Pub Date : 2019-03-01DOI: 10.1109/ICONSTEM.2019.8918903
A. Siva, C. Balaji, V. Akileshwaran, N. Hemanathan
In this paper our new idea describes the alternative of transformer oil. One of the mainly significant equipment in electrical power system is Transformer. For the most part of the transformers are by means of oil as the cooling Medium and normally use fuel base oil. mainly the cause of choosing petroleum based oil as transformer oil for the reason that it have a superior dielectric strength and cooling concert. Though the usage of Transformer oil has unnatural the surroundings as its non-biodegrability possessions and nonrenewable resources. So the Mineral oil or Transformer oil was replaced by alternatives such as combination of Jatropha oil and silk cotton oil of Ethyl Ester(SCOEE) due to their biodegradability and environmental friendly. Basically Jatropha oil and SCOEE has high dielectric property. The various blends were prepared using Jatropha oil (J) and SCOEE (S) in the ratio of J80 -S20 and S80 - J20. Several Physical, Chemical and Electrical tests were carried out. On the combination of Jatropha oil and SCOEE and their blends using advanced testing devices in oil - testing laboratory. The test results were compared with Indian Standards IS - 335(1993), which describes about the characteristics of non insulating oils. It was found that the test results of combination of Jatropha oil and SCOEE were in good agreement with IS. Hence it can be conclude that the combination of Jatropha oil and SCOEE has good performance characteristics in terms of insulation and Cooling property, which make it suitable to use it as alternative conventional transformer oil in future.
{"title":"Experimental Analysis on the Combination of Jatropha Oil and Silk Cotton Oil for Transformer","authors":"A. Siva, C. Balaji, V. Akileshwaran, N. Hemanathan","doi":"10.1109/ICONSTEM.2019.8918903","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918903","url":null,"abstract":"In this paper our new idea describes the alternative of transformer oil. One of the mainly significant equipment in electrical power system is Transformer. For the most part of the transformers are by means of oil as the cooling Medium and normally use fuel base oil. mainly the cause of choosing petroleum based oil as transformer oil for the reason that it have a superior dielectric strength and cooling concert. Though the usage of Transformer oil has unnatural the surroundings as its non-biodegrability possessions and nonrenewable resources. So the Mineral oil or Transformer oil was replaced by alternatives such as combination of Jatropha oil and silk cotton oil of Ethyl Ester(SCOEE) due to their biodegradability and environmental friendly. Basically Jatropha oil and SCOEE has high dielectric property. The various blends were prepared using Jatropha oil (J) and SCOEE (S) in the ratio of J80 -S20 and S80 - J20. Several Physical, Chemical and Electrical tests were carried out. On the combination of Jatropha oil and SCOEE and their blends using advanced testing devices in oil - testing laboratory. The test results were compared with Indian Standards IS - 335(1993), which describes about the characteristics of non insulating oils. It was found that the test results of combination of Jatropha oil and SCOEE were in good agreement with IS. Hence it can be conclude that the combination of Jatropha oil and SCOEE has good performance characteristics in terms of insulation and Cooling property, which make it suitable to use it as alternative conventional transformer oil in future.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"10 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":"126429815","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/ICONSTEM.2019.8918918
I. Kalaivani, A. Oliver, R. Pugalenthi, P. N. Jeipratha, A. Jeena, G. Saranya
Using brain magnetic resonance Images a machine based software is developed for segmentation and to classify tumor type as benign and malignant. In this study, the MRI image enhanced using contrast improvement technique, double thresholding is done using morphological operations and skull striping process is used mainly to remove unwanted non cerebral tissues from MR image, The brain tumor segmentation is done in a slice of Magnetic Resonance (MR) Image where massive abnormal cells are localized and tumor region that are sliced are segmented by machine learning classifiers like KNN. fuzzy C-mean. k-means. Feature are derived using GLCM and those features are trained in such a way it produce accurate segmentation of tumor region is done in less computation time and therefore, in proposed system, features derived from the GLCM. so that the segmentation of tumor region using triple technique K-means. KNN and FCM can be done accurately and efficiently. Accuracy and error rate is calculated for brain MRI image using triple technique Means, FCM and KNN.
