Hari Om Sharan | ITM University,Gwalior (MP), India (original) (raw)

Papers by Hari Om Sharan

Research paper thumbnail of Remote Surveillance System for Iot-Driven Patients Medical Advice

In today‟s e-life we generally need to manage data which assumes a huge job in our lives. One of ... more In today‟s e-life we generally need to manage data which assumes a huge job in our lives. One of the significant wellsprings of data is clearly the monster web. At the point when we move our heads around, we can see things that are acting savvy, and are therefore making the human lives progressively shrewd and e-driven. These things demonstration savvy just as they are associated with the web, and are thus called as the „Internet of Things (IoT)‟. In Internet of Things (IoT), gadgets assemble and share data straightforwardly with one another and the cloud, making it conceivable to gather, record and investigate new information streams quicker and all the more precisely. IoT offers an incredible guarantee in the field of e-medicinal services, where its standards are as of now being applied to build the nature of care, improve access to mind and in particular diminish the expense of care. Implanted advancements are being utilized in applications like e-wellbeing frameworks that convey...

Research paper thumbnail of A Review Article on Cryptography Using Functional Programming:Haskell

A modern wave of programming technology has been at the frontline of functional languages, experi... more A modern wave of programming technology has been at the frontline of functional languages, experiencing growing success as well as impact. Hughes published an article entitled 'Why Functional Programming Matters', that has now been one of the most recent references in the field.Safe programming defines the method used by software engineers to include multiple safety mechanism for their system.Secure programming can be broken down into two subgroups to analyse its correlation with software design: access control, secure programme initialization, input validation, cryptography, secure networking, secure random number generation, and anti-tampering. In this paper we provide a review of various functional programming in Haskell for encryption. The inkling of functional programming is to make programming more closely related to mathematics. We describe crucial features and trade-offs that has to be well-thought-out while selecting the right method for secure computation.

Research paper thumbnail of Improving the Performance of Handoff Calls using Frequency Sharing

In this paper, a two-tier cellular wireless network is characterized by overlapping the service a... more In this paper, a two-tier cellular wireless network is characterized by overlapping the service area for managing the new calls users having different mobility speed. The overlapping property of the two-tier system provides the advantages that share the traffic load to improve the efficiency of new calls subscriber with guard channels in cell to handle the handoff calls. Using Guard channels, our strategy have the prioritization to the handoff calls. Micro cells are used to provide the services to slow-speed, high-intensity traffic area users and macro cells are overlaid over more than one micro cell cater mainly to lower density, high-speed users. The two-tier of micro cells and macro cells provide the secondary resource to provide the service for new calls as well as handoff calls with guard channels as overflow the slow speed users in macro cell by sharing the frequency in vertical direction as well as sharing the frequency in horizontal direction in the upper layer. The call lose probability of aggregate calls are developed through numerical analysis. The results justify the advantages of proposed strategy.

Research paper thumbnail of Artificial Intelligence in Bioinformatics

Research paper thumbnail of Micro level architecture for Automatic Cleaning Device

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Analysis Of Decision Tree For Diabetes Prediction

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Review on Prediction of Diabetes Mellitus using Data Mining Technique

International Journal of Engineering and Technical Research (IJETR)

Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one... more Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one of the major health issues in the world. According to World Health Organization 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is considered as one of deadliest and chronic disease which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified. Data mining is a process of obtaining the information from a dataset and transforms it into unambiguous structure. Medical Data mining techniques are used to find hidden patterns in the data sets of medical domain for medical diagnosis and treatment. There are various data mining techniques for prediction of diseases like heart diseases, cancer, and kidney etc. Prediction of diabetes is a fastest growing technology. This paper helps in predicting polygenic disorder by applying data processing techniques. Using various data mining techniques we can predict Diabetes from the data set of a patient. This paper concentrates on the overall survey related to data mining techniques for predicting diabetes.

