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11558 Uppsatser om Ćterskapa data - Sida 11 av 771
Datorspelsbranschen - Att estimera resursbehovet för nya projektteam baserat pÄ historiska data
Datorspelsbranschen Àr en relativt ung bransch, bÄde jÀmfört med andra delarav mjukvaruindustrin och nöjesbranschen. En av de stora utmaningarnaspelutvecklare stÄr inför Àr planeringen av den lÄngsiktiga kompetensförsörjningen.Dock saknas sammanstÀllda historiska data och applicerbararesursestimeringsmetoder, vilket gör detta arbete nÀst intill omöjligt. Det förstadelmÄlet med den hÀr studien Àr att samla in historiska data angÄende strukturenoch storleken pÄ utvecklingsteam som utvecklat AAA-spel (professionelltutvecklade spel med en hög budget) för pc-datorer. Datan samlas in frÄnkreditlistor hÀmtade via webbsidan Mobygames.com. Det andra delmÄlet bestÄri att utreda huruvida den insamlade datan kan appliceras pÄ modeller förestimering av framtida personalbehov.
Utveckling av dataanalysprogram för Opcon Powerbox
Opcon Powerbox is a product developed by Opcon together with the underlying company SRM (Svenska Rotor Maskiner) where surplus heat from the industry is used through an Organic Rankine Cycle (ORC)?process to produce electricity. An ORC-process is a thermodynamic circle process in which a refrigerant is used as the working fluid. The refrigerant makes it possible for the circle process to operate at lower temperatures than the conventional Rankine process.In this master?s thesis a data analysis software for the Opcon Powerbox has been developed in which measurement data is retrieved and handled from the Opcon Powerbox.
Sveplaserns anvÀndning till inventering/befÀstning/kontroll av vÀgmarkering
The thesis mission is to investigate whether the swiveling laser that Vectura (former VÀgverket Konsult) has in use to measure the road areas and straddle measuring can be used to detect differences in the reflective road markings function. This is to increase use of the swiveling laser and get rid of the manual measurements performed today.Currently, the measurement of road markings reflective function is performed with both mobile and handheld measuring instruments. The purpose of this thesis is to develop better methods for determination of road markings? reflective function, in order to facilitate the description and suggestions for improvements of the maintenance of road markings reflective function.The questions that the thesis has been to start with are:Can the swiveling laser detect differences in longitudinal and transverse road markings reflective function?The accuracy of measurement has been sweeping the laser over the reference instrument (LTL-2000)Is it necessary with a conversion factor for swiveling laser data against the reference instrument data?To answer the question 2 and 3, there has been a field work in VÀrnamo where a road stretch with longitudinal road markings and zebra crossing (transverse road markings) has been investigated with a swiveling laser and LTL-2000.The formulas and calculations contained in the thesis are drawn from scientific reports that are produced by VTI in Linköping. The same formula that was used to calculate the optical measurement data was also used for the swiveling laser data.
Identifiering av gallringsbehov med hjÀlp av flygburen laserskanning :
Thinning is one of the most important silvicultural activities in middle aged forests, partly to minimize damages and partly because it leads to earlier harvesting revenues and increases the value of the remaining trees. There are many different indices used to describe stand density and thereby the need of thinning in forests today. Studies have shown that forest variables can be estimated with high accuracy using airborne laser scanning and it is likely that the method could also be used to estimate forest density indices. In this study, the possibility of using the forest density index ?HÂČ to determine and map priorities for thinning operations for a forest area was examined.
Inmatningsrutiner för interna metadata i GISMeta
Metadata Àr en viktig del i arbetet med geografiska data. Med bra metadata kan anvÀndaren pÄ ett enklare och effektivare sÀtt hitta de data som Àr intressant för just honom eller henne. LÀnsstyrelsen i VÀstmanland har stora mÀngder geografiska data och beslutsdokument som rör geografiska omrÄden. Dessa geografiska data och dokument lagras pÄ servrar och Àr tillgÀngliga för handlÀggarna (anvÀndarna). GIS-gruppen har tidigare lagrat metadata för dessa geografiska data i en databas uppbyggd i Microsoft Access men en nyutvecklad metadatabas, GisMeta, ska börja anvÀndas.
