2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献

Automatic Intelligent Korean Character Semantic Recognition and Analysis Framework based on Machine Learning 基于机器学习的自动智能韩文语义识别与分析框架

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297475

Y. Dou

引用次数: 0

Semi-Automated Technique for Vegetation Analysis in Sentinel-2 Multi-Spectral remote sensing images using Python 基于Python的Sentinel-2多光谱遥感影像植被分析半自动化技术

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297369

Sushma Barma, Sumanjali Damarla, S. K. Tiwari

{"title":"Semi-Automated Technique for Vegetation Analysis in Sentinel-2 Multi-Spectral remote sensing images using Python","authors":"Sushma Barma, Sumanjali Damarla, S. K. Tiwari","doi":"10.1109/ICECA49313.2020.9297369","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297369","url":null,"abstract":"Satellite imagery provides a lot of information that can be analysed for a variety of objectives. The vegetation analysis in a region for a particular period of time to process a large amount of data is remaining as a bottleneck and involves a series of timeconsuming steps that delay the output. To overcome this challenge, this study aims to automate the process and estimate the area of sparse and dense vegetation of a certain area of interest and to assess the vegetation dynamics in this region by using the Sentinel-2 data. Python with its opensource libraries are utilized for downloading and processing the satellite data. Mandal (sub-district) level Mean NDVI, area under sparse and dense vegetation are estimated at the peak vegetative growth stage in Rabi season (February) from 2017 to 2020. In the assessment of satellite data, it was observed that the Godavari delta region has shown a decrease in the sparse vegetative area (11094 ha.) and an increase in dense vegetation area (3272 ha.) in 2018 as compared with 2019 assessment. However, in the Krishna delta region, it was observed that the sparse vegetation area was decreased (90600 ha) and an increased dense area (161915 ha.) in 2020 as compared with 2017. The process involves downloading Sentinel-2 data using SentinelHub and SentinelSat API, pre-processing and segmenting NDVI images to classify vegetation areas and the calculation of Mandal (sub-district) level statistics.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123796882","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

A Resistance-to-time Convertor to enhance Resistive Sensitivity of Embedded Systems 一种提高嵌入式系统电阻灵敏度的电阻-时间转换器

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297378

Dhruva Hunasekattte

引用次数: 1

A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms 使用机器学习算法预测慢性肾脏疾病的新方法

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297392

Bhavya Gudeti, Shashvi Mishra, Shaveta Malik, Terrance Frederick Fernandez, A. Tyagi, Shabnam Kumari

{"title":"A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms","authors":"Bhavya Gudeti, Shashvi Mishra, Shaveta Malik, Terrance Frederick Fernandez, A. Tyagi, Shabnam Kumari","doi":"10.1109/ICECA49313.2020.9297392","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297392","url":null,"abstract":"A staggering 63,538 cases have been registered according to India’s health statistics on Chronic Kidney Disease (CKD). The average age of nephropathy for humans lies between 48-70 years. CKD is more prevalent among males than females. Bitterly, India ranks among top 17 countries in CKD since 2015, which is characterized by a gradual loss of excretory organ performance over time. Earlier detection of the illness followed by treatment could keep this dreaded disease at the shore. Machine Learning, is making sensible applications in the areas such as analyzing medical science outcomes, sleuthing fraud etc. For the prediction of chronic diseases various machine learning algorithms are implemented.Our main aim is to differentiate the performance of various machine learning algorithms that are primarily based on its accuracy. This research work has idolized Rcode to compare their performance. The pivotal purpose of this study is to analyze the Chronic Kidney Disease dataset and conduct CKD and Non CKD classification cases.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525296","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

Knowledge Mining for Defining Systemic Engineering Practices 定义系统工程实践的知识挖掘

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297380

Samarjeet Kaur, Vedant Sahai, Aditi Jaiswal, S. Chanda

引用次数: 0

Impact of Power Quality Issues in Grid Connected Photovoltaic System 并网光伏系统电能质量问题的影响

