Volume 11 Issue 2

Authors- Asst. Prof.N.Ramadevi, Associate.Prof.S.Farheenissa, D.Tejaswi, I.V.Sai Charitha, M.Chandana Priya, M.Vasantha

Abstract- To gain benefits in the provision of public services, public organization managers have increased their adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the progress of this technology in the public sector, as well as the implementation and outcomes of these strategies, needs to be systematized. Artificial Intelligence (AI) technology refers to any device that senses its environment and takes steps to maximize its chances of success in some objectives. This technology includes machine learning, rule-based systems, natural language processing, and speech recognition. The research method used in this study is a Systematic Literature Review that examines artificial intelligence technology in the public sector organization. The data analysis in this study collected several keywords and selected 9 journal articles from the last 5 years. The implications of this research found that the policy and ethical implications of using AI penetrate all layers of technology implementation, and these solutions can generate value for government functions. However, it is recommended to have prior debate with the community regarding the use of AI in the public sector. It is shown that the policy and ethical implications of using AI penetrate all layers of technology implementation, and its solutions can generate value for government functions. Artificial Intelligence (AI) has the potential to significantly transform the operations of public organizations, leading to increased efficiency, accuracy, and cost savings.

Effects of Waste Glass Powder on the Geotechnical Engineering Properties Soils

Authors- M. Tech Scholar Rowoof Mushtaq, Prof. & Director Dr. Sorabh Gupta

Abstract- Nowadays, in this advanced life, a huge number of different types of waste is produced. Various types of waste such as mechanical waste, gardening waste, clinic waste, private waste and tires are turning into a real danger to nature. It turns out to be more extreme on the unlikely possibility that they are non-biodegradable materials. The building architects used many waste materials to settle the friable mud and sandy soil. Glass waste, rice husk debris, marble dust, fly debris, stone debris, bagasse debris, emergency clinic waste, destroyed tires were used in various construction trials in a strategy called soil conditioning. These waste items are truly a matter of nature in the event that they are not properly arranged. In order to save costs and reduce natural contamination, this kind of reused waste material can be used. Soil amendment is characterized as a design methodology used to improve the construction properties of dirt, as well as to reduce soil deformations, for example, settlement, development, and compressibility. Many scientists have used different types of waste in soil treatment. Sweeping land can be used for development by treating it as a treatment using modern wastes, fly ash, rice husk debris (RHA), phosphorous gypsum, quarry dust, granulated heater slag and so on with or without foil as is concrete, bitumen, lime, calcium chloride and so on. Many experts have found that fibre-reinforced soils are likely to be composite materials that improve the basic behaviour of balanced and regular soils. Vast soils with fly debris bought a huge drop in increasing dirt weight. Elastic was used with concrete to reduce the increasing weight of dirty soil. California bearing proportion and unlimited compression quality have been extended in dirty soil with jute fiber expansion. The bearing limits, dry thickness and unlimited skid quality of the muddy mud were extended when the aluminum build-up and reused black top were included. All analysts discovered a shifted performance in improving the structural properties of wide soil. One of the provoking wastes of nature is the waste of glass and it is considered a head of strong waste. The volume of global glass production was estimated at almost 130 million tons in 2005. Around 850,000 tones of glass is consumed annually in Australia, with only 350,000 tones (40%) recovered for reuse. A huge amount of unused glass is thus covered in landfills. Biodegradation of glass normally takes 450 years. Subsequently, it turns out that it is more important to reuse it as a soil amendment. The physical properties of crushed glass are that they reveal high penetrability, low tensile strength, high crushing resistance, and these properties could improve its use in geotechnical construction works for soil treatment, bank construction and so on. The test of eco-friendly asphalt squares made from waste glass, fly and debris was completed and it was found that the compression and bending quality of the asphalt square is individually expanded by 37% and half. The expansion of waste glass has brought an expansion of dry density and CBR values and a reduction in the list of versatility, optimum moisture content. Ongoing research has found that the use of lime glass fly ash powder with mud significantly affects the quality of the dirt. Further research showed that the use of glass powder with soil up to 8.5% extended the unlimited quality of compression, fixation and internal grid point. The CBR value increases to the normal 10% when 20% crushed glass is mixed with 80% clay material. Squeezed waste glass and waste plastics were mixed up to 12% with the two types of soil, and it was found that the CBR (expanded to 5%) and the grind point expanded as the additions expanded, while the plasticity of the file and joint decreased. The frictional quality of fine-grained soils improved impressively with the expansion of pressed glass and suggested that this idea could be used to improve building properties. Research has shown that a mixture consisting of 80% silty material and 20% crushed waste glass can be used in subgrade and asphalt development. In this investigation, waste glass powder has been utilized as a stabilizer to improve the properties of locally accessible cohesion less soil. The study is focused on, Improving the locally available soil using some eco-friendly and cheap by-product. Evaluation of strength characteristics of un-stabilized as well as blended soil using different proportion of glass powder. Determination of appropriate proportion of glass powder to achieve the maximum gain in strength of soil.

