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  Poster Abstracts

   (Alphabetical order of the last names)


  Symposium Program  |  Talk Abstracts  |  Full Program (.pdf)   |  Short Program (.pdf)



  October 25, 2008 (Saturday),  04:45 P.M. - 06:00 P.M.



1. Poster Presenter: Prof. Yoonsuck Choe (Texas A&M)


Internal State Predictability as an Evolutionary Precursor of Self-Awareness and Agency




What is the evolutionary value of self-awareness and agency in intelligent agents? One way to make this problem tractable is to think about the necessary conditions that lay the foundation for the emergence of agency, and assess their evolutionary origin. We postulate that one such requirement is the predictability of the internal state trajectory. A distinct property of one's own actions compared to someone else's is that one's own is highly predictable, and this gives the sense of ``authorship''. In order to investigate if internal state predictability has any evolutionary value, we evolved sensorimotor control agents driven by a recurrent neural network in a 2D pole-balancing task. The hidden layer activity of the network was viewed as the internal state of an agent, and the predictability of its trajectory was measured. We took agents exhibiting equal levels of performance during evolutionary trials, and grouped them into those with high or low internal state predictability (ISP). The high-ISP group showed better performance than the low-ISP group in novel tasks with substantially harder initial conditions. These results indicate that regularity or predictability of neural activity in internal dynamics of agents can have a positive impact on fitness, and, in turn, can help us better understand the evolutionary role of self-awareness and agency


2. Poster Presenter: Prof. Byung Choi (Michigan Tech. Univ.)


Dynamic Membership Protocol for Epidemic Protocols




Epidemic protocols have two fundamental assumptions. One is the availability of a mechanism that provides each node with a set of log(N) (fanout) nodes to gossip with at each cycle. The other is that the network size N is known to all member nodes. While it may be trivial to support these assumptions in small systems, it is a challenge to realize them in large open dynamic systems, such as peer-to-peer (P2P) systems. This work introduces one possible solution which addresses both problems; providing at each cycle a different set of log(N) nodes selected randomly and uniformly from the entire network under churn, and estimating the dynamic network size in the number of nodes.


3. Poster Presenter: Prof. Eun-Young Kang (Cal State LA)


Integrated Training Pipeline for Scientific Visualization




Integrated Training Pipeline for Scientific Visualization (ITPSV, or SV for >short) is a student centered research and training program, organized on the public science education projects in cosmology. The poster introduces computer simulation, animation and game projects developed and implemented via this program.


4. Poster Presenter: Prof. Jihie Kim (USC)


Sentiment Analysis of a Student Q&A Board for Computer Science




Online discussion boards are widely used in higher education, extending the availability of instructors, assistants, and materials to students beyond the traditional classroom. Students’ emotions and attitudes are discernible in messages posted to online question and answer boards. Understanding student sentiments could help instructors identify students with low confidence or high frustration, optimize help-seeking, and potentially improve performance. Towards this end, we present a set emotional speech acts that were used by students in a university-level computer science course to express certainty and uncertainty, frustration, tension and politeness. Using these new labels, we coded a corpus of almost 1200 messages and analyzed the results of annotated corpus. The work has application in computational discourse analysis and in building student help-seeking models for distance learning. This study complements previous work on analyzing student discussions using rhetorical speech acts, course topics, and problem tasks.


5. Poster Presenter: Prof. Seon Ho Kim (U of the Dictrict of Columbia)


Viewable Scene Modeling for Geospatial Video Search




Video sensors are becoming ubiquitous and the volume of captured video material is very large. Therefore, tools for searching video databases are indispensable. Current techniques that extract features purely based on the visual signals of a video are struggling to achieve good results. By considering video related meta-information, more relevant and precisely delimited search results can be obtained. In this study we propose a novel approach for querying videos based on the notion that the geographical location of the captured scene in addition to the location of a camera can provide valuable information and may be used as a search criterion in many applications. This study provides an estimation model of the viewable area of a scene for indexing and searching and reports on a prototype implementation. Among our objectives is to stimulate a discussion of these topics in the research community as information fusion of different georeferenced data sources is becoming increasingly important. Initial results illustrate the feasibility of the proposed approach.


