Showing papers in "International Journal of Trendy Rresearch in Engineering and Technology in 2022"

Survey on crime analysis and prediction using machine learning techniques

Abstract: As of late, wrongdoing has turned into a noticeable type of mischief to individuals and society. The ascent in wrongdoing is making imbalance in the society. To examine and answer to the idea of a wrongdoing, it is critical to see how the wrongdoing was perpetrated. It is a wrongdoing used to recognize wrongdoing in each side of the globe. The principal aim of this venture is to decrease wrongdoing in the most impacted regions. In this task, we anticipate the assortment of wrongdoings, the most apparent month, the most noticeable time, and the date of event. Some AI calculations, like Naive Bayes, were portrayed in this work to carry out various sorts of wrongdoing, and the current uprightness was higher than arranged.

Vaccine registration system integrated with keycloak

Abstract: The objective of this paper is to provide an online registration system for covid-19 vaccination. In this crisis, it will be difficult to register in person and get vaccinated after waiting in a queue for a long period; thus, registering online is the safest and most convenient way to schedule slots on a convenient date and get vaccinated. We built this application using spring boot, which allows developers to directly get into coding without wasting time in setting up and configuring the environment. For authentication and authorization, we integrated it with keycloak, a third-party service, which is a simple way to make our webbased apps more secure and Keycloak provides distinctive features to the application like single Single-Sign On, OpenID Connect Support, Social Logins and many more. So, this is a web-based service where any individual can conveniently schedule their slots from anywhere according to the availability in their desired locations.

Tensile/compressive and flexural properties of natural/synthetic hybrid fibre metal laminate composites

Abstract: The mechanical properties of any material are the most important factor considered in producing components in the structure; therefore, the reinforced fibre-metal laminate composites can be in automotive and aerospace industries and other local manufacturing companies, due to their high strength and stiffness. The study investigates the tensile, compressive and flexural properties of the fabricated composites (kenaf and flax composites). The two composites were fabricated in a mould using a traditional method (hand lay-up) cured at room temperature and post-cured in an oven at 80⁰C for 3 hours. The properties test of the composites was carried out using a universal testing machine (UTM). Five samples were cut from each sample based on the ASTM standard for tensile, compression, and flexural test. The result of the test shows a decrease in the properties of pure synthetic fibre metal laminates. Flax composite is 14.22% and 22.03% greater than kenaf composite and 25.64% lower than it in terms of tensile, compressive and flexural strength respectively. Based on the strength obtained in the study, the composites can be used in automobile and aerospace industries for developing different components even in the interior and exterior sections of aerospace.

Text summarization using nlp

Abstract: This Project represents the work related to Text Summarization. In this paper, we present a framework for summarizing the huge information. The proposed framework depends on highlight extraction from the internet, utilizing both morphological elements and semantic data. Presently, where huge information is available on the internet, it is most important to provide improved ways to extract the information quickly and most efficiently. It is very difficult for human beings to manually extract the summary of a large document of text. There are plenty of text materials available on the internet. So, there is a problem of searching for related documents from the number of documents available and absorbing related information from it. In essence to figure out the previous issues, automatic text summarization is very much necessary. Text Summarization is the process of identifying the most important and meaningful information in an input document or set of related input documents and compressing all the inputs into a shorter version while maintaining its overall objectives.

Concept mapping as a teaching strategy: benefits and challenges in higher institution

Abstract: The study is a descriptive survey research designed to investigate concept mapping in education: benefits and challenges in higher institutions. The area of the study is the Federal college of education (Technical), Omoku. The population of the study comprises all teaching practice students in the Faculty of Science. A sample of 100 students was involved in the study. Purposive and stratified sampling technique was applied in the selection process. The Instrument used for the study to collect data from respondents is a structured questionnaire titled concept mapping in education: benefits and challenges in the higher institution (CMEBCHI) with 30-item questions. The reliability co-efficient of 0.72 was gotten. Mean and Standard Deviation were used to answer the research questions while the Z test was used to answer the hypotheses. The study found that concept maps can be used to increase learning by relating new and old knowledge and concept mapping helps students to make meaningful connections between the main idea and other information. Based on the conclusion, the researcher recommended that Teachers should use concept mapping as a useful cognitive tool for enhancing students’ critical thinking by encouraging students to process information deeply for understanding

