author Sumin Han 
2nd author Sumin Han 
presenter Gyusun Hwang 
info ICDMCE 2016 
year 2016 
category IC 
start / end date 2016-04-13 
city / nation Kyoto/ Japan 
학회 ICDMCE 
keywords Internet of Things, Disaster management, Response system, Resource Allocation 
abstract In Korea, the damage recovery cost of water side structure accounts for more than 50% of the supplementary budget. Therefore previous studies have targeted the water sided structures to build an effective disaster recovery plan and better manage the recovery resources. However there has been only a little attention paid to collecting and capturing the real-time data. For most disaster recovery process, recovering multiple numbers of damaged sites is common. Therefore it is important to collect the real-time information of the damage, recovery resource, and etc., since these components are essential to make an effective recovery plan. However the dynamic characteristics of recovery process and planning make it difficult to gather such data.
This study seeks to design an effective disaster response system using the concept of Internet of Things (IoT) in order to lessen the impact of disasters. For this reason, this study defines and classifies the unexpected situations into cases and presents the architecture of the response system using IoT. Also, we have developed the method to evaluate the recovery resources capabilities and resource allocation algorithm which utilizes the data collected from IoT. Finally a simulation study has been conducted to verify the proposed system. The works from study will help identify the real-time recovery situation with IoT and allocate recovery resources to various damaged areas optimally. 

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번호 category 학회 제목 author presenter year
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34 IC  APMS  Development of a Strategic Model for Freight Transportation with a Case Study of the Far East Louis Coulet    2013 
33 IC  ISFA  A framework for the ubiquitous MES using RFID and Web services technology file Manchul Han    2006 
32 IC  APMS  A Framework for Enhancing Responsiveness in Sales Order Processing System Using Web Services and Ubiquitous Computing Technologies Mokmin Park    2009 
31 IC  APMS  Utility Value and Fairness Consideration for Information Sharing in a Supply Chain Myongran Oh    2007 
30 IC  SICEAS  INTERACTIVE PLACEMENT METHOD FOR CONTAINER LOADING PROBLEM USING DEPTH CAMERA file Nasution Ninan  Nasution Ninan  2017 
29 IC  ICPR  On-Site Safety Education in Factories Using Augmented Reality with Text Mining-based Marker file Philjun Moon  Philjun Moon  2017 
28 IC  APIEMS  An Integrated Approach for Loading and Scheduling of a Flexible Manufactureing System Sangbok Woo    1999 
27 IC  IW on IMS  Maximally permissive adaptive control of an automated manufacturing cell Sangkyun Kim    1999 
26 IC  INFORMS-KORMS  Development of capacitated event-driven MRP components using object oriented method Seunghyun Yoon    2000 
25 IC  ISII  Framework Design of Intelligent Service System for the Middle-of-Life Product Soyeon Yoon    2011 
24 IC  ICICIC  Evaluation of Intelligent Service System for the Middle-of-Life Product Soyeon Yoon    2011 
23 IC  IEOM  Designing an effective scheduling scheme considering multi-level BOM in hybrid job shop Sumin Han    2012 
22 IC  APORS  A study on makeshift recovery planning in emergency logistics considering disaster scene's risks and uncertainties file Sumin Han  Sumin Han  2015 
21 IC  FAIM 2016  A Study on the Distributed Vehicle Routing Problem of emergency vehicle fleet in the Disaster Scene file Sumin Han  Sumin Han  2016 
» IC  ICDMCE  Study on smart disaster recovery system using Internet of Things file Sumin Han  Gyusun Hwang  2016 
19 IC  INFORMS  A Study on emergency logistics problem after massive natural disaster Sumin Han  Sumin Han  2014 
18 IC  ISPIM  Open Innovation in SMEs - The Case of KICMS Sungjoo Lee    2008 
17 IC  SCSC  Inventory Management in a Supply Chain using Neural Networks file Sungwon Jung    2002 
16 IC  ICPR  Combined production and distribution planning using demand based mixed Genetic Algorithm in a supply chain file Sungwon Jung    2003