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297618

B.N. Ch.V. Chakravarthi, G. V. Siva Krishna Rao

{"title":"Impact of Power Quality Issues in Grid Connected Photovoltaic System","authors":"B.N. Ch.V. Chakravarthi, G. V. Siva Krishna Rao","doi":"10.1109/ICECA49313.2020.9297618","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297618","url":null,"abstract":"Power quality in the recent decade becomes one of the key components, which impacts the economy of a country. A huge increase in the population matters the large consumption of energy, in turn, leads to equivalent power generation. To control the greenhouse emissions and the worldwide warming up due to the utilization of conventional sources, substitution can be made with the support from the alternate green energy source. Also, the performance of the electrical utility can be improved by exploiting renewable resources since conventional energy is decaying day by day. Solar energy becomes the most prominent among the renewable resources, having enormous potential across the country. Power electronic interfaces like DC-DC converter, DC-AC inverter incorporated between the source and utility provides a stable power output. This proposed paper portrays the difficulties and concerns in the deployment of solar power towards the utility/public grid integration. The permissible level of penetration, optimal planning and sizing, voltage fluctuations, associated harmonics and appropriate filters are reviewed precisely.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022394","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

Optimal Reach Settings of Mho Relay for Series Compensated Transmission Line Protection 串联补偿传输线保护中Mho继电器的最佳到达设定

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297516

Priyanka R. Khade, Mohan P. Thakre

引用次数: 3

Cascade multilevel inverter based topology with reduced switch count 基于减少开关计数的级联多电平逆变器拓扑结构

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297539

Hemant Gupta, Arvind Yadav, S. Maurya

引用次数: 1

Document Image Analysis in Compressed Domain-Limitations, Applications & Challenges 压缩域文档图像分析——限制、应用与挑战

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297593

Kavita V. Horadi

{"title":"Document Image Analysis in Compressed Domain-Limitations, Applications & Challenges","authors":"Kavita V. Horadi","doi":"10.1109/ICECA49313.2020.9297593","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297593","url":null,"abstract":"Document image analysis plays a vital role in this digital era. Recent developments in the IT industry have led to the growth of digital data in various fields like medical, government offices, education sector, banks, social media, digital library, and so on. Advancement in the recent technologies has paved their way to convert the traditional offices into paperless offices. Also, the growth of digital libraries, e-governance, and internet based applications has led to the increase in the volume of digital data, which mainly include texts, graphs, images, audio and video as various components in the document image by resulting in the development of complex document images, which are used for archival and transmission on regular basis. This paper proposes an idea for processing the document image in its compressed version by particularly focusing on how content matching and structural analysis can be performed in the compressed representation of document image. This gives an insight on the importance of processing document images in its compressed domain. Due to the exponential growth of data, the data is stored in compressed form. There is an actual need for investigating further research from the perspective of dealing directly with the compressed representation of document images as a remedy to the ever-increasing big data-related challenges. This paper also discusses the various applications of document images and opens up the challenges faced by the researchers in addressing these applications. An overview of the state of the art datasets available in the literature in the area of document image analysis is also addressed","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124574354","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

Load Balance Distribution In Heterogeneous Wireless Sensor Network 异构无线传感器网络中的负载均衡分布

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297385

Soumya Peddi, S. Patil, Jayashree Agarkhed

{"title":"Load Balance Distribution In Heterogeneous Wireless Sensor Network","authors":"Soumya Peddi, S. Patil, Jayashree Agarkhed","doi":"10.1109/ICECA49313.2020.9297385","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297385","url":null,"abstract":"Energy productivity as well as energy adjusting will remain as a critical exploration issue according to the steering convention planning pro with self-sorted out wireless sensor network (WSNs). Numerous writings will utilize the alliance estimate to accomplish energy productivity as well as energy adjusting; in any case, it usually may be energy opening shut to cluster heads (CHs) as an outcome of substantial weight of sending. As the bunching issue in loss WSNs is end up being a NP-tricky issue, numerous metaheuristic computation are used to take care of the issue. In this manuscript, an exceptional alliance method call Energy center Searching using Particle Swarm Optimization (EC-PSO) is introduce to reside away as of these energy opening as well as hunt energy places pro CHs choice. During the main instance frame, the CHs be chosen utilize mathematical method. After the energy of organization is heterogeneous, EC-PSO is acknowledged pro bunch. Energy focus be looked through utilize an enhanced PSO computation in addition to hub near energy community be chosen as CHs. Moreover, a safety module is additionally use to forestall low energy hub as of being the forwarder as well as a portable information authority is acquainted through accumulate the information. The assorted reenactments are led to signify and introduce EC-PSO beat than some comparative mechanism concerning network lifetime enhancement as well as energy usage","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129032814","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