Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297475
Y. Dou
Automatic intelligent korean character semantic recognition and analysis framework based on machine learning is implemented in this manuscript. In the research process of this article, algorithm uses the idea of genetic system programming paradigm to derive characters in the initial system, while the initial L system operates a set of actual related parameter strings represented by letters to expand the grammar. There are core innovations as follows. (1) The random optimization algorithm is only required to know the unbiased estimation of the gradient of the objective function, especially for machine learning problem of finite samples. Hence, it is extended into higher complexity. (2) The random optimization method only needs to calculate the gradient of the objective function, it is therefore used to enhance the overall efficiency. The experiment compared with the latest methods have proven the performance.
{"title":"Automatic Intelligent Korean Character Semantic Recognition and Analysis Framework based on Machine Learning","authors":"Y. Dou","doi":"10.1109/ICECA49313.2020.9297475","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297475","url":null,"abstract":"Automatic intelligent korean character semantic recognition and analysis framework based on machine learning is implemented in this manuscript. In the research process of this article, algorithm uses the idea of genetic system programming paradigm to derive characters in the initial system, while the initial L system operates a set of actual related parameter strings represented by letters to expand the grammar. There are core innovations as follows. (1) The random optimization algorithm is only required to know the unbiased estimation of the gradient of the objective function, especially for machine learning problem of finite samples. Hence, it is extended into higher complexity. (2) The random optimization method only needs to calculate the gradient of the objective function, it is therefore used to enhance the overall efficiency. The experiment compared with the latest methods have proven the performance.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"26 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":"115320038","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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297369
Sushma Barma, Sumanjali Damarla, S. K. Tiwari
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.
{"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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297378
Dhruva Hunasekattte
A Resistance-to-time convertor consists of a voltage follower, a bridge amplifier and Schmitt trigger to increase the resistive sensitivity and resistance range of an embedded system like Arduino. Arduino has an Analog input Read scale between 0 to 1024 and max input voltage reading of 5V, due to which its resistance sensing capability is restricted and the accuracy is hindered. Therefore, the R to t convertor is used to improve its resistance sensing capability. Experimental values are also given to demonstrate the above.
电阻-时间转换器由电压跟随器、桥式放大器和施密特触发器组成，以增加像Arduino这样的嵌入式系统的电阻灵敏度和电阻范围。Arduino的Analog input Read scale在0 ~ 1024之间，最大输入电压读数为5V，这限制了Arduino的电阻传感能力，影响了其精度。因此，采用R to t变换器来提高其电阻感知能力。并给出了实验值来证明上述结论。
{"title":"A Resistance-to-time Convertor to enhance Resistive Sensitivity of Embedded Systems","authors":"Dhruva Hunasekattte","doi":"10.1109/ICECA49313.2020.9297378","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297378","url":null,"abstract":"A Resistance-to-time convertor consists of a voltage follower, a bridge amplifier and Schmitt trigger to increase the resistive sensitivity and resistance range of an embedded system like Arduino. Arduino has an Analog input Read scale between 0 to 1024 and max input voltage reading of 5V, due to which its resistance sensing capability is restricted and the accuracy is hindered. Therefore, the R to t convertor is used to improve its resistance sensing capability. Experimental values are also given to demonstrate the above.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"19 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":"122314343","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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297392
Bhavya Gudeti, Shashvi Mishra, Shaveta Malik, Terrance Frederick Fernandez, A. Tyagi, Shabnam Kumari
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.
{"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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297380
Samarjeet Kaur, Vedant Sahai, Aditi Jaiswal, S. Chanda
This paper addresses the problem on generating knowledge graphs from research papers related to wildfires, and their impacts on the electrical grid infrastructure. A novel framework based on part-of-speech tagging, word frequency statistics, and document clustering is proposed for extracting information and generating knowledge graphs from a selfcurated corpus of wildfire-related research work abstracts. The proposed method is capable of capturing a wide range of insightful information from the self-generated domain-specific corpus. Systemic engineering practices, such as strategies for wildfire mitigation by electric utilities has been included as a case study in this paper. An application of the research is implemented for simulating the management and mitigation of wildfires by electric utilities in California.
