Shrikant D Kale is currently working as Assistant Professor in Electronics and Telecommunication Engineering Department of Jagadambha College of Engineering and Technology, Yavatmal.
Diabetes is one of the major diseases of the population across the world which has the ability to... more Diabetes is one of the major diseases of the population across the world which has the ability to cause a worldwide health hazard. World Health Organization (WHO) Estimates that there will be approximately 422 million people are living with diabetes around the world. this number will be increased to 592 million. by 2035 It is a disease caused due to increase in the level of blood glucose. Diabetes affects human organs such as kidney, eye, heart, nerves, foot etc. Various traditional methods are available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex interdependence on various factors. Following its development, a new challenging area in the field of artificial intelligence has been opened and an accurate prediction method of diabetes has been targeted by researchers. The objective of this paper is to develop a system that can offer a precise early prediction of diabetes for a patient with the help of artificial intelligence technique. The datasets consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI), insulin level, age, number of pregnancies the patient had (for female) and some others. Based on these parameters, prediction of diabetes, applying artificial intelligence technique, described in this article, seems quite satisfactory.
The main aim of this paper is to protect the crop from animals. In agriculture field human-animal... more The main aim of this paper is to protect the crop from animals. In agriculture field human-animal conflict is a major problem; due to this we lost the crops. By this proposal we protect the crops without damaging the animals. This system detects the animal by using arduino. This system uses PIR sensor for detecting the animal movement and send signal to arduino controller using GSM module. This system diverts the animals by producing the sound and also send message to farmer.
In India most of the population are android users and use Google maps in exigency to search and l... more In India most of the population are android users and use Google maps in exigency to search and locate the emergency services such as Hospitals, Medical Store etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. So we have designed and developed Android Based Mobile HELP Application for the categorized emergency services namely Hospitals, Medical Stores, Pathology Lab. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the categorized emergency services available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. Using share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. Using calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile able track the desired service.
INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN SCIENCE AND ENGINEERING,, 2022
In India most of the population are android users and use google maps in exigency to search and l... more In India most of the population are android users and use google maps in exigency to search and locate the emergency services such as Hospitals, Medical Store etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. Also, the categorized list of all emergency services is not available at any platform with the contact details. So, we have designed and developed Android Based Mobile HELP Application for the six categorized emergency services namely Hospitals, Medical Stores, Police station, Fire Brigade, Hotels and Garage. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the six categorized emergency services, by selecting a particular emergency service shows the list of available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. The share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. It is helpful to those who don't have a HELP App on their phones. The calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results in the HELP Android Application which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile Phone able track the desired service.
International Journal of Scientific Research and Engineering Development, 2022
In India most of the population are android users and use Google maps in exigency to search and l... more In India most of the population are android users and use Google maps in exigency to search and locate the emergency services such as Fire Brigade, Police station Garage etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. So we have designed and developed Android Based Mobile HELP Application for the categorized emergency services namely Hospitals, Medical Stores, Pathology Lab. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the categorized emergency services available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. Using share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. Using calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile able track the desired service.
International Journal of Advanced Innovative Technology in Engineering (IJAITE), Vol. 4, Issue 2, 2019
Diabetes is one of the major diseases of the population across the world which has the ability to... more Diabetes is one of the major diseases of the population across the world which has the ability to cause a worldwide
health hazard. World Health Organization (WHO) Estimates that there will be approximately 422 million people are living with
diabetes around the world. this number will be increased to 592 million. by 2035 It is a disease caused due to increase in the level
of blood glucose. Diabetes affects human organs such as kidney, eye, heart, nerves, foot etc. Various traditional methods are
available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex
interdependence on various factors. . One of these methods is using artificial intelligence systems and in particular is the use of
Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to predict whether a person is diabetic or
not. The criterion was to minimize the error function in neural network training using a neural network model. The datasets
consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI),
insulin level, age, number of pregnancies the patient had (for female) and some others. The criterion was to minimize the error
function in neural network training using a neural network model.
