VOLUME 9, ISSUE 11, NOVEMBER 2022

Abstract: Composite materials are the most promising. In comparison to current conventional materials, carbon fibre reinforced composites (CFRC) offer substantial advantages to the aerospace sector. As the market's demand for lightweight, high-strength materials for specific applications develops, composites reinforced with artificial or natural fibres are becoming ever more common. In the current work, a composite material made of carbon fibre reinforced polymer matrix is being created for use in wind turbine blade application. The composites are made by hand using a lay-up approach at room temperature. When a steady force is exerted parallel to the surfaces of the tape and substrate, shear tests are used to assess an adhesive tape's endurance to creep. The following results are drawn from this experimental study of the shear stress behaviour of carbon fibre reinforced epoxy matrix composites. The ultimate shear strength improved by the addition of carbon fibre material. In case of specimen 1, the failure stress was observed to be 30.71 MPa and displacement was found to be 4.25 mm. In case of specimen 2, the failure stress was observed to be 36.95 MPa and displacement was found to be 7.81 mm. Between the two specimens, the largest deviation in failure stress is found to be 20.31%.

Keywords: Composite Material, Shear stress, Wind turbine, CFRP.

Abstract: Mobile phones are everywhere, and they hold a lot of information about the owner and their activities. As a result of the widespread adoption of these devices into every aspect of our lives, they will/mostly be involved in almost any crime that occurs/could occur. The aim of the digital forensics of mobiles is to recover potential digital evidence in a forensic manner so that it can be presented and accepted in court. There are various methods to acquire the evidence from mobile phones. In this report, complete information about two data acquisition tools, Andriller and AF Logical is represented.

Keywords: data acquisition, andriller, aflogical, forensic tools

Abstract: Adsorption using low cost biocarbon prepared from Tridax procumbens has many advantages over other methods for heavy metals removal. Effect of pH, metal ion concentration, adsorbent portion and temperature on adsorption limit and percentage removal of cadmium from aqueous solutions using minimal effort adsorbents has been displayed in this paper.

Keywords: Cadmium, biocarbon, Tridax procumbens, Contact time.

Abstract: Lakes of urban regions contribute greatly towards ecological protected zones and true indicators for urban developmental strategies and its sustainability. Mysuru is the second biggest city in Karnataka blessed with dozens of lakes and attracts varieties of migratory birds, water fowls with lush green and being tourist destinations. The city is one of the tier II in the state and is a hub of industrial activities due to salubrious climate and availability of natural resources. Mysuru is known for its memorable annual Dasara celebrations which is an unforgettable events in the History of Karnataka. The notable waterbodies are Karanji, Kukkarahalli, Lingambudhi, Dalvoy and Devanoor lakes. Most of the streams belong to first order and few belong to second and third order. The study area portray decent greenery shelter and lakes enhances the beauty of the heritage city and also improved the groundwater table. Mysuru had over 30 lakes few decades ago, but at present only few lakes are surviving. During Maharaja's rule of 19th century, most of the lakes were built to fulfil the purpose of water supply for domestic, industries, irrigation and other works through urban runoff and rainwater as main sources. The present study aims in the mapping of spatio-temporal detection of Mysuru lakes through manual and digital extraction of data in GIS environment. An attempt have made to analyze the changes of lakes coverage area using SoI toposheet, LISS-III, Sentinel-2A and Google Earth image by adopting Visual Image Interpretation Techniques (VIIT) through Erdas Imagine software. This study demonstrates the change detection and deterioration of lakes in Mysuru city due to human pressures and for future implementation strategies.

Keywords: Lakes; Change Detection; Mysuru; Geospatial technology.

Abstract: Implementing dimethyl ether in order to blend in LPG has led to remarkable profits. The present work focuses on the simulation of the synthesis of dimethyl ether from methanol using Honeywell's UniSim Design R490. Dimethyl ether is considered a green energy source as an additive for diesel fuel. This is preferred for the next clean energy production, and dimethyl ether is chosen because its demand is increasing due to its remarkable properties. The indirect method of producing methanol and using it as a raw material for the synthesis of DME is quite useful for large commercial production. However, current work will demonstrate methanol as a feed and dimethyl ether as an end product. Shell and tube heat exchanger at different operation conditions show that important calculated LMTD and minimum approach values are feasible for good heat transfer while minimizing power consumption.

