Tukkilajittelun röntgenmittauksen hyödyntäminen, tapaus Korkeakosken saha

Diplomityön tavoitteena oli selvittää työn toimeksiantajan UPM, Korkeakosken sahan röntgenmittauslaitteen oksaindeksilajitteluparametrille lukuarvo, jolla päästään A-tukkien osalta tavoiteltuun sydänsahatavaralaatujakaumaan eli saadaan siirrettyä VI- sydänsahatavaralaatu B-tukkien joukkoon. Lisäksi työssä tutkittiin sahan tukkilajittelun röntgenmittauslaitteen mittauksen toimivuutta ja sen tehokkaampaa hyödyntämistä. Korkeakosken sahan käyttämä röntgenmittauslaite on Bintec Oy:n kehittämä ja on tyypiltään Wood-X-4D. Laitteen mittaus perustuu tukin kuvaamiseen viipaleinaeli tomografiamittaukseen. Laite mittaa tukista useita ominaisuuksia ja antaa niiden perusteella lajitteluparametreille lukuarvoja. Lajitteluparametriarvojen muuttaminen vaikuttaa syntyvään sydänsahatavaralaatujakaumaan. Työ suoritettiin röntgenmittauslaitteella tekemällä tukeille toistomittauksia ja lajittelukokeita. Kokeissa käytettävät tukit olivat halkaisijaltaan 230 mm - tukkiluokasta. Tukkeja lajiteltiin eri tukkilaatulajitteluasetuksilla, jolloin seurattiin niistä sahattavia sahatavaralaatuja. Sahatavaralaatujen määrityksessä käytettiin sahaosastolla olevaa Finscan Oy:n kehittämää BoardMaster-NT-lajittelumittalaitetta. Tutkimus osoitti, että oksaindeksin pudottamisella, ei päästy työnantajan asettamaan sydänsahatavaran laatulajittelutavoitteeseen sallituissa oksaindeksirajoissa. Tavoitteen saavuttaminen olisi edellyttänyt oksaindeksin arvon pudottamista selkeästi alle asetetun 28 rajan. Tutkimustulokset osoittivat, että röntgenmittalaitteen lajitteluparametrien toiminnan varmuus vaihteli merkittävästi riippuen käytettävästä parametrista ja että laitteen mittaustarkkuus kärsi laitteen yleiseksi viaksi todetun detektorivian myötä. Täten tarkka laatulajittelu edellyttää röntgenmittalaitteen kaikkia neljää toimivaa detektoria. Tämä pystytään varmistamaanvaradetektorilla.

On-line –jatkojalostuksen integrointi mäntysahan tuotantoprosessiin

Diplomityön tavoitteena oli selvittää erilaisia jatkojalostusmahdollisuuksia, joilla voidaan nostaa suuren mäntysahan tuotteiston arvoa. Lisäksi tuli tarkastella jalostuksen integrointia sahan tuotantoprosessiin. Työn taustalla on toisaalta puutuotemarkkinoiden muuttuminen ja toisaalta raaka-aineen laadullinen huononeminen. Molemmat seikat vaikuttavat negatiivisesti perinteisen mäntysahan kannattavuuteen .Jatkojalostuksen integroinnilla sahatavaraprosessiin saavutetaan säästöjä tuotantokustannuksissa, kun tarkastellaan koko prosessia tukista jatkojalosteeksi. Myös raaka-aineen tuottavuutta voidaan nostaa integraation avulla. Jatkojalostus voidaan integroida sahatavaraprosessiin raaka-aineen valikoinnilla sahatavaraprosessin eri osissa, on-line –jalostuksella sekä taloudellisesti. Sahatavaraprosessissa tapahtuva raaka-aineen valikointi voidaan suorittaa tukeista ja sahatavarasta. Valikointikriteerinä voi olla puun ominaisuudet, sahatavaran mitat ja laatu. Valikointiin voidaan nykyteknologiasta hyödyntää röntgentekniikkaa sekä konenäköä. On-line –jalostus tarkoittaa kiinteästi sahatavaraprosessiin liittyvää jalostusta, jolloin ns. turhia prosessivaiheita jää pois ja syntyy säästöjä. On-line –jalostuksen edellytys on raaka-aineen jonkin asteinen valikointi, esim. pituus. Taloudellisesti integroitu jalostus tarkoittaa, että jalostuslaitoksella pyritään nollatulokseen ja jalostuksen lisäarvo palautetaan sahan toimittamaan raaka-aineen hintaan. Tällainen toiminta yhtiön sisällä poistaa turhaa keskustelua raaka-aineen siirtohinnoista ja siten vapauttaa osaltaan resursseja tuottavampaan toimintaan. Erilaisten jatkojalostusmuotojen ja puun ominaisuuksien hyödyntämisen seulonnan perusteella löytyi yksi jalostusmuoto, jolla voidaan kohottaa mäntysahan tuotteiston arvoa. Työn tuloksena syntyi investointiehdotus aihiotankotuotannosta ikkunateollisuuden tarpeisiin. Raaka-aineen hyödynnettäviä ominaisuuksia ovat männyn sydänpuun luonnollinen kestävyys sekä keskimääräinen oksaväli. Valikointi tehdään välitukeista, joiden sahaamisen kannattavuus on männyn rungon osista heikoin. Aihiotankoprosessissa hyödynnetään konenäköä ja sormijatkostekniikkaa. Jatkojalostuksen integrointi sahatavaraprosessiin toteutetaan rakentamalla on-line –jalostuslaitos sekä soveltamalla röntgentekniikkaa raaka-aineen valinnassa.