A texture analysis of medical images gives the quantitative information about the tissue characte... more A texture analysis of medical images gives the quantitative information about the tissue characterization & internal structure of organs for possible pathology. The physician deducing the useful information concerning internal body parts for the pathology or lesions. This is the till subjective matter of concern & thus to provide the objectification of disease diagnosis from the medical image, this paper gives the idea for thyroid nodule diagnosis using texture of the ultrasound images. Thyroid gland is located at the base of the neck, just below Adam’s apple which produces hormones that control body metabolism. The nodules are found in thyroid may be benign or malignant. In this paper, gray level co-occurrence matrix (GLCM) is used as the texture characterization technique. The 10 GLCM feature are selected for feature extraction & GLCM matrix is calculated for four different orientation & different pixel distance from 1 to 15. The extracted features are classified using SVM classif...
A thyroid is largest endocrine gland, a butterfly shape with two lobes which produces hormones th... more A thyroid is largest endocrine gland, a butterfly shape with two lobes which produces hormones that control body metabolism. The nodules are found in thyroid may be benign or malignant. The ultrasound (US) preferred over the other medical imaging modalities which is used to observe the subcutaneous body structures & internal organs for possible pathology or lesions. The physicians are deducing useful information concerning the tissue characterization and structure which is still subjective matter, Thus quantitative analysis of US images give the objective method for thyroid nodule diagnosis. In this paper, gray level co-occurrence matrix (GLCM) texture characterization techniques are used for feature extraction & extracted features are classified using scaled conjugate gradient backpropagation training neural network (SCGBNN) for diagnosis of thyroid nodule are described. The experimental results show the performance measure of SCG backpropagation training neural network in terms cl...
In this globalize economic development era, the market research is very much importance to surviv... more In this globalize economic development era, the market research is very much importance to survive in the competitive world. Market competition between individual enterprises has changed into competition between supply chains. Collaborative Planning, Forecasting and Replenishment (CPFR) which is an application of Supply Chain Management concepts in the retailing to coordinate the supply chain management activities between retailers and manufacturers. In this paper, a collaborative model is prepared based on conventional forecasting method with the help of c program and case study is carried out of daily need product requirement for next month utilizing previous month sales record.
A thyroid is largest endocrine gland, butterfly shape with two lobes which produces hormones that... more A thyroid is largest endocrine gland, butterfly shape with two lobes which produces hormones that control metabolism body functions. The nodules are found in thyroid may be benign or malignant. The ultrasound (US) preferred over the other medical imaging modalities which is used to observe the subcutaneous body structures & internal organs for possible pathology or lesions. The physicians are deducing useful information concerning the tissue characterization and structure which is still subjective matter, Thus quantitative analysis of US images give the objective method for thyroid nodule diagnosis. In this paper, gray level co-occurrence matrix (GLCM) texture characterization techniques are used for feature extraction & extracted features are classified using adaptive resonance theory neural network (ART1) for diagnosis of thyroid nodule are described. The experimental results show the performance measure of classifier in terms of accuracy for the different vigilance parameter of A...
In this globalize economic development era, the market research is very much importance to surviv... more In this globalize economic development era, the market research is very much importance to survive in the competitive world. Market competition between individual enterprises has changed into competition between supply chains. Collaborative Planning, Forecasting and Replenishment (CPFR) which is an application of Supply Chain Management concepts in the retailing to coordinate the supply chain management activities between retailers and manufacturers. In this paper, a collaborative model is prepared based on conventional forecasting method with the help of c program and case study is carried out of daily need product requirement for next month utilizing previous month sales record.
Diabetes is one of the major diseases of the population across the world which has the ability to... more Diabetes is one of the major diseases of the population across the world which has the ability to cause a worldwide health hazard. World Health Organization (WHO) Estimates that there will be approximately 422 million people are living with diabetes around the world. this number will be increased to 592 million. by 2035 It is a disease caused due to increase in the level of blood glucose. Diabetes affects human organs such as kidney, eye, heart, nerves, foot etc. Various traditional methods are available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex interdependence on various factors. Following its development, a new challenging area in the field of artificial intelligence has been opened and an accurate prediction method of diabetes has been targeted by researchers. The objective of this paper is to develop a system that can offer a precise early prediction of diabetes for a patient with the help of artificial intelligence technique. The datasets consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI), insulin level, age, number of pregnancies the patient had (for female) and some others. Based on these parameters, prediction of diabetes, applying artificial intelligence technique, described in this article, seems quite satisfactory.
