Simple Sum Method Research Articles

Statistical characterization and simulation of graphene-loaded polypyrrole composite electrical conductivity

In this study, an effective method has been described and adopted to quantify the diameter and length of graphene nanofiller. The experimentally measured graphene parameters were modelled by using the Weibull distribution. The fitted graphene nanofiller length and diameter were used to predict the electrical conductivity of the graphene-loaded polypyrrole. The reliability of the dispersion of the filler in the matrix is, aided by the adequate distribution of the filler. An analytical model was developed to study the conductivity of the polypyrrole-graphene (PPy-Gr) composite. In the model, the interfacial effect of the composite constituents was considered and the electrical conductivity of the composite was determined by the simple-sum method. The percolation threshold and the electrical conductivity dependencies of the composites were evaluated by concurrently varying the potential barrier, filler electrical conductivity and the interfacial thickness and the matrix conductivity. The current model produced results, which are in good agreement with experimental measurements of different polymer-composites. It is envisaged that the method employed in this study, can be extended to other polymer-filler mixture as a predictive, optimization and design tool, for polymer composites of any type.

LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS.

Genome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and tissues of origin to guide functional characterization. Here, we present a web-based colocalization browsing and testing tool named LocusFocus (https://locusfocus.research.sickkids.ca). LocusFocus formally tests colocalization using our established Simple Sum method to identify the most relevant genes and tissues for a particular GWAS locus in the presence of high linkage disequilibrium and/or allelic heterogeneity. We demonstrate the utility of LocusFocus, following up on a genome-wide significant locus from a GWAS of meconium ileus (an intestinal obstruction in cystic fibrosis). Using LocusFocus for colocalization analysis with eQTL data suggests variation in ATP12A gene expression in the pancreas rather than intestine is responsible for the GWAS locus. LocusFocus has no operating system dependencies and may be installed in a local web server. LocusFocus is available under the MIT license, with full documentation and source code accessible on GitHub at https://github.com/naim-panjwani/LocusFocus.

Analyse of Measurement Based Admission Control Methods in IMS Networks and Simulation Principle

This paper deals with the quality of service in IP Multimedia Subsystem networks. The evaluation of Quality o Service (QoS) is done through admission control methods. We analyse various methods, which are based on the traffic measurement. The approach that can be applied in finding the suitable admission control method while considering selected QoS parameters is described. Different important QoS parameters can be defined, however we decided to focus on the loss parameter. In our simulations we have used Simple Sum method. Based on the simulation results, we have used new algorithm. The main difference is that it uses the mechanism of time window for achieving more accurate traffic estimate. Algorithm Measured Sum with implementation of time window T has better ability to predict the traffic fluctuation. Compared to the Simple Sum algorithm it achieves lower link utilisation, but also lower level of loss ratio.

Household food security monitoring and evaluation using a resilience indicator: an application of categorical principal component analysis and simple sum of assets in five African countries

ABSTRACTRecent global and African food crises have raised the importance of resilience as a determinant of the ability of households to cope with shocks and stresses that affect food security. This article sets out to develop a measure for resilience to provide a concise tool for measuring and monitoring food security in comparative ways across countries. It presents the results of the development of a resilience score tested using Demographic and Health Survey (DHS) household data for five African countries from two different time periods per country. Cluster analysis was used to classify households into socio-economic groups. The first index used Categorical Principal Component Analysis (CATPCA) and the second a simple sum of assets. Both indices were able to detect changes in household socio-economic status over the data periods in all five countries. However, the results for the two indices were not always consistent. The simple sum method results matched the published national Millennium Development Goal data more closely than the Categorical Principal Component Analysis method. The simple sum of assets has potential as an impact indictor for development programmes aimed at improving household food security and as a national to Millennium Development Goal indicator. It provides a simple tool for tracking resilience from data that is routinely collected through multiple in-country surveys and available from national statistics.

면 객체 매칭을 위한 판별모델의 성능 평가

In this paper, we proposed a good classifier to match different spatial data sets by applying evaluation of classifiers performance in data mining and biometrics. For this, we calculated distances between a pair of candidate features for matching criteria, and normalized the distances by Min-Max method and Tanh (TH) method. We defined classifiers that shape similarity is derived from fusion of these similarities by CRiteria Importance Through Intercriteria correlation (CRITIC) method, Matcher Weighting method and Simple Sum (SS) method. As results of evaluation of classifiers performance by Precision-Recall (PR) curve and area under the PR curve (AUC-PR), we confirmed that value of AUC-PR in a classifier of TH normalization and SS method is 0.893 and the value is the highest. Therefore, to match different spatial data sets, we thought that it is appropriate to a classifier that distances of matching criteria are normalized by TH method and shape similarity is calculated by SS method.

Reconsideration of the present value method

In investment decision-making, the net present value method is widely used as one of the best decision rules (techniques or criteria). At the same time, it is also used to evaluate decision alternatives for a long range period of time, in economics or even in control theory. Its theoretical validation as the best method for investment decision-making has been based on a basis such that the best technique (investment decision rule) will maximize shareholders' wealth which is measured by the present value of cash flows discounted at the opportunity cost of capital. Such a theoretical requirement as maximizing shareholders' wealth is very important for investment decision-makings. This requirement implies that an ordering relation of projects determined by the best investment rule must be order-isomorphic to that determined by the measure of shareholders' wealth. This order-isomorphism can be represented by necessary and sufficient conditions (or separate criteria). However, they are not suitable for comparing investment decision rules, because they are designed for selecting the best investment decision rule. At the same time, the other dominance of the net present value method over other investment rules is also found in its decision-theoretical aspects. Formulating the net present value method, internal rate of return method and simple sum method in an axiomatic fashion, the net present value method is compared with the other rules, and is shown to have enough clarity and simplicity in theory and practice.

The combined effects of two chlorine substituents and the non‐additivities of chemical shifts in aliphatic dichloro esters

AbstractCarbon‐13 NMR spectra were measured for 25 methyl esters of aliphatic dichlorocarboxylic acids for substituted propanoic to hexanoic acids. Observed 13C shifts are compared with calculated shift values obtained from the shifts of the corresponding monochloro esters by applying a simple sum method. The greatest failures from additivity are observed for αβ and αα substituted carbons. The combined effects of two chlorine substituents were determined, and compared with those obtained from chlorine substituent effects in monochloro esters by assuming additivity. The trends displayed by the combined effects, and also by the non‐additivity effects, are discussed.