Volume 11 | Issue 10 |

 Abstract

Alzheimer's complaint (announcement) is related to cognitive impairment, madness observed generally in aged population due to neurodegeneration in an ongoing manner. It gradationally worsens memory power of the case. The hallmark opinion features include conformation of senile pillars and Neurofibrillary be fuddlements (NFT'S). Too little vacuity of Acetyl choline (ACh) a neurotransmitter in the cerebral region due to metabolism by an enzyme Acetyl choline esterase before showing its action and neural death are the primary reasons for announcement. There are numerous orders of Anti-Alzheimer's medicines available for operation of announcement in the request but due to lack of patient compliance successful issues weren't observed. piecemeal from this including Nutraceuticals in diet diurnal routine, Aromatherapy, variations in the regular schedule, rehearsing yoga regularly relaxes mind and body from pressures, wakefulness, blood rotation, detoxification of organs due to metrical breathings and reduce frequency of prevalence of headache are proven to show stylish results by relieving stress according to check. At present herbal drug has turn out to be stylish choice for the operation of announcement because of its vacuity, veritably profitable, good case compliance, ease of expression and lower injurious side goods. new ways can be used for the development of herbal drug. This review completely discuses about the circumstance of announcement, its Pathophysiology, different stages in the complaint, colorful picky remedial targets for announcement, available Anti AD herbal medicines similar as Curcumin, Withania somnifera, Bhrami, Ginkgo biloba, guggul, ginseng, sauces with essential canvases, unpredictable canvases, source and civilization of the sauces, medium of action of the Phytochemicals in the condiment responsible for treating announcement.

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 Keywords

Alzheimer's Disease, Dementia, Treatments, Herbal Medicine, Cognitive Impairment

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Rice, also known as Oryza sativa in whatever form, is one of the main staple crops farmed in India and is a common food in many developing nations where Hidden hunger is a problem. This Review Paper Addresses that it presents a special chance to boost nutrition through the fortification of rice. A type of rice that has been upgraded with added nutrients to address nutritional deficiencies in a particular population is referred to as fortified rice, also known as bio-fortified rice or enriched rice.Rice is one of the most extensively consumed foods in the world and is a staple in many cuisines all over the world. It can account for up to 70% of a person's daily calorie consumption in low-income countries. Despite being an energy source, it is a poor supplier of micronutrients and has little nutritional value overall outside carbohydrates and proteins. The widespread consumption of rice presents an opportunity to narrow the nutritional gap in rice-eating populations through enhancing the nutritional value of rice. Through post-harvest fortification of rice, a wide range of vitamins, minerals, and other nutrients, including amino acids and fibers, can be added. The Indian government is also intrigued by this. In order to successfully combat malnutrition and encourage sustainable development

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 Keywords

Oryza sativa , Staple crops, Hidden hunger, Fortified Rice, Malnutrition, Sustainable development

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 Abstract

Fire incident is a disaster that can potentially cause the loss of life, property damage and permanent disability to the affected victim. They can also suffer from prolonged psychological and trauma. Fire fighters are primarily tasked to handle fire incidents, but they are often exposed to higher risks when extinguishing fire, especially in hazardous environments such as in nuclear power plant, petroleum refineries and gas tanks. They are also faced with other difficulties, particularly if fire occurs in narrow and restricted places, as it is necessary to explore the ruins of buildings and obstacles to extinguish the fire and save the victim. With high barriers and risks in fire extinguishment operations, technological innovations can be utilized to assist firefighting. Therefore, the development of a firefighting robot can extinguish fire without the need for fire fighters to be exposed to unnecessary danger.In this project, Robot is designed to be compact in size than other conventional fire-fighting robot in order to ease small location entry for deeper reach of extinguishing fire in narrow space. Robot is also equipped with a IR Obstacle Sensor is attached for fire detection. This resulted in Robo demonstrating capabilities of identifying fire locations automatically and ability to extinguish fire remotely at particular distance.

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Fire Incident, IR Obstacle Sensor,Robot,Fire-Flighting Robot,Hazardous Environments.

