Pub Date : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063768
P. Preethi, H. Mamatha
Noise reduction has an impact on preprocessing and quality enhancement of images. In this paper noise reduction techniques are applied on Estampages. Estampages are the exact replica of inscriptions and are the source of our ancient history. In preserving and processing for future, image processing techniques are applied. Noise reduction is mainly accomplished using filters, in our study various filters like Median, Gaussian, Wiener, Gabor, Box filtering, order statistics, morphological operations are applied and comparative study is made with respect to Structural similarity index. Suitable filters are combined with morphological operations to draw inference. Hybrid systems for noise reduction having Erosion combined with Wiener/Median followed by dilation processes are applied to test Estampage images. Visible and comparative studies using SSIM have evidenced good result for Erosion-Median-Dilation & Erosion-Wiener-Dilation combinations.
{"title":"Comparative study of basic and hybrid filters for the reduction of noise in Estampages","authors":"P. Preethi, H. Mamatha","doi":"10.1109/ICATIECE45860.2019.9063768","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063768","url":null,"abstract":"Noise reduction has an impact on preprocessing and quality enhancement of images. In this paper noise reduction techniques are applied on Estampages. Estampages are the exact replica of inscriptions and are the source of our ancient history. In preserving and processing for future, image processing techniques are applied. Noise reduction is mainly accomplished using filters, in our study various filters like Median, Gaussian, Wiener, Gabor, Box filtering, order statistics, morphological operations are applied and comparative study is made with respect to Structural similarity index. Suitable filters are combined with morphological operations to draw inference. Hybrid systems for noise reduction having Erosion combined with Wiener/Median followed by dilation processes are applied to test Estampage images. Visible and comparative studies using SSIM have evidenced good result for Erosion-Median-Dilation & Erosion-Wiener-Dilation combinations.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532072","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063841
H. Anantwar, B. R. Laksmikantha, S. Sundar
This paper presents optimized control voltage and frequency of off-grid power system (OPS). The off-grid power system considered in this is having small isolated load supplied by power generation from of wind, PV and Diesel. wind energy converting system (WECS) consist of fixed speed squirrel cage Induction generator (SCIG), Photovoltaic system(PV) is connected through inverter. The other source in the OPS is diesel-genset equipped with governor and synchronous generator (SG) with automatic voltage regulator (AVR). Any variation load power causes frequency and voltage fluctuations. In this work,to regulate voltage through reactive power support, PV inverter is controlled and to regulate frequency the diesel power is controlled, through governor control. Hence, to coordinate control loops of voltage and frequency, are optimized simultaneously.The main contribution of this paper is to develop coordinated optimized control for voltage and frequency of OPS. Proportional integral (PI) controllers are used in the control loops are tuned optimally using on bacterial forging optimization algorithm(BFOA). OPS is simulated for step perturbation of load power (active and reactive) using developed coordinated optimized control.
{"title":"Optimized voltage and frequency control in off-grid Power System","authors":"H. Anantwar, B. R. Laksmikantha, S. Sundar","doi":"10.1109/ICATIECE45860.2019.9063841","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063841","url":null,"abstract":"This paper presents optimized control voltage and frequency of off-grid power system (OPS). The off-grid power system considered in this is having small isolated load supplied by power generation from of wind, PV and Diesel. wind energy converting system (WECS) consist of fixed speed squirrel cage Induction generator (SCIG), Photovoltaic system(PV) is connected through inverter. The other source in the OPS is diesel-genset equipped with governor and synchronous generator (SG) with automatic voltage regulator (AVR). Any variation load power causes frequency and voltage fluctuations. In this work,to regulate voltage through reactive power support, PV inverter is controlled and to regulate frequency the diesel power is controlled, through governor control. Hence, to coordinate control loops of voltage and frequency, are optimized simultaneously.The main contribution of this paper is to develop coordinated optimized control for voltage and frequency of OPS. Proportional integral (PI) controllers are used in the control loops are tuned optimally using on bacterial forging optimization algorithm(BFOA). OPS is simulated for step perturbation of load power (active and reactive) using developed coordinated optimized control.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116230230","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063796
Manasa Sandeep, C. Nandini
No doubt that Internet of things is changing human life. IOT has invaded human life in almost all possible ways. Things are getting smarter with IOT. Kitchen is one such place which has embedded so much of technological advancements in recent years. This paper explains design and implementation of a smart kitchen based on internet of things. The proposed system contains Arduino controller board along with the various sensors integrated with the GSM Module. Mobile app developed can used to monitor the system remotely.
