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Research Paper

Power quality improvement of integrated PV/wind grid-connected system

Integrated PV/Wind grid-connected system is emerging as a solution to duo problems of the conventional power systems of high transmission losses and shortage of conventional sources. Traditionally integrated non-conventional system of electricity generation obtained from different sources is collected at a common DC bus or are connected electrically through power converters to extract maximum energy. The incorporated power converter topologies utilize different generators and control strategy to supply the load according to their voltage and harmonic content. The work done is to analyze the interface of solar electric and WGS to restore grid characteristics. A converter has been designed using a neutral point clamped MLI to control the grid parameter as well as PV/Wind hybrid system parameters simultaneously for improving the power quality of the system.

Published by: Shubham Soni, Madhu Upadhyay

Author: Shubham Soni

Paper ID: V6I5-1204

Paper Status: published

Published: September 26, 2020

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Research Paper

Modern algorithm of neural networks

This paper deals with researches and literature reviews on Deep Neural Network. In the area of biometrics, identification, access- control, enforcement, digital identification, surveillance devices and face recognition (FR), defining the technique of human beings using facial imaging, is a multitude of hands-on applications. Coevolutionary neural networks (Cov-Nets) have proved to be efficient for FR, a type of deep networks. Any pre-processing procedures, such as sampling, must be taken for real-time systems prior to use in Cov-Nets. However, full images (all pixel values) are also transferred to Cov-Nets as input and all steps are performed by the network (feature collection, function filtering, training). That's why Cov-Nets is always difficult and time-consuming to introduce. Cov-Nets are at a rising level, with very little precision, but they have a high potential reach. This paper offers a new perspective on the use of a deep neural network for facial recognition. A new approach is being developed in this paper. In this approach, facial features that are extracted are provided as input instead of raw pixel values. This decreases the complexity and gives the Yale data set quality of 97.05 percent.

Published by: Anirban Chakraborty

Author: Anirban Chakraborty

Paper ID: V6I5-1243

Paper Status: published

Published: September 26, 2020

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Research Paper

Study on the impact of COVID-19 on public transport ridership

India's public transport systems are among most heavily used in the world. Public transport is the primary mode of road transport for most of the citizens of India. This Covid-19 crisis has crippled all sectors of the economy across the world. One of the worst affected sector by this pandemic is public transport. During the lockdown, the bus services, metro, trains as well as flights were completely stopped by the Government of India. Nobody was allowed to travel even in private vehicles as it would have increased the risk of infection until and unless it was very important. Now, since the public transport operators are allowed to resume their services, they are focussing on how to overcome the losses they have met during this lockdown period. This lockdown has hit them seriously as people are concerned about their safety and moving out and travelling. This paper represents how much loss the public transport sector has faced during lockdown due to corona virus disease-2019 and what measures should public transport operators has to take to recover their loss.

Published by: Shruti Badoni Rawat, Vikram Kaintura

Author: Shruti Badoni Rawat

Paper ID: V6I5-1239

Paper Status: published

Published: September 26, 2020

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Research Paper

A compact monopole antenna for UWB applications

This paper presents a compact size monopole antenna for wide range of application. The base antenna consists of a falcate-shaped monopole antenna and a slot is inserted in base patch. The proposed antenna dimension is 40 × 46 mm² and is fabricated on 1 mm FR4 substrate. This antenna is designed to operate at the frequency of (3-10.5 GHz) with good return loss. The results provide high gain and directivity in wide range. This circularly polarized (CP) antennas are used in various fields such as satellite communication systems, radio frequency identification (RFID), dedicated short range communication systems (DSRC), WLAN and WiMAX in modern wireless communication

Published by: S. Nivetha

Author: S. Nivetha

Paper ID: V6I5-1224

Paper Status: published

Published: September 24, 2020

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Research Paper

Smart garbage monitoring system using IoT

A big challenge is urban cities is the garbage collection process. The garbage collecting authority or the municipal corporation peoples in the traditional waste management system doesn’t know about the level of garbage in the dustbin, if the dust bins get full by garbage then it gets overflowed as well as spelled out from the dustbin leading to an unhygienic condition in cities. Even if the dust bin is overloaded by garbage peoples throws the garbage on that dustbin. Because of that overflowed dustbin and the spelled garbage, bad smell arises also it leads to unhygienic conditions in many cities. Sometimes due to unclean dustbins, some toxic gases may produce and which will support to air pollution. Also, some harmful diseases may spread. It is very bad to look at the city. Due to which unhygienic condition occurs. The use of traditional system result in inefficient and time and money spending systems. So the concept of the Smart Garbage Monitoring System is implemented in cities. Where the rate of production of garbage or waste is high but efforts put to control the garbage management are very less. In order to overcome this many issues stated above smart garbage monitoring system using IoT will help.

Published by: Madhuri Labade, Mrunal Kulkarni, Abhishek Jadhav

Author: Madhuri Labade

Paper ID: V6I5-1220

Paper Status: published

Published: September 24, 2020

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Research Paper

Analysis and assessment of sewage water treatment plant by using PLC

Sewage water consists of Agricultural, industrial, and human wastes. It is mandatory to remove organic material by the process of sewage water treatment. The sewage treatment plant involves physical, biological treatment stages. An important objective of municipal and industrial sewage wastewater treatment is to separate pollutants, remove toxic materials, neutralize coarse particles, and destroy pathogens such that the quality of discharged water is more improved to meet the allowable level of water to be discharged into water bodies or for cultivated land. The target of secondary treatment is that the further treatment of the effluent from primary treatment to get rid of the residual organics and suspended solids. The main objective of wastewater treatment is to get rid of as considerably of the suspended solids as possible before the remaining water, called effluent, is discharged back to the environment. To avoid wastage of water by recycling water discharged from companies, homes, businesses, and industries and reduce pollution, to be used in the agricultural sector and domestic purpose.

Published by: Ankita Liladhar Firke

Author: Ankita Liladhar Firke

Paper ID: V6I5-1210

Paper Status: published

Published: September 24, 2020

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