LC International Journal of STEM (ISSN: 2708-7123)
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A Study On Payment and Settlement Systems for Card, ATMs and POS in Banks of Bangladesh
Get PDFIn the current era, the banking system is affecting digital intelligence because banks of Bangladesh have adopted and established bankers and customers in Bangladesh. Payment and Settlement Systems is an organization. That influences several bank accounts and payments into one e-device. In such despair, payment and settlement systems, mainly the digital payment stages, played a significant function to remain the economy lively and enable the financial system to stay elastic. Certainly, a well-functioning and organized payment system is very important for an economy. The objectives of the study and evaluate Payment and Settlement Systems in the Bank of Bangladesh. And analyze the Card, ATMs and POS for five years (2016 to 2020) and predict forecasting analysis after five years to Payment and Settlement Systems in Bank of Bangladesh. The Descriptive Statistics is excellent growth. Analysis results forecasting analysis in are Card, ATMs and POS all are highly results for positive growth. Correlation Coefficient for Payment and Settlement Systems Card, ATMs and POS in Bank of Bangladesh is very highly positive relationship Hypothesis is framed and tested with regression analysis for Payment and Settlement Systems Card & ATMs, Card & POS and ATMs & POS in Bank of Bangladesh results for the all are null hypothesis rejected
A Systematic Review of Vehicle License Plate Recognition Algorithms Based on Image Segmentation
Get PDFRecently, vehicle license plate recognition (VLPR) is a very significant topic in smart transportation. License plate (LP) has become an important and difficult research problem in recent years due to its difficulties such as detection speed, noise, effects, various lighting, and others. In the same context, most VLPR algorithms include should have many methods to be able to identify LP images based on different letters, colors, languages, complex backgrounds, distortions, hazardous situations, obstructions, vehicle speeds, vertical or horizontal lines, horizontal slopes, and lighting. Therefore, this study provides a comprehensive review of current VLPR algorithms in the context of detection, and segmentation. Where, available VLPR algorithms are classified according to image segmentation methods (characteristics, and features) and are compared in terms of simplicity, complexity, uptime, problems, and obstacles
The Service and Security Quality for The Trust and Implication in Online Purchasing Decision
Get PDFThe purpose of this study is to learn about the effects of service and security quality on trust and their implications for online purchasing decisions. This study's samples are drawn from South Sumatran residents who have made online purchases—roughly 170 people. The data analysis technique in this study is SEM-PLS. The results of the study show that service quality and security have a positive and significant impact on trust and their implications for online shopping decisions in marketplaces. The security variable has a greater influence than the service quality variable on trust and online shopping decisions in the marketplace
Artificial Intelligence and Machine Vision
Get PDFArtificial Intelligence innovation that truly separates larger degree portrayals from crude information by using accumulating extremely good layers of neuron-like units is referred to as Deep Learning. This stacking considers preserving apart portrayals of step-with the aid of-step complex highlights without tedious, detail production. The ongoing success of profound studying has indicated that it outflanks nice-in-magnificence frameworks in picture handling, voice acknowledgment, net seek, concept frameworks, and so forth We furthermore spread makes use of deep gaining knowledge for photo and video getting prepared, language and content material cloth information examination, social facts investigation, and wearable IoT sensor statistics with an accentuation inside the vicinity of Website frameworks. Graphical delineations and models could be large in analyzing pretty some Web records
Empirical Assessment of Software Quality Assurance Performs and Challenges in A Development
Get PDFQuality assurance is critical in the process of software development because it ensures that the software system and other software products are reliable and simple to maintain. Quality standards, Quality control, process automation, quality management, quality planning, and improvement are only a few of the tasks that make up software quality assurance. While our work focused on quality planning, observance to standard methods, and the issues that come with them, our scope is to comprise quality control, software process development, and participation in global quality standards associations. The goal is to produce more reliable findings that can help the software community make better decisions. To collect data from software practitioners, a qualitative research technique was used, particularly the use of questionnaire research instruments
Management Lessons from Ants: A Literature Review
