Volume 08, Issue 03, June 2022

The present Project is focused on the issues faced by the corporation of Chennai and its front line workers involving in the collection of garbage and solid waste from the households, segregation and disposal. The corporation of Chennai is taking its level best efforts to segregate the waste. But the non co-operation from households and huge quantity of solid waste from hotels, slaughter houses, wet markets and meat retail outlets

The present paper demonstrates how Discrete Orthonormal S-Transform (DOST) can be implemented for fault recognition in a power system network. A single circuit 3 -phase power transmission network has been considered for study. The simulated Voltage signal of each phase at the sending end of the network has been used for obtaining features by DOST under different fault conditions. The output matrix of DOST is a row vector

Facial spoofing assaults have attracted considerable attention due to criminals utilizing various tactics such as distorted photographs, cropped images, 3D masks, and so on to fool face recognition systems easily. Deep learning models provide solid solutions for improving the security measures of biometric systems, yet, achieving the advantages of multilayer features remains a considerable difficulty

Tropical cyclones (TC) are among one of the deadliest natural disasters which affect millions of people living in coastal areas around the world. In early days limited tools were available to analyze the huge meteorogical data that were generated continuously over time. With the advent of computing power and artificial intelligence based techniques it is now possible to predict the origin, landfall and intensity of the tropical cyclone

Machine Learning is a fundamental examination field as it has been used in remotely sense picture arrangement. In picture order, information are comprised of loads of tests described by numerous datasets. Subsequently elevated degree of exactness as far as characterization and preparing execution is a major test. Machine learning methods have comprehensively utilized to construct a significant and exact order models

Settlement under the foundation is caused by poor soil compaction, incorrect footing design, limited bearing capacity of the soil and an incorrect load estimate from the superstructure and so on. The superstructure carries the entire load. As a result, the most important part of a structure's foundation is its foundation. Structure's most vital and crucial component There are numerous options. There are various sorts of foundations

Food, cloth and shelter are the basic need of the human being. For the shelter the roof concept originated. But due to the rain or highly speedy wind, the roof is flied or collapsed so that the new concept originated i.e. slab structure. But in that time slab is made up of mud but it also not giving strength to the structure and it is not to be sustain the loading of the structure so that the concrete slab concept is generated

Bridge is the main transportation media for the water or vehicles or at any place having obstruction from where no one can pass. In that case,there is the necessity of the bridge. Bridges are also of many types but in this study the normal bridge is made up of piers, abutment, slab and foundation. Same components of the bridge are also required for the box girder bridge but instead of piers, wings are used

The Alcohol Sensor and Arduino-UNO as the controlling unit are used in this project to build and construct an Alcohol Detection with Engine Locking for vehicles. The system will continually monitor the amount of alcohol concentration using an alcohol detection sensor, and if the alcohol concentration exceeds the threshold level, the vehicle's engine will be turned off. Using the SIM800A and NEO6M GPS modules

Internet produces data incrementally in today’s busy life everyone wants the things easily, accurately. Absolutely human produces the summary of document accurately without any mistake, but it is time consuming task, we want such system which produces summary of documents within less time, only Automatic Text Summarization is only approach which compress and minimize the original text document by using algorithm

Due the significant development of technology and high demand for internet usage by over billions of people globally have resulted in the occurrences of so many online criminal offences such as cyberbullying, cyberstalking, internet fraud, file sharing and piracy among others. The means of using electronic devices to harm, harass or insult other people by sending harmful and abusive messages is termed as cyberbullying

The Underlying cause for a successful operation and the completion of a Project is the Project Management framework used which affects its efficiency, project oriented operations, and thus business processes and its market. Software development can be defined as creating new software or fixing the existing one. Technology developments led to increasing demand for software. IT Companies should be able to project well maintenance

Fundamental analysis is considered to be one of the simplest ways of evaluating a company but stock valuation is one of the most complex tasks in financial analysis. The main objective of fundamental analysis is to determine the actual current value of the company and main aims of fundamental analysis is prediction of future profits, dividends and the risk in order to calculate the true value of the stocks

