Basically, the Medical diagnosis process can be interpreted as a decision making process, during ... more Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. In this paper we focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining K-means clustering and Differential Diagnosis all integrated into one single approach. Here we used different techniques for...
Abstract: Basically, the Medical diagnosis process can be interpreted as a decision making proces... more Abstract: Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. Medi-Query puts to use this vast storage of information so that diagnosis based on this historical data can be made. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. We focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining Neural Netw...
Cancer has been known as one of the death dealing diseases Curing from this spiteful disease is m... more Cancer has been known as one of the death dealing diseases Curing from this spiteful disease is mainly based upon early and exact diagnosis. But early and accurate detection of cancer is critical to the well being of patients. Cancer usually comes from the formation of a tumor. Computer aided diagnosis can be a very good helper in this area. Cancer computer aided diagnosis can be based on gene expression, microscopic images of extracted cell specimens, or radiogram of a whole organ, a survey around these different diagnosis ways has been presented in this paper to be a basis for revolutionary research. Also a new process for prediction, diagnosis and curing from cancer has been suggested by combining multiple old ways for prediction and diagnosis with the new nanotechnology
Finding Outlier detection in data streams has gained broad importance presently due to the increa... more Finding Outlier detection in data streams has gained broad importance presently due to the increasing cases of fraud in various applications of data streams, data cleaning, network monitoring, invasive species monitoring, stock market analysis, detecting outlying cases inmedical data etc. Finding outliers in a collection of patterns is a very well-known problem in the data mining field. An outlier is a pattern which is dissimilar with respect to the rest of the patterns in the dataset. Proposed Method for outlier detection uses hybrid approach. Purpose of approach is first to apply clustering algorithm that is k-means which partition the dataset into number of clusters and then find outliers from the each resulting clusters using distance based method. The principle of outliers finding depend on the threshold. Threshold is set by user. The main objective of the second stage is a finding out the objects, which are far away from their cluster centroids. In proposed approach, two techn...
In today’s world, by increasing the volume of information available in digital libraries, most of... more In today’s world, by increasing the volume of information available in digital libraries, most of the system may be affected by the existence of replicas in their database which causes some issues like performance degradation, increasing operational cost and the lack of quality. This can be removed by the process of record deduplication. The record deduplication refers to identifying the same entity with different representations. This paper presents an record deduplication techniques and algorithms that detect and remove the
Wireless sensor networks have become a growing area of research and become more practicable solut... more Wireless sensor networks have become a growing area of research and become more practicable solution to many challenging applications. Wireless Sensor Network is emerging technology with their limited energy and communication capabilities.WSN provides security and is particularly challenging and its mechanisms are also being the greatest concern to deploy sensor network and monitoring the real world application. The problem of security is due to the wireless nature of the sensor networks. Furthermore, wireless sensor networks have an additional vulnerability because nodes are often placed in a dangerous environment where they are not physically protected. The inclusion of wireless communication technology also incurs various types of security threats.
The liver is the extensive internal organ in the human body. The liver is the second organ most g... more The liver is the extensive internal organ in the human body. The liver is the second organ most generic involved by metastatic disease being liver cancer one of the prominent causes of death worldwide. without healthy liver a person cannot survive. It is life threatening disease which is very challenging perceptible for both medical and engineering technologists. Med-ical image processing is used as a non-invasive method to detect tumours. The chances of survival having liver Tumour highly depends on early detection of Tumour and then classification as cancerous and non-cancerous tumours. Image processing techniques for automatic detection of brain are includes pre-processing and enhancement, image segmentation, classification and volume calculation, Poly techniques have been developed for the detection of liver Tumour and different liver tumour detection algorithms and methodologies utilized for Tumour diagnosis. Novel methodology for the detection and diagnosis of liver Tumour.
