12,953 research outputs found
Temporal context-aware recommendation
No full textUsers’ behaviors in social media systems are generally influenced by intrinsic interest as well as the temporal context (e.g., the public’s attention at that time). In this chapter, we focus on analyzing user behaviors in social media systems and designing a latent class statistical mixture model, named temporal context-aware mixture model (TCAM), to account for the intentions and preferences behind user behaviors. TCAM simultaneously models the topics related to users’ intrinsic interests and the topics related to temporal context, and then combines the influences from the two factors to model user behaviors in a unified way. To further improve the performance of TCAM, an item-weighting scheme is proposed to enable TCAM to favor items that better represent topics related to user interests and topics related to temporal context, respectively. Extensive experiments have been conducted to evaluate the performance of TCAM on four real-world datasets crawled from different social media sites. The experimental results demonstrate the superiority of the TCAM models
SafeCity: A Heterogeneous Mobile Crowd Sensing System for Urban Public Safety
No full textAs important indicators of urban public safety, public safety and environmental security (PSES) is related to residents’ living security and greatly affects their quality of life and happiness index. Due to PSES characteristics, such as diverse forms, wide distribution, and unpredictable occurrence times, traditional solutions consume huge manpower, and time in the implementation process. Although some professional software and hardware systems have emerged to assist in solving the problems, there are still challenges, such as limited sensing coverage and monotonous sensing modes, lack of interaction and understanding between systems and tasks, and scarcity of effective system architecture and functional modules. To meet these challenges, we design a PSES multiterminal fusion system (SafeCity) based on the idea and technology of heterogeneous mobile crowd sensing. With collaboration among humans, machines, and things (H-M–T), the proposed system makes full use of the idle mobility, sensing, and computing resources in the city, and systematically provides a solution to the various PSES issues. Apart from the system architecture, functions, core mechanism, and algorithm libraries, the task execution flow is explained in depth through the description of several cases. We implement a prototype to verify the rationality and effectiveness of SafeCity. And, comprehensive comparison and evaluation show that SafeCity is far superior to other solutions in terms of function, performance, and stability
Flexural Behavior of near Surface Mounted CFRP Bars Strengthened Reinforced Concrete Beams
No full textIn recent decades, use of fibre reinforced polymers (FRP) materials has become very popular for strengthening / re-strengthening of reinforced concrete (RC) structures. This includes flexural and shear strengthening of RC structural members such as slabs, beams and columns.In this study, a computerized analytical model is presented to predict the load-deflection response of flexure critical RC beams externally strengthened with near surface mounted (NSM) CFRP laminates. The analyical model utilizes constitutive material properties of concrete, reinforcing steel, CFRP laminate materials, strain compatibility, sectional analysis to develop moment-curvature relationships, which then are used to generate the load-rotations and load-deflection of the flexure critical RC Beams strengthend with NSM CFRP laminates. For validation of the analytical model, the predictions of the analytical model are compared with the experimental results of flexure critical RC beams strengthened with NSM CFRP laminates and the comparisons are judged to be good.As a part of the experimental investigation of this study, a series of 18 full scale beams Reinforced Concrete Beams strengthened with carbon fiber reinforced polymer (CFRP) laminates will be tested in flexure and shear. The results of flexural tests will be analyzed and compared with the predictions of the analytical model
Tools for music information retrieval and playing
No full textState-of-the-art MIR issues are presented and discussed both from the symbolic and audio points of view. As for the symbolic aspects, different approaches are presented in order to provide an overview of the different available solutions for particular MIR tasks. This section ends with an overview of MX, the IEEE standard XML language specifically designed to support interchange between musical notation, performance, analysis, and retrieval applications. As for the audio level, first we focus on blind tasks like beat and tempo tracking, pitch tracking, and automatic recognition of musical instruments. Then we present algorithms that work both on compressed and uncompressed data. We analyze the relationships between MIR and feature extraction presenting examples of possible applications. Finally we focus on automatic music synchronization and we introduce a new audio player that supports the MX logic layer and allows users to play both score and audio coherently