{"title":"Implementation of Iot Based Smart Cooking Environment","authors":"Manasa Sandeep, C. Nandini","doi":"10.1109/ICATIECE45860.2019.9063796","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063796","url":null,"abstract":"No doubt that Internet of things is changing human life. IOT has invaded human life in almost all possible ways. Things are getting smarter with IOT. Kitchen is one such place which has embedded so much of technological advancements in recent years. This paper explains design and implementation of a smart kitchen based on internet of things. The proposed system contains Arduino controller board along with the various sensors integrated with the GSM Module. Mobile app developed can used to monitor the system remotely.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123945511","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063775
C. J, R. Jayapal
This paper deals with automatic generation control (AGC) and Automatic voltage regulator (AVR) in a two-area interconnected deregulated power system with and without direct current (DC) link. Now a day, increase in generation from renewable energy sources (RES) in an integrated power system is keep on increasing significantly. This present work describes a system dynamic model, with thermal generating sources and RES (Solar and wind Power model) for studying the AGC and AVR of system. The secondary controller in the AGC loop is optimally designed and compared by considering the Proportional integral (PI), Proportional integral derivative (PID) and Fuzzy logic controller (FLC). The results show that the FLC with DC link gives the better results as compared with other two controllers. The simulation result reveals that FLC gives better performance with respect to number of overshoots, settling time, peak deviations, and oscillations in both constant and variable distributed participation matrix. All the control strategies are implemented and the simulation results are showed using MATLAB/Simulink.
{"title":"AGC and AVR implementation in a deregulated power system using optimized controller with Renewable integrated DC link","authors":"C. J, R. Jayapal","doi":"10.1109/ICATIECE45860.2019.9063775","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063775","url":null,"abstract":"This paper deals with automatic generation control (AGC) and Automatic voltage regulator (AVR) in a two-area interconnected deregulated power system with and without direct current (DC) link. Now a day, increase in generation from renewable energy sources (RES) in an integrated power system is keep on increasing significantly. This present work describes a system dynamic model, with thermal generating sources and RES (Solar and wind Power model) for studying the AGC and AVR of system. The secondary controller in the AGC loop is optimally designed and compared by considering the Proportional integral (PI), Proportional integral derivative (PID) and Fuzzy logic controller (FLC). The results show that the FLC with DC link gives the better results as compared with other two controllers. The simulation result reveals that FLC gives better performance with respect to number of overshoots, settling time, peak deviations, and oscillations in both constant and variable distributed participation matrix. All the control strategies are implemented and the simulation results are showed using MATLAB/Simulink.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817328","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063849
D. Nagesh Kumar, M. Madhukar, Adarsh Prabhakara, Archana V Marathe, Manoj, Shyam S Bharadwaj
People with speech and hearing disability have to interact with others with the normally abled people who can talk for their routine work. The persons who are deaf-mute throughout the world use a sign language used in their own country or their local language for the communication with other people. But the person who has been trained is able to understand it. Sign language mainly involves the gestures of hand and head which convey their meaning of either letters or words. The non-verbal behaviors such as the shape, orientation of the hand, head movements and body movements are used to express the thought of the speaker. The speech impaired use sign language to communicate. This often is either misinterpreted or falsely identified. This creates a communication gap between the physically disabled and the normal person. Through sign language, the communication gap is overcome and is possible for a deaf-mute person without acoustic sounds and through the means of signs.
{"title":"Sign Language to Speech Conversion — An Assistive System for Speech Impaired","authors":"D. Nagesh Kumar, M. Madhukar, Adarsh Prabhakara, Archana V Marathe, Manoj, Shyam S Bharadwaj","doi":"10.1109/ICATIECE45860.2019.9063849","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063849","url":null,"abstract":"People with speech and hearing disability have to interact with others with the normally abled people who can talk for their routine work. The persons who are deaf-mute throughout the world use a sign language used in their own country or their local language for the communication with other people. But the person who has been trained is able to understand it. Sign language mainly involves the gestures of hand and head which convey their meaning of either letters or words. The non-verbal behaviors such as the shape, orientation of the hand, head movements and body movements are used to express the thought of the speaker. The speech impaired use sign language to communicate. This often is either misinterpreted or falsely identified. This creates a communication gap between the physically disabled and the normal person. Through sign language, the communication gap is overcome and is possible for a deaf-mute person without acoustic sounds and through the means of signs.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123259698","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063831
K. Sowmya, H. R. Chennamma
Video forensics involving passive approach exploits the statistical patterns of the video sequence to measure the integrity of video and detect forgery if it is compromised. Digital videos are susceptible to tampering due to the availability of efficient video processing tools for malevolent purpose. Object based video tampering disturbs under lying natural pattern of the video sequence. Quantal parameters of the spatial moments of a frame in a video provides inherent clue when object based forgery happens. The scalar quantities representing global characteristics of the frames in a video have been exploited to detect suspected frames. Thresholding approach is adopted to distinguish forged frames and original frames in a video sequence. Experiments on the subset of benchmark dataset demonstrate the efficiency of our approach.