The growth of wireless broadband networks is expected to gradually outpace landline communication... more The growth of wireless broadband networks is expected to gradually outpace landline communications because advancements in these technologies have continued to enable higher broadband speeds. This can be attributed to high demand for wireless multimedia services such as data, voice, video, and the development of new wireless standards. This paper explores Wireless broadband network security solution. Worldwide Interoperability for Microwave Access (WiMax) is an emerging fixed broadband network. WiMax Technology security issues, its security mechanism and Wireless broadband network applications. Keywords— Wireless broadband network, WiMax, Encryption, Security, Applications
2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015
The most effective and natural means for human beings is Facial expression that have the dexterit... more The most effective and natural means for human beings is Facial expression that have the dexterity to communicate emotion and regulate inter-personal behaviour. We proposed a novel facial-expression analysis system design that focused on automatically recognize facial expressions and reducing the doubt and confusion between facial-expression classes. The information used in facial expression concentrates mostly on important parts of faces, which gives information of facial regions like mouth, eye and eyebrow. These regions then segmented from the facial expression images. For this, a new Extraction method is introduce to segment efficiently facial feature contours or outline using Vector Field Convolution (VFC) technique. Depending on the detected contours or outlines, extracting facial feature points, this helps in facial-expression deformations. To detect facial features we applied Log Gabor filters and for classification, SVM is applied. Among the detected points, a set of distances classify in model to define prediction rules through data mining technique. These prediction rules are able to classify facial expressions.
This paper Road safety is a major issue of concern; it becomes necessary to implement such a tech... more This paper Road safety is a major issue of concern; it becomes necessary to implement such a technique which is not easy to bypass the basic rule of wearing helmet. Taking this as our aim, we are designing such a system which will make the helmet necessary to wear, thus improve the safety of the biker by using infrared system. Also in case of accidents, the information about the location of the accident site will be informed to the relatives of the injured person, this will make it easy to track the person and give him prompt medical attention, in case if he/she is unconscious. This will be done using the advanced concepts of JAVA Programming (JavaScript, j2me) and GSM concepts and Microcontroller 8051 based circuitry.
Received 15 May 2017, Revised 24 May 2017, Accepted 14 Jun 2017, Online 30 Jun 2017 Abstract— Now... more Received 15 May 2017, Revised 24 May 2017, Accepted 14 Jun 2017, Online 30 Jun 2017 Abstract— Nowadays there is huge amount of data stored in real world databases and this amount continues to grow fast. The major use of anomaly or outlier detection is fraud detection. Health care fraud leads to substantial losses of money each year in many countries. Effective fraud detection is important for reducing the cost of Health care system. Fraud and abuse on medical claims became a major concern for health insurance companies last decades. Fraud involves intentional deception or misrepresentation intended to result in an unauthorized benefit. It is shocking because the incidence of health insurance fraud keeps increasing every year. Data mining which is divided into two learning techniques viz., supervised and unsupervised is employed to detect fraudulent claims. Basically random forest algorithm and logistics regression algorithm techniques are used for fraud detection in health insurance...
Thunderstorm is a sudden electrical expulsion manifested by a blaze of lightening with a sound. I... more Thunderstorm is a sudden electrical expulsion manifested by a blaze of lightening with a sound. It is one of the most spectacular mesoscale weather phenomena in the atmosphere which occurs seasonally. On the other hand, detection of thunderstorms is said to be the most complicated task in weather forecasting. Every thunderstorm produce lightening, kills more people every year. Heavy rain from thunderstorm leads to flooding and causes extensive loss to property and living organisms. In this regards, Saliency Map method is used to make important decision to accurately construct a system. The present research adopted clustering and wavelet transform techniques in order to improve the prediction rate to a greater extent. The study carried on thunderstorm prediction using the clustering and wavelet techniques resulting with higher accuracy. The proposed model yields the accuracy for identification of thunderstorm.
Basically, the Medical diagnosis process can be interpreted as a decision making process, during ... more Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. Medi-Query puts to use this vast storage of information so that diagnosis based on this historical data can be made. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. We focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining Neural Networks, Baye...