Plagiarism Detection Process Using AI

Authors- V. Lakshmi Chaitanya, S. Nafisa Afreen, K. Veena, P. Gayathri, S. Pavitra , M. Aparna

Abstract- Plagiarism relates to the act of taking information or ideas of someone else and demands it as your own. Basically, it reproduces the existing information in modified format. In every field of education, it becomes a serious issue. Various techniques and tools are derived these days to detect plagiarism. Various types of plagiarism are there like text matching, copy paste, grammar based method etc. This project proposes a new method implemented in a program. Here we put the concept of a machine learning techniques i.e. Longest Common Subsequence (LCS) and Five Modulus Method (FMM). This project helps us to identify whether text or image is plagiarized or not.

Face Anonymization Using Haar Cascade

Authors- Prof. R.A. Jamadar, Om Garje, Gourav Reshi, Ritik Bhat, Shreyash Ware

Abstract- After gaining knowledge of several computer vision concepts and creating our own facial detection algorithms, we were captivated by the concept of face anonymization and the ability to conceal an individual’s identity. We decided to focus our project on face obfuscation, which involves making something obscure and unclear. To achieve this, we developed an algorithm that blurs out faces and places a colored bar over the eyes to anonymize individuals. Our model can balance recognition utility and appearance anonymization by modifying various facial attributes based on practical demands, producing diverse results.

IOT Based Smart Fish Farming Aquaculture Monitoring System

Authors- V.Nagamani, M.Anil Kumar, N.Bharathi, V.Munni, E.Bhavan, M.Jyothi, P.Y. Akhila

Abstract- Internet of Things (IoT) is a very fast growing technology and the field of IoT is extending its wings in every one of the areas today. With the progression in computers like Arduino, Raspberry pi, the innovation is achieving the ground level with its application in farming and aquaculture. In this work, we have outlined and actualized monitoring of water quality of aquaculture utilizing Raspberry Pi, Arduino, various Sensors, Smartphone Camera and Android application. Water quality parameters used in this work are Temperature, pH, Electrical Conductivity and Colour. Sensor acquisition is conducted by Arduino and Raspberry Pi is used as data processing device as well as server. Photo acquisition is also performed by Raspberry Pi with the help of the Smartphone camera to detect the colour of the water. Android phone is used as the terminal device. A user can monitor the water condition using an android app through Wi-Fi within Wi-Fi range and through Internet from anywhere in the world. Some analysis is performed with the four parameters value to determine the overall approximate condition of the water and required action. Every feature in this checking gadget can work legitimately and easily.

Livestock Monitoring System

Authors- Hansa Chowdary Vemuri

Abstract- – The Livestock monitoring system has become an essential part of modern animal husbandry. This system aims to improve the health, productivity, and overall well-being of the animals. With the advancement of technology, the implementation of this system has become more efficient and cost-effective. Arduino programming has played a significant role in this regard, enabling farmers to monitor their livestock remotely.Arduino is an open-source electronics platform that enables the creation of interactive projects, including Livestock monitoring systems. It consists of a microcontroller, which can be programmed to control various sensors and devices. Arduino programming allows farmers to monitor various parameters such as temperature, humidity, and activity levels of livestock in real-time.In this Livestock monitoring system, Arduino is used to control and collect data from various sensors, such as temperature sensors, humidity sensors, and motion sensors. The collected data is then transmitted to a remote server or cloud platform via Wi-Fi or GSM network. The server processes this data and provides farmers with alerts and notifications if any abnormalities are detected.Arduino programming also allows farmers to control devices remotely, such as fans, water pumps, and feeders, which can be crucial in maintaining a comfortable and healthy environment for livestock. For instance, if the temperature in the livestock shelter goes above a certain threshold, the Arduino can turn on the fans automatically to bring down the temperature.The Livestock monitoring system can significantly improve the productivity and health of the animals, reducing the risk of diseases and increasing yield. Additionally, it also allows farmers to save time and money by reducing manual labor, optimizing resource utilization, and preventing losses due to unfavourable environmental conditions.In conclusion, Arduino programming is an effective tool for implementing Livestock monitoring systems. It enables farmers to monitor various parameters remotely, control devices, and improve the productivity and health of the animals. The implementation of this system can benefit farmers by increasing their efficiency, profitability, and sustainability.

Development of A LPG Monitoring and Automatic Cylinder Booking System Based on Wireless Sensor Network

Authors- Byreddy Yashaswini, Regati Rajitha, Maadineni Gowthami, Ejje Dhakshayani, Nandyala Vinnila Reddy, Asst. Prof. N. Sreenivasa Rao

Abstract- – LPG is widely used for cooking in many countries for economic reasons, for convenience or because it is the preferred fuel source. This paper focuses on the application of the IoT which is used for measuring and displaying the gasoline content present in household LPG cylinder and this is helpful in automatic booking of new LPG cylinder and also detect the gas leakage. Usually the capacity of LPG in Cylinder is not determined, so we are going to display the level of LPG. The level of LPG is measured using load sensor (SEN-10245). The output of the sensor is connected with Arduino R3.By use of GSM Module, the information is sent to user by SMS (short messaging service) and also automatic booking is done by dialing the registered gas booking number. Then the gas leakage is detected by gas sensor (MQ-6). By using this, we can detect the current LPG level and it is continuously displayed on the LCD. We can know the validity of LPG usage from the date of initialization. By use of IOT the user is alerted by giving the message to their mobile phone when the LPG level is critically low(below 20%).Automatic booking of new LPG by auto dialing of gas booking number and by this we prevent pre-booking and late booking. Then by detecting the gas leakage we can prevent the LPG gas burst accidents in the home.

