In this paper we aim to tackle the Cold sub-challenge proposed in the INTERSPEECH 2017 ComParE Challenge. The goal is to determine whether given speech is under cold condition. In this paper we ...present two frameworks. One of them is based on an alternative neural network-based autoencoder using two different loss functions. The first one is the standard reconstruction error used in unsupervised autoencoder, and the hinge loss (second loss function) is incorporated into the middle layer to attract utterances spoken by the same condition into similar identity code spaces. The classification is then carried out by comparing the cosine similarity of identity codes between the target and the mean of cold and non-cold utterances. With a simple logistic regression combining our method and the baseline systems predictions, we achieve 65.81 % and 66% UAR on development set and test set provided by 2017 ComParE, respectively. Another approach is based on strength modeling, where diverse classifiers' confidence outputs are concatenated to original feature space as input to the support vector machine. The feature representations are derived from multiple sub-dictionary within the framework of GMM Fisher-vector encoding and eGeMAPS functional features concatenating with diverse classifiers. We achieve 70.2% and 65.5% on development and test set provided by 2017 ComPareE, respectively.
This paper proposes a deep cerebellar model articulation controller (DCMAC) for adaptive noise cancellation (ANC). We expand upon the conventional CMAC by stacking sin-gle-layer CMAC models into ...multiple layers to form a DCMAC model and derive a modified backpropagation training algorithm to learn the DCMAC parameters. Com-pared with conventional CMAC, the DCMAC can characterize nonlinear transformations more effectively because of its deep structure. Experimental results confirm that the pro-posed DCMAC model outperforms the CMAC in terms of residual noise in an ANC task, showing that DCMAC provides enhanced modeling capability based on channel characteristics.
碩士
淡江大學
機械與機電工程學系碩士班
96
Moving platform’s motion constraints of the parallel manipulator CaPaMan2 are first derived in this thesis. These constraints are then used to find the manipulator’s workspace ...and the range of driving angles. Velocity constraints are obtained by taking the first time derivatives of the motion constraints, and constraint singularity positions may be defined as positions making Jacobian matrices in velocity constraints singular. In this study several constraint singularity positions ,as well as inverse and forward singular position, are determined.
碩士
淡江大學
中國大陸研究所碩士班
98
The idea of “Unity of Legislative and Executive” is based on the concept of Marxism–Leninism state theory and is the initial principle of the organization of Paris Commune. Its ...original meaning is the idea of “the Unity of the power of Legislative and Executive”, which means that Legislative is also served as Executive and is in charge of the making and execution of law. It’s often adopted by the “People’s Democracy” form of regimes in socialism nations and has, directly or indirectly, the influence on both of Russia’s Soviet System and China’s NPC System, However, whether NPC System should be classified as one type of “Unity of Legislative and Executive” is still in dispute.
Although Russia’s Soviet System succeed to “Unity of Legislative and Executive” of Paris Commune, its meaning is totally different from the initial practice of Paris Commune. For the Soviet System of the Chinese Soviet Republic, which established by CCP in 1931, is the imitation of Russia’s Soviet System, and NPC Sy
Chronic inflammation is a pivotal event in the pathogenesis of cardiovascular diseases, including atherosclerosis, restenosis, and coronary artery disease. The efficacy of current treatment or ...preventive strategies for such inflammation is still inadequate. Thus, new anti-inflammatory strategies are needed. In this study, based on molecular docking and structural analysis, a potential peptide KCF18 with amphiphilic properties (positively charged and hydrophobic residues) derived from the receptors of proinflammatory cytokines was designed to inhibit cytokine-induced inflammatory response. Simulations suggested that KCF18 could bind to cytokines simultaneously, and electrostatic interactions were dominant. Surface plasmon resonance detection showed that KCF18 bound to both tumor necrosis factor-α (TNF-α) and interleukin-6, which is consistent with MM/PBSA binding free energy calculations. The cell experiments showed that KCF18 significantly reduced the binding of proinflammatory cytokines to their cognate receptors, suppressed TNF-α mRNA expression and monocyte binding and transmigration, and alleviated the infiltration of white blood cells in a peritonitis mouse model. The designed peptide KCF18 could remarkably diminish the risk of vascular inflammation by decreasing plasma cytokines release and by directly acting on the vascular endothelium. This study demonstrated that a combination of structure-based in silico design calculations, together with experimental measurements can be used to develop potential anti-inflammatory agents.
碩士
國立臺灣大學
電機工程學研究所
105
With the development of autonomous vehicle, obtaining the global position of autonomous vehicle becomes more and more significant. While GPS is widely used in global ...positioning, it suffers from a systematic noise which can be modeled as a bias. To obtain a more accurate localization result, a global map with recorded landmarks can be used. By calculating relative position between ego-vehicle and landmarks, GPS bias can be effectively corrected.
Road markers are widely seen on structured road. Bright color and consistent shape make them suitable to be landmarks on global map. Hence, this thesis proposes a global positioning algorithm based on road marker matching and GPS bias correction. To achieve the goal, road marker detection and localization algorithm are proposed.
