A lot of various substances can be detected by dogs, as oestrous in cows, endangered species or non-biological substances like accelerants, narcotics, explosives, mines and pollutions and biological substances like identity (suspects), cancer (breast, lung, colorectal and bladder cancer), human remains (cadaver), bacteria and mould in buildings. The dogs are trained using non-scientific methods and not much research in detection training exists. This is a review of different types of dog detection, with focus on new research..

With the help of image analysis and scent theory, we have made an analysis that explains how the perfume smells in advertising. There are many different factors that play a role in our perception of smell by image. We have found that using the connotations we can get a sense of the scent. What helps us along the way, the colors, the women and the environment. From this one different conclusions are mad and we create a scent sensation..

The thesis examines the relationship between consumer attitudes and a scented shopping environment. A relationship and phenomena concerning scent marketing, which could be seen as one of the more provocative forms of marketing since the human sense of smell, is connected to the limbic system where motivation and attitudes are created. The use of scent marketing has, so far, been proven effective in sales increasing whereas it is one of the less explored forms of marketing.The purpose of the thesis is to answer the following question: Is it possible to find differences in consumer attitudes in a scented buying environment compared to a nonscented buying environment, and thereby create new basis for segmentation?The thesis is based on a quantitative study where data has been gathered in a scent manipulated buying environment through structured interviews with consumers. The thesis applies a deductive approach to the main theories in the area of interest.The findings suggest new theory discussing that it is difficult to use consumer attitudes, towards a scented store environment, as a foundation for market segmentation.

In today?s archaeology there?s a growing need for non-invasive prospection methods. However there?s a methodological gap and what?s missing is a method for locating human bones. In this study a specially trained German shepherd is put through scientific tests determining how good the dog is at telling the different between the scent of human and animal bones.

Context: Congruent ambient scents are not used extensively in marketing and there is only some research in this area within the Swedish retail. Moreover, there are not many studies that show how ambient scents influence customer behavior in a Swedish clothing store.Purpose: Examine and analyze which of the ambient scent vanilla and white orchid that suite and can provide a signature fragrance to the clothing store Kompaniet in Kalmar. The purpose of this study is therefore to compare how these scents affect the customers? behavior in the servicescape.Method: A deductive research strategy with an experimental design. The experiment was performed in Kompaniet in Kalmar.Theory: Our theoretical framework consists of sensory marketing, male and female shopping behavior, the sense of smell and ambient scent in the servicescape atmospherics.Results: Here we present a presentation of Kompaniets servicescape.

This thesis describes new methods for automatic crack detection in pavements. Cracks in pavements can be used as an early indication for the need of reparation.Automatic crack detection is preferable compared to manual inventory; the repeatability can be better, the inventory can be done at a higher speed and can be done without interruption of the traffic.The automatic and semi-automatic crack detection systems that exist today use Image Analysis methods. There are today powerful methods available in the area of Computer Vision. These methods work in higher dimensions with greater complexity and generate measures of local signal properties, while Image Analyses methods for crack detection use morphological operations on binary images.Methods for digitalizing video data on VHS-cassettes and stitching images from nearby frames have been developed.Four methods for crack detection have been evaluated, and two of them have been used to form a crack detection and classification program implemented in the calculation program Matlab.One image set was used during the implementation and another image set was used for validation. The crack detection system did perform correct detection on 99.2 percent when analysing the images which were used during implementation.

This report treats detection in IR-pictures taken from airplanes over the ground. The detection is divided in two parts. First there is a detection with filterkernels with the task to point on targets and objects that look like targets. The second part is a discriminator that demands more calculations and has the task to sort out the false alarms from the discriminator. Both the detector and the discriminator contain thresholds thats been trained from trainingsets of data.

The invasive species raccoon dog (Nyctereutes procyonoides) is currently under establishment Sweden and it is vital to discover invading individuals to prevent colonization. The use of wildlife cameras to discover dispersing raccoon dogs have been implemented in the north-European raccoon dog management program. In this study, I test the ability of four commercially available scent lures to attract raccoon dogs to camera stations. The study was conducted in the Åland Islands where raccoon dogs are abundant and the results could improve the effectiveness of the camera stations used in the program. I used 12 sites with five camera stations in each and tested the four lures and one control with no lure in each site.

The heuristic methods used by the anti-trojan application TrojanHunter have been evaluated. The evaluation shows that the heuristic scan engine of TrojanHunter has a very good detection ratio and that the detection ratio can be even further improved by implementing the suggested improvements, the most important of which is a white list to avoid misidentifying files that are known not to be trojans..

This study presents results for observing forest changes in Sweden using multi-temporal L-band satellite data and is a part of the JAXA?s ALOS Kyoto and Carbon Initiative. An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is investigated for clear-cut detection in boreal forests in northern Sweden (Lat. 64°14? N, Long.

The purpose of this thesis work was to develop an automatic fault detection system for surveillance of bearing temperature in hydropower turbines. The parameters used except the bearing temperature were cooling water temperature and cooling water flow. A simple static model based on data sampled every minute was developed to estimate the bearing temperature. Then a detector for detection of change in bearing temperature based on the CUSUM-algorithm was designed. Since the amount of data was very small the developed model was too uncertain to be used in a working system.The designed fault detection system showed to work well for the available data.

Dairy farmers using artificial insemination (AI) are dependent on effective oestrus detection. In Sweden, AI is used for a majority of all dairy cows and oestrus synchronisation with hormones is not allowed. There are reports of declining ability to express oestrus with higher levels of milk production. This makes oestrus detection more difficult. Several aids for oestrus detection have been developed, for instance pedometers and mounting detectors.

Electrooculogram (EOG) data was used to develop, adjust and validate a method for drowsiness detection in drivers. The drowsiness detection was based on changes in blink behaviour and classification was made on a four graded scale. The purpose was to detect early signs of drowsiness in order to warn a driver. MATLAB was used for implementation. For adjustment and validatation, two different reference measures were used; driver reported ratings of drowsiness and an electroencephalogram (EEG) based scoring scale.

This report discusses a method to detect divers in harbour environments usingpassive acoustic detection. The goal was to achieve as high detection as possiblewithout having too high false alarm rate. A short execution time was also desirable.By using the characteristic of an inhalation a band-pass filter was applied to the signalto improve the signal to noise ratio. After the filtering an energy estimation of thesignal was made. This energy estimation was later used in a frequency analysis, whichcould tell us if there were enough energy in the frequencies that correspond to adivers breathing frequency.

This project measures the upper bound of exposure time for laser reflection detection in the software DotDetector. Via measurement of the exposure time for which distortion happens in a room lit with everyday light we conclude that the upper bound for exposure times are 100 milliseconds. This value does not change as long as the lighting in the room is the same. As future work this project proposes variable upper bounds depending on secondary lighting in the room. Also we propose automating the colour masking of the detection algorithm..