{"title":"Brain Tumor Segmentation Using Machine Learning Classifier","authors":"I. Kalaivani, A. Oliver, R. Pugalenthi, P. N. Jeipratha, A. Jeena, G. Saranya","doi":"10.1109/ICONSTEM.2019.8918918","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918918","url":null,"abstract":"Using brain magnetic resonance Images a machine based software is developed for segmentation and to classify tumor type as benign and malignant. In this study, the MRI image enhanced using contrast improvement technique, double thresholding is done using morphological operations and skull striping process is used mainly to remove unwanted non cerebral tissues from MR image, The brain tumor segmentation is done in a slice of Magnetic Resonance (MR) Image where massive abnormal cells are localized and tumor region that are sliced are segmented by machine learning classifiers like KNN. fuzzy C-mean. k-means. Feature are derived using GLCM and those features are trained in such a way it produce accurate segmentation of tumor region is done in less computation time and therefore, in proposed system, features derived from the GLCM. so that the segmentation of tumor region using triple technique K-means. KNN and FCM can be done accurately and efficiently. Accuracy and error rate is calculated for brain MRI image using triple technique Means, FCM and KNN.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"196 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":"115652720","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/ICONSTEM.2019.8918817
S. Mary, A. Sasithradevi, S. M. Roomi, J. J. Immanuvel
Image Retrieval (IR) framework enables the user to search query images in order to retrieve images stored in the database according to their advantage. Content Based Image Retrieval (CBIR) is a technique which uses visual features of an image such as color, shape and texture feature to retrieve images of user interest. The major issue that exists in any CBIR system is semantic gap and computational time. Hence this work aims to provide an exchange off between computational time and accuracy. To extract the color, texture and shape feature, the RGB color histogram from the three independent color channels, Local Binary Pattern (LBP) from the gray scale image Histogram of oriented gradients are derived respectively. These three features are concatenated to obtain the feature vector of the images in the database. The dimensionality of the feature vector is reduced by Linear Discriminant Analysis (LDA). The compact feature vector set is trained using Random Vector Functional Link (RVFL) network to create the knowledge base. In the testing phase, once the user rises a query, the query feature vector is derived for the corresponding query image and tested against the knowledge base using RVFL classifier. Using the class code obtained by RVFL classifier, the images are retrieved using Minkowski distance. The performance of the proposed algorithm is validated by evaluating it on a Corel Image database using metrics like precision, Recall and F-score. The proposed feature combination along with LDA and RVFL provides better results in retrieving the query image.
{"title":"A Random Vector Functional Link Network Based Content Based Image Retrieval","authors":"S. Mary, A. Sasithradevi, S. M. Roomi, J. J. Immanuvel","doi":"10.1109/ICONSTEM.2019.8918817","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918817","url":null,"abstract":"Image Retrieval (IR) framework enables the user to search query images in order to retrieve images stored in the database according to their advantage. Content Based Image Retrieval (CBIR) is a technique which uses visual features of an image such as color, shape and texture feature to retrieve images of user interest. The major issue that exists in any CBIR system is semantic gap and computational time. Hence this work aims to provide an exchange off between computational time and accuracy. To extract the color, texture and shape feature, the RGB color histogram from the three independent color channels, Local Binary Pattern (LBP) from the gray scale image Histogram of oriented gradients are derived respectively. These three features are concatenated to obtain the feature vector of the images in the database. The dimensionality of the feature vector is reduced by Linear Discriminant Analysis (LDA). The compact feature vector set is trained using Random Vector Functional Link (RVFL) network to create the knowledge base. In the testing phase, once the user rises a query, the query feature vector is derived for the corresponding query image and tested against the knowledge base using RVFL classifier. Using the class code obtained by RVFL classifier, the images are retrieved using Minkowski distance. The performance of the proposed algorithm is validated by evaluating it on a Corel Image database using metrics like precision, Recall and F-score. The proposed feature combination along with LDA and RVFL provides better results in retrieving the query image.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","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":"123807658","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/ICONSTEM.2019.8918785
Jaimahaprabhu A, P. V, Gangadharan P S, B. Latha
ImplementingData Analytics and Artificial Intelligence in Indian rural farms enhances crop productivity. Our system involves Real-time farm monitoring, Cloud data analytics, and a mobile application. We sense soil moisture, soil pH, light intensity and soil nutrient content from soil. In a cloud server, we perform predictive analytics on sensed data, soil type, landscape, climate, day-to-day market price, and farmer's economy. The system predicts suitable crops and fertilizers using Artificial Intelligence algorithms. The application also includes marketing and community platform. Marketing platform links vendors with farmers for selling crops for good price. Community platform provides guidance to the farmers by officials, experts, and other farmers. Collected data will be used in Big Data Analytics for further advancements. The system monitors the farm for 30 days either by drone or human agent for analysis. From the central stations, human agent transfers the sensed data. Information on climatic changes, natural calamities, and government schemes are provided. System furnishes storage places for crops, pesticides, and market prices of crops information. The main aspect is to provide better harvesting to increase crop productivity and good profit for farmers.
