Pub Date : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036441
Honey Singh, Muskan Grover, Mahender Singh, A. Vaish
The inspiration driving this paper is to consider, separate and evaluate the ability of rectangular dielectric resonator getting contraption (DRAs). The paper intends to help a man by giving a brief and correct reference of the work done in the progression of rectangular dielectric resonator antenna from the year 1995 till 2018.
{"title":"Literature review and analysis of rectangular dielectric resonating antenna","authors":"Honey Singh, Muskan Grover, Mahender Singh, A. Vaish","doi":"10.1109/ICISC44355.2019.9036441","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036441","url":null,"abstract":"The inspiration driving this paper is to consider, separate and evaluate the ability of rectangular dielectric resonator getting contraption (DRAs). The paper intends to help a man by giving a brief and correct reference of the work done in the progression of rectangular dielectric resonator antenna from the year 1995 till 2018.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133178278","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036408
Trupti Ghewari, S. Khot, M. D. Khatavkar
Shadow detection and removal efficiency in color images has become most important requirement while processing aerial images. The successive thresholding scheme (STS) is presented in this paper. Scheme increases shadow detection accuracy. In this paper, we have modified ratio map to obtain accurate gap between shadow and non-shadow pixels. The idea is derived from original Tsai's method. The global thresholding scheme is used to classify the pixels into shadow and non-shadow class. The coarse map obtained for candidate shadow pixels is then processed using connected component and candidate shadow region pixels are grouped. The iterative method is used for detecting true shadow pixels. Experimental results show that, the shadow detection correctness of our suggested model based algorithm is analogous to Tsai's algorithm. Dataset of images is tested using both approaches to calculate precision (P), recall (R) and Fscore (F). The results show outstanding performance for our method.
{"title":"Analysis of Model based Shadow Detection and Removal in Color Images","authors":"Trupti Ghewari, S. Khot, M. D. Khatavkar","doi":"10.1109/ICISC44355.2019.9036408","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036408","url":null,"abstract":"Shadow detection and removal efficiency in color images has become most important requirement while processing aerial images. The successive thresholding scheme (STS) is presented in this paper. Scheme increases shadow detection accuracy. In this paper, we have modified ratio map to obtain accurate gap between shadow and non-shadow pixels. The idea is derived from original Tsai's method. The global thresholding scheme is used to classify the pixels into shadow and non-shadow class. The coarse map obtained for candidate shadow pixels is then processed using connected component and candidate shadow region pixels are grouped. The iterative method is used for detecting true shadow pixels. Experimental results show that, the shadow detection correctness of our suggested model based algorithm is analogous to Tsai's algorithm. Dataset of images is tested using both approaches to calculate precision (P), recall (R) and Fscore (F). The results show outstanding performance for our method.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132383574","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036387
Shweta V. Mokhale, Gauri M. Dhopawkar
In the present situation, the rate of increment of information is growing exponentially in the World Wide Web. As such, bifurcating genuine and noteworthy data from such a colossal size of information has turned into a dull issue. As of late, text summarization is viewed as one of the answers for ousting material data from multiple documents. In recent time, the method which proved to be most accurate for text summarization is Natural Language Processing. Content summary is a method of making an outline by diminishing the range of interesting report and relating basic information of extraordinary record. There is a huge rise in data augmentation on Internet. It increases the need of a highly optimise summary in less time. The system of efficient multi document summary generation can be a best achieving this goal. In this paper a survey on various approaches of summarization presented by the researcher is been discussed and studied.
