Journal of Science & Technology (JST)
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Big Data and Robotic Process Automation: Driving Digital Transformation in the Telecommunications Sector
Get PDFThe telecom industry is undergoing a change because to the combination of Big Data analytics and Robotic Process Automation (RPA), which boosts customer happiness, operational efficiency, and strategic decision-making. While big data analytics makes it possible to handle and analyse massive datasets in order to derive relevant insights, robotic process automation (RPA) automates repetitive operations, lowers error rates, and speeds up processes. This study highlights the combined influence of RPA and Big Data on the digital transformation of the telecoms industry by examining their synergistic interaction. Key obstacles are identified by the research, including the possibility of implementing RPA incorrectly, the significance of protecting data privacy, and the need for qualified staff to oversee these technologies. According to the study results, 65% of participants are aware of the risks involved in implementing RPA and stress the importance of thorough configuration and preparation. Furthermore, as noted by 55% of respondents, maintaining data privacy in multi-departmental settings can be challenging. The results highlight the potential for transformation that can arise from strategically aligning RPA with Big Data, but they also highlight the dangers that must be addressed in order to effectively leverage these technologies. For telecom businesses looking to maximise their use of RPA and Big Data to maintain their competitiveness in the quickly changing digital market, this paper offers insightful analysis and helpful suggestions
Micro sponge-Based Delivery Systems for Personalized Dermatological Treatments
Get PDFA transformational approach to personalized medicine customized medicine, Microsponges are used in medicine, especially in dermatology, where therapies are customized for each patient's unique profile and topical medication administration. According to the author, microsponges, as well as enhanced drug delivery, drug release, and clinical applications systems, provide notable benefits in this context by improving the safety and effectiveness of topical therapies
Countryside leaf extracts act as an Eco-friendly natural pesticide
Get PDFPresent research discusses how countryside leaf extracts act as reasonable pest control for different crops, vegetables, fruits, flowers. Many modern pesticides are used today to store toxic materials in soils, air, and water. These toxin materials affect plants, animals as well as human health. These are also non-biodegradable in our environment. These leave extracts are toxic to insects pests. For this purpose, we collect Neem leaf, Indian Bael leaf, Green Chiretta leaf. After preparation of leaf extracts and uses of different crops, it may be concluded that the decreasing order of the pest control of natural leaf extracts is a Mix of all three leaves>Neem leaves> GreenChiretta> Indian Bael. Elico(171, Mini Spectro) machine was used to characterize these leaf extracts. Especially this pesticide uses on potato field to protect Aphids in West Bengal. Using these natural pesticides, after 2 week 95% Aphids were died.
 
HARNESSING DEEP NEURAL NETWORKS FOR HEART DISEASE PREDICTION
Get PDFMaking forecasts and diagnosing ailments has never been simple for medical professionals when it comes to heart conditions. Cardiovascular disease medical professionals have always found it difficult to predict and diagnose. As a result, being able to people all around the world can take the necessary actions to treat cardiac disease before it becomes severe if it is discovered in its early stages. The main causes of heart disease, a severe problem in recent years, are drinking alcohol, smoking cigarettes, and not exercising. A significant amount of data generated over time by the health care sector has allowed machine learning to offer efficient results in decision-making and prediction. Healthcare is basic to human well-being, and the industry collects an expansive sum of psychiatric information. Machine learning models are being utilized to move forward the precision of heart illness forecast. These models permit people to be dependably classified as sound or unfortunate. Our think about presented a comprehensive system that gets it the standards included in anticipating patients' chance profiles utilizing clinical information parameters. The proposed appear utilizes a Significant Neural Orchestrate to effectively address issues of underfitting and overfitting. This illustrate outflanks on both test and planning data. The model's effectiveness was encouraging inspected utilizing both Profound Neural Arrange (DNN) and Manufactured Neural Arrange (ANN) approaches, coming about in exact expectations of the nearness or nonappearance of heart illness.