It has become necessary to evaluate the seismic capability of medium-rise buildings to quantify the associated repairs, casualties and downtime of usage of property for a predefined seismic hazard. This ensures safety for both structure and occupants life. The present study focuses on a parametric analysis of nine storied 3D-bare frame using performance-based seismic evaluation procedures

Composite materials are perfect for structural applications that demand a high strength-to-weight ratio. Composite materials are cost-effective in weight-sensitive systems like aircraft and spacecraft. Manufacturing methods, anisotropy, elasticity, material strength, and micromechanics are all subjects included in the research of composite materials. The goal of this research is to investigate the possibilities of Human Hair fibre polymer

This paper describes the procedure for the estimation of 100 Year return period Flood using Flood Estimation Report for Sone Sub Zone – 1(d) by Central Water Commission (CWC), New Delhi. The Dam project for which the estimation of the flood has been carried out is Durgawati Dam project, which is in Kaimur district in the Indian state of Bihar. With the help of Flood Estimation Report of CWC, 25/50/100 year return period flood.

The image naturally corrupted with noise is the most classical problem in the field of image processing. Random noise can be easily removed by utilizing simple threshold methods. De-noising of the natural images distorted by the Gaussian noise using wavelet technique is the very efficient technique because of its ability to capture the energy of a signal in few energy transform value. The wavelet based denoising scheme thresholds

As Cloud applications spread throughout smart city appliances, industry, and agriculture, the volume of data saved in Cloud databases grows. Large volumes of actuator and sensory data must be processed in real-time or interactively by modern database systems. Database providers are battling this first wave of the Cloud revolution on a daily basis to expand their market share, create new capabilities, and try to fix the flaws

Axle housing is one of the main component to play vital role in the various automobiles which is placed to rear end at the vehicle and carries different loads and stresses both static and dynamically at the same time transmit the power. Both the front and rear axle openings have centre housing. This project analyzing the static and model analysis of rear axle housing on different materials like steel, aluminium alloy

The Capital Asset Pricing Model (CAPM) is a general equilibrium market model evolved to analyze the relationship between risk and required rates of return on assets when they are held in well-diversified portfolios. As a result, a security's only impact on market risk is through its systemic risk; however, measuring systematic risk does not reveal whether or not stocks are accurately priced. Risk and return are related

Although tremendous progress has been made in the creation of high-performance steel alloys like stainless steel, the steel construction sector has historically been overshadowed by the use of carbon steel structural elements. Generally speaking, stainless steel can be divided into three basic classifications: austenitic, ferrite, and duplex

Textile reinforced concrete is gaining popularity in construction industry due to it’s higher strength, stiffness, and flexibility . TRC consist of fine-grained concrete matrix reinforced by multiaxial, non corrosive textile fabrics. The use of textile fibers for repair and retrofit are gaining popularity for its direct role in reducing construction time

To accommodate the growing population's economic and developmental needs, there is a significant demand for usable space in many large urban centres. In this regard, using the available coastal sea space is a workable solution to the land scarcity problem. Floating structures have been built along coastlines in many different nations for this purpose.

Concrete from construction and demolition (C&D) waste may be reused as coarse recycled concrete aggregate (RCA) thus reducing the usage of natural aggregates and conserving their sources. RCA is a two-phase material that consist of original virgin aggregate and adhered mortar which is the residual mortar content (RMC). Equivalent mortar volume (EMV) method.

Employee Retention is a challenging concern of the organization. This study stressed on Employee Retention strategies. Employees are the assets of the organization. To retain skilful and committed employees in the organization, management should take care of employee satisfaction. Find out the reasons of employee turnover and overcome this.

