【Event】GSB Research Assistant (RA) presentation

Global Station for Big Data and Cybersecurity (GSB), GI-CoRE will hold GSB RA presentation as below;

Date: September 19, 2018

Venue: 2F Meme Media Laboratory(VBL )Building

The presentation consists poster session 1, introduction of GSB GI-CoRE and poster session 2.

Poster Session 1 by GI-CoRE GSB RA members 13:00-14:30

  1. Wenjun Zhou D2 in Human-centric Engineering Laboratory

Title: Co-occurrence based Foreground Detection with Hypothesis on Degradation Modification in Severe Imaging Conditions

  1. Sheng Xiang D1 in Human-centric Engineering Laboratory

Title: Robust Printing Quality Inspection on SHIBO Surfaces by Multiple Paired Pixel Consistency of Orientation Codes

  1. Kyohei Atarashi D1 in Intelligent Software Laboratory

Title: Random Feature Maps for Itemset Kernel

  1. Prasoon Ambalathankandy D2 in Integrated Quantum Systems Laboratory

Title: Adaptive Local Image Processing for Natural Looking Contrast Enhancement

  1. Wataru Noguchi D1 in Autonomous Systems Engineering Laboratory

Title: Developing Spatial Recognition in Recurrent Neural Network Model

  1. Kodai Ueyoshi D2 in Integrated Digital System Architecture Laboratory

Title: Log-Quantized DNN Inference Engine Stacked on 3D SRAM Using Inductive Coupling Technology

Introduction of GSB by Prof. Masaharu Yoshioka 14:45-15:15

Poster Session 2 by GI-CoRE GSB RA members 15:30-17:00

  1. Myat Hsu Aung D2 in Information Communication Networks Laboratory

Title: WiFi Indoor Positioning System Using Fingerprint Database Constructed by Mean-Shift Clustering with Estimated Reference Locations

  1. Keisuke Maeda D2 in Media Dynamics Laboratory

Title: Distress Classification via Neural Network Maximizing Canonical Correlation between Multi-modal Features

  1. Naoki Saitoh D3 in Media Dynamics Laboratory

Title: Tourism Category Classification Based on Novel Decision-making Process from Multiple Results

  1. Kota Ando D1 Integrated Digital System Architecture Laboratory

Title: Dither-Augmented Binary Neural Network: Achieving High Accuracy with Low-Bit-Precision Hardware for IoT Devices

  1. Jie Li D1 in Information Communication Networks Laboratory

Title: Inference of Complex Microbiome Networks: Macroecology and Entropy Balance

  1. Weiyang Zhang D1 in Optical Processing and Networking Laboratory

Title: State tomographic characterization of BB84 states generated by a Dual-Parallel Modulator

 

Please contact with GSB office at gsb@oia.hokudai.ac.jp for any further clarifications.