Search results for "ta113"
showing 10 items of 530 documents
Adaptive independent vector analysis for multi-subject complex-valued fMRI data.
2017
Abstract Background Complex-valued fMRI data can provide additional insights beyond magnitude-only data. However, independent vector analysis (IVA), which has exhibited great potential for group analysis of magnitude-only fMRI data, has rarely been applied to complex-valued fMRI data. The main challenges in this application include the extremely noisy nature and large variability of the source component vector (SCV) distribution. New method To address these challenges, we propose an adaptive fixed-point IVA algorithm for analyzing multiple-subject complex-valued fMRI data. We exploited a multivariate generalized Gaussian distribution (MGGD)- based nonlinear function to match varying SCV dis…
Localization of hidden Chua's attractors
2011
Abstract The classical attractors of Lorenz, Rossler, Chua, Chen, and other widely-known attractors are those excited from unstable equilibria. From computational point of view this allows one to use numerical method, in which after transient process a trajectory, started from a point of unstable manifold in the neighborhood of equilibrium, reaches an attractor and identifies it. However there are attractors of another type: hidden attractors, a basin of attraction of which does not contain neighborhoods of equilibria . In the present Letter for localization of hidden attractors of Chuaʼs circuit it is suggested to use a special analytical–numerical algorithm.
Classification and retrieval on macroinvertebrate image databases
2011
Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …
Network Overlap and Network Blurring in Online Social Networks
2016
Online communities and the online social networks embedded become a prominent medium for social interactions. The success of social media depends on usersâ willingness to continue investing their time and efforts in the absence of economic rewards, making psychological attachment critical to online communities. While prior studies identify that members do develop psychological commitment to online communities, why and how the commitment arises remain underexplored. This study focuses on the relationship between network overlap, a common feature of online social networks, and affective commitment to an online community. Drawing on the commitment theory and social network boundary theory, w…
Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers
2016
In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating MTs offers one potential solution for downlink con- tent distribution and for the energy consumption reduction at the terminal side. Meanwhile, as RF signal can carry both informa- tion and energy simultaneously, the induced SWIPT has gained much attention for energy efficiency design of mobile nodes. Previous work on the design of CMC system mainly focused on the cloud formulation o…
Energy efficient resource allocation for secure OFDMA relay systems with eavesdropper
2016
In this paper, we address the energy efficient resource allocation problem for a secure orthogonal frequency division multiple access (OFDMA) relay system. In particular, we consider there is a eavesdropper near the base station (BS) which tries to overtake the information sent by BS. We formulate the joint optimization problem with the objective to optimize the energy efficiency of the considered system by considering subcarrier pairing, secret data rate and power allocation. In addition, the system can assign different priority to different users such that the security of information transmission can be guaranteed. The proposed iterative algorithm not only maximizes the system energy effi…
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms
2016
We study how different types of preference information coming from a human decision maker can be utilized in an interactive multiobjective evolutionary optimization algorithm (MOEA). The idea is to convert different types of preference information into a unified format which can then be utilized in an interactive MOEA to guide the search towards the most preferred solution(s). The format chosen here is a set of reference vectors which is used within the interactive version of the reference vector guided evolutionary algorithm (RVEA). The proposed interactive RVEA is then applied to the multiple-disk clutch brake design problem with five objectives to demonstrate the potential of the idea in…
Five Years of Game Programming Outreach : Understanding Student Differences
2014
This paper presents lessons learned from five years of teaching a five-day game design and programming outreach course. The course was offered in summer time and targeted at middle and high school students. In total, 462 youngsters have taken part in 21 course instances. We describe our course concept, and discuss our successes and challenges. In particular, we focus on understanding our student populations by presenting descriptives and statistics of the events, and performing a statistical cluster analysis based on pre- and post-surveys. The cluster analysis was complemented with an analysis of the qualitative data, also originating from the surveys. Taken together, students could be clas…
Life two years after a game programming course: longitudinal viewpoints on K-12 outreach
2012
In our faculty we have run week-long K-12 game programming courses now for three summers. In this paper we investigate what programming-related activities students do after they take a course, and what factors in the students' background relate to post-course programming. We also investigate a possible change in the students' interest towards higher education science studies. We find that most students continue programming after the course and that their interest towards science studies keeps increasing. In student background we observed some indicative trends, but did not find reliable explaining factors related to post-course programming or increased interest towards science studies.
Study on difficulties and misconceptions with modern type systems
2014
Functional programming is often presented as an advantageous programming paradigm by its advocates, but many students and teachers consider it to be hard to learn. One particular hurdle in learning functional programming is mastering the modern type systems employed in these languages. In this article, we identify student difficulties with means of multiple choice questions embedded into the on-line materials of an introductory functional programming course. The most prevalent misconceptions were confusing with parametric polymorphism with subtyping, the assigning too much meaning to variables names, and confounding general language patterns with special cases.