Get PDFThe basic purpose of this study is to highlight the management lessons from the Ants and incorporate our lives and organizations for a success. This is an explorative study inn which different research papers, articles from internet and books are reviewed. Ant is a small living thing but it is considered a very organized and social insect. From the review of different sources, it is concluded that teamwork, planning for future, specializations of employees, division of labor, good communication network, Swarm Intelligence, risk taking, Self-Motivated and Self-directed, work hard, utilize the time in more productive way, feel ownership to employees, and not make any factor as a hurdle for getting job done
Ensemble Model for Heart Disease Prediction
Get PDFFor the identification and prediction of different diseases, machine learning techniques are commonly used in clinical decision support systems. Since heart disease is the leading cause of death for both men and women around the world. The heart is one of the essential parts of the human body, therefore, it is one of the most critical concerns in the medical domain, and several researchers have developed intelligent medical decision support systems to enhance the ability to diagnose and predict heart disease in humans. However, there are few studies that look at the capabilities of ensemble methods in developing a heart disease detection and prediction model. In this study, the researcher looks at how to use the ensemble model, which proposes a more stable performance than the use of a base learning algorithm and these lead to better results than other heart disease prediction models. The University of California, Irvine (UCI) Machine Learning Repository archive was used to extract patient heart disease data records. To achieve the aim of this study, the researcher Bagging meta-algorithm. The ensemble model is a superior solution in terms of high predictive accuracy and diagnostics output reliability, according to the results of the experiments. An ensemble heart disease prediction model is also presented in this work as a valuable, cost-effective, and timely predictive option with a user-friendly graphical user interface that is scalable and expandable. From the finding, the researcher suggests that Bagging is the best ensemble classifier to be adopted as the extended algorithm that has a high prediction probability score in the implementation of heart disease prediction
Some Improved Class of Ratio Estimators for Finite Population Variance with the Use of Known Parameters
Get PDFIn this paper, we proposed some improved class of ratio estimators for finite population variance with the use of known parameters. The proposed estimators are obtained by transforming both the sample variances of the study and auxiliary variables, as well as the use of known parameters. The Mean Square Error of the proposed estimators have been obtained and the conditions for their efficiency over some existing variance estimators have been established. The present family of finite variance estimator, having obtaining the optimal values of the constants, exhibit significant improvement over the estimators considered in the study. The empirical study is also conducted to support the theoretical results and the results revealed that the suggested estimators are more efficient
Ethics in Human Resource Management: A Conceptual and Theoretical Analysis
Get PDFMost debates centered on HRM ethics have mainly concentrated on social and ecological responsibility of organizations; also, in recent years ethics has increasingly become an internal concern for organizations. In the past years, management has ignored employees’ interests as they prioritized the interests of shareholders. Human resource has become a very important resource to many organizations. This calls for the need to ensure justice and fairness in the manner in which this resource is handled. Employers in a typical organization are in an increasingly advantaged position, whereby they dominate and govern the relationship between their employees and themselves. This shows the need for evaluating the role of the management in promoting morality and ethical procedures in dealing with employees, hence, this paper
Gesture Control Life Guard Robot Using Microcontroller
Get PDFBackground
Gesture Control Life Guard Robot which will get back the human when fall in the sea to the sea shore controlled by the another man at the sea shore. The gesture control will reduce the complexity of the transmitter side. If any people at the sea shore can able to access the life guard robot to save the human life.
Transmitter Side
ADXL335 can measures of x and y according to the hand gesture and send values to Ardino nano through wireless communication using NRF24L01 Transceiver module.
Receiver Side
Receives data through wireless communication using NRF24L01 to L298N motor driver. Arduino nano controls the motors through L298N motor drive and motors operate in respective ways
Objective
Life saver -saving life of human who fall in to the sea / lake /ocean / swimming pool/ amusement park.
Gesture control– gesture control technology to reduce the complexity of transmitter side
Methods
Method used in our project is gesture control and wireless communication between two microcontroller
Result
We have successfully done our project after facing many failures. By applying trial and error method we finish our project
Conclusion
By implementing our innovation in real time. No one will lose their life when they fell in the ocean. Our innovation can be implemented in the any places like sea, river, lake, swimming pool and amusement park. We have a new controlling technology in our innovation to make an easy control in the receiver side