984 resultados para Quality measurements
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This chapter provides a theoretical background about image quality in diagnostic radiology. Digital image representation and also image quality evaluation methods are here discussed. An overview of methods for quality evaluation of diagnostic imaging procedures is provided. Digital image representation and primary physical image quality parameters are also discussed, including objective image quality measurements and observer performance methods.
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Throughout the world, epidemiological studies were established to examine the relationship between air pollution and mortality rates and adverse respiratory health effects. However, despite the years of discussion the correlation between adverse health effects and atmospheric pollution remains controversial, partly because these studies are frequently restricted to small and well-monitored areas. Monitoring air pollution is complex due to the large spatial and temporal variations of pollution phenomena, the high costs of recording instruments, and the low sampling density of a purely instrumental approach. Therefore, together with the traditional instrumental monitoring, bioindication techniques allow for the mapping of pollution effects over wide areas with a high sampling density. In this study, instrumental and biomonitoring techniques were integrated to support an epidemiological study that will be developed in an industrial area located in Gijon in the coastal of central Asturias, Spain. Three main objectives were proposed to (i) analyze temporal patterns of PM10 concentrations in order to apportion emissions sources, (ii) investigate spatial patterns of lichen conductivity to identify the impact of the studied industrial area in air quality, and (iii) establish relationships amongst lichen conductivity with some site-specific characteristics. Samples of the epiphytic lichen Parmelia sulcata were transplanted in a grid of 18 by 20 km with an industrial area in the center. Lichens were exposed for a 5-mo period starting in April 2010. After exposure, lichen samples were soaked in 18-MΩ water aimed at determination of water electrical conductivity and, consequently, lichen vitality and cell damage. A marked decreasing gradient of lichens conductivity relative to distance from the emitting sources was observed. Transplants from a sampling site proximal to the industrial area reached values 10-fold higher than levels far from it. This finding showed that lichens reacted physiologically in the polluted industrial area as evidenced by increased conductivity correlated to contamination level. The integration of temporal PM10 measurements and analysis of wind direction corroborated the importance of this industrialized region for air quality measurements and identified the relevance of traffic for the urban area.
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Link quality estimation is a fundamental building block for the design of several different mechanisms and protocols in wireless sensor networks (WSN). A thorough experimental evaluation of link quality estimators (LQEs) is thus mandatory. Several WSN experimental testbeds have been designed ([1–4]) but only [3] and [2] targeted link quality measurements. However, these were exploited for analyzing low-power links characteristics rather than the performance of LQEs. Despite its importance, the experimental performance evaluation of LQEs remains an open problem, mainly due to the difficulty to provide a quantitative evaluation of their accuracy. This motivated us to build a benchmarking testbed for LQE - RadiaLE, which we present here as a demo. It includes (i.) hardware components that represent the WSN under test and (ii.) a software tool for the set up and control of the experiments and also for analyzing the collected data, allowing for LQEs evaluation.
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Asphalt pavements suffer various failures due to insufficient quality within their design lives. The American Association of State Highway and Transportation Officials (AASHTO) Mechanistic-Empirical Pavement Design Guide (MEPDG) has been proposed to improve pavement quality through quantitative performance prediction. Evaluation of the actual performance (quality) of pavements requires in situ nondestructive testing (NDT) techniques that can accurately measure the most critical, objective, and sensitive properties of pavement systems. The purpose of this study is to assess existing as well as promising new NDT technologies for quality control/quality assurance (QC/QA) of asphalt mixtures. Specifically, this study examined field measurements of density via the PaveTracker electromagnetic gage, shear-wave velocity via surface-wave testing methods, and dynamic stiffness via the Humboldt GeoGauge for five representative paving projects covering a range of mixes and traffic loads. The in situ tests were compared against laboratory measurements of core density and dynamic modulus. The in situ PaveTracker density had a low correlation with laboratory density and was not sensitive to variations in temperature or asphalt mix type. The in situ shear-wave velocity measured by surface-wave methods was most sensitive to variations in temperature and asphalt mix type. The in situ density and in situ shear-wave velocity were combined to calculate an in situ dynamic modulus, which is a performance-based quality measurement. The in situ GeoGauge stiffness measured on hot asphalt mixtures several hours after paving had a high correlation with the in situ dynamic modulus and the laboratory density, whereas the stiffness measurement of asphalt mixtures cooled with dry ice or at ambient temperature one or more days after paving had a very low correlation with the other measurements. To transform the in situ moduli from surface-wave testing into quantitative quality measurements, a QC/QA procedure was developed to first correct the in situ moduli measured at different field temperatures to the moduli at a common reference temperature based on master curves from laboratory dynamic modulus tests. The corrected in situ moduli can then be compared against the design moduli for an assessment of the actual pavement performance. A preliminary study of microelectromechanical systems- (MEMS)-based sensors for QC/QA and health monitoring of asphalt pavements was also performed.
