bluuebunny/crossref_metadata_2025 huggingface dataset:
Studies on Modifications of PLA Films with Nanographene Clay and Silane Treated Hydrous Clay
Authors: C Rahiba
Published: July 2022

Abstract: Poly (lactic acid) gains a great attention among the researchers in the recent years due to its potential to replace traditional petrochemical based polymers. Some of its properties such as barrier properties, heat resistance etc need to be modified for various applications. One of the methods to modify PLA is adding clay as filler to PLA. In the current work is the study of specially modified Nano Graphene clay and Silane treated hydrous clay on various physical and chemical properties of PLA films. Characterization methods were conducted like FTIR (Fourier Transform Infrared Spectroscopy), OTR (Oxygen transmission).
Flood Risk Analysis of Upper Krishna Sub-Basin using GIS
Authors: Kore S. B.
Published: July 2022

Abstract: Floods are the most and repeatedly occurring destructive natural disaster due to an overflow of water submerges land which is basically dry. Generally, floods are occurring due to heavy rainfall or cloud bursting or manmade disturbance to nature, fast snowmelt, global warming or tropical cyclone or tsunami. In 2019, the Krishna River has faced very heavy rainfall and major floods which took the lives of approximately 500 people and nearly isolating 350 villages and leaving millions homeless. Here we studied the previous flood disaster at the basin of the Krishna River and processed the GIS environment using software tools. This facilitates exploring the data and methods that are mostly unexplored, and areas that have not lightened in the field of flood studies in Krishna basin. It is impossible to avoid floods and risk associated with flood, however it is possible to work on the flood reduction. Flood hazard mapping is to identify comparatively safe sites in high elevation with low risk is one of the powerful tools for this purpose. Flood hazard mapping flash flood will be beneficial for risk assessment. Management and emergency services during flood events. The objective of this paper is to generate flood hazard zonation maps of Upper Krishna sub-basin using GIS tools and satellite images. To do so, we use spatial data and SRTM DEMs with accuracy assessment is achieved by using check points, obtained by GPS observations. Runoff, surface slope, drainage density, distance to main channel and land use were considered causative factors. All used data are processed and integrated in an ArcMap and QGIS to prepare a final flood hazard map for Upper Krishna sub-basin. The areas in high risk flood zones are obtained by overlaying the flood hazard index map with the zone boundaries layer
The Use of Formal Approach and Techniques Applied to Understand and Improve the Blockchain
Authors: Sharma Utkarsh
Published: July 2022

Abstract: With data volumes expected to expand exponentially in the next years, protecting that data is critical. To ensure the reliability of the system, we use cutting-edge tools like blockchain. It wasn't until the advent of bitcoin, however, that a sizable portion of the population took notice of blockchain technology. Since its inception, blockchain technology has been used in the academic community and by businesses. What this means is that the information is being stored in a way that makes tampering and unauthorized access very difficult. Blocks, an abbreviation for "blockchain," a digital public ledger, are used to record monetary transactions. All nodes will eventually agree on the same sequence of block attachments, and this is achieved by a process termed "consensus." Learning about the inner workings of each blockchain and the rationale for its unique style of operation is possible via a thorough examination of these algorithms. In this study, I examined and contrasted the different consensus mechanisms now in use with consensus protocols, analyzing their relative relevance in blockchain development. The consensus algorithm behind any specific blockchain-based system is crucial to the reliability and safety of that system. Formal approaches may be used to both increase users' trust in blockchain-based systems and design thoroughly tested and trustworthy solutions. To achieve this level of confidence, consensus methods must be effective. Formal modeling is developing a system in a mathematical language, then thoroughly testing and inspecting it to ensure its correctness. This study examined consensus processes and the role formal approaches play in this space to help with the construction of a trustworthy blockchain-based system. To ensure the accuracy of such procedures, this article discusses the current state of applying formal methods to the blockchain consensus process.
Smart Classroom Attendance System Using Face Recognition and Raspberry Pi
Authors: B Smitha Shekar
Published: July 2022

Abstract: Face detection in real-time is a component of an automated face recognition system that is also employed in the development of a separate research subject. As a result, there are a variety of ways for dealing with face detection issues. The goal of our proposed project is to detect and recognize faces, as well as to record attendance for each face. The camera connected to Raspberry pi USB port will capture the faces of students in real-time who are available in the class for face detection using Viola Jones Algorithm. The image which is captured is compared with stored images in database and then recognize the faces of every student using LBPH and according to that, attendance will be given to that class for that particular student. The details of the students are stored in MySQL database. The proposed project is being presented as a solution for the Manual Attendance Marking System. It is designed to be efficient and reliable.
Solar Agricultural Sprayer Robot
Authors: K Vinaykumar
Published: July 2022

