14 research outputs found
Access control for hybrid femtocell network based on AGV mechanism
As most of voice calls and data traffic originates indoors, femtocells have been one of the most promising trends in LTE, which are short-range, cost-beneficial and low-power cellular home base stations that can improve indoor coverage and voice/data quality of service (QoS). One of the major challenges for femtocell network is the access control. The hybrid access control mechanism, as a tradeoff between open and closed scenario, is the most promising access mechanism from which both users and operators benefit. Femtocell user equipments (FUEs) select femtocell access points (FAPs) according to their reported channel information which FAPs confidently own, and selfish FAPs have incentive to report larger information to win greater opportunity to be selected. Considering the aforementioned truth-telling in access control issue, this paper proposes access control scheme for hybrid femtocell network based on Arrow-d'Aspremont-Gerard-Varet (AGV) mechanism. Close form for the payment is given. Moreover, the access control scheme is nearly optimal performances with low computational complexity compared with the optimal access scheme. Furthermore, the simulation results demonstrate that the access control scheme can be apply to hybrid femtocell network. ? 2014 Global IT Research Institute (GIRI).EICPCI-S(ISTP)
Classification of Hyperspectral Images by SVM Using a Composite Kernel by Employing Spectral, Spatial and Hierarchical Structure Information
In this paper, we introduce a novel classification framework for hyperspectral images (HSIs) by jointly employing spectral, spatial, and hierarchical structure information. In this framework, the three types of information are integrated into the SVM classifier in a way of multiple kernels. Specifically, the spectral kernel is constructed through each pixel’s vector value in the original HSI, and the spatial kernel is modeled by using the extended morphological profile method due to its simplicity and effectiveness. To accurately characterize hierarchical structure features, the techniques of Fish-Markov selector (FMS), marker-based hierarchical segmentation (MHSEG) and algebraic multigrid (AMG) are combined. First, the FMS algorithm is used on the original HSI for feature selection to produce its spectral subset. Then, the multigrid structure of this subset is constructed using the AMG method. Subsequently, the MHSEG algorithm is exploited to obtain a hierarchy consist of a series of segmentation maps. Finally, the hierarchical structure information is represented by using these segmentation maps. The main contributions of this work is to present an effective composite kernel for HSI classification by utilizing spatial structure information in multiple scales. Experiments were conducted on two hyperspectral remote sensing images to validate that the proposed framework can achieve better classification results than several popular kernel-based classification methods in terms of both qualitative and quantitative analysis. Specifically, the proposed classification framework can achieve 13.46–15.61% in average higher than the standard SVM classifier under different training sets in the terms of overall accuracy
The 40S Ribosomal Protein S6 Response to Blue Light by Interaction with SjAUREO in <i>Saccharina japonica</i>
Blue light (BL) plays an important role in regulation of the growth and development of aquatic plants and land plants. Aureochrome (AUREO), the recent BL photoreceptor identified in photosynthetic stramenopile algae, is involved in the photomorphogenesis and early development of Saccharina japonica porophytes (kelp). However the factors that interact with the SjAUREO under BL conditions specifically are not clear. Here in our study, three high quality cDNA libraries with CFU over 5 × 106 and a recombination rate of 100% were constructed respectively through white light (WL), BL and darkness (DK) treatments to the juvenile sporophytes. Based on the constructed cDNA libraries, the interactors of SjAUREO were screened and analyzed. There are eighty-four genes encoding the sixteen predicted proteins from the BL cDNA library, sixty-eight genes encoding eighteen predicted proteins from the DK cDNA library, and seventy-four genes encoding nineteen proteins from the WL cDNA library. All the predicted proteins are presumed to interact with SjAUREO when co-expressed with SjAUREO seperately. The 40S ribosomal protein S6 (RPS6), which only exists in the BL treated cDNA library except for two other libraries, and which is essential for cell proliferation and is involved in cell cycle progression, was selected for detailed analysis. We showed that its transcription was up-regulated by BL, and was highly transcribed in the basal blade (meristem region) of juvenile sporophytes but less in the distal part. Taken together, our results indicated that RPS6 was highly involved in BL-mediated kelp cellular division and photomorphogenesis by interacting with SjAUREO
The complete chloroplast genome of a Chinese endemic poorly known species Campylotropis grandifolia (Fabaceae)
The first complete chloroplast genome of Campylotropis grandifolia Schindl. is reported and characterized in this study. The whole chloroplast genome was 153,213 bp in length with 128 genes, including 81 protein-coding genes, 39 tRNAs, and eight rRNAs. Maximum-likelihood (ML) phylogenetic analysis of 25 legume species strongly supported that Campylotropis is most closely related with Kummerowia and Lespedeza, which is consistent with previous studies
Spectral–spatial classification of hyperspectral images by algebraic multigrid based multiscale information fusion
An uplink timing synchronization method for GEO mobile SAT-LTE system
In this paper, we investigate uplink timing synchronization problem in GEO mobile SAT-LTE system. Firstly, we introduce a two-hop GEO multi-beam satellite communication model, and simply analyze the issues of existed timing synchronization methods. After that, we set the round trip delay (RTD) of furthest point in a beam as the timing reference (TR), with this reference, an available uplink timing synchronization method named modified frame alignment (MFA) is proposed, which take into consideration of LTE signalling and minimum scheduling unit. In the end, the simulation result demonstrates that the proposed method has higher system efficiency, better Qos performance for delay sensitive services, and higher degree of commonality with the terrestrial LTE networks. ? 2014 Global IT Research Institute (GIRI).EICPCI-S(ISTP)
2D Modelling and energy analysis of entrapped air-pocket propagation and spring-like geysering in the drainage pipeline system
Transient (highly unsteady) air–water two-phase flows and spring-like geysers have been one of the critical concerns in drainage pipeline systems, which may cause or exacerbate drainage flooding problems and associated damage consequences. In this paper, the flow dynamics and energy evolution mechanism of the induced spring-like geysers are innovatively investigated through a two-phase full-2D numerical model developed in this study. After full validation by laboratory experimental tests conducted in this study, the proposed 2D model is systematically applied to simulate transient air–water flows in drainage pipelines. The results have shown acceptable accuracy of this full-2D model to capture the complex flow interactions between the air and water phases, and indicated that the velocity and pressure distribution patterns are highly relevant to the air–water interface deformation and energy exchange. The in-depth energy analysis demonstrates that the intermittent eruption of geysers could be attributed to the conservation and release of different energy forms during the transient air–water two-phase flow process. Besides, the numerical applications for the systems with different boundaries and initial conditions indicate that the different ventilation conditions and initially entrapped air volume may significantly affect the velocity distribution of the air phase, thereby playing an essential role to provide effective measures to mitigate unexpected geyser events and pressure oscillations in the system. The results and findings of this paper could provide insights to improve the theory and practice of transient air–water two-phase flows in drainage pipeline systems