Pub Date : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753070
C. Sowmya, S. Deena, S. Anbuchelian
The social media networks have evolved quickly and many people often use these services to communicate with others and categorize themselves by sharing their opinions, views and concepts. It is usually dispensed by winnowing the corresponding or interlinked events mentioned on social media websites like Twitter, Facebook, YouTube and Pinterest etc. A social media analysis has rapt from being a unidirectional to a bidirectional dialogue i.e. between generations to generation. The rudimentary objective behind such analyses is to visualize the extent of criticality with relevancy criticism or appreciation delineate at intervals the comments, tweets or blogs. This analysis shows how individuals assume, assess, talk and opine concerning completely different problems.This paper centers on the pattern location and examine the feelings communicated in a particular sentence, passage or archive. The opinions and sentiments are extracted from the collected data and it is fairly estimated based on the degree of quality. The rule commitment of this paper is to give a blueprint to the individuals who try to use internet based life scratching and examination utilizing distinctive programming apparatuses either in their investigation or business. In addition, the system design to implement the proposed idea has been discussed.
{"title":"Performance of Sentimental Analysis by Studying and Mining Social Media using Parsing Technique","authors":"C. Sowmya, S. Deena, S. Anbuchelian","doi":"10.1109/ICGCIOT.2018.8753070","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753070","url":null,"abstract":"The social media networks have evolved quickly and many people often use these services to communicate with others and categorize themselves by sharing their opinions, views and concepts. It is usually dispensed by winnowing the corresponding or interlinked events mentioned on social media websites like Twitter, Facebook, YouTube and Pinterest etc. A social media analysis has rapt from being a unidirectional to a bidirectional dialogue i.e. between generations to generation. The rudimentary objective behind such analyses is to visualize the extent of criticality with relevancy criticism or appreciation delineate at intervals the comments, tweets or blogs. This analysis shows how individuals assume, assess, talk and opine concerning completely different problems.This paper centers on the pattern location and examine the feelings communicated in a particular sentence, passage or archive. The opinions and sentiments are extracted from the collected data and it is fairly estimated based on the degree of quality. The rule commitment of this paper is to give a blueprint to the individuals who try to use internet based life scratching and examination utilizing distinctive programming apparatuses either in their investigation or business. In addition, the system design to implement the proposed idea has been discussed.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131346471","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753076
N. Singa, Nilesh Jadhav, Bony Mathew
Transition from single node computing to complex distributed computing environments has proven its efficiency in the computer networks especially in executing heavy computational tasks. The sensors on the floor have become smart with additional computational capabilities compared to passive acquisition nodes. We merged these two entities and evaluated the distributed computing of PLC load on smart sensors on an industrial automation framework. We have utilized SoC (Raspberry Pi) to build a SMART sensor which has allowed us to create a distributed and scalable sensor network structure. This structure in conjunction with state of the Art Industrial Automation network improves the performance of the Automation networks.
{"title":"Distributed computing using SMART Sensors in Industrial automation framework","authors":"N. Singa, Nilesh Jadhav, Bony Mathew","doi":"10.1109/ICGCIOT.2018.8753076","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753076","url":null,"abstract":"Transition from single node computing to complex distributed computing environments has proven its efficiency in the computer networks especially in executing heavy computational tasks. The sensors on the floor have become smart with additional computational capabilities compared to passive acquisition nodes. We merged these two entities and evaluated the distributed computing of PLC load on smart sensors on an industrial automation framework. We have utilized SoC (Raspberry Pi) to build a SMART sensor which has allowed us to create a distributed and scalable sensor network structure. This structure in conjunction with state of the Art Industrial Automation network improves the performance of the Automation networks.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131381574","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8752975
Tanuja Jha, T. Choudhury
One of the important role played by CPU is process management. The CPU scheduling algorithms are essential for the performance of the system. The CPU utilization is maximized by the CPU scheduling algorithms. The algorithms used for scheduling CPU help in reducing the context-switching, turnaround time, response time ,average waiting time. First Come First Serve, Round Robin, Shortest Job First and Priority Scheduling are some useful algorithms for scheduling CPU. The systems based on time sharing uses Round Robin CPU scheduling algorithm. This paper presents an algorithm which is hybrid of both Round Robin Algorithm and Shortest Job First(SJF) Algorithm in which the burst -time of shortest job is used as the time quantum. The modified algorithm is proven useful than the conventional Round Robin. The hybrid of Round Robin and SJF algorithms have minimized the turnaround time and average waiting time to enhance CPU performance.