The main aim of this paper is to protect the crop from animals. In agriculture field human-animal... more The main aim of this paper is to protect the crop from animals. In agriculture field human-animal conflict is a major problem; due to this we lost the crops. By this proposal we protect the crops without damaging the animals. This system detects the animal by using arduino. This system uses PIR sensor for detecting the animal movement and send signal to arduino controller using GSM module. This system diverts the animals by producing the sound and also send message to farmer.
In India most of the population are android users and use Google maps in exigency to search and l... more In India most of the population are android users and use Google maps in exigency to search and locate the emergency services such as Hospitals, Medical Store etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. So we have designed and developed Android Based Mobile HELP Application for the categorized emergency services namely Hospitals, Medical Stores, Pathology Lab. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the categorized emergency services available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. Using share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. Using calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile able track the desired service.
INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN SCIENCE AND ENGINEERING,, 2022
In India most of the population are android users and use google maps in exigency to search and l... more In India most of the population are android users and use google maps in exigency to search and locate the emergency services such as Hospitals, Medical Store etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. Also, the categorized list of all emergency services is not available at any platform with the contact details. So, we have designed and developed Android Based Mobile HELP Application for the six categorized emergency services namely Hospitals, Medical Stores, Police station, Fire Brigade, Hotels and Garage. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the six categorized emergency services, by selecting a particular emergency service shows the list of available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. The share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. It is helpful to those who don't have a HELP App on their phones. The calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results in the HELP Android Application which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile Phone able track the desired service.
International Journal of Scientific Research and Engineering Development, 2022
In India most of the population are android users and use Google maps in exigency to search and l... more In India most of the population are android users and use Google maps in exigency to search and locate the emergency services such as Fire Brigade, Police station Garage etc. When the user searches for a specific hospital, Google Map shows all possible Hospitals that are at a far distance from the user. So we have designed and developed Android Based Mobile HELP Application for the categorized emergency services namely Hospitals, Medical Stores, Pathology Lab. This Android application is built using the Android studio platform using react native frameworks and Java Script, JSON language as front end and XML as backend application development. The Dashboard of HELP Application displays the categorized emergency services available services with their contact details, Email ID and the address nearest to the user, also this HELP application provides the share button, calling button, Email button and Map Button. Using share button, the user can share the details with others through various applications such as Telegram, Whatsapp, Email and SMS etc. Using calling button, the user can call directly to the desired services through the HELP App. The Google Map button helps the user to track the required categorized emergency services. Integration of Google Maps API (Application Programming Interface) using Firebase gives optimized search results which also gives the additional information such as time required to reach the desired destination, acquaintances in the nearer area, which is useful for the visitor or needy peoples to locate and use of GPS of the Mobile able track the desired service.
International Journal of Advanced Innovative Technology in Engineering (IJAITE), Vol. 4, Issue 2, 2019
Diabetes is one of the major diseases of the population across the world which has the ability to... more Diabetes is one of the major diseases of the population across the world which has the ability to cause a worldwide
health hazard. World Health Organization (WHO) Estimates that there will be approximately 422 million people are living with
diabetes around the world. this number will be increased to 592 million. by 2035 It is a disease caused due to increase in the level
of blood glucose. Diabetes affects human organs such as kidney, eye, heart, nerves, foot etc. Various traditional methods are
available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex
interdependence on various factors. . One of these methods is using artificial intelligence systems and in particular is the use of
Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to predict whether a person is diabetic or
not. The criterion was to minimize the error function in neural network training using a neural network model. The datasets
consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI),
insulin level, age, number of pregnancies the patient had (for female) and some others. The criterion was to minimize the error
function in neural network training using a neural network model.