Abstract: Manual spraying of pesticides and herbicides to crops and weed inhibitors onto the field are quite laborious work to humans. Manual trimming of selected unwanted plants or harvested crops from the field is also difficult. Our project proposes a multipurpose solar powered, flexible, Remote Controlled, semi-automated spraying robot with 4 Degrees of Freedom (DOF) in spatial movement, with additional plant moving equipment. The robot is designed to spray pesticide/insecticide directly onto individual lesions minimizing wastage or excess chemical spraying, hence making the system cost effective and also environment friendly. It is designed to cut down undesired plants selectively by remotely controlling the start and stop of the moving system. Alternatively, it also serves the purpose of maintaining lawns and sports field made of grass. The same system can be used for water spraying and mowing the grass to desired levels, leading to proper maintenance of the field. The robot is designed to move at 1.4m/s, with an effective spraying area of 0.98 sq. m. by the nozzle and an effective cutting area of 0.3 sq. m. by the mower, when stationary. The prototype has a battery back-up of 7.2hrs under minimum load conditions
Effect of Fibre Loading on Mechanical Behavior of Kenaf Fibre and Nano Silica Reinforced epoxy Resin Composite Material with and without Silane Treatment
Authors: J Nabbel Sulthan
Published: July 2022

Abstract: The main objective of in this the paper presents the investigation by kenaf fiber of silane usage of regarding silicon (IV) oxide on to using several mechanical tests similar to tensile strength, flexural and impact test are mechanical properties which helps to use in various industrial mechanical commercial applications. The kenaf fiber is soaked in a mixture of ethanol and silicon (IV) oxide which is known as treatment process and the non-hydrated kenaf fiber in untreated process. The plates are arranged to ASTM based on dimension in the form 3 ply’s of kenaf layer is inserted; It is molded with the help of epoxy resin. The composites there was fabricated using the hot press to form plate to Infusion in mixture process by the making of a compressed approximate orientation kenaf mat. The natural kenaf fiber as 50% vol with added of each plate in silicon (IV) oxide of 1%, 2%, and 2.5% there was used to make the hybrid composites. Then various test are flexural, tensile, micro hardness, impact and water absorption test, it is also based on treated and untreated values. These are some of the important stages on the followed in these procedures. Improving the impact of kenaf fiber on crack resistance, durability and mechanical properties in concrete applications. In this research, kenaf fiber is separate in treated and untreated composite materials. The mechanical fields which help to develop the efficiency of the experimental where the kenaf fibre material is being used. The main role of reason for the usage of thismaterial is to avoid plastics. Because of natural fibers are commonly weaker than to synthetic fibers, they tend to weaken mechanically and physically over period due to the porosity of the fibers. The final test performed known as tensile in breakage point to be SEM test, the test we can able to see the 200µ to 500µ range in micro image of this material. The composites with added of 2.5% vol nano silica show greatest mechanical methods of the samples treated with an silica nanoparticles at 264 Mpa and 6352 Mpa for flexural strength, flexural modulus. The effects presented that the adding of nano silica (IV) particles with kenaf fiber in general has a good effect on mechanical properties.
IOT Based Illegal Coal Mining Detection System
Authors: Y P Chethana
Published: July 2022

Abstract: When it comes to mining, there are two extremely crucial issues to consider:safety and legality. Illegal mining has been reported in numerous places of India. Combating this problem and ensuring that mining activity is carried out safely, as well as enhancing the effectiveness of discovering unlawful mining activities, is a serious task. At the moment, there is no effective way of detecting the presence of uncertainty in mines at an early stage, and as a result, people are dying. Natural disasters such as earthquakes, automobile collisions, and mine wall failures are all major risks. This project aids in the detection of unlawful mining in safe zones, hence preventing natural disasters. It also uses sensors to send values to the appropriate authorities when it detects any abnormal behavior .When the nodes thatforward the data are picked dynamically based on their battery life, energy efficiencyis practiced. The tool will also keep track of mining activities in remote areas.
Machine Learning Based Text to Speech Converter for Visually Impaired
Authors: c Prof. Vidhyashree
Published: July 2022

Abstract: This project aims to help visually impaired persons sleep in the modern environment, regardless of their disability. To make the material easier to read and understand, we're going to create a standalone text-to-speech engine. Take a snapshot of the printed text using a USB webcam, and then look at the image using optical character recognition (OCR). The recognised text is converted into native-language voice using a text-to-speech algorithm. It is suitable not just for the visually impaired but also for the general public who want to read the content aloud as rapidly as possible. With the use of local language translation, this project attempts to let persons who are blind read typed English documents.
Assessment of Groundwater Quality in Gorakhpur City for Drinking Purpose
Authors: Singh Guru Gyan
Published: July 2022

Abstract: Groundwater is one of the major resources of the drinking water in Gorakhpur city. In this study ten parameters were selected pH, turbidity, iron, total hardness nitrate, chloride, total dissolved solids, sulphate, arsenic and alkalinity for water quality of samples from different sampling stations. The work was carried out during different months such as January, February, March, April and May. The analysis shows that the studied sample's parameters, including pH, turbidity, total hardness, TDS alkalinity, iron, sulphate, and nitrate concentration, are within the allowable range according to drinking water standards. Additionally, it was discovered that there was relatively little fluctuation in the parameter's mean values across samples, in contrast to the higher variation observed across months.
Effect of Pozzolanic Materials on Fiber Reinforced Concrete
Authors: Murmu Sebati
Published: July 2022