Deep Learning and RBF Hybrid Models for Flower Image Recognition

Authors- Pham Quoc Thang, Hoang Thi Lam

Abstract- – Image object recognition is easy for humans, but a complicated problem for machines. The purpose of flower image recognition is to determine the suitable flower species for the input image, based on the features. In recent years, deep learning (DL) models have been widely and successfully applied in many fields. In this paper, we propose and study the feasibility and effectiveness of general CNN-RBF hybrid models for flower image recognition problem. The experimental results on two flower image datasets, Oxford-17 and Oxford-102 flowers, show that the CNN-RBF hybrid models in general, especially the CNN- SVM hybrid model, give better recognition results than original CNN model and can be applied to effectively classify flower images.

Smart Agriculture Irrigation System

Authors- Pradnya V Bojja, Shubham A Gaike, Nitin S Dahatonde, Rushikesh D Sabale, Mr. S.S. Londhe

Abstract- – There is global consensus on food security challenges and increasing crop production to meet the demand across globe, especially in African countries and some parts of Asia and Europe as well. Population
growth, increasing water stress and climatic variability, stresses on finding ways of getting more crop per drop to meet our food needs. All these factors increased pressure on natural resources, particularly water and land that leads to complex challenge with land-water-energy which cannot be achieved with traditional approaches and thus needs a multi-dimensional approach. Save energy, manpower and most importantly water to improve the crop production and ultimately profit.

Crushed Stone Garments Wash on Denim & Knit Fabric to Ensure Sustainability Focus on Shade Variation and Visual Appearance

Authors- Engr. Md. Eanamul Haque Nizam,Md. Reyad Sarker,Md. Shihab Uddin, Md. Moniruzzaman, Arif

Abstract- – The purpose of this study is to reuse the crushed stone in a garment washing factory to conform to future sustainability by viewing the shade variation and visual appearance of the garment sample. Among 10 grades of crushed stone, the research team has taken three types (2, 3, and 5) to see the results. For testing purposes, six types of denim and knit fabric have been used in the factory lab. After washing the sample denim fabrics (woven and knit denim), a shade variation test (CMC DE, DL*, Da*, Db*, DC*, DH*, and Metamarism Index) was conducted in the factory to see the results. There are three woven denim samples that have passed the buyer standard, and other types of garments woven denim samples failed because of crushed stone size. On the other hand, most of the knit denim samples have passed the metamorphism index value, which meets the ISO standard.

Analysis and Design of G+26 Multistoried Earthquake Resistant Building in Zone 4

Authors- M.Tech. Scholar Shyam Kumar, Prof. Imran Ahmad Faizy

Abstract- – This research was carried out with an objective to determine the design loads of a G+26 multistoried building structure which is an earthquake resistant structure in Zone 4. The purpose of this investigation is to determine the design loads for a structure that will be subjected to seismic loads in a specific area. In this study, the response spectrum analysis was applied to a G+26-story building with the help of the programme STAD PRO V8i. Joint motion, axial forces, time, and mass were all measured and analysed. The dynamic analysis is performed with the aid of the design response spectrum curve proposed by the IS: 1893 Part-1 for seismic design. As the modal mass participation factor for the investigated building is greater than 75%, it was determined that the building is stiff for earthquake excitation. As the earthquake motion was applied in the X-direction, we see a greater X-direction joint displacement compared to what we expect.

Detecting Brain Tumors from MR Images Using Deep Transfer Learning-Based Models

Authors- Rahimunnisa K, Kaviya P, Paveethra K

Abstract- – The treatment of seizures, peritumoral edema, adverse reactions to drugs, venous thromboembolism (VTE), weariness, and mental retardation are among the most prevalent medical issues in patients with brain tumors. There aren’t numerous investigations that expressly tackle these areas of concern, considering how significant they are. A growing body of research shows that prophylactic antiepileptic drugs are ineffective in treating brain tumor patients who have not yet experienced a seizure. Due to a greater likelihood of contracting Pneumocyst is jerovecii pneumonia, patients using corticosteroids may benefit from preventative medication. Additionally, there is increasing proof that suggests anticoagulation could be better compared with inferior vena cava (IVC) purification equipment during treatment of VTE in patients with brain tumors, because the possibility of bleeding from anticoagulation is comparatively low. Heparin with a low molecular weight might prove safer rather than Coumadin. The use of drugs like donepezil and memantine can be advantageous in treating cognitive impairment, whereas drugs like modafinil and methylphenidate have become more used for the management of weariness.

