Volume 11 | Issue 4 |

 Abstract

This research paper provides a comprehensive analysis of Jayadeva's G?ta Govinda, a lyrical composition in Sanskrit that describes the love between R?dh? and K???a. The paper explores the structure and themes of the poem, focusing on the use of various poetic devices and their effect on the reader. The research also delves into the historical and cultural context of the poem, highlighting its importance in the tradition of Indian classical poetry. Through close reading and critical analysis, the paper sheds light on the complex and multi-layered nature of the poem, and its significance in the study of Indian literature and culture. Ultimately, this paper aims to deepen our understanding of the G?ta Govinda, and its place in the rich and diverse landscape of Indian poetry. The Poetical Analysis of Jayadeva's G?ta Govinda examines the literary and poetic qualities of the renowned Indian poet Jayadeva's work, G?ta Govinda. The paper delves into the intricate metaphors, allusions, and symbolisms employed by Jayadeva in his compositions, highlighting their beauty and significance. The research also sheds light on the historical and cultural context in which Jayadeva wrote his poetry, providing a deeper understanding of his literary contributions. Through a thorough examination of Jayadeva's work, the paper provides valuable insights into the nature of Indian poetry and its rich cultural heritage.

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 Keywords

Jayadeva, ?r? G?tagovinda, poetic analysis, poetry, Sanskrit, Indian literature, devotional poetry, Hinduism, Vaishnavism, K???a, R?dh?, love, emotions, imagery, symbolism.

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Monoclonal antibodies (mAbs) are among the most important therapeutic protein types used to treat a variety of diseases (e.g., oncology, inflammation and autoimmune diseases). One major obstacle to the creation of novel antibodies is the identification of new pharmacological targets, yet monoclonal antibody technologies are still evolving to provide drugs with steadily better safety profiles. There are various prospects for producing subcutaneous formulations of antibodies, for example, to improve patient compliance, reduce costs, and control the lifespan of the drug. Nevertheless, Medication based on monoclonal antibodies has a few limitations that limit its therapeutic use. The major concerns are their short pharmacokinetic characteristics and stability problems during manufacture, transit, and storage that might result in protein aggregation and denaturation. Monoclonal antibodies (mAb) can be coupled to novel surface-functionalized cross-linked nanogels to achieve targeted drug delivery. In biomedical research, disease detection, and cancer and other types of disease treatment, monoclonal antibodies (mAb) are essential tools. A monoclonal antibody is an example of a mediator that can target nanoparticles with precision. Immune cells that produce only one kind of antibody, called monoclonal antibodies, are all clones of a single parent cell. It has a property obtained from myeloma cells, which allows it to continuously divide at the same time. A lung cancer nanoparticle targeted delivery method using a monoclonal antibody as a targeting mediator. Hybridoma technique refers to the production of monoclonal antibodies in artificial media using hybridomas that are selective for spleen and myeloma cells. They develop a hybrid cell that is capable of making several monoclonal antibodies against an antigen. Hybridoma technology is the method used to manufacture monoclonal antibodies. Due to the enormous no. of foreign substance present on the cancer cell surface , mAb are broadly used to transport nanoparticles which helps to improve therapeutic aiming to the cancerous cells.

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 Keywords

KEYWORDS; Monoclonal antibodies, Immunoglobulin's, Hybridoma technology, Glycoprotein.

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Companies must constantly integrate into a network of organisations in order to be more competitive. Businesses that ignore this challenge will inevitably lag behind their competitors. In this essay, we examine how supply chain management (SCM) and the internet interact. By responding to various inquiries, this paper will address the ideas around the impact of e-commerce on the supply chain and its potential future effects. The article first explored the many steps in the SCM process, including the transfer of information, goods, and money. The integration of internet shopping into SCM was then demonstrated in order to achieve a competitive edge in a fast-paced business environment. Results indicated that supply chains' physical, informational, and financial flows can be impacted by e-commerce.