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Controlling the quality variables (such as basis weight, moisture etc.) is a vital part of making top quality paper or board. In this thesis, an advanced data assimilation tool is applied to the quality control system (QCS) of a paper or board machine. The functionality of the QCS is based on quality observations that are measured with a traversing scanner making a zigzag path. The basic idea is the following: The measured quality variable has to be separated into its machine direction (MD) and cross direction (CD) variations due to the fact that the QCS works separately in MD and CD. Traditionally this is done simply by assuming one scan of the zigzag path to be the CD profile and its mean value to be one point of the MD trend. In this thesis, a more advanced method is introduced. The fundamental idea is to use the signals’ frequency components to represent the variation in both CD and MD. To be able to get to the frequency domain, the Fourier transform is utilized. The frequency domain, that is, the Fourier components are then used as a state vector in a Kalman filter. The Kalman filter is a widely used data assimilation tool to combine noisy observations with a model. The observations here refer to the quality measurements and the model to the Fourier frequency components. By implementing the two dimensional Fourier transform into the Kalman filter, we get an advanced tool for the separation of CD and MD components in total variation or, to be more general, for data assimilation. A piece of a paper roll is analyzed and this tool is applied to model the dataset. As a result, it is clear that the Kalman filter algorithm is able to reconstruct the main features of the dataset from a zigzag path. Although the results are made with a very short sample of paper roll, it seems that this method has great potential to be used later on as a part of the quality control system.
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The main aim of this research was to develop cost of poor quality calculation model which will better reflect business impacts of lost productivity caused by IT incidents for the case company. This objective was pursued by reviewing literature and conducting a study in a Finnish multinational manufacturing company. Broad analysis of the scientific literature allowed to identify main theories and models of Cost of Poor Quality and provided better base for development of measurements of business impacts of lost productivity. Empirical data was gathered with semi-structured interviews and internet based survey. In total, twelve interviews with experts and 39 survey results from business stakeholders were gathered. Main results of empirical study helped to develop the measurement model of cost of poor quality and it was tied to incident priority matrix. Nevertheless, the model was created based on available data. Main conclusions of the thesis were that cost of poor quality measurements could be even further improved if additional data points could be used. New model takes into consideration different cost regions and utilizes on this notion.
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Rabbits are very sensitive to heat stress because they have difficulty eliminating excess body heat. The objective of the current study was to evaluate the effects of heat stress on slaughter weight, dressing percentage and carcass and meat quality traits of rabbits from two genetic groups. Ninety-six weaned rabbits were used: half were from the Botucatu genetic group and half were crossbreds between New Zealand White sires and Botucatu does. They were assigned to a completely randomized design in a 2 × 3 factorial arrangement (two genetic groups and three ambient temperatures: 18°C, 25°C and 30°C) and kept under controlled conditions in three environmental chambers from 5 to 10 weeks of age. Slaughter took place at 10 weeks, on 2 consecutive days. Meat quality measurements were made in the longissimus muscle. Actual average ambient temperature and relative humidity in the three chambers were 18.4°C and 63.9%, 24.4°C and 80.2% and 29.6°C and 75.9%, respectively. Purebred rabbits were heavier at slaughter and had heavier commercial and reference carcasses than crossbreds at 30°C; however, no differences between genetic groups for these traits were found at lower temperatures. No genetic group × ambient temperature interaction was detected for any other carcass or meat quality traits. The percentages of distal parts of legs, skin and carcass forepart were higher in crossbred rabbits, indicating a lower degree of maturity at slaughter in this group. The percentage of thoracic viscera was higher in the purebreds. Lightness of the longissimus muscle was higher in the purebreds, whereas redness was higher in the crossbreds. Slaughter, commercial and reference carcass weights and the percentages of thoracic viscera, liver and kidneys were negatively related with ambient temperature. Commercial and reference carcass yields, and the percentage of distal parts of legs, on the other hand, had a positive linear relationship with ambient temperature. Meat redness and yellowness diminished as ambient temperature increased, whereas cooking loss was linearly elevated with ambient temperature. Meat color traits revealed paler meat in the purebreds, but no differences in instrumental texture properties and water-holding capacity between genetic groups. Purebred rabbits were less susceptible to heat stress than the crossbreds. Heat stress resulted in lower slaughter and carcass weights and proportional reductions of organ weights, which contributed to a higher carcass yield. Moreover, it exerted a small, but negative, effect on meat quality traits. © 2012 The Animal Consortium.
