COMPUTER ENGINEERING PROJECT TOPICS – Premium Researchers https://www.premiumresearchers.com Thu, 19 Feb 2026 17:02:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 https://www.premiumresearchers.com/wp-content/uploads/2020/04/cropped-PR-Logo-Icon1-32x32.png COMPUTER ENGINEERING PROJECT TOPICS – Premium Researchers https://www.premiumresearchers.com 32 32 WRITING CHAPTER 1 OF YOUR RESEARCH PROJECT https://www.premiumresearchers.com/writing-chapter-1-of-your-research-project/ https://www.premiumresearchers.com/writing-chapter-1-of-your-research-project/#respond Thu, 19 Feb 2026 17:02:03 +0000 https://www.premiumresearchers.com/?p=39277 Writing Chapter 1 of Your Research Project: A Complete Guide to Building Your Research Foundation

Reading Time: 8-10 minutes

Key Takeaways

  • Chapter 1 is the critical foundation of your entire research project, introducing your topic, problem, and research direction
  • It must contain nine essential components: introduction, background, problem statement, objectives, research questions, significance, scope and limitations, assumptions, and operational definitions
  • These components must work together coherently, with each section building on the previous one
  • Writing Chapter 1 requires strategic planning, clear writing, and ensuring all elements align with each other
  • Professional guidance from experienced researchers can dramatically improve your Chapter 1 quality and save you weeks of revision

Understanding Chapter 1 in Research

If you’re struggling to write Chapter 1 of your research project, you’re not alone. This is where most students and researchers get stuck because Chapter 1 sets the tone for everything that follows. The problem is that many students approach it as just another chapter to complete, not realizing that Chapter 1 determines whether your reader (and your evaluator) understands why your research matters.

Chapter 1 is fundamentally different from every other chapter in your research project. While Chapter 2 reviews existing literature, Chapter 3 explains your methods, and Chapter 4 presents your findings, Chapter 1 must accomplish something far more complex: it must hook your reader, establish the context for your study, identify a genuine problem worth investigating, and lay out exactly what you plan to do about it. As research methodologist John W. Creswell noted, “The introduction is the most important part of your research paper because it provides the context and purpose for the entire study.”

Here’s where many students struggle: They write Chapter 1 without understanding how each section connects to the others. They jump from background to objectives without clearly showing why those objectives matter. They define their problem without clearly stating who is affected or what happens if the problem goes unaddressed. The result is a disjointed, confusing introduction that leaves readers wondering about the purpose of the research.

This is exactly where PremiumResearchers can help you. Our team of experienced academic writers specializes in crafting compelling Chapter 1 sections that establish clear research direction and pass rigorous academic standards. We understand the specific requirements of Nigerian universities (UNILAG, OAU, University of Ibadan, and others) and international academic standards. Rather than struggle through multiple revisions, many students choose to work with us to get it right from the start. We can provide you with personalized Chapter 1 samples for your specific research topic, showing you exactly how to structure each component and how they connect together.

The Nine Essential Components of Chapter 1

Every well-constructed Chapter 1 contains nine specific components, each serving a distinct function in your research narrative. Think of these as the building blocks that, when properly arranged, create a compelling case for why your research needs to be done.

Here are the nine components in logical order:

  1. Introduction
  2. Background of the Study
  3. Statement of the Problem
  4. Research Objectives
  5. Research Questions and/or Hypotheses
  6. Significance of the Study
  7. Scope and Limitations
  8. Basic Assumptions
  9. Operational Definition of Terms

The key to effective Chapter 1 writing is understanding that these components aren’t isolated sections that stand alone. Instead, they form an interconnected system where each component builds on and supports the others. Your background sets up your problem statement. Your problem statement justifies your research objectives. Your objectives generate your research questions. Your research questions require specific methods (which you’ll detail in Chapter 3). Your significance section explains why anyone should care about answering those questions.

Most students who struggle with Chapter 1 are writing these components in isolation, then wondering why they don’t fit together. This is a structural problem that requires strategic thinking before you start writing.

Crafting a Compelling Introduction

Your introduction section is your first and best opportunity to capture your reader’s attention. Think of it as the gateway to your entire research project. If it fails to engage the reader or fails to establish clear direction, everything that follows will struggle to resonate.

An effective introduction uses what’s called the “funnel approach” – you begin with a broad, general statement about your field or topic, then gradually narrow your focus until you arrive at your specific research focus. This approach accomplishes several things simultaneously: it provides necessary context, it shows how your research fits into the larger academic conversation, and it demonstrates that you understand the significance of your topic.

Here’s a strong example:

The digital revolution has fundamentally transformed how people communicate, learn, and work. Social media platforms have become integral to daily life, with over 5.3 billion users globally as of 2024. Among these users, university students represent one of the most active demographics, spending 3-5 hours daily on social platforms. While these platforms offer unprecedented opportunities for knowledge sharing and collaboration, their relationship with academic performance remains poorly understood in the Nigerian higher education context. Previous research conducted in Western settings may not fully apply to Nigerian students, who face different digital access patterns, learning environments, and cultural factors. This gap in context-specific research represents a significant opportunity to advance our understanding of how digital engagement affects student learning outcomes.

Notice how this introduction moves from a general observation (digital transformation), to a specific statistic (5.3 billion users), to a specific population (university students), to an acknowledged gap (lack of Nigerian context), to why that gap matters (different contexts require different understanding). This is the funnel structure working effectively.

Key elements of a strong introduction:

  • Opens with a compelling statement that captures attention
  • Provides necessary background information without overwhelming the reader
  • Uses specific statistics or recent developments to establish relevance
  • Identifies where your study fits into the larger research conversation
  • Transitions smoothly into the specific focus of your research
  • Signals what the reader can expect in the sections that follow

Writing Your Background Section

The background section is where you tell the story of your research problem. It’s not a literature review (that comes in Chapter 2), but rather a narrative that explains how your research question emerged and why it matters now.

A strong background section typically covers four key areas:

  • Historical development: How has this issue evolved over time? What triggered interest in this area?
  • Current state of knowledge: What do we currently understand about this topic?
  • Gaps in existing research: What specifically do we NOT know?
  • Contextual factors: What factors specific to your context (Nigeria, your institution, your field) make this research timely and relevant?

Here’s a strong example from a study on remote learning:

Distance education has a long history extending back to 19th-century correspondence courses, but technological advancement accelerated its adoption significantly. The emergence of Learning Management Systems (LMS) and Massive Open Online Courses (MOOCs) in the early 2000s demonstrated online learning’s scalability. However, the COVID-19 pandemic in 2020 created an unprecedented shift to remote learning that forced institutions to transition overnight, often without adequate preparation.

Existing research on voluntary online learning (Ahmed, 2022; Johnson, 2023) provides insights into student motivation and engagement. However, these studies focused on students who chose online learning. The literature reveals a significant gap regarding students forced into remote learning situations, particularly concerning their psychological adjustment, sense of belonging, and long-term academic outcomes. This gap is especially pronounced for African students, where most research has been conducted in Western contexts.

In the Nigerian higher education setting, where many institutions lack robust digital infrastructure and students come from varying digital literacy backgrounds, the specific challenges of forced remote learning remain under-researched. This study addresses that gap by examining the psychological and academic impacts of forced remote learning on undergraduates at major Nigerian universities.

This background section accomplishes several things: it establishes historical context, acknowledges what we know from existing research, explicitly identifies the research gap, and explains why this gap matters specifically in the Nigerian context.

Developing a Strong Problem Statement

This is where your entire research project hinges. Your problem statement must be crystal clear because everything else in your research flows from this foundation. The problem statement answers the fundamental question: “What is the research problem, and why does it matter?”

