# Seminar CS 240415

Fredrik Ahlgren, Senior Lecturer @ Computer Science and Media Technology at Kalmar campus

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# Advancements in IoT and AI Integration: Insights from Kalmar's IoT Lab

## Introduction
- Speaker: Fredrik Ahlgren, Senior Lecturer at Linnaeus University
- https://lnu.se/personal/fredrik.ahlgren/
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- Background:
- Former technical naval officer, with experience in gas turbines, diesel engines, and electric propulsion
- Ph.D. in Energy Technology, focusing on energy efficiency and machine learning applications in maritime systems
- Research interests: Applied IoT, machine learning, and data-driven optimization
- Current roles:
- Senior Lecturer at the Department of Computer Science and Media Technology, Linnaeus University
- Project Leader of the IoT Lab initiative

### Goal:

- Share the journey and outcomes of the IoT Lab's research, Applied IoT and AI.

### Progress with IoT-lab SME

- Building a strong research environment in Kalmar with support from:
- Tillväxtverket (European Regional Development Fund ERDF)
- Region Kronoberg and Region Kalmar län
- Key collaborators and stakeholders:
- Linnaeus University (Department of Computer Science and Media Technology, Faculty of Technology; Department of Marketing and Tourism Studies, School of Business and Economics)
- Kalmar Energi and Wexnet
- Research groups and centers involved:
- The Engineering Resilient Systems (EReS)
- Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)
- Knowledge Environment Linné: Digital Transformations
- Project timeline: March 1, 2023 – June 30, 2026

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## The name IoT-lab wasn't a thing 2019 ...
- We started early 2019 with some workshops, together with Kalmar Maritime Academy.
- Was a great interest from industry. Workshop and applied.

- Grants, Kalmarmötet. Early on ... https://kalmar.se/download/18.208e2b41710a2bd319cd7/1586268009643/Internet%20of%20Things.pdf
- IoT Tech day 2019.
- https://lnu.se/mot-linneuniversitetet/aktuellt/kalender/2019/iot-tech-day-190829/
- Started early collaborations with industry.
- https://lnu.se/mot-linneuniversitetet/aktuellt/nyheter/2019/kalmar-energi--linneuniversitetet--internet-of-things--sant/


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Common view of my desktop ...


## Journey of the IoT Lab (2020-2024)
- Starting Point: Lack of research environment and vision for the IoT Lab
- Evolution: Steps taken to establish the lab, initial challenges, and milestones achieved

https://www.ericsson.com/en/reports-and-papers/white-papers/cellular-iot-evolution-for-industry-digitalization

## Teaching as a driver

We have been doing an Applied IoT course 4 years in a row.


https://lnu.se/mot-linneuniversitetet/aktuellt/nyheter/2023/tolv-timmars-iot--ai-aventyr-vid-linneuniversitetet/

{%youtube vXhb2V9iVvY%}



Link to -> [good examples](https://hackmd.io/@lnu-iot/good-examples)

## Background

- "Energy and exergy analysis of a cruise ship" (Baldi et al., 2018) and "Waste Heat Recovery in a Cruise Vessel in the Baltic Sea by Using an Organic Rankine Cycle" (Ahlgren et al., 2016)

# Highlighted Projects

## IoT-lab SME main driver






## ChatGPT

## Industry Collaborations
- Overview of 15+ pilot cases with companies
- Diversity of projects and impact on research output
- Example: "Industry-Academia Cooperation: Applied IoT Research for SMEs in South-East Sweden" (Musaddiq et al., 2023)

### Securing Cargo

### Connected Beehives

- Project goal: Monitor bee health and productivity using IoT devices
- Broader implications for IoT in agriculture


### M/S Dessi Connected Ships
- Using IoT to enhance maritime operations


### IoT for Ships – An Untapped Data Resource

- Seed project to study the access and exploitation of new data resources in IoT for the shipping industry
- Collaboration between:
- Fredrik Ahlgren, Faculty of Technology, LNU (Project Leader)
- Björn Pundars, Kalmar Maritime Academy, LNU (Maritime faculty & industry need owner)
- Håkan Lundström, Sensative AB (External IoT expertise and software provider)
- Objectives:
- Install IoT sensors on the Kalmar Maritime Academy's ship, Calmare Nyckel
- Provide access to data for researchers and students via API
- Promote IoT technology and platform within other faculties for research applications
- Create a platform for the maritime academy to develop the IoT testbed for research
- Draft a proposal for a follow-up project
- Develop a demo application
- Challenges addressed:
- Limited data sources and systems available in the maritime industry
- Vertical systems on board ships that often don't communicate with each other
- High costs of installing new sensors on older ships due to wiring requirements
- IoT provides a new and effective tool to access more data, enabling intelligent decision-making systems

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## AI Integration in IoT Research
### Machine Learning for Fuel Prediction
- Applying ML to predict fuel consumption in maritime engineering
- Reference: "Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods" (Xie et al., 2023)

### Reinforcement Learning in IoT
- Theoretical and practical challenges of RL in IoT environments
- Reference: "Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges" (Musaddiq et al., 2023)

### ChatGPT in Research
- Using generative AI like ChatGPT for data analysis
- Enhancing research methods and outcomes
- Discuss potential based on recent experiments

## Impact and Future Directions
- Key publications demonstrating IoT Lab's contributions
- Real-world applications and impact on IoT/AI education
- Upcoming research projects leveraging IoT and AI
- Long-term vision for IoT Lab - collaborations, tech advancements, educational initiatives

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