A texture analysis of medical images gives the quantitative information about the tissue characte... more A texture analysis of medical images gives the quantitative information about the tissue characterization & internal structure of organs for possible pathology. The physician deducing the useful information concerning internal body parts for the pathology or lesions. This is the till subjective matter of concern & thus to provide the objectification of disease diagnosis from the medical image, this paper gives the idea for thyroid nodule diagnosis using texture of the ultrasound images. Thyroid gland is located at the base of the neck, just below Adam’s apple which produces hormones that control body metabolism. The nodules are found in thyroid may be benign or malignant. In this paper, gray level co-occurrence matrix (GLCM) is used as the texture characterization technique. The 10 GLCM feature are selected for feature extraction & GLCM matrix is calculated for four different orientation & different pixel distance from 1 to 15. The extracted features are classified using SVM classif...
A thyroid is largest endocrine gland, a butterfly shape with two lobes which produces hormones th... more A thyroid is largest endocrine gland, a butterfly shape with two lobes which produces hormones that control body metabolism. The nodules are found in thyroid may be benign or malignant. The ultrasound (US) preferred over the other medical imaging modalities which is used to observe the subcutaneous body structures & internal organs for possible pathology or lesions. The physicians are deducing useful information concerning the tissue characterization and structure which is still subjective matter, Thus quantitative analysis of US images give the objective method for thyroid nodule diagnosis. In this paper, gray level co-occurrence matrix (GLCM) texture characterization techniques are used for feature extraction & extracted features are classified using scaled conjugate gradient backpropagation training neural network (SCGBNN) for diagnosis of thyroid nodule are described. The experimental results show the performance measure of SCG backpropagation training neural network in terms cl...
In this globalize economic development era, the market research is very much importance to surviv... more In this globalize economic development era, the market research is very much importance to survive in the competitive world. Market competition between individual enterprises has changed into competition between supply chains. Collaborative Planning, Forecasting and Replenishment (CPFR) which is an application of Supply Chain Management concepts in the retailing to coordinate the supply chain management activities between retailers and manufacturers. In this paper, a collaborative model is prepared based on conventional forecasting method with the help of c program and case study is carried out of daily need product requirement for next month utilizing previous month sales record.
A thyroid is largest endocrine gland, butterfly shape with two lobes which produces hormones that... more A thyroid is largest endocrine gland, butterfly shape with two lobes which produces hormones that control metabolism body functions. The nodules are found in thyroid may be benign or malignant. The ultrasound (US) preferred over the other medical imaging modalities which is used to observe the subcutaneous body structures & internal organs for possible pathology or lesions. The physicians are deducing useful information concerning the tissue characterization and structure which is still subjective matter, Thus quantitative analysis of US images give the objective method for thyroid nodule diagnosis. In this paper, gray level co-occurrence matrix (GLCM) texture characterization techniques are used for feature extraction & extracted features are classified using adaptive resonance theory neural network (ART1) for diagnosis of thyroid nodule are described. The experimental results show the performance measure of classifier in terms of accuracy for the different vigilance parameter of A...
In this globalize economic development era, the market research is very much importance to surviv... more In this globalize economic development era, the market research is very much importance to survive in the competitive world. Market competition between individual enterprises has changed into competition between supply chains. Collaborative Planning, Forecasting and Replenishment (CPFR) which is an application of Supply Chain Management concepts in the retailing to coordinate the supply chain management activities between retailers and manufacturers. In this paper, a collaborative model is prepared based on conventional forecasting method with the help of c program and case study is carried out of daily need product requirement for next month utilizing previous month sales record.
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Papers by Shrikant Kale
available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex interdependence on various factors. . One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to predict whether a person is diabetic or
not. The criterion was to minimize the error function in neural network training using a neural network model. The datasets consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI), insulin level, age, number of pregnancies the patient had (for female) and some others. The criterion was to minimize the error function in neural network training using a neural network model.
available for diagnosing diabetes. However, early prediction of diabetes is quite challenging task due to its complex interdependence on various factors. . One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to predict whether a person is diabetic or
not. The criterion was to minimize the error function in neural network training using a neural network model. The datasets consist of several medical predictor variables and one target variable. Independent variables include the Body Mass Index (BMI), insulin level, age, number of pregnancies the patient had (for female) and some others. The criterion was to minimize the error function in neural network training using a neural network model.