Datakvalitet. Ett måste för en kostnadsmedveten organisation

Uppsatsen visar resultatet av en kartläggning och analys av datakvaliteten i databasen Vägdatabanken på Vägverket. Vi har studerat datakvaliteten som den visar sig hos slutanvändarna, i detta fall de som upphandlar drift och underhåll av statliga vägar. Målet var att se hur väl Vägverkets krav på data stämmer överens med användarnas behov. För att nå målet skapades en modell med sju faser. Centralt var kartläggningen av verksamheten med hjälp av intervjuer, som blev grunden för vidare analyser. En egen modell var nödvändig eftersom arbetssättet, att utgå från användarna, inte är det vedertagna sättet att undersöka datakvalitet.Resultatet visar en rad kostnader som kan härröras till bristande datakvalitet varav många är dolda. Trovärdigheten är viktig i samband med datakvalitet. Användarna litar inte på data vilket skapar direkta kostnader, merarbete med mera. Det beror i sin tur på att det brister i insamlingen av data. Ett problem är att en rad olika arbetssätt och förhållningssätt till data i Vägdatabanken förekommer. Därför rekommenderas att Vägverket beslutar vilket arbetssätt som är ekonomiskt och funktionellt bäst.Syftet var att beskriva begreppet datakvalitet. Resultatet av praktiskt arbete och teoretiska studier ger definitionen "Datakvalitet är datas förmåga att vara förståelig och trovärdig samt tillräckligt väl uppfylla användarens behov".

Entity Framework 4.0, enutvärdering av ett ORMramverk

När man kombinerar ett objektorienterat programmeringsspråk och en relationsdatabas uppstår en del problem för utvecklare eftersom objektorienterade programmeringsspråk och relationsdatabaser har olika fokus, objektorienterade programmeringsspråk fokuserar på att avbilda verkliga objekt och relationsdatabaser fokuserar på data. De problem som uppstår kallas med ett samlingsnamn för object-relational mismatch. Det finns flertalet ramverk för att hantera dessa problem. Ett av dem är Entity Framework.Syftet med detta projekt var att utvärdera hur utvecklare tycker att Entity Framework fungerar för att lösa problematiken runt object-relational mismatch, hur det är för utvecklare att lära sig använda Entity Framework samt hur tillgången på inlärningsmaterial är.Under vår studie har vi lärt oss använda Entity Framework samtidigt som vi gjort en studie av tillgången på inlärningsmaterial. Vi har också byggt om en applikation så att den använder Entity Framework. Vi har jämfört den ombyggda applikationen med den gamla applikationen för att kunna se vilken skillnad som Entity Framework bidrog till.Vi kom fram till att Entity Framework hanterar object-relational mismatch på ett bra sätt som bland annat gör att utvecklingsprocessen kortas ner då inte lika mycket kod behöver skrivas. Utvecklare med tidigare kunskaper i .NET-programmering upplever att det är lätt att lära sig Entity Framework. Att det upplevs lätt att lära sig Entity Framework hänger förmodligen ihop med att tillgången på inlärningsmaterial är god.

Classification of Parkinson’s Disease using MultiPass Lvq,Logistic Model Tree,K-Star for Audio Data set : Classification of Parkinson Disease using Audio Dataset

Parkinson's disease (PD) is a degenerative illness whose cardinal symptoms include rigidity, tremor, and slowness of movement. In addition to its widely recognized effects PD can have a profound effect on speech and voice.The speech symptoms most commonly demonstrated by patients with PD are reduced vocal loudness, monopitch, disruptions of voice quality, and abnormally fast rate of speech. This cluster of speech symptoms is often termed Hypokinetic Dysarthria.The disease can be difficult to diagnose accurately, especially in its early stages, due to this reason, automatic techniques based on Artificial Intelligence should increase the diagnosing accuracy and to help the doctors make better decisions. The aim of the thesis work is to predict the PD based on the audio files collected from various patients.Audio files are preprocessed in order to attain the features.The preprocessed data contains 23 attributes and 195 instances. On an average there are six voice recordings per person, By using data compression technique such as Discrete Cosine Transform (DCT) number of instances can be minimized, after data compression, attribute selection is done using several WEKA build in methods such as ChiSquared, GainRatio, Infogain after identifying the important attributes, we evaluate attributes one by one by using stepwise regression.Based on the selected attributes we process in WEKA by using cost sensitive classifier with various algorithms like MultiPass LVQ, Logistic Model Tree(LMT), K-Star.The classified results shows on an average 80%.By using this features 95% approximate classification of PD is acheived.This shows that using the audio dataset, PD could be predicted with a higher level of accuracy.

