Volume 11 | Issue 5 |

 Abstract

Accounting means maintaining records of usage of natural resources by organization in the process of development of business and to increase revenue. In the race of earning more and more, organization do overuse of resources which cause depletion of natural resources. People thinks, we have unlimited resources but we don't have. Resources are scarce, so organization should use it in right manner. Because of this practice of organization, green accounting like term emerged. Govt. had taken action after Stockholm conference 1972.govt. had taken more focuses on this after Bhopal gas tragedy. Govt. made various act for this and make some parameters to follow them to record them and ensure sustainability. We are lacking in implementation of these act. All businesses adhere to them in accordance with their wishes. It must faithfully abide by them, not only make laws. The only way to guarantee sustainability is in this way.

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 Keywords

Scarce natural resources, Sustainability, implementation of law, environmental reporting.

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 Abstract

Financial organisations, merchants, and cardholders are all concerned about credit card fraud. Various approaches and techniques have been developed and applied to reduce the dangers associated with fraudulent activity. The purpose of this literature review is to provide an overview of current research and achievements in credit card fraud detection. It discusses the primary approaches, algorithms, and datasets utilised in this discipline, emphasising the advantages and disadvantages of each approach. In addition, the paper analyses new trends, difficulties, and future perspectives for credit card fraud detection.

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 Keywords

Machine Learning, Fraud Detection, Auto-encoder, restricted Boltzmann algorithm

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 Abstract

In today's world, signatures are crucial for authentication and authorization in various fields. However, people may forget their signature or make mistakes while processing it. Therefore, there is a growing need for automated solutions for live person verification. Unlike traditional identification methods such as passwords, PINs, or key cards, which can be forgotten or stolen, facial features are unique to individuals and cannot be easily replicated. Live camera 3D liveliness detection technology can enhance the pictorial information of a facial image to enable human interpretation and autonomous machine perception. Digital image verification involves converting an image into an array of small integers known as pixels and processing it using computer hardware. Edge detection is an essential task in image processing because it characterizes boundaries. This project aims to simplify and improve 3D liveliness detection using advanced technologies such as artificial intelligence and machine learning to prevent illegal activities.

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 Keywords

machines learning, image processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Simple, rapid, economical, precise and accurate method to identify actual % drug release of Triamcinolone Hexacetonide form its pharmaceutical dosage form has been developed. The reverse phase HPLC method was selected and developed for the identifying to its simplicity, suitability, ruggedness and its wider usage. The final chromatographic condition was achieved column Xselect CBH C18 (150 mm x 4.6 mm ID, 5 ? particle size) ,20 mM phosphate buffer: Methanol (20:80) as mobile phase, at a flow rate of 1.2 ml/min. Detection was carried out at 238 nm retention time of Triamcinolone Hexacetonide is 10 min. Dissolution medium that has a similar pH to the small intestine, dissolution testing can better simulate the in vivo conditions under which the drug will be absorbed. Therefore, based on pH dependent solubility testing, 6.8 pH phosphate buffer was used as dissolution medium for the trials by using USP type II apparatus. Linearity observed for Triamcinolone Hexacetonide is 0.99944. At 60 min time interval %drug release is 88.7 so we can conclude that developed method was found to be accurate, precise and rapid.

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 Keywords

Triamcinolne Hexacetonide, dissolution media, RP- HPLC method, phosphate buffer, Dissolution study, type II apparatus, validation

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 Abstract

The protection of farms from animal intrusions is a critical concern for farmers worldwide. Conventional methods of farm protection often fall short in providing effective and efficient solutions. However, recent advancements in deep learning techniques offer a promising approach to mitigate these challenges. Deep learning, a subset of artificial intelligence, involves training neural networks on extensive datasets to recognize patterns and make intelligent decisions. By harnessing the power of deep learning algorithms, farmers can develop sophisticated systems that detect, classify, and deter animal intrusions, safeguarding their crops and livestock. This abstract provides a concise overview of how deep learning can revolutionize farm protection from animals, highlighting its applications in detection, classification, behavior analysis, and predictive analytics. Additionally, it emphasizes the benefits of intelligent deterrence systems driven by deep learning algorithms. The integration of deep learning into farm protection practices has the potential to enhance agricultural security, reduce losses, and ensure sustainable productivity in an increasingly challenging environment.

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 Keywords

Image Processing, Deep learning, Wild animals attack, Crop protection, Animal detection, Classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Maharashtra has a rich history. It will not be wrong to say that this history is the source of various mantras for us to live. One of the stories in the rich history of Maharashtra is the 'Nal-Damayanti' story. In this story, the love story of 'Nal' and 'Damayanti' was consummated by a supernatural swan. By comparing this supernatural swan with the communication systems of today's mechanical world and science age, this research paper presents the study of how human life can be enriched with relationships by strengthening the bonds that are weakened due to a lack of communication.

