Community-based Outlier Detection for Edge-attributed Graphs

The study of networks has emerged in diverse disciplines as a means of analyzing complex relationship data. Beyond graph analysis tasks like graph query processing, link analysis, influence propagation, there has recently been some work in the area of outlier detection for information network data. Although various kinds of outliers have been studied for graph data, there is not much work on anomaly detection from edge-attributed graphs. In this paper, we introduce a method that detects novel outlier graph nodes by taking into account the node data and edge data simultaneously to detect anomalies. We model the problem as a community detection task, where outliers form a separate community. We propose a method that uses a probabilistic graph model (Hidden Markov Random Field) for joint modeling of nodes and edges in the network to compute Holistic Community Outliers (HCOutliers). Thus, our model presents a natural setting for heterogeneous graphs that have multiple edges/relationships between two nodes. EM (Expectation Maximization) is used to learn model parameters, and infer hidden community labels. Experimental results on synthetic datasets and the DBLP dataset show the effectiveness of our approach for finding novel outliers from networks

Separation of variables for a lattice integrable system and the inverse problem

We investigate the relation between the local variables of a discrete integrable lattice system and the corresponding separation variables, derived from the associated spectral curve. In particular, we have shown how the inverse transformation from the separation variables to the discrete lattice variables may be factorised as a sequence of canonical transformations, following the procedure outlined by Kuznetsov.Comment: 14 pages. submitted for publicatio

Search for Narrow-Width ttbar Resonances in ppbar Collisions at center of mass energy = 1.8 TeV

We present a preliminary result on a search for narrow-width resonances that decay into ttbar pairs using 130 pb^{-1} of lepton plus jets data in ppbar collisions at center of mass energy = 1.8 TeV. No significant deviation from Standard Model prediction is observed. 95% C.L. upper limits on the production cross section of the narrow-width resonance times its branching fraction to ttbar are presented for different resonance masses, M_X. We also exclude the existence of a leptophobic topcolor particle, X, with M_X < 560 GeV/c^2 for a width \Gamma_X = 0.012 M_X.Comment: 3 pages, 1 figure; Submitted for proceedings of 5th International Conference on Quark Confinement and Hadron spectrum, held in Italy, from 11-14 Sep., 200

Development of Indices for Effectiveness of Renewable Energy Technologies Impacting Change in Quality of Life of Rural Residents

The history of economic development is on the cost of ecology rather than the sustaining environment and development. The countries that became centrally located in the stream of economic exchanges among people around the world impacted the environment in the long run. Newspapers and editorials include environmental horror stories almost on a daily basis and demand better management of natural resources (Jangu, 2014). But who is listening? The environment is not just lush green trees, threated plant and animal species. It is the entity on which humans primarily exist, and agricultural and industrial development depends. Development on the cost of the environment can never be sustainable rather it would take us to a point causing enormous ecological losses and human sufferings primarily because of the present rate of development in developing countries. In order to contribute to the overall development in India, access to modern energy and cleaner fuel for rural households is important. The Brundtland Commission in its 1987 report ‘Our Common Future\u27 coined the most quoted definition of the term sustainable development, i.e., development that meets the needs of the present without compromising the ability of the future generations to meet their own needs (Mathur and Goswami, 2016). Sustainable production and consumption of resources helps to satisfy necessities of life such as nutritious food, good health, clean water and sanitation, clean energy, education, employment creating sustainable communities while combating climate change. Having a negative energy balance for decades, India is forced to purchase energy from other countries to fulfil the needs of the entire country. Hence, energy access is an important component of poverty alleviation and an indispensable element of sustainable human development. Government of India has initiated numerous development programmes focussing on providing sustainable energy solutions to rural communities often deprived of clean and uninterrupted energy supply for their daily energy requirements. The study entitled ‘Renewable Energy Options among Rural Households\u27 was conducted in Haryana and Himachal Pradesh states. The outcomes of the study provide a roadmap for future programmes promoting the use of clean, efficient and modern energy technologies, to be implemented more effectively. Findings would further benefit the primary and secondary key stakeholders involved in research and development, formulation of policies and regulations, promoting sale and purchase and provide financial assistance to future energy programmes meant to popularize the use of Renewable Energy Technologies

Eulerian Walkers as a model of Self-Organised Criticality

We propose a new model of self-organized criticality. A particle is dropped at random on a lattice and moves along directions specified by arrows at each site. As it moves, it changes the direction of the arrows according to fixed rules. On closed graphs these walks generate Euler circuits. On open graphs, the particle eventually leaves the system, and a new particle is then added. The operators corresponding to particle addition generate an abelian group, same as the group for the Abelian Sandpile model on the graph. We determine the critical steady state and some critical exponents exactly, using this equivalence.Comment: 4 pages, RevTex, 4 figure

Inheritance of powdery mildew resistance in sunflower (Helianthus annuss L.)

Powdery mildew caused by Golovinomyces cichoracearum is the most important disease on sunflower worldwide. The investigation was undertaken to determine the mode of genetic inheritance of powdery mildew resistance in five F1 and F2 populations of sunflower. The four hybrids were derived by crossing resistant with susceptible genotype and one hybrid between resistant and highly susceptible genotype. Out of 23 hybrids, five crosses viz., PM-22x PM-36, PM-14xPM-36, PM-16xPM-38, PM-17xPM-35 and PM-34x PM-23 were resistant under natural as well as artificial epiphytotic screening conditions and the same five resistant hybrids segregated in 9R:7S ratio in F2 population indicating involvement of two independent loci controlling powdery mildew resistance in sunflower