Volume 12 | Issue 5 |

 Abstract

IoT-based patient health care monitoring and assist system is a sophisticated platform designed to offer comprehensive and real-time health monitoring and assistance to patients, particularly those with chronic conditions or the elderly requiring continuous supervision. This system leverages a network of sensors, medical devices, and wearables to gather vital health data, including heart rate, blood pressure, glucose levels, temperature, and activity levels. Through seamless data transmission via Bluetooth, Wi-Fi, or cellular networks, this information is relayed to a centralized monitoring system for instant processing and analysis. Employing advanced algorithms and machine learning techniques, the system identifies patterns, anomalies, and critical conditions, triggering timely alerts for healthcare providers or caregivers. Patients and caregivers can access this data through intuitive interfaces like mobile applications or web dashboards, allowing for proactive interventions and adjustments in treatment plans. Integration with electronic health records (EHR) and hospital information systems (HIS) ensures holistic patient care, while stringent security measures safeguard patient privacy and compliance with regulatory standards. Overall, this IoT-based system facilitates personalized, continuous care, enhances healthcare outcomes, and promotes a higher quality of life for patients requiring ongoing medical support

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NodeMcu, Fall detection sensor, Flex sensor, Air quality sensor.SPO2 sensor .LCD display, Voice module

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proliferation of false news has become a significant challenge, affecting various aspects of our society, including politics, education, and public discourse. This work addresses the problem of false news detection by exploring the application of different classification techniques. Recognizing the limited availability of resources, particularly datasets, we have implemented a comprehensive stacking of models that include distinct classification algorithms: The model combines Random Forest, Support Vector Machine (SVM), and Logistic Regression approaches with a multi-layered classification strategy and TF-IDF for feature extraction. This leads to an accuracy rate of 95.07%. This high-performance outcome highlights the effectiveness of the adopted methodology in distinguishing between authentic and fabricated news content.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SVM, classifier, random forest, logistic regression

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Metal oxide nanoparticles -- zinc oxide, copper oxide, tin oxide, aluminum oxide, etc. have received a lot of attention lately. This is a result of the wide variety of innovative uses in various industries. Because of its incredibly excellent antibacterial, antiviral, and antidiabetic capabilities, zinc oxide nanoparticles (ZnO Nps) have a vital role in restorative applications. ZnO has a white appearance and is water insoluble. They do not affect human cells, but they do harm bacterial cells. Because smaller-sized nanoparticles have greater antibacterial activity, it is crucial to manufacture them. However, the synthesis process should be straightforward, inexpensive, and repeatable. Numerous techniques for synthesizing ZnO Nps have been investigated during the past few decades. The purpose of this work is to explore green synthesis techniques for ZnO Nps utilizing plant extracts. Because they use less harmful chemicals, are environmentally benign, and allow for the one-step synthesis of nanoparticles, researchers are using green synthesis techniques at a rapid rate. Microorganisms such as bacteria, fungus, algae, and yeast, as well as plants and their derivatives, are the biological systems engaged in the environmentally friendly synthesis of nanoparticles. Since ZnO Nps are thought to be harmless, nontoxic, and biocompatible, they are of great interest. Because the size and morphology of ZnO Nps determine their uses in different domains, it is critical to synthesize ZnO Nps with the appropriate size and shape. The green synthesis of ZnO Nps primarily uses a variety of plant extracts. This is as a result of the biomolecules included in plant extracts, which serve as reducing, stabilizing, and capping agents during synthesis. Obtaining plant extracts is as simple as combining the extract with a solvent, such as distilled water. Various plant parts, including leaves, roots, seeds, fruits, flowers, stems, bark, and gum have been utilized. To our knowledge, the green nanotechnology for the synthesis of ZnO Nps is not yet well documented. In the present work, the main objective was to investigate the use of part of plant used for green synthesis, study of different reaction parameters used for the synthesis. Also the biomedical applications of zinc oxide nanoparticles like antibacterial, antifungal, antiviral, anticancer, antidiabetic and drug delivery are discussed. Overall, this study stands as an initial prerequisite step to green nanotechnology research in zinc oxide nanoparticles.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green synthesis, zinc oxide nanoparticles, nanotechnology, metal oxide nanoparticles, plant extracts, antibacterial, antifungal, antiviral, biomedical application

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identification of plant diseases is the key to preventing losses in the yield and quantity of the agricultural products. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plants is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires a tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases by capturing the images of the leaves and comparing it with the data sets. The data set consists of different plant in the image format. Apart from detection users are directed to an e-commerce website where different pesticides with its rate and usage directions are displayed. This website can be efficiently used for comparing the MRP's of different pesticides and purchasing the required one for the detected disease. This paper aims to support and help the green house farmers in an efficient way.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant disease detection, Tensor flow, Green house, Convolution neural network, Data model, image to byte code