6. Poster Presenter: Prof. Yoohwan Kim (UNLV)


HTSMA: a Hybrid Temporal-Spatial Multi-Channel Assignment Scheme in Wireless Mesh Networks




A number of multi-channel assignment schemes have recently been proposed to improve the throughput of IEEE 802.11-based multi-hop wireless mesh networks (WMNs) by utilizing multiple channels. However, excessive system overhead and/or waste of bandwidth has prohibited achieving high network throughput. We propose a synchronization-free, hybrid temporal-spatial multi-channel assignment scheme in a tree-based network topology, using a single radio for each host. The gateway uses all the available channels in a round-robin fashion over time, and the scheme ensures fair access to the gateway by all hosts. The channel assignment for the non-gateway hosts is based on the geographical location and channel availability (a spatial approach). Adjacent regions have their own unique channels, and a channel can be reused in remote regions without an interference. Simulation results have shown that the network throughput is increased by as much as 20.84%, and the packet completion latency is reduced by 44.02%.


7. Poster Presenter: Mr. Seung Hoon Lee (UCLA)


Content Distribution in VANETs using Network Coding: The Effect of Disk I/O and Processing O/H




Content distribution in vehicular networks poses a great challenge due to network dynamics and high speed mobility. In recent years, network coding has been shown to efficiently support distribution of content in such dynamic environments, thereby considerably enhancing the performance. However, the related work in the literature has mostly focused on theoretic or algorithmic aspects of network coding. In this paper, we provide an in-depth analysis on the implementation issues of network coding in wireless networks. First, we develop an abstract model of a general network coding process and evaluate the validity of the model via several experiments on real systems. Second, we propose schemes that considerably improve the performance of network coding under resource constrained environments. We implement our overhead model in a network simulator and evaluate these schemes in a large scale vehicular network.


8. Poster Presenter: Mr. Minwoo Park (Pennsylvania State University)


Lattice Detection of Urban View of Buildings




A novel and robust computational framework for automatic detection of 2D lattice in urban view is presented. 2D crystallographic group theory provides a theoretical justification of degree-4 Markov Random Field (MRF) for detecting lattice. The lattice units are proposed through unsupervised clustering of interest points and voting for consistent lattice units. The proposed lattice basis vectors and pattern element contribute to the pair-wise compatibility and joint compatibility functions in a degree-4 MRF. This allows us to formulate lattice detection as an optimization problem, solved within the MRF using Belief Propagation. Results demonstrate significant advances over the state-of-the-art algorithm.


9. Poster Presenter: Prof. Jungwoo Ryoo (PSU Altoona)


Immersive Security Education Environment (I-SEE) Using Second Life


10. Poster Presenter: Prof. Jongwook Woo (Cal State LA)


e-Business architecture with Enterprise Search Engine




e-Business has replaced dramatically or occupied the major part of the traditional markets for the past 10 years. The e-Business architecture moved from the legacy client-server architecture to n-tier architecture since Internet and Web came out to the world. Internet and web even create new product and revenue as companies have invested in Information Technology seriously not as an option. Content business is one of the examples in this new era. Content has become intellectual property and a company or organization that has content can make profit by providing the content to the customers and the users. As the content increases high, there is a need for search engine in order to provide the proper content to the user quickly. Thus, search engine has received highlight in the content industry, mostly portal sites. The paper introduces search engine - especially internal search engine not web search engine - and its fundamentals. Then, the paper proposes the e-Business architecture with search engine.


11. Poster Presenter: Prof. Kyongil Yoon (College of Notre Dame of Maryland)

Background Subtraction Enhancement Using Segmentation




The capability of extracting moving objects from a video sequence captured using a static camera is a typical first step in visual surveillance. This procedure is called a background subtraction (BGS), and it uses the temporal distribution of pixel values over the sequence of frames. Pixel based BGS can be improved by considering the spatial coherence around each pixel, and in this paper we present a method to enhance existing BGS methods using spatial information from image segmentation.


12. Poster Presenter: Ms. Mira Yun (George Washington University)


Dynamic Channel-Assignment and Scheduling considering Channel Switching Overhead in Wireless Mesh Networks




Despite the vast amount of research efforts in developing efficient channel assignment and scheduling algorithms in multi-channel multi-radio WMNs, none of them considers the overhead incurred from switching radios dynamically from one channel to another into account. In a 802.11 card, the hardware switching delay is typically in the order of a few hundreds of microseconds to a few milliseconds, and the switching between two different bands (e.g., 5GHz for 802.11a and 2:4GHz for 802.11b/g) may result in even a larger delay. In this poster, we take the switching delay into account in the design of channel assignment and scheduling and present two algorithms: a centralized one and a fully distributed one. The performance of our proposed algorithms is analyzed using a discrete-event simulator that we developed. The simulation results show that the network throughout and the end-to-end delay can be significantly improved using our algorithms. Some theoretical issues are also addressed.


KOCSEA (Korean Computer Scientists & Engineering Association in America)