Sri Shakthi SIET Journals
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Unveiling Future Trends for Predicting Online Smart Market Stock Prices using Ensemble Neural Network
Get PDFPredicting stock prices in the online smart market is a complex task, and leveraging advanced data mining techniques has become essential for accurate forecasting. This study proposes a novel approach utilizing an ensemble neural network combined with swarm optimization for enhanced predictive accuracy. The ensemble neural network, a robust machine learning approach, is adept at capturing complex patterns in stock market data. Concurrently, swarm optimization further refines the model's predictive capabilities, optimizing parameters for superior performance. By incorporating these techniques, the study unveils future trends in predicting online smart market stock prices, providing investors and traders with invaluable insights for informed decision-making. Existing algorithms are limited. The ensemble neural network integrates diverse models to capture intricate patterns in financial data, while swarm optimization refines the model parameters for optimal performance. The experimental results showcase an impressive accuracy of 92.5%, highlighting the efficacy of the proposed methodology. This research not only contributes to the field of stock price prediction but also provides valuable insights into future trends in the online smart market
Dual Axis Solar Tracking of Solar Radiation for Agriculture usage
Get PDFEnergy is one of the important parts of our life. As there is decline in fossil fuels and increasing demand for energy an alternate energy source is required which is renewable energy source like solar, wind etc. So, we use solar panels which trap the energy from the sun and produce electricity, and this energy is used for agriculture purpose like to run water pumps and to meet other energy requirements in agriculture. Due to rotation of earth the stationery solar panel will receive energy only for smaller duration so to overcome this we use dual axis tracking system which rotates solar panel according to direction of sun and helps in producing more solar energy. Agriculture is one of the major contributing sectors to the economy of a country and it requires automation and advanced technology so that it helps farmers in producing more yield and better crops. So, in agriculture continuous monitoring of soil and water level is required so we can automate this which helps the farmers where the device continuously monitors and depending upon the moisture level of the soil the water pumps get on automatically and we can use this for different crops and set threshold depending upon the crop type. And we can also integrate this idea with IOT technology for improvements. By this we create sustainable energy indirectly producing sustainable environment
A Novel Approach to detect COVID-19 from chest X-ray images using CNN
Get PDFIn light of the present COVID-19 pandemic, it is important to consider the worth of human life, prosperity, and quality of life while also realizing that it is difficult to restrict case spread and mortality. One of the most difficult challenges for practitioners is identifying individuals who are COVID19-infected and isolating patients to stop COVID transmission. Therefore, identifying the covid19 infection is important. For the detection of COVID-19, a 4-6-hour reverse transcriptase chain reaction is used. Chest X-rays provide us with a different method for detecting Coronavirus early in the disease phase. We detected properties from chest X-ray scans and divided them into three categories with VGG16 as well as ResNet50 deep learning algorithms: COVID-19, normal, and viral pneumonia. To test the model's accuracy in specialized cases, we injected them with 15153 scans. The average COVID-19 case detection accuracy for the ResNet50 model is 91.39%, compared to 89.34% for the VGG16 model. However, a larger dataset is required when using deep learning to identify COVID-19. It accurately detects situations, which is the desired outcome
Review of Hybrid Wind-Solar PV Technology in the Generation of Electricity
Get PDFAchieving sustainability by utilizing alternative energy sources viable technological possibilities for creating sustainable energy, the sun, biomass, wind, geothermal resources, hydropower, and ocean resources are considered. Despite the fact that the total amount of energy produced by PV cells and wind turbines is still far less than that of fossil fuels, their ability to generate electricity has significantly expanded in recent years. This article provides an overview of the Solar-Wind hybrid power system, which generates electricity by combining the Sun and Wind, two renewable energy sources. Microcontrollers are widely used in the field of system management. We can maximize the utilization of those resources by employing this strategy, which takes into account the distinct production processes of each resource. Furthermore, it increases dependability and decreases reliance on any single input. This hybrid solar-wind power generation system is suitable for both industrial and residential applications
Study on c-axis orientation of AlN thin film on the influence Al buffer layer and Ar/N2 gas flow ratio in reactive magnetron sputtering
Get PDFAlN is a piezoelectric material suitable for high temperature dynamic pressure sensing applications. Its piezoelectric coefficient purely depends on its crystal structure and growth direction. Highly c-axis (002) orientation exhibits high piezoelectric coefficient. Deposition of highly (002) oriented AlN thin film poses a challenge since such a growth depends on multiple process parameters and substrate material. In this work, AlN thin film was deposited using reactive radio frequency (RF) magnetron sputtering to correlate the gas flow rate and crystal orientation. AlN deposition was carried out on Si (100) substrate with and without 220 nm Al buffer layer under different Ar/N2 gas flow ratio. The samples were analyzed through X-ray diffraction technique. Results indicated that for the optimized value of 1:1 Ar/N2, (002) AlN intensity at its maximum for both AlN/Si and AlN/Al/Si samples. It is also observed that the use of 220 nm Al buffer layer on Si substrate enhanced the (002) intensity compared to AlN/Si
Deceptive Content Analysis using Deep Learning