Outsourcing av UAS-data : Informationshantering av data insamlad viaUAS
This reports purpose is to give a general view on how to handle information collectedthrough photogrammetry and laser scanning with the help of UAS. The report ismade in collaboration with WSP Group and will briefly describe howphotogrammetry and laser scanning, also known as Lidar, works and how those areused in the construction business today. Then the focus will be on how gathered datais handled today, how outsourcing of data should be approached and if there are anyconsequences if data is handled in the wrong way. Interviews have been made with allparts in the UAS business. That includes authorities as Transporstyrelsen,Försvarsmakten.
Prognostisering av rÀntabilitet pÄ eget kapital - En jÀmförelsestudie av tre regressionsmodellers prognosförmÄga applicerat pÄ svenska data
A multivariate cross-sectional model is used in this thesis to proxy for expected earnings and to estimate return on equity for 214 companies over the period 2009-2013, using Swedish data. The model, which has never been tested on Swedish data before, is first confirmed to function as a forecasting model for expected return. Furthermore, the model is evaluated through a comparison with two univariate models based on the assumption that return on equity follows a mean reversion process. Forecast accuracy is calculated as the difference of estimated returns and actual returns. The results show that the univariate models' forecasts are superior to the multivariate model's..
Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques
This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As the Smartdoc project aims to develop smart, interactive components to be used on low-end systems, the implementation of the self-organizing map algorithm proposes which dimensions to visualize.
Webfarming : En studie av möjligheter och problem
För att företag skall kunna konkurrera pÄ stÀndigt förÀnderliga marknader krÀvs att de har kunskap om exempelvis kundbehov, konkurrenter och nya produkter. KÀllor till denna kunskap finns bÄde internt inom organisationer och externt i deras omgivning. BÄde de interna och externa kunskapskÀllorna Àr viktiga, men under de senaste Ären har ett allt större intresse riktats mot de externa kÀllorna, dÄ de har blivit allt viktigare för att organisationer effektivt skall kunna hantera sina affÀrsprocesser.En av de kunskapskÀllorna som ofta nÀmnts Àr Internet och den data som lagras pÄ hemsidor runt om i vÀrlden. Dock Àr det svÄrt att hitta relevant data pÄ Internet pÄ grund av dess omfattning och dynamiska karaktÀr. Det har dÀrför börjat uppkomma nya tekniker för att inhÀmta, strukturera och integrera data frÄn Internet.
Ăr Handelsbankens belöningssystem Oktogonen en motivations och effektivitetshöjande strategi
Methodology The foundation to my essay has been created using both primary and secondary data. Inquiries have been handed out to Handelsbanken. This data is completed with appropriate theories and ends in an analysis and finally a result and suggestion to continuing studies.Conclusions My conclusion is that the employees and the management has the same opinion on the bonussystem Oktogon. Both parts sees the system as a motivation factor in the organization. But still not enough effect on the employees to call it an effective strategy..
Datadrivet beslutsfattande och kompetensutveckling: En intervjustudie om databaserad beslutsfattning och kompetensutveckling i fotbollsorganisationer
This study explores the shift in football recruitment from traditional scouting to data-driven methods, focusing on Sweden. It investigates how football organizations can enhance competency for effective data-driven recruitment. Through qualitative interviews with elite Swedish football organizations, the study emphasizes the need for competence development for proficient data-driven recruitment. To address the enhancement of personnel competency in the recruitment process, this study poses the research question: "How can football organizations effectively promote competence development to optimize their utilization of data-driven recruitment?" The results highlight the importance of targeted education, combining expertise in data-driven recruitment with a broad skill set.
