2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献_第5页

Comparison of Level Shifted SPWM Methods for Three Phase, Seven Level Reduced Switch Based Multilevel Inverter 基于三相七电平降阶开关的多电平逆变器移电平SPWM方法比较

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179769

Rishi Raj Jaiswal, R. Kumar, Majhrul Israr, P. Samuel

引用次数: 0

Design and Implementation of Optimal QCA Nanotechnology based Low-Power Combinational Circuits 基于纳米技术的最佳QCA低功耗组合电路的设计与实现

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179625

K. Likhitha, Shashi Preetham, C. S. R. Sachit, Tareeq Zaid

引用次数: 0

Automatic Identification of Make and Model of Ankle Implants using Artificial Intelligence 基于人工智能的踝关节植入物型号自动识别

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179730

Shaik Mushkin Ali, Sahithi Nara, A. Ramanathan, C. Malathy, R. Athilakshmi, M. Gayathri, V. Batta

引用次数: 0

A novel demand response algorithm for grid-connected microgrids that maximises renewable energy utilisation 一种新的可再生能源利用最大化的并网微电网需求响应算法

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179697

Adapa Sudheer Kumar, Nalla Saikumar, Pothuraju Sasikumar, Ponnapalli Veera VENKATA AKSHITSAI, Jalem Raj Kiran

{"title":"A novel demand response algorithm for grid-connected microgrids that maximises renewable energy utilisation","authors":"Adapa Sudheer Kumar, Nalla Saikumar, Pothuraju Sasikumar, Ponnapalli Veera VENKATA AKSHITSAI, Jalem Raj Kiran","doi":"10.1109/ICECCT56650.2023.10179697","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179697","url":null,"abstract":"Utilizing wind and solar electricity effectively in the power system is difficult due to the uncertainty these sources bring. The conventional method for handling its erratic power supply is to instal battery energy storage systems (BESS). However, BESS can't get widespread use because of its prohibitive price tag. In this study, we look at the demand response (DR) strategy to see whether or not it is a viable option for optimising the use of renewable energy sources like wind and solar. Specifically for managing the operations of thermostatically controlled appliances (TCAs) like air conditioners, a novel DR technique called weighted coefficient queuing (WCQ) algorithm has been created (AC). In order to customise the amount of reaction from their appliances, users may choose from a spectrum of colours using the WCQ algorithm, which is made up of a algorithm and a state-queuing (SQ) model. This kind of algorithm may guarantee the satisfaction and fairness of the clientele. The suggested algorithm is tested on a microgrid with one thousand ACs to ensure its efficacy.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116715226","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

Novel Neural Network for Breast Cancer Diagnosis 新型神经网络用于乳腺癌诊断

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179826

Rajyalakshmi Uppada, Sujata Pedada, Himabindu Chinni

{"title":"Novel Neural Network for Breast Cancer Diagnosis","authors":"Rajyalakshmi Uppada, Sujata Pedada, Himabindu Chinni","doi":"10.1109/ICECCT56650.2023.10179826","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179826","url":null,"abstract":"The second biggest cause of mortality for women worldwide is Breast Cancer (BC). BC diagnosis by hand using histological breast pictures is expensive, time-consuming, and non-generalizable. Using a CNN to directly learn features from entire slide images is an alternative way for feature extraction. A significant number of labelled images, which can occasionally be challenging to get, are necessary for training the CNN. Reusing a pre-trained CNN model for feature attainment with huge image datasets from other disciplines is the solution. The BreakHis dataset contains images of BC histology, and in this article, we provide a “Novel CNN” architecture using Transfer Learning for identifying those images. This model's binary classification-benign and malignant-allows it to quickly and accurately diagnose breast cancer. In the suggested framework, DenseNet-201 pre-trained model is used to attain features from the histopathological pictures. Then, to generate a reliable hybrid model, the attained features are applied into the Global Average Pooling Layer, followed by Dropout, Batch-Normalization, and Dense Layers. The proposed model had a 99.75% accuracy rate. These encouraging findings will open the door to utilize this model as an automated tool to help clinicians diagnose breast cancer and may improve the survival rate for the disease.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784476","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

Plant Leaf Diseases Prediction using Butterfly Optimization BO with Support Vector Machine SVM 基于支持向量机支持向量机的蝴蝶优化BO预测植物叶片病害

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179681

R. G, S. A.

{"title":"Plant Leaf Diseases Prediction using Butterfly Optimization BO with Support Vector Machine SVM","authors":"R. G, S. A.","doi":"10.1109/ICECCT56650.2023.10179681","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179681","url":null,"abstract":"Productivity in agriculture is important for economic expansion. The presence of illness in plants is very widespread, this is one of the factors that makes plant disease identification crucial for the agriculture sector. Given that plants are frequently afflicted by illnesses, they may die and produce fewer fruits and vegetables. By utilising various sorts of techniques and algorithms, such as image processing, the most recent and advancing technologies are applied to address such problems. Image segmentation is employed during pre-processing to reduce the noise and to separate the leaf's damaged or affected areas. This paper explores some of the difficulties that may arise when utilising machine learning to identify plant diseases and pests in real-world settings. The obtained features are then categorised using machine learning methods like Butterfly Optimization BO with Support Vector Machine SVM. The user is advised to receive treatment during the final stage. The diseases primarily have a negative impact on live plants. With this strategy, farmers should have a greater chance to maintain the health of their crops and avoid stressing the plants by using the wrong fertilisers.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515479","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