Get PDFFake news is the deliberate spread of false or misleading information through traditional and social media for political or financial gain. The impact of fake news can be significant, causing harm to individuals and organizations and undermining trust in legitimate news sources. Detecting fake news is crucial to promote a well-informed society and protect against the harmful effects. Tools such as machine learning and natural language processing are being developed to help identify fake news automatically. Necessity of fake news detection is very important to maintain a trustworthy and responsible media environment. We have used Word2Vec model for word vectorization and represents words in a multi- dimensional space based on their semantic and syntactic relationships. The use of the LSTM with 256 units allows our model to capture the sequential nature of the data and make predictions based on past information. The proposed model uses Word2Vec and LSTM models to provide a powerful approach to fake news detection, combining the ability to capture the complexity of language and the sequential nature of the data. The model has the potential to accurately detect fake news and promote a well-informed society. The accuracy achieved by building the model was 97%
The Proliferation of Refined Optical and Emission Properties of Silver Oxide Nanoparticles using various Leaf Extracts
Get PDFPlant-mediated synthesis of nanoparticles has emerged as a promising approach, leveraging the unique properties of plant extracts. In this study, extracts from Bidens pilosa, Achyranthes aspera, and Tecoma stans were used to synthesize silver oxide nanoparticles (Ag2O NPs). The experimental results demonstrated successful synthesis of Ag2O NPs using a Soxhlet extraction method and subsequent characterization of the nanoparticles. The photoluminescence and optical properties of the synthesized Ag2O NPs were investigated, revealing distinct emission peaks and strong absorption in the visible region. The antimicrobial activity of the nanoparticles was also assessed, showing potential for their use in controlling and preventing infections. Overall, this study highlights the valuable optical and fluorescence properties of green extracts and their impact on the synthesis and functionality of silver oxide nanoparticles, paving the way for future research in the field of biotechnology and antimicrobial applications
A Comparative Analysis of Herbal Tea and Green Tea: Unravelling Their Origins, Processing, Caffeine Content, Flavor Profile, and Health Benefits
Get PDFThis study compares herbal tea and green tea in-depth in order to clarify their origins, production processes, caffeine amounts, flavor characteristics, and associated health benefits. Even while both green tea and herbal tea have become very popular, they each have distinctive features that set them apart from one another. The primary components are what distinguish green tea and herbal tea from one another. The same Camellia sinensis plant that yields oolong, black, and white teas is also utilized to produce green tea. They differ from one another because of variations in the withering and oxidation processes. Herbal tea, unlike green tea, employs dried fruits, flowers, spices, and herbs in different proportions instead of the tea plant. While the majority of herbal teas are caffeine-free, green tea is a rich source of caffeine. Additionally, most herbal teas have less antioxidants than green tea. The taste profile of herbal tea actually varies on which herbal teas are being tried out, whereas green tea has a fairly distinct natural flavor. When it comes to herbal teas, there are often two different flavor profiles: one that is scrumptious and the other that is as bitter as green tea. When it comes to herbal teas, there are often two different flavor profiles: one that is scrumptious and the other that is as bitter as green tea. The health advantages of green tea and herbal tea differ since they come from different plants. Green tea is a healthy beverage since it is full of antioxidants, catechins, theanine, and different vitamins. Herbal teas provide a range of health advantages since they are manufactured from a variety of fruits and plants. There are drinks labeled as "herbal tea" even though many herbal teas are used as natural medicines. In addition, this study aims to clarify the distinction between herbal teas and green tea and to provide insightful information to help people better understand, appreciate, and choose wisely when it comes to these beloved beverages
Turning Trash to Treasure: Unlocking Revenue and Clean Air from Kolkata's Dhapa Dumpsite
Get PDFSolid waste generation has become a pressing environmental issue in India, exacerbated by rapid urbanization, industrialization, and population growth. Kolkata, as one of India's most populous cities, faces significant challenges in managing its solid waste effectively. This paper explores the state of solid waste generation in Kolkata, focusing on the Dhapa dumpsite, and proposes solutions to generate revenue from waste management activities. Kolkata generates approximately 4,500 metric tonnes of solid waste daily, comprising various types such as organic, plastic, paper, glass, and electronic waste. The city's waste management infrastructure struggles to cope with the escalating volume and complexity of waste generated. Legacy waste, accumulated over decades at sites like Dhapa landfill, poses additional challenges, including environmental degradation and health risks. Discussions on the efforts to address legacy waste through biomining and bioremediation techniques have been discussed. Landfill gas (LFG) extraction and utilization as well as possible opportunities for converting waste into energy, is also discussed. The economic feasibility of waste management initiatives at Dhapa depends on factors such as technological innovation, political will, and revenue generation from recovered materials. Public-private partnerships and incentivizing private sector involvement can enhance efficiency and innovation in waste management. Finally, addressing the economic dimensions of waste management in Kolkata requires a holistic approach integrating technological innovation, policy reform, and stakeholder engagement. By aligning economic incentives with environmental objectives, Kolkata can create a sustainable and prosperous future where waste is treated as a valuable resource
Impact of Farmer Producer Companies on Small and Marginal Millet growers
Get PDFFarmer Producer Company (FPCs) is a viable option to increase the farmers’ income through their collective actions. FPCs are emerging in larger number with the support of SFAC and NABARD to provide business services to small and marginal farmers. Many small and marginal farmers depends on the FPCs. Therefore, the present study aims to find the impact of farmer producer companies on small and marginal millet growers in Dharmapuri district of Tamil Nadu. The primary data was collected from 60 members and 60 non-members of farmer producer companies comprising total of 120 millet growers. The study employed resource use efficiency and stochastic frontier model to find the profits earned by the millet growers. The sample FPC established a robust backward and forward linkages in which millet growers realized a profit for their produce. The study also found that, in addition to value added products, allied enterprises like cattle and poultry farming brought an additional income for sample FPCs. The results concluded that millet growers gained a substantial increase in farm revenue