 
Identifying Product Aspect Polarity by Product Review Classification with Dual Sentiment Analysis
Get PDFDual Sentiment Analysis has emerged as a crucial and active research field. It involves extracting sentiment from comments, feedback, or critiques, which serves as valuable indicators for various purposes. To address this, we propose a novel dual training algorithm that utilizes both original and reversed training reviews to develop a robust sentiment classifier. Additionally, we introduce a dual prediction algorithm that comprehensively assesses both aspects of a review for classification during testing. The proposed approach goes beyond traditional polarity (positive-negative) classification by extending the framework to a 3-class system, which includes neutral reviews. This enhancement allows for a more nuanced understanding of sentiment. By considering neutral reviews, we gain deeper insights into the sentiment landscape. Dual Sentiment Analysis plays a pivotal role in helping companies gauge the level of acceptance of their products and formulate strategies to improve product quality. Moreover, it empowers policymakers and politicians to gain valuable insights by analyzing public sentiments on policies, public services, and political issues
Co-Processed Excipients- A Review
Get PDFHere is no single-component excipient satisfies all the essential execution to permit a active pharmaceutical component to be formulated into a selected dosage form. Co-processed excipient has received substantially more consideration in the definition improvement of different dosage form, uncommonly for tablet preparation by direct compression strategy. The main aim of this review is to talk about the rise of co-processed excipients as a present and future pattern of excipient innovation in pharmaceutical manufacturing. Co-processed excipients is a novel idea of consolidating at least two excipients designed to physical mixing without significant chemical change. These co-processed excipients have high functionalize compared to individual excipients such as better compressibility, flow property. All the developed excipients are enlisted for their beneficial and multifunctional characteristics. Further it gives opportunity for use of single multifunctional excipient rather than multiple excipients
Solar Energy Based Water Desalination System
Get PDFThere is scarcity of portable water in the world which is an essential thing. But the water should be suitable for drinking. There are many filters present in the market that can-do purification process, that make water safe to drink, but they don’t reduce the saltiness, due to this the drinking water tastes salty. This desalination processes the removes the salt and other minerals from the water & makes it suitable for human consumption and industrial use. RO generally used in domestic filtration system that removes impurities. RO is needed if the Total Dissolved Solids (TDS) exceeds a certain value. The main aim of this project is to use the non-conventional source of energy to design a system which provide water for drinking purpose and mainly designed for a village/ commercial purpose that the desalination system runs on solar power
Face Detection with Machine Learning and Open CV Classifier
Get PDFIn the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module
Detailed Study of Clustering Technique In Data Mining with Principle of Data Mining
Get PDFClustering technique in data mining is a main approach to deal with the data an extraction of useful patterns and knowledge from it. Clustering is involved in the datamining process. Datamining is the way of pulling out the knowledge, information, useful patterns and a reliable data from a huge gigantic amount of raw data as per the needs of the targeted sector. In technical aspects the Data Mining is a way of finding out the useful patterns from the raw data by using the suitable techniques of statistics, Machine learning, and Database techniques. Data mining target two major aspects of extraction of meaning full pattern data for concern of large-scale for better understanding of shapes and profitable patterns of data which impacts globally and the other is small-scale which deals with the lesser impact on the global scale. This paper give a brief overview of Clustering technique under the Data mining process their features and functionality. Majorly concentrate on Clustering technique and their algorithms with the pro’s & con’s and understand the need of clustering and its importance in Data mining process. The Data mining principle is also explained briefly just to build a base to understand the techniques and their importance which has to be discusse
Ultrasonic Investigation of Molecular Interactions in Polymethylmethacrylate-Toluene Binary Liquid Mixture
Get PDFUnderstanding molecular interactions in liquid mixtures is crucial for various industrial and scientific applications. In this study, ultrasonic technology was employed to investigate the nature and power of molecular interactions in a binary liquid mixture of polymethylmethacrylate (PMMA) and toluene at two different temperatures (308.15K and 298.15K) using a 2 MHz frequency. Acoustical characteristics including adiabatic compressibility ( βad), intermolecular free length (Lf), acoustic impedance (ƶ), relaxation time (τ), free volume (Vf), and surface tension (S) were evaluated based on measured values of density (ρ), ultrasonic velocity (u), viscosity (ɳ), and specific conductance. The results revealed significant variations in these parameters with temperature, indicating temperature-dependent molecular interactions. The calculated specific conductance provided additional insights into the conductivity of the liquid mixture. Overall, this study elucidates the complex molecular interactions in the PMMA -toluene binary system, providing valuable information for understanding its behavior and potential applications in various fields