For road maker detection, not only the road marker should be recognized, but the position and orientation should be detected. Two road marker detection methods are proposed. One is based on machine learning algorithm followed by correlation to find the orientation and position. The other one is based on template matching which searches road marker pattern on road surface.
For localization, road marker matching is proposed. Different kinds of road markers are treated in different way based on their geometrical property. Moreover, the localization result is used to enhance road marker detection algorithm. By using the vehicle position and orientation, correctness and efficiency are both increased. The calculation time is reduced by 98.5% compared with an exhaustive searching method. Finally, the position information from road marker matching is combined with GPS and ORB-SLAM, respectively. Kalman filter or moving average are used to combined GPS with road marker matching. For ORB-SLAM, scale and global position can be recovered by road marker matching.
Experiments on road marker detection and localization are performed with 6 videos in several conditions such as occlusion on road markers or illumination variance. It is shown that trajectories from proposed algorithm is much more reasonable than the original GPS trajectories. Furthermore, ORB-SLAM trajectory can be recovered from road marker matching in some situations.
The fruit fly can evaluate its energy state and decide whether to pursue food-related cues. Here, we reveal that the mushroom body (MB) integrates hunger and satiety signals to control food-seeking ...behavior. We have discovered five pathways in the MB essential for hungry flies to locate and approach food. Blocking the MB-intrinsic Kenyon cells (KCs) and the MB output neurons (MBONs) in these pathways impairs food-seeking behavior. Starvation bi-directionally modulates MBON responses to a food odor, suggesting that hunger and satiety controls occur at the KC-to-MBON synapses. These controls are mediated by six types of dopaminergic neurons (DANs). By manipulating these DANs, we could inhibit food-seeking behavior in hungry flies or promote food seeking in fed flies. Finally, we show that the DANs potentially receive multiple inputs of hunger and satiety signals. This work demonstrates an information-rich central circuit in the fly brain that controls hunger-driven food-seeking behavior.
We report on the exceptional application of polyaniline/graphene composites (PAGCs) for corrosion protection of steel. The composites display outstanding barrier properties against O2 and H2O ...compared with neat polyaniline and polyaniline/clay composites (PACCs). The conductive filler, 4-aminobenzoyl group-functionalized graphene-like sheets (ABF-G) with a relatively higher aspect ratio than organophilic clay nonconductive fillers, is a versatile platform for polymer grafting that promotes better dispersion of the graphite within the polymer matrix and lengthens the diffusion pathway that gases should effectively encounter. This concept can be used for other polymer/graphene composites.
Carbon monoxide (CO) causes the dysfunction of mitochondria to induce the apoptosis of cancer cells giving a promising choice as an emerging treatment. The currently reported CO-based complexes still ...suffer from many limitations. Synthesis of CO-release carriers in the manner of on-demand control is highly anticipated. In this study, we present a near-infrared (NIR) light-responsive CO-delivery nanocarrier, a PEGylated iron carbonyl derivatized Prussian blue (PB) nanoparticle (NP). Taking the structural characteristic containing Fe3+–NC–Fe2+ unit, the −CN– served as the active sites for the coordination of iron carbonyl, while the surface Fe sites chelated with the amine-functionalized polyethylene glycol (NH2–PEG6000–NH2) to yield PEGylated PB NPs carrying CO. The control of light intensity and exposure period is important to release the amount of CO as well as to deliver the hyperthermia effect. The combination therapy including CO and photothermal treatments displayed a synergistic effect against cancer cells. Importantly, the release of CO is inert in the blood circulation without NIR irradiation. The blood oxygen saturation measured by the pulse oximeter and the HCO3, tCO2, and pH values analyzed by the blood assay revealed the steady status from the mice studies, showing no acute CO poisoning.
In the present work, a new strategy is used to economically synthesize an oligomeric ionic liquid from conventional phenolic epoxy resin. This oligomeric ionic liquid is further blended with ...PVdF-co-HFP and organic liquid electrolyte to prepare a high performance, nonflammable gel polymer membrane. Although the liquid electrolyte uptake is low (< 50%) for this novel gel polymer electrolyte, it possesses high ionic conductivities of 2.0mScm−1 at 30°C and 6.6mScm−1 at 80°C, respectively. The AC impedance results show that the interfacial compatibility between this gel polymer electrolyte and the electrodes is good. These two factors result in high cell capacity under different charge/discharge rates. Further, excellent cell-cycle stability after being charged and discharged 100 cycles is also demonstrated with the columbic efficiency to be up to 99. Due to the existence of the oligomeric ionic liquid, this novel gel polymer electrolyte exhibits superior dimensional stability; that is, at high temperature (150°C) the dimensional change is less than 1%. Notably, the electrolyte’s limiting oxygen index can be as high as 29, meaning that it achieves the flame-retardant requirement under a normal atmosphere, which is essential to the safety of lithium ion batteries. These features allow this novel gel polymer electrolyte to function as a high performance and high safety lithium ionic conductor as well as a separator for lithium-ion batteries.
•The nonflammable gel electrolyte's limiting oxygen index can be as high as 29.•High cell capacity under different C-rates and excellent cycle stability.•New method to synthesize an oligomeric ionic liquid from conventional epoxy resin.
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