A Log-linear model of grain size influence on the geochemistry of sediments

Sediment composition is mainly controlled by the nature of the source rock(s), and chemical (weathering) and physical processes (mechanical crushing, abrasion, hydrodynamic sorting) during alteration and transport. Although the factors controlling these processes are conceptually well understood, detailed quantification of compositional changes induced by a single process are rare, as are examples where the effects of several processes can be distinguished. The present study was designed to characterize the role of mechanical crushing and sorting in the absence of chemical weathering. Twenty sediment samples were taken from Alpine glaciers that erode almost pure granitoid lithologies. For each sample, 11 grain-size fractions from granules to clay (ø grades &-1 to &9) were separated, and each fraction was analysed for its chemical composition.The presence of clear steps in the box-plots of all parts (in adequate ilr and clr scales) against ø is assumed to be explained by typical crystal size ranges for the relevant mineral phases. These scatter plots and the biplot suggest a splitting of the full grain size range into three groups: coarser than ø=4 (comparatively rich in SiO2, Na2O, K2O, Al2O3, and dominated by “felsic” minerals like quartz and feldspar), finer than ø=8 (comparatively rich in TiO2, MnO, MgO, Fe2O3, mostly related to “mafic” sheet silicates like biotite and chlorite), and intermediate grains sizes (4≤ø &8; comparatively rich in P2O5 and CaO, related to apatite, some feldspar).To further test the absence of chemical weathering, the observed compositions were regressed against three explanatory variables: a trend on grain size in ø scale, a step function for ø≥4, and another for ø≥8. The original hypothesis was that the trend could be identified with weathering effects, whereas each step function would highlight those minerals with biggest characteristic size at its lower end. Results suggest that this assumption is reasonable for the step function, but that besides weathering some other factors (different mechanical behavior of minerals) have also an important contribution to the trend.Key words: sediment, geochemistry, grain size, regression, step function

A Log-linear model of grain size influence on the geochemistry of sediments

Sediment composition is mainly controlled by the nature of the source rock(s), and chemical (weathering) and physical processes (mechanical crushing, abrasion, hydrodynamic sorting) during alteration and transport. Although the factors controlling these processes are conceptually well understood, detailed quantification of compositional changes induced by a single process are rare, as are examples where the effects of several processes can be distinguished. The present study was designed to characterize the role of mechanical crushing and sorting in the absence of chemical weathering. Twenty sediment samples were taken from Alpine glaciers that erode almost pure granitoid lithologies. For each sample, 11 grain-size fractions from granules to clay (ø grades <-1 to >9) were separated, and each fraction was analysed for its chemical composition. The presence of clear steps in the box-plots of all parts (in adequate ilr and clr scales) against ø is assumed to be explained by typical crystal size ranges for the relevant mineral phases. These scatter plots and the biplot suggest a splitting of the full grain size range into three groups: coarser than ø=4 (comparatively rich in SiO2, Na2O, K2O, Al2O3, and dominated by “felsic” minerals like quartz and feldspar), finer than ø=8 (comparatively rich in TiO2, MnO, MgO, Fe2O3, mostly related to “mafic” sheet silicates like biotite and chlorite), and intermediate grains sizes (4≤ø <8; comparatively rich in P2O5 and CaO, related to apatite, some feldspar). To further test the absence of chemical weathering, the observed compositions were regressed against three explanatory variables: a trend on grain size in ø scale, a step function for ø≥4, and another for ø≥8. The original hypothesis was that the trend could be identified with weathering effects, whereas each step function would highlight those minerals with biggest characteristic size at its lower end. Results suggest that this assumption is reasonable for the step function, but that besides weathering some other factors (different mechanical behavior of minerals) have also an important contribution to the trend. Key words: sediment, geochemistry, grain size, regression, step function

