2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020
MRI (Medical Resonance Images) is used for brain tumor detection which also involves very difficu... more MRI (Medical Resonance Images) is used for brain tumor detection which also involves very difficulty in distinguishing normal and abnormal tissues of a brain for neurosurgeons. An automated Tumor detection technique is proposed which aids neurosurgeons in detecting brain tumors. A Gaussian Filtering with MLP (Multi-Layer Perceptron)-Based BPNN (Back Propagation Neural Network) is proposed which produces better accurate results in detecting the brain tumor with an accuracy rate of 93% when compared with other Classifiers like PNN (Probabilistic Neural Network) and SVM (Support Vector machine).
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
In the year 2020, a pandemic situation occurs throughout the world with COVID-19.It is a virus wh... more In the year 2020, a pandemic situation occurs throughout the world with COVID-19.It is a virus which can be transmitted from person to another with cough or sneeze. It has become mandatory to use face mask in order to get away from the infection of virus. A person is allowed into the office or any other organization only if the person is having a mask. Entry into the organization is restricted without the face mask. Here an automated face mask detection system is proposed for with Median filtering and Back propagation neural network (BPNN).91% accuracy is achieved with the proposed methodology. This computerized face mask detection technique is found to be very apt in the present pandemic situation in these days
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021
Nowadays, alcohol consumption is emerging as one of the most serious social issues. Many traffic ... more Nowadays, alcohol consumption is emerging as one of the most serious social issues. Many traffic accidents occur as a result of driving while inebriated. It poses a severe threat to the country, since many young people are losing their lives as a result of drunk driving on the highways, which also leads to traffic accidents. Totally, 80% of the road accidents are due to drunk driving conditions. Traffic police are conducting a drive to catch the drunk and drive cases with the Alcohol Breath Tester (ABT). ABT is effective in finding alcohol percentages. But here, there is a need of an automated system to analyze the alcohol consumpted candidate by recognizing their facial expression, this helps in identifying the alcohol consumed individuals very accurately. Here, a computer based detector is proposed by using human emotions. The proposed model with back propagation neural network leverages an accuracy of about 92%.
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
Cricket is a sport which is the most popular sport in India and also in many countries all over t... more Cricket is a sport which is the most popular sport in India and also in many countries all over the world. In comparison with any sport, cricket sport contains a highest fan following all over the world. Cricketers face many health-related issues during the match or in training. A lot of effort has to put by cricketers during training and matches which leads to shortness in breath, hypoglycaemia, and many more. Many sponsors and Cricket committees spent lot of money on cricketers. Health issue of any player gives huge blow to their spending on individual. Internet of Things (IoT) is reaching new heights with its technical support to enhance human lives. IoT is a technology which can give support to the players during the match or during the training by detecting the health issues of cricketers in the early stage. In this paper, an advanced IoT support methodology is proposed which monitors the healths of a cricketer by using embed sensing devices, tele communication technologies and cloud computing.
2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021
Heart related diseases are getting increased in present days. Eating habits of individuals are ge... more Heart related diseases are getting increased in present days. Eating habits of individuals are getting changes which results in cardiovascular diseases at even at the ages of above 35 years. Heartbeat of cardiovascular disease persons who are at high risk has to be monitored continuously. Ups and downs of heartbeat has to be monitored and the readings to be noted down. Hence using cloud computing and IoT, an advanced model is proposed which can have a close watch on individuals who are at risk with heart-related diseases. The continuously obtained heartbeat data of the patient can be helpful as information to the doctors. This system also has an encryption system with AES 128 for ensuring privacy. Here android application-based model is proposed as a bridge for communication of alerts related to hearts and continuous monitoring.
2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020
A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level model... more A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level modeling allows increasing the set of control influences, the number of constraints and applies two goal functions in hierarchical order. The bi-level formalism allows integration of small optimization problems in hierarchical order to a complex interconnected and complicated optimization problem. These features have been applied for optimal control of traffic lights in urban network. The bilevel problem formulation allows to minimize the queue lengths of vehicles and to maximize the outgoing flows from arterial directions. Both control influences of the green light durations and time cycles are evaluated as optimal bi-level control influences.
2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020
Fruits play a major role in both the agriculture and industrial sectors. Many farmers in India de... more Fruits play a major role in both the agriculture and industrial sectors. Many farmers in India depend on fruit farming. As exporting fruits to other countries make huge profits in the industrial sector, many industries export fruits to other countries. Diseased fruits can spread its disease to other fruits and leads to damage to other fruits. During the export of fruits, if diseased fruits get packed along with fresh fruits then other fruits also get damaged and leads to a huge loss. Classification of diseased and non-diseased fruits should be done to avoid losses. Manual classification of fruits is a very difficult task and also consumes more time. Here, an automatic detection of diseased fruits with Sobel edge detection and support vector machine proposed, which gives an accuracy of 92% in classifying the diseased and non-diseased fruit.