Abstract: Different materials like rice husk ash, Ground granulated blast furnace slag, silica fume to obtain the desired needs in this project. Also X-ray diffraction test was conducted on different pozzolanic material used to analyse their content ingredients. I used synthetic fiber (i.e Recronfiber) in different percentage i.e 0.0%, 0.1%, 0.2%, 0.3% to that of total weight of concrete and casting was done. Finally I used different percentage of silica fume with the replacement of cement keeping constant fiber content and concrete was casted. In this study it was used two types of cement, Portland slag cement(PSC) and Ordinary Portland cement(OPC).I have conducted consistency of cement by Vicat apparatus, the workability by Slump cone, compressive strength test by cube test, splitting test, flexural test etc. Finally porosity and Permeability test conducted
Development of Cotton Straw Reinforced TPU Composite and Investigation of Its Mechanical Properties
Authors: Kumar Anil
Published: July 2022

Abstract: In daily life, thermoplastic has a vital role in the environment but due to its non-biodegradable properties its harmful effect to environments. So it in necessary to make the biodegradable composite. In various studies and a lot of research, it is found that natural fibers are available in an abundant form in the environment and there is a lot of research is in progress to utilize natural fiber with plastic to make it biodegradable. Due to its good mechanical properties and ease of availability engineers, researchers, industrialists, professors, scientists have a key interest to utilize natural fiber-based composite. This research work deals with the fabrication of cotton straw reinforced TPU composite by injection molding techniques. To enhanced good mechanical properties, the cotton straw fiber is soaked in 8% NaOH solution, and different five proportions of fiber and matrix are prepared 0:100, 10:90, 20:80, 30:70, 40:60. This research result indicates that the mechanical properties of the composite are better than pure thermoplastic polyurethane while doing various tests like Tensile strength, flexural strength, wear test, shore hardness, and also SEM is used to examine the failure surface of samples
Food Waste Management
Authors: Saba Madiha
Published: July 2022

Abstract: The paper represents the website to reducethe food wastage by providing that too those who are inneed. In todays world people are wastingmore food thanconsuming, which is a huge problem. India ranks 2nd infood wasting, about 68.8 million tons of food is wasted per year. This proposal is to overcome the food wastage problem. It will works as request and response from Restaurants and NGOs. The quantity and lifetime of the food should be mentioned by the restaurants. NGOsshould collect the leftovers from Restaurants before thelifetime of food and distribute among those in need. Andthe restaurants can post the food donated details..
Database Security with Fingerprint Masking
Authors: RM Deepa
Published: July 2022

Abstract: Information in numerous areas including medication, business, and science wasso crucial, in which directories are utilized efficiently for information sharing.Nevertheless, the directories confront the danger to be pirated, taken or even misused, which might lead to many of protection risks regarding ownership rights, informationtampering as well as secrecy safeguards. Watermarking is the technology which is used to secure the database from the various attacks.It is also used to hide the content from the un authorized users. The majority of state-of-the- art techniques alter the initial information to a big level, lead to information quality wreckage,and then can't attain balance that is good between robustness from malicious strikes as well as information restoration. we suggest a reversible and robust watermarking method with Genetic Algorithm and Histogram ShiftingWatermarking (GAHSW) to relation the numerical data. This algorithm used to get the unique key for the database as well as the watermarked place. Experimental evaluation show the usefulness and methods within theterminology of robustness from malicious strikes as well as upkeep of information quality.We have achieved the security level on comparing with existing system
Android Based Indian Currency Recognition System Using Transfer Learning Technique
Authors: Golani Umesh T.
Published: July 2022

Abstract: This work is dedicated to develop a computer vision-based approach for Indian paper currency recognition. In this approach, extract currency feature and develop a dataset which can be used for the currency recognition. Security feature of Indian currency note available on front and back side Rs.10, Rs. 20, Rs. 50, Rs. 100, Rs. 200 Rs. 2000 and Rs. 500 denominations are used in model Training. Advances in technology have replaced people in almost every field with machines. Thanks to the introduction of machines, banking automation has reduced the burden on humans. Banking automation requires more attention to declining currency handling. When the banknote is blurred or defaced, it is difficult to identify its currency value. A sophisticated design is included to increase the security of the call. This makes the call recognition task very difficult. For correct currency recognition, it is very important to choose a good function and an appropriate algorithm. One of the main problems that blind people face is the recognition of money, especially cash. In a way, the seemingly weakened people do not think about cash settlement and run into problems related to cash transactions in their daily life. It is a useful treatment for those who are externally weakened. Studies and trials were conducted according to key points, such as watermarks, images printed on money, the value of words and numbers, and the total amount of information gathering that stimulated CNN using Transfer Learning. And the second thought after designing a proper algorithm for Indian Currency Recognition, the problem is to carry the mechanism, which can be a burden or sometimes forgotten. Therefore this design help in a lot way for easier way to recognising the Currency just by not making an extra equipment, but by designing an android app, where it is not needed to carry any extra thing, as it is included in android smart phone, which is used by almost 748 million people in India.
Fiber Reinforced Concrete Using Coconut Shell
Authors: Mahanta Lohit Kumar
Published: July 2022