Residuals for log-Burr XII regression models in survival analysis

In this paper, we compare three residuals to assess departures from the error assumptions as well as to detect outlying observations in log-Burr XII regression models with censored observations. These residuals can also be used for the log-logistic regression model, which is a special case of the log-Burr XII regression model. For different parameter settings, sample sizes and censoring percentages, various simulation studies are performed and the empirical distribution of each residual is displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended to the modified martingale-type residual in log-Burr XII regression models with censored data.

A log-extended Weibull regression model

A bathtub-shaped failure rate function is very useful in survival analysis and reliability studies. The well-known lifetime distributions do not have this property. For the first time, we propose a location-scale regression model based on the logarithm of an extended Weibull distribution which has the ability to deal with bathtub-shaped failure rate functions. We use the method of maximum likelihood to estimate the model parameters and some inferential procedures are presented. We reanalyze a real data set under the new model and the log-modified Weibull regression model. We perform a model check based on martingale-type residuals and generated envelopes and the statistics AIC and BIC to select appropriate models. (C) 2009 Elsevier B.V. All rights reserved.

The generalized log-gamma mixture model with covariates: local influence and residual analysis

In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored survival times. In this paper the generalized log-gamma model is modified for the possibility that long-term survivors may be present in the data. The model attempts to separately estimate the effects of covariates on the surviving fraction, that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence and total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under the log-gamma generalized mixture model. A residual analysis is performed in order to select an appropriate model.

Log-modified Weibull regression models with censored data: Sensitivity and residual analysis

This paper proposes a regression model considering the modified Weibull distribution. This distribution can be used to model bathtub-shaped failure rate functions. Assuming censored data, we consider maximum likelihood and Jackknife estimators for the parameters of the model. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and we also present some ways to perform global influence. Besides, for different parameter settings, sample sizes and censoring percentages, various simulations are performed and the empirical distribution of the modified deviance residual is displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended for a martingale-type residual in log-modified Weibull regression models with censored data. Finally, we analyze a real data set under log-modified Weibull regression models. A diagnostic analysis and a model checking based on the modified deviance residual are performed to select appropriate models. (c) 2008 Elsevier B.V. All rights reserved.

A Log-Linear Regression Model for the Beta-Weibull Distribution

We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et al., 2005; Lee et al., 2007). We derive expansions for the moment generating function which do not depend on complicated functions. The new regression model represents a parametric family of models that includes as sub-models several widely known regression models that can be applied to censored survival data. We employ a frequentist analysis, a jackknife estimator, and a parametric bootstrap for the parameters of the proposed model. We derive the appropriate matrices for assessing local influences on the parameter estimates under different perturbation schemes and present some ways to assess global influences. Further, for different parameter settings, sample sizes, and censoring percentages, several simulations are performed. In addition, the empirical distribution of some modified residuals are displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be extended to a modified deviance residual in the proposed regression model applied to censored data. We define martingale and deviance residuals to evaluate the model assumptions. The extended regression model is very useful for the analysis of real data and could give more realistic fits than other special regression models.

Sudden onset of log-periodicity and superdiffusion in non-Markovian random walks with amnestically induced persistence: exact results

Random walks can undergo transitions from normal diffusion to anomalous diffusion as some relevant parameter varies, for instance the L,vy index in L,vy flights. Here we derive the Fokker-Planck equation for a two-parameter family of non-Markovian random walks with amnestically induced persistence. We investigate two distinct transitions: one order parameter quantifies log-periodicity and discrete scale invariance in the first moment of the propagator, whereas the second order parameter, known as the Hurst exponent, describes the growth of the second moment. We report numerical and analytical results for six critical exponents, which together completely characterize the properties of the transitions. We find that the critical exponents related to the diffusion-superdiffusion transition are identical in the positive feedback and negative feedback branches of the critical line, even though the former leads to classical superdiffusion whereas the latter gives rise to log-periodic superdiffusion.

