The First International Workshop on Big Data and Smart Computing for Military and Defense Technology

BigDefense 2021

January 2021 In conjunction with IEEE BigComp 2021 Organized by Big Data Research Institute of Konkuk University

Purpose and Scope

In BigDefense 2021 workshop, we will discuss innovative research results about computing and information technologies, such as artificial intelligence (AI), machine learning, big data, IoT, ubiquitous communication, UI/UX, SW platforms and frameworks to design and implement intelligent military and defense systems.

Theme

Potential topics of BigDefense 2021 include but are not limited to the following:

  • AI and machine learning for military and defense technology
  • BBig data processing for military and defense technology
  • Context awareness for military and defense technology
  • Cloud computing and service for military and defense technology
  • IoT and sensor networks for military and defense technology
  • Ubiquitous communications for military and defense technology
  • Embedded SW and platforms for military and defense technology
  • SW architecture and frameworks for military and defense technology
  • UI/UX for military and defense technology

Important Dates

  • Deadline for Workshop Paper Submission November 16, 2020
  • Notification of Acceptance November 23, 2020
  • Camera-Ready Copy Due December 7, 2020
  • Author Registration Due December 14, 2020
  • Workshop Date TBA

Submission

All submissions must be in English and in PDF according to the IEEE two-column format for conference proceedings. All submissions will be peer-reviewed by the Program Committees of the workshop. Expected number of participants is 30 or more including presenters.

IEEE Conference Microsoft Word Template: IEEE_MSWord_Template.doc

Use the direct link for paper submission

Accepted Papers

STFNet : Image Classification Model Based on Balanced Texture and Shape Features
Kyu-hong Hwang, Ho-rim Park and Young-guk Ha

An Object Detection Model Robust to Out-of-Distribution Data
Ho-rim Park, Kyu-hong Hwang and Young-guk Ha

Multi-Reference Based Target Tracking for TDOA Systems
Jae-wook Baek, Chang-eun Lee and Sang Jun Park

Experimental Analysis Based on Binary Classification to Distinguish the Authenticity of Text with Social Network Data
Seungwon Do and Junseong Bang

Learning video correspondence for target tracking
Jin-mo Choi, Jeany Son, Vladimirov Blagovest and Sang Jun Park

Hidden Enemy Visualization using Panoptic Segmentation on Battlefields
Jeany Son, Soyeon Lee

Simulated Intensity Rendering of 3D LiDAR using Generative Adversarial Network
Seung-chan Mok and Gon-Woo Kim

Mapless Navigation with Deep Reinforcement Learning based on The Convolutional Proximal Policy Optimization Network
Nguyen Duc Toan and Gon-Woo Kim

Solid-State LiDAR based-SLAM: A Concise Review and Application
Dinh Van Nam and Gon-Woo Kim

Multiple 3D LiDARs Extrinsic Parameter Estimation Method Using Plane Features
Dohyeong Kim and Gon-Woo Kim

Knee injury prevention algorithm based on portable motion capture
Kundo Lee, Hyung-Soon Park

Park cemetry management by drone-based video image processing
Hyung-Soon Park

Organizers

england
Young-guk Ha
Professor, Konkuk University, Republic of Korea
ce_lee
Chang-eun Lee
Dr. Chang-eun Lee (ETRI, Republic of Korea)

Program Committee

  • Dr. Han-min Jung (KISTI, Republic of Korea)
  • Dr. Min-su Jang (ETRI, Republic of Korea)
  • Dr. Tae-hong Kim (KIOM, Republic of Korea)
  • Dr. Woo-young Kwon (Wisenut, Republic of Korea)
  • Dr. Sung-hoon Kim (ETRI, Republic of Korea)
  • Mr. Chang-song Oh (ATechTn, Republic of Korea)
  • Mr. Joong-ku Kim (VST, Republic of Korea)
  • Prof. Gon-woo Kim (Chungbuk National University, Republic of Korea)
  • Prof. Hyung-soon Park (KAIST, Republic of Korea)