{"title":"A Hybrid of Round Robin and Shortest Job First CPU Scheduling Algorithm for Minimizing Average Waiting Time","authors":"Tanuja Jha, T. Choudhury","doi":"10.1109/ICGCIOT.2018.8752975","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8752975","url":null,"abstract":"One of the important role played by CPU is process management. The CPU scheduling algorithms are essential for the performance of the system. The CPU utilization is maximized by the CPU scheduling algorithms. The algorithms used for scheduling CPU help in reducing the context-switching, turnaround time, response time ,average waiting time. First Come First Serve, Round Robin, Shortest Job First and Priority Scheduling are some useful algorithms for scheduling CPU. The systems based on time sharing uses Round Robin CPU scheduling algorithm. This paper presents an algorithm which is hybrid of both Round Robin Algorithm and Shortest Job First(SJF) Algorithm in which the burst -time of shortest job is used as the time quantum. The modified algorithm is proven useful than the conventional Round Robin. The hybrid of Round Robin and SJF algorithms have minimized the turnaround time and average waiting time to enhance CPU performance.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133697271","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753071
Ranjani Murali
The growing arenas of e-commerce has its impact on the inflation and CPI. Automated web scrappers or web spiders are softwares that can be used to extract data that is available online. The proposed work here uses a python based web scrapper to extract online price information through automated browsing using Html DOM tree based structure to extract the data rich and relevant data regions of a web page. Further the extracted data is cleaned, integrated into a homogenous form for short term inflation calculation forecasting of vegetables and fruits category and analysis purposes.
{"title":"An intelligent web spider for online e-commerce data extraction","authors":"Ranjani Murali","doi":"10.1109/ICGCIOT.2018.8753071","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753071","url":null,"abstract":"The growing arenas of e-commerce has its impact on the inflation and CPI. Automated web scrappers or web spiders are softwares that can be used to extract data that is available online. The proposed work here uses a python based web scrapper to extract online price information through automated browsing using Html DOM tree based structure to extract the data rich and relevant data regions of a web page. Further the extracted data is cleaned, integrated into a homogenous form for short term inflation calculation forecasting of vegetables and fruits category and analysis purposes.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132727014","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753031
Bhaumik Kohli, T. Choudhury, Shilpi Sharma, Praveen Kumar
Over recent years, we’ve seen various customs for conversational agents. Chatbot is a conventional agent which is capable to communicate with operators by using natural languages. As numerous chatbot platforms already exist, there are still some problems in building data-driven system because a huge amount of data is required for its development. Thus, this paper describes various such agents which depend upon natural expressions implemented in Python. Moreover, to provide a better platform, web connectivity is also provided to evaluate the chatbot on a web-based platform which will help in analysing Human-Chatbot interactions.
{"title":"A Platform for Human-Chatbot Interaction Using Python","authors":"Bhaumik Kohli, T. Choudhury, Shilpi Sharma, Praveen Kumar","doi":"10.1109/ICGCIOT.2018.8753031","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753031","url":null,"abstract":"Over recent years, we’ve seen various customs for conversational agents. Chatbot is a conventional agent which is capable to communicate with operators by using natural languages. As numerous chatbot platforms already exist, there are still some problems in building data-driven system because a huge amount of data is required for its development. Thus, this paper describes various such agents which depend upon natural expressions implemented in Python. Moreover, to provide a better platform, web connectivity is also provided to evaluate the chatbot on a web-based platform which will help in analysing Human-Chatbot interactions.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115329330","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753095
Dr. S. Senthil, B. Ayshwarya
The suggested techniques provide a noble quality tool to predict lung tumor classification and play a major role, particularly in the finding and classification of medical data. The literature reports a number of lung cancer diagnosis systems which predict normal and abnormal lung cancers with the support of SVM. Our proposed research focuses on predicting lung cancer whether it is normal or abnormal, with respect to the classification technique. Initially, in the preprocessing phase, suitable data from the input data set are extracted after preprocessing; the resultant output is fed to the feature selection. In this feature selection phase, the features are selected with the aid of the firefly algorithm. After the feature selection, the particular features are served in to the support vector machine (SVM) classifier; with the aid of this classifier, the data are classified as either normal or abnormal. The proposed method will be implemented in Matlab with various lung cancer data. In addition to this, our proposed work will be in comparison with the present strategies and algorithms for proving that our proposed work is the best one.