Upplevda problem med projektstyrningsmetoden Scrum i systemutvecklingsprojekt : En studie av Scrums-relaterade problem hos IT- företag i Borlängeregion

Många projekt misslyckas och en av anledningarna är dålig styrning av projektet i allmänhet och inom IT branschen i synnerhet. Baserad på kritik av de traditionella metoderna under de senaste åren, så har det uppkommit flera lättrörliga metoder som kallas Agila metoder. Scrum är den mest kända Agila metoden som används idag. Metoden lovar goda resultat, men i en artikel ur tidningen Computer Sweden (feb 2009) står det ”siffror visar att nio av tio Scrumprojekt misslyckas”. Artikeln triggade vårt intresse av att ta reda på vilka problem specifika för Scrum som många har kritiserat och valde därför att rikta in vår studie mot detta. Uppsatsen syftar till att undersöka om lokala IT-företag i Borlänge, Headlight, Sogeti ochstatliga nätkapacitetleverantören Trafikverket ICT lider av det allmänna problem som de andra Scrumanvändarna upplever i samband med användningen av metoden. Denna uppsats har fokus på fyra problemområden: bristfällig dokumentation, sämre effektivitet i arbetsprocessen, sämre effektivitet i arbetsprocessen i stora projekt samt bristande stöd för utvärdering. För vår studie har litteraturstudier och intervjuer genomförts. Intervjuserier gjordes på elva personer hos våra fallföretag. Målgruppen för våra intervjuer är Product Owner (PO) ScrumMaster (SM) och utvecklare. Vi kan efter genomförd studie dra slutsatsen att de allmänna upplevda problem som de andra Scrumanvändaren upplever har vi även kunnat identifiera hos våra fallföretag. Resultaten har bekräftats med insamlade data och vår teoretiska ram. I diskussionen presenterar vi rekommendationer för att undvik relaterade problem med Scrum.

Hur löser gymnasieelever ett rikt problem? : En undersökning om vilka uttrycksformer gymnasieeleveranvänder när de löser ett rikt matematiskt problem

I denna uppsats lägger jag fokus på att undersöka de olika matematiska uttrycksformer someleverna tillämpar när de löser ett rikt problem. Svaret söks med hjälp av empirisk data. Syftetmed arbetet är att undersöka hur några elever som går första året på gymnasiet löser ett riktproblem. Två grupper elever som går i två olika program deltar i undersökningen. Analysengjordes med hjälp av ”KLAG-matrisen”, dvs. en matris som innehåller uttrycksformerna Konkret,Logisk/språklig, Algebraisk/aritmetisk samt Grafisk/geometrisk. Resultatet av litteratur- ochempiristudien visar att oavsett hur eleverna uttrycker sig i sina lösningsförslag innehåller det alltidnågon form av algebraisk/aritmetisk uttrycksform. Detta kan bero på att det för dessa elever ärlättare att kommunicera med algebraisk/aritmetisk uttrycksform än med någon annan. Resultatetvisar också vikten av att använda problemlösning som ett medel i en lärandeprocess även för attutveckla andra förmågor. Eleverna har olika uppfattningar och gör olika tolkningar av problemet.De har olika förutsättningar och använder varierande lösningsmetoder. Detta skulle kunna varaen förklaring till varför deras användning av uttrycksformer är olika.

Health care providers' perceptions of and attitudes towards induced abortions in sub-Saharan Africa and Southeast Asia : a systematic literature review of qualitative and quantitative data.