Keywords: Dimethyl Ether, Methanol, Process Simulation, Shell and Tube Heat Exchanger, Heat Integration, Process Simulation Software, Honeywell UniSim Design

Abstract: The fast growth of fake news on social media platforms raises a lot of concerns and has become a challenging task that has an impact on people on a global scale. This fake news is intended to deceive and manipulate its readers, while its main aim was to create awareness among its readers. Due to the emerge of such misleading information researchers, governments, journalists and fact-checking volunteers are working as a team together to address this issue. The automatic fake news detection systems enable identification of deceptive news with low accuracy. Hence designing a Fake news detector that has accuracy and precession is the goal. Sentiment evaluation and opinion mining is the sector that looks and analyses people's opinions the sentiments attached to it and evaluated it, the attitudes and feelings it poses from the written language. It is one of the most active research areas of NLP and text mining in recent years. It's mainly in demand because opinions are central and the reason for all the activities we perform and decisions we take reasons. Sentimental analysis helps us determine how the persons wellbeing has changed over a period of time and how the decisions taken have evolved from the changes in the surroundings

Keywords: ML, logistic regression, stemming, fake news detection, sentimental analysis

Abstract: Milk (Lac) has been produced since the early 7th millennium BC. Around 1000 BC, humans used a nutritious white liquid food secreted by the mammary glands of mammals. Milk consumption varies around the world, averaging between 10 and 212 kg per person per year (Evershed & Payne, 2014). Milk contains bioactive peptides such as casein, whey protein, milk polar lipids (MPL), α-linolenic acid (ALA), conjugated linoleic acid (CLA), and palmitic acid (16:0)., Lactose, and other trace elements (such as calcium, phosphorus, magnesium, and vitamin D) have important effects on human metabolism and health. Milk and dairy products are excellent sources of immune-boosting ingredients, vitamins and minerals, especially calcium and phosphorus. It contains significant amounts of A and B complexes, including thiamine, riboflavin, nicotinic acid, and vitamin B12, but is a poor source of vitamin C and E. The purpose of this study was to gain insight into milk spoilage and storage at home level. A questionnaire was distributed and data was collected. Participants consumed 34.9% of raw milk, 62.1% of packaged milk, 1.94% of powdered milk, and 0.97% of Tetra Pak milk daily. I was the majority of the participants. 91.2% of participants stored milk for 1 day, 5.82% for 3 days, and 0.97% of participants for more than 3 days. Knowledge of preservation methods, such as sterilization, was also good for the majority of participants (95.1%), with only 4.85% unaware. Therefore, most participants were aware of the deterioration of milk and how to store it, and prepared various recipes using milk before deterioration.

Keywords: Milk, Bio-active peptides, Spoilage, Storage, Pasteurization.

Abstract: An analytical report is prepared for TCS to evaluate its investment prospects. The SWOT and PESTEL analyses utilized to assess the internal and external factors having an influence on the firm are used to describe the current state of the company. The basic difficulties that TCS is experiencing might be identified thanks to these analyses. Additionally, it examines TCS' organizational structure and how it affects the company's domestic production operations. Regarding the capacity to both attract new clients and hold on to current ones,Based on our results, the research also included a prediction of where we believe TCS will be in the following few years. This forecast provides an overview of TCS' prospects in analysing its expected growth.

Keywords: Company Analysis, Business Study, Strategies, case study.

Abstract: Drug innovations have entered the battle of the host-pathogen evolutionary arms race by focusing on invading species. In the recent studies it has been observed that majority of the assorted drugs utilized in medications are being challenged from the pathogens. This is leading to the blooming of antimicrobial resistance or AMR. The emergence of drug-resistant microbes coupled with a lengthy and expensive pipeline for drug or antibiotic research, has sparked a critical interest in computational techniques that could hasten candidate discovery. Advances in AI have promoted its use in a variety of computer-aided drug design contexts, with an expanding utility in drug discovery. Along with the crucial prediction of antimicrobial activity, de novo molecular design, determination of drug-likeness features, and antimicrobial compound representation are also being fetched by employing AI. This review describes developments in the innovations of drugs, antibiotics and antimicrobial peptides, which have been made possible by AI. Further this investigation also examines the adoption of open scientific best practices in AI-driven drug innovations in the current urgency of the antimicrobial resistance challenges and makes the case for openness and reproducibility as a way to quicken preclinical research. It was observed in this study that numerous new corporate start-ups are eagerly approaching to AI based drug innovations. The conclusion of this investigation opined that artificial intelligence advancements in the drug innovation arena offer numerous prospects for future applications.

Keywords: Drugs, Innovation, discovery, Artificial Intelligence, Machine Learning, Antibiotics, Antimicrobial resistance, Pipeline.