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The identification of fake Indian currency is a critical task in ensuring the integrity of financial transactions and preventing counterfeit currency from circulating in the economy. In this project an image processing-based method for the identification of fake Indian currency was proposed. The goal is to develop a system that can accurately differentiate genuine currency notes from counterfeit ones based on their visual characteristics. The image processing-based approach leverages the power of image processing algorithms to analyze various security features embedded in Indian currency notes, such as watermarks, security threads, microprinting, and other intricate patterns. The image processing pipeline involves preprocessing the input currency image, extracting relevant features, and applying classification techniques to make the authenticity determination

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 Keywords

Fake Indian Currency,Financial Transactions, Pre-Processing,Security Threads.

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The objective of the system is to train a fully CNN (convolutional neural network) with semantic segmentation of an image and video from a front-facing camera in a car. Self-driving cars are the next generation cars which work with sensors like radar, ultrasonic and LiDAR. So, the efficiency of these sensors is important to avoid any unnatural problems like accidents or deaths. The proposed system uses semantic segmentation to process the image classifying as each pixel to a label, extracts the image features and gives color-coding to each object. The system is implemented through an algorithm of convolutional neural network (encoder-decoder architecture with skip connections) with semantic segmentation, by using Cityscape's dataset a very famous set of images for benchmarking semantic segmentation algorithms. There are about 30 datasets, such as road, car, building, traffic sign, person, etc. As the future is dependent on autonomous systems like self-driving cars, drones, and robotic navigation, it is important for the system to identify road signals, traffic lights, vehicles, people, buildings, road signs and label them. The system prompts proper navigation of the roads to reduce accidents.

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 Keywords

Convolution Neural Networks, Semantic Segmentation ,Encoder-Decoder, Cityscape's Dataset, Self-Driving Cars

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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This paper introduces the implementation of recommending music recommending based on the user emotion recognition. Automatic Emotion Recognition is one of important feature extraction system in advanced deep learning where it can extract the features of face based on Haar Cascades and Convolution Neural Networks (CNN).For extraction of features from face a proper training model model is required for better prediction. In this paper, an automatic face recognition system via deep learning methodologies with music automatic recommendation system to play a music as per the emotion predicted by the machine like (Happy, Angry, Surprise, Sad etc). As per the emotion music will be recommended.Facial expressions are captured by a web camera in our device. Here we use CNN algorithm for the recognition of the feature from the captured image. Thus, the proposed system is based on the emotion detection the music will be recommended to the customer.

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 Keywords

Convolution Neural Networks, Haar Cascades, Deep Learning, Emotion Recognition, Facial Expressions.

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 Abstract

Investment in mutual funds is very important issues in the present time due to the increasing inflation rate in India. This investment is not tough for the investor in the long term period in the Indian financial markets. It will be simple for long term investment directly in Indian financial market on the basis of some metrics in the large cap equity mutual funds, in the maximum case, investment on the basis of metrics, the mutual funds gives hand some return for the long term investment. In this paper, Alpha, Beta, Standard deviation and Sharpe ratio are taken to identify the large cap equity mutual fund, whose returns are better in the long term investment period. Higher the ratio of Alpha, Beta, Standard deviation and Sharpe of mutual funds, have the more chances to give the higher return on large cap equity mutual fund in Indian financial market.

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 Keywords

Metrics, Alpha, Beta, Standard Deviation, Sharpe, Lump Sum

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 Abstract

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 Abstract

War is an extraordinary furnished struggle between states, legislatures, social orders, or paramilitary gatherings. It is for the most part portrayed by outrageous brutality, obliteration, and mortality, utilizing customary or sporadic military powers. One has just to think back to the devastation to appraise the horrendous impacts of war. In all ages, war has been a significant subject of examination. It has prompted a considerable number of slaughters and has shown us the malevolent that exists inside the spirits of humankind. With the episode of WWI, the present day emergency go into another stage. Powers which had laid dorment since the renaissance started to obliterate and change the design of the general public. WWI brought to public notification many poets, especially among the young fellows in the military. Simultaneously, it gave another wellspring of motivation for authors to lay out standing. A considerable lot of youthful writers were killed or passed on in the battle and it is difficult to gauge the misfortune endured by English verse because of their demise. Throughout history, war has been a problem for humanity and has left both winners and losers with permanent scars. The effects of war are sweeping, including each part of human life. One of the quickest results is the lack of lives. Fighters and regular people, the same, succumb to the persevering savagery of war, leaving families broken and networks deprived of their friends and family.

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 Keywords

struggle, brutality, obliteration, sweeping, first world war, broke, deprived.

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Creative Commons Attribution 4.0 and The Open Definition