Abstract: Coconut shell as aggregate in concrete production not only solves the problem of disposing this solid waste but also helps conserve natural resources. In this paper, the physical properties of crushed coconut shell aggregate were presented. The fresh concrete properties such as density and 28-days compressive strength of a lightweight concrete made with coconut shell as coarse aggregate also presented. The findings indicated that water absorption of the coconut shell aggregate was high about 24 % but the crushing value and impact value was comparable to that of other lightweight aggregates. The average fresh concrete density and 28-day cube compressive strength of the concrete using coconut shell aggregate were 1975 kg/m3 and 19.1 N/mm2 respectively. It is concluded that crushed coconut shells are suitable when it is used as substitute for conventional aggregates in lightweight concrete production
Liquiritin from Glycirrhyza Glabra L (Fabaceae) - A Natural Drug, as a Potent Inhibitor for SARS-CoV-2
Authors: Vanzara Akash
Published: July 2022

Abstract: Novel Corona virus-2 (Covid-19) is spreading and causing major damage around the globe and constantly increasing daily. There is a prerequisite for expeditious development of safe and efficient drugs for such a contagious disease. In this regard, the utilization of a computational approach with an aim to provide potent enzyme inhibitors derived from natural resources will give a providential therapy. The present study investigated one of the promising plants namely Glycyrrhiza glabra L. It has various medicinal properties viz. anti-inflammatory, anti-cancer, anti-demulcent, expectorant, etc. In-Silico Analysis of liquiritin against SARS-CoV-2 Mpro was carried out using Autodock 4.2.6 and results were compared with presently prescribed drugs i.e. dexamethasone, remdesivir, hydroxychloroquine, and azithromycin. The binding energy of liquiritin was found to be - 6.62 kcal/mol. It shows the presence of hydrogen bond, hydrophobic interaction, and electrostatic interaction with six active residues THR26, GLY143, CYS145, HIS 164, GLU166, and GLN189. Comparative studies investigated that dexamethasone, remdesivir, hydroxychloroquine, and azithromycin have four (THR26, GLY143, CYS145, GLU166), three (CYS145, GLU166, GLN189), four (GLY143, CYS145, HIS 164, GLN189), and two (GLU166, GLN189) identical active residues, respectively. The present study recommended liquiritin as a potential candidate against SARS-CoV-2 as it is naturally derived and has tremendous traditional usage against various diseases. However, in-vitro and in-vivo studies are required to prove its efficacy.
BRICS and Its Growing Influence at Global Stage
Authors: Yadav Ajay
Published: July 2022

Abstract: Economic progress is the ultimate key to strengthening any nation. The economic growth of a nation has a significant role in restructuring economic and social aspects. Rise in Gross Domestic Product (GDP) is an indicator of economic growth. Emerging economies grow at a much faster rate than developed nations. Role of emerging economies becomes more vital in the modern world. They represent the significant force in recovery of any global crises. BRICS is an acronym used for emerging economies of the world (Brazil, Russia, India, China and South Africa). The particular study is an attempt to understand and analyze the economic performance of BRICS nations in the 21st century and also to evaluate the rising dominance on the world stage. The relevant data was collected from the website of the World Bank. The study is purely based on secondary data for the first two decades (2000- 2010 and 2011 – 2020) of the 21st century. Descriptive statistics used to analyze and evaluate the data.
Study Trend of PM10 as Air Pollutant in Chandigarh: Case Study
Authors: Kaur Loveleen
Published: July 2022

Abstract: In the current study, air quality analyses for particulate matter (PM10) were performed in the city of Chandigarh. To create average data for the city, data was gathered from a real-time monitoring station located in Chandigarh's sector 25. Every 24 hours, every month, and every season had average concentrations computed. The highest and lowest monthly PM10 concentrations were recorded in the months of October in 2020 and February in 2021, respectively, and August and September in 2020 and 2021, respectively. The monsoon season had the lowest quantities, whereas the winter season had the highest concentrations. Then, using the daily average data, statistical relationships between the air pollution and some meteorological characteristics were computed. The speed of the wind, the relative humidity, and sun radiations were taken into account.
Helmet Detection on Motorcyclists Using Deep Learning
Authors: . Sannidhi
Published: July 2022

Abstract: The most popular vehicles in India are motorcycles and motorbikes. Particularly in India, traffic accidents are a leading cause of death worldwide. Although two-wheeled motorbikes are a logical option for a practical mode of transportation, they also greatly raise the incidence of fatalities and injuries in traffic accidents. Despite government regulations, many people still choose not to wear helmets when driving. A person may choose not to wear a helmet due to their own hasty or deliberate actions. In an effort to increase awareness in society, this project encourages the strict use of helmets and points individuals in the direction of safety. The program helps the traffic police find the violations while not slowing down traffic. When receiving a bill through SMS as they arrive at their homes, no one would ever attempt to break the law. The initiative revolves around the idea of transfer learning. YOLO is the object detection algorithm employed here (You Only Look Once). To try to identify people without helmets and send a snapshot of them to the closest police station, the project uses feature detection, which is the idea behind object detection. We intend to update the project so that it can recognize the license plate, even match the information of the person using the plate, and send an SMS bill to the offender.
Identical Image Extraction from PDF Document Using LBP (Local Binary Patterns) and RGB (Red, Green and Blue) Color Features
Authors: Kumar Dr. Girish
Published: July 2022