Many students write vague problem statements like “This study examines social media’s impact on student performance.” This is far too broad and doesn’t clearly identify what specific problem needs to be solved.

A strong problem statement should:

  • Clearly identify the specific problem (not just a general topic)
  • Explain why it matters and to whom it matters
  • Indicate who is affected by this problem
  • Suggest potential consequences if the problem remains unaddressed
  • Be specific enough to guide your research methodology

Weak Problem Statement: “Social media affects student academic performance.”

Strong Problem Statement: “While social media is ubiquitous among Nigerian university students, research has not adequately examined how specific usage patterns (time spent, platform choice, timing of use) relate to academic performance outcomes, particularly in the context of competing demands from hybrid learning environments. This gap in understanding creates challenges for educational institutions attempting to help students maintain healthy digital habits while optimizing their use of technology for learning.”

The strong version specifically identifies: what we don’t understand (relationship between specific usage patterns and performance), the population (Nigerian university students), the context (hybrid learning environments), and why it matters (institutions need this information to support students).

Setting Clear Research Objectives

Research objectives translate your problem statement into specific, achievable goals. They answer the question: “What exactly will this research accomplish?”

Effective objectives are specific, measurable, and aligned with your problem statement. They should be written in clear, active language using strong action verbs.

Here’s how to structure effective research objectives:

General Objective (singular, overarching goal):

To assess the relationship between social media usage patterns and academic performance among undergraduate students at major Nigerian universities.

Specific Objectives (multiple, measurable goals):

  1. To quantify the average daily time spent on social media by undergraduate students and identify primary platforms used.
  2. To identify the specific usage patterns (passive scrolling vs. active learning engagement) most prevalent among students.
  3. To measure the correlation between identified usage patterns and cumulative GPA, course completion rates, and student-reported academic satisfaction.
  4. To explore students’ perspectives on how social media affects their concentration, motivation, and academic engagement.
  5. To develop context-specific recommendations for students and institutions regarding healthy social media use in academic settings.

Notice that each specific objective uses action verbs (quantify, identify, measure, explore, develop) and is specific enough that you could create a research method to accomplish it. Avoid vague objectives that use weak verbs like “understand,” “know,” or “examine.”

Formulating Research Questions and Hypotheses

Your research questions are the concrete inquiries that will guide your data collection and analysis. They represent the translation of your objectives into specific questions that your research will answer. If your objectives describe what you’ll accomplish, your research questions describe what you’ll investigate.

Research questions are particularly important because they directly determine your research methodology. A question asking “what is the prevalence of X?” suggests quantitative methods. A question asking “how do students experience Y?” suggests qualitative methods.

Structure your research questions this way:

Primary Research Question:

To what extent do specific social media usage patterns correlate with academic performance outcomes among undergraduate students at Nigerian universities?

Secondary Research Questions:

  1. What are the predominant social media usage patterns among undergraduates, and how do these vary by gender, discipline of study, and level of education?
  2. Which usage patterns show the strongest correlation with academic performance indicators (GPA, course completion, academic satisfaction)?
  3. How do students themselves perceive the relationship between their social media use and academic outcomes?
  4. What factors enable students to maintain balanced social media use while meeting academic demands?

If your research is quantitative, add hypotheses:

  1. H1: Students spending more than 4 hours daily on social media will have significantly lower cumulative GPAs than those spending less than 2 hours daily.
  2. H2: Passive scrolling and entertainment-focused social media use will be negatively associated with academic performance, while learning-focused use will show positive associations.
  3. H3: Students who use social media during designated study times will report lower academic satisfaction than those who maintain temporal boundaries.

Each hypothesis is testable, specific, and directly addresses one of your research questions.

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Establishing the Significance of Your Study

The significance section answers the crucial “So what?” question. It explains why your research matters and who will benefit from your findings. This section must justify the time and resources your research requires.

Structure your significance section to address multiple stakeholder groups:

For Students: How will your findings help students make better decisions about their social media use? Will your research provide concrete strategies they can implement?

For Educators and Institutions: How will your findings help institutions support student success? What institutional policies or programs could be informed by your research?

For the Academic Field: What gap in the literature does your research address? What new understanding will it contribute?

For Society/Policy: Do your findings have implications for broader discussions about digital wellbeing, educational policy, or social change?

This study has significance for multiple stakeholders. For students, it provides data-driven insights into how their social media habits affect academic success, enabling more informed decisions about technology use. For educators and university administrators, it offers evidence-based understanding of digital engagement patterns, informing the design of student support programs and academic policies. The research addresses a notable gap in the literature by providing context-specific evidence from Nigerian universities, where digital divides, infrastructure challenges, and cultural factors create a distinct landscape from Western research contexts.

Methodologically, this mixed-methods approach contributes a replicable framework for examining technology-learning relationships in African educational settings. Policy implications extend to national discussions about digital literacy in higher education and the development of technology integration guidelines that account for local context and student wellbeing.

Defining Scope and Limitations

Many students view the scope and limitations section as something to minimize or downplay. Actually, the opposite is true. Clearly defining your boundaries demonstrates research sophistication and intellectual honesty. It shows that you understand your research context and have made deliberate choices about what to study and what to exclude.

Your scope describes what your research WILL address:

This research focuses specifically on undergraduate students (200-level to 400-level) enrolled full-time at three major universities in Lagos State during the 2024-2025 academic year. The study examines five primary social media platforms (Facebook, Instagram, Twitter/X, TikTok, and WhatsApp) where undergraduate students demonstrate significant engagement. The research is limited to students with consistent internet access and does not include distance learning students or those with irregular digital access. Data collection covers a 4-month period during the regular academic semester.

Your limitations describe constraints and potential weaknesses:

  1. Geographic limitation to Lagos State may not represent students in other regions with different infrastructure, economic, or cultural contexts.
  2. Self-reported data on social media usage may be subject to recall bias or social desirability bias.
  3. The 4-month study period may not capture longer-term impacts or seasonal variations in academic performance.
  4. The study cannot establish causation, only correlation, therefore we cannot definitively state that social media use causes lower academic performance.
  5. Institutional differences among the three universities may affect generalizability of findings.

By clearly stating limitations, you demonstrate that you’ve thought critically about your research design and understand where your conclusions apply and where they don’t. This actually enhances your credibility rather than undermining it.

Identifying Assumptions and Operational Definitions

Every research project rests on underlying assumptions – things you take to be true for your research to be valid. Making these explicit is a mark of research rigor.

Theoretical Assumptions:

  1. Students can accurately self-report their social media usage patterns.
  2. Academic performance (GPA) is an adequate measure of learning outcomes.
  3. The relationship between social media use and academic performance is similar across different disciplinary contexts.

Methodological Assumptions:

  1. The survey instrument used is valid and reliable for measuring social media usage in Nigerian contexts.
  2. Participants will provide honest responses about their social media habits.
  3. A 4-month academic semester adequately captures students’ normal patterns of engagement.

Operational Definitions ensure clarity and consistency:

Social Media Usage: The time spent and activities engaged in on social platforms (active posting, passive scrolling, communication, entertainment consumption) measured in hours per day and categorized by platform and activity type.

Academic Performance: Measured by cumulative Grade Point Average (GPA) on a 4.0 scale, course completion rates, and self-reported academic satisfaction ratings on a Likert scale.

Undergraduate Student: A full-time student enrolled in bachelor’s degree programs at participating institutions, in their second through fourth years of study.

Passive Usage: Social media engagement focused on consuming others’ content without active participation (scrolling feeds, watching videos, viewing stories).

Active Usage: Social media engagement involving creation or meaningful participation (posting content, commenting, messaging, collaborative projects).

These operational definitions are crucial because they ensure that when someone reads your research, they understand exactly what you mean by the terms you’re using. “Social media usage” could mean many different things – by defining it operationally, you eliminate ambiguity.