{"title":"Knowledge Mining for Defining Systemic Engineering Practices","authors":"Samarjeet Kaur, Vedant Sahai, Aditi Jaiswal, S. Chanda","doi":"10.1109/ICECA49313.2020.9297380","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297380","url":null,"abstract":"This paper addresses the problem on generating knowledge graphs from research papers related to wildfires, and their impacts on the electrical grid infrastructure. A novel framework based on part-of-speech tagging, word frequency statistics, and document clustering is proposed for extracting information and generating knowledge graphs from a selfcurated corpus of wildfire-related research work abstracts. The proposed method is capable of capturing a wide range of insightful information from the self-generated domain-specific corpus. Systemic engineering practices, such as strategies for wildfire mitigation by electric utilities has been included as a case study in this paper. An application of the research is implemented for simulating the management and mitigation of wildfires by electric utilities in California.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"35 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":"114546877","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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297618
B.N. Ch.V. Chakravarthi, G. V. Siva Krishna Rao
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.
{"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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297516
Priyanka R. Khade, Mohan P. Thakre
In three-phase series compensated long transmission line, when the fault occurs in the system, the parameters like capacitive reactance $(mathrm{X}_{mathrm{c}})$ and fault reactance $(mathrm{R}_{mathrm{f}})$ can cause the distance relay to either under reach or over reach. This parameter can cause error in the estimation of fault impedance, vhere it gives apparent impedance due to vhich exact fault location cannot be determined and due to this the relay mal operates. To avoid mal-operation of distance relay, many filtering techniques like discrete Fourier transform (DFT), fast Fourier transform (FFt), wavelet filter, cosine filter, and prony filter are usedL This article deals with the best possible reach setting for the functional characteristics of the three-phase series compensated with trans mission line. Prony method remains as the baest alternative to acquire the accurate impedance calculated by measuring the voltage and current frequency phasors.
{"title":"Optimal Reach Settings of Mho Relay for Series Compensated Transmission Line Protection","authors":"Priyanka R. Khade, Mohan P. Thakre","doi":"10.1109/ICECA49313.2020.9297516","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297516","url":null,"abstract":"In three-phase series compensated long transmission line, when the fault occurs in the system, the parameters like capacitive reactance $(mathrm{X}_{mathrm{c}})$ and fault reactance $(mathrm{R}_{mathrm{f}})$ can cause the distance relay to either under reach or over reach. This parameter can cause error in the estimation of fault impedance, vhere it gives apparent impedance due to vhich exact fault location cannot be determined and due to this the relay mal operates. To avoid mal-operation of distance relay, many filtering techniques like discrete Fourier transform (DFT), fast Fourier transform (FFt), wavelet filter, cosine filter, and prony filter are usedL This article deals with the best possible reach setting for the functional characteristics of the three-phase series compensated with trans mission line. Prony method remains as the baest alternative to acquire the accurate impedance calculated by measuring the voltage and current frequency phasors.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"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":"129830802","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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297539
Hemant Gupta, Arvind Yadav, S. Maurya
Due to growing influence in medium to high power applications, multilevel inverters have seen several modifications since its first release in the late 90’s. The modification includes its different topologies, control and modulation schemes. The main objective of those modifications was to reduce the number of switching devices while obtaining a higher number of levels in the output voltage. The working of a multilevel inverter is analyzed through which seventeen level output voltage can be achieved by employing eight switching devices. This arrangement provides minimal harmonic distortion by implementing multi-carrier pulse width modulation technique.
{"title":"Cascade multilevel inverter based topology with reduced switch count","authors":"Hemant Gupta, Arvind Yadav, S. Maurya","doi":"10.1109/ICECA49313.2020.9297539","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297539","url":null,"abstract":"Due to growing influence in medium to high power applications, multilevel inverters have seen several modifications since its first release in the late 90’s. The modification includes its different topologies, control and modulation schemes. The main objective of those modifications was to reduce the number of switching devices while obtaining a higher number of levels in the output voltage. The working of a multilevel inverter is analyzed through which seventeen level output voltage can be achieved by employing eight switching devices. This arrangement provides minimal harmonic distortion by implementing multi-carrier pulse width modulation technique.","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":"129323273","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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297593
Kavita V. Horadi
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
{"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}
Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297385
Soumya Peddi, S. Patil, Jayashree Agarkhed
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
{"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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：