Abstract: The aim of the 'Pradhan Mantri Ujjwala Yojana is to provide eight crore free cooking LPG connection to the people living under below poverty line. Empowering women is essential to the health and social development of families, communities and countries. When women are living safe, fulfilled and productive life, they can reach their full potential, contributing their skills to the workforce and can raise happier and healthier children. The population of the research consists of the beneficiaries of Pradhan Mantri Ujjwala Yojana (PMUY) Scheme are living in Aurangabad District. Total 300 samples was the target population of the study. The dimension of Pradhan Mantri Ujjwala Yojana (PMUY) Scheme selected as Sustainability, Energy Affordability, Accessibility, Safety, environment-friendly and Health & hygiene. women empowerment variables selected as Physical properties like livestock, jewellery, etc., Easy approach and access to financial institutions, ATM & Bank Account, Enhancement in annual income, Savings habit and capital formation. The household survey was undertaken from the beneficiaries of PMUY . The data was collected through demographic information and interview schedule from women residing in the rural sector in Aurangabad district of Maharashtra. Descriptive statistics, Chi-square and Regression analysis (By using SPSS) will be used for data processing. The result shows the Pradhan Mantri Ujjwala Yojana (PMUY) was regressed on the predictor women empowerment with respect to Financial aspect.

Keywords: Sustainability, Energy Affordability, Accessibility, Safety, environment-friendly and Health & hygiene, Rural , Women empowerment

Abstract: This study involves the Development and analysis of Winter melon Chocolate Bar. The winter melon filling was prepared using winter melon, sugar, ghee and nuts and the coating was made using chocolate and Choco chips. Three variations were made (1) without using any binder, (2) using maltodextrin as the binder, (3) using starch as the binder. The analysis of winter melon chocolate bar such as the Strength of bar, melting rate, Brix test, pH and test for acidity were analysed. Sensory analysis was conducted to understand the firmness of the filling and the chocolate as a whole. The study concluded that variation (2) provided the perfect firm structure without altering the taste of the product.

Keywords: winter melon, chocolate, maltodextrin, binder

Abstract: Objectives The primary aim of the study was to examining the effects of Low Intensity Treadmill Workouts on Low Density lipoprotein (LDL) and very low density lipoprotein (VLDL). Sample Size Only one group was targeted as an experimental group, there was no control group. The 15 male participated in the study and their age ranged between 19-28 years. The all students are sedentary and not participation any sporting or physical activities. Ethical consideration Exclusion criteria were the presence of any chronic disease such as CVD, Hypertension Hypotension, asthma, Diabetes, etc. that would put the subjects at risk when performing the experimental tests. Training program Experimental group participated in Low IntensityTreadmill Workouts Training program which was conducted for four-week,four days in a week and 15 minutes in a day. After the pre-test was over, the entire selected subjects were exposed to four-weekTreadmill Workouts. Results Low Density lipoprotein and very low density lipoprotein decreased after four-weekTreadmill Workoutsintervention programme.

Keywords: LDL, VLDL, sedentary

Abstract: Construction by its very nature presents numerous hazards and is considered as high accident prone industry. Accident statistics detail in India is not available. It is estimated that more than 10 million workers receive injuries in the course of one year throughout the world. The work will give a brief concept of safety and safety aspects. For the formulation of this report a detailed study of safety and its importance in construction industry is done. Moreover, the various causes of accidents and their impacts have been studied. The safety audit of a construction project is done and their findings and recommendations have been listed to find out the key safety issues of the site thereby helping the management to provide proper safety measures. A questionnaire survey was done to find out the safety practices followed in the construction sites. Summary based on the data is made and recommendations are given

Keywords: Safety, Audit

Abstract: The project's objectives are to shorten lines at energy meter billing counters and automatically lower use of energy meters in the event that bills are not paid. The project also aims to offer a remedy that would reduce power and revenue losses brought on by theft of power and other illegal actions. The "Prepaid Energy Meter" is a brand-new concept used by the workplace system. Utilizing GSM technology, the user is alerted to power usage (measured in watts) and is immediately prompted to recharge if it drops below a certain threshold. All power distribution companies, private communities, computer parks, and multi-unit housing developments can use this technology. The adoption of this project will aid in better energy management, energy saving, and the elimination of unneeded headaches associated with inaccurate billing.The automatic billing system will track realtime use and allow minimal room for argument over consumption and invoicing. The metering and billing system has been identified as one of the problematic subsystems leading to the massive revenue loss in the Nigerian power sector. The prepaid card communicates with the power company through the GSM network. The latching Relay disconnects the consumer load from the utility supply when the prepaid card is out of balance (contactor). Through GSM/SMS mode, the electricity supplier may remotely top off the prepaid card based on user demand. The results obtained imply that the process works effectively. Delinquent bills and human error in meter readings are certain to be reduced by prior billing, ensuring the utility justified revenue.

