Study on Introducing Biometric Fingerprint Authentication in Automated Student Attendance System | Chapter 13 | New Visions in Science and Technology Vol. 4

This research aims to incorporate biometric fingerprint authentication into an automated student attendance system that uses individual fingerprint minutiae features to effectively manage students' attendance at Bangladesh's Jatiya Kabi Kazi Nazrul Islam University's Computer Science and Engineering department. After the student's biometric fingerprint enrolment and authentication, attendance was recorded in this study. Using minutiae features, an authentication system based on fingerprint recognition was created for automatic student identification. Fingerprint minutiae features are thought to be the best and quickest biometric identification method. These minor details are more secure to utilise and are unique to each individual and do not alter over time. Although fingerprint identification is a mature field today, identifying individuals from a pool of enrolled fingerprints is a lengthy procedure. As a result, it's critical to increase fingerprint recognition accuracy and scale it up to big databases (e.g., an institute or organization). The fingerprint minutiae-based technique was employed to create the authentication system in this study. The suggested fingerprint recognition-based automated attendance system was tested on a set of student fingerprint datasets. It was successful in capturing the attendance of students from the Department of Computer Science and Engineering. The proposed system was created with the C# programming language.

 

Author (S) Details

Md. Mijanur Rahman
Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Bangladesh.

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Study on Aging Adult Fitness Center Service Quality: A Conceptual Framework | Chapter 12 | New Visions in Science and Technology Vol. 4

The purpose of this article is to investigate how the service quality of a fitness centre is influenced by ageing adults. The quality of fitness centre service was shown to be influenced by five factors: employees or working staff, activities or programmes supplied by the facilities, locker room conditions, physical and workout environment. The findings will be used by researchers to undertake additional research on the fitness centre and the necessity to provide high-quality service to ageing seniors. The findings can be used to help ageing adult fitness centre owners enhance their service quality, as well as business owners who want to recruit ageing adults as consumers. This study finds and examines the fact that fitness centres, as one type of venue where people go to exercise, are open to everyone, including older seniors.

 

Author (S) Details

Norina Ahmad Jamil
Fakulti Pengurusan Perniagaan, Universiti Teknologi MARA Cawangan Selangor, Malaysia.

Irwan Ibrahim
Malaysia Institute of Transport, Universiti Teknologi MARA, Malaysia.

Afizan Amer
Universiti Teknologi MARA, Cawangan Negeri Sembilan, Malaysia.

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Interpreting the Cumulative Frequency Distribution of Socio-Economic Data: A Recent Study | Chapter 11 | New Visions in Science and Technology Vol. 4

This study delves deeper into the meaning of socio-economic frequency distributions, especially in their aggregated form, known as an OGIVE [1]. Because statisticians have been obsessed with "significance" for the previous century, statistical methods in the social sciences have received little attention [2]. The first section of this study, which examines the asymmetric structure of socioeconomic frequency distributions, may surprise statisticians in the medical and bio-science sectors. Traditional measurements designed for symmetric distributions do not apply to socioeconomic data. The Ogive, a cumulative version of the same frequency data, is the subject of the second portion of this research. The Ogive is only mentioned in statistics textbooks as a curiosity, with instructions on how to make one. Yet its significance, interpretation, and contribution to a better understanding of the underlying socioeconomic condition are never emphasised. This research looks at ways to extract aspects of the frequency distribution from an Ogive that would otherwise go unnoticed.

 

 

Author (S) Details

Othmar W. Winkler
Georgetown University, USA.

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Study on Identifying the Cattle Diseases Using Artificial Intelligence Techniques | Chapter 10 | New Visions in Science and Technology Vol. 4

Livestock is one of India's most important industries. There are 56.7 percent buffaloes, 12.5 percent cattle, 20.4 percent small ruminants, 2.4 percent camels, 1.4 percent equestrian, 1.5 percent pigs, and 3.1 percent poultry in the country. The average production of milk or meat from animals in the United States is 20-60% lower than the global average. Due to a lack of breeding, feeding, health, and management concerns, their output potential is not fully realised. Also, infections such as Brucellosis, Swine Fever, and others affect the animals. There is insufficient veterinarian support for this. This research focuses on applying Artificial and Machine Learning techniques to identify these diseases in cattle. Four important diseases are discussed in this paper: FMD (Foot and Mouth Disease), HS, BQ (Black Quarter), and Anthrax. A camera-based mobile app is being developed to detect illnesses. To detect, store, and predict the sickness, data science and deep learning technology are applied. Once the data has been analysed, the results can be communicated with clinicians in the area through cell phone. Some drugs could be provided by farmers themselves, based on doctor's advise. As a result, a single doctor may virtually serve a larger number of patients..

 

Author (S) Details

H. S. Anupama
Department of Artificial Intelligence and Machine Learning, BMS Institute of Technology and Management, Bangalore, India.

B. A. Usha
Department of Computer Science and Engineering, BMS Institute of Technology and Management, Bangalore, India.

M. Aishwarya
Department of Computer Science and Engineering, BMS Institute of Technology and Management, Bangalore, India.