Abstract: Content based image retrieval (CBIR) has become a main research area in multimedia applications. In the literature, there is lot of papers focusing on the content-based image retrieval in order to extract the semantic information within the query concept. The content based image retrieval aims to find the similar images from PDF document against a query image. Generally, the similarity between the representative features of the query image and PDF images is used to rank the images for retrieval. In early days, various hand designed feature descriptors have been investigated based on the visual cues such as color, texture, shape, etc. that represent the images. In this project we have developed a method to extract the images present in PDF documents based on appropriate features extracted from query image such as color and local binary pattern features to find perfect matching image is present in PDF or not. Based on similarity analysis model we will display the query input image is present in PDF documents or not. If query matching image is present in the PDF documents then we will display the list corresponding PDF documents using suitable applications to show the presence.
Experimental Investigation on Al 6061 and Al 2024 Aluminium alloys for achieving Surface Roughness using CNC Vertical Face Milling Process
Authors: R Poornesh
Published: July 2022

Abstract: The influence of process factors and the integrity of the surface roughness are investigated experimentally in the current study on the metals Al6061 and Al2024. In order to conduct vertical cutting tests for both base alloys, a mixed level L9 orthogonal array is used. An optical emission spectrometer is used to analyse the chemical composition. SEM is used to analyse the microstructure of the materials used to discover tiny inertinitic precipitates in an aluminum matrix using ANOVA Table value. Mild steel was the tool employed, and surface topography and 2D roughness profile data were used to assess the surface integrity of cut surfaces. The experimental trials with various degrees of process parameters, such as Taguchi L9 orthogonal array. In determining surface roughness, speed, feed, and depth of cut are determined to be the most important variables.
Detection of Alzheimer’s Disease from MRI scan using Machine Learning An Implementation Paper
Authors: V Ms. Dr. Janhavi
Published: July 2022

Abstract: Alzheimer's disease (AD) is a neurological condition that affects people 65 and older and is a leading cause of dementia. It is crucial to get an accurate and prompt diagnosis of Alzheimer's disease in order to stop the spread of this irreversible infection. This study focuses on using AI to analyze MRI data to detect Alzheimer's disease. The cerebrum's hippocampus area serves as the focal point of the suggested approach. Textural characteristics like entropy, homogeneity, energy, difference, relation, and fluctuations are eliminated from the hippocampus region using the Gray Level Co-Occurrence Matrix (GLCM). The same area that the shape highlighted are removed using the second invariant. Error-back propagation (EBP) is a technique used in artificial neural networks (ANNs) to categorize various phases of infection. The proposed framework has an 86.8% accuracy rate.
Application Development for AR and VR devices
Authors: M K Roopesh
Published: July 2022

Abstract: Artificial Reality and Virtual Reality have been the latest trends in the market. They are finding applications in almost all the sectors of the society. Augmented Reality uses CV along with tracking of the depth show the content to the user. AR is designed for unrestricted movement while projecting objects that you are looking at and changes the user’s physical environment with relevant digital data in real-time. A user can experience Augmented Reality with his mobile or special hardware. Virtual Reality allow users to experience scenarios through simulated counterparts and obtain practical knowledge that would else be difficult to obtain in a real environment. Since the field of VR and AR is ever expanding, it is important to provide a very smooth and innovative experience to the end user. Therefore, application development for VR and AR devices is becoming the latest trend and there is a necessity to keep upgrading the content and experience being provided to the user.
Cyber Bullying Detection Using Text, Image and Voice
Authors: Padma Dr. M C , Banasavadi Apoorva
Published: July 2022

Abstract: Through social media, users may have access to a lot of information as well as a pleasant communication experience. Social media, on the other hand, can have negative implications, such as online bullying, which can have a negative impact on people's life, particularly children and teenagers. Cyberbullying is defined as an individual or a group of individuals engaging in aggressive, deliberate acts against a victim using digital communication channels such as sending texts and writing comments. Unlike traditional bullying, which occurs in a face-to-face interaction at school, online bullying on social media sites can occur anywhere at any time.
Observation and Classification of Fauna for Forest Survey
Authors: Naveen Vimal
Published: July 2022

Abstract: Human-animal conflict has become a serious issue in agriculture and forestry, threatening human lives and squandering resources. As human risks to the natural environment increase, so does the necessity to track the evolution of diverse invertebrates. Conservation initiatives should be well-directed, yet the labour required to obtain information is frequently time-constrained. Estimates of the number of mammals give vital insights into conservation measures, but only a few systematic human studies and yearly census efforts have contributed in any way to this endeavour. Even despite these efforts, established techniques of measuring numbers vary greatly and are frequently overlooked in efforts to authenticate the data produced. To address this issue, wildlife monitoring can provide researchers with as much information as wildlife species, quantity, habits, quality of life, and habitat conditions, assisting researchers in understanding the nature and potential of wildlife resources, and providing the foundation for effective protection, sustainable use, and scientific management of wildlife resources. We demonstrate how this tool works in a number of contexts, including animal behaviour, population monitoring, and animal interaction.
Design and Development of Optimized Video Stream processing for Surveillance
Authors: Swami Amarnath
Published: July 2022