The study's goal is to connect the social and personal factors that are considered when lending money to an entrepreneur. The paper attempts to measure the bank loan officer's perception of male and female entrepreneurial loan borrowers, as well as their attitude, feelings, and perception, in order to determine whether it has a significant relationship with repayment performance

Casting defects are corrected in a variety of ways in the casting industry. Casting rejections in significant numbers are a waste of both money and time. Single defects in casting can have single or multiple reasons, thus identifying what's causing the fault is important. Modern technology of simulation has minimized wastages while also reducing defect rates. It will be useful to take a more controlled approach to identify, detecting.

Demand for grid power or DG (Diesel Generator) to recharge electric cars is projected to rise. Solar PV arrays, BES, diesel generators, and grid-based EV charging stations enable on-demand charging (CS). Many innovative methods are being developed to reduce the grid effect of EV recharging. The charging station has a solar PV array and a BES. In the lack of solar PV array production, the charging station draws power from the grid

These years, with ML and AI becoming the hotspot of research, several applications have come forth in each of these areas. It exists as a kind of academic frontier as well as something close to our life. In this trend, the combination of both medical field and machine learning become more emerging. This research paper proposes the idea which remarkably reduced the existing situation of unbalanced medical distribution and resources strain

Alzheimer's complaint is the one amongst neurodegenerative diseases. This complaint is a grueling bone because there's no treatment for the complaint. Opinion of the complaint is done but that too at the after stage only. Therefore if the complaint is prognosticated before, the progression of the symptoms of the complaint can be braked down. This paper uses machine literacy algorithms to prognosticate Alzheimer's complaints using cerebral parameters

This study present how a robot responds to voice input. This paper illustrates how a robot interacts with a human by responding to voice commands. This system is quite quick. The first portion of this system is a voice recognition system, followed by a central controller system, and finally a robot. The employment of robots in today's world has spread from industries to everyday life. A healthy interface between people and robotics is critical

Breast cancer is a form of cancer which originates in breasts of women. Cancer is caused by uncontrolled cell division or expansion. Breast cancer cells usually form a tumor that can be seen on an X-ray. Breast cancer has become one of the most well-known illnesses among women, resulting in the death of the most prevalent malignancies in women. Early treatment helps to cure malignant growth and prevent its recurrence

In this research, author present an approach for detecting web application vulnerabilities using Machine Learning (ML). Due to their diversity and broad use of bespoke programming approaches, web applications are particularly difficult to analyses. As a result, machine learning highly valuable in web security: It might blend human understanding of web app semantics into mechanized analysis techniques using manually explained data

the widespread cloud computing technology, smart phones may now store and access personal information from any location at any time. Consequently, the database security issue in mobile cloud is becoming increasingly serious, impeding the mobile phone usage is increasing cloud. There have been numerous studies undertaken to increase cloud security. However, because mobile devices have very limited processing abilities and power

In recent years problems associated with cyber-attacks and privacy of data have increased which is resulting in the speedy growth of Cloud Computing. Secure cloud computing services gets connected on a blockchain platform with the support of this work, which is called cloud@blockchain, which enjoy the notoriety and unchangeable side of blockchain. Cloud@blockchain designs two functions- unidentified file sharing and evaluation

The Random Forest & SVM are put forward to estimate the outlay of CO2 outpouring. Energy expenditure, such as power and coal energy, is the cause of the aggressive growth in CO2 emissions. The aim is to track co2 emissions gleaned from electrical energy and coal utilized in the manufacturing process. In setup to train and test the model, the statistics on electrical and energy were obtained

In today’s life everyone has been trying to be conscious about health due to workload and busy schedule this gives attention to the health when a it shows symptoms but chronic kidney disease does not shows particular symptoms it is difficult detect and predict, to prevent this best solution prediction and analysis this problem Chronic Kidney Disease (CKD) has the type of chronic disease which means that a it happened calmly over period of specific time

This project describes a content analysis of text to spot suicidal tendencies and kinds. This article describes the way to make a sentence classifier that uses a neural network created using various libraries created for machine learning within the Python programing language. Attention is paid to the matter of teenage suicide and «groups of death in social networks, the look for ways to prevent the propaganda of suicide among minors