{"title":"A Study on Different Multi-Document Summarization Techniques","authors":"Shweta V. Mokhale, Gauri M. Dhopawkar","doi":"10.1109/ICISC44355.2019.9036387","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036387","url":null,"abstract":"In the present situation, the rate of increment of information is growing exponentially in the World Wide Web. As such, bifurcating genuine and noteworthy data from such a colossal size of information has turned into a dull issue. As of late, text summarization is viewed as one of the answers for ousting material data from multiple documents. In recent time, the method which proved to be most accurate for text summarization is Natural Language Processing. Content summary is a method of making an outline by diminishing the range of interesting report and relating basic information of extraordinary record. There is a huge rise in data augmentation on Internet. It increases the need of a highly optimise summary in less time. The system of efficient multi document summary generation can be a best achieving this goal. In this paper a survey on various approaches of summarization presented by the researcher is been discussed and studied.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096470","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036443
R. K. Megalingam, Racharla Shriya Reddy, Y. Jahnavi, Manaswini Motheram
Voice-based smart home applications have taken a rapid growth in the past few years. Voice recognition is the ability of the system to receive, interpret, analyze and carry out the spoken commands. This paper proposes a ROS based voice - controlled robot, which runs using a differential drive mechanism and takes the voice commands from the user and moves a wheeled robot accordingly. The system is based on a statistical model such as the Hidden Markov Model (HMM). The HMM approach to speech enhancement relies on the Viterbi Algorithm.
{"title":"ROS Based Control of Robot Using Voice Recognition","authors":"R. K. Megalingam, Racharla Shriya Reddy, Y. Jahnavi, Manaswini Motheram","doi":"10.1109/ICISC44355.2019.9036443","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036443","url":null,"abstract":"Voice-based smart home applications have taken a rapid growth in the past few years. Voice recognition is the ability of the system to receive, interpret, analyze and carry out the spoken commands. This paper proposes a ROS based voice - controlled robot, which runs using a differential drive mechanism and takes the voice commands from the user and moves a wheeled robot accordingly. The system is based on a statistical model such as the Hidden Markov Model (HMM). The HMM approach to speech enhancement relies on the Viterbi Algorithm.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129416065","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036429
Humera Shaziya, K. Shyamala, Raniah Zaheer
Segmentation is the process of partitioning an image into distinctive subsets that share similar characteristics. Segmentation is an important prerequisite to semantic image analysis. Segmentation in general is useful in many different applications such as object and face detection and recognition. Particularly in medical image analysis segmentation plays a vital role in efficient processing of images. Segmentation is used to determine the volume of mass, planning of radiotherapy, and detection of artifacts in various organs. In lung cancer diagnosis, segmentation of lungs is the crucial step. Segmenting lungs from nearby structures significantly reduce the execution time of nodule detection and helps improve its efficiency. Lung segmentation is challenging and difficult task considering the heterogeneous nature of lung fields, closeness in gray level of different soft tissues, anatomical variability, and differences in scanners and scanning protocols and dose of radiation. Various automatic and semi-automatic approaches are presented for lung or nodule segmentation. The proposed study is a review of numerous techniques for lung segmentation. The present work investigated lung segmentation methods starting with conventional methods to machine learning techniques and finally the most remarkable methods of deep learning.
{"title":"Comprehensive Review of Automatic Lung Segmentation Techniques on Pulmonary CT Images","authors":"Humera Shaziya, K. Shyamala, Raniah Zaheer","doi":"10.1109/ICISC44355.2019.9036429","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036429","url":null,"abstract":"Segmentation is the process of partitioning an image into distinctive subsets that share similar characteristics. Segmentation is an important prerequisite to semantic image analysis. Segmentation in general is useful in many different applications such as object and face detection and recognition. Particularly in medical image analysis segmentation plays a vital role in efficient processing of images. Segmentation is used to determine the volume of mass, planning of radiotherapy, and detection of artifacts in various organs. In lung cancer diagnosis, segmentation of lungs is the crucial step. Segmenting lungs from nearby structures significantly reduce the execution time of nodule detection and helps improve its efficiency. Lung segmentation is challenging and difficult task considering the heterogeneous nature of lung fields, closeness in gray level of different soft tissues, anatomical variability, and differences in scanners and scanning protocols and dose of radiation. Various automatic and semi-automatic approaches are presented for lung or nodule segmentation. The proposed study is a review of numerous techniques for lung segmentation. The present work investigated lung segmentation methods starting with conventional methods to machine learning techniques and finally the most remarkable methods of deep learning.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130224689","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036376
Deepa Palanisamy, R. Senthilkumar
Remote sensing is the acquisition of physical characteristics (reflecting radiation) of the remote object. It can be collected via special cameras or sensors in the satellite or aircraft or weather balloons. Each remote sensing images has multiple spectral bands. The remote sensing images analysis is used by multiple applications like metrological prediction, Land Cover and Land Usage prediction (LCLU), vegetation change detection. Missing image in the remote sensing time series produces a lot of glitches, causing serious upshot in the multi-temporal analysis, when the images at various time stamps are missing over a period of time. The existing work reconstructs missing image in remote sensing time series via spatial and temporal data. The proposed method Tensor-Deep Stacking Network Spatial-Temporal-Spectral (TDSN-STS) helps to reconstructs the missing image in remote sensing time series using spatial, temporal and spectral data. Thus the accuracy of the reconstructed image in TDSN-STS was increased substantially compared to the existing work.