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 Keywords

Supply chain management, E- commerce

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FDI is a prime source to maintain level of income and saving in Semi developed and developing countries. Continuous Growth is recorded in FDI in India after liberalization. Hence economy also grew faster. Foreign direct investment brings capital, skill and technology to country and encourages economic growth at highest level. In current scenario India is one of most open economic countries with regards to FDI. Started in 2014, Make in India program has continuously increased FDI. 25 sector has been connected to FDI under this program. In presented paper we will discuss FDI's meaning and need of FDI in India. We will also discuss its positive impact, negative impact and strong progress of FDI in India.

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Foreign Direct Investment, Technological advancement, Gross Domestic Product, unemployment.

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Nanotechnology is an exciting new area in science, with many possible applications in medicine. This article seeks to outline the role of different areas such as diagnosis of diseases, drug delivery, imaging, and so on Nanocrystals (NCs) are a class of solid dosage forms that take advantage of the drug's crystal structure and the nanoscience idea to improve solubility, dissolution, and physicochemical qualities. When compared to other solid dosage forms, NC frequently faces numerous difficulties with regard to physical stability and chemical stability during the storage and the production process. Thus, crucial steps in the development of NCs include consideration of the physicochemical characteristics of nanocrystals, their hazardous effects on humans, and their use in drug delivery via various routes of administration. To guarantee solid state homogeneity in the NCs and its effect on treatment effectiveness, a number of procedures are used.

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 Keywords

Nanotechnology , nanocrystals, nanomedicine, development , production process.

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 Abstract

A pothole is one of the major reasons for road accidents and loss of mortal life and property. Potholes are imminent on roads and their presence compromises the security of both motorists and climbers. There's one death every 4 twinkles thanks to road accidents in India. One of the main reasons for these road accidents to be is poor road conditions in India. In numerous countries also as in pastoral areas, the drivable areas are neither well-defined nor well-maintained. It's a grueling task for the megacity to command across the megacity to check the condition of the roads. People constantly complain about bad roads but haven't any way to descry or report them at scale. To attack this problem, we'll be mounting a camera connected to a jeer pi, onto a vehicle. This camera goes to capture the image of the road in front of the vehicle. An onboard object discovery model is going to be run on the input images from the camera for detecting any road distortions like potholes, cracks, or routines. When the model detects any relatively of distortion on the road, the latitude and longitude of that position will be incontinently logged into an onboard or online database A GPStype module can be used to descry the lat long coordinates. This information can also be passed on to the communal authorities with proper visualizations on a 2D chart, which may be helpful for the construction workers to directly go to the position and do the necessary form workshop, which suggests workers can spend lower time chancing potholes and further time fixing them.

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 Keywords

Potholes, CNN, images, neural network, Roads, Classification

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In compared to its analogue predecessors, the digital IP video system offers a wide range of features and capabilities, but it still faces significant difficulties in the creation and implementation of intelligent and efficient systems. This initiative aims to satisfy the rising need for automated analysis and comprehension of human behaviour. The presentation of a real-time human activity identification system built on global feature extractions. The suggested method calculates an image's characteristics from video sequences. The goal is to combine local and global properties to create a powerful real-time recognition system. We utilise the UT Dataset, which includes the following actions: embracing, handshakes, kicking, punching, and pushing. Convolution neural networks (CNN) are used to instantly identify various human actions. Similar videos based on action recognized in input videos are retrieved from the dataset as output.

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 Keywords

Analysis, Action recognition, Machine learning, Camera Storage, Object detection.