Sentiment Analysis of Twitter Data On Hindi
Language

Authors- Ms. Madhuri B.Thorat, Sanket Bhadale, Santosh Biradar,Mansur Mujawar,Faizan Pathan

Abstract- – The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis is the process of gathering and analyzing people’s opinions, thoughts, and impressions regarding various topics, products, subjects, and services. The goal of tweet sentiment analysis is to find the positive, negative, or neutral sentiment part in the tweeter data. Sentiment analysis can help any organization to find people’s opinions of their company and products. We have applied sentiment analysis on the twitter data set. However, the sentiment analysis for Twitter data and evaluation procedures face numerous challenges. These challenges create impediments to accurately interpreting sentiment polarity. Sentiment analysis identifies and extracts subjective information from the text using natural language processing and text mining. Our model takes input tweets, sentiment, and output selected text and examined it in order to define future directions.

A Review On Human Activity Recognition Based On I-O-T And Deep Learning Approaches

Authors- Veena Shende, Akanksha Meshram

Abstract- – Human Activity Recognition (HAR) has been treated as a typical classification problem in computer vision and pattern recognition, to recognize various human activities. HAR is mostly dominated by vision-based approaches that typically focus on action recognition using monocular RGB videos, which make it hard to comprehensively represent actions in 3D space. With the rapid development of low-cost 3D data capture devices like Kinect and Asus Xtion Pro Live cameras. Human activities play a significant role with respect to activities related to environment, aquatic life, I-O-T (Internet Of Things) etc.

Leave Management System for ACE Faculty

Authors- Mr. Akshay Ghuge, Ms. Sakshi Lambat

Abstract- – In the existing Leave Management System, every college follows manual procedure. At the end of each month, administration department calculates leaves of every faculties that why that is time taking process and there are chances of losing data or errors in the leave register. Leave Management System for ACE is a web base system which can be accessed all over the college. This system for managing leaves related information of faculty’s approval of leaves from the principal and head of department. The principal and head of department have permission to verify the leave request of their faculties. After verifying the leave application of faculties, the principal and HOD will give remark like approved and rejected.

Classification of Non-Traditional Maritime Security Threats and Challenges with the Indian and International Legal Framework

Authors- Shivam Kumar Pandey

Abstract- – Maritime security means the safety of the seas and lakes, as well as the safety of the country as a whole. Today, there are a lot of crimes around the sea that need to be fixed. These are the most recent problems that affect how countries get along with each other. Around this area, there needs to be strong security risks. This area has become one of the most important places for trade and energy in the world. The area around the Indian Ocean has many old and new safety and security problems, such as pirates, robberies, terrorism, drug trafficking, illegal wildlife trade, illegal arms trade, fishing, climate change, etc. Because of this, the security of the Indian Ocean needs to be protected from the rising number of crimes, and strict laws should be put into place in this area. Further these issues have been seen in India which needs to make their maritime laws to govern such issues effectively. The researcher conducts doctrinal research. The objective is to analyze the maritime security both at national and international frameworks. Lastly the researcher provides conclusion.

Blockchain Based E-Voting System

Authors- Sakshi Vajre, Ashlesha Gomase, Megha Puram, Sakshi Vinchurkar

Abstract- – Voting is the fundamental right for every nation. An Electronic Voting (E-Voting) system is a voting system in which the election process is notated, saved, stored, and processed digitally, which makes the voting management task better than the traditional paper based method. Blockchain is a decentralized, distributed, public ledger that exists across the network. Blockchain-enabled E-voting (BEV) could reduce voter fraud and increase voter access. In this paper, the concept of developing an electronic voting system using blockchain technology is implemented. The two-level architecture provides a secure voting process without redundancy of existing (not based on blockchain) systems. The blockchain-based voting project has two modules to make the whole project integrated and work along. One will be the Election Commission who will be responsible for creating elections, adding registered parties and candidates contesting for the election added under the smart contracts. The other end will be the voter’s module where each individual can cast a vote for their respective Assembly Constituency and the vote will be registered on the blockchain to make it tamper proof.

Performance Analysis of DSDV and DSR Using NS-2 and Vi Sim Simulators

Authors- Assistant Prof. Dr. Md. Asif Hossain

Abstract- – As a new generation of wireless communication technology, mobile ad hoc network (MANET) has made tremendous advancements over the past decade. It is extensively employed in military action, on-demand operations, and other disaster relief activities and is characterized by high mobility, dynamic topology, self-organizing, and other distinctive qualities. Routing and security issues are just two examples of the problems that might arise since MANET lacks a centralized infrastructure, and the devices can roam randomly. Without a doubt, soon, we will be able to see the deployment of ad-hoc networks everywhere. Therefore, the routing issue is taken into consideration in this paper. The Destination Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols are two well-known routing protocols that are the topics of this paper. The NS2 and ViSim simulators have been used to evaluate the performance of these two protocols.