Analysis of one-way streamline flow between parallel plates via rohit integral transform

Abstract: This paper illustrates the application of the Rohit integral transform for analyzing the one-way streamline flow between parallel plates directly without finding the general solution of a differential equation relating to the flow characteristic equation of the viscous liquid. Viscosity is the characteristic of a fluid (liquid) due to which viscous force becomes active when the fluid is in motion. This force opposes the relative motion of different layers of the fluid. This viscous force becomes active when the different layers of the fluid are operating with different velocities which leads to shearing stress between the layers of the operating fluid. In this paper, Rohit integral transform is applied for solving the differential equation relating flow characteristics of the viscous liquid to obtain the velocity distribution and shear stress distribution of a one-way streamline flow between the stationary parallel plates as well as between the parallel plates having a relative motion

The use of interactive whiteboards for teaching and learning in tertiary institutions

Abstract: The study is descriptive survey research that is intended to examine how interactive whiteboards are used in tertiary institutions for teaching and learning. The Ignatius Ajuru University of Education in Rivers State is the study's location. All education students at Ignatius Ajuru University of Education's Faculty of Education make up the study population. The study included 270 pupils as a sample. Using a simple random sampling procedure, candidates were chosen. The interactive whiteboard for teaching and learning at tertiary institutions (TUOIWBFTLTI), a structured questionnaire with 30 items, was utilized as the study's instrument to gather data from respondents. The responses were correlated and a test-retest was used to achieve a reliability coefficient of 0.64. The statistical methods for the investigation were mean and standard deviation. The study discovered that students' interactive whiteboards incorporate different learning styles into a single experience, are spotless and require very little maintenance, and don't require chalk, markers, or any other writing implements. The researcher advises using smart interactive whiteboards for student presentations in light of the findings.

A study of an eco-friendly street lighting system for a sustainable future

Abstract: The fundamental goal of this research is to create something that is long-lasting, environmentally friendly, and energyefficient for everyday consumers. As a result, the concept of an automatic green street lighting system was proposed, addressing the issue of needless road illumination and, in particular without energy wastage. Street lighting when it is not required is a waste of resources and electrical energy in general. Modern civilization has adopted the philosophy of "Going Green," which is emphasized at all times, particularly in the engineering field. Engineers come up with novel ways to save energy while improving the efficiency of their goods. One of these methods is to use a smart system, which has applications in numerous areas of society, such as at home, at work, and so on. Our main goal is to reduce energy while maintaining user-friendliness. Smart systems, created years ago, are still the foundation and are used to this day, improving as time goes on and striving for even greater development.

Depth of significant consolidation pressure in subsoil underlying a highway embankment

Abstract: The Consolidation Pressure is to be reduced with the depth of subsoil underlying a highway embankment. The depth is significant stressed zone (Ds) at which the pressure reduced to 0.2 or 20%. The of Significant Consolidation Pressure (Ds,cp) has been obtained for the range of crest width at the top level of the embankment from 5m to 50m and for the range of embankment height from 1m to 12m considering full consolidation pressure (Δσ). Significant stressed zone for 20% of full consolidation pressure (Δσ) is found as 4-30He for embankment top width 5-50m. These values are too high and separate values of Ds,cp for 30% of full consolidation pressure (Δσ) are also evaluated. Significant stressed zone for 30% of full consolidation pressure are found as 2-6He for embankment top width 5-50m. These values are not too large and reasonably practical to use.

Experimental study on air cooling system by using convergent nozzles

Abstract: Air conditioners (AC) are costly and most of the Indians use evaporative cooling system i.e Desert cooler for cooling on regular basis. However the use of evaporative cooling system is not favorable in all conditions . Because for comfort we have to consider temperature as well as humidity. The climate of India consists of wide range of weather conditions across a vast geographical scale and varied topography , making generalizations difficult. More over India has a wide range of coastal area. The costal area get hotter in summer and it has humidity too . We can’t use evaporative cooling system in these conditions , as it increases humidity which makes the surrounding uncomfortable. Hence, our project aim is to develop an alternative for evaporative cooling and also , to build something which is cost effective and comparatively efficient. In our project rather than using water to reduce temperature which increase humidity, we use nozzles which help in reducing temperature without using water as evaporative cooling system and without using gases as in AC.

