Pub Date : 2019-03-01DOI: 10.1109/ICATIECE45860.2019.9063777
P. V, N. Sriraam, S. Suresh
Fetal echocardiography uses ultrasound technique to view heart of the baby even when the baby is in the mother’s womb. Obstetricians refer the patients to undergo this procedure if they find any suspicious conditions of having defects in the fetal heart. This test is done usually during 2nd trimester. Fetal ultrasound measurements are one of the most important factors for high quality obstetrics health care in order to estimate the Gestational age, exact delivery date and growth of the fetus.The standard 2D ultrasound imaging technique examines the fetal heart in different views. The information related to the cardiac size, structure, rhythm and movement can be obtained in four chamber view. Various congenital defects can be visualized by the examination of fetal cardiac chambers. It is very difficult to locate the cardiac chambers and do the relevant measurement, hence it is challenging work to researchers of biomedical community.A semi automated method of segmentation has been proposed in this experimental study to segment the fetal heart chambers using Possibilistic c-means clustering technique. The Ultrasonic images of fetal heart having four – chambers in apical view was used in order to do the study with simulation. The input fetal cardiac frame was denoised and enhanced. The enhancement of the input image was carried out by converting it in to gray image. This was then converted to binarized image. On the selected chambers the region growing technique followed by PCM was used to segment the cardiac chambers. Finally the region properties were used to measure the ventricles that is the left ventricle and right ventricle of the fetal heart and LV/RV estimation is done based on standard values.The ratio of the width of left ventricle and right ventricle were calculated which closely matched with the theoretical width considered as the standard for different gestation week. The proposed semi – automated technique need to be validated before being used for assessment as the clinical tool by large datasets.
{"title":"Hybrid Segmentation Approach to Segment Fetal Cardiac Chambers of Ultrasound images","authors":"P. V, N. Sriraam, S. Suresh","doi":"10.1109/ICATIECE45860.2019.9063777","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063777","url":null,"abstract":"Fetal echocardiography uses ultrasound technique to view heart of the baby even when the baby is in the mother’s womb. Obstetricians refer the patients to undergo this procedure if they find any suspicious conditions of having defects in the fetal heart. This test is done usually during 2nd trimester. Fetal ultrasound measurements are one of the most important factors for high quality obstetrics health care in order to estimate the Gestational age, exact delivery date and growth of the fetus.The standard 2D ultrasound imaging technique examines the fetal heart in different views. The information related to the cardiac size, structure, rhythm and movement can be obtained in four chamber view. Various congenital defects can be visualized by the examination of fetal cardiac chambers. It is very difficult to locate the cardiac chambers and do the relevant measurement, hence it is challenging work to researchers of biomedical community.A semi automated method of segmentation has been proposed in this experimental study to segment the fetal heart chambers using Possibilistic c-means clustering technique. The Ultrasonic images of fetal heart having four – chambers in apical view was used in order to do the study with simulation. The input fetal cardiac frame was denoised and enhanced. The enhancement of the input image was carried out by converting it in to gray image. This was then converted to binarized image. On the selected chambers the region growing technique followed by PCM was used to segment the cardiac chambers. Finally the region properties were used to measure the ventricles that is the left ventricle and right ventricle of the fetal heart and LV/RV estimation is done based on standard values.The ratio of the width of left ventricle and right ventricle were calculated which closely matched with the theoretical width considered as the standard for different gestation week. The proposed semi – automated technique need to be validated before being used for assessment as the clinical tool by large datasets.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"212 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":"134130618","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/ICATIECE45860.2019.9063772
Shuchi Dhir, Sumithra Devi K.A
In order to replace existing business processes within Governments with transparent and accountable technology driven transactions, implementation of Digital Signing technology is imperative. Absence of digital signing during Government transactions will make such transactions repudiable, thus making it difficult to fix accountability. In spite of the fact that digital signing is an essential requirement for implementation of any e-governance solution, its use in large-scale Government information and communications technology (ICT) implementations is negligible. We did a study of a popular financial management information system (FMIS) in India, to identify the reasons behind such low level acceptance of digital signing technology in Government ICT implementations. This paper is a culmination of the results yielded by our study and a solution derived for it. This paper proposes an architecture, which focus on fingerprint driven digital signing, using Aadhaar Authentication API provided by The Unique Identification Authority of India (UIDAI).
