R - TAIDE Knowledge Graph

Hello everyone. I'm Yu-Qi Zhang from TMU, the Ph.D student from Kubota Lab. From the workshop, we have the recommendation for the travel and GAI model. I think it's a good way to let the high-school student and college student to understand the fuzzy membership how it works with the learning tools. I think is a good way to let them to improve their engagement and motivation to the learning and make theoretical modality much better. Okay, thank you and thank you.

Hello everyone. My name is Franz and I am also from Kubota laboratory and currently I am a master student. But, today I could learn about some new algorithms for me which was particle swarm optimization. I like this kind of Workshop because I could see not only the introduction to this new algorithm but also I could see the application of it. So, I could learn some new topics and also I think that spreading this to the world like this minimal platform that can work are really beneficial to the students. So, I think it should be done more often. I also see that this is beneficial because it can make implementation of some task more fast. And, it also opens the option to make a collaboration like in GitHub repositories. As I said, the team also requires the help of many people like correcting the language translations and everything. So, I think having already done, a small job, that works can open the doors to have more collaborations. I think it can also encourage a student like trying this new technology for their own applications like you were discussing. Thank you for sharing your development with everyone. Okay, thank you.

Hi, I am Syadza from Kubota laboratory, Tokyo Metropolitan University. Thank you Professor Lee. Today's workshop was very interesting. Actually, I got really practically how I implemented the fuzzy, and how I implemented the theory with this really interesting practical thing today. Then, I got learn more about the particles swarm optimization that I got wow, this thing is very useful for these applications. And, then about the text to the image, it is really useful and I got interested how to use it to do my research in the future. I think it's enough. Thank you. So, is it possible for you to promote to Indonesia for this learning tool in the future? In future because we would like to promote this Quantum CI to different countries, for example, to Malaysia, to Hong Kong, and to China. So, we hope in the future, you will be the one of the tutors in Indonesia. Okay. It's very interesting. So, we hope IEEE can support some funding to Indonesia because this year IEEE supports funding to Japan and maybe next year to different countries. So, okay. Thank you. Thank you.

Hi, I'm Kazuki Tainaka from Kubota Laboratory in Tokyo Metropolitan University. First of all, I'm really glad to be here to involve in this workshop. Throught this Workshop, I was able to learn the basic ideas of the computational intelligence and also the method of PSO. I wasn't really close to the computational intelligence technology throughout my recent research. But I am planning to and I have to concern those kind of technology and involve it to my methods, and I propose from now on. So, today I had a really good experience for me to continue my research. Thank you. Okay, thank you.

Hello, I am Hasan Imaduddin from Kubota Laboratory, a Ph.D student, and I am very happy to be at the workshop today. What I like this workshop is to make image from text, because last year, I also joined this workshop which makes an image from text using Discord. But today,  we used it to perform using different method at the workshop. Ok. Thank you. Thank you.

I'm Takano Mahiro from Kubota Laboratory. Today's Workshop was very interesting. I can learn about CI, machine learning, and fuzzy neural network, and optimization. PSO is a new idea for me. In the future, I will use CI in my research. Thank you. Okay, thank you.

Hello everyone. My name is Alfin Junaedy from CcSR 2024, participant. I think this is very interesting and it's easier for us to understand. It's very joyful to play with. Thank you very much for all Professors here to give such an interesting tool for us to play and practice. Thank you very much. Okay, thank you.

Okay. Today, I try to share how to run the fuzzy using the website and the tools to the participants. Okay. It's a good experience. Thank you. Okay, thank you. Thank you.

Hello, my name is Hasan Imaduddin, and I am a Ph.D student from Tokyo Metropolitan University in Japan. Today, I am very happy to join this workshop. I remembered that last year, I took the same workshop and the topic is to create image by using the sentence and today we did it again not using the Midjourney application but using our own developing application. I am happy to see that. Thank you very much. Okay, thank you. Thank you, Hasan.

Thank you very much for the hands-on session just now in the breakout room. So, honestly, this is my first time, I mean, undergoing this together with my students just now in the Lab. It was a very good and first experience for us because our background is the electronic engineering. We did some coding with Aduino, and so on but in terms of the computational intelligence, this morning session or demonstration and hands-on session was our first experience actually. And, it's a very good first experience and everyone here actually is looking forward to explore more on the platform, especially with the connection with the other hardware or components in the physical or in the circuit actually. So, thank you very much for the experience and for the guides from step to step. The platform looks very user-friendly, especially for the first time users like us just now. It's just like the details of the terms that we need to find out or explore more later. So, we are looking forward to having, hopefully, another training later when we have the equipment with us and the hardware with us so that we can explore more. And, of course, we are looking forward to facilitating and being part of the trainers for next month training in Malaysia. All right, so thank you very much once again. Okay, thank you, thank you, Hafiz. So, see you in Malaysia next month. Okay, see you.

Hello, I am Qing-Wei Song from Tokyo Metropolitan University. Now, I learned a lot from the machine model and I succeeded to run it with MQTT. The device makes me very happy. I think it is a funny and interesting device that I can use it in the future. Thank you. Okay, thank you, Song san.

Hello, I am Syadza Atika Rahmah from Tokyo Metropolitan University, Kubota Laboratory. In this Workshop, I am really excited to share my experience to the other students here in CcSR 2024. And, hopefully, ... I'm very excited and it's very successful, and very joyful Workshop to me and to the others. So, thank you Professor Chang-Shing Lee. It's a really good Workshop. Thank you. Okay, thank you, Syadza. Thank you.