Characterization of cylindrical structure fabricated using glass fiber reinforced polymer and machined by abrasive jet machining

Abstract: Composite materials play an important role in many industrial applications. Researchers around the world are working to create new composites to improve the usefulness of these materials. GRP (Fiberglass Reinforced Polymer) is a composite material made from a fiberglass reinforced polymer matrix. They have better stiffness, strength, electrical conductivity, low coefficient of thermal expansion, excellent fatigue resistance, and the ability to produce materials of complex shapes. I am. In this study, different layers of different types of fiberglass cloth are used to manually manufacture fiberglass reinforced polymer hollow cylinder components and test the torsional and compressive strength of the sample. There are various fiberglass fabrics such as veil mats and textiles. Analysis is performed on the different types of samples generated to see if they are suitable for different applications. The results of the study show the effect of different layers of fiberglass on their strength and the possibility of replacing the weakly transmitting metal shaft with a composite shaft (GRP).

A study on fsw parameters of joining dissimilar metals - al and fe

Abstract: The materials with similar and dissimilar qualities are joined effectively in their solid-state by Friction Stir Welding (FSW). FSW eliminates the conventional problems and produces crack-free and completely solidified joints. In recent years the commercialization of FSW is focused on metals like Fe and Al-based alloys. However, to commercializesuch a process numerous research studies are required to characterize and establish process windows. FSW process is suitable for joining the different materials having different mechanical and chemical properties and for different material structures. In general, aerospace applications require hybrid metal joins to offer high strength – high ductile properties by joining varied metal alloys. FSW is the feasible way to join such metals to get high properties. This review mainly provides the feasibility ofthe FSW technique to join the different materials/alloys.

Machine learning-based fake job recruitment detection system

Abstract: In order to avoid fraudulent online job postings, we use an automated tool that uses natural language processing (NLP) and classification techniques based on machine learning are suggested on paper. Using the NLP library SpaCy in python we have performed various analyzes such as semantic, syntactic, tokenization of the task profile extracting features and using a machine learning algorithm called Random Forest we have predicted its accuracy to classify a job profile as Real or Fake.

Metallurgical characteristics of welded titanium alloys

Abstract: Titanium and Aluminium alloys are commonly used in various applications. Welding of the above-mentioned materials is of utmost importance in the engineering industry. A lot of studies have been made to understand the mechanical properties of the materials. During welding, titanium alloys absorb oxygen and nitrogen from the atmosphere easily. It has become necessary to develop unique welding procedures and techniques to control the alpha/beta phase transformations and precipitation reactions responsible for the deleterious weld properties in these materials. This article brings out the salient points concerning the metallurgical characteristics of the welded materials.

Real-time drowsiness diagnostic system using opencv algorithm

Abstract: Drowsiness or fatigue is a major cause of road accidents and has a significant impact on road safety. There are many fatal accidents that can be avoided if drowsy drivers are warned early. There are a variety of sleep detection systems available that monitor drivers' drowsiness while driving and alert drivers if they are not focused on driving. Appropriate features can be extracted from facial expressions such as yawning, eye closing, and head movement to determine the level of sleepiness. The biological condition of the drivers' body, as well as the behavior of the vehicle, are analyzed to determine if the driver is drowsy. It presents a comprehensive analysis of the available mechanisms for the driver's drowsiness and presents a detailed analysis of the most commonly used classification strategies in this regard. We divide existing strategies into three categories: behaviors, physical, and strategies based on life parameters. Second, the supervised learning methods used for sleep apnea are being reviewed. Third, the pros and cons and comparative research of different approaches is discussed. In addition, the research frameworks are detailed in the diagrams for better understanding. Because of the dangers posed by road fatigue, researchers have developed various mechanisms to detect driver drowsiness and each procedure has its own benefits and limitations. In order to make an important review of Drowsiness Detection Techniques (DDT) and appropriate classification methods, we created a search engine unit to gather relevant information. We keep our search focused on publishing reputable journals and conferences. We have developed a multi-stage selection process and testing process.

