Green Base Station Placement for Microwave Backhaul Links

Wireless mobile backhaul networks have been proposed as a substitute in cases in which wired alternatives are not available due to economical or geographical reasons. In this work, we study the location problem of base stations in a given region where mobile terminals are distributed according to a certain probability density function and the base stations communicate through microwave backhaul links. Using results of optimal transport theory, we provide the optimal asymptotic distribution of base stations in the considered setting by minimizing the total power over the whole network.Comment: Proceedings of the International Symposium on Ubiquitous Networking (UNet'17), May 2017, Casablanca, Morocc

University Scholar Series: Ted Butryn and Matthew Masucci

Examining Female Triathletes\u27 Awareness of Doping and the Anti-doping Movement On February 26, 2014, Dr. Ted Butryn and Dr. Matthew Masucci spoke in the University Scholar Series hosted by Interim Provost Andy Feinstein at the Dr. Martin Luther King, Jr. Library. SJSU professors Ted Butryn and Matthew Masucci co-investigated on a two-year World Anti-Doping Agency grant, which examined female triathletes and their awareness of doping and the anti-doping movement. Dr. Butryn is a 2012 Salzburg Fellow and Professor of Sport Sociology and Sport Psychology in the Department of Kinesiology. Dr. Masucci is an Associate Professor of Interdisciplinary Sport Studies in Kinesiology. Both Butryn and Masucci co-direct the Department of Kinesiology\u27s Qualitative Research Lab.https://scholarworks.sjsu.edu/uss/1031/thumbnail.jp

Robustness and Closeness Centrality for Self-Organized and Planned Cities

Street networks are important infrastructural transportation systems that cover a great part of the planet. It is now widely accepted that transportation properties of street networks are better understood in the interplay between the street network itself and the so called \textit{information} or \textit{dual network}, which embeds the topology of the street network navigation system. In this work, we present a novel robustness analysis, based on the interaction between the primal and the dual transportation layer for two large metropolis, London and Chicago, thus considering the structural differences to intentional attacks for \textit{self-organized} and planned cities. We elaborate the results through an accurate closeness centrality analysis in the Euclidean space and in the relationship between primal and dual space. Interestingly enough, we find that even if the considered planar graphs display very distinct properties, the information space induce them to converge toward systems which are similar in terms of transportation properties

Information Spreading on Almost Torus Networks

Epidemic modeling has been extensively used in the last years in the field of telecommunications and computer networks. We consider the popular Susceptible-Infected-Susceptible spreading model as the metric for information spreading. In this work, we analyze information spreading on a particular class of networks denoted almost torus networks and over the lattice which can be considered as the limit when the torus length goes to infinity. Almost torus networks consist on the torus network topology where some nodes or edges have been removed. We find explicit expressions for the characteristic polynomial of these graphs and tight lower bounds for its computation. These expressions allow us to estimate their spectral radius and thus how the information spreads on these networks

Defensive Resource Allocation in Social Networks

In this work, we are interested on the analysis of competing marketing campaigns between an incumbent who dominates the market and a challenger who wants to enter the market. We are interested in (a) the simultaneous decision of how many resources to allocate to their potential customers to advertise their products for both marketing campaigns, and (b) the optimal allocation on the situation in which the incumbent knows the entrance of the challenger and thus can predict its response. Applying results from game theory, we characterize these optimal strategic resource allocations for the voter model of social networks.Comment: arXiv admin note: text overlap with arXiv:1402.538

Diophantine networks

We introduce a new class of deterministic networks by associating networks with Diophantine equations, thus relating network topology to algebraic properties. The network is formed by rep- resenting integers as vertices and by drawing cliques between M vertices every time that M dis- tinct integers satisfy the equation. We analyse the network generated by the Pythagorean equation x2+y2 = z2 showing that its degree distribution is well approximated by a power law with exponen- tial cut-o®. We also show that the properties of this network di®er considerably from the features of scale-free networks generated through preferential attachment. Remarkably we also recover a power law for the clustering coe±cient. We then study the network associated with the equation x2 + y2 = z showing that the degree distribution is consistent with a power-law for several decades of values of k and that, after having reached a minimum, the distribution begins rising again. The power law exponent, in this case, is given by ° » 4:5 We then analyse clustering and ageing and compare our results to the ones obtained in the Pythagorean case

Increasing Low-income Mothers’ Educational Attainment: Implications for Anti-poverty Programs and Policy

Context: Emerging research indicates parental educational attainment is not always stable over time, particularly among young adults with lower levels of income and educational attainment. Though increases in postsecondary education are often highlighted as a route to greater earnings among higher-income students, it is unclear whether increases in parental educational attainment can improve the socioeconomic circumstances of low-income families. Objective: The first goal of the current study was to determine whether low-income mothers increased their educational attainment over a 6-year period as their children transitioned from early childhood through elementary school. Second, the current study examined a range of individual characteristics that may help or hinder a mother’s re-entrance into education. Last, associations between increased maternal education and indicators of family socioeconomic resources were examined to determine ways that increased education among low-income mothers of young children may serve as a mechanism to reduce poverty or other poverty-related risks. Design and Sample: Data for this study come from the Chicago School Readiness Project (CSRP), a cluster randomized control trial of Head Start centers and a longitudinal follow-up of children and their families. The current study included 432 participants. Of those participants, 97% were the child’s mother or female caregiver, 70% lived below the Federal Poverty Line at baseline, and 93% identified as a racial/ethnic minority (i.e., African American, black, or Hispanic). Main Outcome Measures: Maternal educational attainment was collected at 4 time-points across a 6-year period. From these data, a binary variable was created to indicate whether (1) or not (0) mothers increased their educational attainment. Maternal report of household income, unemployment status, and poverty-related risk were examined as indicators of family socioeconomic resources. Results: Thirty-nine percent of mothers increased their educational attainment over the 6-year period of study, and the majority of those mothers attained additional degrees rather than years of schooling alone. Mothers whose children attended treatment-assigned preschool classrooms at baseline were subsequently more likely to increase their educational attainment over time than were mothers of children who initially attended control-assigned classrooms in preschool. Analyses of the roles of parental characteristics in predicting gains in maternal education suggest that mothers who reported greater depressive symptomatology were less likely to increase their educational attainment. Increases in educational attainment, in turn, were positively associated with income earned in subsequent years of our longitudinal follow-up study and negatively associated with maternal unemployment and poverty-related risk when children were in 5th grade. Conclusions: Increases in parent educational attainment were impressive for our sample of low-income mothers, given their exposure to a range of poverty-related risks. Furthermore, our analyses support prior research suggesting that increases in maternal educational attainment may serve as an important mechanism to reduce families’ experience of income poverty