K562 mammalian cells are sorted using a highly integrated microfabricated fluorescence-activated cell sorter (μFACS). The sample cells are purified with an enrichment factor of 230 at a high throughput (>1,000 cel...
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Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of interactions among proteins. Unfortunately, exi...
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Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of interactions among proteins. Unfortunately, existing biological experimental techniques are expensive, time-consuming and labor-intensive. The network structures of many such networks are sparse, incomplete and noisy, containing many false positive and false negatives. Thus, state-of-the-art methods for link prediction in these networks often cannot give satisfactory prediction results, especially when some networks are extremely sparse. Noticing that we typically have more than one PPI network available, we naturally wonder whether it is possible to 'transfer' the linkage knowledge from some existing, relatively dense networks to a sparse network, to improve the prediction performance. Noticing that a network structure can be modeled using a matrix model, in this paper, we introduce the well-known Collective Matrix Factorization (CMF) technique to 'transfer' usable linkage knowledge from relatively dense interaction network to a sparse target network. Our approach is to establish the correspondence between a source and a target network via network similarities. We test this method on two real protein-protein interaction networks, Helicobacter pylori (as a target network) and Human (as a source network). Our experimental results show that our method can achieve higher and more robust performance as compared to some baseline methods.
A well know problem in the Wireless Sensor Network (WSN) research area is the usage of appropriate strategies to setup the sensor nodes such that they may accomplish sensing missions. This problem refers to the select...
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An important problem in Wireless Sensor Networks (WSN) is the occurrence of failures that lead to the disconnection of parts of the network, compromising the final results achieved by the WSN operation. A way to overc...
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In this paper, a large scale Medium Voltage DC all-electric ship integrated power system is modeled from the prime mover (gas turbine) to the propulsion load. This system has a three-phase 21MW synchronous machine as ...
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ISBN:
(纸本)9781617387043
In this paper, a large scale Medium Voltage DC all-electric ship integrated power system is modeled from the prime mover (gas turbine) to the propulsion load. This system has a three-phase 21MW synchronous machine as a main generator and a three-phase 19MW induction motor as a main propulsion drive. The influence of propeller emergence on both electrical and mechanical components of the system is investigated.
Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering problems that require to find an optimal point of operation. There are several embedded applications which requires to solve online ...
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It is important for intelligent robots to detect the location of user even though the user is not captured by vision cameras. Sound source localization is a technique to detect the direction of sound source using mult...
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It is important for intelligent robots to detect the location of user even though the user is not captured by vision cameras. Sound source localization is a technique to detect the direction of sound source using multiple microphones. It enables the robot to respond to the user's call. Sometimes, a robot operates in echoic room, but the performance of sound source localization in echoic room is very poor. In this work, a verification method for reverberation is proposed and tested how much it improves the performance of sound source localization in reverberant environment.
Recently, many researchers have carried out works on audio-video integration. It is worth exploring because service robots are supposed to interact with human beings using both visual and auditory sensors. In this pap...
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Recently, many researchers have carried out works on audio-video integration. It is worth exploring because service robots are supposed to interact with human beings using both visual and auditory sensors. In this paper, we propose an audio-video method for sound source localization in reverberant environment. Using visual information from a vision camera, we could train our audio localizer to distinguish a real source from fake sources and improved the performance of audio localizer in reverberant environment.
Variability of single-unit neural recordings can significantly affect the overall performance achieved by brain machine interfaces (BMI). In this paper, we present a novel technique to adapt a linear filter commonly u...
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Variability of single-unit neural recordings can significantly affect the overall performance achieved by brain machine interfaces (BMI). In this paper, we present a novel technique to adapt a linear filter commonly used in BMI to compensate for loss of neurons from the recorded neural ensemble, thus minimizing loss in performance. We simulate the gains achieved by this technique using a model of the learning process during closed-loop BMI operation. This simulation suggests that we can adapt to the loss of 24% of the neurons controlling a BMI with only 13% drop in performance.
Photonic crystal cavities with tunable surface area via multiple-hole defects were investigated for increased resonance wavelength shins upon exposure to variable-index analytes. Sensitivity was improved by 10% compar...
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