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Article

SELECTING THE OPTIMAL MULTIDIMENSIONAL SCALING PROCEDURE FOR METRIC DATA WITH R ENVIRONMENT

In multidimensional scaling (MDS) carried out on the basis of a metric data matrix (interval, ratio), the main decision problems relate to the selection of the method of normalization of the values of the variables, the selection of distance measure and the selection of MDS model. The article proposes a solution that allows choosing the optimal multidimensional scaling procedure according to the normalization methods, distance measures and MDS model applied. The study includes 18 normalization

Marek Walesiak, Andrzej Dudek

Statistics in Transition New Series , ISSUE 3, 521–540

Research Article

SCALING ISSUES IN LARGE NETWORKS OF SMALL SENSORS: ENERGY AND COMMUNICATION MANAGEMENT

We discuss five scaling-related issues in robotics and robotic systems. They are unified by an understanding of the fundamental engineering constraints imposed by the essentially fixed fundamental strength of materials and the essentially fixed practical density at which energy can be stored. These constraints have profound effects on when big bodies are in danger of collapsing under their own weight and when small bodies are in danger of running out of fuel. The section on strength provides a

Mel Siegel

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 285–299

Article

A COMPARATIVE ANALYSIS OF ECONOMIC EFFICIENCY OF MEDIUM-SIZED MANUFACTURING ENTERPRISES IN DISTRICTS OF WIELKOPOLSKA PROVINCE USING THE HYBRID APPROACH WITH METRIC AND INTERVAL-VALUED DATA

The article describes a hybrid approach to evaluating economic efficiency of medium-sized manufacturing enterprises (employing from 50 to 249 people) in districts of Wielkopolska province, using metric and interval-valued data. The hybrid approach combines multidimensional scaling with linear ordering. In the first step, multidimensional scaling is applied to obtain a visual representation of objects in a two-dimensional space. In the next step, a set of objects is ordered linearly based on the

Grażyna Dehnel, Marek Walesiak

Statistics in Transition New Series , ISSUE 2, 49–68

Research Article

Explorative Visualization of Citation Patterns in Social Network Research

We propose a visual representation of bibliographic data based on shared references. Our method employs a distance metric that is derived from bibliographic coupling and then subjected to fast approximate multidimensional scaling. Its utility is demonstrated by an explorative analysis of social network publications that, most notably, depicts the genesis of an area now commonly referred to as network science. However, the example also illustrates some common pitfalls in bibliometric analysis.

Ulrik Brandes, Christian Pich

Journal of Social Structure , ISSUE 1, 1–19

Article

A Fault Detection Method for Combinational Circuits

important as in sequential parts such as memory elements nowadays. The reason is that advances in scaling technology have led to reduced electrical masking .This paper proposes and evaluates a logic level fault-tolerant method based on parity for designing combinational circuits. Experimental results on a full adder circuit show that the proposed method makes the circuit fault- tolerant with less overhead in comparison with traditional methods. It will also be demonstrated that our proposed method

Ali Abbass Zoraghchian, Moslem Didehban, Mohammad Reza Mehrabian

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, –

research-article

A case study of soil food web components affected by Fallopia japonica (Polygonaceae) in three natural habitats in Central Europe

environmental characteristics (soil pH and soil microbial respiration as constrained variables) were analyzed by ordination techniques. Redundancy analysis (RDA) was performed using Canoco 5 (Ter Braak and Šmilauer, 2012), because response data were compositional and had a gradient of 1.7 standard deviations. The significance of the axis was tested by a Monte Carlo permutation test. Non-metric multidimensional scaling (NMS) ordination was used to examine any changes in the structure of nematode community

Andrea Čerevková, Lenka Bobuľská, Dana Miklisová, Marek Renčo

Journal of Nematology , 1–16

Research Article

BAYESIAN MULTIPLE PERSON TRACKING USING PROBABILITY HYPOTHESIS DENSITY SMOOTHING

targets, so it also has the potential benefit of scaling well with a large number of persons being tracked. The PHD filter achieves interesting results for the multiple persons tracking problem, albeit discarding useful information from higher order interactions. Nevertheless, a backward state-space representation using PHD smoothing can be used to refine the filtered estimates. In this paper, we present two smoothing strategies for improving PHD filter estimates in multiple persons tracking. Results

S. Hernandez, M. Frean

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 285–312

Article

THE APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS TO THE VALUATION OF DURABLE GOODS BRANDS

 of marketing strategy. The main aim of this study is an attempt to improve the process of analysing the position and value of brands using selected multivariate statistical analysis methods (hedonic regression, multidimensional scaling, classification and linear ordination methods). In the conducted research the direct approach to the evaluation of the position of the brands for a selected ICT good – smartphones – have been applied. The measurement was performed

Marta Dziechciarz-Duda, Anna Król

Statistics in Transition New Series , ISSUE 1, 75–90

Original Paper

Molecular Study of Indigenous Bacterial Community Composition on Exposure to Soil Arsenic Concentration Gradient

analysis of 16S rDNA based DGGE fingerprint markedly distributed the soil bacterial populations into low (< 10 ppm) and high (> 10 ppm) arsenic content subgroups. Following analysis of diversity indices shows significant variation in bacterial community structure. MDS (Multi Dimensional Scaling) plot revealed distinction in the distribution of each sample denoting variation in bacterial diversity. Phylogenetic sequence analysis of fragments excised from DGGE gel revealed the presence of &gamma

Semanti Basu, Tanima Paul, Priya Yadav, Abhijit Debnath, Keka Sarkar

Polish Journal of Microbiology , ISSUE 2, 209–221

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