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In laboratory tests, just following the manufacturer’s instructions of materials or equipments may not be enough to obtain reliable data. Thus, intra and inter-examiners studies may be required. The aim of this study was to illustrate the application of the Intraclass Correlation Coefficient (r) in a study related to the color changing and hardness of composite resin conducted by two examiners. The color and hardness of 10 specimens of composite resin were evaluated by a colorimetric spectrophotometer and hardness tester, respectively, at two different times. Two trained examiners performed two measurements with an interval of one week. Specimens were stored in artificial saliva at 37±1ºC for 7 days. The Intraclass Correlation was used for analysis of intra and inter-examiner reproducibility. The intra-examiner reproducibility was 0.79, 0.44 and 0.76 for L, a and b color coordinates for the examiner 1 and 0.84, 0.23, 0.21 for examiner 2. For hardness, r-values were 0.00 and 0.23 for the examiner 1 and 2, respectively, showing unsatisfactory agreement on color and hardness evaluation for both examiners. It was noted that only the observation of protocol for use of equipment and examiners training were not sufficient to collect reliable information. Thus, adjustments in the experimental protocol were made and devices were produced to standardize the measurements. The reproducibility study was performed again. For examiner 1, values as 0.90, 0.59 and 0.79 were verified for L, a and b coordinates and, for examiner 2 were obtained values of 0.90, 0.75, 0.95. In relation to hardness, r-values of 0.75 and 0.71 were obtained for examiners 1 and 2, respectively. The inter-examiner reproducibility was 0.86, 0.87, 0.91 for L, a and b coordinates and 0.79 for hardness. It was concluded that intra and inter-examiner calibration is essential for obtaining quality measurements in laboratory tests.
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3D geographic information system (GIS) is data and computation intensive in nature. Internet users are usually equipped with low-end personal computers and network connections of limited bandwidth. Data reduction and performance optimization techniques are of critical importance in quality of service (QoS) management for online 3D GIS. In this research, QoS management issues regarding distributed 3D GIS presentation were studied to develop 3D TerraFly, an interactive 3D GIS that supports high quality online terrain visualization and navigation. ^ To tackle the QoS management challenges, multi-resolution rendering model, adaptive level of detail (LOD) control and mesh simplification algorithms were proposed to effectively reduce the terrain model complexity. The rendering model is adaptively decomposed into sub-regions of up-to-three detail levels according to viewing distance and other dynamic quality measurements. The mesh simplification algorithm was designed as a hybrid algorithm that combines edge straightening and quad-tree compression to reduce the mesh complexity by removing geometrically redundant vertices. The main advantage of this mesh simplification algorithm is that grid mesh can be directly processed in parallel without triangulation overhead. Algorithms facilitating remote accessing and distributed processing of volumetric GIS data, such as data replication, directory service, request scheduling, predictive data retrieving and caching were also proposed. ^ A prototype of the proposed 3D TerraFly implemented in this research demonstrates the effectiveness of our proposed QoS management framework in handling interactive online 3D GIS. The system implementation details and future directions of this research are also addressed in this thesis. ^
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This study evaluates applicability of E-service quality measurements in the context of online hotel bookings. Data was collected from an online survey of undergraduate college students at two universities in the United States. The Transaction Process-based Framework (eTransQual) conceptualized by Bauer et al. (2006) was adapted, and the dimensionality of e-service quality was identified. The study identified process/reliability as the most important factor influencing overall quality of booking websites.