International Journal for Research in Applied Science and Engineering Technology
Gesture-based communication Recognition through innovation has been ignored idea even though an e... more Gesture-based communication Recognition through innovation has been ignored idea even though an enormous local area can profit from it. There are more than 3% total population of the world who even can't speak or hear properly. Using hand Gesture-based communication, Every especially impaired people to communicate with each other or rest of world population. It is a way of correspondence for the rest of the world population who are neither speaking and hearing incompetency. Normal people even don't become intimate or close with sign language based communications. It's a reason become a gap between the especially impaired people & ordinary person. The previous systems of the project used to involve the concepts of image generation and emoji symbols. But the previous frameworks of a project are not affordable and not portable for the impaired person.The Main propaganda of a project has always been to interpret Indian Sign Language Standards and American Sign Language Stand...
2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015
As the world of divertissement, expedition, and cyberspace telecommunications become associated d... more As the world of divertissement, expedition, and cyberspace telecommunications become associated different varieties of livelihood document become accesible for innovative use and ceremonial analysis. Expert plan to put together personalized and relational travel package recommendation system for the travelers. Thus, the existing packages are the items and the tourists are the users, and expert uses a actual-world tour data set provided by a travels for making advanced systems. To make actual-world application more sophisticated first expert expand a tourist-area-season-topic (TAST) model,which can useful to discover the interest of the tourist and excerpt the materialistic correlations among landscapes and shows exclusive quality of travel knowledge. Then on the basis of TAST model, cocktail approach is refined for personalized travel package recommendation, which can mingle many desirable necessity that exist in actual-world scenarios, by considering some ordinal components such as periodic behavior of tourist, demand of tour packages, cold start complication of new packages etc. After that, expert extends the TAST model to tourist-relation-area-season-topic (TRAST) model for gaining control relationship among travelers in each travel group. The result shows that TAST model can capture the quality of travel data and personalized approach is much more powerful than the traditional method and TRAST model has ability to capture the relationship among tourist hence, it can be used as an powerful estimation for tour gang arrangementAt the end expert implement the proof of ownership algorithm to provide security to the documents of the tourist by using Digital Self Attested concept.
Basically, the Medical diagnosis process can be interpreted as a decision making process, during ... more Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. In this paper we focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining K-means clustering and Differential Diagnosis all integrated into one single approach. Here we used different techniques for...
Abstract: Basically, the Medical diagnosis process can be interpreted as a decision making proces... more Abstract: Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. Medi-Query puts to use this vast storage of information so that diagnosis based on this historical data can be made. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. We focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining Neural Netw...
Cancer has been known as one of the death dealing diseases Curing from this spiteful disease is m... more Cancer has been known as one of the death dealing diseases Curing from this spiteful disease is mainly based upon early and exact diagnosis. But early and accurate detection of cancer is critical to the well being of patients. Cancer usually comes from the formation of a tumor. Computer aided diagnosis can be a very good helper in this area. Cancer computer aided diagnosis can be based on gene expression, microscopic images of extracted cell specimens, or radiogram of a whole organ, a survey around these different diagnosis ways has been presented in this paper to be a basis for revolutionary research. Also a new process for prediction, diagnosis and curing from cancer has been suggested by combining multiple old ways for prediction and diagnosis with the new nanotechnology
Finding Outlier detection in data streams has gained broad importance presently due to the increa... more Finding Outlier detection in data streams has gained broad importance presently due to the increasing cases of fraud in various applications of data streams, data cleaning, network monitoring, invasive species monitoring, stock market analysis, detecting outlying cases inmedical data etc. Finding outliers in a collection of patterns is a very well-known problem in the data mining field. An outlier is a pattern which is dissimilar with respect to the rest of the patterns in the dataset. Proposed Method for outlier detection uses hybrid approach. Purpose of approach is first to apply clustering algorithm that is k-means which partition the dataset into number of clusters and then find outliers from the each resulting clusters using distance based method. The principle of outliers finding depend on the threshold. Threshold is set by user. The main objective of the second stage is a finding out the objects, which are far away from their cluster centroids. In proposed approach, two techn...
