Dr. Neha Gupta | JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA (original) (raw)

Papers by Dr. Neha Gupta

Research paper thumbnail of Unmanned Aerial Vehicle (UAV) for Parcel Delivery

International Journal of Engineering Research and Technology, 2020

Air Drones, Unmanned Aerial Vehicles (UAV), autonomous or tele-operated flying machines are the a... more Air Drones, Unmanned Aerial Vehicles (UAV), autonomous or tele-operated flying machines are the aircrafts that doesn't require a human onboard for controlling it. They can be managed manually by a remote wireless operator or automatically using the software. Our purpose in this paper is to present the use of drones for parcels and small packages delivery that can be used commercially or in emergency situations. A drone that is capable of lifting weights up to 1-1.5 kg, an autonomous system that would control the drone completely using the Raspberry Pi a microprocessor that will connect the drone to the control system and will control the drone throughout the process. A Global Positioning System (GPS) that helps the drone to reach its destination and return to the base station. This paper presents how drones would be helpful in delivering small packages helping ecommerce expand their business, and also can used to deliver in emergency situations like deliveries of blood, medicinal goods and many other items that a person or professional can use in emergency, which takes lot of time currently for a person to deliver by hand.

Research paper thumbnail of Disaster Prediction And Post Disaster Management Using Machine Learning And Bluetooth

Webology , 2021

Convolution Neural Network (CNN) is shadow-resistant, capable of getting proper disaster characte... more Convolution Neural Network (CNN) is shadow-resistant, capable of getting proper disaster characteristics, and, most importantly, capable of overcoming operator misdetection or misjudgement, all of which have an impact on the system's efficacy. Training and testing are the two phases of the neural network. By clipping and resizing aerial pictures acquired from Kaggle, pre-and post-disaster training data patches are created. Focusing on Hurricane's Pacific Ocean Training dataset, which contains 4387 train photos. All patches are trained in CNN to extract disaster regions occurred without delay. The technique will detect disasters with an accuracy of 80-90%. An off-grid communication system is created with the help of a scatternet based on Bluetooth. This will help in establishing communication between various affected groups and can help in spreading the information faster to the authorities and rescue teams. The app will create the network required for communication among groups and the authorities and the website will display all the collected data to the concerned authorities. It will help in increasing the connectivity between affected people at the disaster location. It will allow the relief management team to have an upper hand by enabling them to contact the people in the affected area.

Research paper thumbnail of A SURVEY ON DISASTER MITIGATION AND MANAGEMENT: ISSUES, CHALLENGES, APPROACHES

International Journal of Advanced Research in Engineering and Technology (IJARET), 2021

Today, natural calamity and accidents are a big problem in the world as a consequence of the rise... more Today, natural calamity and accidents are a big problem in the world as a consequence of the rise in reckless driving. Incidents are blamed for a significant amount of crashes, fire, derailment incidents every year. The study explores different techniques for disaster mitigation and management. At first, a survey is presented about the different techniques used by the users with the purpose of mitigation and management. Afterwards a comparison is done based on the survey done to identify the preferred choice of users and the results indicated that around 90% of the users preferred a combination of IoT and cloud technologies. Even survey conducted by bain is presented which shows the Percentage of users giving positive response for deploying IoT in research.

Research paper thumbnail of ISCON2021-Neha

Research paper thumbnail of A Novel Framework for Ancient Text Translation Using Artificial Intelligence

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2022

Ancient scripts have been acting as repositories of knowledge, culture and of the history of civi... more Ancient scripts have been acting as repositories of knowledge, culture and of the history of civilization. To have greater access to the valuable information present in ancient scripts, an appropriate translation system needs to be developed to adapt to the complexity of the scripts and the lack of knowledge of the reader. In this study, a prediction and translation system has been implemented using Artificial Intelligence. The system has been trained using the Sunda-Dataset and a self-generated dataset. The translation of an ancient script, viz. from Sundanese to English, is done using a two layer Recurrent Neural Network. The technique used in this proposal is compared with a pre-existing translator called IM Translator. The results show that the BLEU score increased by 8% in comparison to IM Translator. Furthermore, WER decreased by 10% in contrast to IM Translator. Finally, the N-Gram analysis results indicate a 3% to 4% increase in 100% contrast value.

Research paper thumbnail of Generation, annotation, and analysis of ESTs from midgut tissue of adult female Anopheles stephensi mosquitoes

BMC Genomics, 2009

Background: Malaria is a tropical disease caused by protozoan parasite, Plasmodium, which is tran... more Background: Malaria is a tropical disease caused by protozoan parasite, Plasmodium, which is transmitted to humans by various species of female anopheline mosquitoes. Anopheles stephensi is one such major malaria vector in urban parts of the Indian subcontinent. Unlike Anopheles gambiae, an African malaria vector, transcriptome of A. stephensi midgut tissue is less explored. We have therefore carried out generation, annotation, and analysis of expressed sequence tags from sugarfed and Plasmodium yoelii infected blood-fed (post 24 h) adult female A. stephensi midgut tissue.

