ASM1 1625 I express my gratitude to, Study Guides, Projects, Research of Mobile Computing

Download ASM1 1625 I express my gratitude to and more Study Guides, Projects, Research Mobile Computing in PDF only on Docsity! Higher Nationals - Summative Assignment Feedback Form Student Name/ID Le Dang Tuan Anh Unit Title Managing a Successful Computing Project Assignment Number ASSIGNMENT 1 Assessor Nguyen The Lam Tung Submission Date 12/12/2023 Date Received 1st submission 12/12/2023 Re-submission Date Date Received 2nd submission Assessor Feedback: Grade: Assessor Signature: Date: Resubmission Feedback: Grade: Assessor Signature: Date: Internal Verifier’s Comments: Signature & Date: Anh 12/12/2023 04.85-BM/ĐT/HDCV/FE 1/0 Table of Contents Part 1: Project Management ......................................................................................................................................... 4 I. Introduction (about the chosen scenario) .............................................................................................................. 4 II. Project initialization (P1) ....................................................................................................................................... 4 -Main aim of the project ....................................................................................................................................... 4 Here are key objectives and benefits associated with this project: ...................................................................... 4 - List of Objectives to achieve the aim (Note Objective should be SMART) ......................................................... 6 III. Project Management Plan: (P2) ........................................................................................................................... 8 Scope: What does the project do and don’t do .................................................................................................... 8 Time : state how many months/weeks/years ..................................................................................................... 10 Communication: Type/Frequent Use .................................................................................................................. 11 Risks: Name of risk, Priority, Suggestions / Actions ........................................................................................... 13 Planning Risk Monitoring ................................................................................................................................... 13 Resources: Tools (hardware, software) and human ........................................................................................... 14 Cost estimation: identify how many man-month + cost for tools ...................................................................... 16 III. Planning (P3) ....................................................................................................................................................... 19 WBS ..................................................................................................................................................................... 19 B) Gantt Chart ...................................................................................................................................................... 24 Part 2: Research (P4) ................................................................................................................................................... 24 04.85-BM/ĐT/HDCV/FE 1/0 Part 1: Project Management I. Introduction (about the chosen scenario) In the field of technology, the appearance of smartwatches with health awareness capabilities help people pay more attention to their health and healthy lifestyles. This project focuses on exploring smartwatches as health awareness tools, with a view to understanding their potential and significance in our lives. As a member of the Research and Development department, you are assigned a small project to explore the potential of Big Data and IoT applications of smart watches to control health problems well. II. Project initialization (P1) -Main aim of the project The main aim of exploring the application of Big Data and IoT/AI to the future development potential of smartwatches is to leverage these technologies to enhance the capabilities, functionality, and overall user experience of smartwatches. Here are key objectives and benefits associated with this project: • Data Collection and Analysis: Utilize Big Data technologies to collect and analyze large volumes of data generated by smartwatches. This could include user activity, health metrics, location data, and more. Extract meaningful insights from the collected data to better understand user behavior, preferences, and patterns. • Enhanced User Experience: Implement AI algorithms to personalize the user experience based on individual preferences and habits. Use machine learning to predict user needs and automate certain functions, such as suggesting relevant notifications, adjusting settings, or recommending health and fitness activities. • Health and Wellness Monitoring: Integrate IoT sensors for health monitoring, allowing smartwatches to track and analyze vital signs, physical activity, and sleep patterns. Apply AI algorithms to interpret health data, provide real-time feedback, and offer personalized health recommendations. • Smart Notifications and Alerts: Employ AI to filter and prioritize notifications based on user context, location, and preferences. 