Common Mistakes Students Make in Chapter 1 (and How to Avoid Them)

After reviewing hundreds of research projects, we’ve identified the most common mistakes that weak Chapter 1 sections share. Being aware of these pitfalls can help you avoid them.

Mistake 1: Scope Creep

The Problem: You try to address everything related to your topic rather than narrowing down to a specific, manageable research question.

Weak Example: “This study examines all aspects of how technology affects student learning, including social media, email, learning management systems, online educational resources, and general computer use.”

Better Example: “This study examines how daily social media usage patterns specifically relate to academic performance in undergraduate students at Nigerian universities, with focus on the most-used platforms (Instagram, TikTok, Twitter/X).”

The key difference: the better example is narrower, more specific, and therefore more achievable within the constraints of a research project.

Mistake 2: Misaligned Components

The Problem: Your research objectives don’t actually address your problem statement. Your research questions don’t align with your objectives. Your methodology (in Chapter 3) won’t actually answer your research questions.

Example of Misalignment:

Problem Statement: “Undergraduate students’ social media use correlates with academic performance, but we don’t understand which specific usage patterns are problematic.”

Research Objective: “To understand students’ attitudes toward technology in general.”

These don’t align. If your problem is about specific usage patterns and academic performance, your objective should address that relationship, not general attitudes toward technology.

Mistake 3: Weak Opening

The Problem: Your introduction fails to capture attention or establish relevance.

Weak Opening: “This study is about social media and students.”

Strong Opening: “According to recent research, undergraduate students spend an average of 4-5 hours daily on social media platforms, yet many report struggling to balance this engagement with academic demands. Despite decades of research on technology and learning, we still lack context-specific understanding of how students in African universities manage digital engagement while maintaining academic focus.”

The strong opening provides specific information, establishes relevance (the tension between social media engagement and academics), and clearly identifies what we still need to understand.

Mistake 4: Insufficient Justification

The Problem: You don’t adequately explain why your research matters or who will benefit from it.

Weak Significance Section: “Understanding social media’s impact on academic performance is important.”

Strong Significance Section: “Understanding which social media usage patterns most negatively affect academic performance will enable universities to develop targeted interventions. For students, this research provides actionable insights into how to manage digital engagement without sacrificing academic success. For policy makers, this research provides evidence for digital literacy and wellbeing initiatives. For African higher education institutions specifically, this research addresses a gap in literature where most existing research reflects Western contexts and may not account for Africa’s unique digital access patterns, infrastructure challenges, and cultural approaches to technology.”

The strong version explains specifically who benefits (universities, students, policy makers, African institutions) and what they’ll be able to do with the findings.

Mistake 5: Vague Language

The Problem: You use imprecise language that doesn’t clearly convey your meaning.

Vague: “The effects of social media on students are significant.”

Specific: “Undergraduate students who spend more than 4 hours daily on social media report 0.5 points lower cumulative GPAs on average compared to those spending less than 2 hours daily, according to preliminary institution data.”

The specific version provides concrete information that actually helps readers understand what you’re claiming.

A Strategic Approach to Writing Chapter 1

Don’t write Chapter 1 in section order. Instead, follow this process:

  1. Start with your problem statement. This is the anchor. Everything else should flow from this core idea.
  2. Develop research questions that directly address this problem. If your question doesn’t relate to your problem, revise one or the other.
  3. Create objectives that align with your questions. Each objective should help answer at least one research question.
  4. Write your background section to show how your problem emerged and why it matters.
  5. Write your introduction to funnel readers from general context down to your specific focus.
  6. Develop your significance section to explain why anyone should care.
  7. Define your scope and limitations to show realistic boundaries.
  8. List your assumptions and define your key terms.
  9. Finally, review and revise to ensure all sections align.

The mistake most students make is starting at section 1 (introduction) and working sequentially through to section 9. This means you’re writing your introduction before you’ve fully clarified your problem, objectives, and questions – which makes alignment nearly impossible.

This is another area where working with PremiumResearchers can save you considerable time. Our experienced writers follow this strategic approach, ensuring that all nine components align perfectly and support each other. We can also provide detailed feedback on your draft Chapter 1, pointing out where components aren’t aligned and suggesting specific revisions to strengthen them.

Frequently Asked Questions About Chapter 1

How long should Chapter 1 be?

Chapter 1 typically ranges from 10-15 pages for a master’s thesis to 20-30 pages for a doctoral dissertation, depending on your institution’s requirements. The key is comprehensiveness, not length – you should thoroughly cover all nine components without unnecessary repetition or filler. A well-written 12-page Chapter 1 is better than a poorly-written 25-page version. Focus on quality and clarity over hitting a specific page count.

What if my research objectives don’t perfectly align with my research questions?

This is a common problem, and the solution is revision. Your research questions should emerge directly from your objectives. If you have a research objective like “To identify barriers to digital adoption among older adults,” your research questions should ask specific questions about those barriers. For example, “What are the primary barriers to digital adoption among adults over 65?” If your questions don’t connect to your objectives, something needs to be revised. This is why many students benefit from professional feedback during Chapter 1 development – we can identify misalignments immediately and help you fix them.

]]> https://www.premiumresearchers.com/writing-chapter-1-of-your-research-project/feed/ 0 GENDER DISPARITIES IN ROBOTICS EDUCATION https://www.premiumresearchers.com/gender-disparities-in-robotics-education/ https://www.premiumresearchers.com/gender-disparities-in-robotics-education/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51579 GENDER DISPARITIES IN ROBOTICS EDUCATION

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GENDER DISPARITIES IN ROBOTICS EDUCATION

Chapter one

INTRODUCTION

Background for the Study

In recent years, the field of robotics and computer education has grown and gained attention in both formal and informal educational settings. Robotics education, in particular, has emerged as a powerful tool for developing fundamental skills in the STEM fields.

Lamptey et al. (2021) show that a modified robotics programme has helped students develop an interest in STEM, showing its potential as an educational catalyst.

However, beneath the surface of this promising educational landscape, a major concern looms: a huge gender inequality in robotics education participation and performance, as demonstrated by Mosley, Ardito, and Scollins (2016).

Gender disparities in STEM professions, particularly robotics, remain a major global concern. While progress has been achieved in reducing gender discrepancies in mathematics and computer science, the gender gap in robotics education remains.

This study investigates the gender differences that exist in the field of robotics education, with a special emphasis on computer and robot education.

Gender gaps in STEM professions have drawn global attention and concern. According to Burack, Melchior, and Hoover (2019), initiatives to close the gender gap in STEM have resulted in significant improvement in subjects like mathematics and computer science.

These efforts to promote more gender parity are critical not only for social justice purposes, but also for realising the full potential of a diverse workforce. However, when it comes to robotics education, these advances have not been fully realised.

According to Sullivan and Bers (2019), gender inequalities in student views and experiences are evident in robotics competitions such as VEX, emphasising the ongoing discrepancy in the robotics field.

The need to identify the root reasons of these gender discrepancies in robotics education is critical. Zhang, Luo, Zhu, and Yin (2021) argue that socioeconomic and cultural factors contribute significantly to gender gaps in STEM disciplines.

Stereotypes and a lack of female role models in robotics have a significant impact, as studies like Walma van der Molen’s (2020) show. Stereotypes and a lack of role models can discourage young girls from pursuing STEM fields, including robotics.

The implications of gender inequality in robotics education go beyond the classroom. The technology and robotics industries are expected to have significant expansion in the future years. As a result, these differences have far-reaching consequences for the labour and the economy, as stated by Freeman et al. (2017).

Failure to address the gender gap in robotics education risks alienating a sizable percentage of the workforce from lucrative prospects in these emerging industries.