Empirical study on malaria detection using machine learning

Abstract: Malaria is the third-deadliest infection on the world. Malaria is cause 14 million more cases and 69,000 more deaths in 2020 than it did in 2019. Between 2019 and 2020, India was the only high-burden country to show progress by sustaining a reduction in malaria burden. In 2020, 29 of the 85 malaria-endemic countries accounted for 96 percent of malaria cases. India was responsible for 1.7 percent of malaria cases and 1.2 percent of deaths worldwide. The gold standard for malaria diagnosis is currently microscopic examination of blood films. It is, however, subjective, error-prone, and time-consuming. To address such issues, computational microscopic imaging methods have recently received a lot of attention in the field of digital pathology. As a result, over the last decade, researchers have focused on digital image analysis and computer vision methods for malaria diagnosis. Various contrast enhancement and segmentation methods for microscopic imaging have been discussed in this study for accurate malaria diagnosis.

Network strength comparison by region

Abstract: This paper gives an overview of Network Comparison and its Security. Security measures taken on different protocols, standards, techniques and systems are discussed in this paper. A brief introduction about the security and the protocols are also given. For visualisation, we have used Power BI for the comparison of datasets. We have compared the network speeds of airtel, Jio, Vodafone and idea. Airtel is the fastest network in India, and the number 1 network in India is Reliance Jio. Reliance Jio topped the 4G speed chart with data download rate of 20.8 megabit per second (Mbps), while Vodafone was ahead of others in upload speed at 6.5 Mbps in November, according to the latest data update of telecom regulator Trai. Jio recorded more than double the download speed of its closest competitor Vodafone. Vodafone recorded download speed of 9.8 Mbps in November, according to Trai's data updated on December 10. It was followed by Idea and Bharti Airtel with download speed of 8.8 Mbps and 8 Mbps, respectively. Although airtel is the fastest 4G network in India, majority of the people subscribe to Reliance Jio network because of its affordable and cheap data plans with long day plan validity.

Student leave portal

Abstract: The present paper is about ‘Student Leave Portal’ which is an application developed by us for our institution -National Engineering college. This is of utmost importance for any organization or college. The leave application will allow the users to apply for the leaves through the online mode by specifying a valid reason for the leave. This can also be implemented at the school and the college levels where the students can apply for the leave. The user interface must be simple and easy to understand. This system can be used to apply leave applications and their approvals online. There are features like cancellation of leave, approval of leave or rejection of leave, view tutor wards details, monthly attendance percentage, semester attendance percentage, view students leave details, forward the leave to HOD. The leave applications and the approvals are done manually. Students will be able to submit the leave form, check the status of leave requests and view completed leave history. This application can help in avoiding the leave application that needs to be given to the higher authority with great ease

Machine learning tracker for mental health approach

Abstract: One of the most pernicious consequences of COVID-19 on society is how it has impacted worldwide mental health, creating new problems and aggravating existing ones. When the few resources are geared for the pandemic, mental health issues and therapy typically take a backseat. Therefore, it's important to monitor any psychological issues before they spiral out of control. The goal of this study is to develop a machine learning-based mental health tracker that primarily focuses on cognitive mental disorders. The MMSE test, which offers a quantifiable measure of cognitive impairment and a way to track cognitive changes over time, is one of the screening methods used to make sure that issues are discovered early. Clusters are created using the K-means clustering algorithm with the potential for dementia incidence.

Anaudio denoising approach using hybrid modified fast wavelet transform method

Abstract: Noise includes all unwelcome ambient sounds. If a sound is perceived as delightful music or annoying noise, it will be perceived as having the same decibel level. The fundamental drawback of noise in an audio signal is that it degrades the signal's quality during transmission over the communication system. Real-time audio signals are gathered for the present study using a microphone. The additive white Gaussian noise of AWGN is blended with a genuine audio source. The Median, Finite Impulse Response filter with Wavelet Transform approach is a hybrid filter for denoising audio signals that incorporates the Median Filter, FIR Filter, and Wavelet Transform techniques (MFWT). In this study Peak Signal to Noise Ratio and Mean Square Error (MSE) are used to assess MFWT performance(PSNR). In terms of SNR (82.04) and RMSE score, MFWT performs better than the median filter, FIR filter, and Wavelet transform (0.055).

