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Research Paper

Micropiles for mitigation of landslide in the residential area of North Sikkim region

The vulnerability of large landslides takes place due to many anthropogenic and natural factors. Frequent collapse and triggering of landslide take place in active foothills of the Himalayan region. The main primary factors causing destabilization of the slope include rainwater infiltration in the topmost weathered layer, earthquake forces, and local inhabitant activities. A vulnerable landslide zone having a residential area is envisaged in ‘Mangan’, North Sikkim, India. An interesting factor affecting the slope stability in the area under study has been noticed that in addition to rainwater and earthquake forces; the other forces being sewer line carrying wastewater outfall of households across sections. The long-term disposal and subsequent accumulation of sewer water caused an increase in pore space and overall density of soil due to saturation, rainwater additionally reduces cohesion of overlying mass causing slip-off from the parent strata. Preliminary stability analysis has been carried out for critical sections using LEM slide software and the effect of intermediate micropiles (Zinc-Chromium coated stainless steel) has been evaluated using the FEM technique. It has been seen that the top 100 m of slant length of the slope is quite unstable. Accordingly, intermediate series of micro piles have been installed with profiled benches in the unstable slope. Superstructure loads from the residential zone lying on the slope profile and vehicular loads at the road level have been considered for severe conditions. Furthermore, the location and length of micropile have been optimized based on concentrated stresses and strength reduction factors. It has been observed that there is a 48.5% and 37.8% increase in safety factors under static conditions and seismic conditions respectively. Analysis shows that micropiles work effectively in controlling local displacements due to sliding and add global stability to the affected region.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I3-1262

Paper Status: published

Published: May 15, 2021

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Research Paper

Generation of different waveforms to stimulate the body mechanism

This paper discusses some of the advances and limitations of the field of Functional Electrical Stimulation (FES) and recent advancements in the field of stimulation and how electrical signals can be utilized for pain relief and to cure other diseases of the human body by using stimulation. This paper aims to create advancement in stimulators and also focuses on their advantages as compared to conventional medicine. More one is also being for it that how on the electrical signal can be utilized for treating various human disorder and disease.

Published by: Shubham Gurav, Vrushabh Gat, Abhishek Patil, Shubham Kambale, Suhas D. Gokhale

Author: Shubham Gurav

Paper ID: V7I3-1289

Paper Status: published

Published: May 14, 2021

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Research Paper

Modeling and simulation of Load Frequency Controller using Genetic Algorithms Technique

In an interconnected multi-area power system, as a power load demand varies randomly, which results in the variation of frequency, thus leading to load frequency control problem (LFC). The main goals of Load Frequency Control (LFC) are, to hold the frequency and the desired power output in the interconnected power system at the scheduled values and to control the change in the tie-line power flow between control areas. This research involves the load frequency control is done by PI and PID controller, which is a conventional controller. In order to overcome drawbacks, a new Genetic Algorithm-based controller is presented to quench the deviations in the frequency and the tie-line power due to different load disturbances. The proposed controller guarantees the stability of the overall closed-loop system. Simulation results for a real three-area power system prove the effectiveness of the proposed LFC and show its superiority over a classical PID controller and a PI controller.

Published by: Kruti Desai, Jay Tandel

Author: Kruti Desai

Paper ID: V7I3-1271

Paper Status: published

Published: May 14, 2021

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Research Paper

What kind of algorithms are applied in search engines?

This paper aims to make readers understand about types of algorithms used in different search engines and e-commerce websites

Published by: Kush Sharma

Author: Kush Sharma

Paper ID: V7I3-1263

Paper Status: published

Published: May 14, 2021

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Review Paper

Smart car monitoring system

In today’s 21st-century road safety has become a crucial part of a human’s life. Nowadays the number of vehicles is increasing day by day and so the amount of road accidents is also increasing. There are different causes of these accidents such as drunk and drive, overspeeding, the distraction of driver, drowsiness of the driver, avoiding safety gears like seat belts and helmets. So, in order to provide a solution, we have come up with an idea that will help solve this problem. This system has two foremost features. Firstly the system will make sure that if the driver is drunk, a warning message will be displayed on LCD. In spite of the fact if the driver continues to drive a car, there will be fuel cut off which will make the car slow and eventually stop the car. Secondly, if any accident occurs in the middle of the journey then an emergency message will be sent to the nearby Hospital, Police station, and to a relative of the victim. This system provides a way to avoid road accidents which will reduce the number of road accidents.

Published by: Ankita Pawar, Juie Nare, Rohini Deshmukh

Author: Ankita Pawar

Paper ID: V7I3-1266

Paper Status: published

Published: May 14, 2021

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Research Paper

AMUNET: Advanced multi-utility network evaluation toolkit

Cybercrime is the greatest threat to every individual in the world. In the upcoming years, it might become a serious threat to every person, place, and organization around the globe. During this pandemic situation, hackers exploited the opportunity to attack vulnerable networks of many organizations and breached their data. This proves that we are also in the midst of an epidemic of cybercrime. To solve this problem, we are proposing an AI-powered security device called AMUNET (Advanced Multi Utility Network Evaluation Toolkit). It uses artificial intelligence and machine learning to detect various problems in a network and protects against various vulnerabilities and exploits. It can even monitor live network packets and detect intrusions and take steps to prevent intrusion attacks.

Published by: Karthik S. K., Nikhil Robinson, Asha Shaji, Navaneeth V. H., Preetha S. L.

Author: Karthik S. K.

Paper ID: V7I3-1265

Paper Status: published

Published: May 14, 2021

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