{"title":"Cloud Analytics based Farming with Predictive Analytics using Artificial Intelligence","authors":"Jaimahaprabhu A, P. V, Gangadharan P S, B. Latha","doi":"10.1109/ICONSTEM.2019.8918785","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918785","url":null,"abstract":"ImplementingData Analytics and Artificial Intelligence in Indian rural farms enhances crop productivity. Our system involves Real-time farm monitoring, Cloud data analytics, and a mobile application. We sense soil moisture, soil pH, light intensity and soil nutrient content from soil. In a cloud server, we perform predictive analytics on sensed data, soil type, landscape, climate, day-to-day market price, and farmer's economy. The system predicts suitable crops and fertilizers using Artificial Intelligence algorithms. The application also includes marketing and community platform. Marketing platform links vendors with farmers for selling crops for good price. Community platform provides guidance to the farmers by officials, experts, and other farmers. Collected data will be used in Big Data Analytics for further advancements. The system monitors the farm for 30 days either by drone or human agent for analysis. From the central stations, human agent transfers the sensed data. Information on climatic changes, natural calamities, and government schemes are provided. System furnishes storage places for crops, pesticides, and market prices of crops information. The main aspect is to provide better harvesting to increase crop productivity and good profit for farmers.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"8 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":"125644626","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/ICONSTEM.2019.8918901
J. Jeslin, P. M. Kumar
Distributed Cloud computing provides an infinite amount of virtualized resources as assets to purchasers over the whole net, whereas obscure stage and execution subtleties. With the enormous development of online computerized substance, distributed storage centers on viably be a part of warehousing assets for higher power use and value adequacy. Data deduplication is one among imperative information pressure methodology for annihilating copy duplicates of rehashing information, and has been usually used in distributed storage to minimize the overhead of the additional threshold space in order to spare the bandwidth in transmission. So as to accomplish security and benefit approval focalized encryption alongside pow convention is utilized. In this paper we are concentrating the approved information deduplication to give the information security by utilizing differential benefits of clients in the cloud design
{"title":"A Study on Information Protection Requirement in Different Deduplication Systems","authors":"J. Jeslin, P. M. Kumar","doi":"10.1109/ICONSTEM.2019.8918901","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918901","url":null,"abstract":"Distributed Cloud computing provides an infinite amount of virtualized resources as assets to purchasers over the whole net, whereas obscure stage and execution subtleties. With the enormous development of online computerized substance, distributed storage centers on viably be a part of warehousing assets for higher power use and value adequacy. Data deduplication is one among imperative information pressure methodology for annihilating copy duplicates of rehashing information, and has been usually used in distributed storage to minimize the overhead of the additional threshold space in order to spare the bandwidth in transmission. So as to accomplish security and benefit approval focalized encryption alongside pow convention is utilized. In this paper we are concentrating the approved information deduplication to give the information security by utilizing differential benefits of clients in the cloud design","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"4 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":"122474129","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/ICONSTEM.2019.8918786
O. Sabnis, L. R
In India, a huge country with the largest railway network in the world at almost 1,20,000 kilometers has a huge problem of railway collisions. There have been multiple news stories ranging from the death of 13 children in Uttar Pradesh, India to 5 elephants dying due to railway related accidents. Most of these issues are due to the lack of management at railway crossings. Human monitoring has been a proposed solution, however, due to India's sheer scale, it is very difficult to monitor every crossing, especially in the rural and forested areas. In this paper, we are proposing a system that can automate the monitoring of railway crossings. We plan on finding out the most frequented railway crossings and fixing an overhead camera at the scene, which can monitor the crossing. This feed will be fed into a SSD object detection algorithm that will detect an object in the feed. Once the object has been detected, the object will be monitored and if the object has been on the track or in the vicinity of the tracks, an alert will be sent to the train stations to both the stations closest to the object - saying the trains needs to slow down in this area. The object detected will be transferred to the operator as well who can give the driver an idea what to do - honk for humans and slow down for animals for example. We feel that this will effectively reduce the collisions and solve the problem of railway collisions.