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OBJECTIVES: This action-research study conducted in a Swiss male post-trial detention centre (120 detainees and 120 staff) explored the attitudes of detainees and staff towards tobacco smoking. Tackling public health matters through research involving stakeholders in prisons implies benefits and risks that need exploration. STUDY DESIGN: The observational study involved multiple strands (quantitative and qualitative components, and air quality measurements). This article presents qualitative data on participants' attitudes and expectations about research in a prison setting. METHODS: Semi-structured interviews were used to explore the attitudes of detainees and staff towards smoking before and after a smoke-free regulation change in the prison in 2009. Specific coding and thematic content analysis for research were performed with the support of ATLAS.ti. RESULTS: In total, 77 interviews were conducted (38 before the regulation change and 39 after the regulation change) with 31 detainees (mean age 35 years, range 22-60 years) and 27 prison staff (mean age 46 years, range 29-65 years). Both detainees and staff expressed satisfaction regarding their involvement in the study, and wished to be informed about the results. They expected concrete changes in smoke-free regulation, and that the research would help to find ways to motivate detainees to quit smoking. CONCLUSION: Active involvement of stakeholders promotes public health. Interviewing detainees and prison staff as part of an action-research study aimed at tackling a public health matter is a way of raising awareness and facilitating change in prisons. Research needs to be conducted independently from the prison administrators in order to increase trust and to avoid misunderstandings.
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Myllykoski Paper Oy:n hiokkeen laadussa ja prosessivesien ominaisuuksissa tapahtuu vaihtelua ajan suhteen. Tämä käy ilmi useiden vuosien aikana kerätyistä laatuseurantatiedoista. Diplomityön tavoitteena oli selvittää hiokkeen ja kierto-vesien laatuun vaikuttavat tekijät ja kehittää laadunvaihtelua hillitseviä toimenpi-teitä. Työn kirjallisuusosassa pyrittiin löytämään tekijöitä, jotka voivat aiheuttaa valmiin hiokkeen laatuun vaihtelua. Lähtökohtaisesti laatuvaihteluita aiheuttavat tekijät jaettiin raaka-aine- tai prosessivaihteluksi. Työn kokeellisessa osassa selvitettiin eri hioke- ja prosessivesiominaisuuksien kehittymistä tarkastelemalla eri mittaussuureista kerättyjä aineistoja erilaisin aika-välein. Aluksi tarkasteltiin hiokkeen ja vesien ominaisuuksia viiden vuoden ajan-jaksolla, josta siirryttiin tarkastelemaan lyhyempiä aikavälejä. Käytetty mittausaineisto oli peräisin DW-tietovarastosta ja PHD-reaaliaikatietokannasta. Työn tuloksista kävi muun muassa ilmi, että painehiokkeen lujuusominaisuudet ovat hienoisesti alentuneet viimeisen viiden vuoden aikana. Muutos selittyy hiokkeen pitkäkuituosuuden ja kuitupuun keskimääräisen läpimitan alenemisella. Lisäksi valkaisemattomien hiokkeiden vaaleudet ovat alentuneet samallakun prosessivedet ovat muuttuneet likaisemmiksi. Kehitykseen on vaikuttanut vesikiertojen kasvanut sulkemisaste ja uusi peroksidivalkaisulaitos. Jatkotoimenpide-ehdotukset painottuvat pääosin vesiajotilanteiden hallintaan. Vesiajoaiheuttaa aina suuria muutoksia niin hiokkeen kuin myös kiertovesien laatuun.
