The Industrial Mathematical Innovation Center of the National Institute of Mathematical Sciences conducts various seminars with experts to find problems that can be solved with industrial mathematics, discuss solutions, and share successful cases through exchange of research with industry studies.
In response, I would like to invite Professor Han Seong-won of Korea University to conduct a seminar on industrial math and research exchanges. We ask for your interest and participation.

Title: Analysis of Weather Information Using Deep Learning
Speaker: Professor Han Seong-won (Koryo University)

Green: A study was conducted to apply artificial intelligence/dipning technology based on 4D space-time big data in search of weather journals. In this study, the characteristics of four-dimensional information, latitude, temperature, altitude, and time, were extracted using the deep learning technique, and the analysis of these characteristics provided a search system for similar days. In order to implement the search system with four-dimensional information, 10 layers of temperature and altitude data were used at the ECMWF analysis station, which was divided into 6 hours per day. In this study, we used a feature extraction technique applied to four-dimensional data with an Inception model, and we applied similar diaries to search algorithms. Using the pre-trained parameters obtained by mapping with ImageNet Dataset, diaries of the same date were also performed for 4D data, including altitude/temperature field/observe time, from Chapter 80 to GoogleNet model. Using these 80 features extracted, a 3-D sensor was created and a similarity calculation was performed. Similarity and similarity ranking were calculated using Mean Squared Error (MSE) among the features. In addition to the search for similar diaries using Deep Learning, this presentation also presented examples of the calculation of typhoon information using Deep Learning and the analysis of medical CT images.

1:00: 2018 7. 3 (Hwa) 16:00
Jang So : Pangyo Start-Up Campus 1F2
Participation application:icim.nims.re.kr
Question : 031-5171-5200 | info@icim.or.kr


※ All researchers, professors, students, business representatives, and ordinary people can attend.
※ If you would like to attend the seminar, please apply in advance on the Industrial Mathematics Portal(icim.nims.re.kr)
(This information is used only to promote events such as a seminar on Industrial Mathematical Innovation in the future.)