Volume 11 | Issue 4 |

 Abstract

The nature of stock market movement has always been ambiguous for investors because of various influential factors. This study aims to significantly reduce the risk of trend prediction with machine learning algorithms. Four stock market groups, namely diversified financial, petroleum, non-metallic minerals and basic metals, are chosen for experimental evaluations. This study compares Three machine learning Linear Regression, Random Forest and KNN algorithm.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stock Market Prediction, Machine Learning Algorithm, K-Nearest algorithm, Linear Regression, Random Forest algorithm, RMSA, MSE, R-Squared

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Online education refers to the use of digital technology to deliver educational content and instruction remotely over the internet. With the widespread availability of the internet, online education has become increasingly popular as a way to access education from anywhere, at any time. Online education offers several advantages over traditional in-person learning, including greater flexibility, accessibility, and convenience. Additionally, online education can be more cost-effective than traditional education, with reduced tuition fees and lower transportation costs. However, there are also some potential disadvantages to online education, such as the lack of face-to-face interaction with instructors and peers, the need for self-discipline and motivation, and concerns about the quality of online instruction. Despite these challenges, online education continues to grow in popularity and importance, with many educational institutions and organizations now offering online courses, degree programs, and training modules to learners around the world. Online education also poses some challenges, including the need for learners to be self-motivated and disciplined in their learning, and concerns about the quality and rigor of online instruction. Additionally, online education can exacerbate existing inequalities, as learners in low-income or rural areas may not have access to the necessary technology and internet connectivity. Despite these challenges, online education has the potential to transform education and training, making learning more accessible and inclusive. It is important for educators and institutions to continue to innovate and adapt to meet the needs of diverse learners in the digital age. This may involve new approaches to instructional design, the use of emerging technologies, and a focus on promoting equity and access in online education.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: Online education, e- learning, classroom based education, Potential

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For Area-efficient VLSI architecture a Two-operand binary adder is designed where in which area is more and speed of operation is low, because of these limitations a new architecture with Three-operand binary adder logic is to be designed instead of previous architecture which performs 3-9 times faster than the previous architecture. Three-operand binary adder is the basic functional unit to perform the modular arithmetic and various Cryptography and Pseudorandom Bit Generator (PRBG) algorithm. Carry save adder (CS3A) is widely used technique to perform the Three-operand binary adder. However the ripple-carry stage in CS3A leads to a high propagation delay. Moreover a parallel prefix Two-operand binary adder such as Han-Carlson (HCA) can also be used for Three-operand addition that significantly reduces the critical path delay a cost of additional hardware. Three-operand binary addition significantly decreases area and power consumption. Hence a new High-speed and Area efficient adder architecture is proposed using pre-compute bitwise addition followed by carry prefix computation logic to perform the Three-operand binary addition. With this Logic a new architecture is to be designed, for 16-bit Three-operand binary addition which is called as 16-bit Three-operand binary adder. To design this logic we are using Xilinx ISE, ModelSim software with VHDL, Verilog languages.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vivado

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A company's stock exchange price isn't just a measure of the present worth of the value of its shares, but an index of its anticipated unborn performance as well. The company is an incorporated organisation with the Regulatory Body and shares trading members are registered with SEBI. Given that stock request statistics are extremely time-specific and generally nonlinear in nature, it's veritably delicate to read unborn stock values. The cast offers details about the present state of the inflow of force values. This will also be used to decide whether to buy or vend the individual shares of the particular stock for consumers. numerous scientists were conducted with different data mining ways to read stock request prices. This paper attempts to read the stock price of companies in the public stock exchange indicator LIX15 using Neural Network technology. For designing and training the models, the once data of the chosen stock will be used. To corroborate the thickness of the model, the goods of the model are used for comparison with factual data.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Recurrent neural network, stock market, prediction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In work environment, we encounter various situations involving speech or writing: conversation with friends, professors, or colleagues to achieve various purposes; group discussions,meetings, presentations, project report submission etc.Likewise we interact with superior and subordinates,converse with them and share the materials.Communication at this level is known as Interpersonal communication where we need to examine how many people are involved,how close they are to one another, how many channels are used and the feedback provided. A lot of conversation is devoted to the idea that women and men communicate in different manner.Mostly studies indicate that women are more sensitive in communication rather than men.Therefore society expects from them more responsibility in regulation. Men on the other hand more sensitive about their status in communication.All the interpersonal communication takes places in accordance with the gender role and gender identity ; so it would not be wrong to say that gender roles possesses a significant effect on the formation of the relationship established. But discrimination between them on the basis of gender is seen at workplace. And they directly and indirectly influenced on the performance of the employees. This study deeply concerns the different aspects of discrimination and how can we manage. There should be equal opportunity for both male as well as female employees; Communication must be comprehensive as it reduces the gap among the employees.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

