Informatics

Empowerment of women in India: a multi-criteria decision making approach
Women empowerment calls for creating a political, economic and social environment which enables their equal access to control over the means that are critical for leading socio-economical productive and healthy lives. This study investigates the important parameters responsible for women empowerment. The research utilises a new research methodology multi-criteria futuristic fuzzy decision hiera...


The timing and terms in mergers and acquisitions motivated by economies of scale and risk diversification
In this paper, we analyse the mergers and acquisitions motivated by economies of scale and risk diversification via real option approach. The model shows that the bidder and the target firm simultaneously exercise their own exchange options when the ratio of two product prices reaches either the lower threshold from below or the higher threshold from above, and the shares of two firms in the po...
Prediction of stock price based on hidden Markov model and nearest neighbour algorithm
Stock prices change every day as a result of market forces and other economic factors. The price fluctuation results into unpredictable supply (buy) and demand (sell) of the shares over a span of time. In this research, we have used hidden Markov model on the input stock data and parameters to create a composite model which can predict an important entity of the stock market, the next day's ope...


IFPDM: a framework to integrate information fusion and probabilistic decision making
It is not an easy task to obtain decisions from raw data; therefore, we designed an information fusion and probabilistic decision making framework (IFPDM). It comprises two phases and each phase consists of several layers. The first phase goes up from raw data to belief computation. In this phase, the bottom layer consists of multiple sources of textual data. Then a multi-agent system (MAS) pla...
Mining for critical stock price movements using temporal power laws and integrated autoregressive models
This paper investigates the practical applicability of the log-periodic power law model to forecast large drawdowns of stock prices and compares its performance with the performance of the classical integrated autoregressive time series model. Both models are fitted to the daily closing prices of the Dow Jones index. In the case of the log-periodic power law model an alarm is issued if any fit ...


Intrinsic computation of centroidal voronoi tessellation (CVT) on meshes
Centroidal Voronoi tessellation (CVT) is a special type of Voronoi diagram such that the generating point of each Voronoi cell is also its center of mass. The CVT has broad applications in computer graphics, such as meshing, stippling, sampling, etc. The existing methods for computing CVTs on meshes either require a global parameterization or compute it in the restricted sense (that is, interse...
Feature-preserving T-mesh construction using skeleton-based polycubes
This paper presents a novel algorithm which uses skeleton-based polycube generation to construct feature-preserving T-meshes. From the skeleton of the input model, we first construct initial cubes in the interior. By projecting corners of interior cubes onto the surface and generating a new layer of boundary cubes, we split the entire interior domain into different cubic regions. With the split...

Reliable detection and separation of components for solid objects defined with scalar fields
The detection of the number of disjoint components is a well-known procedure for surface objects. However, this problem has not been solved for solid models defined with scalar fields in the so-called implicit form. In this paper, we present a technique which allows for detection of the number of disjoint components with a predefined tolerance for an object defined with a single scalar function...
Follow thy neighbor: Connecting the social and the spatial networks on Twitter
This paper compares the social properties of Twitter users’ networks with the spatial proximity of the networks. Using a comprehensive analysis of network density and network transitivity we found that the density of networks and the spatial clustering depends on the size of the network; smaller networks are more socially clustered and extend a smaller physical distance and larger networks ar...

A new approach for bikeshed analysis with consideration of topography, street connectivity, and energy consumption
In recent years, bike planning has gained the attention of planners and the public as a sustainable and active mode of transportation that can reduce traffic congestion, vehicle emissions, and health risks. Following the success of public bikesharing programs in cities in France and Canada, multiple US cities have initiated similar programs. With this background, spatial analysis has been appli...
The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery
Spatial metrics combined with spectral information extracted from very-high-resolution (VHR) imagery allow quantification of the general spatial characteristics of urban areas, as well as specific morphological features (i.e., density, size, and pattern) of unplanned settlements. Such morphological features are visible in VHR imagery, but they are challenging to quantify. Still, quantification ...

Inferring building functions from a probabilistic model using public transportation data
Cities are complex systems. They contain different functional areas originally defined by planning and then reshaped by actual needs and use by the inhabitants. Estimating the functions of urban space is of significant importance for detecting urban problems, evaluating planning strategies, and supporting policy making. In light of the potential of data mining and spatial analysis techniques fo...
A new Spatial OLAP approach for the analysis of Volunteered Geographic Information
Volunteered Geographic Information (VGI) has great potential for enhancing analysts’ capabilities, assuming that VGI data quality issues, such as credibility and precision, are properly addressed. In this paper, we study the integration of VGI in Spatial OLAP (SOLAP) systems, which allow the integration and analysis of large volumes of good quality data. Using a real-world scenario, we highli...
Integrating an urban green space typology into procedural 3D visualization for collaborative planning
Urban green spaces offer multiple ecosystem services (ES), which provide a variety of benefits to human well-being. Yet in urban planning they are not taken into account systematically. Recently new tools have been developed integrating ES into procedural modeling and visualization to raise stakeholder awareness for the explicit ES trade-offs that have to be made. These tools yet do not allow f...
Land use patterns, temperature distribution, and potential heat stress risk – The case study Berlin, Germany
In western societies, the combined effects of climate warming, proceeding urbanization, and demographic change (e.g. population aging) increase the risk of city populations to be subjected to heat-related stress. To provide a scientific fundament for city-wide and spatially explicit adaptation planning, urban heat distribution and the population at risk need to be studied at small spatial scale...