{"title":"UIDBA: Unique Identity & Biometric Based Architecture for E-governance Solutions","authors":"Shuchi Dhir, Sumithra Devi K.A","doi":"10.1109/ICATIECE45860.2019.9063772","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063772","url":null,"abstract":"In order to replace existing business processes within Governments with transparent and accountable technology driven transactions, implementation of Digital Signing technology is imperative. Absence of digital signing during Government transactions will make such transactions repudiable, thus making it difficult to fix accountability. In spite of the fact that digital signing is an essential requirement for implementation of any e-governance solution, its use in large-scale Government information and communications technology (ICT) implementations is negligible. We did a study of a popular financial management information system (FMIS) in India, to identify the reasons behind such low level acceptance of digital signing technology in Government ICT implementations. This paper is a culmination of the results yielded by our study and a solution derived for it. This paper proposes an architecture, which focus on fingerprint driven digital signing, using Aadhaar Authentication API provided by The Unique Identification Authority of India (UIDAI).","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"101 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":"115419715","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/ICATIECE45860.2019.9063788
Ishita Banerjee, P. Madhumathy
Clustering is a popular research area in designing routing protocols in the field of wireless sensor network. This paper proposes an agent cluster based routing protocol which will subdivide the cluster into independent subgroups according to the satisfaction list. The independent sub groups are associated with an agent node that can communicate to the cluster head. The proposed agent cluster based routing algorithm is created keeping into consideration to reduce the energy consumption while transmitting data from node to cluster head. The agent node is chosen based on the satisfaction list which reduces the chances of agent node die out problem thus enhancing the network reliability and lifetime. Applications such as green house, agriculture field monitoring, where reliability and energy efficiency more important than data transmission rate this proposed protocol is suitable to implement.
{"title":"An Agent Cluster Based Routing Protocol for Enhancing Lifetime of Wireless Sensor Network","authors":"Ishita Banerjee, P. Madhumathy","doi":"10.1109/ICATIECE45860.2019.9063788","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063788","url":null,"abstract":"Clustering is a popular research area in designing routing protocols in the field of wireless sensor network. This paper proposes an agent cluster based routing protocol which will subdivide the cluster into independent subgroups according to the satisfaction list. The independent sub groups are associated with an agent node that can communicate to the cluster head. The proposed agent cluster based routing algorithm is created keeping into consideration to reduce the energy consumption while transmitting data from node to cluster head. The agent node is chosen based on the satisfaction list which reduces the chances of agent node die out problem thus enhancing the network reliability and lifetime. Applications such as green house, agriculture field monitoring, where reliability and energy efficiency more important than data transmission rate this proposed protocol is suitable to implement.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","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":"115491145","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/ICATIECE45860.2019.9063847
B. S, Praneeth R H, T. M., C. Gururaj
Artificial Intelligence is the most happening thing these days, A.I helps bring out the most productivity and is capable of making quick and suitable decisions on its own without human intervention. We thought that there is a necessity to develop a device for customer experience enhancement using artificial intelligence having the prowess to connect and interplay with each other with one of the most humane forms of interaction, voice. We aim to present the concept and rationale backing the voice interaction system, the shortcomings in the current structure. We are taking movie booking as an example for the customer experience. Basically, our project is of a movie-ticketing bot, that makes booking movies possible only through voice.
{"title":"Customer Experience Enhancement Using Artificial Intelligence","authors":"B. S, Praneeth R H, T. M., C. Gururaj","doi":"10.1109/ICATIECE45860.2019.9063847","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063847","url":null,"abstract":"Artificial Intelligence is the most happening thing these days, A.I helps bring out the most productivity and is capable of making quick and suitable decisions on its own without human intervention. We thought that there is a necessity to develop a device for customer experience enhancement using artificial intelligence having the prowess to connect and interplay with each other with one of the most humane forms of interaction, voice. We aim to present the concept and rationale backing the voice interaction system, the shortcomings in the current structure. We are taking movie booking as an example for the customer experience. Basically, our project is of a movie-ticketing bot, that makes booking movies possible only through voice.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"163 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":"114549859","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/ICATIECE45860.2019.9063789
Ananya D. Ojha, Sai Yerremreddy, Ananya Navelkar, Jainam Soni, Pramod J. Bide
Representing around 6.6% of the cancer cases in women, Cervical Cancer is the fourth most common cancer in women. Cancer is a pernicious disease marked by rapid multiplication and growth of malignant cells in the body. The threat that it poses is evident from the fact that it is the second leading cause of death worldwide and consumes about 1 in 6 individuals worldwide. Of all the types of cancer, Cervical Cancer is the eighth most occurring cancer. Cancer causing infections, such as hepatitis and Human Papilloma Virus (HPV), are accountable for nearly 25% of cancer instances in low- and middle-income countries. Diagnosed in around 122,844 women in India and the cause of death for 67,477 women, this morbid disease can be best tackled when there is early diagnosis. It occurs when there is an aberrant growth of the cells of the cervix which further infect other tissues of the body. The lower part of the uterus that connects it with vagina is the cervix. The abnormal growth of cells mentioned earlier is caused by Human Papilloma Virus (HPV) infection, a sexually transmitted infection.The infection spreads in three stages of Cervical Intra-epithelial Neoplasia (CIN), and finally the most severe stage results in the onset of Cervical Cancer. This paper aims at implementing various Machine Learning Methodologies for first detecting the likelihood of transmission of HPV infection, the leading cause of Cervical Cancer by using a questionnaire involving questions related to the sexual activity of the individuals. Later, it aims at classifying the stage of Cervical Intra-Epithelial Neoplasia which can help in diagnosis and early treatment of the disease, to avert the onset of Cervical Cancer. For achieving this, we use a set of classifiers on the personal and medical detail provided by the user for predicting the likelihood of onset of cervical cancer in stage 1. In stage 2, image processing techniques are used to obtain features which are then given to the classifier to classify them into precancerous stages.
