Replying to F.-J. Müller & A. Schuppert Nature 478, 10.1038/nature10543 (2011) Müller and Schuppert1 describe an exception to our finding2 that roughly 80% of the nodes must be controlled to gain full co...
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Replying to F.-J. Müller & A. Schuppert Nature 478, 10.1038/nature10543 (2011) Müller and Schuppert1 describe an exception to our finding2 that roughly 80% of the nodes must be controlled to gain full control over gene regulatory networks. Yet our result hides subtleties that reveal as much about controllability as about the limits of our current understanding of biological networks.
Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), ...
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Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), have been applied in order to increase the clustering algorithm performance. GA and ACO-based clustering algorithms are capable of efficiently and automatically forming natural groups from a pre-defined number of clusters. This paper presents a GA and an ACO algorithm to the clustering problem. Both algorithms were refined using local search in order to improve the clustering accuracy. The results are compared on numeric UCI databases.
It is critical to set up a precise and feasible monitoring system for a variety of animal or human studies. A behavioral state and physiological signal monitoring system was developed. Four EEG and three-axis accelero...
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ISBN:
(纸本)9781424428328;9781424428335
It is critical to set up a precise and feasible monitoring system for a variety of animal or human studies. A behavioral state and physiological signal monitoring system was developed. Four EEG and three-axis accelerometer signals are acquired and transmitted to a host computer for further automatic analysis or visual review. The wireless communication based on IEEE 802.15.4/ZigBee frees the experimental subject from the hassle of wires and reduces the wire artifact of EEG signal during convulsions. This system features low cost, compact size, low power, and real time by eliminating video, EMG and EOG installation and detection. It demonstrates successful observation of kindle process of temporal lobe epilepsy and discrimination vigilance states, while a long period of recording is also verified.
In 2007, the University of Windsor established formal learning outcomes for their cooperative education program and implemented new educational strategies to support the achievement of those outcomes. To gauge the eff...
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In 2007, the University of Windsor established formal learning outcomes for their cooperative education program and implemented new educational strategies to support the achievement of those outcomes. To gauge the effect of the newly implemented activities on the achievement of the learning outcomes, a survey was developed and administered to students and alumni of the unrevised program (control group) and, more recently in 2009, to students participating in the revised program (experimental group). The survey questions were designed to assess respondents' perceptions of the effect that co-op had on: their academic and career-related goals and motivation;identification of personal strengths, weaknesses and preferences;understanding of academic theory and technical knowledge;development of attributes;and the ability to effectively contribute in the workplace through identified soft and transferable industry-related skills. Students participating in co-op at the University of Windsor may complete regular or extended length work terms. Regular work terms are generally four-months in length, while extended work terms are at least eight months long, although many companies request co-op students for twelve to sixteen month periods. The survey demographics included a question about work term duration, so that the effects of work term length on learning outcomes achievement might also be examined. Although the survey revealed some positive trends related to learning outcomes achievement for control versus experimental groups, they were not at statistically significant levels. However, if the analysis was limited to students who had completed extended work terms, three areas showed changes at statistically significant levels. Decreases in positive response levels were seen for the experimental group with respect to students' abilities to identify personal weaknesses related to their academic options and personal preferences related to workplace options. An increase in posit
This paper introduces a new method for learning top-down and task-driven visual attention control along with physical actions in interactive environments. Our method is based on the Reinforcement Learning of Visual Cl...
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This paper introduces a new method for learning top-down and task-driven visual attention control along with physical actions in interactive environments. Our method is based on the Reinforcement Learning of Visual Classes(RLVC) algorithm and adapts it for learning spatial visual selection in order to reduce computational complexity. Proposed algorithm also addresses aliasings due to not knowing previous actions and perceptions. Continuing learning shows our method is robust to perturbations in perceptual information. Our method also allows object recognition when class labels are used instead of physical actions. We have tried to gain maximum generalization while performing local processing. Experiments over visual navigation and object recognition tasks show that our method is more efficient in terms of computational complexity and is biologically more plausible.
Integration of colloidal semiconductor quantum dots with epitaxial semiconductor materials offers the possibility of a wide variety of new device structures. In this work, wafer bonding processes for layered GaN/Quant...
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ISBN:
(纸本)9781424458547
Integration of colloidal semiconductor quantum dots with epitaxial semiconductor materials offers the possibility of a wide variety of new device structures. In this work, wafer bonding processes for layered GaN/Quantum Dots/GaN structures are described. Bonding is achieved by thermal reorganization of bidentate ligand thiophenethiol which initially caps the CdSe/ZnS core/shell quantum dots. Annealing temperature dependent bond strength feature is characterized. Maximum bond strength is achieved after annealing at 350°C. Effect of annealing on quantum dot photoluminescence is also investigated.
Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the bind...
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Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool.
The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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This paper presents a systematic application of machine learning techniques for classifying high-density EEG signals elicited by face and non-face stimuli. The two stimuli used here are derived from the vase-faces ill...
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This paper presents a systematic application of machine learning techniques for classifying high-density EEG signals elicited by face and non-face stimuli. The two stimuli used here are derived from the vase-faces illusion and share the same defining contours, differing only slightly in stimulus space. This emphasizes activity differences related to high-level percepts rather than low-level attributes. This design decision results in a difficult classification task for the ensuing EEG signals. Traditionally, EEG analyses are done on the basis of signal processing techniques involving multiple instance averaging and then a manual examination to detect differentiating components. The present study constitutes an agnostic effort based on purely statistical estimates of three major classifiers: L1-norm logistic regression, group lasso and k Nearest Neighbors (kNN); kNN produced the worst results. L1 regression and group lasso show significantly better performance, while being abl e to identify distinct spatio-temporal signatures. Both L1 regression and group lasso assert the saliency of samples in 170ms, 250ms, 400ms and 600ms after stimulus onset, congruent with the previously reported ERP components associated with face perception. Similarly, spatial locations of salient markers point to the occipital and temporal brain regions, previously implicated in visual object perception. The overall approach presented here can provide a principled way of identifying EEG correlates of other perceptual/cognitive tasks.
We developed a miniaturized laparoscopic zoom camera that is 17 mm long, has >4X optical zoom, and works under 300 lux. This camera is suitable for advancing minimally invasive surgery. Demonstration surgery (chole...
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