Volume 12 | Issue 5 |

 Abstract

Abstract Indian English Literature paved way for many writers to create their own space of words and self expression. Self expression of emotions and feelings has created the genre of confession through the renowned female writer Kamala Das. Holding the ancestral traditional values and the modern equations of society Kamala Das made her writings more unique. This paper is an analysis of how Kamala portrayed herself being tackled in the clutches color in My Story.

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Keywords: Discrimination, color, humiliation, self expression, authority

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This study introduces an innovative approach to Flood Damage Assessment (FDA) by integrating advanced technologies, including Remote Sensing (RS), Geographic Information System (GIS), and a state-of-the-art neural network architecture. A custom-designed Convolutional Neural Network (CNN), incorporating a UNET with ResNet-34 as a backbone pretrained on the CIFAR-10 ImageNet model, plays a pivotal role in achieving accurate flood mapping. The utilization of transfer learning enhances the model's ability to discern intricate patterns from high-resolution satellite imagery, addressing challenges in complex landscapes. The proposed methodology, validated with diverse datasets from real-world flood events, demonstrates the effectiveness of the integrated neural network in improving disaster management strategies. This research significantly contributes to advancing flood damage assessment methodologies, showcasing the synergy of RS, GIS, and cutting-edge CNN architectures for timely and accurate disaster response and recovery.

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 Keywords

Flood Damage Assessment, Remote Sensing, Geographic Information System, Convolutional Neural Network, Transfer Learning, Satellite Imagery, Disaster Management.

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Orange peel, Osmotic dehydration, Water loss, Solid gain .

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As a foundational technology in the security net environment, detection of network intrusions has a great deal of attention and use. Network Intrusion Detection (NID) still has difficulties when it comes to installing on devices with limited resources, despite the tremendous efforts of research & advanced technologies. We provide a lightweight detection of intrusions technique based on knowledge of extraction is called Lightweight Neural Network (LNet), which strikes the balance between efficiency and accuracy by concurrently lowering computing costs and model storage. To be more precise, we stack DeepMax blocks to create the LNet after carefully designing the DeepMax blocks to extract compressed representation effectively. Additionally, in order to compensate for the lightweight network's performance decrease, we apply batchwise knowledge of oneself distillation to regularise training consistency. Our suggested Lightweight Neural Network (LNN) and XGboost methodology is shown to be successful on Allflowmeter_Hikari datasets through experiments

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Explainable Artificial Intelligence for Cyber Security

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Logistics especially cargo handling and import exports highly depend on internal and external transportation chains which are usually handled by human drivers and overseers or in recent developments by partially automated vehicles which has disadvantage of free thinking. Our project "intelligent carrier" is primarily aimed to automate cargo and luggage handling in airports at an affordable price such that it can also be implemented by storage handlers etc. This carrier follows prefixed and subsidiary paths for intelligent path selection and added ability to avoid obstacles. This robot is completely developed to be controlled by an external processing centre which is able to control multiple robot units. Its complete function is to position an airplane on its arrival and allot a robot carrier which travels along the mapped path with intelligent obstacle avoidance to reach predestined position based on closeness to the anchor location.

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carrier, anchor, processing center

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The Film-forming gels containing povidone iodine can create a protective barrier over the wound, promoting a moist environment conducive to healing while preventing infection. The experimental work done to carry out organoleptic properties, UV spectroscopy, FTIR study and melting point determination for drug determination and then trial batches were prepared for determining the concentration and selection various polymers. Based on that factorial batches were prepared and evaluation is performed. The povidone iodine gel was prepared using different ratios of PVA and PVP K-30, PEG 400 used as a plasticizer. Formulations (F1-F9) were prepared and evaluated for their physicochemical properties. Based on that 32 full factorial designs were applied to optimize the final formulation and check the impact of independent variables. The optimized (F6) Formulation (Ratio of PVA: PVP K-30 and PEG 400) exhibited % drug release 93.59% in 360 minutes. F6 formulation found stable for 1 month during stability study.

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Film forming gel, povidone iodine, antiseptic, wound healing.