Abstract: The majority of current surveillance systems require human participation, with security personnel watching the monitor system & constantly spotting security breaches brought on by operator distraction or the potential for missing persons being discovered. Due to these difficulties, automated video surveillance is required in order to track, detect, and record security vulnerabilities in a monitored environment. We have reviewed the automation of monitoring using IP cameras in this paper. There are many uses for video surveillance. With the usage of Kafka, we have concentrated primarily on live streaming of video surveillance, face detection, and motion/object identification.
A Review on Utilization of Processed Inorganic Mixed Municipal Solid Waste by Mechanical Device in Manufacturing of Bricks
Authors: Jangir Bhavana
Published: July 2022

Abstract: Municipal solid waste which is increasing day by day becomes eyesore and in turn pollutes the environment. The modern world is having a significant waste management crisis, particularly inorganic mixed municipal solid waste. Every day, hundreds of tones of inorganic mixed wastes are thrown in landfills, yet there aren't enough methods in the world to process and recycle them. Every day, a considerable volume of non-biodegradable waste is dumped or burnt, damaging the environment and the air. The accumulation of non-biodegradable trash in the environment is harmful to both plant and animal life. Nonbiodegradable pollutants like Polyethylene Teraphthalate pose a significant environmental burden, and recycling them is difficult owing to their non-biodegradability. The huge amounts of materials required for infrastructure construction provide a potentially major opportunity for waste material reuse. To resolve this concern, plastic waste has been mixed with clay to form brick for construction purposes. This alternatively saves the quantity of sand/clay that has to be taken away from the precious river beds/mines. The inorganic MSW is naturally available in surplus quantity and hence the cost factor comes down.
A Review Study on Behavioral Similarity Between Marshall Stability and Indirect Tensile Strength Values for Bituminous Concrete Using VG-30 and VG-40 Grade Binder
Authors: Singh Narender
Published: July 2022

Abstract: Rutting, displacement, cracking, distortion, and fatigue are all issues that pavement engineers are concerned about. The Marshall Stability test is used to determine the compressive properties of the bituminous mix, and the Indirect Tensile Strength (ITS) test is used to analyse the tensile properties. Many studies on Marshall Stability and ITS have been conducted separately; however, these two have not been studied together. An effort has been made in this proposal to study the behavioural similarities between them. Further research on this topic will also determine the correlation between Marshall Stability values and Indirect Tensile Strength values for Bituminous Concrete at various bitumen content, as well as interpret the suitability of these tests in mix design. The study will provide guidelines to designer to established relevancy of necessity to conduct of both the test.
Sentiment Analysis on Covid-19 Using Deep Learning
Authors: Mehta Soni
Published: July 2022

Abstract: The social media has immense popularity among all the services today. Twitter is one of the widely used platform by people to express their opinions and display sentiments on different occasions. Sentiment Analysis is a classification task in order to identify public reviews about different issues like reviews about movies, restaurants and other current issues by extracting the public reviews from social media. As we all know the world was hit by a global pandemic of COVID-19 and it is still a global issue. Due to rapid increase in the infection people were expressing their emotions, thoughts, and were having mixed feelings regarding the situation. The main objective of this research paper is to analyze the emotions expressed by people using twitter data. The corona specific tweets are collected from twitter and pre-processing is done to clean the data and later word embedding pre-trained model is used and finally CNN, LSTM and CNN-BiLSTM hybrid deep learning approaches are applied. The mode l is evaluated using accuracy, precision and recall techniques.
A Review on Development of Municipal Solid Waste Re-Derived Fuel Pellets from Mixed Municipal Solid Waste Using Smart Machine
Authors: Singh Nikita
Published: July 2022

Abstract: Municipal Solid Waste Management (MSW) and devise cost effective system which may ensure adequate level of MSW services to cities, segregation, treatment and disposal of Solid waste in an environmentally acceptable manner The wastes generated are either dumped in lands or find their way to the water bodies. This results in severe land, waste and air pollution. Our country generates thousand tons of municipal solid waste daily. So we have huge potential of energy generation from waste. Many countries are suffering from waste disposal problems and fuel shortages. To solve both waste and energy problems simultaneously, the refuse derived fuel (RDF) approach has been utilized in many countries. The purpose of study is to evaluate the energy potential of the RDF obtained from utilizing processed solid waste generated from the smart Dross Machine.
Chatbot Web Application using DIET
Authors: G Arvind
Published: July 2022