interpersonal communication, channels, gender identity, discrimination, comprehensive, gender role.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In our everyday lives, the conversation has been going through SMS (Short Message Service) for various purposes. Many organizations communicate our request processing through SMS, which is easy to communicate. Many fraudulent URLs and short links are sent through SMS, and we don't know if they are safe or not. If we click on the links and give them our information, they may misuse it and threaten us with money. So, we can't predict them by seeing whether they are spam or not. To address this problem, we have come across machine learning algorithms and a natural language toolkit that help tokenize and preprocess every word. To come up with a user interface that makes better use of availability and can predict spam and not spam. In this paper, we are going to check all the classification algorithms and choose the most accurate one to build and save the model so we can implement it in the user interface.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Any scientific research not only follows systematic steps and procedure but also encompasses research ethics, which is very essential for every researcher to be aware of. The Committee on Publication Ethics (COPE) has therefore issued a "research code of conduct" and advices the researcher and editors how to manage the cases of research and publication misconduct. Ethical standards given by ethics committee refrains the researchers' involvement in doing dishonest practices during research work. Unfortunately the detrimental attitude towards publishing the paper quickly and improve academic score has piloted to unethical practices in scientific research. Violation in the principles of research integrity results fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results which is considered as research misconduct in scientific research. The present study aims to furnish different taxonomy of research misconduct with assisting the review of related literature. Besides, this article will hope to minimise the dopiness and anxiety of early career researcher and help them to keep away from different misconduct or wrong doing in research practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fabrication, Falsification and Plagiarism (FFP), Ethical Approval, Missing Data, Informed Consent, Post hoc analysis, Authorship Issues, Redundant Publication, Conflict of Interest and Salami Slicing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is an immediate necessity to look into how aquifers respond to different human activities in terms of both quantity and quality of groundwater. A stand-alone desktop application for evaluation and interpretation of pumping test data can be distributed as freeware for use by groundwater experts, researchers, students, teachers, and others. The pumping test is the most common and accepted technique for figuring out an aquifer's hydraulic properties. A pumping test help us determine a number of aquifers' properties, including transmissivity, storativity, and specific yield.Data from pumping tests are typically evaluated using computer programmes . Since there is no computer software offered in India for this use. The Central Ground Water Board is proposing to develop a stand-alone desktop application for the study and interpretation of pumping test data that can be used by groundwater specialists, With the increase of human population its demands has increased and resources are limited and in one of those resources water is undisputedly holds the top spot. Since we get most of our water from groundwater resources the government and concerned authorities have increased their data collection and keep records of water levels and parameters related to aquifers. But for better and efficient use of the collected records we will use data analysis which comprises steps like data preprocessing which further includes data cleaning and data mining. Next steps include data analysis which includes pupils, researchers, educators, and other users. This software will be offered as freeware. The user has the option of directly entering data using interfaces or importing it from already-existing datasets.[3] Expected result: a desktop programme that can analyse and interpret data from pumping tests on its own. The software application can include components for interpreting includes common techniques like Theiss, Theiss recovery, and Jacob technique.[3]

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

pumping test,aquifers,standalone, desktop,data,storativity,transmissivity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction: Spasticity following stroke is a common complication that affects the active and passive functions of the paretic limb and thus functional independence. Myofascial release and static stretching are used to reduce spasticity. Inhibition techniques like tendinous pressure are also useful in reducing tone by inhibitory effect. This study aims to compare the immediate effect of tendinous pressure technique versus myofascial release along with static stretching in reducing spasticity among stroke patients. Methodology: Study design- pre-test post-test two groups experimental study, Sample size- 30 patients: In each group- 15 patients, Study setting- OPD JRP Subharti College of Physiotherapy and CSS Hospital, Meerut. Duration of Study: Total duration of the study was 6 months. In group A MFR followed by static stretching was given to the bicep brachii, whereas in group B tendinous pressure was given. MAS and MTS were used to take pre- and post-intervention measurements (immediately after the intervention). Results: At a 5% level of significance, results of the within-group analysis showed significant improvement in MTS R1 and MAS scores for both groups, A and B. Results of between the groups analysis showed significant improvement in MTS R1 values in group B than in group A, while no significant improvement seen in MAS values and MTS R2 values. Conclusion: So, the conclusion can be made that the tendinous pressure technique is more effective than myofascial release along with static stretching in reducing spasticity among stroke patients.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stroke, Spasticity, Myofascial release, Static Stretching, Tendinous pressure

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian automotive industry is witnessing a shift to electric vehicles due to the growing demand for sustainable mobility solutions. This research paper aims to understand consumer perceptions and purchasing behaviour towards EVs in India. A survey was conducted among his 133 respondents in different cities in India to collect primary data. According to the study, consumer awareness and awareness of EVs is growing in India, but there are still significant barriers to adoption. Lack of charging infrastructure, high initial cost and limited range are the main obstacles to adoption. However, research shows that consumers are willing to pay a premium for electric vehicles because of the environmental benefits. The study also found that government incentives and policies play a key role in driving EV adoption in India. The paper concludes with recommendations for policy makers and automakers to promote EV adoption in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric Vehicles, EV, Customer Preferences, Behavioural Intention, EV Strategies, Awareness

  License

Creative Commons Attribution 4.0 and The Open Definition