Bonnor-type Black Dihole Solution in Brans-Dicke-Maxwell Theory

It was originally thought that Bonnor's solution in Einstein-Maxwell theory describes a singular point-like magnetic dipole. Lately, however, it has been demonstrated that indeed it may describe a black {\it dihole}, i.e., a pair of static, oppositely-charged extremal black holes with regular horizons. Motivated particularly by this new interpretation, in the present work, the construction and extensive analysis of a solution in the context of the Brans-Dicke-Maxwell theory representing a black dihole are attempted. It has been known for some time that the solution-generating algorithm of Singh and Rai produces stationary, axisymmetric, charged solutions in Brans-Dicke-Maxwell theory from the known such solutions in Einstein-Maxwell theory. Thus this algorithm of Singh and Rai's is employed in order to construct a Bonnor-type magnetic black dihole solution in Brans-Dicke-Maxwell theory from the known Bonnor solution in Einstein-Maxwell theory. The peculiar feature of the new solution including internal infinity nature of the symmetry axis and its stability issue have been discussed in full detail.Comment: 29 pages, Revtex4, Int. J. Mod. Phys. A (IJMPA), in pres

Formulating the Net Gain of MISO-SFN in the Presence of Self-Interferences

In this study, an analytical formula for multiple-input single-output single frequency network gain (MISO-SFNG) is investigated. To formulate the net MISO-SFNG, we derived the average signal to interference plus noise ratio (SINR) where the gain achieved by the distributed MISO diversity as a function of power imbalance is curve-fitted. Further, we analyzed the losses owing to self-interferences resulting from the delay spread and imperfect channel estimation. We verified the accuracy and effectiveness of the derived formula by comparing the measurement results with the analytical results. The derived formula helps to understand how various system factors affect the gain under a given condition. The formula can be used to evaluate the MISO-SFNG and to predict the MISO-SFN coverage in various system configurations

Predicting realistic and precise human body models under clothing based on orthogonal-view photos

6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015, Las Vegas, USA, 26-30 Jul 20152015-2016 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

3D Randomized Connection Network with Graph-based Label Inference

In this paper, a novel 3D deep learning network is proposed for brain MR image segmentation with randomized connection, which can decrease the dependency between layers and increase the network capacity. The convolutional LSTM and 3D convolution are employed as network units to capture the long-term and short-term 3D properties respectively. To assemble these two kinds of spatial-temporal information and refine the deep learning outcomes, we further introduce an efficient graph-based node selection and label inference method. Experiments have been carried out on two publicly available databases and results demonstrate that the proposed method can obtain competitive performances as compared with other state-of-the-art methods

An empirical analysis of humanitarian warehouse locations

Purpose: The purpose of this paper is to empirically verify characteristics of current warehouse locations of humanitarian organizations (based on public information) and to relate those to the model developed by Richardson et al. (2016). Design/methodology/approach: This paper is based on desk research. Public data such as (annual) reports and databases are used to empirically verify location characteristics. Findings: A significant portion of our sample co-locates their products at UNHRD premises. This indicates that organizations prefer to cluster warehouse activities, particularly when there is no fee involved for using the warehouse (as is the case in the UNHRD network). We find that the characteristics of the current warehouse locations are aligned with literature on location selection factors. Current location can be characterized by infrastructure characteristics (in particular closeness to airport and safety) and by low occurrence of disasters. Other factors for which we did not find evidence for were labor quality and availability as well as political environment. Research limitations/implications: We have used a limited sample of warehouses. We also focused our research on the countries where two or more organizations have their warehouses located. We did not account for warehouse sizes or product stored in our analysis. Practical implications: The geographic map of the current warehouses together with the quantified location factors provides an overview of current warehouse locations. Originality/value: We empirically verify characteristics of warehouse locations of humanitarian organizations. This differs from other studies that do not provide an empirically grounded perspective