Abstract: A chatbot is a computer program that is capable of communicating with the user in natural language in order to understand and parse the technical query. Such a program is frequently employed by organizations in order to automate the task of customer care and services. We have focused on designing a chatbot for our college, the Bangalore Institute of Technology. The current chatbot that is present in the official website for BIT is only an interface connecting the user to a live agent and is therefore unavailable for use most of the time. This inspired us to design a much better alternative for the existing chatbot using the DIET algorithm, that is accessible all the time and provides accurate responses in the blink of an eye
ANALISIS PENGARUH SUKU BUNGA SERTIFIKAT BANK INDONESIA DAN JUMLAH UANG BEREDAR TERHADAP TINGKAT INFLASI DI INDONESIA PERIODE 2006.1-2015.12 (PENDEKATAN ERROR CORRECTION MODEL)
Authors: Rahmawati D.A. Dwi , Riyanto Wahyu Hidayat
Published: July 2022

Prominent characteristics of the direction economic policy in Asia is the emphasis on the inflation rate. Inflation is defined as a condition increases the price of prevailing goods in an economy continuously. The purpose of this research is to find out and analyze the influence of Bank Indonesia Certificate interest rate and money supply toward the inflation rate in Indonesia. This research method using time series of monthly data during the period of the 2006.1-2015.12 model approach using error correction (ECM) in the long term or short term. The results of the estimation of cointegration equation indicate that on the long run variable Bank Indonesia Certificate interest rate and money supply is significantly effected by  to the inflation rate in Indonesia. While ECM model is considered valid because the error correction term (ECT) has significant value. In the short term only Bank Indonesia Certificate interest rates that influence significantly to the inflation rate in Indonesia. Keywords: inflation, interest rates, money supply, error correction model
Analisis Kelimpahan Dan Indeks Saprobitas Fitoplankton Pada Ekosistem Padang Lamun Di Pantai Sindhu, Sanur, Bali
Authors: Sang Ayu Made Putri Suryani  , Laras Syahrani  , I Wayan Arya
Published: July 2022

Abstract

Sindhu Beach is one of the beaches in the Sanur area that is used for various economic activities, such as recreational locations or marine tourism by involving many stakeholders that can affect the aquatic environment which is the habitat of marine biota, is phytoplankton. In addition, the presence of seagrass also affects the abundance and saprobity index of phytoplankton. The research was conducted in May 2021 at Sindhu Beach and the identification process was carried out in the laboratory of the Faculty of Agriculture, Warmadewa University. The method used is the descriptive method. There were 20 types of phytoplankton from five classes, namely Chlorophyceae, Diatomae, Bacillariophyceae, Cyanophyceae, and Dinophyceae classes. The highest abundance of phytoplankton in the third observation was 206.369 ind/l at Station 1 and the lowest at the third observation was 152.866 ind/l at Station 2. At Station 1, the lowest water saprobic index was 0.047 in the first observation, followed by the second observation at 0.130, and the highest at the observation third at 0.307. This value is included in the moderately polluted category. At Station 2, the lowest water saprobic index in the first observation was -0.538, followed by the second observation at 0.28 and the highest at the third observation at 0.523. This value is included in the category of lightly polluted. At Station 3, the lowest water saprobic index in the first observation was 0.307, followed by the second observation at 0.615 and the highest at 0.739. This value is included in the category of lightly polluted.
Pengaruh Pemberian Biochar Dan Pupuk Urea Terhadap Pertumbuhan Dan Hasil Tanaman Pakcoy (Brassica rapa. L)
Authors: I Made Baskara Adi  , Made Suarta  , Anak Agung Sagung Putri Risa Andriani
Published: July 2022

This research was conducted in the greenhouse of the Faculty of Agriculture, Warmadewa University, Denpasar, starting from October 25 to November 29, 2019. This study aims to determine the effect of giving biochar and urea fertilizer on the growth and yield of pakcoy (Brassica rapa L). The research was conducted through this experimental method using a randomized block design (RAK) with two treatment factors. The first factor is biochar which consists of four dosage levels, namely: B0 (0 tons ), B1(5 tons ), B2 (10 tons ) dan B3 (15 tons ), the second factor is urea fertilizer which consists of three levels, namely: U1 (50 kg U2 (100 kg ) dan U3 (150 kg )The results showed that the treatment of biochar and urea fertilizer and their interactions had no significant effect on the growth and yield of pakcoy plants.
Pengaruh Pemberian Pakan Yang Berbeda Terhadap Pertumbuhan Dan Sintasan Juvenil Udang Galah (Microbachiium Rosenbergii De Man)
Authors: Luh Saras Maheswari  , Dewa Gede Semara Edi  , I Made Kawan
Published: July 2022

The gaff (macrobrachium rosenbergi DE man) is a type A highly cultivated freshwater shrimp that is kept in freshwater pools, lakes, and even in the ebb and flow of upstream and downstream. The stick shrimp has a larger size than other freshwater shrimps, which are relatively slow, so it takes a natural expert to increase growth and survive the natural food-fodder fodder worms that are used in Hong Kong worms and silk worms. The study is aimed at seeing how different types of feeding different types affect the growth and survival of the spear shrimps. This research was done in br. The full - time ministry of October 2020 to November 2020. The method used in this study is an experimental method with a full random design study (ral) With 5 (5) treatment and 3 (3) times deuteronomy. Analyze which Used in the study is a variable analysis (anova), and followed by UI BNT Studies have shown that there has been an effect of feeding on the growth and survival of the spear's prawn, an increase in absolute weight and absolute length Juvenile spear shrimp.
Penambahan Carboxymethyle Cellulosa (CMC) Dan Lama Penyimpanan Pada Suhu Dingin Terhadap Karakteristik Susu Kacang Merah
Authors: Richard Randi  , I Wayan Sudiarta  , I Nyoman Rudianta
Published: July 2022