{"title":"Predicting Lung Cancer Using Datamining Techniques With the AID of SVM Classifier","authors":"Dr. S. Senthil, B. Ayshwarya","doi":"10.1109/ICGCIOT.2018.8753095","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753095","url":null,"abstract":"The suggested techniques provide a noble quality tool to predict lung tumor classification and play a major role, particularly in the finding and classification of medical data. The literature reports a number of lung cancer diagnosis systems which predict normal and abnormal lung cancers with the support of SVM. Our proposed research focuses on predicting lung cancer whether it is normal or abnormal, with respect to the classification technique. Initially, in the preprocessing phase, suitable data from the input data set are extracted after preprocessing; the resultant output is fed to the feature selection. In this feature selection phase, the features are selected with the aid of the firefly algorithm. After the feature selection, the particular features are served in to the support vector machine (SVM) classifier; with the aid of this classifier, the data are classified as either normal or abnormal. The proposed method will be implemented in Matlab with various lung cancer data. In addition to this, our proposed work will be in comparison with the present strategies and algorithms for proving that our proposed work is the best one.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124358280","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753018
P. Roy, Anugrah Pandya, V. Deep, Purushottam Sharma
Now-a-days, distribution of fertilizer in India is done with the use of ICT. With the studies done by the various authors on this topic, it is realized that here had been brilliant progress in deployment of Information and Communication Technology (ICT) in the Fertilizer Distribution System during the last few years, but potential of ICT is yet to be fully raped in the overall growth of this industry. This paper basically evaluates the possibilities of enhancing the efficiency and effectiveness of fertilizer distribution system with a well-conceived ICT deployment. Based on the survey done, the need for automated and self-distribution of fertilizer system especially in developing country like India is realized. This can help the farmers for the better understanding and realization of agriculture practices to be adopted in their farming techniques for distribution of fertilizers. The paper also outlines the developing business environment with the passes of the prospects of the fertilizer distribution system.
{"title":"ICT based Fertilizer Distribution System","authors":"P. Roy, Anugrah Pandya, V. Deep, Purushottam Sharma","doi":"10.1109/ICGCIOT.2018.8753018","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753018","url":null,"abstract":"Now-a-days, distribution of fertilizer in India is done with the use of ICT. With the studies done by the various authors on this topic, it is realized that here had been brilliant progress in deployment of Information and Communication Technology (ICT) in the Fertilizer Distribution System during the last few years, but potential of ICT is yet to be fully raped in the overall growth of this industry. This paper basically evaluates the possibilities of enhancing the efficiency and effectiveness of fertilizer distribution system with a well-conceived ICT deployment. Based on the survey done, the need for automated and self-distribution of fertilizer system especially in developing country like India is realized. This can help the farmers for the better understanding and realization of agriculture practices to be adopted in their farming techniques for distribution of fertilizers. The paper also outlines the developing business environment with the passes of the prospects of the fertilizer distribution system.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114852734","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753086
R. Kodali, Subbachari Yerroju, S. Sahu
Agricultural practices need to be transformed in order to overcome future food scarcity due to overpopulation across the globe. By employing emerging, disruptive technologies like IoT in the agricultural sector, it is possible to monitor farm fields using low-cost and low-power consuming devices, to automate irrigation systems for efficient usage of water resources. Weather forecast using IoT can help to plan farm filed activities like sowing, harrowing, harvesting, etc. This reduces negative impacts like yield losses due to uncertain weather changes. LPWAN technologies serve IoT applications in a better possible way so that these applications can overcome bandwidth, power and coverage constraints which are main drawbacks in other wireless communication technologies. In agricultural fields, LoRaWAN protocol or LoRa in LPWAN space gives additional advantages like scalability, security and robustness in designing IoT applications. In this paper, a smart farm monitoring model is proposed. This model utilizes LoRa communication mechanism to send sensor data like temperature (°C), humidity (%) and soil moisture (%) from the transmitter node to receiver node. The receiving node which is Wi-Fi enabled uses MQTT services to monitor the data in IBM Watson IoT platform and to store the same data in IBM cloud DB service.