Sentiment analysis for depression detection

Abstract: The Covid-19 pandemic has dramatically changed the way we have used to live. The pandemic has been causing significant devastations in economy, and health, inter alia. Mental health, especially, has become a growing concern due to employment terminations, income loss, family stress and other uncertainties. The pandemic disproportionally affected mental health of younger population. Nowadays risk of early death is increasing due to mental illness which is mostly caused due to depression. Depression creates suicidal thoughts causing serious impairments in daily life. Sentiment analysis is a hot topic that’s been on research for decades, which intends to find the nature of text and classifies into positive, negative and neutral. In today’s digital world lot of data can be made available for sentiment analysis. Hence, our aim is to focus on creating a depression detection system from text, video & audio analysis. Sentiment Analysis and Natural Language Processing methods will be used to develop this system. The system will classify text, audio and video cues as positive or negative depending on the emotions inferred from user’s input.

Institutional caller application

Abstract: In today’s world, Smartphones have grown an overpowering part of everyone's living. With these smartphones, human life transformed for the better. "Institutional Caller Application" is our college management application that is aimed at handling most of the interactions between the staff of the institution. The application will give to accessthe person’s contact number and email-id makes to contact them which is also provided by our application. It alsoindicated a great interest of users in having context information visualized in the phonebook. Our application isnot meant for public use, and only authorized persons can make use of it. An only authorized users can use this application by downloading the application. The competent authorities who have permission to access the database can add, delete or modify the staff information of the departments of the institution. The authorized user can search the staff information by specifying the contact number, name of the department office/official, designations, and email-id of the particular department of the institution. This model application can make a calland send a message to the staff specified by the user. Sometimes it can also be able to call or message many people by selecting many persons using the search option. The purpose of this application is to make improvements in the education system and institutional businesses. This application helps in adding movement and computerization to maintain the institutional information. The existing system uses a website for finding a phone number to make an action like call and message to other respective members. It is a very time-consuming process. The android application simplifies this process by providing instantaneous notifications to the corresponding staff. This application makes this task easier, faster, and more secure

Ml based stock and supply regulation system

Abstract: This project can be used by shopkeepers who prefer to get benefited from new technology that will assist them in maximizing their profit via forecasting systems, stock monitoring, and demand forecasting with an add on of recommendation system. The purpose of this document is to describe the features, and interfaces to use the ML-Based Stock and Supply Regulation System and the requirements needed to develop it. It describes how the shopkeeper can take advantage of this product to empower the middleman, increase his/her profits, understand the pattern of supply and demand and increase customer relations using the ML-Based Stock and Supply Regulation System.

Minimization of weld defects in mig and tig welding

Abstract: Our project work done for minimizing the welding defects that occur during MIG welding at brake unit in Brakes India Ltd. Welding is the process of joining two similar or dissimilar metals permanently, where MIG welding uses inert gas for shielding and consumable metal for joining two metals. In Brake unit, the welding is performed for joining the web with the rim to form brake shoe. This welding should be very strong so as to resist the distortion due to shear force under dynamic condition. To eradicate frequent occurrences of defects such as blow hole, pin blow hole and start weld. Some of the TQM tools such as cause and effect diagram, Pareto chart, 4 M Methodology and why-why analysis are used to identify the root cause. Hence remedial action taken such as liner cleaning, nozzle cleaning, stopper at the machine bed and tensionner at the feeding unit, helps in reducing the rework rate from 5% to 3%.

Updates on defense and attack on distributed systems

Abstract: These days, more and more People utilize the internet to access a range of services, while many businesses employ dispersed space to provide services to clients. Distributed computing systems allow the same / different computers and workstations to function as computer hotpots. In this case, operators can have similar access to local and remote resources to run processes. Users are not warned about which PCs their processes are operating on. This can create more or less complex security issues As a result, a distributed safe environment is required in which all operations and operations can be conducted securely.In distributed systems it is very important to provide the service anytime, anywhere to customers, this requires timely management of all computer and communication services, timely allocation of resources and their proper functioning. In a distributed area environmental safety is a major concern. This paper provides security reviews of distributed systems. This begins with a study of the different distributed systems in the literature. Different systems are discussed for the most recent highlights. Finally, various aspects of the safety of distributed systems and significant research tips are explored Keywords— distributed systems, security issues, grid computing