In today’s world, by increasing the volume of information available in digital libraries, most of... more In today’s world, by increasing the volume of information available in digital libraries, most of the system may be affected by the existence of replicas in their database which causes some issues like performance degradation, increasing operational cost and the lack of quality. This can be removed by the process of record deduplication. The record deduplication refers to identifying the same entity with different representations. This paper presents an record deduplication techniques and algorithms that detect and remove the
Wireless sensor networks have become a growing area of research and become more practicable solut... more Wireless sensor networks have become a growing area of research and become more practicable solution to many challenging applications. Wireless Sensor Network is emerging technology with their limited energy and communication capabilities.WSN provides security and is particularly challenging and its mechanisms are also being the greatest concern to deploy sensor network and monitoring the real world application. The problem of security is due to the wireless nature of the sensor networks. Furthermore, wireless sensor networks have an additional vulnerability because nodes are often placed in a dangerous environment where they are not physically protected. The inclusion of wireless communication technology also incurs various types of security threats.
The liver is the extensive internal organ in the human body. The liver is the second organ most g... more The liver is the extensive internal organ in the human body. The liver is the second organ most generic involved by metastatic disease being liver cancer one of the prominent causes of death worldwide. without healthy liver a person cannot survive. It is life threatening disease which is very challenging perceptible for both medical and engineering technologists. Med-ical image processing is used as a non-invasive method to detect tumours. The chances of survival having liver Tumour highly depends on early detection of Tumour and then classification as cancerous and non-cancerous tumours. Image processing techniques for automatic detection of brain are includes pre-processing and enhancement, image segmentation, classification and volume calculation, Poly techniques have been developed for the detection of liver Tumour and different liver tumour detection algorithms and methodologies utilized for Tumour diagnosis. Novel methodology for the detection and diagnosis of liver Tumour.
The growth of wireless broadband networks is expected to gradually outpace landline communication... more The growth of wireless broadband networks is expected to gradually outpace landline communications because advancements in these technologies have continued to enable higher broadband speeds. This can be attributed to high demand for wireless multimedia services such as data, voice, video, and the development of new wireless standards. This paper explores Wireless broadband network security solution. Worldwide Interoperability for Microwave Access (WiMax) is an emerging fixed broadband network. WiMax Technology security issues, its security mechanism and Wireless broadband network applications. Keywords— Wireless broadband network, WiMax, Encryption, Security, Applications
2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015
The most effective and natural means for human beings is Facial expression that have the dexterit... more The most effective and natural means for human beings is Facial expression that have the dexterity to communicate emotion and regulate inter-personal behaviour. We proposed a novel facial-expression analysis system design that focused on automatically recognize facial expressions and reducing the doubt and confusion between facial-expression classes. The information used in facial expression concentrates mostly on important parts of faces, which gives information of facial regions like mouth, eye and eyebrow. These regions then segmented from the facial expression images. For this, a new Extraction method is introduce to segment efficiently facial feature contours or outline using Vector Field Convolution (VFC) technique. Depending on the detected contours or outlines, extracting facial feature points, this helps in facial-expression deformations. To detect facial features we applied Log Gabor filters and for classification, SVM is applied. Among the detected points, a set of distances classify in model to define prediction rules through data mining technique. These prediction rules are able to classify facial expressions.
This paper Road safety is a major issue of concern; it becomes necessary to implement such a tech... more This paper Road safety is a major issue of concern; it becomes necessary to implement such a technique which is not easy to bypass the basic rule of wearing helmet. Taking this as our aim, we are designing such a system which will make the helmet necessary to wear, thus improve the safety of the biker by using infrared system. Also in case of accidents, the information about the location of the accident site will be informed to the relatives of the injured person, this will make it easy to track the person and give him prompt medical attention, in case if he/she is unconscious. This will be done using the advanced concepts of JAVA Programming (JavaScript, j2me) and GSM concepts and Microcontroller 8051 based circuitry.