{"title":"A novel object detection system for improving safety at unmanned railway crossings","authors":"O. Sabnis, L. R","doi":"10.1109/ICONSTEM.2019.8918786","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918786","url":null,"abstract":"In India, a huge country with the largest railway network in the world at almost 1,20,000 kilometers has a huge problem of railway collisions. There have been multiple news stories ranging from the death of 13 children in Uttar Pradesh, India to 5 elephants dying due to railway related accidents. Most of these issues are due to the lack of management at railway crossings. Human monitoring has been a proposed solution, however, due to India's sheer scale, it is very difficult to monitor every crossing, especially in the rural and forested areas. In this paper, we are proposing a system that can automate the monitoring of railway crossings. We plan on finding out the most frequented railway crossings and fixing an overhead camera at the scene, which can monitor the crossing. This feed will be fed into a SSD object detection algorithm that will detect an object in the feed. Once the object has been detected, the object will be monitored and if the object has been on the track or in the vicinity of the tracks, an alert will be sent to the train stations to both the stations closest to the object - saying the trains needs to slow down in this area. The object detected will be transferred to the operator as well who can give the driver an idea what to do - honk for humans and slow down for animals for example. We feel that this will effectively reduce the collisions and solve the problem of railway collisions.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"1 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":"130315722","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/ICONSTEM.2019.8918853
Vrutant Patel
Recently induction motor drives have numerous high power submissions. These submissions demand high power converter but the cost of the converter is very high. To resolve this, for some specific high power application multiphase induction motor drive found suitable alternative. In this paper, mathematical modelling of widely accepted multiphase machine, i.e., six-phase asymmetrical machine is carried out first. The mathematical model is used to perform simulation analysis for adjustable drives applications. Under this, various scalar control techniques referred as SPWM, conventional SVPWM techniques are analyzed. Simulation analysis in relations of Stator current THD and torque ripple are presented.
{"title":"Analysis of Different Speed Control Techniques for A Six-Phase Asymmetrical Induction Motor Drive","authors":"Vrutant Patel","doi":"10.1109/ICONSTEM.2019.8918853","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918853","url":null,"abstract":"Recently induction motor drives have numerous high power submissions. These submissions demand high power converter but the cost of the converter is very high. To resolve this, for some specific high power application multiphase induction motor drive found suitable alternative. In this paper, mathematical modelling of widely accepted multiphase machine, i.e., six-phase asymmetrical machine is carried out first. The mathematical model is used to perform simulation analysis for adjustable drives applications. Under this, various scalar control techniques referred as SPWM, conventional SVPWM techniques are analyzed. Simulation analysis in relations of Stator current THD and torque ripple are presented.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"25 3.4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125722","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/ICONSTEM.2019.8918922
M. A. Helan, S. P. Lekha
Increasing the clarity of visually impaired images is a vital problem in the area of PC vision. There are numerous algorithms for increasing clarity in visually impaired images. For improving feature detection in images the utilization of gray level measurements, edge detection, shading uniqueness and the scale choice have additionally been abused for enhancing the images. The fundamental target of edge location is to order object all the more precisely in shifting review condition. Environmental condition severely affects detection and location of object in image. Item introduction and zoom factor additionally disable location of articles. Another methodology for improving edge detection, image enhancement and image goals is the improved Phase Stretch Transform. The Phase Stretch Transform is recently introduced as a computational approach for image processing. By using this method the brightness of the image is improved for various ranges of intensities. For further improvement in dynamic range sobel algorithm is applied and it is compared with Phase Stretch Transform.
{"title":"Enhancement of Visually Impaired Image Using Phase Stretch Transform","authors":"M. A. Helan, S. P. Lekha","doi":"10.1109/ICONSTEM.2019.8918922","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918922","url":null,"abstract":"Increasing the clarity of visually impaired images is a vital problem in the area of PC vision. There are numerous algorithms for increasing clarity in visually impaired images. For improving feature detection in images the utilization of gray level measurements, edge detection, shading uniqueness and the scale choice have additionally been abused for enhancing the images. The fundamental target of edge location is to order object all the more precisely in shifting review condition. Environmental condition severely affects detection and location of object in image. Item introduction and zoom factor additionally disable location of articles. Another methodology for improving edge detection, image enhancement and image goals is the improved Phase Stretch Transform. The Phase Stretch Transform is recently introduced as a computational approach for image processing. By using this method the brightness of the image is improved for various ranges of intensities. For further improvement in dynamic range sobel algorithm is applied and it is compared with Phase Stretch Transform.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"273 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":"124414414","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/ICONSTEM.2019.8918730
S. Shakthidhar, P. Srikrishnan, S. Santhosh, M. Sandhya
With the advent of innovation and automation, convenience and simplicity has permeated all walks of life. Home automation is one such emerging technology which empowers the residents to have wireless, ubiquitous and computerized control over the household gadgets. Some popular ways to implement wireless connectivity amongst the connected devices are cellular networks, IR sensors, Bluetooth, ZigBee frameworks and Wi-Fi networks with each type having its intrinsic strengths and setbacks. There are a plethora of IoT setups available but most of them have restricted compatibility and are tailor-made for manufacturer supported devices. In order to overcome these difficulties and provide a cost efficient solution, a generic, all product supporting Wi-Fi based remote home automation scheme using an Arduino UNO (microcontroller), an 8 channel Relay module and a NodeMcu (Wi-Fi module) is proposed in this paper. Naive users are familiar with Wi-Fi as it is already used in consumer electronics sector. They can utilise their existing hotspots with minimal additional infrastructure for new IoT applications. Therefore, a Wi-Fi based system brings down the cost by eliminating the need to buy expensive auxiliaries. Being compatible with the Internet Protocol (IP), a significantly higher number of devices can be connected to the internet when Wi-Fi is used. Firebase functions as the cloud hosted real-time database assisting data exchange and synchronisation. The connected devices are monitored and controlled through a mobile application from anywhere across the globe. Additionally, voice based control can be provided with the integration of Google Assistant. The device statistics are visually presented as charts to provide the users an overview of their usage.