Research paper thumbnail of A survey on hardware start-ups, tough-a-head in India

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Survey on routing techniques in wireless Sensor networks

： Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation and wireless c... more ： Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation and wireless communications capabilities. These nodes are limited with respect to energy supply restricted computational capacity and communication bandwidth & are primarily designed for monitoring and reporting events. Routing protocols for wireless sensor networks are responsible for maintaining the routes in the network and have to ensure reliable multi-hop communication under these conditions so many routing power management and data dissemination protocols have been specially designed for WSNs where energy awareness is an essential design issue. The focus however has been given to the routing protocols which might differ depending on the application and network architecture because each routing protocol has its merits and shortcomings, also sensor nodes are application dependent so a single routing protocol cannot be efficient for sensor networks across all applications. The lifetime will end when the working routing protocol can no longer support the whole wireless sensor network. To prolong the lifetime of the sensor nodes designing of efficient routing protocols is critical. In this paper, we present a survey of the state-of-the-art routing techniques in WSNs. We first outline the design challenges for routing protocols in WSNs followed by a comprehensive survey of different routing techniques. The paper concludes with possible future research areas. [Hari Om Sharan, C.S. Raghuvanshi, Ravi Prakash, Rajeev Kumar. Survey on routing techniques in wireless Sensor networks. N Y Sci J 2014;7(2):45-49]. (ISSN: 1554-0200). http://www.sciencepub.net/newyork. 5

Research paper thumbnail of Review on Prediction of Diabetes Mellitus using Data Mining Technique

International Journal of Engineering and Technical Research (IJETR), Dec 31, 2018

Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one... more Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one of the major health issues in the world. According to World Health Organization 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is considered as one of deadliest and chronic disease which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified. Data mining is a process of obtaining the information from a dataset and transforms it into unambiguous structure. Medical Data mining techniques are used to find hidden patterns in the data sets of medical domain for medical diagnosis and treatment. There are various data mining techniques for prediction of diseases like heart diseases, cancer, and kidney etc. Prediction of diabetes is a fastest growing technology. This paper helps in predicting polygenic disorder by applying data processing techniques. Using various data mining techniques we can predict Diabetes from the data set of a patient. This paper concentrates on the overall survey related to data mining techniques for predicting diabetes.

Research paper thumbnail of Remote Surveillance System for Iot-Driven Patients Medical Advice

In today‟s e-life we generally need to manage data which assumes a huge job in our lives. One of ... more In today‟s e-life we generally need to manage data which assumes a huge job in our lives. One of the significant wellsprings of data is clearly the monster web. At the point when we move our heads around, we can see things that are acting savvy, and are therefore making the human lives progressively shrewd and e-driven. These things demonstration savvy just as they are associated with the web, and are thus called as the „Internet of Things (IoT)‟. In Internet of Things (IoT), gadgets assemble and share data straightforwardly with one another and the cloud, making it conceivable to gather, record and investigate new information streams quicker and all the more precisely. IoT offers an incredible guarantee in the field of e-medicinal services, where its standards are as of now being applied to build the nature of care, improve access to mind and in particular diminish the expense of care. Implanted advancements are being utilized in applications like e-wellbeing frameworks that convey...

Research paper thumbnail of A Review Article on Cryptography Using Functional Programming:Haskell

A modern wave of programming technology has been at the frontline of functional languages, experi... more A modern wave of programming technology has been at the frontline of functional languages, experiencing growing success as well as impact. Hughes published an article entitled 'Why Functional Programming Matters', that has now been one of the most recent references in the field.Safe programming defines the method used by software engineers to include multiple safety mechanism for their system.Secure programming can be broken down into two subgroups to analyse its correlation with software design: access control, secure programme initialization, input validation, cryptography, secure networking, secure random number generation, and anti-tampering. In this paper we provide a review of various functional programming in Haskell for encryption. The inkling of functional programming is to make programming more closely related to mathematics. We describe crucial features and trade-offs that has to be well-thought-out while selecting the right method for secure computation.