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 Abstract

Security is a major issue in Automated Teller Machine (ATM). With the widespread utilization of electronic transactions, it is necessary to increase customers' recognition accuracy. Biometric systems can offer a secure mode of authentication to the customers. An Automatic Teller Machine (ATM) is an electronic machine which is used for accessing a bank account from anywhere without the help of bank staff. The user can perform several banking activities like cash withdrawal, money transfer, and print entry in a passbook with the help of an ATM. Since the number of crime related to ATMs has increased, the need to provide better security to ATMs has also increased. Some of the different technologies that are used to provide security to ATMs include - Biometric technology, RFID technology, etc. Biometric technology includes fingerprint and face recognition systems. In this paper, a survey of different technologies for ATM security is presented. There are some limitations to these technologies. By comparing various technologies, it is observed that fingerprint technology provides better security than other technologies. In this project, we used MatLab for face recognition. The 1st stage is face recognition. If face recognition is done successfully then RFID is activated. If they read the right string then they can get atm access otherwise the buzzer will go on. Nowadays the banking sector is one of the most important parts of a human's day-to-day life. Banking facilities are widely used by people for their economic activities.Due to the intermediary role of banks in the economy, they hold a unique locus across all sectors with prudent lending policies, environmental impact analysis, and efficient credit approval systems. The banks play a vital role in the lending process which is dispatched along with the credit risk, that is, when the borrower fails to repay the money borrowed and fails to satisfy the obligations, then the asset is said to be bad or Non-performing. A poor financial performance in an economy creates distress in the economic stability leading to an economic crisis. With the global initiatives undertaken, the Reserve Bank of India (RBI) developed the Banking Stability Map and published the Financial Stability Report in 2010. It is measured using five dimensions of the Stability Map, which are, Soundness(s), Asset Quality (Q), Profitability (P), Liquidity (L), and Efficiency (E).With the deteriorating asset quality and the financial health of banking institutions, lack of adequate fund and pressure of capital regulation makes the balance of stability in the Indian banking sector a challenge.

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 Keywords

ATM, Bank, Face recognition, Block Diagram of atm and banking, OTP, PIN, privacy and identity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the most part, the picture upgrade method works on the visual nature of the inferior quality low-light pictures. It upholds further undeniable level PC vision errands to remove significant data from the caught pictures. Low-light pictures commonly experience the ill effects of two issues. To begin with, they have low perceivability (i.e., little pixel values). Second, commotion becomes huge and disturbs the picture content, because of low signal-to-noise proportion. Most existing low light picture upgrade strategies, be that as it may, gain from noise-negligible irrelevant datasets. Image enhancement is the most basic advances used to control a picture, so the outcome is more satisfactory than the first picture, with a pursue saving everything about, the field of digital image processing. With the popularity of PC visual innovation, advanced digital image processing ideas have been quickly utilized in numerous genuine applications for data gathering, for example, modern creations, clinical pictures, video observing, clever transportations, and so on. Notwithstanding, picture caught under low light has a few issues to such an extent that it might contains commotion, goes through variety bending and furthermore may goes through with some data misfortune. Again, industry like clinical and satellite we can't manage the cost of single data to be miss, for to the point that reason low light image enhancement is a must require idea for current arising world. Here in this paper, we examine various techniques for picture upgrade and their outcome, predominantly this paper centre around making a user interface to get a quick result of an input image to an enhanced image.

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 Keywords

Dark Image, Retinex, Single Scale Retinex, Multi Scale Retinex, Multi Scale Retinex with Colour Restoration, Gaussian blur, Log transformation, Enhanced Image.

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 Abstract

A huge amount of electrical power of many countries is consumed in lighting the streets. However, vehicles pass with very low rate in specific periods of time and parts of the streets are not occupied by vehicles over time. The system that automatically switches off the light for the parts of the street having no vehicles and turns on the light for these parts once there are some vehicles that are going to come. Logically, this system may save a large amount of the electrical power. In addition, it may increase the lifetime of the lamps. This system automatically controls and monitors the light of the streets. It can light only the parts that have vehicles and help on the maintenance of the lighting equipment's. Conventional street lighting system in areas with a low frequency of passerby are online most of the night without purpose. The consequence is that a large amount of power is wasted meaninglessly. The purpose of this work is to describe the intelligent street lighting (ISL) system, an approach to accomplish the demand for flexible public lighting system. The present system is like, the street lights will be switched on in the evening before the sun sets and they are switched off the next day morning after there is sufficient light on the roads. This System gives the best solution for electrical power wastage. Also, the manual operations of the lighting system are completely eliminated. In this project, sensor used are, light dependent Resistor (LDR) to indicate a day/night time and the photoelectric sensors to detect the movement on the street. Result show that the saved energy may reach up to 65% and an increase of the lifetime of the lamps of 53%. The used as brain to control the street light system

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 Keywords

IOT , Sensor , Street lights and Arduino

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Creative Commons Attribution 4.0 and The Open Definition