Furthermore, a lack of diversity in these sectors stifles creativity and restricts the breadth of perspectives and ideas, as highlighted by Miller, Eagly, and Linn (2021). It is not simply a matter of fair access, but also of ensuring that the technology industry benefits from a larger range of people and perspectives.

Efforts to close the gender gap in robotics education are critical. Educational initiatives and policies aimed at closing the gender gap must be undertaken.

According to Castro et al. (2018), educational robotics has the ability to expose young children to the world of robots and STEM, potentially shaping their attitudes and interests from an early age.

Sáez López, Otero, and De Lara García-Cervigón’s (2021) study emphasises the need of teaching robotics and programming in primary school to encourage technical thinking.

According to Bandura (2017), these interventions can not only pique curiosity but also help to promote self-efficacy, which is critical in reducing gender gaps.

Furthermore, DeWitt et al. (2021) emphasise the need of encouraging young children’s STEM goals, and educational robots can play a critical role in this regard.

Through engaging and participatory robotics programmes, we can inspire more girls and boys to pursue careers in STEM. Papert (1980) and Piaget (1973) emphasise the importance of hands-on learning experiences, such as those provided by robotics, in developing a strong and long-lasting interest in STEM.

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]]> https://www.premiumresearchers.com/gender-disparities-in-robotics-education/feed/ 0 DEVELOPMENT OF AN OPTIMIZED ROUTING SCHEME FOR A CAPACITATED VEHICLE MODEL https://www.premiumresearchers.com/development-of-an-optimized-routing-scheme-for-a-capacitated-vehicle-model/ https://www.premiumresearchers.com/development-of-an-optimized-routing-scheme-for-a-capacitated-vehicle-model/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51738 DEVELOPMENT OF AN OPTIMIZED ROUTING SCHEME FOR A CAPACITATED VEHICLE MODEL

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DEVELOPMENT OF AN OPTIMIZED ROUTING SCHEME FOR A CAPACITATED VEHICLE MODEL

Chapter One:

Introduction

1.1 Background

Logistics has become increasingly crucial in budgetary concerns for the government and its facilities, as well as revenue generating for private enterprises, since technology has advanced rapidly.

The ability for anyone on the earth to be globally connected has resulted in complex transportation networks that are extremely demanding and becoming increasingly vital. As a result, a successful logistics system can have a significant impact on organisations and related business processes.

Highlighting the importance of logistics in some sectors such as grocery delivery, online store delivery of goods, waste management, and intra-city public transportation, product prices can rise due to increases in distribution costs, whereas vehicle routing has the potential to save up to 30% (Hasle & Kloster, 2007). Therefore, vehicle routing becomes necessary.

Vehicle Routing Problem (VRP) is a type of optimisation problem in which the itineraries of a fleet of vehicles are optimised to service a specific set of clients (Cattaruzza et al., 2017). This condition accounts for a significant portion of the flow of cars for diverse logistical purposes in cities.

The framework is used to represent a wide range of difficulties in applications such as supply chain management, delivery services, public transportation, telecommunications, and production planning (Bocewicz et al., 2017).

The optimisation of vehicle routing can result in significant cost savings. The interest in VRP stems from its practical and economic significance. However, solving a VRP is not an easy process because it falls under the complexity class of choice problems (Kumar & Panneerselvam, 2012).

Subramanian et al. (2013) identified two variants of VRP:

1. Capacitated VRP(CVRP)

2. VRP for simultaneous pickup and delivery.

3. VRP for mixed pickup and delivery.

4. Multi-depot VRP with mixed pickup and delivery.

5. VRP with access time windows.

The goal of VRP can be to reduce delivery and vehicle expenses, optimise the number of drivers and vehicles, minimise delivery time, minimise overall route cost, and so on (Mahmoudi & Zhou, 2016). The optimisation problem can be designed to address any one or more of the listed objectives while taking into account their constraints.

Fuel and diesel transportation, the deployment of soldiers on the front lines, aeroplane flights, the delivery of food and beverages to restaurants, the delivery of cash to cash machines (ATMs), student and employee services

the delivery of items purchased online, transportation, and waste management (Kirci, 2016). This research will concentrate on the CVRP as it applies to waste management and the supply chain.

In transportation, a CVRP model is a technique that can handle the problem of incorrect logistic scheduling in the movement of people that requires a commercial transportation service to ensure that all clients are considered and picked up.

Also, throughout the supply chain, demand (payload of each client) and truck capacity are considered while organising payload drop offs and pick-ups.

In waste management, environment quality refers to how quickly an environment deteriorates in relation to human needs, particularly with regards to solid waste management. This leads to increased CO2 emissions and global warming (Budzianowski, 2016).

Waste management has been updated and improved over time utilising various technologies in response to the rise in solid waste caused by population growth (Moh & Manaf, 2014).

1.2 The Significance of Research

This research is motivated by a rising concern for obtaining quality solutions, particularly for routing models that take into account the number of vehicles and the cost of operation. According to the literature, applying a better strategy to this routing problem can result in a more optimised solution (Uchoa et al. 2017).

For this reason, the Firefly algorithm (FFA) will be used, which is associated with the CVRP’s features and qualities. The main characteristics of the FFA include the fact that the nodes (fireflies) are more versatile in their attractiveness, resulting in increased mobility and a more efficient exploration of the search space, i.e. the best route will be identified and exploited for vehicles to deliver to customers.

Also, the brightness of a node is related to its appeal, thus a less light Firefly will travel towards a brighter one along the shortest path. The goal function’s landscape structure determines the brightness of each Firefly.

Thus, taking fitness into account at each step of motion, the nodes (customers) move for each iteration in order to achieve a better result, dropping the previous result to be replaced, and this continues until the maximum iteration is reached.

1.3 Statement of Problem

When optimising route distance to conserve money and other resources, the first step is to establish the overall proximity of all other nodes by determining the ideal site for a depot, which affects route distance.

Secondly, determining which vehicle to allocate to which route while adhering to model capacity restrictions is a challenging task that might increase overall route costs.

Finally, a node-to-node travel path decides the next node for the vehicle to drive to; such a selection reduces the total distance travelled and, as a result, the route cost.

1.4 Aims and Objectives

The purpose of this study is to create an optimised routing strategy for route optimisation and depot location on a capacitated vehicle model utilising the Firefly algorithm (FFA).

The aims of this study are as follows:

1. Create a CVRP model and goal function that takes into account the random, optimised, centred, and eccentric (ROCE) depot placements.

2. Using the FFA, optimise the model generated in (1) and apply it to solid waste management and supply chain scenarios.

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]]> https://www.premiumresearchers.com/development-of-an-optimized-routing-scheme-for-a-capacitated-vehicle-model/feed/ 0 DATA SECURITY USING FIREWALL https://www.premiumresearchers.com/data-security-using-firewall-2/ https://www.premiumresearchers.com/data-security-using-firewall-2/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51590 DATA SECURITY USING FIREWALL

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DATA SECURITY USING FIREWALL

Chapter one

1.1 Introduction.

Computers and networking have become inextricably linked by now. A large number of confidential transactions occur every second, and computers are now mostly utilised for data transport rather than processing. It needs to include corrective actions made to make it easier to use, guard against viruses, prevent data hacking, and offer verified data transfers.

A firewall is a device or set of instruments designed to permit or deny network transmissions based on a set of rules and regulations. It is commonly used to protect networks from unauthorised access while allowing legitimate communications to pass or during sensitive data transmission.

It is a collection of components that are located between two networks and filter traffic between them using some security policies. A firewall can effectively protect a local system or network systems from network-based security risks while also providing access to the outside world via wide area networks and the internet (Bellovin, 2019).

Traditional firewalls (conventional firewalls) are devices that are often positioned on the network’s edge and operate as a bouncer, letting only particular sorts of traffic into and out of the network. They are also known as perimeter firewalls.