{"title":"Object based forgery detection and localization in videos","authors":"K. Sowmya, H. R. Chennamma","doi":"10.1109/ICATIECE45860.2019.9063831","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063831","url":null,"abstract":"Video forensics involving passive approach exploits the statistical patterns of the video sequence to measure the integrity of video and detect forgery if it is compromised. Digital videos are susceptible to tampering due to the availability of efficient video processing tools for malevolent purpose. Object based video tampering disturbs under lying natural pattern of the video sequence. Quantal parameters of the spatial moments of a frame in a video provides inherent clue when object based forgery happens. The scalar quantities representing global characteristics of the frames in a video have been exploited to detect suspected frames. Thresholding approach is adopted to distinguish forged frames and original frames in a video sequence. Experiments on the subset of benchmark dataset demonstrate the efficiency of our approach.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"103 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120864889","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063845
K. Nandini, G. Fathima
Air pollution is one of the influential factors that can affect the quality of every living being in the environment. Monitoring the air pollution is a scathing issue. In this work, air pollutant prediction is done using Machine learning techniques. K Means algorithm is used for clustering and different classifiers such as Multinominal Logistic Regression and Decision Tree algorithms are used to analyze the results based on available data in the R programming language. The results obtained using classifiers are compared based on error rate and accuracy. The multinominal logistic regression model has given high accuracy compared to decision tree model.
{"title":"Urban Air Quality Analysis and Prediction Using Machine Learning","authors":"K. Nandini, G. Fathima","doi":"10.1109/ICATIECE45860.2019.9063845","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063845","url":null,"abstract":"Air pollution is one of the influential factors that can affect the quality of every living being in the environment. Monitoring the air pollution is a scathing issue. In this work, air pollutant prediction is done using Machine learning techniques. K Means algorithm is used for clustering and different classifiers such as Multinominal Logistic Regression and Decision Tree algorithms are used to analyze the results based on available data in the R programming language. The results obtained using classifiers are compared based on error rate and accuracy. The multinominal logistic regression model has given high accuracy compared to decision tree model.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285433","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063783
C. Manasa, Dheeraj D, Deepthi V S
Emotion recognition is gaining more and more importance. Emotional AI systems are allowed to detect, analyze, process and respond to people’s emotional states and moods. One specific application could include car navigation systems that are able to hear a driver start to experience road rage, and react to prevent them from making a rash driving decision. Another similar one could be used to allow automated assistants to change their approach when they hear anger or frustration from a user. Present voice assistance provides information to the user’s speech. This paper focuses on categorizing the emotions and applying statistical measures to identify the similarities among the different features. Preprocessing and Feature recognition is carried out using R statistical tool. The results are analyzed by identifying the similarities using Jaccard, Cosine and correlation similarity measures.
{"title":"Statistical Analysis of Voice Based Emotion Recognition using Similarity Measures","authors":"C. Manasa, Dheeraj D, Deepthi V S","doi":"10.1109/ICATIECE45860.2019.9063783","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063783","url":null,"abstract":"Emotion recognition is gaining more and more importance. Emotional AI systems are allowed to detect, analyze, process and respond to people’s emotional states and moods. One specific application could include car navigation systems that are able to hear a driver start to experience road rage, and react to prevent them from making a rash driving decision. Another similar one could be used to allow automated assistants to change their approach when they hear anger or frustration from a user. Present voice assistance provides information to the user’s speech. This paper focuses on categorizing the emotions and applying statistical measures to identify the similarities among the different features. Preprocessing and Feature recognition is carried out using R statistical tool. The results are analyzed by identifying the similarities using Jaccard, Cosine and correlation similarity measures.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247073","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 : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063809
Sharil Nivitha Rodrigues, P. Sushma, S. Kulkarni
For biomedical applications low power and low transconductance linear transconductor is required. In this paper a low transconductance and high gain transconductance is designed based on based on gate driven input stage for basic Miller OTA. The circuit is then modified to achieve very low transconductance using series parallel PMOS differential current pair technique. The circuits are designed in gpdk 180nm CMOS technology.
{"title":"Design of Low Transconductance Voltage to Current Converter in CMOS","authors":"Sharil Nivitha Rodrigues, P. Sushma, S. Kulkarni","doi":"10.1109/ICATIECE45860.2019.9063809","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063809","url":null,"abstract":"For biomedical applications low power and low transconductance linear transconductor is required. In this paper a low transconductance and high gain transconductance is designed based on based on gate driven input stage for basic Miller OTA. The circuit is then modified to achieve very low transconductance using series parallel PMOS differential current pair technique. The circuits are designed in gpdk 180nm CMOS technology.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631354","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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