{"title":"Predicting Missing Image in Remote Sensing Time Series Using Spatial-Temporal-Spectral Data","authors":"Deepa Palanisamy, R. Senthilkumar","doi":"10.1109/ICISC44355.2019.9036376","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036376","url":null,"abstract":"Remote sensing is the acquisition of physical characteristics (reflecting radiation) of the remote object. It can be collected via special cameras or sensors in the satellite or aircraft or weather balloons. Each remote sensing images has multiple spectral bands. The remote sensing images analysis is used by multiple applications like metrological prediction, Land Cover and Land Usage prediction (LCLU), vegetation change detection. Missing image in the remote sensing time series produces a lot of glitches, causing serious upshot in the multi-temporal analysis, when the images at various time stamps are missing over a period of time. The existing work reconstructs missing image in remote sensing time series via spatial and temporal data. The proposed method Tensor-Deep Stacking Network Spatial-Temporal-Spectral (TDSN-STS) helps to reconstructs the missing image in remote sensing time series using spatial, temporal and spectral data. Thus the accuracy of the reconstructed image in TDSN-STS was increased substantially compared to the existing work.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128652926","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036433
K. Pranathi, S. Kranthi, Dr. A. Srisaila
In business open cloud the circulated figuring allows data model advantage re-appropriating. At the endeavor, the proposed work portray & handle situated catchphrase issue for looking for over cloud data. Situated look uncommonly redesigns structure convenience by engaging question yield congruity situating rather than sending undifferentiated outcomes and further ensures the record recuperation precision. This research gives the genuine outcome which is congruity score, which come from recuperation information with aims on situating & sections couple in an information recuperation system to develop an open record.
{"title":"Redistributed Cloud Data with Ranked Keyword Search","authors":"K. Pranathi, S. Kranthi, Dr. A. Srisaila","doi":"10.1109/ICISC44355.2019.9036433","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036433","url":null,"abstract":"In business open cloud the circulated figuring allows data model advantage re-appropriating. At the endeavor, the proposed work portray & handle situated catchphrase issue for looking for over cloud data. Situated look uncommonly redesigns structure convenience by engaging question yield congruity situating rather than sending undifferentiated outcomes and further ensures the record recuperation precision. This research gives the genuine outcome which is congruity score, which come from recuperation information with aims on situating & sections couple in an information recuperation system to develop an open record.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699101","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036422
Dileep Dharmappa, F. B. Singh, B. N. Ramakrishna
Atomic clocks are fundamental elements of a Satellite Navigation system due to its high accuracy and stability. Different clock technologies are used in satellites and in satellite navigation ground stations. The improvised clock technologies help in acquiring the position and timing with greater accuracy. To ensure the timing capabilities and position accuracy, the analysis of atomic clock performances is essential. The fundamental SI unit of time namely one Second or Second is derived from the caesium clock and hence caesium clocks serve as the primary frequency standards. caesium clocks are used in Satellite Navigation systems to obtain the accuracy and long term stability. In this work results of long term monitoring of caesium clock parameters during a clock failure conditions are presented and a new method is proposed for monitoring caesium frequency standard. The clock jumps may not be detected only by observing health parameters, hence in this paper a method is proposed for clock jump detection. The proposed method helps to detect the jumps in the clock and also helps in preventive maintenance of caesium clocks including the future failure predictions and hence helps to avoid sudden operations failure in a mission critical operational network.