“Blood India Connect” – App for Connecting Donors and Patient using Twilio Communication API Tools

Authors- Venkatesan Palaniappan, Omar Mohamed Osman Ahmed, Mithun Sivakumar, Ph.D Ms.S.Sujina

Abstract- – India requires 5 crore units of blood each year but barely receives 2.5 units. Every two seconds, someone needs blood. Every day, more than 38,000 blood donations are required. The number of posts on social media platforms like Facebook and Twitter asking for blood donations has steadily increased along with the rapid growth in social Media usage throughout the world. Finding a blood donor is a difficult task in every country. Many individuals throughout the world are interested in donating blood when there is a need, but those donors may not have access to information on blood donation demands in their local area, to overcome this difficulty there are various blood donor finding applications on the market, such as the Red Cross Blood, Neologix and UBlood. However, more dependable applications that satisfy the expectations of consumers are encouraged. All of these applications will notify the specific donor when blood is required, but the major drawback is that these applications will give notification only if we use that particular application. To address this issue in the aforementioned applications, we created an application that will send the blood request message to that specific donor via WhatsApp / text message with the Google Map’s location of the hospital where the patient is admitted. Clinics can use this application to make requests whenever a patient is in need.

Bibliometric Analysis of Top Cited Article in Magnesium Alloy/ AZ91E Mg Alloy from Dimensions

Authors- A Smitha Kranthi, Anil Kumar Matta,Dhanvi Matta

Abstract- – In this survey, top cited article is identified in Magnesium Alloy/ AZ91E Mg alloy from Dimensions data base (2014-2023). Top cited article is defined as the article which is cited more number of times than other articles since 2014. Results showed that 1264 publications with research categories Engineering (1128), materials engineering (785), manufacturing engineering (161), chemical sciences (93) and biomedical engineering (67) were published in the journal’s list UGC journal’s list Group II, ERA 2023, ERA 2018, ERA 2015, Norwegian register level 2, DOAJ, PubMed, J-STAGE between 2014 to 2023. “Magnesium Alloy or AZ91E Mg alloy” is the key word used to obtain the highest authored paper with 1463 citations.

The Transformative Power Of Block chain Technology And Its Application To Voting and Cyber Security

Authors- Abhilash Gaddam

Abstract- – Many have looked to block chain technology as a way to make online voting more trustworthy and open. Electronic voting systems may avoid manipulation and fraud, make voting more anonymous, and boost confidence in the election process by using blockchain technology’s decentralization, immutability, and transparency. Electronic voting solutions built on the blockchain also have the potential to cut down on the time and money needed for conventional voting procedures. The reliance on centralized organizations in traditional voting processes might leave them open to vulnerabilities like election fraud or results manipulation. Blockchain technology’s intrinsic decentralization and immutability provide a potential remedy to the problems associated with conventional and alternative electronic voting methods. An immutable and open platform for electronic voting may be built using blockchain technology. By combining cryptographic methods with consensus protocols, blockchain-based electronic voting systems provide voting processes that are safe, verifiable, and auditable. To develop a successful voting mechanism, this study tries to make use of blockchain’s cryptographic underpinnings and transparency. The suggested technique accomplishes end-to-end verifiability and complies with the basic criteria for electronic voting systems. This paper lays out the specifics of the proposed electronic voting system and how it would be implemented on the Multichain platform. To establish an end-to-end verifiable e-voting method, the article offers an in-depth review of the technique, which effectively confirms its efficacy.

DOI: /10.61463/ijset.vol.11.issue2.315

Performance Analysis of Hybrid Composite Helmet Mechanism

Authors- Assistant Professor Mr.M.Maniyarasan, K.Jeeva, N.Jeeva, M.Kathiravan, D.Lingeshwaran

Abstract- – Hybrid composite helmet technologies are now a crucial factor in the creation of household goods and accessories for automobiles. A natural fibre hybrid composite helmet has been developed using materials like banana fibre, coconut coir, luffa fibre, etc., largely for safety purposes. These natural fibres have low costs, a low density, and excellent particular qualities. These are non-abrasive and biodegradable. Due to its unique mechanical characteristics, fibre reinforced materials are now being used more frequently in all technical fields (including automotive, industrial, and medical). Banana, coconut, and luffa fibre are employed as fibre reinforcements in this project. Epoxy resin makes up 62% of the laminates’ weight (616g), along with 7% of hardener(60g), luffa fibre accounts for 15% of the weight (130g), coconut coir for 3% (20g), banana fibre for 5% (44g), and coconut fibre for 10% (70g) and carrying out the penetration test, flammability test, and shock absorption test. In the present work, the epoxy composite based industrial safety helmet has been designed by CATIA V5 software.