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Tämä diplomityö tehtiin Neste Oil Oyj:n Kehittäminen ja Laboratoriot yksikön HSE-palveluille. Työn tavoitteena oli arvioida Neste Oilin ympäristövaikutusten velvoitetarkkailujen mittaustulosten epävarmuutta. Tarkastelu koski ilmanlaadun SO2-, NO2-, TRS- sekä O3-mittauksia, ympäristömelumittauksia sekä pohjavesinäytteenottoa. Ympäristönsuojelulaki (86/2000) velvoittaa tuotantolaitoksia selvittämään toimintansa ympäristövaikutukset. Myös esimerkiksi akkreditoitaessa menetelmiä mittausepävarmuus on tunnettava. On arvioitu, että tulevaisuudessa direktiivit tulevat tiukentamaan päästöraja-arvoja ja mittausepävarmuuden käsite tulee käyttöön kaikilla ympäristösektoreilla.Tässä työssä ilmanlaadun mittausepävarmuus arvioitiin vertaamalla Neste Oilin mittaustuloksia Ilmatieteenlaitoksen vertailumittausten ja kalibrointien tuloksiin. Ympäristömelun mittausepävarmuus arvioitiin Ympäristöministeriön ympäristömelunmittausohjeen (1/1995)mukai-sesti. Pohjavesinäytteenoton mittausepävarmuus arvioitiin laskemalla haitta-aineiden ajallisen vaihtelun, näytteenottomenetelmien, näytteiden kuljetuksenja säilytyksen aiheuttaman kontaminaation sekä analyysivaiheen epävarmuustekijöiden yhdistetty mittausepävarmuus. Tarkastelussa todettiin, että ilmanlaadunmittaustulokset eivät poikenneet merkittävästi vertai-lumittausten ja kalibrointien tuloksista. Menetelmien laajennetuksi mittausepävarmuudeksi saatiin 6-8 %. Ympäristömelun mittausepävarmuus vastasi ympäristömelunmittausohjeessa esitettyjä arvoja ja vaihtelivat 2-10 dB:n välillä, riippuen mittausetäisyydestä ja mittauskertojen lukumäärästä. Pohjavesinäytteenoton mittausepävarmuudelle ei ole asetettu laatutavoitteita. Tässä tarkastelussa pohjavesinäytteenoton mittausepävarmuudeksi saatiin 33 %.
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Euroopan unionin direktiiveissä ja kansallisessa lainsäädännössä on asetettu tavoitteita, velvoitteita ja raja-arvoja ilmanlaadun mittauksille. Ilmanlaatua on seurattava, ilmanlaatumittaukset on tehtävä laadukkaasti sekä luotettavasti ja mittaustuloksista on tiedotettava väestölle. Mittausten epävarmuus on tunnettava ja sen on oltava alle 15 %, jotta epävarmuudelle asetettu kriteeri täyttyy. Tässä työssä perehdyttiin Euroopan unionin ilmastopolitiikkaan ja kansalliseen ilmanlaatua koskevaan lainsäädäntöön, käytiin läpi menetelmiä ja tapoja, joilla ilmanlaadusta tiedotetaan väestölle sekä selvitettiin ilmanlaadun mittausjärjestelmiä koskevia vaatimuksia. Ennen varsinaista mittausepävarmuuden selvittämistä käytiin läpi tutkimuksen kohteena olevan typen oksidien analysaattorin mittausperiaate ja merkittävimmät komponentit. Mittausepävarmuus määritettiin standardia SFS-EN 14211 noudattamalla. Mittausepävarmuuden selvittämiseksi analysaattorille tehtiin erilaisia sen toimintaa kuvaavia testejä Ilmatieteen laitoksen kalibrointilaboratoriossa. Saatujen tuloksien perusteella voitiin laskea analysaattorin mittausepävarmuus, joka tuntiraja-arvopitoisuudessa oli 15,5 % ja vuosiraja-arvopitoisuudessa 10,5 %. Kaikkia testejä ei voitu tehdä standardissa määrätyllä tavalla, joten tuloksiin pitää suhtautua kriittisesti. Tulosten perusteella mittausepävarmuus tuntiraja-arvopitoisuudessa ei aivan täytä direktiivin kriteeriä, mutta vuosiraja-arvopitoisuudessa kriteeri täyttyy (< 15 %).
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Formaldehyde has been classified as a probable human carcinogen. Indoor air quality measurements carried out worldwide in schools indicate that levels may be of concern. This paper provides an overview of emission sources, properties and methods for quantification of formaldehyde. Quantitative information from studies performed in school environments was compiled and a comprehensive picture of the causal relationships between pollutant exposures and children's health given. Mitigation actions to reduce formaldehyde levels and its adverse impacts in school buildings are recommended.