Local nuts are an alternative source of vegetable protein that is cheap and affordable by the people of Indonesia.  Peanuts whose potential has not been fully explored, including red beans, green beans, and cowpeas are types of beans that have the potential to be developed in various products of the food industry (Fachrudin, 2009).  One type of legume that is very good for consumption is red beans.  This study aims to determine the addition (CMC) and storage time at cold temperature to the characteristics of red bean milk.  The research design used a completely randomized design (CRD) factorial pattern with two factors and two replications, namely factor I was the addition of CMC treatment consisting of 4 levels, namely: (0.04%), (0.06%), (0.08  %), (0.10%).  Factor Il is the treatment of shelf life which consists of 4 levels, namely: 0 days, 3 days, 6 days, and 9 days.  Observations were carried out objectively including: moisture content, ash content, fat content, protein content, carbohydrates, viscosity, pH and color.  Meanwhile, subjective observations include: color, aroma, taste, texture and overall acceptance.  The best research results were obtained in the treatment with the addition of 0.06% CMC and storage time on day 3, with the results of 91.82% moisture content, 0.64% ash content, 1.92% fat content, 3.09 protein content.  %, carbohydrate content of 2.73%, viscosity 29.75%, pH level of 6.57%, and subjectively have the highest preference for panelists
DAMPAK ANTESEDEN DIMENSI KUALITAS TERHADAP KEPUASAN PENGGUNA SISTEM E-FILING (STUDI EMPIRIS PADA WAJIB PAJAK UMKM DI KABUPATEN GIANYAR BALI)
Authors: Astakoni I Made Purba , Swaputra Ida bagus , Richadinata Kadek Ryan Putra , Verawati Yenny , Utami Ni Made Satya
Published: July 2022

Penelitian ini bertujuan untuk menguji secara empiris pengaruh kualitas informasi, kualitas sistem dan kualitas pelayanan terhadap kepuasan pengguna sistem e-filing. Model penelitian yang ditawarkan mencoba mengangkat model order pertama dan order kedua dalam menguji pengukuran terhadap indikator yang ada. Sampel diambil dari seluruh populasi wajib pajak usaha mikro kecil dan menengah (UMKM) yang tersebar pada tujuh kecamatan di Kabupaten Gianyar yaitu sebanyak 128 UMKM. Teknik analisis data dalam peneltian ini menggunakan analisis SEM-PLS untuk menguji hipotesis penelitian. Dalam studi ini PLS dianggap tepat untuk menguji model dalam mengembangkan teori yang ada. Hasil evaluasi model secara keseluruhan berdasarkan nilai R-Square (R2), Q-Square Predictive Relevance(Q2) dan Goodness of Fit (GoF) bahwa model dinyatakan baik. Hasil pengujian hipotesis pertama mengindikasikan bahwa kualitas informasi berpengaruh signifikan positif pada kepuasan pengguna sistem e-filing. Hasil pengujian hipotesis kedua mengindikasikan bahwa kualitas sistem tidak berpengaruh pada kepuasan pengguna sistem e-filing. Hasil pengujian hipotesis ketiga mengindikasikan bahwa kualitas layanan berpengaruh signifikan positif pada kepuasan pengguna sistem e-filing.
Arabica Coffee Plant Response to Atonic Concentration and Production Pruning
Authors: Ni Luh Putu Sulis Dewi Damayanti  , I Gusti Bagus Udayana  , Yohanes Parlindungan Situmeang
Published: July 2022

This study aims to determine the effect of atonic concentration, pruning, and the interaction between atonic concentration and pruning on the growth and yield of arabica coffee plants. This research was conducted at UPP. Catur Paramitha, Catur Village, Kintamani District, Bangli Regency with an altitude of 1250 m above sea level. The experiment lasted for 3 months from September to November 2021. The design used in this study was a Randomized Block Design (RAK) with 2 factors arranged in a factorial manner. The first factor is atonic concentration with 4 levels, namely Ao: 0 ml/l, A1: 1 ml/l, 2ml/l, and 3ml/l while the second factor is pruning which consists of 2 levels, namely, without pruning and with pruning. Observations on the observed variables were carried out every 2 weeks. The variables observed were branch length (cm), number of leaves (strands), number of new shoots (fruit), number of flowers (buds), number of fruit (fruit), and number of the stump (bunch). The results of statistical analysis showed that giving atonic concentrations to coffee plants had a significant to a very significant effect on the variables of number of leaves, number, number of new shoots, number of flowers, and number of fruits, and no significant effect on branch length and number of buds. The pruning treatment showed a very significant effect on all observed variables except for the variable length of branches and the number of buds which showed no significant effect. The interaction between the treatment of the effect of atonic concentration and pruning had a significant effect on the number of leaves, a very significant effect on the number of flowers and fruit, and an insignificant effect on the variable length of branches.