They divide the network in two parts: trusted on one side and untrusted on the other. As a result, they place a high value on network topology. Furthermore, firewalls serve as a policy control system, allowing a site administrator to specify external access policies. Just as file permissions impose an internal security policy, they can also enforce an exterior security policy.

Michael, (2011). Distributed firewalls are host-based security software solutions that safeguard the company network’s servers and end-user machines from unauthorised access.

They provide the advantage of filtering traffic from both the Internet and the internal network. This allows them to prevent hacking assaults coming from both the Internet and the internal network. This is significant since the most expensive and devastating attacks still come from within the organisation.

Centralised management is one of the features of distributed firewalls. The capacity to populate servers and end-user machines, as well as define and “push out” uniform security policies, helps to make the best use of limited resources.

The capacity to collect reports and manage updates centrally makes dispersed security feasible. Distributed firewalls can aid in two ways. Remote end-user computers can be safeguarded.

Second, they secure key network servers, preventing malicious code intrusion and “jailing” other similar code by preventing the protected server from being utilised as a launchpad for broader attacks (Gatus, 2014).

They are typically put behind the regular firewall and serve as a secondary layer of defence. They work by allowing just necessary traffic into the machine they safeguard while blocking all other forms of traffic to prevent unwanted intrusions.

Distributed firewalls work as specialists, whereas perimeter firewalls must take a generalist, common denominator approach to securing network hosts.

A firewall is a device or combination of instruments designed to allow or prohibit network transmissions depending on a set of rules and regulations. They are commonly used to protect networks from unauthorised access while allowing legitimate communications to pass or during sensitive data transmission.

Distributed firewalls enable the enforcement of security regulations on a network while not restricting its topology from the inside or outside. The use of a policy language and delegating its semantics to all members of the network domain facilitates the implementation of firewall technology for organisations in which network devices communicate over insecure channels while maintaining a logical separation of hosts within and outside the trusted domain.

Data security needs have changed significantly during the previous three decades. The first significant shift was the emergence of the computer. The need to protect files and information became clear.

Computer security refers to a collection of tools used to protect data and prevent hacker attacks. The second important shift was the advent of distributed systems, networks, and communication facilities for data transmission.

Data security procedures are required to safeguard data during transmission. The third change is the rapid evolution of wireless networks and mobile communications. Data security is thus a top priority today (Jayesh 2017).

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]]> https://www.premiumresearchers.com/data-security-using-firewall-2/feed/ 0 COMPUTER BASED SCRABBLE GAME https://www.premiumresearchers.com/computer-based-scrabble-game/ https://www.premiumresearchers.com/computer-based-scrabble-game/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51743 COMPUTER BASED SCRABBLE GAME

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COMPUTER BASED SCRABBLE GAME

Chapter One:

Introduction and Background of the Project

Scrabble is an old classic board game with simple rules. Scrabble has more aspects to consider than other classic board games, such as Chess. Aside from anagramming and word generation, there are several important considerations to be made.

A player would most likely uncover many permissible moves in one round and then have to chose which one to use. Choosing the move with the highest score isn’t always the best option.

It is possible that such a move might result in a situation in which nothing could be done in the next round, or that the opponent would score significantly. Many elements go into deciding which move to utilise, and there are various approaches and ideas that might help make the decision easier.

Hitting the bonus squares might result in an incredibly high score, thus one approach is to try to always hit the bonus squares while preventing your opponent from doing the same.

Another strategy to be successful is to prioritise using high-scoring letters, which will not only give a high overall score for the player but may also cause difficulties in the future if not used as soon as feasible.

Scrabble is a simple game that can be played by four, three, two, or even one player. Scrabble is a tile-based game with a specially built board.

The game can be played using a board with a cross-shaped path. The cross path features a centre square shaped like a square box with a star sign between each two arms.
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On the board’s down side, a Rack is used to place tiles before picking them. The hue of the rack is customisable by the developer or user, and both the titles and the rack can be the same colour. This rack initially holds seven tiles but can be shuffled as needed.

Each player starts in the middle and places tiles as they are picked. The beginning point is identified by its distinct colour from the surrounding boxes.

The board has tiny square boxes that represent the stages each tile takes to form a word. There are double and triple word squares on the board. Placing two tiles that generate a meaning in the double word lines or square results in a high score

as does the triple word square. The score device ranks scores based on placement tiles. Depending on the players, some utilise the regular set number and others simply use seven (7).

In the game, each player’s goal is to navigate their tile to a meaningful word. The game is won by the first person to finish their tiles or the player with the greatest point total, sometimes known as the top scorer or best player.

In contrast, if a player’s tiles remain after a certain number of players have finished, they will finish last and suffer the most losses. All players must follow the three rules.

The rules and regulations of the game will be discussed in following chapters.

1.2 Statement of the Problem

Because scrabble is played manually, young people are less interested in it. However, making it computer-based will encourage young people to love it.

1.3 Goal of the Project The study’s purpose is outlined as follows: To make scrabble game join the majority of other games in computer “world”
To prevent cheating in scrabble and standardise the game.
To mimic a scrabble game on a computer.

1.4 Project Justification This endeavour is warranted since making Scrabble computer-based improves learning.

1.5 Scope of the project The goal of this project is to create a computer-based scrabble game.

4

1.6 Project Report Organisation

The project is divided into six chapters. The book is divided into six chapters: Introduction, Literature Review, Methodology and System Analysis, System Design, Implementation and Testing, and Summary, Conclusion, and Recommendation.

1.7 Definition of Terms

Anchor square: A blank board square next to a put tile. Bag: Tiles that players haven’t drawn. BOR stands for Balance on Rack Player.

BS: Bonus Square Player.

Cross check set: A set of probable letters on an anchor square in relation to an adjacent word that runs vertically from the designated square. The term DAWG refers to a directed acyclic word graph.

HSW: High-scoring word player. Vowel ratio: A ratio that indicates how many of the total number of tiles are vowels. A game is any action that is performed solely for enjoyment and without a conscious goal. Programming

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]]> https://www.premiumresearchers.com/computer-based-scrabble-game/feed/ 0 AUTOMATIC HAND DRYER WITH TEMPERATURE DISPLAY https://www.premiumresearchers.com/automatic-hand-dryer-with-temperature-display-2/ https://www.premiumresearchers.com/automatic-hand-dryer-with-temperature-display-2/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51603 AUTOMATIC HAND DRYER WITH TEMPERATURE DISPLAY

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AUTOMATIC HAND DRYER WITH TEMPERATURE DISPLAY

Chapter one

INTRODUCTION

Engineering focuses on goal-oriented initiatives. Projects that can remove issues such as time lag, stress and energy consumption, cost, and environmental risks/hazards.

This project focuses on the design and construction of an automatic hand-dryer with temperature display in order to minimise the dangers and challenges connected with the manual hand-drying procedure while also displaying the temperature of the air used to dry the object.

This project is built using both passive and active components. It is also pure hardwired, meaning it does not employ micro-program control.

 

1.1 General Description of the Project

This project involves the design and implementation of an automatic hand-dryer with temperature display in numerous blocks, which are then joined to make a single functional unit. The first block of the optocoupler is made up of a laser diode and an LDR, and its output is conditioned by a 74LS132, which generates control logic.

This control logic is utilised to bias a transistor switch, which activates the electromagnetic relay and switches the dryer. The control logic also serves to activate/power the temperature display circuit.

This portion is implemented using an IC linear temperature sensor (LM35), whose output is routed to a quad-comparator with hysteresis. This comparator output resets a frequency generator

which is counted by a 2-digit decimal counting unit and displays the blower’s air temperature in degrees Celsius. The technology dries the hand and displays the temperature on a seven segment display.