The Modified Card Sorting Test: Test-retest stability and relationships with demographic variables in a healthy older adult sample

Objectives. To investigate the test-retest stability of a standardized version of Nelson's (1976) Modified Card Sorting Test (MCST) and its relationships with demographic variables in a sample of healthy older adults. Design. A standard card order and administration were devised for the MCST and administered to participants at an initial assessment, and again at a second session conducted a minimum of six months later in order to examine its test-retest stability. Participants were also administered the WAIS-R at initial assessment in order to provide a measure of psychometric intelligence. Methods. Thirty-six (24 female, 12 male) healthy older adults aged 52 to 77 years with mean education 12.42 years (SD = 3.53) completed the MCST on two occasions approximately 7.5 months (SD = 1.61) apart. Stability coefficients and test-retest differences were calculated for the range of scores. The effect of gender on MCST performance was examined. Correlations between MCST scores and age, education and WAIS-R IQs were also determined. Results. Stability coefficients ranged from .26 for the percent perseverative errors measure to .49 for the failure to maintain set measure. Several measures were significantly correlated with age, education and WAIS-R IQs, although no effect of gender on MCST performance was found. Conclusions. None of the stability coefficients reached the level required for clinical decision making. The results indicate that participants' age, education, and intelligence need to be considered when interpreting MCST performance. Normative studies of MCST performance as well as further studies with patients with executive dysfunction are needed.

Executive dysfunction in children and adolescents with temporal lobe epilepsy: Is the Wisconsin Card Sorting Test enough?

The Wisconsin Card Sorting Test (WCST) is the gold standard in the evaluation of executive dysfunction (ED) in patients with temporal lobe epilepsy (TLE). We evaluated 35 children with TLE and 25 healthy controls with the WCST and with a more comprehensive battery. Among the children with TLE, 77.14% showed impairment on the WCST. On other tests (Wechsler Intelligence Scale for Children-Digit Forward, Matching Familiar Figures Test, Trail Making Test, Word Fluency, Finger Windows, and Number-Letter Memory), impairment was demonstrated in 94.29%. The authors concluded that the WCST is a good paradigm to measure executive impairment in children with TLE: however, it may be not enough. Evaluation performed only with the WCST not only underestimated the number of patients with ED, but also missed relevant information regarding the type of ED. (C) 2009 Elsevier Inc. All rights reserved.

The Phox Homology (PX) domain-dependent, 3-phosphoinositide-mediated association of sorting nexin-1 with an early sorting endosomal compartment is required for its ability to regulate epidermal growth factor receptor degradation

Recent studies have shown that phox homology (PX) domains act as phosphoinositide-binding motifs. The majority of PX domains studied show binding to phosphatidylinositol 3-monophosphate (Ptdlns(3)P), an association that allows the host protein to localize to membranes of the endocytic pathway. One issue, however, is whether PX domains may have alternative phosphoinositide binding specificities that could target their host protein to distinct subcellular compartments or allow their allosteric regulation by phosphoinositides other than PtdIns(3)P. It has been reported that the PX domain of sorting nexin 1 (SNX1) specifically binds phosphatidylinositol 3,4,5-trisphosphate (PtdIns(3,4,5)P-3) (Zhong, Q., Lazar, C. S., Tronchere, H., Sato, T., Meerloo, T., Yeo, M., Songyang, Z., Emr, S. D., and Gill, G. N. (2002) Proc. Natl. Acad. Sci. U. S. A. 99,6767-6772). In the present study, we have shown that whereas SNX1 binds PtdIns(3,4,5)P-3 in protein:lipid overlay assays, in liposomes-based assays, binding is observed to PtdIns(3)P and phosphatidylinositol 3,5-bisphosphate (PtdIns(3,5)P-2) but not to PtdIns(3,4,5)P-3. To address the significance of PtdIns(3,4,5)P-3 binding, we examined the subcellular localization of SNX1 under conditions in which plasma membrane PtdIns(3,4,5)P-3 levels were significantly elevated. Under these conditions, we failed to observe association of SNX1 with this membrane. However, consistent with the binding to PtdIns(3)P and PtdIns(3,5)P-2 being of more physiological significance was the observation that the association of SNX1 with an early endosomal compartment was dependent on a 3-phosphoinositide-binding PX domain and the presence of PtdIns(3)P on this compartment. Finally, we somal association of SNX1 is important for its ability to regulate the targeting of internalized epidermal growth factor receptor for lysosomal degradation.