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A wide spectrum of vitamin deficiencies can show one or more visually distinguishable symptoms and indications that appear in multiple locations in the human body. The application provides individuals with the capability to diagnose their possible vitamin deficiencies without the need to provide blood samples through the analysis of photos taken of their eyes, lips, tongue, and nails. This process is implemented using the deep learning based CNN algorithm. Here we have considered the dataset of eyes, lips, tongue and lips. Once after the consideration of dataset, the pre-processing is performed and then CNN algorithm is used to train the data. Once after the training, model is saved and the testing is performed using the dataset.

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-Vitamin deficiency, deep learning, CNN, dataset

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In the contemporary landscape, both insurance companies and customers (insurers) are increasingly motivated to secure the most advantageous deals, particularly in the realm of health insurance where the need for coverage is of paramount concern. Customers, in particular, exhibit a heightened sense of caution when evaluating health insurance options. Fuzzy logic is a computational approach that deals with uncertainty and imprecision, has emerged as a versatile solution across various real-world domains such as electronics, computer science, finance and medical science. This study offers a comprehensive exploration of the application of fuzzy sets methodologies within the field of actuarial science, focusing on health insurance risk assessment. It delves into the foundational mathematics underpinning fuzzy sets, providing a quick overview of their development and utilization. Moreover, the study demonstrates how fuzzy logic models can be effectively constructed and refined to adapt to changing rules and incorporate supplementary data, thus enhancing their predictive accuracy and practical utility. Here a model is presented, which is based on fuzzy expert system that will help the insurance companies to find out predictive modeling of health insurance premiums for cardiac patients using Fuzzy Inference Techniques. Through the application of fuzzy logic techniques, the study aims to derive actionable insights that can inform more informed decision-making processes in the realm of health insurance.

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Health insurance, Decision-making, Risk assessment, Predictive modeling, Policy evaluation.

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People in today's era usually have the tendency of using their own private vehicles for commutation rather than using public transit and this result in large number of private vehicles on road. It leads to traffic congestion at every roads. In such scenario one cannot restrict individual to limit the usage of their private vehicles but we can able to manage traffic flow in a way that it doesn't alleviate congestion issues. The traditional traffic management approach works efficiently only if the traffic is less, but if the density of vehicles on a particular side of road increases on one side than other side, this approach fails. Hence, we aim to redesign the traffic signal system from static switching to dynamic signal switching, which can perform instant-time signal monitoring and handling. There are many projects emerging in order to convert the current transport system of cities to 'Smart system', by introducing Intelligent Transport System. Many initiatives are taken to design a system that can perform instant monitoring of traffic signals i.e., the traffic signal switching time will depend on the count of vehicles on each side of the road instead of predefined switching time. The switching time of signal will be decided based on vehicle detection in day-to-day traffic scenarios with good accuracy. This practice can prove its effectiveness in releasing the congested traffic at an efficient and faster rate

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Intelligent traffic management system

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Diabetes mellitus is defined as the metabolic disorder of multiple etiology characterized by chronic hyperglycaemia with the alterations in carbohydrates, protein and fat metabolism resulting from defects in insulin secretion, action or both. Type 1 diabetes mellitus develops when the insulin secreting pancreatic beta cells of islets of Langerhans are destroyed. This is an auto immune type of system. The type II diabetes is due to insulin resistance, i.e a disorder in which the cells within the liver, muscles and fat tissues do not use insulin properly. WHO projects that from the total diabetes patients in the world, more than half will live in Asia by 2030 and type II diabetes alone particularly increases up to 55 % by 2035. The people in developing countries still depend on the traditional practitioners and herbal medicine for their primary care. The interest for the medicinal plants with anti-diabetic properties has been increased worldwide for the treatment of diabetes mellitus than the conventional anti-diabetic drugs such as biguanides, sulfonylurea and thiazolidine dione, which are presently available. The main aim of the work is to formulate and evaluate poly herbal anti diabetic tablets for medicinal purpose by using Gurmar and Neem leaf were collected from the local area, dried, powdered and extracted with ethanol separately and stored for further use.

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 Keywords

Diabetes mellitus, herbal plant, Gurmar, Neem.

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