors":"R. Senthil Kumaran, R. Parkavi, M. Jayasudha, V. Akshaya","doi":"10.1109/ICSTSN57873.2023.10151620","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151620","url":null,"abstract":"Wireless sensor networks play a major role in applications that require challenging human contact, which can greatly benefit from the use of wireless sensor networks. WSN is widely used in real-time applications, including security systems, environmental monitoring systems, disaster management, and health monitoring, among others. Due to the fact that sensor nodes are placed in remote locations, it is difficult to find their position and optimize the energy used by the sensor nodes. So, it’s crucial to increase network lifespan by locating them, enhancing energy efficiency, and giving the network security in order to improve network performance. By merging the WSN network’s routing idea into the wireless data network’s hierarchical clustering routing algorithm LEACH, specifically Quadrant Based LEACH, a locationbased routing protocol (QB-LEACH) is suggested. The proposed work comprises three phases, namely, location estimation using Grey Wolf optimisation, energy-efficient clustering by the Quadrant Based-LEACH algorithm, and detection of malicious nodes by a trust-based model. Simulation results show that the proposed Secure and Location Based Energy Efficient Protocol (SLEEP) outperforms in terms of packet delivery ratio, average route path length, average delay, and energy consumption.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114865393","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
Design of Terahertz Absorber Based On T-Shaped Metamaterial 基于t形超材料的太赫兹吸收器设计
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151515
K. Sagadevan, A. Sagaya Selvaraj, B. Elizabeth Caroline, P. Logapriya., S. Arunadevi
{"title":"Design of Terahertz Absorber Based On T-Shaped Metamaterial","authors":"K. Sagadevan, A. Sagaya Selvaraj, B. Elizabeth Caroline, P. Logapriya., S. Arunadevi","doi":"10.1109/ICSTSN57873.2023.10151515","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151515","url":null,"abstract":"Terahertz(THz) metamaterials would eventually lead to improvements in a number of technological and research domains. Terahertz metamaterial absorbers may successfully entrap electromagnetic waves based on the changing electromagnetic properties of artificially produced unit cells. The dual T-shaped metamaterial structure are made up of gold patches are proposed and analysed. The absorber has dielectric substrate between gold which is on top and bottom layers. The absorber is anlaysed using various dielectric substrates like Gallium arsenide(GaAs), Silicon Carbide (SiC) and Poly tetra fluoro ethylene (PTFE). Further absorption and bandwidth are calculated. The absorptance rate produced by various materials are are almost 100% with resonant frequency in terms of wavelength 6.2$mu$m for SiC, 8.5$mu$m for GaAs and 4$mu$m for PTFE. The bandwidths of each substrate are 0.5$mu$m for SiC, 0.7$mu$m for GaAs, 0.8$mu$m for PTFE. The three different dielectric substrates are compared and concluded PTFE as more efficient than the other materials.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125778593","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
Blood Cell Classification using Neural Network Models 利用神经网络模型进行血细胞分类
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151543
Jagrit Mitra, Kartik Vijayran, Kartikeya Verma, Anurag Goel
{"title":"Blood Cell Classification using Neural Network Models","authors":"Jagrit Mitra, Kartik Vijayran, Kartikeya Verma, Anurag Goel","doi":"10.1109/ICSTSN57873.2023.10151543","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151543","url":null,"abstract":"Blood cells classification is a crucial aspect in medical diagnosis. Several machine learning models have been proposed under various researches for classification of blood cells in recent years. However, the traditional machine learning algorithms are limited in the accurate detection of abnormal cells. In this study, we propose deep learning based approach for blood cell classification and evaluate the efficiency of multi-layer neural network model built for the classification of the various types of White Blood Cells using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in combination. The proposed method leverages the strengths of both CNN and RNN and gives better results.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927261","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
Information system for flood monitoring based on IoT and AI 基于物联网和人工智能的洪水监测信息系统
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151466
A. J. Wilson, A. Pon Bharathi, M. Anoop, J. Angelin Jeba Malar
{"title":"Information system for flood monitoring based on IoT and AI","authors":"A. J. Wilson, A. Pon Bharathi, M. Anoop, J. Angelin Jeba Malar","doi":"10.1109/ICSTSN57873.2023.10151466","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151466","url":null,"abstract":"One of the most significant areas where realistic solutions have been put into place to minimise harm is flood management. In this research project, we are creating an IoTenabled adaptive AI technique for effective fluid management. Floods in Kerala, India, have recently seriously damaged the environment, infrastructure, and population. Various IoT devices gathered information on temperature, precipitation rates, and other variables. This study uses a real-time flood visualisation technology to provide an information system for flood monitoring. A system is constructed by first creating two systems: a client system comprised of hardware for detecting floods and a server system comprised of software for monitoring floods and distributing the collected data. All of the information on the flood in Kerala is compiled and split in halves, with the first set serving as training data and the second as test data. The suggested hybrid model is trained using six different machine learning models, and it achieves a maximum accuracy of 99.64%. We were able to prevent losses because to the system’s seamless design. Research reveals that the client of the flood detection system may deliver real-time data on flood levels, weather conditions, and temperatures. Additionally, data from client systems can be collected by flood monitoring information systems and stored in MySQL.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131238629","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
Re-boost Converter enabled DC Microgrid System with Sliding Mode Control and Maximum Power Point Tracking 带滑模控制和最大功率点跟踪的再升压变换器直流微电网系统
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151508
B. Balaji, S. Ganesan, P. Pugazhendiran, R. Madhan
{"title":"Re-boost Converter enabled DC Microgrid System with Sliding Mode Control and Maximum Power Point Tracking","authors":"B. Balaji, S. Ganesan, P. Pugazhendiran, R. Madhan","doi":"10.1109/ICSTSN57873.2023.10151508","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151508","url":null,"abstract":"In this work, a novel control strategy is proposed to provide a ‘‘rapid acting Maximum Power Point Tracking (MPPT) Technique for solar photovoltaic system amid rapidly fluctuating solar radiation’’ with energy management for DC Microgrid. This system comprises of the solar, wind power sources and a battery backup. Re-boost converter is used to transform the energy produced. The DC link component of the conventional system is replaced by a re-boost converter. A boost converter is a DC-DC converter that raises or enhances output voltage. The suggested converter’s efficiency is principally attained while switching stress is kept to a minimum since it has a power MOSFET switch. The Re-boost converter provides a consistent input current while reducing voltage stress. Both the output ripple voltage and total harmonic distortion factor are kept to a minimum. The DC Microgrid receives the converted energy to meet demand. The system has been set up with a closed loop to ensure efficient operation. The controller is a component of the closed loop setup. One traditional controller, the PI controller, and one innovative controller, the Sliding Mode controller, are both used in this study. The most efficient controller for the suggested system will be found after the results of the controllers were compared.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132303596","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
ICSTSN 2023 Cover Page ICSTSN 2023封面
2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/icstsn57873.2023.10151599
{"title":"ICSTSN 2023 Cover Page","authors":"","doi":"10.1109/icstsn57873.2023.10151599","DOIUrl":"https://doi.org/10.1109/icstsn57873.2023.10151599","url":null,"abstract":"","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116482333","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
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