BACKGROUND: Unsafe abortions are a serious public health problem and a major human rights issue. In low-income countries, where restrictive abortion laws are common, safe abortion care is not always available to women in need. Health care providers have an important role in the provision of abortion services. However, the shortage of health care providers in low-income countries is critical and exacerbated by the unwillingness of some health care providers to provide abortion services. The aim of this study was to identify, summarise and synthesise available research addressing health care providers' perceptions of and attitudes towards induced abortions in sub-Saharan Africa and Southeast Asia. METHODS: A systematic literature search of three databases was conducted in November 2014, as well as a manual search of reference lists. The selection criteria included quantitative and qualitative research studies written in English, regardless of the year of publication, exploring health care providers' perceptions of and attitudes towards induced abortions in sub-Saharan Africa and Southeast Asia. The quality of all articles that met the inclusion criteria was assessed. The studies were critically appraised, and thematic analysis was used to synthesise the data. RESULTS: Thirty-six studies, published during 1977 and 2014, including data from 15 different countries, met the inclusion criteria. Nine key themes were identified as influencing the health care providers' attitudes towards induced abortions: 1) human rights, 2) gender, 3) religion, 4) access, 5) unpreparedness, 6) quality of life, 7) ambivalence 8) quality of care and 9) stigma and victimisation. CONCLUSIONS: Health care providers in sub-Saharan Africa and Southeast Asia have moral-, social- and gender-based reservations about induced abortion. These reservations influence attitudes towards induced abortions and subsequently affect the relationship between the health care provider and the pregnant woman who wishes to have an abortion. A values clarification exercise among abortion care providers is needed.

Spiral drawing during self-rated dyskinesia is more impaired than during self-rated off

Background: A mobile device test battery, consisting of a patient diary collection section with disease-related questions and a fine motor test section (including spiral drawing tasks), was used by 65 patients with advanced Parkinson's disease (PD)(treated with intraduodenal levodopa/carbidopa gel infusion, Duodopa®, or candidates for this treatment) on 10439 test occasions in their home environments. On each occasion, patients traced three pre-drawn Archimedes spirals using an ergonomic stylus and self-assessed their motor function on a global Treatment Response Scale (TRS) ranging from -3 = very 'off' to 0 = 'on' to +3 = very dyskinetic. The spirals were processed by a computer-based method that generates a "spiral score" representing the PD-related drawing impairment. The scale for the score was based on a modified Bain & Findley rating scale in the range from 0 = no impairment to 5 = moderate impairment to 10 = extremely severe impairment. Objective: To analyze the test battery data for the purpose to find differences in spiral drawing performance of PD patients in relation to their self-assessments of motor function. Methods: Three motor states were used in the analysis; OFF state (including moderate and very 'off'), ON state ('on') and a dyskinetic (DYS) state (moderate and very dyskinetic). In order to avoid the problem of multiple test occasions per patient, 200 random samples of single test occasions per patient were drawn. One-way analysis of variance, ANOVA, test followed by Tukey multiple comparisons test was used to test if mean values of spiral test parameters, i.e. the spiral score and drawing completion times (in seconds), were different among the three motor states. Statistical significance was set at p<0.05. To investigate changes in the spiral score over the time-of-day test sessions for the three motor states, plots of statistical summaries were inspected. Results: The mean spiral score differed significantly across the three self-assessed motor states (p<0.001, ANOVA test). Tukey post-hoc comparisons indicate that the mean spiral score (mean ± SD; [95% CI for mean]) in DYS state (5.2 ± 1.8; [5.12, 5.28]) was higher than the mean spiral score in OFF (4.3 ± 1.7; [4.22, 4.37]) and ON (4.2 ± 1.7; [4.17, 4.29]) states. The mean spiral score was also significantly different among individual TRS values of slightly 'off' (4.02 ± 1.63), 'on' (4.07 ± 1.65) and slightly dyskinetic (4.6 ± 1.71), (p<0.001). There were no differences in drawing completion times among the three motor states (p=0.509). In the OFF and ON states, patients drew slightly more impaired spirals in the afternoon whereas in the DYS state the spiral drawing performance was more impaired in the morning. Conclusion: It was found that when patients considered themselves as being dyskinetic spiral drawing was more impaired (nearly one unit change in a 0-10 scale) compared to when they considered themselves as being 'off' and 'on'. The spiral drawing at patients that self-assessed their motor state as dyskinetic was slightly more impaired in the morning hours, between 8 and 12 o'clock, a situation possibly caused by the morning dose effect.

