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Automatic dual-axis solar tracker system using Image Processing

Solar energy is the most inexhaustible, renewable source of energy known to humanity. The energy extracted from photo-voltaic or any solar collector depends on solar irradiance. For maximum extraction of energy from the sun, the solar collector panel should always be normal to the incident radiation. Solar trackers move the solar collector to follow the sun’s path and keep the orientation of the solar collector at an optimal tilt angle. Solar tracking system improves substantially the energy efficiency of photo-voltaic panels. The aim of this project is to develop an Automatic Dual Axis Solar Tracker System with Image Processing in order to improve the efficiency of the solar panels.

Published by: Adnan M., Ashiq Ali Abdul Lathief, Sivadeep P. R., Akshay Ganga, Simi Raj

Author: Adnan M.

Paper ID: V7I4-1911

Paper Status: published

Published: August 31, 2021

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Research Paper

Challenges and recommendations of Bangalore University library in COVID pandemic

Abstract ` As a prudent step, The Union Government of India Has pronounced the public level shut down after 22nd March 2020 to break the chain of the COVID 19 pandemic. Be that as it may, the day isn't far away to begin the way toward eliminating the limitations bit by bit in a staged way. Consequently, we the library experts ought to likewise be a plan to resume the libraries alongside the COVID 19. We have an enormous obligation to ensure the customer bases, staff, and library assets in such a pandemic circumstance. While resuming the library after the lockdown we have to bring careful steps to back off and forestall the Coronavirus. The creator has referenced the difficulties and proposed proposals of the libraries during the post lockdown period. The creator has additionally proposing to re-examine the library rules dependent on the proposals and the degree of the power of the pandemic. For the betterment of library users and also for the betterment of the library staff Bangalore university library taking many precautionary measurements with the cooperation of Bangalore university management. Library centers are the places where a large number of people can gather. We have a huge responsibility to protect the clientele, staff, and library resources in such a pandemic situation. While reopening the library after the lockdown we need to take precautionary measures to slow down and prevent the COVID 19.

Published by: Ravikumar C. V., Sateesha H., Sudhakara N.

Author: Ravikumar C. V.

Paper ID: V7I4-1890

Paper Status: published

Published: August 30, 2021

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Research Paper

Harmonics prediction of power system network in the presence of FACTS devices

Flexible AC Transmission System (FACTS) devices are used in the transmission systems to improve voltage profiles, stability, active and reactive power flows. Basically, these devices are nonlinear. One of the present challenges facing power research groups is the harmonic study and characterization of Flexible AC Transmission System (FACTS) and their interaction with transmission and distribution networks. This kind of device will distort the steady-state voltage and current waveforms. This work is concerned with the quantification of distorted voltage and current waveforms of power system networks in the presence of FACTS devices. MATLAB code is developed to assess the harmonic performance of five bus test systems.

Published by: Dr. G. Nageswara Reddy, B. Jayababu

Author: Dr. G. Nageswara Reddy

Paper ID: V7I4-1900

Paper Status: published

Published: August 30, 2021

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Research Paper

An intrusion detection system in network traffic with the performance of snort in Wireshark to capture detailed information of data packets

Ideal for any closed data communication system is Data Packet. Network security means data packet security. Every day there are terrible attacks on the Internet. Quality of service has become an issue that requires a powerful traffic analysis and distribution engine for network applications. Network operators can index all applications on their network and use their full set of packet analyses to act as the primary method of intrusion detection. This study mainly focuses on a network intrusion detection system using a network packet analyzer called Wireshark. Therefore, it provides network security through network monitoring tools so that intrusion detection systems can easily gather accurate information. Packet sniffers have the decisive advantage of being an intrusion detection system that detects and blocks a variety of malware and spyware activity in network traffic. It is therefore important to evaluate the performance of Snort in Wireshark to capture, analyze and log detailed information of data packets in network traffic.

Published by: Isiaka O. S., Bolaji-Adetoro D. F.

Author: Isiaka O. S.

Paper ID: V7I4-1898

Paper Status: published

Published: August 30, 2021

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Research Paper

Content-based image retrieval using combined features of color descriptors, GLCM-SFTA, and Hu’s moments

Due to the information technology which is rapidly developing, digital content is becoming increasingly difficult to handle. This includes images that are kept on digital cameras, CCTV, and medical scanners. Areas such as medical and forensic science are using these databases to do critical tasks which include diagnosing diseases or identification of criminal suspects. However, managing and search the similar images from these databases is not an easy task. Content-Based Image Retrieval (CBIR) is one of the techniques used to manage and search similar images from a database. The performance of CBIR depends on the low level (Color, Texture, and Shape) features. In this paper, a new feature vector to represent the image in terms of low-level features and to improve the performance of CBIR is proposed. The proposed CBIR system was developed based on the combined features of Color, Texture, and Shape Features. Color features are extracted by using Color moments, HSV Color Autocorrelogram Feature (CAF), and Color Layout Descriptor (CLD). Texture features are extracted by Gray Level Co-Occurrence Matrix (GLCM) and Segmentation-based Fractal Texture Analysis (SFTA). Shape features are extracted by Hu Moments. The combined features which are made up of 165 Color Descriptor features, 109 GLCM-SFTA texture features, and 8 shape Hu's moment values are extracted to both query and database images. The extracted feature vector of the query image is compared with extracted feature vectors of the database images to obtain similar images.

Published by: Sujatha H., Dr. A. Sreenivasa Murthy

Author: Sujatha H.

Paper ID: V7I4-1907

Paper Status: published

Published: August 30, 2021

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Research Paper

Rainfall threshold intensity & other associated factors triggering debris flow in the Himalayan region – A literature review

Debris flows are fast-moving landslides that occur in a wide variety of environments throughout the world. Some landslides move slowly and cause damage gradually, whereas others move so rapidly that they can destroy property and take lives suddenly and unexpectedly. Debris flows, sometimes referred to as mudslides, mudflows, lahars, or debris avalanches, are common types of fast-moving landslides. These flows generally occur during periods of intense rainfall or rapid snowmelt. They usually start on steep hillsides as shallow landslides that liquefy and accelerate to speeds that are typically about 10 mph but can exceed 35 mph. The consistency of debris flows ranges from watery mud to thick, rocky mud that can carry large items such as boulders, trees, and cars. Debris flows from many different sources can combine in channels where their destructive power may be greatly increased. They continue flowing downhills and through channels, growing in volume with the addition of water, sand, mud, boulders, trees, and other materials. When the flows reach canyon mouths or flatter ground, the debris spreads over a broad area, sometimes accumulating in thick deposits that can wreak havoc in developed areas.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I4-1897

Paper Status: published

Published: August 30, 2021

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