Research paper thumbnail of Unmanned Aerial Vehicle (UAV) for Parcel Delivery

International Journal of Engineering Research and Technology, 2020

Air Drones, Unmanned Aerial Vehicles (UAV), autonomous or tele-operated flying machines are the a... more Air Drones, Unmanned Aerial Vehicles (UAV), autonomous or tele-operated flying machines are the aircrafts that doesn't require a human onboard for controlling it. They can be managed manually by a remote wireless operator or automatically using the software. Our purpose in this paper is to present the use of drones for parcels and small packages delivery that can be used commercially or in emergency situations. A drone that is capable of lifting weights up to 1-1.5 kg, an autonomous system that would control the drone completely using the Raspberry Pi a microprocessor that will connect the drone to the control system and will control the drone throughout the process. A Global Positioning System (GPS) that helps the drone to reach its destination and return to the base station. This paper presents how drones would be helpful in delivering small packages helping ecommerce expand their business, and also can used to deliver in emergency situations like deliveries of blood, medicinal goods and many other items that a person or professional can use in emergency, which takes lot of time currently for a person to deliver by hand.

Research paper thumbnail of Disaster Prediction And Post Disaster Management Using Machine Learning And Bluetooth

Webology , 2021

Convolution Neural Network (CNN) is shadow-resistant, capable of getting proper disaster characte... more Convolution Neural Network (CNN) is shadow-resistant, capable of getting proper disaster characteristics, and, most importantly, capable of overcoming operator misdetection or misjudgement, all of which have an impact on the system's efficacy. Training and testing are the two phases of the neural network. By clipping and resizing aerial pictures acquired from Kaggle, pre-and post-disaster training data patches are created. Focusing on Hurricane's Pacific Ocean Training dataset, which contains 4387 train photos. All patches are trained in CNN to extract disaster regions occurred without delay. The technique will detect disasters with an accuracy of 80-90%. An off-grid communication system is created with the help of a scatternet based on Bluetooth. This will help in establishing communication between various affected groups and can help in spreading the information faster to the authorities and rescue teams. The app will create the network required for communication among groups and the authorities and the website will display all the collected data to the concerned authorities. It will help in increasing the connectivity between affected people at the disaster location. It will allow the relief management team to have an upper hand by enabling them to contact the people in the affected area.

Research paper thumbnail of A SURVEY ON DISASTER MITIGATION AND MANAGEMENT: ISSUES, CHALLENGES, APPROACHES

International Journal of Advanced Research in Engineering and Technology (IJARET), 2021

Today, natural calamity and accidents are a big problem in the world as a consequence of the rise... more Today, natural calamity and accidents are a big problem in the world as a consequence of the rise in reckless driving. Incidents are blamed for a significant amount of crashes, fire, derailment incidents every year. The study explores different techniques for disaster mitigation and management. At first, a survey is presented about the different techniques used by the users with the purpose of mitigation and management. Afterwards a comparison is done based on the survey done to identify the preferred choice of users and the results indicated that around 90% of the users preferred a combination of IoT and cloud technologies. Even survey conducted by bain is presented which shows the Percentage of users giving positive response for deploying IoT in research.

Research paper thumbnail of ISCON2021-Neha

Research paper thumbnail of A Novel Framework for Ancient Text Translation Using Artificial Intelligence

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2022

Ancient scripts have been acting as repositories of knowledge, culture and of the history of civi... more Ancient scripts have been acting as repositories of knowledge, culture and of the history of civilization. To have greater access to the valuable information present in ancient scripts, an appropriate translation system needs to be developed to adapt to the complexity of the scripts and the lack of knowledge of the reader. In this study, a prediction and translation system has been implemented using Artificial Intelligence. The system has been trained using the Sunda-Dataset and a self-generated dataset. The translation of an ancient script, viz. from Sundanese to English, is done using a two layer Recurrent Neural Network. The technique used in this proposal is compared with a pre-existing translator called IM Translator. The results show that the BLEU score increased by 8% in comparison to IM Translator. Furthermore, WER decreased by 10% in contrast to IM Translator. Finally, the N-Gram analysis results indicate a 3% to 4% increase in 100% contrast value.

Research paper thumbnail of Generation, annotation, and analysis of ESTs from midgut tissue of adult female Anopheles stephensi mosquitoes

BMC Genomics, 2009

Background: Malaria is a tropical disease caused by protozoan parasite, Plasmodium, which is tran... more Background: Malaria is a tropical disease caused by protozoan parasite, Plasmodium, which is transmitted to humans by various species of female anopheline mosquitoes. Anopheles stephensi is one such major malaria vector in urban parts of the Indian subcontinent. Unlike Anopheles gambiae, an African malaria vector, transcriptome of A. stephensi midgut tissue is less explored. We have therefore carried out generation, annotation, and analysis of expressed sequence tags from sugarfed and Plasmodium yoelii infected blood-fed (post 24 h) adult female A. stephensi midgut tissue.