{"title":"Smart Farm Monitoring Using LoRa Enabled IoT","authors":"R. Kodali, Subbachari Yerroju, S. Sahu","doi":"10.1109/ICGCIOT.2018.8753086","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753086","url":null,"abstract":"Agricultural practices need to be transformed in order to overcome future food scarcity due to overpopulation across the globe. By employing emerging, disruptive technologies like IoT in the agricultural sector, it is possible to monitor farm fields using low-cost and low-power consuming devices, to automate irrigation systems for efficient usage of water resources. Weather forecast using IoT can help to plan farm filed activities like sowing, harrowing, harvesting, etc. This reduces negative impacts like yield losses due to uncertain weather changes. LPWAN technologies serve IoT applications in a better possible way so that these applications can overcome bandwidth, power and coverage constraints which are main drawbacks in other wireless communication technologies. In agricultural fields, LoRaWAN protocol or LoRa in LPWAN space gives additional advantages like scalability, security and robustness in designing IoT applications. In this paper, a smart farm monitoring model is proposed. This model utilizes LoRa communication mechanism to send sensor data like temperature (°C), humidity (%) and soil moisture (%) from the transmitter node to receiver node. The receiving node which is Wi-Fi enabled uses MQTT services to monitor the data in IBM Watson IoT platform and to store the same data in IBM cloud DB service.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203207","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753080
Prahlad, P. M, R. V, Mohammed Riyaz Ahmed
While the major part of wireless communication industry is driven by the motto of ‘Small is Beautiful’, all devices and processing units have been miniaturized owing to Moore’s Law, except antennas. In an attempt to realize compact sized antennas, microstrip antennas have become a prominent and pleasing prospects for this purpose. While transrecieving antennas avoid the need of two separate antennas for transmission and reception, dual band antennas go one step ahead and operate in two bands there by avoiding individual antennas for each band. In this work, a Microstrip patch antenna for WiMax and X band wireless applications is proposed. The antenna shows the resonant behavior at 3.8 and 9 GHz with fractional bandwidths of about 159.2 MHz (3.713 GHz to 3.8722 GHz) for WiMax and 263.4 MHz (8.9053 GHz to 9.1687 GHz) for X band application. The significance of various performance parameters, of proposed antenna’s is analyzed and discussed by various parametric study.
{"title":"Design of Dual-band Microstrip antenna for WiMax and X band applications","authors":"Prahlad, P. M, R. V, Mohammed Riyaz Ahmed","doi":"10.1109/ICGCIOT.2018.8753080","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753080","url":null,"abstract":"While the major part of wireless communication industry is driven by the motto of ‘Small is Beautiful’, all devices and processing units have been miniaturized owing to Moore’s Law, except antennas. In an attempt to realize compact sized antennas, microstrip antennas have become a prominent and pleasing prospects for this purpose. While transrecieving antennas avoid the need of two separate antennas for transmission and reception, dual band antennas go one step ahead and operate in two bands there by avoiding individual antennas for each band. In this work, a Microstrip patch antenna for WiMax and X band wireless applications is proposed. The antenna shows the resonant behavior at 3.8 and 9 GHz with fractional bandwidths of about 159.2 MHz (3.713 GHz to 3.8722 GHz) for WiMax and 263.4 MHz (8.9053 GHz to 9.1687 GHz) for X band application. The significance of various performance parameters, of proposed antenna’s is analyzed and discussed by various parametric study.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130788837","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753045
Dipak Narsale, S. S. Dhamse
This work focused on investigating closed loop model of improved cascaded multilevel inverter fed induction motor drives with active filter to reduce THD. Multilevel inverter emerged as a key factor in industrial drives to maintain speed and reduce THD for high power-medium voltage applications. Conventional inverter fed induction motor drives contain poor quality of voltage and current due to harmonic content which causes energy losses. To reduce THD content and improve power quality supply, a new topology of cascaded multilevel inverter is presented with minimum number of switches. It needed only 9 switches but conventional topology used 20 switches for the same 11 level output. Active filter used to reduce harmonic content. Eleven levels MLI with active filter is simulated with induction motor as load and harmonic spectrum is analyzed with and without filter.
{"title":"Three Phase Improved Cascaded Multilevel Inverter Fed Induction Motor Drives For THD Reduction","authors":"Dipak Narsale, S. S. Dhamse","doi":"10.1109/ICGCIOT.2018.8753045","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753045","url":null,"abstract":"This work focused on investigating closed loop model of improved cascaded multilevel inverter fed induction motor drives with active filter to reduce THD. Multilevel inverter emerged as a key factor in industrial drives to maintain speed and reduce THD for high power-medium voltage applications. Conventional inverter fed induction motor drives contain poor quality of voltage and current due to harmonic content which causes energy losses. To reduce THD content and improve power quality supply, a new topology of cascaded multilevel inverter is presented with minimum number of switches. It needed only 9 switches but conventional topology used 20 switches for the same 11 level output. Active filter used to reduce harmonic content. Eleven levels MLI with active filter is simulated with induction motor as load and harmonic spectrum is analyzed with and without filter.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132966542","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}
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