Gia Nghĩa, Vietnam
Gia Nghĩa, Vietnam

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Wu Y.,Stanford University | Bui L.,Tan Tao University | Johari R.,Stanford University
IEEE Journal on Selected Areas in Communications | Year: 2012

We consider a model of priced resource sharing that combines both queueing behavior and strategic behavior. We study a priority service model where a single server allocates its capacity to agents in proportion to their payment to the system, and users from different classes act to minimize the sum of their cost for processing delay and payment. As the exact processing time of this system is hard to compute and cannot be characterized in closed form, we introduce the notion of heavy traffic equilibrium as an approximation of the Nash equilibrium, derived by considering the asymptotic regime where the system load approaches capacity. We discuss efficiency and revenue, and in particular provide a bound for the price of anarchy of the heavy traffic equilibrium. © 2012 IEEE.


Tran N.N.,Vietnam National University, Hanoi | Nguyen H.X.,Tan Tao University
Electronics Letters | Year: 2015

Based on convex programming for optimisation, the optimal superimposed (SP) training signal design is proposed for spatially correlated multiple-input-multiple-output (MIMO) channels in the presence of correlated symbols and coloured Gaussian noises. Simulation results show that the proposed training design can effectively estimate the channel and outperforms the existing designs. © The Institution of Engineering and Technology 2015.


Nguyen G.V.,Tan Tao University | Hanson T.R.,Auburn University | Jolly C.M.,Auburn University
Aquaculture Economics and Management | Year: 2013

This study used a LA/AIDS model to estimate demand system for crustacean species, shrimp, crab, crawfish and lobster at the U.S. retail store level. Shrimp demand is price elastic; crab, crawfish and lobster are price inelastic. Shrimp price significantly affects market shares of crustacean products. Shrimp has more substitutes than other crustaceans, and lobster has less substitutes than others. The demand for crab and lobster grow faster than the demand for shrimp and crawfish when expenditure increases. Promotion has positive effects on market shares and sales volume of own products and negative effects on cross-products. Shrimp price-reduction promotion strategies will be effective in term of raising shrimp sales value. Marketing programs that increase consumers' marginal utility with an additional small increase in the selling price of crab, crawfish and lobster products will be feasible, and bring higher sale values. © 2013 Copyright Taylor and Francis Group, LLC.


Nikolaidis A.,University of Illinois at Urbana - Champaign | Voss M.W.,University of Iowa | Lee H.,Brain Plasticity Institute | Vo L.T.K.,University of Illinois at Urbana - Champaign | And 2 more authors.
Frontiers in Human Neuroscience | Year: 2014

Researchers have devoted considerable attention and resources to cognitive training, yet there have been few examinations of the relationship between individual differences in patterns of brain activity during the training task and training benefits on untrained tasks (i.e., transfer). While a predominant hypothesis suggests that training will transfer if there is training-induced plasticity in brain regions important for the untrained task, this theory lacks sufficient empirical support. To address this issue we investigated the relationship between individual differences in training-induced changes in brain activity during a cognitive training videogame, and whether those changes explained individual differences in the resulting changes in performance in untrained tasks. Forty-five young adults trained with a videogame that challenges working memory, attention, and motor control for 15 2-h sessions. Before and after training, all subjects received neuropsychological assessments targeting working memory, attention, and procedural learning to assess transfer. Subjects also underwent pre- and post-functional magnetic resonance imaging (fMRI) scans while they played the training videogame to assess how these patterns of brain activity change in response to training. For regions implicated in working memory, such as the superior parietal lobe (SPL), individual differences in the post-minus-pre changes in activation predicted performance changes in an untrained working memory task. These findings suggest that training-induced plasticity in the functional representation of a training task may play a role in individual differences in transfer. Our data support and extend previous literature that has examined the association between training related cognitive changes and associated changes in underlying neural networks. We discuss the role of individual differences in brain function in training generalizability and make suggestions for future cognitive training research. © 2014 Nikolaidis, Voss, Lee, Vo and Kramer.


Dey B.,Variable Energy Cyclotron Center | Mondal D.,Variable Energy Cyclotron Center | Pandit D.,Variable Energy Cyclotron Center | Mukhopadhyay S.,Variable Energy Cyclotron Center | And 7 more authors.
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2014

The influence of giant dipole resonance (GDR) induced quadrupole moment on GDR width at low temperatures is investigated experimentally by measuring GDR width systematically in the unexplored temperature range T = 0.8-1.5 MeV, for the first time, in A ~ 100 mass region. The measured GDR widths, using alpha induced fusion reaction, for 97Tc confirm that the GDR width remains constant at the ground state value up to a critical temperature and increases sharply thereafter with increase in T. The data have been compared with the adiabatic Thermal Shape Fluctuation Model (TSFM), phenomenological Critical Temperature Fluctuation Model (CTFM) and microscopic Phonon Damping Model (PDM). Interestingly, CTFM and PDM give similar results and agree with the data, whereas the TSFM differs significantly even after incorporating the shell effects. © 2014 Elsevier B.V.