Distance measure and the p-median problem in rural areas

The p-median model is used to locate P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population patronize the nearest facility and that the distance between the resident and the facility may be measured by the Euclidean distance. Carling, Han, and Håkansson (2012) compared two network distances with the Euclidean in a rural region witha sparse, heterogeneous network and a non-symmetric distribution of thepopulation. For a coarse network and P small, they found, in contrast to the literature, the Euclidean distance to be problematic. In this paper we extend their work by use of a refined network and study systematically the case when P is of varying size (2-100 facilities). We find that the network distance give as gooda solution as the travel-time network. The Euclidean distance gives solutions some 2-7 per cent worse than the network distances, and the solutions deteriorate with increasing P. Our conclusions extend to intra-urban location problems.

How does data quality in a network affect heuristic solutions?

To have good data quality with high complexity is often seen to be important. Intuition says that the higher accuracy and complexity the data have the better the analytic solutions becomes if it is possible to handle the increasing computing time. However, for most of the practical computational problems, high complexity data means that computational times become too long or that heuristics used to solve the problem have difficulties to reach good solutions. This is even further stressed when the size of the combinatorial problem increases. Consequently, we often need a simplified data to deal with complex combinatorial problems. In this study we stress the question of how the complexity and accuracy in a network affect the quality of the heuristic solutions for different sizes of the combinatorial problem. We evaluate this question by applying the commonly used p-median model, which is used to find optimal locations in a network of p supply points that serve n demand points. To evaluate this, we vary both the accuracy (the number of nodes) of the network and the size of the combinatorial problem (p). The investigation is conducted by the means of a case study in a region in Sweden with an asymmetrically distributed population (15,000 weighted demand points), Dalecarlia. To locate 5 to 50 supply points we use the national transport administrations official road network (NVDB). The road network consists of 1.5 million nodes. To find the optimal location we start with 500 candidate nodes in the network and increase the number of candidate nodes in steps up to 67,000 (which is aggregated from the 1.5 million nodes). To find the optimal solution we use a simulated annealing algorithm with adaptive tuning of the temperature. The results show that there is a limited improvement in the optimal solutions when the accuracy in the road network increase and the combinatorial problem (low p) is simple. When the combinatorial problem is complex (large p) the improvements of increasing the accuracy in the road network are much larger. The results also show that choice of the best accuracy of the network depends on the complexity of the combinatorial (varying p) problem.

Wind farm construction impacts reindeer migration and movement corridors

Over the last decade, we have seen a massive increase in the construction of wind farms in northern Fennoscandia. Wind farms comprising hundreds of wind turbines are being built, with little knowledge of the possible cumulative adverse effects on the habitat use and migration of semi-domesticated free-ranging reindeer. We assessed how reindeer responded to wind farm construction in an already fragmented landscape, with specific reference to the effects on use of movement corridors and reindeer habitat selection. We used GPS-data from reindeer during calving and post-calving in the MalAyen reindeer herding community in Sweden. We analysed data from the pre-development years compared to the construction years of two relatively small wind farms. During construction of the wind farms, use of original migration routes and movement corridors within 2 km of development declined by 76 %. This decline in use corresponded to an increase in activity of the reindeer measured by increased step lengths within 0-5 km. The step length was highest nearest the development and declining with distance, as animals moved towards migration corridors and turned around or were observed in holding patterns while not crossing. During construction, reindeer avoided the wind farms at both regional and landscape scale of selection. The combined construction activities associated with even a few wind turbines combined with power lines and roads in or close to central movement corridors caused a reduction in the use of such corridors and grazing habitat and increased the fragmentation of the reindeer calving ranges.