Volume 12 | Issue 3 |

 Abstract

This project explores the application of deep learning techniques, specifically ResNet50, VGG, MobileNet, EfficientNet, and Inception V3 models, in the detection of Lumin Derm Disease in animals. Utilizing computer vision methods, this project analyze the effectiveness of these models in identifying characteristic patterns associated with the disease. The project aims to enhance diagnostic accuracy and efficiency in livestock health monitoring through the integration of diverse deep learning architectures. The outcomes of this research not only contribute to the advancement of diagnostic tools for veterinarians but also shed light on the nuanced intricacies of leveraging various deep learning models in the context of animal health. The findings hold promise for the development of enhanced surveillance systems, ultimately benefiting livestock management practices and ensuring prompt intervention in cases of LuminDerm Disease outbreaks.

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Luminderm Vet Guard Detection in Animals Using Deep Learning Techniques

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This review explores recent breakthroughs in drug delivery systems, spotlighting nanoparticles, liposomes, and micelles as pivotal advancements. Nanotechnology emerges as a transformative force, facilitating targeted drug delivery and heightened bioavailability. The exploration extends to targeted delivery methodologies, embracing ligand-mediated targeting and stimulus-responsive systems to augment specificity. Nevertheless, challenges loom large, notably concerning biocompatibility, and safety, underscoring the imperative for tailored solutions. Negotiating the intricate interplay among drug attributes, carrier properties, and biological barriers demands nuanced strategies. Regulatory hurdles and approval procedures present additional obstacles, warranting adherence to stringent protocols. Prospects for the future pivot on mitigating these constraints, envisioning personalized medicine paradigms, and assimilating cutting-edge technologies such as artificial intelligence and 3D printing. By surmounting these impediments, drug delivery systems stand poised to redefine therapeutic landscapes, promising enhanced treatment modalities and patient outcomes.

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 Keywords

Drug delivery systems, Nanotechnology, Targeted delivery, Future perspectives.

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In the evolving landscape of cyber security threats, web spoofing attacks persist as a significant challenge, exploiting user trust in web interfaces. Phishing emails, alluring adverts, click jacking, malware, spoofing injection, session hijacking, man-in-the-middle, denial of service, and cross-site scripting assaults are the techniques used to deceive a user into visiting a website. As web spoofing attacks continue to pose a significant threat to online security, there is an urgent need for robust and efficient mechanisms to detect and prevent such fraudulent activities. The proposed system employs a sophisticated feature extraction mechanism to analyze various aspects of web pages, including visual elements, structural components, and behavioral patterns. The Convolutional Neural Network (CNN) is chosen for its ability to handle complex and non-linear relationships within the dataset, providing a reliable and adaptable solution for phishing detection. By training the model on a diverse set of legitimate and phishing websites, the phish catcher gains the capability to recognize subtle and evolving attack strategies. The system operates on the client- side, ensuring real-time protection without relying solely on server-side defenses.

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A Client-Side PhishCatcher against Web Spoofing Attacks

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In recent advancements within the realm of IoT-enabled cloud computing and interactive applications, there has been a growing impetus for researchers to reassess the current landscape of healthcare services. IoT-cloud-based systems play a pivotal role in facilitating remote monitoring and extending support to patients. Despite their significance, the existing healthcare systems have not placed sufficient emphasis on addressing security concerns from the outset, thereby leaving vulnerabilities to third-party data spying. This paper proposes a comprehensive framework for healthcare, incorporating Blockchain technology to enhance the security of the system's interactive user interface. Our focus includes ensuring the scalability and optimizing the performance ratio of the system. The designed and developed interface caters to both patients and doctors, enabling patients to transmit their healthcare data through the IoT-enabled Cloud Medium, while doctors receive real-time data in a highly secure manner. To address data identification and analysis, Hybrid Attribute Encryption Algorithms coupled with Blockchain techniques have been implemented. This integration provides a robust solution for enhancing the interactive healthcare experience for both patients and medical professionals, leveraging the capabilities of Cloud and Blockchain technologies.

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Blockchain-Cloud Fusion for Integrated Healthcare

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Water is a fundamental requirement for human, animal, and plant survival. As consumers use water, primarily sourced from pipes and springs located around towns, contamination, leakages, and pilferage happen. A major issue nowadays is the disposal of harmful chemicals, industrial waste, and other contaminants into water sources. The quality of the water determines how well plants, animals, and people can survive. IoT and Machine Learning offer a promising solution to address these challenges. To ensure a secure Drinking and Irrigation purpose water supply, it is imperative to continuously monitor its quality in real-time. The main objective is to design the system for real-time monitoring of water quality through the Internet of Things (IoT) and Machine Learning approach.