04.85-BM/ĐT/HDCV/FE 1/0 Utilize Big Data analytics to identify patterns in notifications, helping users manage and respond to alerts more efficiently. • Interconnected Ecosystem: Develop an ecosystem where smartwatches seamlessly connect with other IoT devices, creating a unified and interconnected smart environment. Use Big Data to optimize device interactions within the ecosystem, ensuring a smooth and efficient flow of data between devices. • Predictive Maintenance: Implement predictive maintenance using IoT to monitor the smartwatch's hardware and software components. Leverage Big Data analytics to anticipate potential issues, enabling proactive maintenance and reducing downtime. • Security and Privacy: Implement robust security measures to protect the sensitive data collected by smartwatches. Use AI to detect and respond to potential security threats, ensuring user data remains confidential. • Energy Efficiency: Optimize power consumption through AI algorithms that adapt to usage patterns, extending battery life. Use IoT to monitor energy levels and provide intelligent notifications to users for efficient power management. By combining the capabilities of Big Data, IoT, and AI, this project aims to push the boundaries of what smartwatches can offer in terms of user engagement, health and wellness monitoring, and seamless integration into the broader ecosystem of connected devices. - List of Objectives to achieve the aim (Note Objective should be SMART) Here's a list of objectives tailored to explore the application of Big Data and IoT/AI to the future development potential of smartwatches: • Objective: Implement Real-time Health Monitoring Specific: Develop a system to collect and analyze health data from smartwatches in real-time. Measurable: Achieve a 20% reduction in response time for health-related notifications. Achievable: Utilize existing IoT sensors and integrate AI algorithms for immediate health insights. Relevant: Prioritize health monitoring to enhance user well-being. Time-bound: Implement the real-time health monitoring system within the next six months. 04.85-BM/ĐT/HDCV/FE 1/0 • Objective: Personalize User Experience with AI Specific: Implement machine learning algorithms to personalize smartwatch interfaces based on user behavior. Measurable: Increase user satisfaction scores by 15% through user surveys. Achievable: Leverage historical user data and preferences to tailor recommendations. Relevant: Enhance user engagement by delivering customized experiences. Time-bound: Achieve full implementation within the next quarter. • Objective: Optimize Energy Consumption for Extended Battery Life Specific: Develop AI algorithms to optimize power consumption based on user activity patterns. Measurable: Increase average battery life by 25% in the next product release. Achievable: Implement power-saving measures without compromising essential features. Relevant: Address a common user concern and improve overall satisfaction. Time-bound: Implement and test the energy optimization algorithms within the next five months. • Objective: Enhance Interconnected Ecosystem Specific: Establish seamless connectivity between smartwatches and other IoT devices within the ecosystem. Measurable: Increase the number of interconnected devices by 30%. Achievable: Develop standardized protocols for device communication. Relevant: Create a comprehensive smart environment for users. Time-bound: Complete the integration process within the next eight months. • Objective: Improve Security Measures Specific: Strengthen security protocols to safeguard sensitive user data. Measurable: Achieve a 15% reduction in reported security incidents. Achievable: Implement multi-layered encryption and continuous monitoring. Relevant: Ensure user trust and data integrity. Time-bound: Enhance security measures within the next three months and conduct regular audits thereafter. • Objective: Implement Predictive Maintenance for Smartwatches Specific: Integrate IoT sensors to monitor hardware components for predictive maintenance. Measurable: Reduce unplanned downtime by 20%. 