1.2 Objectives of the Project

The primary goal of this project is to design and install an automatic hand dryer with temperature display. The initiative also aims to familiarise Computer Engineering graduates with electronic system designs that use digital systems and random logic.

The project’s goal is to familiarise the young graduate with engineering ethics, technical and scientific writing, and the fundamentals of engineering professional activity. It also aims to test/access the young engineers’ abilities to complete engineering projects within a specific time frame.

1.3 Significance of the Study

This project’s design and implementation of an automatic hand dryer with temperature display represents a significant advancement in automation and control. It means a lot in CEE, EEE, Physics, and Electronics.

This concept is a commercially viable product for homes and restaurants. A project of this nature, if appropriately updated, can serve as a temperature control system for the server room, kiln, and oven.

 

1.4 Scope of the Project

This project focuses on designing and implementing an automatic hand-dryer with temperature display. It includes the following: IC Liner Temperature Sensor (LM 35), Opto-coupler with LDR and laser diodes, decimal counting unit, and Quad-comparator (LM 339).

It includes additional passive and active components employed in the design. The research also examines the method of calculating the basic circuit characteristics employed in the design. This study does not go over the design of the motor used in the hand drier.

 

1.5 Project Report Organisation

This project report is divided into five chapters to clearly demonstrate the stages required in its implementation. The first chapter includes the system’s introduction and aims, while the second part focuses on the literature review and project-relevant theories.

Chapter 3 concentrates on system design and analysis, while Chapter 4 examines system implementation, testing, and results. The fifth and last chapter discusses the summary and conclusion.

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]]> https://www.premiumresearchers.com/automatic-hand-dryer-with-temperature-display-2/feed/ 0 DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME https://www.premiumresearchers.com/development-of-a-deep-learning-based-vehicle-license-plate-detection-scheme/ https://www.premiumresearchers.com/development-of-a-deep-learning-based-vehicle-license-plate-detection-scheme/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51775 DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME

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DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME

Chapter One:

Introduction

1.1 Background of the study

of Yuan et al. (2016) report a surge in interest in computer vision research due to advancements in intelligent transportation systems. This is due to its use in areas such as vehicle management, electronic payment systems (toll collection on motorways and parking fee payment), access control for monitoring areas with limited accessibility such as embassies, factories, military barracks, and so on, as well as identifying lost or stolen vehicles, border control, and road traffic monitoring (Du et al., 2013).

The first licenced plate detecting system was established in 1976 by the United Kingdom’s police scientific development section (Nguwi & Lim, 2015). At the time, the functions of the licence plate detection system were severely limited.

The purpose of number plate detection is to catch unlicensed drivers and auto thieves (Jenkins, 2007). In 2007, the automated licence plate recognition (ALPR) system was integrated with red-light cameras in the United States of America (USA) to capture drivers who drove through red traffic signals.

The camera captures the offender’s car plate information and processes it using automatic licence plate recognition (ALPR) (Jenkins, 2007).

The licence plate recognition system is separated into two parts: detection and recognition (Zhao et al., 2011). Detection is the capacity to locate the licence plate and generate appropriate bounding boxes that enclose the detected licence plate, whereas plate recognition tries to identify the characters represented within the bounding boxes and classify them as a licence plate.

Licence plate detection and recognition are two distinct processes, and research on these two techniques has always been conducted independently. Nguyen et al. (2015) devised and implemented different algorithms for the two procedures.

Licence plate detection is the most significant part of the licence plate recognition system since identification accuracy is determined by the detection stage (Zhao et al., 2011).

However, a licence plate recognition system is necessary for real-time applications, therefore a high detection rate is critical in order to meet the criteria of such applications.

Although various algorithms for licence plate detection have been developed over the last two decades, some of which require sophisticated cameras to provide high-quality images, others require vehicles to pass a fixed entry gate slowly or even halt completely (Nguwi & Lim, 2015).

All of these requirements are intended to provide a sharper view of the item. Despite these efforts, detecting licence plates in an open and noisy setting remains difficult.

The situation becomes more complicated, especially when licence plate numbers are not standardised, such as when they are faded, partially obscured by dirt, or taken in diverse environmental conditions (Fomani & Shahbahrami 2017).

Detecting these plates using typical approaches may yield numerous false positives (Li & Shen, 2016). To solve this challenge, cutting-edge deep learning techniques were investigated.

1.2 Significance of The Research

A licence plate detection system is necessary for real-time applications such as access control, traffic management, and electronic toll collection. As a result, such real-time applications necessitate a licence plate detection scheme that detects licence plates accurately and quickly, regardless of environmental conditions

resulting in a rapid, cost-effective, and highly accurate recognition system. This can be accomplished by utilising the latest image processing and deep learning technology.

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1.3 Statement of Problem

Detecting plate numbers from images is a tough operation because the images include a lot of noise, reducing their quality. These noises are caused by the photograph being captured under various weather and lighting conditions, such as uneven illumination and the presence of background clutter.

Conventional techniques, which rely primarily on specific morphological procedures, have been widely utilised for detecting licence plate position, but they have limits in real-time applications due to their temporal complexity. Some techniques, such as texture and color-based algorithms, are also not effective in detecting noisy or distorted images.

To effectively and accurately detect a licence plate from any image, regardless of background complexity, at least human level accuracy is required.

This can be accomplished by utilising a deep CNN architecture that employs a deep feature extraction strategy through a transfer learning approach. This is required to increase the detection rate while decreasing the number of false positive outcomes.

1.4 Aims and Objectives

The goal of this project is to create a deep learning-based licence plate detecting technique. The research aims are:

1. To construct a dataset of vehicle photos at Ahmadu Bello University (ABU), named the ABU dataset.

2. Develop a dCNN-based licence plate detection system.

3. Test the functionality of the devised approach on the ABU, Caltech, and PKU Vehicle I.

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]]> https://www.premiumresearchers.com/development-of-a-deep-learning-based-vehicle-license-plate-detection-scheme/feed/ 0 USE OF NETWORK ACTIVITY MONITORING SYSTEM TO SOLVE PROBLEMS https://www.premiumresearchers.com/use-of-network-activity-monitoring-system-to-solve-problems/ https://www.premiumresearchers.com/use-of-network-activity-monitoring-system-to-solve-problems/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51607 USE OF NETWORK ACTIVITY MONITORING SYSTEM TO SOLVE PROBLEMS

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USE OF NETWORK ACTIVITY MONITORING SYSTEM TO SOLVE PROBLEMS

Chapter One: Introduction
Insider attacks on computers are typically more devastating than those performed by outside intruders, which receive more attention. Insiders pose the greatest threat to computer security as they understand the organization’s business and computer systems.

They have the secrecy and access to carry out these attacks. Insider attacks are more likely to successfully gain access to crucial information. Insiders pose a significant threat to network security due to their authorised access to file systems.

To maximise profitability in a network, it’s important to monitor real-time activity, preserve secret information, and create control over everyday staff actions. The question is: how to create a system with all these potentials?

The network activity monitoring system detects inside threats by monitoring file access and process activity (Behr et al, 2009). This sophisticated programme tracks any local area network and provides precise statistics on daily user activity.

Activity Monitor provides effective control over networks in libraries, universities, and commercial organisations. This work focuses on monitoring user activities in a computer network to enhance organisational security.

1.1 Background of the Study
Since 2010, the Benue State Internal Revenue Service (BIRS) has been in charge of tax collection and accounting for the state government.

The government relies on tax revenue for decision-making, development, and administrative planning. Therefore, effective human resource management is crucial for organisations and ministries to achieve their goals and objectives.

Computer network activity monitoring systems are essential for supplying evidence in cases of computer misuse and fraud. Unwanted conduct against individuals, organisations, or assets increasingly involves the use of computers and other technologies.