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this, a project focusing on the replacement of coarse aggregate with recycled plastic aggregate below the neutral axis of simply supported reinforced concrete beams. In a reinforced concrete beam, the section above the neutral axis experiences compression, while the section below undergoes tension. The neutral axis itself bears no tension or compression. Given concrete's suitability for bearing compressive stress and steel's effectiveness in tension, concrete below the neutral axis is dispensable. The substitution of recycled plastic aggregate for natural coarse aggregate not only addresses the environmental challenge of plastic waste but also contributes to the sustainable use of resources. This substitution is particularly significant in M20 grade concrete, which finds extensive application in various construction projects. A crucial aspect of the project involves conducting flexural tests on reinforced concrete beams to assess the performance of the composite material. The results of these tests will provide valuable insights into the feasibility and effectiveness of using recycled plastic aggregate in structural applications. Overall, the initiative represents a proactive approach to mitigating environmental impact, conserving resources, and fostering sustainable practices in the construction industry.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neutral axis, Plastic concrete, compressive stress, tensile stress.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In case of simply supported reinforced concrete beam, the portion above neutral axis is in compression and the portion below neutral axis is in tension. Tension and compression on the neutral axis is zero. Concrete takes compressive stress and steel takes tensile stress, so concrete below neutral axis is not necessary. Plastic waste is increases day by day and this waste we cannot burnt and dispose so reuse of plastic us very essential. In this project we fully replace coarse aggregate by recycled plastic aggregate below the neutral axis of beam and we take flexural test on RC beam. Due to rapid growth of industries and due to urbanization in the country it leads lot of infrastructure. So that it leads to many problems like lack of construction material, increased productivity of wastes and other products. This project deal with the reuse of recycled plastic waste as partial replacement of natural coarse aggregate in M20 grade concrete and usually M20 grade concrete is used for most constructional works.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recycled Plastic wastes, Plastic concrete, Neutral axis, tensile stress, Compressive strength

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Catla Catla, Tumaria Reservoir, Morphometric analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The abstract presents an overview of the strategies for preventing and detecting cyberbullying. Prevention efforts encompass a multi-faceted approach, addressing both individual and systemic factors. Additionally, the integration of technology-based solutions, such as content filtering and social media monitoring tools, can help mitigate the risk of cyberbullying incidents. Detection of cyberbullying involves the timely identification and assessment of harmful online behaviors. Machine learning algorithms offer promising avenues for detecting cyberbullying content across various digital platforms. Natural language processing (NLP) algorithms can analyze text-based communications to identify patterns indicative of bullying behavior, while image and video analysis algorithms can detect visual content containing abusive or threatening material.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nlp, Lstm,Cyberbullying , Machine learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of our work is to design the G+1 building according to Indian Standard codes. The design can be done manually (or) with the help of Software. We have selected to do our project with Software because designing manually consumes a lot of time, effort and can contain mistakes whereas by using software we can save time and obtain results without errors. Now a days there are several Software's are available in market for analysis and design of Civil Engineering structures" like ETABS, Staad Pro etc. At present work we used software named "Staad Pro"" abbreviated as "Structural Analysis Design and Detailing Software". The reason for using this is that user friendly and has exceptional features like it designs the structural components individually along with their analysis and results. Additional useful feature of this software is that we can view the Shear force, Bending moment, Torsion diagrams at each level of the building. We prepared the drawing plans along with its specifications for the building plan. After preparing the plan ready we have commenced by designing the structural components of building namely slabs, beams, columns and footings etc.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shear Force, Bending Moment, Deflection, Slabs, Beams, Columns, Footings, Staad Pro.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Understanding a place's history, origins, way of life, terrain, artistic expressions, and architectural surroundings is crucial to understanding its inhabitants. The culture of a society can be very diverse. Ithalar's traditional architecture has been influenced by the region's topography, climate extremes, and other natural phenomena. In addition, the native architecture complements the surroundings really well. The traditional architecture of the area serves as the cornerstone of its social and cultural framework. It is essential that the integrity of this architecture be preserved. The Badagas are the largest indigenous group in the district of Nilgiri. The Nilgiris were formerly a tribal area. There are about 303 "Hattis" (Badaga villages) in the district. The language of the Badaga people is called "Badugu". The language has no script. It elicits great interest and respect since it portrays the disclosure of the complex realities of the local populace. Traditional architecture used locally available building materials and construction techniques that were more appropriate for the area's temperature and topography in order to create buildings that were as comfortable as possible for inhabitants. If modern construction adopts the old building practices of the past, it can significantly improve future building designs. The research is centred on architecture because it will be utilised in the construction of the new homes. This study looks at the Ithalar region and how the research has affected the design of homes there. The language spoken by the Badaga people is called "Badugu." Language does not use script. Given that it depicts and illuminates the many realities of the local population, it arouses intense curiosity and respect. Using locally accessible building materials and construction methods that were more suited to the climate and geographic characteristics of the area, traditional architecture aimed to create comfortable spaces for people. Future building designs can be greatly enhanced by incorporating the conventional building lessons learned from the experiences of earlier generations. Architecture is emphasized because the research's goal is to create the new house. The Ithalar region is the subject of this research report, which also discusses how the study's findings affected house architecture. In order to learn from the local features, the research focuses on architectural design. The description of Kutch, albeit not comprehensive, aims to convey the essence of this remarkable region of India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate Responsive Building, Vernacular Architecture, Sustainable Construction, Living Style.

  License

Creative Commons Attribution 4.0 and The Open Definition