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 Keywords

Nal, Damayanti, Swan, Communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture in India is a very important occupation. The percentage of people involved in agriculture in this country is 65% of the total population. It is the only major occupation vital in providing food security to the entire nation. In this agricultural land of India, seed sowing is a very important aspect in the cultivation of crops. The type of seed is significant according to the type of soil, weather conditions and the kind of location. Seed germination and growth are majorly dependent on the type of seed, its diameter and planting depth of the seed. So in consideration of these aspects, seed sowing machine plays an important role in sowing seeds with the optimum depth of plantation and type of the crop. Seed sowing machine reduces the time and effort in cultivation of the crops. There may be single or multiple crops according to the type of soil and kind of location. Hence in order to sow the seeds in agriculture field for multiple crops, a capable and efficient seed sowing machine is a mandatory. Hence, our project is focused towards the manufacturing of seed sowing machine for inter crop fields. The proper fabrication of the seed sowing machine is completed to ensure the sowing of right amount of seed for two types of crop in the agricultural field. This seed sowing machine has also a provision to sow the seeds with correct inter spacing between the lines of planting of crops. The diameters of the holes through which two types of seeds were machined accurately to make sure the right release of seeds at a specific location. This machine also fulfills an important function of ploughing of the soil and covering of the seeds with the soil after sowing.

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 Keywords

SEED SOWING ROBOT

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 Abstract

The present study was to find out the effect of two methods of circuit training combined with asanas and pranayama practice on cardiorespiratory endurance and body mass index of school girlsThe study was formulated as a true random group design, consisting of a pre test and post test. The subjects (n=60) were randomly assigned to three equal groups of twenty school girls in each group. The groups were assigned as Experimental Groups I, II, and control group respectively. Experimental group I was assigned as Continuous Method Circuit Training with Asana and Pranayama Group (CMCTAP), experimental group II was assigned as Interval Method Circuit Training with Asana and Pranayama Group (IMCTAP) and the control group was strictly under control not involving any special training. Pre tests were conducted for all the subjects on Cardio respiratory Endurance and Body Mass Index. The experimental groups participated in their respective training protocols for a period of twelve weeks. After the experimental period, the post tests were conducted on the above said dependent variables for all the three groups. The difference between the initial and final scores on each variable was considered the effect of respective treatments. The effects of CMCTAP, IMCTAP on selected variables were tested through ANCOVA. In all cases 0.05 level was fixed to test the hypothesis.

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 Keywords

Cardio respiratory Endurance and Body Mass Index

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sustainable Development Goals can be achieve through high standards of governance at all levels The Indian Federalism may be one of the most interesting categorization in the world. characterised as it is by a contradiction to begin with that of being a "centralized federalism" But, in the courage of cooperative federalism, the levels of the government ie. Centre and State have joined hands to bright about the change that India needs NITI Aayog has two goals to oversee the adoption and monitoring of the SDGs in the country, and also promote competitive and cooperative federalism among Centre and State. When we talk about Indian public health system is considered to be a crucial factor for the social, economic and overall development of the country SDG3 is also talking about the public health system and it should be attain through 2030. But the Covid-19 pandemic turned our country upside down which is earlier also not performing upto the mark. This pandemic revealed how vulnerable it affects the life, health systems work and economies. Those already are marginalized or not it affected all to this pandemic because lacking of quality and essential heath care services and its management by the Centre mud State Government. They are affected by both the virus and the secondary effects Le the health system of our country. In this Covid-19 pandemic people are also affected by the policies which are not making coordination between the Centre and State. Both primary and secondary data are used the study through this research paper reader is able to know the need of cooperative federalism to proper functioning of public health care system.

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 Keywords

Centralized Federalism, Competitive Federalism. Cooperative Federalism, Federalism, NITI Aayog. Pandemic, Public health care system, Sustainable Development Goals.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The number of vehicles has increased proportionally over the last couple of times and this number is rising due to the increase in population extension and the number of vehicles that are manufactured every day. The high business viscosity leads to several problems, from which effectively propagating emergency messages is a major concern. VANETs (Vehicular Ad-hoc Networks), it is a vehicle networks of digital communication between cars, trucks, and also roadside units like antennas & buildings. In VANETs, significant challenges are faced, while disseminating the message across the network. The major challenges are the broadcast storm problem, hidden node problem, and packet collisions. We propose an Effective Emergency Message Dissemination Scheme (EEMDS) for urban VANETs. The scheme is grounded on our mobility metrics to escape communication outflow and to maintain the stability of the cluster structure. Every vehicle takes into account its direction and path loss factor for opting appropriate cluster head. Also, we introduce estimated link stability to choose a suitable dependent vehicle (an intermediary that communicates between multiple clusters) that reduces the number of retransmits and communication traffic in the network. Simulation results covey that NEMDS provides an acceptable end-to-end detention, information coverage, & packet delivery ratio compared to the eminent Emergency Messages dissemination schemes.

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 Keywords

broadcast, clustering, emergency message dissemination, VANET, priority, SDN.

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Creative Commons Attribution 4.0 and The Open Definition