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Misc. Hh |
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Daehyun
Ban Ph.D.
Candidate |
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Electrical and Computer Engineering North Carolina State University |
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¡¤ Ph.D. Candidate in Electrical and
Computer Engineering, North Carolina State
University, Raleigh, North Carolina o Expected Graduation Date: May, 2012 o Thesis Title: Performance Analysis and Reliability
Algorithms in Wireless Sensor Networks, Mobile Networks and Smart-Grids o Adviser: Professor Michael Devetsikiotis ¡¤ M.S. in Electrical Engineering, University of Southern California, Los Angeles,
California, 2007 ¡¤ B.S. in Electrical and Electronic
Engineering, Yonsei University, Seoul, South
Korea, 2005 |
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¡¤
Daehyun
Ban, George
Michailidis and Michael Devetsikiotis, ¡°Spatio-temporal Price Based Mechanisms for PEV Charging Stations
with Temporal and Spatial Difference Awareness¡±, submitted to IEEE Transaction on Smart Grid,
2012. ¡¤
Daehyun Ban and Michael Devetsikiotis,
¡°Balancing Network Connectivity and the Life-Time of Sensors through
Percolation and Consensus¡±, IEEE International Conference on Communication
(ICC), AHSN, 2012 [pdf]. ¡¤
Daehyun
Ban, George
Michailidis and Michael Devetsikiotis, ¡°Demand Response Control for PHEV
Charging Stations by Dynamic Price Adjustment¡±, IEEE PES Innovative Smart
Grid Technology (ISGT), 2012 [pdf] [slide]. ¡¤
Daehyun
Ban, George
Michailidis and Michael Devetsikiotis, ¡°Towards Improved Scalability in Smart
Grid Modeling: Simplifying Generator Dynamics Analysis via Spectral Graph Sparsification¡±, IEEE SmartGridComm;
Smart Grid Modeling and Simulation, 2011 [pdf] [slide]. ¡¤
Daehyun
Ban and
Michael Devetsikiotis, ¡°A Content-Freshness Enhancement with Infrastructures
in Mobile Opportunistic Networks¡±, IEEE MILCOM, 2011 [pdf] [slide]. ¡¤
Daehyun
Ban and
Michael Devetsikiotis, ¡°Content-Update Process Performance under
Energy-Saving Schemes in Mobile Opportunistic Networks¡±, IEEE Latin-America
Conference on Communications (LATINCOM), 2011[pdf] [slide]. ¡¤
Daehyun
Ban and
Michael Devetsikiotis, ¡°A Flow-Based Centrality Measure through Resistance
Distances in Smart-Grid Networks¡±, IEEE GLOBECOM, 2011[pdf] [slide]. |
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Workshop/
Poster |
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¡¤
Daehyun
Ban, ¡°Towards
Improved Scalability in Smart Grid Modeling: Simplifying Generator Dynamics
Analysis via Spectral Graph Sparsification¡±, SAMSI
(Statistical and Applied Mathematical Science Institute) Workshop; Scientific
Problems for Smart Grid, 2011, RTP, NC [pdf]. |
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Our
life is surrounded by consecutive networks (e.g., social network, Internet
and etc.) and the term ¡®network¡¯ is indispensable to our life. The fundamental purpose of network theory
is to investigate the relationship among network components. However, this
goal becomes more challenging nowadays due to the scale increase and complex
interconnections of networks. Thus, it is frequent observed that our general
expectations about network phenomena do not match well with our intuition. Although
my research interest spans all around network related problems, current
specific areas are from wireless sensor
and mobile opportunistic networks through smart-grids (i.e., enhanced power network). The followings are
brief explanations for each category: 1. Wireless Sensor Networks : Network
Connectivity and Sensor Life-time |
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Under
no infrastructure, wireless sensors have been utilized as a tool to build ad-hoc
type networks. This basically accompanies trade-offs between network
connectivity (i.e., communicability) and the operational time of sensors. For
more efficient network design, there appears several questions such that ¡°How
many wireless sensors are required to guarantee connectivity¡± and ¡°How to
manage the energy consumption of sensors (e.g., energy-saving strategies) to
maximize the operation duration¡±. Further, the energy depletion instance of
sensors is so uneven (e.g., due to unbalanced path use for communications)
that a network connection topology becomes time-varying during operations.
Hence, the sensor control algorithms should endure such variations. My
interest is on control schemes, which are distributed and autonomous that
balances the trade-off. Up to now, my research proposed such an algorithm by
the combination of percolation theory and dynamic average consensus
algorithm. 2. Mobile Opportunistic Networks :
Over the Limitation of Delay Tolerant Networks (DTNs) In Mobile Ad-hoc Networks (MANETs),
contact patterns among users or devices have been regarded as the key element
to investigate the performance of data propagation. This is because data
forward chances are temporarily allowed only when users are positioned within
their communication range. In my understanding, these MANET research still
clings to the network condition where no infrastructure is given. However, in
reality, we are surrounded by gigantic centralized network infrastructures
and utilize them for communication (e.g., 3G and 4G cellular networks). In
this manner, my interest is on analyzing the data propagation performance
under hybrid network structures, where based-stations and contact-based
forwarding are mixed. In addition, the energy limitation of mobile hand-held
devices such as smart-phones and PDAs should be concerned. These devices are
allowed to utilize device sleep/awake strategies to extend their operation
time. Under the deployment, the performance analysis of contact-based network
has a certain limitation. Simply, the content exchange among devices does not
occur even under a contact if the device power is off. Network performance
analysis under this constraint is another interest in mobile network
research. |
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3. Smart-Grids : The Technological Convergence of Power Networks
and Data Networks |
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The
necessity of enhanced power systems is highly required for human life. This
results from the change of electricity distribution structures from radial to
inter-connected systems. In power systems, the dynamics of electricity
generator itself is non-linear. Moreover, compared to data networks, there
exist high correlations among power grid components due to electrical
properties. These give us challenges to predict the power grid behaviors.
Already, we suffered several cascading black outs (e.g., black outs in North
America and Europe in 2003) and these are hardly expected under traditional
power system analysis. My interest is on proposing and validating efficient metrics
to capture the vulnerability of power grids. Also, in large scale power
systems, the interest includes to find the simplified generator dynamics
analysis by using graph and spectral theory. Additionally, my grand goal is
the smart adaptations of data network techniques into power grids. For
example, PHEVs (Plug-in Hybrid Electric Vehicles) can affect the unbalanced
electricity supply and demand in the grid and data network analysis tools
such as queuing theory and optimization theory can be utilized for their
balance. |
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¡¤
My
Facebook ¡¤
Saint Paul Ha-Sang Jung Catholic Church
(Cary, NC) |
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¡°Courage
is resistance to fear, mastery of fear, no absence of fear¡± |
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