{"title":"A Two stage approach for Detection of Invasive and Cervical Intra-Epithelial Neoplasia using Machine Learning and Image Processing Methodologies","authors":"Ananya D. Ojha, Sai Yerremreddy, Ananya Navelkar, Jainam Soni, Pramod J. Bide","doi":"10.1109/ICATIECE45860.2019.9063789","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063789","url":null,"abstract":"Representing around 6.6% of the cancer cases in women, Cervical Cancer is the fourth most common cancer in women. Cancer is a pernicious disease marked by rapid multiplication and growth of malignant cells in the body. The threat that it poses is evident from the fact that it is the second leading cause of death worldwide and consumes about 1 in 6 individuals worldwide. Of all the types of cancer, Cervical Cancer is the eighth most occurring cancer. Cancer causing infections, such as hepatitis and Human Papilloma Virus (HPV), are accountable for nearly 25% of cancer instances in low- and middle-income countries. Diagnosed in around 122,844 women in India and the cause of death for 67,477 women, this morbid disease can be best tackled when there is early diagnosis. It occurs when there is an aberrant growth of the cells of the cervix which further infect other tissues of the body. The lower part of the uterus that connects it with vagina is the cervix. The abnormal growth of cells mentioned earlier is caused by Human Papilloma Virus (HPV) infection, a sexually transmitted infection.The infection spreads in three stages of Cervical Intra-epithelial Neoplasia (CIN), and finally the most severe stage results in the onset of Cervical Cancer. This paper aims at implementing various Machine Learning Methodologies for first detecting the likelihood of transmission of HPV infection, the leading cause of Cervical Cancer by using a questionnaire involving questions related to the sexual activity of the individuals. Later, it aims at classifying the stage of Cervical Intra-Epithelial Neoplasia which can help in diagnosis and early treatment of the disease, to avert the onset of Cervical Cancer. For achieving this, we use a set of classifiers on the personal and medical detail provided by the user for predicting the likelihood of onset of cervical cancer in stage 1. In stage 2, image processing techniques are used to obtain features which are then given to the classifier to classify them into precancerous stages.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"42 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":"125598253","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/ICATIECE45860.2019.9063851
Shikha Ambastha, Sharath Umesh, S. Asokan
Tactile sensation is one of the most important sensory inputs extensively used by the humans for their perception. It is an important parameter for diverse biomedical and industrial applications involving robotic system intervention. The present study proposes design and development of a real time dynamic haptic force monitoring system for human grasping of various objects employing Fiber Bragg Grating sensor. The dynamic force variation on the index finger during grasping of an object with minimum force application is determined by the Fiber Bragg Grating based Haptic Device (FBGHD). The FBGHD comprises of a wearable glove provided with a base plate fixed on the distal phalanx of the index finger and a tactile plate, where both the plates are held together by supporting cylindrical beams. When an object is grasped wearing the glove, the supporting beam experiences a compressive strain which is an indicator of the haptic grasp force. The induced strain is sensed and monitored by fiber Bragg grating sensor bonded over the surface of the beam. Two categories of experiments for estimating effective haptic grasp force are conducted on incremental weights and further on random objects with varying weights, dimensions and texture. FBGHD acts a sensing element for a robotic system for haptic sensing of force application on an object grasp, that can be extensively utilized during robotic based healthcare or industrial application.