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Study on Utilization of Prosopis juliflora Root Powder as a Self Curing Agent | Chapter 9 | New Visions in Science and Technology Vol. 4

Curing is a crucial step in increasing the strength of concrete. A self-curing agent's function is to conserve water and reduce water evaporation from concrete, hence increasing the water retention capacity of concrete when compared to conventionally cured concrete. In this study, Prosopis juliflora root powder is utilised as an additive for self-curing concrete. Due to its mechanism for overcoming harsh situations such as drought and salt, Prosopis juliflora (Seemai Karuvelam in Tamil) grows rapidly and spreads. It can draw water from deeper strata thanks to its deep penetrating roots. Because its root can hold a lot of water, powder formed from it can be used as an additive in self-curing concrete. The experimental analysis of the self-curing property of concrete using Prosopis juliflora root powder is the focus of this work. The tests were carried out on both fresh and hardened concrete. Based on the findings, we concluded that by including Prosopis juliflora root powder as a self-curing agent in the concrete mix at various percentages, the addition of 0.75 percent Prosopis juliflora root powder by the weight of cement achieves the 28-day compressive strength of conventional M25 grade concrete in just seven days. Concrete's compressive strength is reduced by adding more Prosopis juliflora root powder.

 

Author (S) Details

S. Karthikeyan
Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.

V. Pradeesh
Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.

D. Prabakaran
Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.

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Self-organization Simulation Applied to Migration across a Peaceful Border: A Recent Study | Chapter 8 | New Visions in Science and Technology Vol. 4

Migration over a shared boundary between two entities, states, or countries has been studied utilising self-organization using simple dynamic laws. The migrant's journey and final destination are depicted. There were two types of objects in the system. One pair was on the other side of the fence. One side, the right, was thought to be the superior entity. That is, it had a solid administration and a powerful economy. In terms of government and economy, the organisation on the left was significantly different. The things on either side were then split into two groups. Strong and weak were the terms used to describe the two groupings. The powerful symbolise government, the wealthy or elite represent the elite, and the weak represent the common public. The items were first randomly placed in this two-dimensional square-bounded zone before being allowed to interact dynamically for a number of iterations. The attractive or repulsive forces among all of the particles as a group were described and may be modified to investigate the resulting configuration from the dynamics. To see how self-organization pertains to these settings, four experiments were done. In Experiment 1, only the object-to-object forces were active during migration. The concept of employment was introduced in Experiment 2. An unemployed object was given the ability to move faster than an employed object, allowing the unemployed to move more freely. The rate of employment on the right side is significantly higher than on the left. Experiment 3 looked at turning one of the repelling forces into an attractor. Experiment 3 was identical to Experiment 2, with the exception that it went through twice as many iterations. On the right side, Experiment 4 created employment centres. Left-side migrants who came close enough to a centre were given jobs at these centres. If the migrant on the left side got a job in the centre, he or she did not move for the rest of the simulation. There was no incentive for a migrant to stay in Experiments 1 and 2, so the migrant crossed the border back and forth. Experiment 4 assumed that the job provided an incentive for the migrant to stay in one place. As a result, migrant clusters formed around job centres. The clusters that formed were not long-lasting, implying that there was no reason to stay. The goal of this project was to use computer simulation on a group of migrants in order to observe traffic patterns from one side to the other and see if clusters or enclaves formed.

 

Author (S) Details

William J. B. Oldham
Texas Tech University, 3877 Royal Troon Dr., Round Rock, TX. 78664, USA.

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Building a Multidimensional Risk Management Strategy for the Enterprise: An Integrated Approach to Enterprise Risk | Chapter 7 | New Visions in Science and Technology Vol. 4

Risk management has been identified as a critical topic for enterprises, not only in terms of analysing and responding to risk, but also in terms of identifying opportunities and adding value to businesses. The traditional approach to risk management is still used by the majority of enterprises today. This strategy is based on stovepipe risk management, in which the focus is mostly on tactical business challenges and does not consider strategic risk sources. Moving to an enterprise risk management (ERM) system is common, although the maturity level varies from one firm to the next. Despite the fact that ERM eliminates many of the shortcomings of traditional risk management methods, it nevertheless has its own set of limitations and obstacles. Various organisations are working to build an enterprise risk management framework since it has been agreed that it plays a significant role in shaping organizational-wide risk strategies and policies in a common governance structure. The perceived silo-based nature of risk management, as well as the integration and communication of key risk functions in a holistic manner, remains a difficulty. The main goal of this paper is to address this significant issue by proposing a multidimensional risk management framework with three key domains: a Business Process-Centric Risk Management System (BPC-RMS), a Risk Dialogue Matrix (RDM) based on Expert rules and Data Mining, and a Risk Management Program (RMP) led by a Risk Management Office. A holistic multidimensional risk management approach considers all of the enterprise's functional areas, identifies all of the risks in each, evaluates their relationships and implications, and ensures that all risk actions are balanced. The proposed framework is intended to expand on risk management standards and best practises. We propose and test a multidimensional framework to integrate these risk management ideas into the enterprise's business process using design science methodology.

 

Author (S) Details

Munir Majdalawieh
Zayed University, College of Technological Innovation, United Arab Emirates..

John Gammack
Zayed University, College of Technological Innovation, United Arab Emirates.

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