Native p-type transparent conductive CuI via intrinsic defects
No full textThe ability of CuI to be doped p-type via the introduction of native defects has been investigated using first-principles pseudopotential calculations based on density functional theory. The Cu vacancy has a lower formation energy than any of the other native defects, which include I vacancy (V(I)), Cu interstitial (Cu(i)), I interstitial (I(i)), Cu antisite (Cu(I)), and I antisite (I(Cu)). Combined with its shallow acceptor level, it offers sufficient hole concentrations in CuI. The natural band alignments as compared to zinc-blende ZnS, ZnSe, and ZnTe have also been calculated in order to further identify the p-type dopability of CuI. It is found that CuI has a relatively high valence band maximum and conduction band minimum, which also makes it easy to dope CuI p-type in terms of the doping limit rule. In addition, the small effective mass of the light hole-about 0.303m(0)-can provide high mobility and p-type conductivity in CuI. All of these results make CuI an ideal candidate for native p-type materials (C) 2011 American Institute of Physics. [doi:10.1063/1.3633220
Music representation of score, sound, MIDI, structure and metadata all integrated in a single multilayer environment based on XML
No full textIn this chapter, we will analyze the heterogeneous contents involved in a comprehensive description of music, organizing them according to a multilayer structure. Each layer we can identify corresponds to a different degree of abstraction in music information. In particular, our approach arranges music contents in six layers: General, Music Logic, Structural, Notational, Performance, and Audio.
In order to reflect such organization, we will introduce a new XML-based format, called MX, which is currently undergoing the IEEE standardization process (IEEE SA PAR1599). In an MX file, music symbols, printed scores, audio tracks, computer-driven performances, catalogue metadata, and graphic contents related to a single music piece can be linked and mutually synchronized within the same encoding. The aforementioned multilayer structure allows us to gather and organize heterogeneous contents, leaving them encoded in well-known and commonly used formats aimed at music description
Gli effetti del diritto dell'Unione nell'ordinamento italiano e il principio di entropia
No full textPer una revisione della prospettiva da cui si guardano le relazioni tra norme interne e norme europe
Refinement of under-determined loops of human prion protein by database-derived distance constraints
No full textCui, Feng; Mukhopadhyay, Kriti; Young, Won-Bin; Jernigan, Robert L.; Wu, Zhijun. (2007). Refinement of under-determined loops of human prion protein by database-derived distance constraints. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/5388
A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem
No full textThe online bin packing problem is a well-known optimization challenge that finds application in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called FuzzyPatternPack(FPP), which leverages fuzzy inference and pattern-based predictions of the distribution of item sizes in online bin packing. In comparison to traditional heuristics like BestFit(BF) and FirstFit(FF), as well as the more recent PatternPack(PaP) and ProfilePacking(PrP) algorithm based on online predictions, FPP demonstrates competitive and superior performance in solving various benchmark problems. Particularly, it excels in addressing problems with evolving distributions, making it a promising solution for real-world applications where the item sizes may change over time. This research unveils the promising potential of employing fuzzy logic to effectively address uncertainty in scheduling and planning problems
FIGURES 1–2 in A new genus and species of Old World Opsiini (Hemiptera: Cicadellidae: Deltocephalinae), with a key to genera and species checklist for the tribe
No full textFIGURES 1–2. Introrsa yaoquensis sp. nov. 1. Habitus, dorsal view; 2. Habitus, lateral view.Published as part of Dai, Wu, Cui, Wei, Xiao, Bin & Zhang, Yalin, 2010, A new genus and species of Old World Opsiini (Hemiptera: Cicadellidae: Deltocephalinae), with a key to genera and species checklist for the tribe, pp. 55-68 in Zootaxa 2607 on page 59, DOI: 10.5281/zenodo.19772
- …