{"title":"Caesium Atomic Clock Behaviour Analysis Method (CSBAM) for GNSS systems","authors":"Dileep Dharmappa, F. B. Singh, B. N. Ramakrishna","doi":"10.1109/ICISC44355.2019.9036422","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036422","url":null,"abstract":"Atomic clocks are fundamental elements of a Satellite Navigation system due to its high accuracy and stability. Different clock technologies are used in satellites and in satellite navigation ground stations. The improvised clock technologies help in acquiring the position and timing with greater accuracy. To ensure the timing capabilities and position accuracy, the analysis of atomic clock performances is essential. The fundamental SI unit of time namely one Second or Second is derived from the caesium clock and hence caesium clocks serve as the primary frequency standards. caesium clocks are used in Satellite Navigation systems to obtain the accuracy and long term stability. In this work results of long term monitoring of caesium clock parameters during a clock failure conditions are presented and a new method is proposed for monitoring caesium frequency standard. The clock jumps may not be detected only by observing health parameters, hence in this paper a method is proposed for clock jump detection. The proposed method helps to detect the jumps in the clock and also helps in preventive maintenance of caesium clocks including the future failure predictions and hence helps to avoid sudden operations failure in a mission critical operational network.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183564","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036332
B. Reddy, D. Sowjanya
Designing a controller for D.C motor under disturbance conditions and variations in parameters is a demanding assignment. To achieve requirements SMC strategy is used in this paper. SMC technique is a widely used robust controller, which is incentive to parameter variation and disturbance conditions. Here, in this paper, Sliding Mode controller is designed to monitor the speed of a DC motor. The suggested controller has designed by using unit vector approach. The effectiveness of the controller in supervising the dynamics of the D.C motor is verified by MATLAB.Simulations are presented in order to demonstrate the good achievement of the proposed control strategy.
{"title":"Control of D.C Motor Using Sliding Mode Control Under Disturbance Conditions","authors":"B. Reddy, D. Sowjanya","doi":"10.1109/ICISC44355.2019.9036332","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036332","url":null,"abstract":"Designing a controller for D.C motor under disturbance conditions and variations in parameters is a demanding assignment. To achieve requirements SMC strategy is used in this paper. SMC technique is a widely used robust controller, which is incentive to parameter variation and disturbance conditions. Here, in this paper, Sliding Mode controller is designed to monitor the speed of a DC motor. The suggested controller has designed by using unit vector approach. The effectiveness of the controller in supervising the dynamics of the D.C motor is verified by MATLAB.Simulations are presented in order to demonstrate the good achievement of the proposed control strategy.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566342","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036363
Kalpanaseelam, C. Jayalakshmi, K. Prasanti
Now a days all things are connected in smarter way by using Internet of Things. The aim of connected vehicle technology is to solve some of the major issues in the transportation in the area of safety, mobility and environment. This paper proposed a system for ambulance clearance, stolen vehicle detection, accident detection and sending traffic information to nearby junctions displaying the count of vehicles. The microcontroller continuously exchanges the traffic information with nearby junctions through Internet of Things technology. It allows the travelers to take a smart decision in choosing their route.
{"title":"Smart Vehicle Connectivity for Safety Applications using IOT","authors":"Kalpanaseelam, C. Jayalakshmi, K. Prasanti","doi":"10.1109/ICISC44355.2019.9036363","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036363","url":null,"abstract":"Now a days all things are connected in smarter way by using Internet of Things. The aim of connected vehicle technology is to solve some of the major issues in the transportation in the area of safety, mobility and environment. This paper proposed a system for ambulance clearance, stolen vehicle detection, accident detection and sending traffic information to nearby junctions displaying the count of vehicles. The microcontroller continuously exchanges the traffic information with nearby junctions through Internet of Things technology. It allows the travelers to take a smart decision in choosing their route.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122691587","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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