Keywords: Prepaid, Energy Meter, GSM module, Relay, Microcontroller, LCD display

Abstract: We are living in the fourth industrial revolution. Our life is becoming more comfortable and smarter with the help of rapid upgrade of technology. The Internet of things (IoT) is playing a massive role in this. One of the major sides of IoT is a smart home. As we are in the era of never-ending growth of the internet and its application, smart home systems or home automation systems are highly increasing to provide comfort in life and improving the quality of life. In this paper, we present an IoT based low-cost smart home automation system. This system is based on a web portal which is controlled by an ESP32 Wi-Fi module. Also, a custom-made private home web server is developed for maintaining the current state of home appliances. This paper describes the overall notion of the IOT based sensing systems and monitoring systems for implementing an automated home. The proposed prototype uses Node MCU board with internet being remotely controlled by Android OS smart phone. Node MCU is the heart of this system and it can perform as a micro web server and it acts as an interface for the wide range of hardware modules. To control lights, fans and other home appliances which are connected to the relay system, the system offers switching functionalities.

Keywords: Home Automation, IoT, ESP32 Module, Relay Module, Cloud Server

Abstract: With the availability of the internet everywhere, there is a rapid advancement in the field of IoT based technology. With global positioning of iot and increase for widespread accessibility of the internet, web based technologies and component design and manufacture companies like Arduino have gained widespread importance. With the unleashing of 5G after a lot of trials, considering its flexibility of use in almost all kinds of devices and bringing them into a web network. Apart from the use of IoT in industries, the Home automation sector has a lot of use cases. In this paper, we have brought together all kinds of research work that have been proposed in the field of IOT in home automation and tried to bring to light different components that are used, what are its advantages and disadvantages.

Keywords: Automation, IOT, NodeMCU, Google Assistant ESP8266, wifi integration technology, sensors, voice control.

Abstract: Red soil is often used for agriculture because it is fertile and well drained. This is especially beneficial for crops that require a lot of nutrients, such as bananas and sugarcane. Red soil can also be used to grow other types of crops, such as vegetables and fruits. It is necessary for us to know the properties of soil. We will study the Physico-Chemical properties of Red soil in our research, the red soil on which we are doing research is found in area of Koranga mal village, block Farsabahar of Jashpur district of Chhattisgarh. We will study the Physico-chemical properties of this red soil in our research, which element is found in it, what is its physical properties. During this we will study the physical properties like that Conductivity, pH-value, percentage of Carbon etc. We will study the chemical properties like presence and quantity of Fe, Cu, Zn, Ca, Mg, S, N etc. And try to reach some conclusion.

Keywords: Red Soil, Conductivity, Resistive, pH-value, Physical properties, Chemical properties etc.

Abstract: Zoroastrian-Parsi's people belong to the Persian community, who emigrated to India between 785 and 936 A.D. after the Arab invasion. They are the proponents of Zoroastrianism faith and have endogamous culture.Since they have settled in India for a long time we hypothesized that though they were endogamous there might be incidences of admixture with the Indian population. In order to test this, we built a phylogenetic tree using mitochondrial sequences of both the Indian and Pharsi population. We used 97 Indian mitochondrial sequences representing different communities from different regions of India and 64 Zoroastrian-Parsi mitochondrial genome sequences from different parts of India and a single african mitochondrial genome sequence as an outgroup. We built a maximum likelihood phylogenetic tree and mapped sequence specific haplogroups and their variants on the phylogenetic tree.The phylogenetic analysis showed admixture to have taken place at many instances. A total of 6 major haplogroups with a maximum of 12 sub-haplogroups were identified as mapped on the tree. The co clustering of common as well as unique variants of different haplogroups in some clades suggest multiple admixture events to have happened between the Zoroastrian-Parsi and Indian populations.which raise remarks on their endogamous culture.

Keywords: Mitochondrial genome, Haplogroups, Phylogenetic analysis, Admixture.