{"title":"Arduino and NodeMcu based Ingenious Household Objects Monitoring and Control Environment","authors":"S. Shakthidhar, P. Srikrishnan, S. Santhosh, M. Sandhya","doi":"10.1109/ICONSTEM.2019.8918730","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918730","url":null,"abstract":"With the advent of innovation and automation, convenience and simplicity has permeated all walks of life. Home automation is one such emerging technology which empowers the residents to have wireless, ubiquitous and computerized control over the household gadgets. Some popular ways to implement wireless connectivity amongst the connected devices are cellular networks, IR sensors, Bluetooth, ZigBee frameworks and Wi-Fi networks with each type having its intrinsic strengths and setbacks. There are a plethora of IoT setups available but most of them have restricted compatibility and are tailor-made for manufacturer supported devices. In order to overcome these difficulties and provide a cost efficient solution, a generic, all product supporting Wi-Fi based remote home automation scheme using an Arduino UNO (microcontroller), an 8 channel Relay module and a NodeMcu (Wi-Fi module) is proposed in this paper. Naive users are familiar with Wi-Fi as it is already used in consumer electronics sector. They can utilise their existing hotspots with minimal additional infrastructure for new IoT applications. Therefore, a Wi-Fi based system brings down the cost by eliminating the need to buy expensive auxiliaries. Being compatible with the Internet Protocol (IP), a significantly higher number of devices can be connected to the internet when Wi-Fi is used. Firebase functions as the cloud hosted real-time database assisting data exchange and synchronisation. The connected devices are monitored and controlled through a mobile application from anywhere across the globe. Additionally, voice based control can be provided with the integration of Google Assistant. The device statistics are visually presented as charts to provide the users an overview of their usage.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"109 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":"133814552","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/ICONSTEM.2019.8918832
D. David
Modified or Changed telemedicine structure helped diagnostics kept up screening and reviewing of diabetic retinopathy ceaseless supply of retinal wounds in fundus pictures. A totally unprecedented method for revamp exposure of each cut back scale aneurysms and hemorrhages in shading fundus pictures is laid out and imperative. The most obligations are another game-plan of edge decisions, known as Unique shape choices, that don't require amend division of the areas to be inquired. These choices address the difference in the shape in the midst of picture flooding and permit to isolate among wounds and vessel parcels. The Red Lesions are recognized using Lively contour by preprocessing the images followed by removing the disc and extraction of candidates. Then classification of fundus images is done by applying all the candidates gathered. It ends up being strong with monstrosity variability in picture affirmation, quality and obtaining structure.
{"title":"Lively Contour Facets for Red Lesion Recognition","authors":"D. David","doi":"10.1109/ICONSTEM.2019.8918832","DOIUrl":"https://doi.org/10.1109/ICONSTEM.2019.8918832","url":null,"abstract":"Modified or Changed telemedicine structure helped diagnostics kept up screening and reviewing of diabetic retinopathy ceaseless supply of retinal wounds in fundus pictures. A totally unprecedented method for revamp exposure of each cut back scale aneurysms and hemorrhages in shading fundus pictures is laid out and imperative. The most obligations are another game-plan of edge decisions, known as Unique shape choices, that don't require amend division of the areas to be inquired. These choices address the difference in the shape in the midst of picture flooding and permit to isolate among wounds and vessel parcels. The Red Lesions are recognized using Lively contour by preprocessing the images followed by removing the disc and extraction of candidates. Then classification of fundus images is done by applying all the candidates gathered. It ends up being strong with monstrosity variability in picture affirmation, quality and obtaining structure.","PeriodicalId":164463,"journal":{"name":"2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)","volume":"49 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113974238","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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