{"title":"Force sensing for object grasp with fiber Bragg grating based wearable haptic device","authors":"Shikha Ambastha, Sharath Umesh, S. Asokan","doi":"10.1109/ICATIECE45860.2019.9063851","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063851","url":null,"abstract":"Tactile sensation is one of the most important sensory inputs extensively used by the humans for their perception. It is an important parameter for diverse biomedical and industrial applications involving robotic system intervention. The present study proposes design and development of a real time dynamic haptic force monitoring system for human grasping of various objects employing Fiber Bragg Grating sensor. The dynamic force variation on the index finger during grasping of an object with minimum force application is determined by the Fiber Bragg Grating based Haptic Device (FBGHD). The FBGHD comprises of a wearable glove provided with a base plate fixed on the distal phalanx of the index finger and a tactile plate, where both the plates are held together by supporting cylindrical beams. When an object is grasped wearing the glove, the supporting beam experiences a compressive strain which is an indicator of the haptic grasp force. The induced strain is sensed and monitored by fiber Bragg grating sensor bonded over the surface of the beam. Two categories of experiments for estimating effective haptic grasp force are conducted on incremental weights and further on random objects with varying weights, dimensions and texture. FBGHD acts a sensing element for a robotic system for haptic sensing of force application on an object grasp, that can be extensively utilized during robotic based healthcare or industrial application.","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":"127019192","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/ICATIECE45860.2019.9063829
N. M, N. Kaulgud
Images captured may suffer from attenuation due to the transmission medium and scattering of the air-light. When the weather is foggy the scattering is more, so the attenuation is also to a larger extent resulting in degraded image. Most of the automated and computer vision based systems (like image classification and retrieval, vehicle navigation aids, remote sensing etc.,) which depend on the image captured outdoor may not work effectively with the degraded images. Several researches have been done to enhance the foggy images captured outdoor and indoor. Amongst them Dark Channel Prior with guided filtering is a traditional method, while Color Attenuation Prior is a linear model developed based on the relation between depth of the scene, brightness, concentration of the fog and saturation of the image. But an algorithm will be effective and efficient if it can be implemented with available resources and consumes less processing time. We compare in this paper the performances of two dehazing algorithms using different platforms like Windows and Unix and different tools like Matlab and OpenCv python. The comparison shows that OpenCv python implementation is much faster and cost effective than Matlab tool since Matlab is a proprietory tool whereas OpenCv python is an open source.
{"title":"Performance Comparison of Dehazing Algorithms on different platforms","authors":"N. M, N. Kaulgud","doi":"10.1109/ICATIECE45860.2019.9063829","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063829","url":null,"abstract":"Images captured may suffer from attenuation due to the transmission medium and scattering of the air-light. When the weather is foggy the scattering is more, so the attenuation is also to a larger extent resulting in degraded image. Most of the automated and computer vision based systems (like image classification and retrieval, vehicle navigation aids, remote sensing etc.,) which depend on the image captured outdoor may not work effectively with the degraded images. Several researches have been done to enhance the foggy images captured outdoor and indoor. Amongst them Dark Channel Prior with guided filtering is a traditional method, while Color Attenuation Prior is a linear model developed based on the relation between depth of the scene, brightness, concentration of the fog and saturation of the image. But an algorithm will be effective and efficient if it can be implemented with available resources and consumes less processing time. We compare in this paper the performances of two dehazing algorithms using different platforms like Windows and Unix and different tools like Matlab and OpenCv python. The comparison shows that OpenCv python implementation is much faster and cost effective than Matlab tool since Matlab is a proprietory tool whereas OpenCv python is an open source.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"15 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":"126763203","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/ICATIECE45860.2019.9063839
S. Vemuri, Y. V, Prudhvi Raj. Y, Nandi Vardhan H. R.
Navigation is an emerging field and in the recent past extensive research is being carried out. Navigation can be broadly differentiated into Indoor Navigation and Outdoor Navigation[1]. Outdoor Navigation immediately recollects of the one with GPS which is most popularly used these days. Absence of such a technology would probably lose the entire world as its importance has been world widely proved by lot many. GPS doesn’t function appropriately indoor because of which an alternate solution is necessary. The key idea of this step counting assistant which works on accelerometer and gyroscopic sensor is to track the path been walked upon which is further projected to a robot that can help in household managements i.e., cleaning the room, watering in the garden, accessing the household appliances and controlling them. It can also be used outdoor where GPS footprint is quite less like in deep jungles, uneven lands, too many of irregular steps, etc. Many people these days use handy objects such as wristbands, step counting apps, etc. This assistant can also serve the same purpose. Existing step detection techniques, both hardware and software, does not satisfactorily cater the accuracies demanded by localization systems especially at low walking speeds observed in natural walking.