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Enhancing Water Sustainability for Efficient Agricultural Irrigation and Consumer Consumption

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Creative Commons Attribution 4.0 and The Open Definition

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Nrusingha Guru was patriot. For this, early in his youth he got attracted to the national activity that was creeping over the nation and to the leadership of Mahatma Gandhi. His cultivated discipline, dedication and devotion to the task in hand made him follow his leader with faith and conviction. His personal integrity, the sprit of service and sacrifice. He was class by himself. For the suitable and many sided contribution, he made during the pre and post independent period he will be remembered for generation to come. His impact on his contemporaries was second only to Gandhi. He made incessant effort for the economics uplift of the people, initiated literacy and educational drive for the down trodden to provide the basis for change and removal the traditional caste based limitations in the interest of social expansion. Nrusingha Guru stood for a progressive and rational social order. He was the most complete human being. He was a high souled man, the Gandhi of Western Odisha.

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Anti- untouchability, Charkha, Journalism, Harijans, Khadi

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An important development in the field of international environmental governance was the 1992 Earth Summit. This study examines how the Rio Summit influenced global collaboration, sustainable development goals, and international environmental policy. It looks at the main ideas, results, and lasting effects of the Rio Summit, including the adoption of conventions like the Convention on Biological Diversity, Agenda 21, and the Rio Declaration. In addition, the report critically evaluates the advantages, disadvantages, and difficulties encountered in carrying out these pledges, considering their implications for current environmental governance initiatives. Through an examination of the political dynamics, institutional innovations, and historical background of Rio 1992, this research adds to our understanding of the significance of the event in promoting global efforts towards environmental stewardship and sustainability.

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Rio summit ,Rio declaration, earth summit, unfccc,Sustainable development, sustainable future,Costa rica's , United Nation , environmental

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Creative Commons Attribution 4.0 and The Open Definition

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Human-computer interaction is becoming more popular owing to its automaticity, naturalness, and user-friendly characteristics. An innovative approach to this explores by integrating artificial intelligence (AI) with hand gestures and voice commands to revolutionize human-computer interaction in game and virtual mouse, introducing voice-activated functionalities called proton. This system aims to reduce the need of physical device interaction by leveraging computer vision with OpenCV and Python, utilizing only a webcam as an input tool. Instead of using more expensive sensors, a simple webcam can identify the gesture and perform the action. The proposed framework allows users to perform game operations like left move, right move, up, stop. virtual mouse operations like left click, right click, double click, scrolling, drag and drop, volume control and brightness control through various hand gestures, and also users can perform find locations on Google Maps, check the current date and time, put Proton to wake it up, and exit the system, and perform tasks effortlessly through intuitive voice commands. Real-time applications, particularly in gaming, benefit from this approach, overcoming barriers associated with traditional input devices. Testing on games achieve human-computer interaction with minimal hardware requirements. This system integrates AI powered hand gestures and voice commands, demonstrates promising results in enhancing user experiences in virtual environments for gaming and mouse control. A significant advancement in human-computer interaction, providing an innovative and user-friendly interface. This seamless integration of AI and gesture control sets a new standard for efficiency, accessibility in interactive computing experiences.

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Artificial Intelligence (AI), Machine Learning, Human-Computer Interaction (HCI), OpenCV, Mediapipe, Natural Language Processing (NLP), Speech recognition.

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 Abstract

In present communication geometry stability of CdTe)n ;n=1-8 cluster by using HF and DFT method with LANL2DZ basis set. In DFT with have applied two functional B3LYP and B3PW91 for same calculation. For this study all possible conformers are designed and after geometry optimization have been done by using HF/ LANL2DZ. The minimum energy conformers of (CdTe)n ; n=1-8 further optimised by using HF, DFT/B3LP/B3PW91 method along with LANL2MB basis set. The optimised geometry have no imaginary frequencies for (CdTe)n, n=1-8 clusters. The electronic properties and reactivity of (CdTe)n cluster are computed with HOMO (highest occupied Molecular orbital) and LUMO (lowest unoccupied molecular orbitals). The reactivity parameters of (CdTe)n described that reactivity of odd clusters are high as compared with even clusters. The polarisability of (CdTe)n increases with increasing size of clusters however dipole moment does not shows any pattern. The computational data explained that HF method overestimate results and DFT method underestimate results.we hope our study play important role in designing new clusters in semiconductor field.

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 Keywords

HF, DFT, clusters, HOMO LUMO

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Creative Commons Attribution 4.0 and The Open Definition

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Using IoT to monitor healthcare smartwatches can be a smart healthcare partner. He tries to help people by constantly monitoring their health and seeking help when necessary. This little watch has a small screen for health tracking, an ESP32 brain, and multiple sensors to track your Heart Rate, Body Temperature, ECG and Blood Oxygen Saturation. Think of your device as a personal health monitor that constantly monitors your health. It can alert you or alert the doctor if it detects a serious problem, such as a fast heart rate. Your doctor can also view your health information in the cloud.

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IoT, ESP32, Heart Rate, Body Temperature, ECG, Blood Oxygen Saturation.

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