DOI: /10.61463/ijset.vol.11.issue2.384

Performance Evaluation of Cyclone Separator

Authors -Assistant Professor Mr.S.Ravi, A. Ajayprasath, S. Arun, A. Balamurugan

Abstract- — In India vast and diverse industrials in future and high demand for cleaning process is increases. Each year, thousands of tons row material or waste material use for recycling or purifier in India. Food, mineral water pure gas or air in mixture of some chemical or dust particle. Food or pharma industry maximum cost spends for cleaning process. Many cleanings process available but this mechanical device very costly therefore to replace the less cost effect and performance of remove dust particle is very efficient. Cyclones have often been regarded as low-efficiency collectors. However, efficiency varies greatly with particle size and cyclone design. Advanced design work has greatly improved cyclone performance. This project have discussed the design parameters required to construct a high performing cyclone through the application of the classical cyclone design, However, the pressure drop in this design does not consider any vertical dimensions as contributing to pressure drop, This is a misleading in that a tall cyclone would have the same pressure drop as a short one as long as cyclone inlets and outlets dimensions and inlet velocities are the same. The cyclone design model was used to obtain an accurate pressure drop and sizing of cyclone, The cyclone approach to design cyclones was to initially determine optimum inlet velocities for different cyclone designs, hence using the inlets velocity a cyclone dimension can be determined.

DOI: /10.61463/ijset.vol.11.issue2.385

Impact of M Sand and Olivine Sand in Assessment of Mechanical Properties of Geo Polymer Concrete at High Temperature

Authors -Kavipriya S, Muthu S, Riyaz S, Sathya J

Abstract- — Geopolymer Concrete is a type of concrete that is made by reacting aluminate and silicate bearing materials with a caustic activator. Commonly, waste materials such as fly ash or slag from iron and metal production are used, which helps lead to a cleaner environment. This is because the waste material is actually encapsulated within the concrete and it also does not have to be disposed of as it is being used. This paper focuses on varying the proportions of M sand and Olivine sand (50:50, 60:40, 70:30) in geopolymer concrete and evaluating its strength characteristics at extreme temperature by adding fibres at different proportions with 0.2%,0.4%,0.6%,0.8%,1.0%. The alkaline activator solution used is a mixture of 10 molar Sodium hydroxide and Sodium silicate in the ratio 1:2. The specimens are cured using oven at 60°C.The mechanical strength properties such as compressive strength, split tensile strength and flexural strength tests are conducted at its 28 day. The test results revealed that very high early age strength was achieved in all the proportions, noticeably in 70:30 proportions with 0.8% addition of fibres.

DOI: /10.61463/ijset.vol.11.issue2.386

Smart Predictive Models for Enhancing Cardiac Health Outcomes Using Deep Learning Techniques

Authors -Mr. R. V. Viswanathan, R. Siva Harish, K. S. Rajesh, R. Dhanush

Abstract- – In The heart is one of the most important parts of the human body because it is the system’s nerve center. Heart disease is one of the most dangerous and life-threatening diseases that can lead to death or a disabling condition for the rest of a person’s life. However, there are not many effective ways to discover the hidden trends and relationships in the e-health data. This is because medical diagnosis is a critical process that has to be done correctly in order to save lives. To reduce the overall cost of performing the clinical tests, it is crucial to develop and implement a suitable and accurate computer-based automated decision support system. The use of health analytics in an attempt to perform proper analysis of patient data has been proposed. The healthcare industry data is being examined. The medical sector is able to develop smart models by sets of patient risk factors using data mining techniques. The development of the use of data has been a surprise to Knowledge Discovery in Databases (KDD). This project provides a glimpse of the Machine Learning and Deep Learning approaches that are used in the diagnosis of diseases. There are many data mining classifiers that have been discussed in the last year for quick and accurate illness diagnosis. The heart disease prediction system proposed in this project uses deep learning techniques, more especially Multi-Layer Perceptron (MLP), to predict the likelihood of the patient developing heart-related complications. MLP, a very efficient classification method, employs the Deep Learning technique from Artificial Neural Networks. The proposed model returns accurate results with minimum error by combining deep learning and data mining.

DOI: /10.61463/ijset.vol.11.issue2.387

Design and Implementation of Controller for Effective Seed Sowing and Counting Machine

Authors -Dr.T.Sengolrajan, S.Jawahar, P.Jeevarathinam, G.Praveen

Abstract- – In the farming process, often used conventional seeding operation takes more time and more labor. The seed feed rate is more but the time required for the total operation is more and the total cost is increased due to labor, hiring of equipment. Design and implementation of controller for effective seed sowing and counting machine employs the latest IoT technology to automate the manual seed counting making it easier and faster. The machine integrates sensors and microcontrollers to monitor and control the seeding process in real-time, while also providing data on the number of seeds sewn. The data is transmitted wirelessly to a remote monitoring device, allowing farmers to monitor and manage their crops from anywhere, at any time. This design is very cost effective and reduce the cost of farming. The automatic seed sewing and counting machine is a promising solution to help farmers increase their accuracy and crop yields, while also reducing the risk of manual errors and labor costslife.

