Volume 11 | Issue 5 |

 Abstract

In distributed environment, load balancing is necessary for effective functioning. Load balancing for the cloud has developed into a very fascinating and significant study subject as a result of the rapid growth of cloud computing and the clients' increase need for more services and better outcomes. To create effective processes and algorithms for allocating the client's requests to accessible Cloud nodes, numerous techniques have been proposed. These methods seek to improve the Cloud's general performance while giving users better, more effective services. In this article, we examine the various strategies put out to address the load balancing and work scheduling issues in cloud computing. In order to give a comprehensive review of the most recent methods in the field, we discuss about and contrast various algorithms, particularly hybrid algorithms.

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 Keywords

Cloud Computing, Load Balancing, Task Scheduling, Cloud Storage, Replications.

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 Abstract

: A study was conducted by using the descriptive designs with 80 B.Sc. nursing students were selected by probability convenience sampling technique. They were assessed for the level of knowledge regarding organ donation by structured questionnaire and level of attitude regarding donation by 5 point likert scale. In majority of students 56.3% (45) are having moderate level of knowledge, 28.7% (23) were having adequate level of knowledge and 15 % (12) were having inadequate level of knowledge regarding organ donation. And also majority 86.25% (69) were having moderate favourable level of attitude about organ donation, 12.5% (10) were having favourable level of attitude and 1.25% (1) was having unfavourable level of attitude towards organ donation

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 Keywords

Knowledge, Attitude, organ donation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tax planning helps in the reduction of tax amount and helps in utilizing the various reliefs, deductions, exemptions and rebates as per the IT Act, 1961. Tax-saving is an important part of financial planning. Tax planning is the process of analyzing a financial plan or a situation from a tax perspective. With the help of tax planning, one can ensure that all elements of a financial plan can function together with maximum tax-efficiency. Tax Saving Instrument involves selection of the right kind of instruments / schemes with an aim of maximizing returns. The decision regarding the type of instrument depends upon the risk taking capabilities of individuals. Although there are various tax-saving instrument plans available in the market. People often get confused about which plan best suits them. In order to make you choose the best instrument plan for you depending on your risk appetite and preferences. The purpose of the study was to know the awareness level and perception on the Tax saving instruments and to determine the tax-saving instrument options which are preferred to save tax reason for preference of Instrument. This study also aims to know the most suitable and popular tax saving instrument used by salaried Individuals. Descriptive statistics used to analyze the data collected randomly through the 110 respondents from Bengaluru City. Both Primary and Secondary Data Used in this study. Data Collected were analyzed by using frequency and percentages and findings are interpreted accordingly.

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 Keywords

Income Tax, Tax saving instrument, Awareness and Perception, Tax Planning.

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 Abstract

The goal of this study is to streamline the identification and diagnosis of Haemoprotozoan diseases in cattle using machine learning algorithms to develop a model from a dataset of images and diagnoses gathered from local laboratories. The research is centered around three major Haemoprotozoan diseases, which are widespread and dangerous to cattle throughout India: Anaplasmosis, Babesiosis, and Theileriosis. The resulting model has been designed to operate on a hosted client-server web application, with a picture of the bloodstream sample transmitted to the server, which returns two parameters indicating whether the diagnosis is positive or negative and the type of disease. This has the potential to lower mortality rates by making the process quicker and more cost-effective. The model has been thoroughly tested and evaluated during the training and testing phases, with an emphasis on accuracy, speed, and cost-effectiveness. The ultimate model will be hosted on the client-server web application online, so that it can be used anywhere.

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 Keywords

Neural Networks, Image preprocessing, Keras, Softmax, Streamlit, Convolution.

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The Virtual Museum Android App is a mobile application designed to provide an immersive museum experience to users. Users can explore the virtual museum by navigating through different galleries and exhibits, interacting with objects, and learning about their history and significance. The app also includes audio and visual guides, as well as educational resources, to enhance the user's learning experience. The app would use graphical modelling and augmented reality technology to create a realistic and interactive environment for users to explore.

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 Keywords

virtual museum, museum, books, educational purpose, audio guidelines

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: -- The Main Objective of this research paper is to find out the early stage of lung cancer and explore the accuracy levels of various machine learning algorithms. After a systematic literature study, we found out that some classifiers have low accuracy and some are higher accuracy but difficult to reached nearer of 100%. Low accuracy and high implementation cost due to improper dealing with DICOM images. For medical image processing many different types of images are used but Computer Tomography (CT) scans are generally preferred because of less noise. Deep learning is proven to be the best method for medical image processing, lung nodule detection and classification, feature extraction and lung cancer stage prediction. In the first stage of this system used image processing techniques to extract lung regions. The segmentation is done using K Means. The features are extracted from the segmented images and the classification are done using various machine learning algorithm. The performances of the proposed approaches are evaluated based on their accuracy, sensitivity, specificity and classification time.

