Volume 12 | Issue 4 |

 Abstract

The growth of Internet of Things (IoT) devices inside cyber-physical systems has brought in opportunities for technical improvements that are both encouraging and unprecedented in terms of the difficulties they provide to cybersecurity. This project intends to address the fundamental difficulties that are associated with the detection and attribution of cyberattacks within cyber-physical systems that are enabled by the Internet of Things (IoT). Increasing the capabilities of real-time detection is the key goal, and the primary objective focuses around the development and implementation of advanced algorithms and security protocols. In order to accomplish this, it is necessary to develop robust algorithms that are able to quickly recognize anomalies and potential dangers within the complex and interconnected landscape of Internet of Things environments. Additionally, the initiative will also investigate attribution, with the goal of identifying the origins of cyberattacks as well as the groups that are accountable for them. Utilizing cutting-edge technology like blockchain and forensic tools, we will investigate the possibility of establishing attribution systems that can be relied upon. By working on this project, the student hoping to earn a Bachelor of Technology degree hopes to make a significant contribution to the field of cybersecurity by developing workable solutions to strengthen cyber-physical systems that are enabled by the Internet of Things. It is predicted that the results of this research will bring to an improvement in the robustness of these systems, hence offering an increased level of protection against hostile activity. This endeavor highlights the significance of joint efforts among cybersecurity, Internet of Things, and related professionals in order to guarantee the effectiveness of complete detection and attribution tactics.

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 Keywords

Internet of Things (IoT), Cyber Security, Blockchain, Detection, Cyber attack

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Creative Commons Attribution 4.0 and The Open Definition

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We report the design and implementation of an affordable bedside device, Neo is capable of acquiring vital data in real time by integrating with diverse devices connected to newborns in neonatal intensive care units (NICUs). NICUs are equipped with multiple vital sign monitoring devices that are connected to the premature newborn. An NICUs is a device consisting of a rigid box-like enclosure in which an infant may be kept in a controlled environment for medical care. An infant incubator provides stable levels of temperature, relative humidity and oxygen concentration The relative humidity should follow set values according to the number of incubation days. In this smart NICUs an infant's data will be sent through via Phone or PC by doctor/care taker.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neo, vital data, networks in intensive care units (NICUs), monitoring devices, premature newborn, few gigabytes of data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Barbara Kingsolver as an author has mastered the art of writing political stories about human's plight and nature's exploitation. Her life in Kentucky and career as a biologist has opened doors to new ecofeminist perspectives. This paper aims to analyse The Bean Trees and Flight Behaviour from ecofeminist perspective, highlighting every issue ecofeminism aims to analyse. Anthropocentrism gives priority to human needs and Androcentrism narrows down the discrimination by treating men as the representatives of human condition. In both cases nature and women receive the shorter end of the stick as they are exploited to cater to the needs of entitled men. The prevalence of this entitlement can be seen through Bear Turnbow's actions in The Flight Behaviour and Turtles assault in The Bean Trees. Kingsolver unearths different layers of Anthropocentrism in her narrative by highlighting the moral dilemmas which come with using natural resources for one's own gain. While the women in her novels feel trapped in their world due to social conventions, nature is also given very little regard by the same people. The predicament of women and the exploitation of nature interweave to create a compelling narrative which advocates the liberation of both.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words : Ecofeminism, Anthropocentrism, Androcentrism, Women, Nature

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract. Word sense disambiguation is the method of believing out what an expression'splannedimportiswhenitlooksinalinguistic.Thenetworksamong the many parts of linguistics, most notably words, expressions, and routes, are highlyunclearanddeeplyentwined. Theplannedsensesofwordsare,parenthe- tically,easyforpeopletorealizeanddecode. Becauseofmistiness,itistoughto create a highly accurate material retrieval scheme or machine version system. Plentifuldeviceshavebeendevisedtoresolveambiguity,buttheyhaverelatively low success rates. Relative factors may have substantially impacted how well people could decipher the meaning ofpolysemic words. Announcing the Multi- Sensedatasetincludes9,000picturesofEnglishverbs,amachinetranslationsys- tem, or both as of ambiguity. Several methods have been developed to resolve ambiguity but have relatively low success rates. Associated factors may have greatly impacted how well people could interpret the meaning of polysemic words. Introducing the Multi-Sense dataset, which includes 9,000 pictures of Englishverbs.Theoutcome is low accuracy. Thepresentqueryexpansion algo- rithmsdonottakeintoversiontheframeworkoftheworker'squestion'spuzzling terms.Themethodforcausalthecorrectsenseofambiguousphrasesisprovided in this work. It contains likening the import of the unclear term to the senses of the other terms in the question and then giving weight to the contrast. Weights aregiventothelikenessmeasuresofthephrasesindecreasingorderofproximity to the ambiguous term. An overall likeness score is resolute by the supplied weights.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

WordSenceDisambiguation,MachineLearning,Multi-Sence words, Natural Language Processing.