DOI: /10.61463/ijset.vol.11.issue2.388

Ml Based Farming System – Casava Leaf Disease Detection

Authors -Assistant Professor J. Sunanthini, J. J. Charles Lifrin Packiyam

Abstract- – The ML-based farming system for cassava leaf dis- ease detection proposes a solution to automate the identification and diagnosis of diseases affecting cassava plants. This system leverages machine learning (ML) techniques to analyse images of cassava leaves and accurately classify them into healthy or diseased categories. The proposed system employs convolutional neural networks (CNNs), a type of deep learning architecture, for robust and efficient leaf disease detection. A dataset of la- belled cassava leaf images, comprising both healthy and diseased samples, is collected and used for model training. The CNN model is trained on this dataset to learn the visual patterns and features associated with different cassava leaf diseases. During the inference phase, new images of cassava leaves are fed into the trained CNN model, which predicts the presence or absence of diseases. The ML-based system provides a quick and reliable assessment of the leaf health status, allowing farmers to take proactive measures such as targeted treatments or removal of diseased plants to prevent further spread. The proposed system offers several advantages over traditional manual diagnosis methods. It eliminates the need for human experts, reducing the time and expertise required for disease identification. Additionally, the ML model can handle large volumes of data, making it scalable for real-time monitoring of large- scale cassava farms. The ML-based farming system for cassava leaf disease detection has the potential to significantly improve the efficiency and productivity of cassava farming. By enabling early disease detection and intervention, farmers can implement appropriate disease management strategies, minimize yield losses, and optimize crop health. Overall, the ML-based farming system offers a reliable and cost-effective solution for cassava leaf disease detection, empowering farmers with timely and accurate information to make informed decisions and safeguard their crop health.

DOI: /10.61463/ijset.vol.11.issue2.389

Advanced and Secure Bio-Metric Voting System

Authors -Assistant Professor Mrs.V.Subitha, V. Pravinsha, T .Rajitha Roja, T.V. Vibitha, A.S Priya Dharshini

Abstract- – This project proposes finger print voting system with Arduino. The main objective of this project is to design and develop biometric based voting machine using Aadhar authentication. The current voting process has safety problems such as authenticity of voters. The main objective is to enhance the security in order to prevent duplication and provide a system which reduces the burden for people on conducting a voting. In this project we used fingerprint for authentication, and for fingerprint authentication we use Aadhar card database. Now a day’s everybody has Aadhar card with unique Aadhar number hence it is highly secures compare to current existing system. Fingerprint is one of the unique identities of a human being which is being used in the Aadhar system. Thus, by implementing this system, user can put their vote with fingerprint instead of paper without doubting about their security. Voting Using Fingerprint reduce the polling time, it provides easy and accurate counting without human. In this proposed system, we get the details of voter from AADHAR CARD database. Fingerprint module is automated method of verifying a matching fingerprint and it can provide a security. The voter at the polling booth has to show his Finger and scan his finger on fingerprintmodule. Fingerprint module scan his/her fingerprint and send to controller for matching scan fingerprint with stored AADHAR CARD database. If the fingerprint match with already stored voter AADHAR CARD database, then he/she is valid for polling sections and voter is allowed to pull his/her vote. If not, message is displayed on LCD and the voter is not allowed to poll his/her vote. If any voter comes to vote for the second time the buzzer makes a sound thus avoiding fake voting.

DOI: /10.61463/ijset.vol.11.issue2.390

Ml Based Farming System – Casava Leaf Disease Detection

Authors -Assistant Professor J. Sunanthini, J. J. Charles Lifrin Packiyam

Abstract- – The ML-based farming system for cassava leaf dis- ease detection proposes a solution to automate the identification and diagnosis of diseases affecting cassava plants. This system leverages machine learning (ML) techniques to analyse images of cassava leaves and accurately classify them into healthy or diseased categories. The proposed system employs convolutional neural networks (CNNs), a type of deep learning architecture, for robust and efficient leaf disease detection. A dataset of la- belled cassava leaf images, comprising both healthy and diseased samples, is collected and used for model training. The CNN model is trained on this dataset to learn the visual patterns and features associated with different cassava leaf diseases. During the inference phase, new images of cassava leaves are fed into the trained CNN model, which predicts the presence or absence of diseases. The ML-based system provides a quick and reliable assessment of the leaf health status, allowing farmers to take proactive measures such as targeted treatments or removal of diseased plants to prevent further spread. The proposed system offers several advantages over traditional manual diagnosis methods. It eliminates the need for human experts, reducing the time and expertise required for disease identification. Additionally, the ML model can handle large volumes of data, making it scalable for real-time monitoring of large- scale cassava farms. The ML-based farming system for cassava leaf disease detection has the potential to significantly improve the efficiency and productivity of cassava farming. By enabling early disease detection and intervention, farmers can implement appropriate disease management strategies, minimize yield losses, and optimize crop health. Overall, the ML-based farming system offers a reliable and cost-effective solution for cassava leaf disease detection, empowering farmers with timely and accurate information to make informed decisions and safeguard their crop health.

