Nonstationary feature extraction techniques for automatic classification of impact acoustic signals

Condition monitoring of wooden railway sleepers applications are generallycarried out by visual inspection and if necessary some impact acoustic examination iscarried out intuitively by skilled personnel. In this work, a pattern recognition solutionhas been proposed to automate the process for the achievement of robust results. Thestudy presents a comparison of several pattern recognition techniques together withvarious nonstationary feature extraction techniques for classification of impactacoustic emissions. Pattern classifiers such as multilayer perceptron, learning cectorquantization and gaussian mixture models, are combined with nonstationary featureextraction techniques such as Short Time Fourier Transform, Continuous WaveletTransform, Discrete Wavelet Transform and Wigner-Ville Distribution. Due to thepresence of several different feature extraction and classification technqies, datafusion has been investigated. Data fusion in the current case has mainly beeninvestigated on two levels, feature level and classifier level respectively. Fusion at thefeature level demonstrated best results with an overall accuracy of 82% whencompared to the human operator.

Government spending and unemployment : An empirical study on Sweden, 1994-2012

The aim of the study was to see if any relationship between government spending andunemployment could be empirically found. To test if government spending affectsunemployment, a statistical model was applied on data from Sweden. The data was quarterlydata from the year 1994 until 2012, unit-root test were conducted and the variables wheretransformed to its first-difference so ensure stationarity. This transformation changed thevariables to growth rates. This meant that the interpretation deviated a little from the originalgoal. Other studies reviewed indicate that when government spending increases and/or taxesdecreases output increases. Studies show that unemployment decreases when governmentspending/GDP ratio increases. Some studies also indicated that with an already largegovernment sector increasing the spending it could have negative effect on output. The modelwas a VAR-model with unemployment, output, interest rate, taxes and government spending.Also included in the model were a linear and three quarterly dummies. The model used 7lags. The result was not statistically significant for most lags but indicated that as governmentspending growth rate increases holding everything else constant unemployment growth rateincreases. The result for taxes was even less statistically significant and indicates norelationship with unemployment. Post-estimation test indicates that there were problems withnon-normality in the model. So the results should be interpreted with some scepticism.

"Den dag vi slutar bli bättre, slutar vi vara bra" : Ledarskapets inverkan på medarbetares motivation till ständiga förbättringar

Syfte - Syftet med studien är att få en djupare insikt i sambandet mellan ledarskap och de faktorer som bidrar till ökat engagemang hos medarbetarna i arbetet med ständiga förbättringar. Studien riktar sig mot ett mellanstort industriföretag som implementerat lean production. Design/ metod - I vår undersökning valde vi att göra en kvalitativ fallstudie. Data samlades in i ett svenskt industriföretag. Totalt har 7 intervjuer genomförts. Undersökningsresultat - Resultatet vi kom fram till är att medarbetarna är i låg utsträckning delaktiga i förbättringsarbetet. Tidigare forskning visar att medarbetare som är delaktiga i beslut är också mer engagerade i arbetet. Metodkritik – Resultatet speglar enbart subjektiva bedömningar och de studerade variablerna bygger på respondenternas uppfattningar. Framtida forskning bör inkludera mer objektiva mått. Praktiska konsekvenser - Studien ger belägg till att medarbetarnas engagemang och motivation i förbättringsarbetet kan ökas genom att göra dem mer delaktiga. Forskning visar att medarbetare som får information och får delta i beslut känner större delaktighet i arbetet. Kunskapsbidrag - I den befintliga litteraturen hävdas det att ledarskapet är en viktig komponent för att öka medarbetarnas engagemang. Lite har dock skrivits om hur ledarskapet kan motivera medarbetarna till ständiga förbättringar i en organisation som arbetar i lean production. Nyckelord:

An analysis of linkage between foreign direct investment and GDP per Capita in Pakistan : A time series analysis

This study aims to investigate the relation between foreign direct investment (FDI) and per capita gross domestic product (GDP) in Pakistan. The study is based on a basic Cobb-Douglas production function. Population over age 15 to 64 is used as a proxy for labor in the investigation. The other variables used are gross capital formation, technological gap and a dummy variable measuring among other things political stability. We find positive correlation between GDP per capita in Pakistan and two variables, FDI and population over age 15 to 64. The GDP gap (gap between GDP of USA and GDP of Pakistan) is negatively correlated with GDP per capita as expected. Political instability, economic crisis, wars and polarization in the society have no significant impact on GDP per capita in the long run.

A therapy dog's impact on daytime activity and night-time sleep for older persons with Alzheimer's disease : a case study

Background: Animal-Assisted Therapy using dogs have been described as having a calming effect, decrease sundowning and blood-pressure in persons with Alzheimer’s disease. The aim was to investigate how continuous and scheduled visits by a prescribed therapy dog affected daytime and night-time sleep for persons with Alzheimer’s disease. Methods: In this case study, registration of activity and sleep curves was conducted from five persons with moderate to severe Alzheimer’s disease living at a nursing home, over a period of 16 weeks using an Actiwatch. Data was analysed with descriptive statistics. Result: The study shows no clear pattern of effect on individual persons daytime activity and sleep when encounter with a therapy dog, but instead points to a great variety of possible different effects that brings an increased activity at different time points, for example during night-time sleep. Conclusions: Effects from the use of a Animal-Assisted Therapy with a dog in the care of persons with Alzheimer’s disease needs to be further investigated and analysed from a personcentred view including both daytime and nightime activities.