{"title":"Step Counting Navigation Assistant","authors":"S. Vemuri, Y. V, Prudhvi Raj. Y, Nandi Vardhan H. R.","doi":"10.1109/ICATIECE45860.2019.9063839","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063839","url":null,"abstract":"Navigation is an emerging field and in the recent past extensive research is being carried out. Navigation can be broadly differentiated into Indoor Navigation and Outdoor Navigation[1]. Outdoor Navigation immediately recollects of the one with GPS which is most popularly used these days. Absence of such a technology would probably lose the entire world as its importance has been world widely proved by lot many. GPS doesn’t function appropriately indoor because of which an alternate solution is necessary. The key idea of this step counting assistant which works on accelerometer and gyroscopic sensor is to track the path been walked upon which is further projected to a robot that can help in household managements i.e., cleaning the room, watering in the garden, accessing the household appliances and controlling them. It can also be used outdoor where GPS footprint is quite less like in deep jungles, uneven lands, too many of irregular steps, etc. Many people these days use handy objects such as wristbands, step counting apps, etc. This assistant can also serve the same purpose. Existing step detection techniques, both hardware and software, does not satisfactorily cater the accuracies demanded by localization systems especially at low walking speeds observed in natural walking.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"30 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":"131982184","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/ICATIECE45860.2019.9063792
R. S. Raj, Sanjay D S, K. M, S. Sampath
Several chronic diseases have affected the human health in the recent times. Many diseases are widespread and caused severe damage on the mankind. The technological advances have proved most of the diseases can be cured in this medical era, but certain diseases can only be prevented but not cured, one among them is diabetes. In this paper, we report a medical case by considering electronic health records of diabetic patients from various sources. The analyses are carried out using two data mining classification algorithms such as Naive Bayes and Support Vector Machine. The aim of the analysis is to predict diabetes using health record and compare the accuracy of these two algorithms to find a better algorithm for predicting diabetes.
{"title":"Comparison of Support Vector Machine and Naïve Bayes Classifiers for Predicting Diabetes","authors":"R. S. Raj, Sanjay D S, K. M, S. Sampath","doi":"10.1109/ICATIECE45860.2019.9063792","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063792","url":null,"abstract":"Several chronic diseases have affected the human health in the recent times. Many diseases are widespread and caused severe damage on the mankind. The technological advances have proved most of the diseases can be cured in this medical era, but certain diseases can only be prevented but not cured, one among them is diabetes. In this paper, we report a medical case by considering electronic health records of diabetic patients from various sources. The analyses are carried out using two data mining classification algorithms such as Naive Bayes and Support Vector Machine. The aim of the analysis is to predict diabetes using health record and compare the accuracy of these two algorithms to find a better algorithm for predicting diabetes.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"41 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":"130120749","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/ICATIECE45860.2019.9063824
Roopak S, Athira P. Vijayaraghavan, Tony Thomas
Phishing is a social engineering method to steal user credentials through data entry forms from malicious websites. Currently available anti-malware softwares can only detect black listed phishing websites. Similarity based detection methods such as visual similarity can be easily evaded by making some changes in the textual and visual contents of a phishing site. The phishing behavior of a web page can be identified from its URL, domain and source code based features. However, URL and domain based features can be easily defeated by using black hat SEO techniques. In this paper, we extract the relevant rules based on webpage source code and Secure Socket Layering (SSL) based features from a training dataset using Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm. Further, we check for the presence of these rules in a test dataset. Our implementation results show that the webpage source code based rules can identify phishing websites with an accuracy of 0.92.
{"title":"On Effectiveness of Source Code and SSL Based Features for Phishing Website Detection","authors":"Roopak S, Athira P. Vijayaraghavan, Tony Thomas","doi":"10.1109/ICATIECE45860.2019.9063824","DOIUrl":"https://doi.org/10.1109/ICATIECE45860.2019.9063824","url":null,"abstract":"Phishing is a social engineering method to steal user credentials through data entry forms from malicious websites. Currently available anti-malware softwares can only detect black listed phishing websites. Similarity based detection methods such as visual similarity can be easily evaded by making some changes in the textual and visual contents of a phishing site. The phishing behavior of a web page can be identified from its URL, domain and source code based features. However, URL and domain based features can be easily defeated by using black hat SEO techniques. In this paper, we extract the relevant rules based on webpage source code and Secure Socket Layering (SSL) based features from a training dataset using Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm. Further, we check for the presence of these rules in a test dataset. Our implementation results show that the webpage source code based rules can identify phishing websites with an accuracy of 0.92.","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"32 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":"134006138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：