Volume 11 | Issue 5 |

 Abstract

As a result of the smart grid's rapid development, the volume of user-side data has increased dramatically. Load forecasting is vital in order to control the smart grid. But traditional load forecasting methodologies now confront the difficulty of maintaining the accuracy of dynamic forecasting. Due to concerns with latency, security, and other factors, processing all of the data in a centralized data center is not ideal, so we need an effective technique. A potential computing ,edge computing performs calculations locally and overcomes the above challenges. The objective of the project is to meet the requirement of demand analysis using Long Short-Term Memory (LSTM) network based on a short-term load forecasting approach for more accurate load forecasting results.

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 Keywords

Smart grids, Load forecasting, Long Short Term Memory(LSTM), Edge computing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

t: Our everyday life has become smarter and more practical. We already know some voice services like Cortana. Now, our voice assistant system can act like an auto chrome, it can open social network websites in your web browser, tell you the time and ask you to be informed on Wikipedia. This project works by inputting voice and rendering voice. Outputs and displays text on the screen. Our flagship voice assistant program makes people smarter and gets results faster with computers. Speech Assistant picks up voice input with a microphone and translates the voice into understandable computer language to provide the necessary solutions and custom responses. This service connects to the World Wide Web and provides the results requested by the user. Natural language processing algorithms allow computer systems to communicate using natural language in a variety of ways.

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 Keywords

Virtual assistant, machine learning, artificial intelligence, python, pyqt5.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are close to 39 million blind people and around 285 million visually impaired people globally. There is a huge impact on the lives of visually disabled people due to this. Although there have been several attempts made for helping visually disabled to see objects via other alternating means such as sound and touch, the development of text reading device is still at a nascent stage. The system currently in existence either has a limited scope or requires a heavy investment. Therefore, we need a cost effective and truly efficient system that will be able to automatically identify and recite text aloud to visually challenged user base.

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 Keywords

tesseract ocr, espeak sythesizer, audiobook for visually impared people

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Food, as a metaphor, tends to bring families and relationships closer together. According to Chinese culture, "bao" means treasure as well as security and protection. Bao is a 2018 Oscar-winning animated short film about a Chinese Canadian mother who suffers from empty nest syndrome and is given a second chance at motherhood when a dumpling comes alive. Empty nest syndrome refers to the feeling of grief that parents experience when their child moves out of the home. This paper is an attempt to read the archetype of the mother as a caregiver, as someone who loves their child a little too deeply, and how family is represented through the food metaphor of bao. The element of anthropomorphism placed on the dumpling that comes out alive is essentially an allegorical dream that happens to the empty-nester mother in the film.

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 Keywords

empty nest syndrome, archetypal criticism, anthropomorphism

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Crop price prediction is important for farmers as it helps in making intelligent decisions about agricultural production, trade. With accurate price forecasting, farmers can optimize their planting decisions, determine the time for harvest, and plan their sales strategy to get the best prices for their crops. The importance of crop price prediction has grown in recent years, as climate change and other factors have made agricultural markets increasingly volatile, making accurate price forecasting more critical than ever. As a result, there is a growing need for sophisticated models that can analyse large amounts of data to provide accurate predictions of future crop prices. Farmers are not any longer looking to use analytics to get data they need to realize actionable insights and take informed decisions. Most of the farmers in other countries are started to migrate for automated farming. Estimating and evaluating crop prices prior to cultivating a particular crop can lead to informed decision-making, reducing losses and effectively managing risks of price fluctuations. When the price falls ,farmers face immense losses. We used the Random Forest Algorithm to analyse the previous data and predict the price for the latest data and estimate the price