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, we present a novel approach utilizing recent advancements in embedded processing to enhance fire detection capabilities in surveillance systems, specifically tailored for forested areas. Our proposed system utilizes the YOLO-v8 algorithm, optimized for efficiency and accuracy, to detect wildfires in their early stages, crucial for mitigating potential impacts and facilitating swift responses. Through fine-tuning the model with fire-specific data and considering the unique characteristics of the target problem, we achieve a balance between efficiency and accuracy. The framework's effectiveness is validated through rigorous testing in CCTV surveillance environments. Upon detection of a fire, the system promptly notifies relevant personnel via email alerts and buzzer notifications, ensuring timely intervention and minimizing potential damages. It uses a sensor that detects the heat by using the temperature sensors which can differentiate the heat levels of the sunlight from the actual forest fire.

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Creative Commons Attribution 4.0 and The Open Definition

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Fire detection, Surveillance systems, Yolo-v8 algorithm, Sensors, Temperature sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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The purposes and goals of competition law and intellectual property law appear to be at odds with one another. These disagreements have resulted in the formation of a long-debated issue that must be resolved. Anti-competitive practices in the market are prohibited by the Competition Law, which serves to facilitate market expansion. IPRs, on the other hand, give the owner an exclusive monopoly over the product or service. Economic efficiency is increased when there is healthy and fair competition. The goal of putting the competition law into effect was to reduce monopolies and promote competition. In contrast to the goal of establishing competition legislation, intellectual property laws are intended to prevent ideas developed through research and development by inventor firms from being copied and sold by companies that produce comparable items and profit from the sale of those products. Competition rules are drafted in order to prevent a dominant corporation from abusing its market position. Its goal is to eliminate monopolisation of the manufacturing process, hence stimulating the entry of new enterprises into the marketplace. Some of the primary objectives of competition law include the enhancement of consumer welfare and the increase in the value of production. However, intellectual property laws offer monopolistic legal rights to the producers and owners of works that are the outcome of human intellectual creation. When this dominant/monopoly position is abused, it is in violation of intellectual property rights and competition law. The IPR may result in a situation in which substitutes are no longer available on the market. Consequently, a dominant position in the market may be established, which may later be exploited by the dominant enterprises, thereby defeating the primary goal of the Competition Act of 2002. Research Objectives o LINKING PATENT AND COPYRIGHT WITH COMPETITION LAW o BALANCING IPR AND ANTITRUST o UNREASONABLE CONDITIONS IMPOSED BY IP HOLDER THAT COULD LEAD TO ANTI-COMPETITIVE PRACTISES o UNDERSTAND EFFECTS OF IPRs ON COMPETITION AND WELFARE

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Creative Commons Attribution 4.0 and The Open Definition

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legal view on interplay between competition laws and intellectual property right

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes mellitus is a chronic disorder that is widely prevalent and requires careful management that includes diet, lifestyle, and health parameters. This research describes a novel mobile application that provides individualized meal advice and monitoring for people with diabetes. The application uses machine learning algorithms to provide personalized food recommendations based on dietary restrictions, personal tastes, and health data like blood glucose levels. The application seeks to enable users to achieve optimal glycemic control while partaking in a varied and fulfilling diet by combining user input with real-time data. This manuscript outlines the intended mobile application's characteristics, developmental trajectory, and possible benefits in enhancing diabetes self-management. The application aims to transform nutritional support for people with diabetes by utilizing an innovative method that promotes informed decision-making and improved well-being.

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes Management, Mobile Application, Personalized Recommendations, Machine Learning, Dietary Monitoring, Blood Sugar Levels.

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Creative Commons Attribution 4.0 and The Open Definition

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Cestrum nocturnum Linn is a medicinal plant, found as weed throughout India. The plant is native to tropical regions such as the West Indies, India and other South Asian Countries. It has been extensively used in Indian traditional medicine for wound healing, such as antioxidant, antibacterial, anticancer, antifungal, analgesic, anti-inflammatory. Cestrum nocturnum is the most valuable drug which is used in compound preparation included in Ayurveda literature. From leaves to the roots, the whole Parijat plant is very useful for various healing properties. It is known to improve the function of insulin and reduce the symptoms of diabetes.

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Creative Commons Attribution 4.0 and The Open Definition

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Cestrum nocturnum Linn , Wound healing, Anti-cancer, Antioxidant, Analgesic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

False Job Prediction, Machine Learning, Data Mining.

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Creative Commons Attribution 4.0 and The Open Definition