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 Keywords

Structural Co-occurrence Matrix (SCM), Classifier, Data Set, ROC curve, Malignant nodule, Benign nodule.

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Malware detection is a very important factor in security of internet oriented machines. The combination of different features is used for dynamic malware analysis. The different combinations are generated from APIs, Summary Information, DLL and Registry Keys Changed. Cuckoo sandbox is used for dynamic malware analysis, which is customizable, and provides good accuracy. More than 2300 features are extracted from dynamic analysis of malware and 92 features are extracted statically from binary malware using PEFILE. We used machine learning to discover different types of windows malwares. The dataset used to train the model has static and dynamic analysis of different programs. According to the data every one program was labeled as humanely or malware. There are 6 types of malwares in total: Backdoor, Trojan, Trojan Downloader, Trojan Dropper, Virus, and Worm. Static features are extracting from 39000 hateful binaries and 10000 benign files. Dynamically 800 humanely files and 2200 malware files are analyzed in Cuckoo Sandbox and 2300 features are extracted. The precision of dynamic malware analysis is 94.64% while static analysis precision is 99.36%. The dynamic malware analysis is not effective due to tricky and intelligent behaviors of malwares. The dynamic analysis has some restrictions due to controlled network behavior and it cannot be analyzed completely due to limited access of network.

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API, DLL, Registry Key, Static and Dynamic analysis

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: The primary objective of this project is to design and implement a device to aid visually impaired individuals in navigating their surroundings with enhanced confidence and ease. The proposed device aims to alleviate some of the common challenges that visually impaired individuals face while walking. The project intends to mitigate the significant travel-related difficulties faced by visually impaired individuals, which arise due to their restricted ability to gather and interpret visual information. This lack of awareness about their surroundings makes it challenging to navigate both indoor and outdoor environments and increases their risk of accidents and injuries. "There are approximately 37 million people across the globe who are blind according the (WHO) World Health Organization [1]." And if talking about numbers of blind people in India, then "one out of every three blind people in world is Indian i.e., estimated 15 million blind people love in India [2]." Thus, the project aims to develop an All-In-One device that would provide as a guidance to the blind people. The paper focusses on constructing a device for visually impaired (or blind) people that would support them to travel independently. The Technology introduced in the paper serves as a solution for visual impaired people that alerts them over obstacles coming between their ways, alerting for any fluid or moisture in the path and even tracking and sending the location of user and also other functionalities that make it fully smart.

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Keywords-- Visually impaired, Smart shoes, Sensors, Guidance device, Obstacle detection, Fluid or water detection, Location tracking, Smart device, Assistive technology, Arduino, Blind Navigation system, wireless.

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Objectives: To find effectiveness of proprioceptive training exercises in upper extremity on reaction time in batsmen by using ruler drop test after 3 weeks Methods:An experimental study was performed from Oct22 to April 23 A convenient sampling technique was applied to select 38 samples Results: Paired t test was done The result obtained for upper extremity proprioceptive training exercises on reaction time in batsmen by Rular drop test suggests significnce as P value obtained was (<0.0001) Conclusion: According to results it can be concluded that proprioceptive exercise training for upper extremity shows significantly beneficial in improving reaction time in batsmen.

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Batsmen, Reaction time, proprioceptive exercises, ruler drop test

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Creative Commons Attribution 4.0 and The Open Definition

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Tridosha theory is the foundation of Ayurvedic science. One of the three doshas, called Pitta, is very important for digestion and metabolism. There are five different varieties of pitta dosha: Pachaka, Ranjaka, Alochaka, Bhrajaka, and Sadhaka. Food digestion, Sara and Kitta's Vibhajan, and feeding the Agneya component of Pitta, which is distributed throughout the body, are all tasks carried out by the Pachaka Pitta. It also goes by the name Jatharagni. After aiding in food digestion, this Agni form Pitta divides the Sara and Kitta Bhaga. Due to its position, it nourishes and gives Pitta power to relax. It is amply demonstrated in our book that Pachaka Pitta is accountable for Aahar Pachan. On the other hand, modern science has established via numerous research that several digestive fluids are responsible for food digestion. All digestive enzymes, such as amylolytic, proteolytic, and lipolytic enzymes, can be compared to pachaka pitta, as suggested by the functions of this substance. The goals of digestive enzymes, gastrointestinal hormones, and local hormones can be linked to the actions of Pachaka Pitta.

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Pachaka, Pitta, Shareera, Kriya, Digestive Enzymes.

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