Qian F.,Zhejiang University | He Q.,Zhejiang University | Chiew K.,Tan Tao University | He J.,Zhejiang University
Knowledge and Information Systems | Year: 2012

Spatial co-location pattern mining discovers the subsets of features whose events are frequently located together in geographic space. The current research on this topic adopts a threshold-based approach that requires users to specify in advance the thresholds of distance and prevalence. However, in practice, it is not easy to specify suitable thresholds. In this article, we propose a novel iterative mining framework that discovers spatial co-location patterns without predefined thresholds. With the absolute and relative prevalence of spatial co-locations, our method allows users to iteratively select informative edges to construct the neighborhood relationship graph until every significant co-location has enough confidence and eventually to discover all spatial co-location patterns. The experimental results on real world data sets indicate that our framework is effective for prevalent co-locations discovery. © 2012 Springer-Verlag London Limited.


Huang H.,Zhejiang University | He Q.,Zhejiang University | Chiew K.,Tan Tao University | Qian F.,Zhejiang University | Ma L.,Zhejiang University
Knowledge and Information Systems | Year: 2013

Rare-category detection helps discover new rare classes in an unlabeled data set by selecting their candidate data examples for labeling. Most of the existing approaches for rare-category detection require prior information about the data set without which they are otherwise not applicable. The prior-free algorithms try to address this problem without prior information about the data set; though, the compensation is high time complexity, which is not lower than O(dN2) where N is the number of data examples in a data set and d is the data set dimension. In this paper, we propose CLOVER a prior-free algorithm by introducing a novel rare-category criterion known as local variation degree (LVD), which utilizes the characteristics of rare classes for identifying rare-class data examples from other types of data examples and passes those data examples with maximum LVD values to CLOVER for labeling. A remarkable improvement is that CLOVER's time complexity is O(dN2-1/d) for d > 1 or O(N log N) for d = 1. Extensive experimental results on real data sets demonstrate the effectiveness and efficiency of our method in terms of new rare classes discovery and lower time complexity. © 2012 Springer-Verlag London Limited.


Cao T.-D.,Tan Tao University | Truong H.-L.,Vienna University of Technology
Studies in Computational Intelligence | Year: 2016

In developing countries, like Vietnam, it is vital to ensure high quality of grain with traceable origins, because grain is of paramount importance for business and food security purposes. However, it is very challenging to build information systems to track, monitor, analyze and manage grain warehouses in scattered flood of Mekong delta—Vietnam, given under developed physical and informational infrastructures. In this paper, we analyze requirements and conceptualize monitoring and analytics as a service for grain warehouses, with a focus on Vietnam’s environment. We analyze different stakeholders and their needs for monitoring and analytics features for grain warehouses. Leveraging the cloud computing model, big data analytics and Internet of Things (IoT), we design a conceptual framework to monitor various important information for grain warehouses and present different data analytics services that should be provided. © Springer International Publishing Switzerland 2016.


Nguyen D.Q.,Tan Tao University | Le D.D.,Tan Tao University
ACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication | Year: 2016

Last.fm is a website of music that provides a multivariate dataset with complex relationships between the data items and data tables. However, the relationships are difficult to examine if using purely Last.fm APIs and its Web services. In this paper, we develop a visualization technique, called Hyper Word Clouds, for the examination of such complex and multi-relationship dataset. Through the text-based representation, tracks, albums, artists, and other Last.fm data items are visualized as words linked in parallel and anchor-based word clouds. The users can then interactively select to filter, highlight, and compare data and relationships of interest and to discover further insights. © 2016 ACM.


Chidmi B.,Texas Tech University | Hanson T.,Auburn University | Nguyen G.,Tan Tao University
Marine Resource Economics | Year: 2012

A non-linear AIDS model was used to estimate substitution patterns across seafood categories at the US retail market level. Results indicate that demand for catfish, crawfish, clams, and salmon products is elastic, suggesting that consumers are sensitive to price changes. In contrast, demand for shrimp and tilapia, mostly imported products, is price inelastic. US consumers would 'tolerate' an increase in tilapia price compared to other seafood categories, especially catfish. Tilapia and salmon are found to have the most negative effects on purchases of other seafood products. Catfish is a strong substitute for tilapia; while tilapia is not a strong one for catfish. Promotions play significant roles in seafood purchases, especially among import-dominant products like shrimp, tilapia, and salmon. Future research should first be conducted at the metropolitan level, highlighting market specificity implied by consumers' demographics; secondly, it should be done at disaggregated levels for each seafood category, product form, and product size. © 2012 MRE Foundation, Inc.

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