04.85-BM/ĐT/HDCV/FE 1/0 Integration with third-party services or devices beyond the defined ecosystem is not a primary focus. • Legal Compliance: While security measures are addressed, the project does not cover legal compliance aspects, such as regulatory certifications. • Customization for Specific Brands: Customizing the solution for specific smartwatch brands or manufacturers is not explicitly within the project's scope. This clear delineation of what the project does and does not encompass ensures a focused and well- defined approach to achieving its objectives. Time : state how many months/weeks/years • Real-time Health Monitoring: Implement the real-time health monitoring system within the next six months. • Personalize User Experience with AI: Achieve full implementation of personalized user experiences within the next quarter. • Optimize Energy Consumption: Implement and test the energy optimization algorithms within the next five months. • Enhance Interconnected Ecosystem: Complete the integration process for an interconnected ecosystem within the next eight months. • Improve Security Measures: Enhance security measures within the next three months and conduct regular audits thereafter. • Predictive Maintenance: Implement and test predictive maintenance within the next six months. The timeline for each objective is designed to be realistic and achievable while considering the complexity and dependencies of the tasks involved. Regular assessments and adjustments to the timeline may be necessary throughout the project to ensure successful implementation within the specified timeframes. 04.85-BM/ĐT/HDCV/FE 1/0 Communication: Type/Frequent Use Effective communication and diverse communication channels are important to keep all team members informed, on the same page, and engaged throughout the project. Regular feedback and adjustments to the communication strategy may be necessary based on evolving project needs. Below are frequently used communications: • Weekly Meeting: Hold weekly meetings to discuss progress, challenges, and upcoming work. Use online meeting tools for remote teams and in-person meetings for teams working at the location. • Situation Report: Provide bi-weekly status reports, presenting achievements, milestones, and issues encountered. Use a standard format to ensure clarity and consistency. • Cooperation Platform: Use collaboration platforms (e.g. Slack, Microsoft Teams) for real-time communication and quick updates. Maintain separate channels for different aspects of the project to optimize discussion. • Email: Use email for formal communication, document sharing, and important announcements. Encourage the use of clear subject lines and concise messages to optimize communication. • Project Management Tools: Use project management tools (e.g., Jira, Trello) to track work, assign tasks, and monitor progress. Ensure all team members have access to and are proficient in using these tools. • Sharing and Managing Document Versions: Set up a centralized repository for project documents using platforms like Google Drive or SharePoint. Implement version management to track changes and maintain a single source of truth. • Direct messages: Use online messaging platforms for quick, informal discussions. Encourage team members to respond quickly during business hours to optimize timely communication. 04.85-BM/ĐT/HDCV/FE 1/0 • Collaboration Between Functional Teams: Organize regular collaboration between functional groups to ensure project alignment. Schedule joint meetings to resolve dependencies and promote a holistic view of progress. • Update for Customers/Stakeholders: Provide monthly updates to customers and stakeholders on project milestones, achievements, and any adjustments to time plans. Hold regular review meetings to gather feedback and address concerns. • Emergency Communication Plan: Develop a protocol for emergency issues, including a designated communication channel and escalation procedures. Ensure team members are aware of emergency communication procedures and points of contact. • Training sessions: Organize training sessions on new tools, methods, or technologies introduced in the project. Adjust promptly to keep working performance. Risks: The type of risk, risk, probability of occurrence, impact and solution. Planning Risk Monitoring Risk ID The type of risk Risk Probability of occurrence Impact Solution 1 Technological Risk The technology used in the smartwatches may face unexpected glitches or failures. Moderate to High Significant delays in the project timeline, increased development costs, and potential damage to the company's reputation. Conduct thorough testing at each stage of development, implement a robust quality assurance process, and have contingency plans in place for technical issues. 