142 research outputs found
GSLDA: Supervised topic model with graph regularization
No full textIn this work, we study the problem of regularizing supervised topic model using graph structure. Supervised topic model generates each document independently, whereas in many applications there are links among documents, which are quite useful for refining topics. To overcome this limit of supervised topic model, we propose a regularization framework using graph structure. By leveraging both textual content and link structure, the output of the proposed model can promote effect of topic extraction and social network analysis simultaneously. Experiment results on two real datasets demonstrate the effectiveness of the proposed approach. ? 2014 IEEE.EICPCI-S(ISTP)
Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model
No full textIn independent cascade model, an active node has only one chance to activate its neighbors, while in reality an active node has many chances to activate its neighbors. We propose an influence diffusion model called multiple spread model, in which an active node has many activation chances. We prove that influence maximizing problem with the proposed model is submodular and monotone, which means greedy algorithm provides (1-1/e) approximation to optimal solution. However, computation time costs much due to Monte Carlo simulation in greedy algorithm. We propose a two-phase method which leverages community information to find seeds. In order to evaluate influence of a particular node, we also propose a definition of local influenced community as well as an algorithm called LICD to detect local influenced community. Experiments show that the proposed model and algorithms are both efficient and effective in problems of influence maximizing and local influenced community detection.Computer Science, Artificial IntelligenceComputer Science, Information SystemsEICPCI-S(ISTP)
Developing a Trichotomy Model to Measure Socially Responsible Behaviour in China
No full text Since the Chinese government advocated a Harmonious Society, socially responsible consumption has increased and companies are responding to the trend. However, our understanding of the attitude and behaviour of 1.3 billion Chinese consumers on socially responsible consumption is almost blank. The primary objective of the present study is to develop a scale to measure socially responsible consumer behaviour (SRCB) in China's Taoist context. The secondary objective is to identify whether Chinese consumers share the same ecological and social concerns with their western counterparts as previous research suggests. This paper starts with a new definition of SRCB based on a literature review, then identifies the dimensions of SRCB in China on the basis of in-depth interviews and previous findings. Finally, a nine-factor, 34-item scale is developed through a widely used scale-building process. Differences with findings from the US and France are discussed and marketing implications are elaborated. </jats:p
Learning connectivity and higher-order interactions in radial distribution grids
No full textTo perform any meaningful optimization task, distribution grid operators need to know the topology of their grids. Although power grid topology identification and verification has been recently studied, discovering instantaneous interplay among subsets of buses, also known as higher-order interactions in recent literature, has not yet been addressed. The system operator can benefit from having this knowledge when re-configuring the grid in real time, to minimize power losses, balance loads, alleviate faults, or for scheduled maintenance. Establishing a connection between the celebrated exact distribution flow equations and the so-called self-driven graph Volterra model, this paper puts forth a nonlinear topology identification algorithm, that is able to reveal both the edge connections as well as their higher-order interactions. Preliminary numerical tests using real data on a 47-bus distribution grid showcase the merits of the proposed scheme relative to existing alternatives.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
Modeling of a plasmonic nanosensor based on an open box-like metal cavity
No full textWe propose a plasmonic nanosensor based on an open box-like metal nanocavity. Surface plasmon polaritons (SPPs) excited at the metal/dielectric interface oscillate in the cavity, and then, plasmonic resonance modes are formed. Since the cavity is open, a part of the resonance light of the SPPs is scattered to light. By monitoring the shift in the scattering spectrum, the refractive index change of the sensed material can be derived. Because of the high reflectivity of the metallic walls, the sensitivity and figure of merit (FOM) are higher than those using single nanoparticle or nanoantenna. A sensitivity of 1046 nm/RIU (RIU denotes refractive index unit) and a FOM of 23.4 are derived for a 700 nm long and 350 nm high square cavity. Furthermore, the sensing area of the proposed sensor is smaller than 1 mu m(2) and the performance of the nanosensor can be further tuned by varying the cavity dimensions. The proposed sensor is well suited for observing small changes in biological and chemical reactions.National Natural Science Foundation of China [61377050, 11574011]; Research Fund for Doctoral Program of Higher Education [20130001110050]SCI(E)[email protected]
Using link and content to detect social communities
No full textIn social network analysis, community detection is an important task that aims at uncovering hidden community structure. Most of the existing methods only consider link structure in networks. However, many of them are affected by detectability threshold, a limitation that may leads to ill-defined communities. Moreover, there is link noise in networks, which makes the task more challenging. Fortunately, vertices are often associated with textual content, which is a reasonable complement for identifying good partitions. In this work, we propose an algorithm CLICT to detect social communities. The work consists of three steps: 1) expansion of social network with content similarity; 2) initial partition for weighted network; 3) refinement by triangle participation ratio. Experimental results on two real social networks demonstrate that the proposed algorithm is effective for community detection. ? 2015 IEEE.EI1481-148
Research on the Key technologies of Simulation Grid Resource Scheduling Based on Machine Learning
No full textNotice of Retraction Studying diameter distribution of natural secondary stand based on artificial neural network
No full textIntegrated River Restoration in a Mountainous City and Case Study
No full textAbstractThe river in a mountainous city is usually confronted with problems of short flood response time, water shortage in the dry season, artificialization of river channel, and shortage of hydrophilic spaces. Besides traditional requirements of flood control and drainage, the urban river also has functions of providing habitat, landscape, and recreation. We developed an integrated plan for river restoration in a mountainous city, based on the concept of safe, near natural, and convenient to enjoy water. We carried out case study of the Jiangshui River in Longkou City, Shandong Province, considering integrated aspects of flood control, water resources allocation, environmental protection, ecological restoration, and river landscape. Flood security was assessed by applying one-dimensional hydraulic model. Base flow was estimated, and it was maintained in the dry season by water saving in upstream irrigation areas and reuse of treated water. Water quality could be improved by increasing the collecting capacity of waste water. The low flow channel was meandering in the channel with water falls to increase habitat diversity and accessibility to water. The flood land was vegetated and constructed for citizens to enjoy water. The restoration project in the Jiangshui River was executed from 2013 to 2014. This study can help accumulate experiences of urban river restoration especially for the river in mountainous cities
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