Received 15 May 2017, Revised 24 May 2017, Accepted 14 Jun 2017, Online 30 Jun 2017 Abstract— Now... more Received 15 May 2017, Revised 24 May 2017, Accepted 14 Jun 2017, Online 30 Jun 2017 Abstract— Nowadays there is huge amount of data stored in real world databases and this amount continues to grow fast. The major use of anomaly or outlier detection is fraud detection. Health care fraud leads to substantial losses of money each year in many countries. Effective fraud detection is important for reducing the cost of Health care system. Fraud and abuse on medical claims became a major concern for health insurance companies last decades. Fraud involves intentional deception or misrepresentation intended to result in an unauthorized benefit. It is shocking because the incidence of health insurance fraud keeps increasing every year. Data mining which is divided into two learning techniques viz., supervised and unsupervised is employed to detect fraudulent claims. Basically random forest algorithm and logistics regression algorithm techniques are used for fraud detection in health insurance...
Thunderstorm is a sudden electrical expulsion manifested by a blaze of lightening with a sound. I... more Thunderstorm is a sudden electrical expulsion manifested by a blaze of lightening with a sound. It is one of the most spectacular mesoscale weather phenomena in the atmosphere which occurs seasonally. On the other hand, detection of thunderstorms is said to be the most complicated task in weather forecasting. Every thunderstorm produce lightening, kills more people every year. Heavy rain from thunderstorm leads to flooding and causes extensive loss to property and living organisms. In this regards, Saliency Map method is used to make important decision to accurately construct a system. The present research adopted clustering and wavelet transform techniques in order to improve the prediction rate to a greater extent. The study carried on thunderstorm prediction using the clustering and wavelet techniques resulting with higher accuracy. The proposed model yields the accuracy for identification of thunderstorm.
Basically, the Medical diagnosis process can be interpreted as a decision making process, during ... more Basically, the Medical diagnosis process can be interpreted as a decision making process, during which the physician induce the diagnosis of a new and unknown case from an available set of clinical data and from his/her clinical experience. Data mining techniques can extract relationships and patterns holding in this wealth of data, and thus be helpful in understanding the progression of diseases and the efficacy of the associated therapies. Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. Medi-Query puts to use this vast storage of information so that diagnosis based on this historical data can be made. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. We focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining Neural Networks, Baye...
International Journal for Research in Applied Science and Engineering Technology
Gesture-based communication Recognition through innovation has been ignored idea even though an e... more Gesture-based communication Recognition through innovation has been ignored idea even though an enormous local area can profit from it. There are more than 3% total population of the world who even can't speak or hear properly. Using hand Gesture-based communication, Every especially impaired people to communicate with each other or rest of world population. It is a way of correspondence for the rest of the world population who are neither speaking and hearing incompetency. Normal people even don't become intimate or close with sign language based communications. It's a reason become a gap between the especially impaired people & ordinary person. The previous systems of the project used to involve the concepts of image generation and emoji symbols. But the previous frameworks of a project are not affordable and not portable for the impaired person.The Main propaganda of a project has always been to interpret Indian Sign Language Standards and American Sign Language Stand...
2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015
As the world of divertissement, expedition, and cyberspace telecommunications become associated d... more As the world of divertissement, expedition, and cyberspace telecommunications become associated different varieties of livelihood document become accesible for innovative use and ceremonial analysis. Expert plan to put together personalized and relational travel package recommendation system for the travelers. Thus, the existing packages are the items and the tourists are the users, and expert uses a actual-world tour data set provided by a travels for making advanced systems. To make actual-world application more sophisticated first expert expand a tourist-area-season-topic (TAST) model,which can useful to discover the interest of the tourist and excerpt the materialistic correlations among landscapes and shows exclusive quality of travel knowledge. Then on the basis of TAST model, cocktail approach is refined for personalized travel package recommendation, which can mingle many desirable necessity that exist in actual-world scenarios, by considering some ordinal components such as periodic behavior of tourist, demand of tour packages, cold start complication of new packages etc. After that, expert extends the TAST model to tourist-relation-area-season-topic (TRAST) model for gaining control relationship among travelers in each travel group. The result shows that TAST model can capture the quality of travel data and personalized approach is much more powerful than the traditional method and TRAST model has ability to capture the relationship among tourist hence, it can be used as an powerful estimation for tour gang arrangementAt the end expert implement the proof of ownership algorithm to provide security to the documents of the tourist by using Digital Self Attested concept.
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