2 Regulatory and Compliance Risk Changes in health monitoring regulations or compliance requirements. Moderate Legal issues, fines, or the need for costly redesign to meet new regulations. Regularly monitor and stay updated on relevant regulations, involve legal experts in the project, and design the product with 04.85-BM/ĐT/HDCV/FE 1/0 Human Resources: Role Responsibilities Skills Required Project Manager Overall project coordination and management Project management, leadership Software Developer Coding and implementation of embedded software Programming (e.g., C++, Java), problem-solving Mobile App Developer Development of the companion mobile application Mobile app development, UI/UX design Hardware Engineer Design and development of smartwatch hardware Electronics, hardware design UI/UX Designer Designing the user interface and user experience Graphic design, user experience design Algorithm Engineer Implementing health monitoring algorithms Data analysis, algorithm development Quality Assurance (QA) Testing and ensuring software quality Testing methodologies, attention to detail Network Engineer Handling connectivity protocols and communication Networking, communication protocols Security Specialist Implementing security measures for the project Cybersecurity, encryption techniques Data Analyst Analyzing user and health data for insights Data analysis, statistical skills . 04.85-BM/ĐT/HDCV/FE 1/0 Cost estimation: Man-month: Role Estimated Hourly Rate ($) Estimated Hours per Day Estimated Days per Month Estimated Salary for Month ($) Project Manager 6 8 23 $1,104 Network Engineer 5 8 23 $920 UX/UI Designer 5 8 23 $920 Software Developers 5 8 23 $920 Hardware Engineers 5 8 23 $920 QA Engineers 5 8 23 $920 Mobile App Developer 5 8 23 $920 Algorithm Engineers 5 8 23 $920 Data Analyst 5 8 23 $920 Security Specialist 5 8 23 $920 Total 51 80 230 $9,384 Cost for tools: Hardware Tools: Hardware Resource Estimated Cost ($) Microcontroller Development Kit $40 Digital Calipers $60 Soldering Kit $30 Prototyping Breadboard $80 Jumper Wires $150 Basic Sensors (e.g., temperature) $30 Biometric Sensors Development Kit $120 Display (e.g., basic LED) $20 Power Source (e.g., basic battery) $80 Total $610 Software Tools: Software Resource Estimated Cost ($) Embedded Software/Firmware $300 Mobile Application Software $150 04.85-BM/ĐT/HDCV/FE 1/0 Software Resource Estimated Cost ($) Health Monitoring Algorithms $100 User Interface (UI) Design Tools $100 Integrated Development Environment (IDE) $50 Version Control System $350 Database Management System (DBMS) $150 Connectivity Protocols $100 Security Software $100 Testing Tools $100 Data Analytics Tools $100 Documentation Tools $100 Total $1,800 III. Planning (P3) WBS Define: A Work Breakdown Structure (WBS) is a project management tool designed for the systematic completion of large and complex projects. It adopts a step-by-step approach by breaking down the project into smaller components, allowing for the integration of scope, cost, and deliverables within a unified tool. While typically structured around deliverables, WBS can also take a phase-based approach. It involves a hierarchical breakdown of project tasks, ensuring a comprehensive definition of the project scope. Each descending level provides a more detailed view of the project work and is further decomposed into work packages. The WBS focuses on both internal and external deliverables, facilitating a clear and organized understanding of the entire project scope. I began building the Work Breakdown Structure (WBS) for the project. 04.85-BM/ĐT/HDCV/FE 1/0 2.6. Prepare necessary documents for the Project Reference materials such as books and articles on the project topic. 2.7. Plan to conduct the survey Plan to survey users via Google Forms. Includes 4 small parts: 2.7.1. Schedule a survey 2.7.2. Choose a platform to create a survey 2.7.3. Prepare multiple-choice questions for surveys 2.7.4. Identify survey participants 2.7.1. Schedule a survey Set a time to survey users. 2.7.2. Choose a platform to create a survey Choose survey platforms that are easy and user-friendly. 2.7.3. Prepare multiplechoice questions for surveys Multiple-choice questions help users choose the correct answer of their choice. 2.7.4. Identify survey participants Determine information about survey participants. 3. Conduct survey Conduct a survey through Google Forms to be able to collect information from people, health data, and how people use smartwatches, then I will aggregate the data and finally collect the data. 04.85-BM/ĐT/HDCV/FE 1/0 3.1. Take the survey Conduct user surveys through Google Forms. 3.2. Survey evaluation Evaluation after surveying to collect data from users. 3.3. Collect data Specify the type of data to collect from the survey, including health data from smartwatches. 4. Analyze data Collect data and statistics from survey respondents for the project. 4.1. Data preprocessing Clean, transform, and prepare the collected data for analysis. 4.2. Data classification The process of organizing and classifying data into different classes or levels based on its sensitivity, importance, and security. 4.3. Data statistics Collection of numerical information that has been analyzed, organized, and interpreted to reach a conclusion or make a decision. 4.4. Data testing Data quality testing, is the critical process of ensuring that data used for analysis, reporting, and decision-making is accurate, consistent, and reliable. 5. Report writing This is the procedure for composing a report on assessing and comprehending data gathered from the survey. 