För att företag skall kunna konkurrera på ständigt föränderliga marknader krävs att de har kunskap om exempelvis kundbehov, konkurrenter och nya produkter. Källor till denna kunskap finns både internt inom organisationer och externt i deras omgivning. Både de interna och externa kunskapskällorna är viktiga, men under de senaste åren har ett allt större intresse riktats mot de externa källorna, då de har blivit allt viktigare för att organisationer effektivt skall kunna hantera sina affärsprocesser.En av de kunskapskällorna som ofta nämnts är Internet och den data som lagras på hemsidor runt om i världen. Dock är det svårt att hitta relevant data på Internet på grund av dess omfattning och dynamiska karaktär. Det har därför börjat uppkomma nya tekniker för att inhämta, strukturera och integrera data från Internet.

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..

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.

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.

Slakteriverksamhet blir allt mer intressant med tanke på de ständiga variationerna i slaktsvinspriset, en av flera stora osäkerhetsfaktorer inom lantbruksbranschen. Genom att komplettera olika verksamheter inom animalieproduktion med ett slakteri har man möjlighet till att investera sig till en större säkerhet genom att man har hela produktionsledet fram till konsumenten. Syftet med projektet är att undersöka om det går att få lönsamhet i ett mindre slakteri samt vilka formella krav som ställs. Därför togs kontakt med en mindre slakteriägare som bedriver slakteriverksamhet lokalt i Blekinge. Denna slakteriägare utgör huvudkällan till arbetet. Det första man ska söka vid ett ägarbyte är tillstånd. Beroende på hur mycket köttprodukter du producerar ansöker du antingen till kommunen eller till Livsmedelsverket.

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..

Bakgrund: Att kunna andas ?r grundl?ggande f?r livet och k?nslan av att inte f? tillr?ckligt med syre kan skapa r?dsla och obehag. Andn?d ?r ett symtom som ?ver h?lften av alla patienter med hj?rtsvikt upplever och kan p?verka den drabbades vardag negativt och leda till en s?mre h?lsa. Att f?rebygga oh?lsa, fr?mja h?lsa och bibeh?lla h?lsa och genom omv?rdnads?tg?rder ?r ett grunduppdrag f?r sjuksk?terskan.

Även om de flesta av oss i dagsläget vet att våra mobila enheter kan tappa sina nätverksanslutningar lite då och då har det mer eller mindre blivit en självklarhet att i alla lägen ändå kunna använda våra favoritapplikationer som vanligt. Denna rapport syftade till att hitta en lösning på problemet med nätverksberoende applikationer genom att implementera ett offline-läge som kringgick detta beroende i GreatRate, en iOS-applikation för kundundersökningar i butik. Med hjälp av en databas för att mellanlagra data under tillfällen då en duglig nätverksanslutning inte fanns tillgänglig samt synkronisering av nämnda data när anslutningen åter blivit funktionell förväntades problemet kringgås. Resultatet blev som väntat en applikation som gav användaren en förhöjd användarupplevelse helt oberoende av nätverksanslutningens status. Några 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..

Fritidshemmet ska enligt syfte s? som beskrivet i l?roplanen ?stimulera elevernas utveckling och l?rande samt erbjuda eleverna en meningsfull fritid?. (Skolverket, 2022, s.25) Begreppet ?meningsfull fritid? kan upplevas som otydlig eller sv?vande, och m?nga personliga tolkningar kan komma att p?verka hur man v?ljer att definiera begreppet. Denna studie syftar till att unders?ka hur l?rare i fritidshem tolkar och implementerar begreppet "meningsfull fritid" i praktiken.

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.

Thesis Purpose: The purpose of our thesis is to explore different plausible scenarios concerning the future of the Swedish produce industry with regards to branding. Methodology: In order for us to answer the research question and fulfill its purpose, we have utilized a qualitative approach combined with of both an inductive and deductive theoretical approach. Our study is both explorative and speculative. Theoretical Perspective: The theoretical framework of our research is based upon Porters Five Forces and Competitive Advantage combined with Kapferers Brand Identity Prism and his ideas on Brand Innovation. Additionally, we have utilized the Game Theory.

This paper describes Tempus Custode, a smartphone application with which the user may register working hours and travel time during the work day. The application communicates with a database via a server. The data stored in the database may be manipulated using an administrator tool, mainly for the composition of time reports. In this way, the user?s task of time reporting his day is greatly simplified.The application is able to automatically discriminate between work time and travel time, as it continuously fetches positioning data from the smartphone GPS receiver.

Examensarbetet är utfört på uppdrag av Banverket Data i Borlänge. Syftet med arbetet var att ta fram en kravspecifikation för en telefonkatalogs applikation för deras intranät samt utveckla denna i .Net mot ett befintligt mellanlager. Arbetet med utvecklingen har följt Banverket Datas egen metod för systemutveckling och arbetet med förstudierna har använt kvalitativ och kvantitativ metod. Dessutom beskriver rapporten även kravspecifikationer mer ingående..

In this paper we examine the possibilities to develop the population based research in Sweden by using technological advancements. The problem that exists with population based research today is that there is a contrast between conducting important research on one side and preserving the individuals? integrity on the other. To examine this problem we are studying two projects that are active in this area. The two projects are SIMSAM (Swedish Initiative for research on Microdata in the Social and Medical Sciences) and DDB (Demografiska databasen).

To make it easier for forestry planning the forest owners needs data which describe characteristics of the forest. Such data you usually get from some type of inventory. A relatively new technology which probably is getting more important in the future, is laser scanning because of lower costs. But because the laser technology is relatively new you need to compare it with conventional inventory technologies to get better understanding of the possibilities the laser technology gives. This work intends to estimate field measured characteristics of the forest from laser data with help of regression analysis and then see which of the field measured properties that best could be estimated and which laser variables that gave the best results. This study shows that heights has the best estimates, but biomass, diameter and volume also gives good estimates.