DOI: /10.61463/ijset.vol.11.issue2.391

Household Services Provider System

Authors -Associate Professor Dr.A.Selva Reegan, D.L.Ajai Inith, N.Braian Gibson, M.S.Goutham, K.Sakthivel

Abstract- – In present scenario, people are buried up in a heavy work culture, as everyone is engaged with busy schedules, and hectic tasks which make them deviate from family life. If any issues encounter unexpectedly, it distracts them and makes them choose over the work they have to accomplish primarily. Dealing with household services like plumbing, carpentry, electricity, etc. is major problem in the urban areas where people are busy in their daily activities. It is also difficult because of non-availability of service-providers around a certain region/ area or locality. So, in such a situation developing a web app is very useful which can provide all the basic household services at fingertip. Giving a thought to that aspect of life is to design and develop a system that provides many services at your doorstep in just one click. A system that provides variety of services like plumbing, electrician, IT repair and many more. The web home service project consists of many categories and services as mentioned before. Users who are in need of services can register with this website and look for service providers. There are two users in our system, first is home service providers and therefore the other may be a user. home service providers have a crucial role within the project he/she can register with this website by mentioning their role. By this users can easily avail the needed home services with none difficulty and delay. When someone requires assistance for domestic tasks, the problem occurs due to inaccessibility of service skilled or a trustworthy provider who provides faultless service on request. Our on demand home service system affords the foremost convenient unrestricted approach to urge your household work finished. This technique helps in providing finest results to all or any domestic troubles with high efficacy and ease. The system helps in connecting the skilful in-house experts and gets service done on quickly. On demand home service system aids not only the users but also the service providers to succeed in out the potential customers.

DOI: /10.61463/ijset.vol.11.issue2.392

Flight Fare Prediction App with Deployment Machine Learning

Authors -Assistant Professor Mr.C.Bastin Rogers, Sujin .T, Aron Herso.S, Sabin .M

Abstract- – The development of a flight fare prediction web application with deployment and machine learning encompasses a comprehensive process. This involves acquiring historical flight data, performing data preprocessing and feature engineering, selecting an appropriate regression algorithm, and training the model using split data sets. The implementation includes develop- ing a web application through frameworks like Flask or Django, creating an intuitive user interface for inputting flight details, and deploying the trained model as an API or web service on cloud platforms such as AWS or GCP. The integration of the web application with the model API enables predictions based on user inputs. The process concludes with thorough testing and debugging to ensure functionality, deployment to a production environment, and ongoing monitoring, maintenance, and updates as required.

DOI: /10.61463/ijset.vol.11.issue2.393

Mechanical Property Evaluation of Modified Bricks for Green Building Application

Authors -P. Vijayan, Nishanth V, Abilash. V A, Santosh M, Nikesh M

Abstract- – This study investigates the mechanical performance and sustainability of modified clay bricks incorporating waste glass powder (WGP) and various agro-industrial byproducts, targeting their application in green building construction. Motivated by the growing demand for sustainable construction materials, the research evaluates the compressive and flexural strength, water absorption, and durability of bricks infused with different waste materials such as cocoa shells, sugarcane bagasse, and rice husk ash. The optimal WGP content of 20% resulted in a 25% increase in compressive strength and a 41% improvement in modulus of rupture, while maintaining water absorption levels comparable to traditional bricks. Microstructural analyses using SEM and XRD reveal enhanced bonding and reduced porosity in modified bricks. The study also explores the environmental and economic benefits of utilizing recycled crushed clay bricks (RCB) in pavement construction and evaluates their performance in cement-stabilized macadam (CSM). The integration of waste materials not only reduces reliance on virgin clay but also offers substantial reductions in energy consumption and CO₂ emissions. The findings affirm that modified bricks with waste additives provide a viable solution for sustainable infrastructure, aligning with global green building initiatives.

DOI: /10.61463/ijset.vol.11.issue2.394

Investigation of Mechanical and Morphological Properties of PVC Coated Nylon Hybrid Composites for Structural Applications

Authors -E. Bravin Daniel, Aaron.C, Akash R, Infant Jeen U B, Navis Shiju Antony

Abstract- – This study explores the mechanical and morphological behavior of PVC-coated nylon hybrid composites with a focus on their suitability for structural applications. Hybrid composites combining natural and synthetic fibers offer a sustainable alternative with enhanced mechanical and thermal properties. In this research, waste nylon fibers were reinforced into a PVC matrix, alongside calcium carbonate fillers and surface modifiers, to improve strength, stiffness, and water resistance. Various fabrication techniques, including vacuum infusion and compression molding, were employed to ensure uniform fiber dispersion and strong interfacial bonding. Mechanical properties such as tensile, flexural, and impact strength were evaluated, along with thermal stability via TGA and DSC, and viscoelastic properties using DMA. SEM and TEM analyses were used to assess the microstructure and dispersion of fillers. The results indicate that the optimized hybrid composite demonstrates improved mechanical performance, reduced water absorption, and enhanced durability. These characteristics make the material a viable choice for automotive, construction, and aerospace structural applications.

DOI: /10.61463/ijset.vol.11.issue2.395