An Intelligent Traffic Management System in Vehicle-to-NH Road (V2N) using Dynamic Optimal Random Access (DORA) protocol in Comparison with Dynamic Source Routing (DSRP) Protocol to Improve Packet Delivery Ratio 基于动态最优随机存取(DORA)协议与动态源路由(DSRP)协议的V2N车辆智能交通管理系统的比较研究

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179795

C. Raghavendra, N. Deepa

{"title":"An Intelligent Traffic Management System in Vehicle-to-NH Road (V2N) using Dynamic Optimal Random Access (DORA) protocol in Comparison with Dynamic Source Routing (DSRP) Protocol to Improve Packet Delivery Ratio","authors":"C. Raghavendra, N. Deepa","doi":"10.1109/ICECCT56650.2023.10179795","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179795","url":null,"abstract":"The aim of the study is to find traffic management system in Vehicle to NH Road to analyze packet delivery ratio using Dynamic optimal random access in comparison with Dynamic source routing protocol in wireless networking. Materials and Methods: Low packet delivery ratio are performed with traffic dataset. classification of dynamic optimal random-access protocol where a number of the samples are ($mathrm{N}=26$) and dynamic source routing protocol where a number of the samples ($mathrm{N}=26$) obtained using the G-power value is 80%. Results and Discussion: Dynamic Optimal Random Access and Dynamic Source Routing Protocol. The mean of Dynamic Optimal Random Access is 17.27 and Dynamic Source Routing Protocol is 14.77. T-Test for comparison for Dynamic Optimal Random Access standard error mean (0.335) and Dynamic Source Routing Protocol (0.416). Novel traffic management system from the dataset has a packet delivery ratio of 95% which can be comparatively higher than dynamic source routing protocol accuracy. The significance value of accuracy is 0.157 ($p > 0.05$). Conclusion: Dynamic optimal random access performs better in finding packet delivery ratio when compared to dynamic source routing protocol.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131516423","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 and Drain Current Characteristics of L-Shaped Dielectric TFET with work function Engineering 基于功函数工程的l型介质TFET设计及漏极电流特性

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179814

Naga Swathi Tallapaneni, Megala Venkatesan

{"title":"Design and Drain Current Characteristics of L-Shaped Dielectric TFET with work function Engineering","authors":"Naga Swathi Tallapaneni, Megala Venkatesan","doi":"10.1109/ICECCT56650.2023.10179814","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179814","url":null,"abstract":"The Tunnel Field Effect Transistor (TFET) is modified internally with a novel L-shaped with two different dielectric materials in 5nm technology using the TCAD tool. The proposed device is made of High k dielectric materials being Hafnium Oxide (Hf02) and low k dielectric materials being Silicon Dioxide (SiO2). Both materials have a good high potential to attract low power and achieve well on current (Ion) with lower leakage current (Ioff). Based on its analysis and simulations using the ATLAS simulator, the suggested device (L-DTFET) exhibits band to band tunnelling (BTBT). Source and drain doping concentration are equal in the Proposed L-DTFET., but channel doping concentration is less. Due to channel doping concentration., the BTBT mechanism is good over the Double Gate TFET and Conventional TFET. The L-shaped DTFET exhibits improved electrical characteristics and are calibrated for all the parameters. The corner effect is suppressed due to pocket doping in the channel of L- shaped dielectric TFET. The key properties of L-DTFETs are scaling the gate length to a 5 nm invention without reducing the on current (Ion) or raising the leakage current. Therefore., the energy efficiency of 5nm L-shaped DTFET justifies low power high-speed applications.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646098","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

Defending Marine Ships against Ethernet based Cyberattacks 防御基于以太网的网络攻击

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179830

Sandip Shinde, Harsh Mehta

{"title":"Defending Marine Ships against Ethernet based Cyberattacks","authors":"Sandip Shinde, Harsh Mehta","doi":"10.1109/ICECCT56650.2023.10179830","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179830","url":null,"abstract":"The maritime industry has integrated a lot of automation in electronics since past few decades and will be investing more in upcoming years. This development has reduced a lot of manual work but has also introduced a lot of security vulnerabilities. As marine ships categorize as critical infrastructure, proper security measures must be taken to reduce the attack surface. This study focuses on a possible attack strategy using ethernet based network (IEC 61162–450) which could result into potential capsize of the ship. This study refers Furuno's device manuals for forming an overview of the internal network of the ship. The attack script utilizes User Datagram Protocol to send malicious data packets into the network; specifically, injects fake Global Positioning System coordinates to implement Global Positioning System spoofing attack on Electronic Chart Display and Information System. Post that, a mitigation strategy in form of a PowerShell script is proposed. The script implements features of threat hunting as it identifies and terminates malicious programs injecting data packets into the internal network. This study proposes to implement automated threat detection and response-based program to be implemented on all Information Technology systems to reduce the impact of a possible intrusion by an external threat actor.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264750","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

HULA: Dynamic and Scalable Load Balancing Mechanism for Data Plane of SDN HULA: SDN数据平面的动态可扩展负载均衡机制

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179849

Manasa Kulkarni, Bhargavi Goswami, Joy Paulose

引用次数: 0