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 Keywords

Crop Price prediction,Soil Testing,Random Forest Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Things (IoT) has revolutionized the way we interact with our environment, and its potential applications in various fields are vast. One such field is dam water level monitoring and water quality management. With the use of IoT-based systems, the monitoring and management of these critical resources become more efficient and cost-effective. This paper presents an IoT-based dam water level monitoring and water quality management system that utilizes Arduino, Red, Green, and Yellow LED, water level sensors, solenoid valves, buzzers, pH sensors, and ESP 8266 modules. The system uses the sensors to continuously monitor the water level and quality of the dam and sends the data to the cloud via the ESP 8266 module. The system is designed to trigger alarms through the use of the buzzer and the color-coded LED lights (Red, Yellow, and Green) to indicate the water level status. Additionally, solenoid valves are used to regulate the water flow, ensuring optimal water levels in the dam. The pH sensor is used to monitor water quality and send alerts if any deviations are detected. he IoT-based system has several advantages over traditional monitoring systems, including real-time monitoring, remote access, and data analytics. The data collected can be used to make informed decisions regarding water management, such as optimizing water usage, predicting future water levels, and identifying potential hazards. The system is also cost-effective and easy to implement, making it an ideal solution for water resource management. In conclusion, the IoT-based dam water level monitoring and water quality management system presented in this paper has enormous potential in ensuring the efficient management of critical resources. By using readily available components such as Arduino, Red, Green, and Yellow LED, water level sensors, solenoid valves, buzzers, pH sensors, and ESP 8266 modules, this system provides an effective solution for water resource management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, water level, stage wise warning caution

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Grasses are important in the economy and development of nation. Grasses has wide ranges including rice, wheat, sugarcane, maize, millet, bamboo, lawn grass etc. A number of grasses are cultivated in the world for providing food to people. Grasses form the fodder resources for large number of animal population of the world. Grasses play an important role in soil conservation as soil binders. In arid regions due to high evaporation rate, low and erratic rain fall and high wind velocity soil erosion is very common. Drought resistant grasses with high growth rate and branching system are helpful in preventing soil erosion in arid areas. The naturally growing grasses of an area play a vital role in soil conservation and fodder resources for that region. A survey is conducting for listing the naturally growing grasses in the suburbs of Sri Ganganagar city. Cenchrus ciliaris, Cynadon dactylon, Cyperus rotundus, Dactyloctenium aegyptium, Saccharum spontaneum are some grass species in the study area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Grasses, Food, Fodder, Soil conservation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the usage of credit cards for online transactions has increased, so has the potential for credit card misuse and fraud, which can result in significant financial losses for both cardholders and financial institutions. This research study aims to detect credit card fraud, taking into account the challenges posed by publicly available data, imbalanced datasets, evolving fraud tactics, and high rates of false alarms. The literature review highlights various machine learning-based approaches for credit card fraud detection, including Extreme Learning Method, Decision Tree, Random Forest, Support Vector Machine, Logistic Regression, and XG Boost. An empirical analysis is conducted using the European card benchmark dataset to assess the effectiveness of these approaches. The machine learning algorithm is applied to the dataset, resulting in improved fraud detection accuracy. Further experiments are conducted by varying the number of hidden layers, epochs, and using the latest models, resulting in improved accuracy, f1-score, precision, and AUC curves with optimized values of 99.9%, 85.71%, 93%, and 98%, respectively. The proposed model outperforms advanced machine learning models for credit card fraud detection, even when applied to imbalanced datasets. The proposed approaches can be implemented effectively for real-world credit card fraud detection, including balancing the data to improve detection accuracy.

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 Keywords

Fraud detection, machine learning, online fraud, credit card frauds, transaction data analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Curcuma longa, Aloe barbadenis, Coriandrum sativam, Azadirachta indica, zingiber officinale. are the medicinal plant they are normally used as a traditionally from ancient year in various herbal medicine such as Ayurvedic, Siddha, and Homeopathic .It also used in cosmetic and the medicinal product preparation from the above 5 herbal plant this research paper are useful to the study of anti-inflammatory activity. This polyherbal tablet were prepared by using the extract of given herbal plant product. This polyherbal tablet has reduces the inflammation and the symptoms of inflammation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal plant, anti-inflammatory activity, bulk density, development and formulation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Visually impaired people face a lot of challenges in their life and are at a disadvantage in our society especially the ones who live independently and doesn't have a dependent to take care of the needs. Technology is shaping the future and changing how people live. Technology has the potential to help people partially overcome some of these difficulties. Their lives can be made easier by voicebased mobile applications where the users can instruct the application to perform certain functions without actually seeing the application

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Object detection , Currency Detection, Message Reading, ML,blind app, helper app

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Creative Commons Attribution 4.0 and The Open Definition