04.85-BM/ĐT/HDCV/FE 1/0 5.1. Prepare report structure Prepare data results after collection and record results. 5.2. Write detailed reports Write comprehensive reports presenting survey methods and data collection for the project. 5.3. Reference documents Reference materials on the project topic. 6. Project Closure Project closure is a crucial phase in the project management process where a project is formally completed, and all aspects of the project are brought to a conclusion. 6.1. Review project Objectives Evaluate whether project goals are being met and review the original scope to ensure that all goals have been addressed. 6.2. Summarize Key Findings Provide a brief summary of the most important research findings. 6.3. Lessons Learned and Future Developments Reflect on project successes and challenges, document lessons learned, and make suggestions for future research or development. B) Gantt Chart 04.85-BM/ĐT/HDCV/FE 1/0 Activity How to Do It Result 3.2 Survey Evaluation I will issue an evaluation sheet after the survey to collect data from users. I will issue an evaluation sheet after the survey to collect data from users. 3.3 Collect Data Collect detailed information about users' health data Structured health data warehouse Analyze data: Activity How to Do It Result 4.1 Data Preprocessing Clean, transform, and prepare collected data Clean, organized, and transformed dataset ready for analysis 4.2 Data Classification I will organize and classify data into classes according to different levels based on its sensitivity, importance, and security The result of data classification is an accurately trained model capable of classifying new. 4.3 Data Statistics I will collect numerical information that has been analyzed, organized, and interpreted to reach a conclusion or make a decision Comprehensive understanding of dataset characteristics, distributions, relationships, and potential outliers 4.4 Data Testing I will check data quality to ensure that the data used for analysis, reporting, and decisionmaking is accurate, consistent, and reliable The result of data statistics is a comprehensive understanding of the dataset's characteristics, distributions, relationships between variables, and potential outliers. Report writing: Activity How to Do It Result 5.1 Prepare Report Structure Prepare data results and document Well-organized, clear, and comprehensive report 5.2 Write Detailed Reports Write a comprehensive report The result of a well-written detailed report is a document that effectively conveys information, insights, and recommendations in a structured and clear manner. 5.3 Reference Documents Provide references on the project topic The result of handling reference documents effectively is a well-supported, credible, and trustworthy document. Project Closure: Activity How to Do It Result 6.1 Review Project Objectives Assess if objectives are met and review scope The result of a through review of project objectives is a clear understanding of the project's direction 6.2 Summarize Key Findings I will provide a brief summary of the most important research findings. The result of summarizing key findings effectively is a concise, clear, and insightful presentation of the most important outcomes of the study. 6.3 Lessons Learned and Future Developments I will reflect on the successes and challenges of the project, document lessons learned, and make suggestions for future research or development. The result of analyzing lessons learned and planning for future developments is an informed, proactive approach to project management or research endeavors. 04.85-BM/ĐT/HDCV/FE 1/0 Part 2: Research (P4) I .Primary Research: Overview about Interview/Survey (Who, What, Why, When, Where) Who: Participants: Target participants or interviewees identified based on project goals. Stakeholders, users, experts, or specific demographics relevant to the research. Interviewers/Survey Conductors: Trained personnel or researchers responsible for collecting data. May include project team members, external researchers, or specialists. What: Purpose: Gather information, opinions, or feedback related to a specific topic or project. Content: Structured set of questions for interviews or a questionnaire for surveys. Questions designed to elicit valuable insights and responses. Why: Objectives: Understand user needs, preferences, or expectations. Gather data to inform decision-making, validate hypotheses, or assess project feasibility. Benefits: Obtain qualitative and/or quantitative data for analysis. Enhance project understanding and improve outcomes. Validate or refine project assumptions. When: Timing: Scheduled based on project timelines and milestones. Conducted at relevant project phases, e.g., before, during, or after implementation. Frequency: One-time interviews or surveys for specific insights. Periodic interviews/surveys for ongoing feedback. Where: Location: On-site, remote, or a combination based on participant accessibility. Virtual interviews/surveys conducted through online platforms. Context: Interviews may take place in natural settings or controlled environments. 