Network activity monitoring systems are commonly employed to investigate computer crimes, but they can also be utilised in civil cases. The subject uses comparable procedures and ideas to data recovery, and computers store more information than people realise.

Removing all information can be more challenging than commonly assumed. Network activity monitoring systems can retrieve lost or erased information, even if it was purposely deleted.

The system consists of two applications: a server for activity monitoring and a client for remote spying. The server can be installed on any computer in the local area network, while the client is installed on all monitored devices.

1.2 Statement of Problem

The present BIRS system has been a headache for them. The BIRS struggles to maintain consistent and credible accounting statistics and estimations due to issues such as staff erasing or adding data to conceal fraud, and the lack of activity log backups.

Frauds resemble computer fraud: – Fraudulent use of a computer to transfer money or property from inside to outside the premises, resulting in loss or damage to money and securities.

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]]> https://www.premiumresearchers.com/use-of-network-activity-monitoring-system-to-solve-problems/feed/ 0 DESIGN OF AN OBSTACLE AVOIDANCE ROBOTIC CAR https://www.premiumresearchers.com/design-of-an-obstacle-avoidance-robotic-car-2/ https://www.premiumresearchers.com/design-of-an-obstacle-avoidance-robotic-car-2/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51780 DESIGN OF AN OBSTACLE AVOIDANCE ROBOTIC CAR

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DESIGN OF AN OBSTACLE AVOIDANCE ROBOTIC CAR

Chapter One: Introduction

1.1 Background for the Study

A robot is defined as a modern machine with increased technological breakthroughs, and robotics is a subset of mechatronics. It is classified as a mechanical/virtual artificial agent, typically a goal-driven machine or an electromechanical machine that is controlled by a set of computer programmes or electrical circuits.

A robot based on the medical notion that can reason and have a sense of intelligence by emulating automated movement. There are various categories and types of robots. Examples include: wheeled robots, crawling robots, and legged robots.

To accomplish this goal, the Robot incorporates four distinct subsystems: navigation, vision, programming, and wireless control, all installed on a transportable platform. A microcontroller serves as the interface between all of these subsystems.

Various advances have been made in the world of technology and robotics; some of these advancements have been observed in artificial intelligence, general security, and so on; however, the focus here is on an obstacle avoidance vehicle that incorporates knowledge from computer science

robotics, system analysis, algorithms, and electro mechanics, mechatronics, software development, engineering, and programming an autonomous robot. This study focuses on the vehicle’s capacity to identify and go around obstacles using components that enable these capabilities.

Electronics played a role in the development and launch of the first electronic autonomous robots, built in Bristol, England in 1984 by William Grey Walter, as well as the first digital and programmable robot, Unimate, invented and named by George Devol in 1954.

According to Sumit Garethiya’s dissertation, “the first ever system to detect an obstacle was developed by Delco System Operations, Goleta of California in 1988”. The study primarily focused on a safe method of detecting road hazards and informing drivers.

 

In today’s society, robots is a rapidly expanding innovation. Human existence has gotten more convenient and relaxing as technology has advanced, resulting in the creation of robots.

Robotics are utilised in regions that are too risky for humans to enter directly; these robots avoid obstacles by absorbing information from their surroundings. Robots are utilised in factories and industries to keep workers safe.

Nowadays, many sectors, such as Legos Robotics, use robots due to their high efficiency, performance, and dependability, which is extremely beneficial to human lives.

The design of an obstacle avoidance robotic car necessitates the integration of numerous components such as an ultrasonic sensor, microcontroller, diodes, motor drivers integrated circuits, DC motors, and so on, depending on their function.

This paper suggests an autonomous robotic car that can control its direction when an obstacle appears in its path. This automobile is powered by a microcontroller (PIC16F84A family). An ultrasonic sensor detects any obstacles ahead of the robotic car and transmits the signal to the microcontroller.

The input signal received determines how the microcontroller interprets it and controls the robot to move in a different direction by triggering the motors, which are accomplished via a motor driver.

The car’s main goal is to travel in a straight line, and if it detects an obstruction in its route, it uses an ultrasonic sensor to dodge the object and then continues on its own path. This self-driving robot’s primary function is to detect obstacles.

The robot obtains information from its immediate environment via the sensor fixed robot, which includes a variety of sensing devices such as an infrared sensor, an ultrasonic sensor, and cameras.

For this project, we will utilise an ultrasonic sensor attached to the front of the robot and a multi vibrator fixed to its base. Because of its wide range, an ultrasonic sensor is more suited for obstacle detection.

The ultrasonic sensor is made up of two parts: the emitter and the detector. The emitter generates a 40KHz sound wave, and the detector detects the sound wave and emits frequency signals;

when an obstacle is detected, these signals are reflected back, which is considered input to the microcontroller. Based on the ultrasonic sensor’s signal, the microcontroller controls in one of three directions: left, right, or front.

The study aims to create a robotic automobile that will operate in accordance with the code placed on it; it will move in a straight line and, if it detects an obstruction in its path, it will look for a clear space and avoid it.

The obstacle avoidance robot might be useful in a variety of settings, including industrial areas where less supervision is required, reducing the danger of human injury while working.

1.2 Statement of the Problem

Historically, the rate of accidents on a typical Nigerian road has increased with time, and it continues to rise. The primary cause of these accidents is a lack of awareness of impediments (bumps), whether they be a coming vehicle, a pedestrian, or even a pet animal on the road, and, in some cases, braking failure.

The project is an attempt to construct a robotic automobile that can identify and avoid obstacles (bumps) in its path using a sensor in order to reach the target place in an optimal manner.

With the use of obstacle avoidance technology in the car, it will automatically alert the driver (or even the car itself) of the obstacle ahead, with a possible means of avoiding the obstacle depending on the advancement of the technology, thereby effectively reducing road fatalities.

When the robot encounters an unfamiliar location, it will pause and scan the environment, allowing it to recognise any obstacles. With the use of cutting-edge equipment, the robot can avoid barriers and locate a secure path, resulting in fewer accidents and obstructions that cannot be avoided.

Once the robotic car completes a task, it will retain the task, which will help it perform better when another task is assigned based on the updated percept (a mix of the current percept and the information in its knowledge base with an internal state).

Aim and Objectives of the Study
The goal of this project is to create an obstacle avoidance robotic automobile that is effective enough to be used in modern model vehicles.

The precise objectives of this initiative include:

To review literature on engineering, mechatronics, and software development in the design, fabrication, and programming of an autonomous robot.
Design a robotic car that can detect obstacles in a controlled area.

To connect the robot to a real-time system that will allow it to fulfil given tasks.

The goal is to improve the robot’s performance and differentiate it from other obstacle avoidance robots using a unique methodology.

To analyse literature in the domains of engineering, mechatronics, and software development in the context of designing, building, and programming an autonomous robot.

Many related studies have been conducted on the engineering, mechatronics, and software development aspects of developing a robotic car.

With exposure to similar studies on obstacle avoidance, numerous aspects of computer science have been covered, ranging from software creation to the assembly of various components required to complete the project work utilising a well-structured circuit design.

We were able to gain a good understanding of the study and establish an appropriate methodology for the project.

To meet the goal of detecting barriers in an area, the following must be ensured:

The obstacle sensing unit is principally made up of an ultrasonic sensor based on the HR-SC04 model.

The Angle Scanning Unit is made up of a servomotor and a hanger attached to the sensor. It is a rotary motor that provides linear and angular positioning for the sensor.

For the robot to complete tasks utilising the real-time system, the following are needed:

Comparator Unit: operates by comparing the sensor voltage to a reference voltage, and the output voltage is supplied to the microcontroller, the robot’s decision-making unit.