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020
MRI (Medical Resonance Images) is used for brain tumor detection which also involves very difficu... more MRI (Medical Resonance Images) is used for brain tumor detection which also involves very difficulty in distinguishing normal and abnormal tissues of a brain for neurosurgeons. An automated Tumor detection technique is proposed which aids neurosurgeons in detecting brain tumors. A Gaussian Filtering with MLP (Multi-Layer Perceptron)-Based BPNN (Back Propagation Neural Network) is proposed which produces better accurate results in detecting the brain tumor with an accuracy rate of 93% when compared with other Classifiers like PNN (Probabilistic Neural Network) and SVM (Support Vector machine).
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
In the year 2020, a pandemic situation occurs throughout the world with COVID-19.It is a virus wh... more In the year 2020, a pandemic situation occurs throughout the world with COVID-19.It is a virus which can be transmitted from person to another with cough or sneeze. It has become mandatory to use face mask in order to get away from the infection of virus. A person is allowed into the office or any other organization only if the person is having a mask. Entry into the organization is restricted without the face mask. Here an automated face mask detection system is proposed for with Median filtering and Back propagation neural network (BPNN).91% accuracy is achieved with the proposed methodology. This computerized face mask detection technique is found to be very apt in the present pandemic situation in these days
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021
Nowadays, alcohol consumption is emerging as one of the most serious social issues. Many traffic ... more Nowadays, alcohol consumption is emerging as one of the most serious social issues. Many traffic accidents occur as a result of driving while inebriated. It poses a severe threat to the country, since many young people are losing their lives as a result of drunk driving on the highways, which also leads to traffic accidents. Totally, 80% of the road accidents are due to drunk driving conditions. Traffic police are conducting a drive to catch the drunk and drive cases with the Alcohol Breath Tester (ABT). ABT is effective in finding alcohol percentages. But here, there is a need of an automated system to analyze the alcohol consumpted candidate by recognizing their facial expression, this helps in identifying the alcohol consumed individuals very accurately. Here, a computer based detector is proposed by using human emotions. The proposed model with back propagation neural network leverages an accuracy of about 92%.
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
Cricket is a sport which is the most popular sport in India and also in many countries all over t... more Cricket is a sport which is the most popular sport in India and also in many countries all over the world. In comparison with any sport, cricket sport contains a highest fan following all over the world. Cricketers face many health-related issues during the match or in training. A lot of effort has to put by cricketers during training and matches which leads to shortness in breath, hypoglycaemia, and many more. Many sponsors and Cricket committees spent lot of money on cricketers. Health issue of any player gives huge blow to their spending on individual. Internet of Things (IoT) is reaching new heights with its technical support to enhance human lives. IoT is a technology which can give support to the players during the match or during the training by detecting the health issues of cricketers in the early stage. In this paper, an advanced IoT support methodology is proposed which monitors the healths of a cricketer by using embed sensing devices, tele communication technologies and cloud computing.
2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021
Heart related diseases are getting increased in present days. Eating habits of individuals are ge... more Heart related diseases are getting increased in present days. Eating habits of individuals are getting changes which results in cardiovascular diseases at even at the ages of above 35 years. Heartbeat of cardiovascular disease persons who are at high risk has to be monitored continuously. Ups and downs of heartbeat has to be monitored and the readings to be noted down. Hence using cloud computing and IoT, an advanced model is proposed which can have a close watch on individuals who are at risk with heart-related diseases. The continuously obtained heartbeat data of the patient can be helpful as information to the doctors. This system also has an encryption system with AES 128 for ensuring privacy. Here android application-based model is proposed as a bridge for communication of alerts related to hearts and continuous monitoring.
2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020
A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level model... more A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level modeling allows increasing the set of control influences, the number of constraints and applies two goal functions in hierarchical order. The bi-level formalism allows integration of small optimization problems in hierarchical order to a complex interconnected and complicated optimization problem. These features have been applied for optimal control of traffic lights in urban network. The bilevel problem formulation allows to minimize the queue lengths of vehicles and to maximize the outgoing flows from arterial directions. Both control influences of the green light durations and time cycles are evaluated as optimal bi-level control influences.
2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020
Fruits play a major role in both the agriculture and industrial sectors. Many farmers in India de... more Fruits play a major role in both the agriculture and industrial sectors. Many farmers in India depend on fruit farming. As exporting fruits to other countries make huge profits in the industrial sector, many industries export fruits to other countries. Diseased fruits can spread its disease to other fruits and leads to damage to other fruits. During the export of fruits, if diseased fruits get packed along with fresh fruits then other fruits also get damaged and leads to a huge loss. Classification of diseased and non-diseased fruits should be done to avoid losses. Manual classification of fruits is a very difficult task and also consumes more time. Here, an automatic detection of diseased fruits with Sobel edge detection and support vector machine proposed, which gives an accuracy of 92% in classifying the diseased and non-diseased fruit.
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Papers by Ashok Bekkanti