AN OVERVIEW OF THE EXPECTED INFLUENCE OF WEB 3.0 ON e-COMMERCE AND ALLIED DOMAINS

Abstract: The Web has come a long way since the creation of the first web by Tim Berners -Lee in 1990 and Web 3.0 which is the next big thing in e-commerce, offering a more user-friendly shopping experience. Web 3.0 makes it easier for consumers to find what they're looking for and complete transactions quickly and easily. For decades, the global economy has thrived on the internet, and for the better part of that time, it has been subjected to web2.0 which is a centralized system. Presently the world is in the transition to web 3.0 which is a more decentralized system. Web 3.0 combines some of the best static and dynamic elements from Web 2.0 and Web 1.0, with an abundance of new features to deliver a user experience that's more intuitive, enjoyable, and engaging for consumers as well as more efficient and cost-effective for retailers. One of the special features of Web 3.0 is that clients themselves can customize business-related web content anytime anywhere with a highly developed web 3.0 data blockchain. Web 3.0, though it is in the development stage, promises far-reaching impacts on the way e-commerce works in the future. This review provides a brief idea of how the journey of the web has so far transitioned from web 1.0 through Web 2.0 and now onto Web 3.0, and several layers of technical innovations which are housed in the web 3.0 platform are also discussed

Crypto portfolio tracker and alert application

Abstract: The objective of the paper is to build a platform for cryptocurrency investors, who purchase cryptocurrencies on different cryptocurrency exchange platforms where the investor can create his portfolio on the platform and track the real-time profit/loss of his total portfolio balance as well as in each cryptocurrency he has invested in and can also set reminders. With this platform, he can also link his WhatsApp to get notification alerts of his portfolio balance and profit/loss in real-time. This real-time notification alert feature is implemented with Django Celery and Redis. Celery is a task queue with a focus on real-time processing, which also supports task scheduling. Redis is a message broker.

Review on integration of big data in iot agriculture system

Abstract: Agriculture is a field where many changes are accepted in order to produce a high-quality output. We know that there are several forms of irrigation, such as old irrigation, sprinkler irrigation, and drip irrigation, all of which are integrated or converted in the IOT, but there are a few things we need to modify in the irrigation, primarily crop protection and disease prevention. We can save the crop from the pest, but we must first understand the crop's power. Crop strength has recovered from the critical stage to the normal stage, but agriculture activity must be managed with precision. Different algorithms, such as Map-Reduce and Recommendation System, are available in big data. We will concentrate on crop protection in this research.

Adaptive healthcare framework to clinical patient management in government hospitals in sri lanka

Abstract: Information technology plays a major role in developed sectors within society. Providing better and more accurate information to the health information system integration aims to improve the planning and management of health care. Healthcare is the most serious aspect of our society. This research is trying to introduce an adaptive framework with user-friendly interfaces for clinical patient management to homecare and smart clinical services in government hospitals in Sri Lanka. The use of Information systems with adaptive frameworks is most popular in current society in other countries but not in Sri Lanka. Scheduling clinic timetables for the patients, providing health tips, exercise tips to the patients, and conducting remote medical camps are based on the history of medical records, drug prescriptions, and background of the patient’s health. This paper gives detailed information on the concept of adaptive healthcare and its components. This will be an innovative initiative to support clinical data in all public hospitals. Keeping this new technique of e-health, a framework for the implementation of an adaptive framework is also proposed based on the basic principles of adaptive healthcare.

Automatic multi-diseases prediction using machine learning

Abstract: Disease prediction has become one of the most difficult challenges in medicine in recent years. To eliminate the hazards connected with prediction, it is necessary to automate the process and notify the patient well in advance. The medical database is mostly made up of discrete data. As a result, making decisions using discrete data is a difficult task. Machine learning simplifies the process. The major purpose of this research is to give doctors a tool to diagnose diseases in their early stages. This model includes a user interface that allows users to anticipate ailments such as heart disease, Parkinson's disease, cancer, and diabetes. We utilized SVM and Logistic Regression for classification.