Research paper thumbnail of Improving the Performance of Handoff Calls using Frequency Sharing

In this paper, a two-tier cellular wireless network is characterized by overlapping the service a... more In this paper, a two-tier cellular wireless network is characterized by overlapping the service area for managing the new calls users having different mobility speed. The overlapping property of the two-tier system provides the advantages that share the traffic load to improve the efficiency of new calls subscriber with guard channels in cell to handle the handoff calls. Using Guard channels, our strategy have the prioritization to the handoff calls. Micro cells are used to provide the services to slow-speed, high-intensity traffic area users and macro cells are overlaid over more than one micro cell cater mainly to lower density, high-speed users. The two-tier of micro cells and macro cells provide the secondary resource to provide the service for new calls as well as handoff calls with guard channels as overflow the slow speed users in macro cell by sharing the frequency in vertical direction as well as sharing the frequency in horizontal direction in the upper layer. The call lose probability of aggregate calls are developed through numerical analysis. The results justify the advantages of proposed strategy.

Research paper thumbnail of Artificial Intelligence in Bioinformatics

Research paper thumbnail of Micro level architecture for Automatic Cleaning Device

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Analysis Of Decision Tree For Diabetes Prediction

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Review on Prediction of Diabetes Mellitus using Data Mining Technique

International Journal of Engineering and Technical Research (IJETR)

Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one... more Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one of the major health issues in the world. According to World Health Organization 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is considered as one of deadliest and chronic disease which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified. Data mining is a process of obtaining the information from a dataset and transforms it into unambiguous structure. Medical Data mining techniques are used to find hidden patterns in the data sets of medical domain for medical diagnosis and treatment. There are various data mining techniques for prediction of diseases like heart diseases, cancer, and kidney etc. Prediction of diabetes is a fastest growing technology. This paper helps in predicting polygenic disorder by applying data processing techniques. Using various data mining techniques we can predict Diabetes from the data set of a patient. This paper concentrates on the overall survey related to data mining techniques for predicting diabetes.

Research paper thumbnail of A survey on hardware start-ups, tough-a-head in India

International Journal of Engineering and Technical Research (IJETR)

Research paper thumbnail of Survey on routing techniques in wireless Sensor networks

： Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation and wireless c... more ： Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation and wireless communications capabilities. These nodes are limited with respect to energy supply restricted computational capacity and communication bandwidth & are primarily designed for monitoring and reporting events. Routing protocols for wireless sensor networks are responsible for maintaining the routes in the network and have to ensure reliable multi-hop communication under these conditions so many routing power management and data dissemination protocols have been specially designed for WSNs where energy awareness is an essential design issue. The focus however has been given to the routing protocols which might differ depending on the application and network architecture because each routing protocol has its merits and shortcomings, also sensor nodes are application dependent so a single routing protocol cannot be efficient for sensor networks across all applications. The lifetime will end when the working routing protocol can no longer support the whole wireless sensor network. To prolong the lifetime of the sensor nodes designing of efficient routing protocols is critical. In this paper, we present a survey of the state-of-the-art routing techniques in WSNs. We first outline the design challenges for routing protocols in WSNs followed by a comprehensive survey of different routing techniques. The paper concludes with possible future research areas. [Hari Om Sharan, C.S. Raghuvanshi, Ravi Prakash, Rajeev Kumar. Survey on routing techniques in wireless Sensor networks. N Y Sci J 2014;7(2):45-49]. (ISSN: 1554-0200). http://www.sciencepub.net/newyork. 5

Research paper thumbnail of Review on Prediction of Diabetes Mellitus using Data Mining Technique

International Journal of Engineering and Technical Research (IJETR), Dec 31, 2018

Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one... more Data mining plays a vital role in prediction of diseases in health care industry. Diabetes is one of the major health issues in the world. According to World Health Organization 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is considered as one of deadliest and chronic disease which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified. Data mining is a process of obtaining the information from a dataset and transforms it into unambiguous structure. Medical Data mining techniques are used to find hidden patterns in the data sets of medical domain for medical diagnosis and treatment. There are various data mining techniques for prediction of diseases like heart diseases, cancer, and kidney etc. Prediction of diabetes is a fastest growing technology. This paper helps in predicting polygenic disorder by applying data processing techniques. Using various data mining techniques we can predict Diabetes from the data set of a patient. This paper concentrates on the overall survey related to data mining techniques for predicting diabetes.