KÀnsloigenkÀnning i form av ansiktsuttryck med Kinect
Facial expressions are a part of our body language that helps us to clarify the verbal communication between humans. We use our facial expressions every day, both consciously and unconsciously, to express emotions and attitudes depending on the situation. The hypothesis of the study is: Given a facial expression, how well can Microsoft Kinect, as an input method, determine a person?s feelings with the two algorithms Naive Bayes and Sequential Minimal Optimization? The feelings are limited to happy, sad, surprised and disgusted. With the help of Kinect, a person?s facial data, both coordinates of the face and parameterized data, were saved and used for machine learning.
GenerationsskrÀpsamling med explicit kontroll av hÄrdvarucache
This report evaluates whether an interpreted high-level garbage collected language has enough information about its memory behaviour to make better cache decisions than modern general CPU hardware.With a generational garbage collector, depending on promotion algorithm and generation size, around 90% of all objects never leave the first generation. This report is based on the hypothesis that, because of the low promotion rate, accesses to higher generations are sufficiently rare not to benefit from caching.To test this hypothesis, we built an operating system with a Scheme interpreter in kernel mode, where the interpreter controls the cache. Generic x86 PC hardware was used, since it allows fine-grained control of cache decisions.Measurements of execution time in this interpreter show that disabling the cache for generations higher than the first does not give any performance gain, but rather a performance loss of up to 50%.We conclude that this interpreter design is not an improvement, but cannot conclude that the hypothesis is false in general. We suggest building a better CPU simulator to gather more data from which to make better caching decisions, moving internal interpreter data structures into the garbage collected heap and modifying the hardware to allow control in the currently rigid dimension of where data is cached---for example separate control of instruction and data caches and separate data caches for different areas of memory..
Implementation av offline-lÀge i mobila applikationen GreatRate
Ăven om de flesta av oss i dagslĂ€get vet att vĂ„ra mobila enheter kan tappa sina nĂ€tverksanslutningar lite dĂ„ och dĂ„ har det mer eller mindre blivit en sjĂ€lvklarhet att i alla lĂ€gen Ă€ndĂ„ kunna anvĂ€nda vĂ„ra favoritapplikationer som vanligt. Denna rapport syftade till att hitta en lösning pĂ„ problemet med nĂ€tverksberoende applikationer genom att implementera ett offline-lĂ€ge som kringgick detta beroende i GreatRate, en iOS-applikation för kundundersökningar i butik. Med hjĂ€lp av en databas för att mellanlagra data under tillfĂ€llen dĂ„ en duglig nĂ€tverksanslutning inte fanns tillgĂ€nglig samt synkronisering av nĂ€mnda data nĂ€r anslutningen Ă„ter blivit funktionell förvĂ€ntades problemet kringgĂ„s. Resultatet blev som vĂ€ntat en applikation som gav anvĂ€ndaren en förhöjd anvĂ€ndarupplevelse helt oberoende av nĂ€tverksanslutningens status. NĂ„gra av slutsatserna som drogs var dock att flera olika lösningar finns för detta problem och att problemet högst troligt har olika utseenden för olika applikationer..
Inverkan av leasingklassificering pÄ konkursrisk - en studie av hur redovisningsbaserade prediktionsmodeller pÄverkas av en ny leasingstandard
The purpose of this bachelor-thesis is to investigate the possible effects of lease accounting on the estimation of bankruptcy. This is done by estimating the risk via prediction models based on accounting ratios for a sample of 43 listed firms in Sweden. Estimation is conducted twice for each firm, once base on unadjusted data as it is presented in the annual report of 2012, and one with data adjusted for operational leases (that is data is treated as if all leases present were to have been reported as financial leases). In the next step it is tested weather the predictive ability of the models is affected by this adjustment or not. For this purpose translation of bankruptcy risk into synthetic credit ratings via interest coverage ratios is done.