Abstract: In the world, pump technology has been successfully applied. Today, pumps are used and applied everywhere. If these devices did not operate, modern public utilities, chemical factories, municipal water, and sewage works, and other fields too numerous to mention would be severely hampered. As everyone is aware, a pump uses a motor to transform mechanical energy into hydraulic energy. We will design the centrifugal pump for this fluid engineering project by creating components, including the volute casing. We adhere to the accepted design process in this design process. we modelled it in SolidWorks and used this modelling to understand how the centrifugal pump functions.

Keywords: Centrifugal Pump, Speed, Input Power, Blade Number.

Abstract: Trajectory planning is one of the most important pivotal point in pick and place tasks done by robotic manipulators. In this work, we have presented a robot, which is compact, autonomous and fully functional.This robot or a smart car is built to sense any obstacle in its path, to avoid it and resume its running involving the pre-computation of an obstacle free path.Ultrasonic sensors were adapted to implement a real-time obstacle avoidance system for wheeled robots, so that the robot can continually detect surroundings, avoid obstacles, and move toward the target area.This model has tremendous applications in vacuum cleaners, avoiding concealed paths, parking systems, assembling automobiles and in chemical industries, in scientific exploration, emergency rescue and in other isolated environments.We use an Arduino UNO with a Motor Shield along with Stepper Motors to make the car, and for sensing we incorporate an Ultrasonic Sensor which accurately and efficiently detects any obstacles in the smart car's path. The Arduino is coded such that the smart car moves backward when an obstacle arises in front of it with a maximum limit of 50cms in ideal testing conditions.Throughout the construction of this model, we educated ourselves to the Arduino coding language, the Motor Shield functionality, and comprehensively, with the working of an ultrasonic sensor and its features.In conclusion, through this project, we aim to construct a model of a smart car that is beneficial to the quotidian problems of the present generation.

Keywords: Smart Car, Intelligent Vehicle, Detection, Obstacle avoiding, Ultrasonic, etc.

Abstract: The rise of hyperlocal e-commerce presents a transformative opportunity for local businesses to compete in the digital marketplace. This research explores the development and implementation of a hyperlocal e-commerce platform that bridges the gap between local vendors and consumers by leveraging geolocation technology. The platform uses the Haversine algorithm to calculate the proximity between users and nearby businesses, enabling faster and more efficient deliveries. Additionally, it incorporates collaborative filtering to personalize user experiences by recommending relevant products based on browsing history. To ensure seamless order management and secure transactions, the system integrates Twilio for real-time messaging and PayPal as the payment gateway. Unlike traditional e-commerce models, which often overlook local needs, this platform fosters community-driven commerce, supports small businesses, and provides users with a personalized and efficient shopping experience. The paper outlines the challenges of building such a system, evaluates its performance, and suggests future improvements for scalability and enhanced functionality.

Keywords: Hyperlocal E-commerce, Local Businesses, Geolocation Technology, Haversine Algorithm, Deliveries, Collaborative Filtering, Personalization, Order Management, Secure Transactions, Twilio, PayPal, Community-Driven Commerce, Small Businesses, Personalized Shopping Experience, Scalability, Enhanced Functionality.

Abstract: Cloud native infrastructure management is being transformed by Artificial Intelligence (AI) and Machine Learning (ML) techniques, often referred to as AIOps, which automate complex operations and enhance system resilience. AIOps capabilities encompass predictive maintenance, forecasting and preventing failures before they impact services, intelligent observability through the analysis of logs, metrics, and traces, and autonomous fault remediation that enables self-healing systems. These approaches are particularly valuable in Kubernetes based architectures, where dynamic microservices environments generate massive volumes of telemetry data that AI can analyze to proactively detect anomalies and performance issues. Major cloud platforms have integrated AI driven automation into their operations toolchains. For instance, AWS DevOps Guru employs ML models to identify operational anomalies and recommend remediation actions, while Azure Monitor and Google Cloud Operations embed machine learning for intelligent alerting, performance tuning, and capacity forecasting. Open source and hybrid tools further enrich this ecosystem. KubeFlow supports ML workflows on Kubernetes, and observability frameworks like Prometheus and Elastic APM collect telemetry data that feeds into AI driven analytics and automated responses. This article highlights how AI driven automation and AIOps practices are enhancing infrastructure reliability and efficiency, while also addressing persistent challenges. These include model drift where model accuracy degrades as systems evolve, poor data quality that undermines analytical insights, and a lack of explainability in AI decisions which complicates trust and broader adoption of AIOps solutions.

Keywords: AI-Driven Infrastructure, AIOps, Cloud-Native Systems, Predictive Maintenance