04.85-BM/ĐT/HDCV/FE 1/0 Surveys can be distributed electronically or in-person, depending on convenience. List of interview questions (include opened and closed questions) General Questions: • Closed Question: How familiar are you with the current trends and advancements in Big Data and IoT applications in the healthcare sector? • Open Question: Can you provide an overview of the role that Big Data and IoT play in improving health-related technologies? Big Data in Healthcare: • Closed Question: In your opinion, how important is Big Data in revolutionizing healthcare, especially in managing and analyzing health data from wearable devices? • Open Question: What are some specific ways in which Big Data analytics can contribute to personalized health management through smartwatches? • Closed Question: Have you encountered any challenges related to data privacy and security when dealing with Big Data in healthcare applications? IoT in Healthcare: • Closed Question: How crucial do you think IoT is in connecting and integrating data from various healthcare devices, including smartwatches? • Open Question: Can you share examples of successful IoT implementations in healthcare, specifically focusing on wearable devices like smartwatches? • Closed Question: What protocols or standards do you consider essential for ensuring seamless communication and interoperability in IoT healthcare applications? Smartwatches in Health Control: • Open Question: In your view, how effective are smartwatches in promoting preventive healthcare, especially in the context of monitoring and controlling health issues? 04.85-BM/ĐT/HDCV/FE 1/0 BE @ AMG ~— Pearson | srec TO CHUC GIAO DUC FPT Aone nth IG, eucin How frequently do you use a smartwatch? Daily Several times a week Occasionally Rarely Never Which brand and model of smartwatch do you currently use, if any? Short-answer text How interested are you in using a smartwatch for monitoring and controlling your health? Very interested Somewhat interested Neutral Not very interested Not interested at all Figure 4: Question 3,4,5 04.85-BM/DT/HDCV/FE 1/0 BE @ AMG ~— Pearson | srec TO CHUC GIAO DUC FPT Aone nth IG, eucin What specific health parameters or conditions would you like a smartwatch to help you monitor or control? Long-answer text How confident are you in the ability of smartwatches to contribute to the prevention and management of health problems? Very confident Somewhat confident Neutral Not very confident Not confident at all Figure 5:Question 6,7 04.85-BM/DT/HDCV/FE 1/0  Figure 6:Question 8,9,10 Summary about survey The survey questions provided are crafted to assess the perspectives, preferences, and expectations of customers and users regarding the potential of Big Data and IoT applications in smartwatches for health control. The survey covers a range of topics, including current smartwatch usage, interest in health 04.85-BM/ĐT/HDCV/FE 1/0 Figure 8:Answer 2 Men are more interested in this issue than women, accounting for more than 60%. Figure 9:Answer 3 Looking at the chart shows that the number of daily and day in week smart watch usage accounts for 45.5% and 27.3% respectively. Figure 10:Answer 4 Looking at the chart shows that the number of Apple smartwatch users accounts for a large number of 50%. 04.85-BM/ĐT/HDCV/FE 1/0 Figure 11:Answer 5 The problems that users want smart watches to bring them Figure 12:Answer 6 Looking at the graph gives users confidence that the smartwatch helps them to contribute to the prevention and management of health problems 04.85-BM/ĐT/HDCV/FE 1/0 Figure 13:Answer 7 Health-related features considered essential by users in a smartwatch Figure 14:Answer 8 Almost all opinions say that it is important and true that in real time, the device can accurately predict our body's condition at that time. 04.85-BM/ĐT/HDCV/FE 1/0 Investigate literature and reports on data privacy and security concerns associated with health-related data generated by smartwatches, focusing on existing safeguards and challenges. Advantages of Secondary Research: • Access to Existing Knowledge: Secondary research provides quick access to a wealth of existing knowledge, enabling a rapid understanding of the current state of Big Data, IoT, and smartwatches in health control. • Cost-Efficiency: Secondary research is cost-effective as it utilizes pre-existing data and literature, reducing the need for extensive primary data collection. • Time Savings: The time required for secondary research is generally shorter compared to primary research, allowing for a timely review of a broad range of information. • Historical Context: Secondary research can provide historical context and trends, helping to identify the evolution of smartwatches in health applications. Disadvantages of Secondary Research: • Quality of Data: The quality and reliability of secondary data depend