Signal Processing Unit: consists of a microcontroller pre-installed with function software that supports the robot’s decision-making. Using the PIC16F84A microcontroller, which has a flash memory for fast signal response and 68 bytes of RAM for user storage.
Motor Drive Unit:

Using the signal given from the microcontroller, the motor drivers carry out the decisions made, such as turning left or right, going slowly or quickly.

Finally, a Power source Unit is required to power the entire system using a 9-volt power source.

To acquire the best possible performance from the robot and distinguish it from other known obstacle avoidance robots.

Many other people throughout the world have worked on our project, developing an autonomous robotic car using various methods and techniques.

We were able to distinguish our own robotic car from the prior work of the other researcher by creating an autonomous robotic car with a free wheel in front of it that controls the other two wheels behind it.

The robot can move in a straight line by scanning both left and right and selecting the direction that is free for it to move; if both sides are blocked, it will reverse back and stop until it finds a free area again.

Significance of the Study

Obstacle avoidance is quite useful in real life. The robotic automobile is to detect any obstacles that come its way. Obstacles include chairs, desks, bottles, walls, and so on, and the robotic car changes direction accordingly to avoid any collisions based on the pre-existing programme on the micro controller

which can only be performed when it receives a signal from the environment via the sensor mounted in front of the robotic car. This robot will be able to create basic performance by using the code programmed on it to feel the obstacle, decode the information received from the senso

and then do the appropriate duty, such as moving ahead or scanning its environment for obstacles in its path. When the complete system is merged, the car’s avoidance functionality improves significantly.

 

Scope of Study
This research aims to create an autonomous obstacle avoidance robot that uses an ultrasonic sensor to detect obstacles and make a 90˚ or 180 ˚ turn to avoid them. The microcontroller will control the robot’s normal direction. The research would be focused on obstacle avoidance utilising robotics.

Organisation of Other Chapters

This project is made up of five chapters, as described below:

The first chapter includes the introduction, problem description, system’s goals and objectives, methodology, significance of study, scope of investigation, and expected conclusion.

Chapter Two: Includes the Literature Review: To review some of the previous work in this area.

Chapter Three: Contains the design and analysis, as well as the project components.

Chapter Four contains the circuit design, Model Algorithm programmes, testing, and design implementation.

Chapter Five includes a summary, conclusion, recommendation, limitation, and suggestions for future research.

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]]> https://www.premiumresearchers.com/design-of-an-obstacle-avoidance-robotic-car-2/feed/ 0 IMPACT OF DIGITIZATION ON THE NIGERIA INSURANCE INDUSTRY https://www.premiumresearchers.com/impact-of-digitization-on-the-nigeria-insurance-industry/ https://www.premiumresearchers.com/impact-of-digitization-on-the-nigeria-insurance-industry/#respond Fri, 19 Dec 2025 09:14:32 +0000 https://www.premiumresearchers.com/?p=51615 IMPACT OF DIGITIZATION ON THE NIGERIA INSURANCE INDUSTRY

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IMPACT OF DIGITIZATION ON THE NIGERIA INSURANCE INDUSTRY

Chapter one

1.0 Introduction

1.1 Background of the Study

Over the last two decades, digital technology has revolutionised the world. Digitalization has affected almost every part of human endeavour, including government (e-tax administration system), business (e-commerce and payment solutions), travel (online booking, visa application), publication (e-books, e-news), and even finance (e-banking).

Today, the industrialised world’s services sectors, including insurance, use many types of digital technologies to facilitate their day-to-day operations.

Digitalization is used in the insurance business for information, application submission, proposal preparation, and online contract conclusion, claim notification, potential address changes, and access to customer and contract data (fadun, 2013).

The insurance industry is a significant part of the economy. It is a social technology that reduces the risk of uncertainty. It is a contract that compensates for specified losses in return for a periodic payment known as a premium.

With so many policies on most insurance companies’ bouqet lists and an ever-increasing number of customers and policy holders, it has become nearly impossible for most insurance companies to operate effectively and efficiently without the adoption and use of appropriate digitalization tools (Apampa, 2010).

The Nigerian industry has undergone a series of transformations since the introduction of information communication technology, resulting in changes to processes and activities such as bookkeeping, retrieval of customer information, customer record keeping, deposit and withdrawal, among others.

Insurance businesses have rebuilt themselves using information and communication technology to be more flexible and time mindful (Pankajaski and Shajala, 2012). Customers may now access solutions at any time and from any location, thanks to the ICT revolution.

The digital revolution is significantly transforming the business landscape, and the financial services industry is no exception. Although the ability to simplify things is a fundamental assumption of technological advancement

many financial organisations are approaching digitalization as a paradox. There is a vast range of options for new services or information processing routes.

This transition has existed in some form for decades. Information processing systems and digital-related activities have been rapidly evolving since the 1980s, but they are now infiltrating almost every aspect of business, and the next ten years will likely see more innovations in financial services than the previous fifty years (Canbo-Valverde, 2017).

According to Babalola (2017), millennials can be a major success or failure element for the Nigerian insurance industry both locally and worldwide, depending on how proactive the sector is in capitalising on the good aspects of digitization.

According to data from the Nigerian Communications Commission (NCC) website, mobile internet subscriptions in Nigeria have reached 100.9 million (100,904,668) as of February 2019. This figure is astounding given the country’s population of 195, 875,23 (internet world stat, 2018).

With Nigeria’s present insurance penetration of 0.4%, which is incredibly low when compared to South Africa’s 16.9% and Kenya’s 2.9% (Cynthia Ala, 2018), this is a fantastic achievement because engaging with the industry public becomes easier when focused on insurance.

This presents a challenge to the Nigerian insurance industry as it seeks ways to deepen penetration and boost profitability. Insurers have a unique opportunity to embrace and benefit from the digital wave, which provides a dynamic answer to many of the fundamental issues that afflict the offline world and impede growth today.

The Nigerian insurance industry has never been much of a leader when it comes to technology, but after decades of working with chunky workflows, outdated software, and lots of paper, many insurance companies are starting to get a taste of the tech bug.

Perhaps this is because hungry newcomer start-ups and investors saw an opportunity to do insurance smarter, faster, and better, or perhaps they realised how much time, money, and risk they can save by updating and automating their Whatever the reason

the insurance industry is finally moving forward, and customers are relieved that companies are entering the digital age (Newman, 2017).

Insurers have a unique opportunity to embrace and benefit from the digital wave, which provides a dynamic answer to many of the fundamental issues that afflict the offline world and impede growth today.

For Nigeria’s insurance sector to remain relevant and survive in the future financial services industry and technological world, operators must embrace digital transformation to uncover the latent potential of the twenty-first century.

1.2 Statement of the Problem

Unlike in the past, most insurance products in industrialised countries are now offered through the internet, mobile applications, and other digital applications (ET, 2018). Nigerian insurance companies are trailing behind in terms of business transactions; they continue to conduct business mostly through traditional means.

It is not surprising that just about 1.5% of Nigerian adults are insured today (PWC, 2015). More significantly, practically all insurance businesses in Nigeria use the internet, have a website, and provide online real-time e-insurance services, which has expanded the scope of insurance practice in Nigeria (Fadun, 2013).

However, a thorough utilisation of digital technologies to assist all of their processes and potential online coverage has yet to be implemented.

This study was driven, among other things, by the failure of Nigerian insurance companies to:

Increase insurance penetration.

Reduce public trust and confidence in insurance, and shift public view of the industry.

Increase income, transparency, and marketing effectiveness by leveraging digital technologies.

1.3 Aims and Objectives

This research will look at how digitalization affects insurance marketing in the Nigerian insurance industry.

1.4 Scope of the Study

The scope of the study includes:

To determine what constitutes digitalization.

To investigate various theories concerning digitization

To investigate tasks for which digital technologies can be used in insurance operations.

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