on the sources, and there is a need to critically evaluate the credibility of the information. • Limited Specificity: Secondary research may not provide highly specific information tailored to the unique objectives of the research project. • Potential Bias: Information from certain sources may carry biases, and it's crucial to recognize and account for any inherent biases in the available literature. Approach to Synthesis: 04.85-BM/ĐT/HDCV/FE 1/0 The synthesized findings from the secondary research will help in developing a comprehensive understanding of the current landscape, trends, challenges, and potential areas for improvement in the integration of Big Data and IoT in smartwatches for health control. The information gathered will lay the foundation for further exploration and potential areas of focus in subsequent primary research or project development. - List of articles /books (at least 3 books/2 articles and other internet sources) List of articles /books Daniel Lee Andersen, C. S. A. A. N. B. K., 2020. Significance of big data analytics and the internet of things (IoT) aspects in industrial development, governance and sustainability. [Online] Available at: https://www.sciencedirect.com/science/article/pii/S2666603020300294 [Accessed 12 12 2023]. Le, V., 2023. Gain Valuable Insights into the IoT and Big Data Combination. [Online] Available at: https://www.orientsoftware.com/blog/iot-and-big-data/ [Accessed 12 12 2023]. Nilanjan Dey, A. E. H. C. B. A. S. A. S. C. S., 2018. Internet of Things and Big Data Analytics Toward Next- Generation Intelligence. 1 ed. s.l.:Springer Cham. Valentina E. Balas, V. K. S. R. K., 2020. Internet of Things and Big Data Applications. 1 ed. Switzerland: Springer Cham. Vijender Kumar Solanki, V. G. D. J. P. D., 2019. Handbook of IoT and Big Data. 1 ed. s.l.:2021. - Summarize about articles/Books you have read Handbook of IoT and Big Data : This book focuses on the latest workings of IoT and Big Data. It covers the emerging role of technologies and the fast-growing market of Big Data. The book is divided into 4 sections that cover IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as healthcare, manufacturing, and automation. Internet of Things and Big Data Analytics Toward Next-Generation Intelligence : This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and effective IoT systems. It covers the latest developments in IoT and big data analytics, including machine learning, data mining, and cloud computing. Internet of Things and Big Data Applications : This book provides an overview of the latest research on IoT and big data applications. It covers the latest developments in IoT and big data analytics, including machine learning, data mining, and cloud computing. The book also discusses the challenges and opportunities of IoT and big data applications. 04.85-BM/ĐT/HDCV/FE 1/0 - Evaluation about I’m understanding In exploring the potential of Big Data and IoT applications in smartwatches for controlling health problems, several key aspects come to light: Data Collection and Monitoring: Smartwatches equipped with sensors can collect a diverse range of health-related data in real-time. This includes heart rate, sleep patterns, physical activity, and more. The integration of Big Data allows for the storage and analysis of vast amounts of health data, providing a comprehensive picture of an individual's well-being. Predictive Analytics: Big Data analytics enable the identification of patterns and trends in health data. This can be leveraged for predictive analytics to anticipate potential health issues before they become critical. Predictive models can provide insights into conditions such as irregular heartbeats, sleep disorders, or stress, allowing for proactive intervention. Personalized Health Insights: The combination of Big Data and IoT allows for the personalization of health recommendations. Smartwatches can provide tailored insights and suggestions based on an individual's health data and preferences. This personalization enhances the user's engagement with health monitoring, making it more likely that they will adhere to recommended lifestyle changes. Remote Patient Monitoring: IoT connectivity enables the transmission of health data from smartwatches to healthcare providers in real-time. This facilitates remote patient monitoring, allowing healthcare professionals to monitor patients' health status without physical presence, improving overall healthcare accessibility. Integration with Healthcare Systems: The integration of smartwatch data with existing healthcare systems can streamline medical processes. This can lead to more efficient diagnoses, better-informed treatment plans, and improved overall healthcare outcomes. Interoperability standards become crucial to ensure seamless integration between wearable devices and healthcare information systems. Challenges: 04.85-BM/ĐT/HDCV/FE 1/0 GD. <2 edexcel 16 CHUC GIAO DUC FPT advancing learning, changing lives  04.85-BM/ĐT/HDCV/FE 1/0 45/ 45