Förpackningsdesign i genusperspektiv : En granskning av duschcremesförpackningar

Färg och form kan bidra till att skapa uppmärksamhet, förmedla budskap och skapa känslor som i sin tur kan öka sannolikheten av att kunden genomför köpet. Förpackningens färg och form bör synkronisera för att budskapen inte ska motsäga varandra, och det är mycket viktigt att designen lämpar sig till målgruppen. Färg kan ses som ett språk som kommunicerar med konsumenten, och att förstå detta språk kan vara ett starkt redskap inom marknadsföring och design. Det är vanligt att förpackningsdesign riktas mot något eller bägge könen och att ge produkten en karaktär av maskulint eller feminint kan vara ett effektivt tillvägagångssätt att särskilja produkten från resterande sortiment. I samband med färg och form är det nödvändigt att förstå konsumentens behov samt användning av produkten, och det är viktigt att skapa en god design riktad mot rätt målgrupp. Det är viktigt att förstå vad konsumenten attraheras till och vad som lockar till att genomföra ett köp. Syftet med denna studie var att ta reda på varför förpackningsdesign för duschcreme specificerade för kvinnor respektive män skiljer sig, och vad som anses vara kvinnligt och manligt när det kommer till färg och form, i samband med duschcremesförpackningar. För att ta reda på detta genomfördes en visuell innehållsanalys samt en enkätundersökning. Resultatet som genererades av dessa metoder sammanfattades i tabeller och diagram, som tydligt visar de färger som anses vara maskulina samt feminina. Mörka färger, som svart och blått, anses vara maskulina medan ljusa färger och rosa toner anses vara feminina. Mjuka grafiska element och former kopplas till femininitet medan motsatsen kopplas till maskulinitet. Slutsatsen av detta är att anledningen till att förpackningarna skiljer sig är för att lättare kommunicera med målgruppen, och i detta fall via färg och form.

Utveckling av metod för att bedöma behovet av ogräsbekämpning i spår

A system for weed management on railway embankments that is both adapted to the environment and efficient in terms of resources requires knowledge and understanding about the growing conditions of vegetation so that methods to control its growth can be adapted accordingly. Automated records could complement present-day manual inspections and over time come to replace these. One challenge is to devise a method that will result in a reasonable breakdown of gathered information that can be managed rationally by affected parties and, at the same time, serve as a basis for decisions with sufficient precision. The project examined two automated methods that may be useful for the Swedish Transport Administration in the future: 1) A machine vision method, which makes use of camera sensors as a way of sensing the environment in the visible and near infrared spectrum; and 2) An N-Sensor method, which transmits light within an area that is reflected by the chlorophyll in the plants. The amount of chlorophyll provides a value that can be correlated with the biomass. The choice of technique depends on how the information is to be used. If the purpose is to form a general picture of the growth of vegetation on railway embankments as a way to plan for maintenance measures, then the N-Sensor technique may be the right choice. If the plan is to form a general picture as well as monitor and survey current and exact vegetation status on the surface over time as a way to fight specific vegetation with the correct means, then the machine vision method is the better of the two. Both techniques involve registering data using GPS positioning. In the future, it will be possible to store this information in databases that are directly accessible to stakeholders online during or in conjunction with measures to deal with the vegetation. The two techniques were compared with manual (visual) estimations as to the levels of vegetation growth. The observers (raters) visual estimation of weed coverage (%) differed statistically from person to person. In terms of estimating the frequency (number) of woody plants (trees and bushes) in the test areas, the observers were generally in agreement. The same person is often consistent in his or her estimation: it is the comparison with the estimations of others that can lead to misleading results. The system for using the information about vegetation growth requires development. The threshold for the amount of weeds that can be tolerated in different track types is an important component in such a system. The classification system must be capable of dealing with the demands placed on it so as to ensure the quality of the track and other pre-conditions such as traffic levels, conditions pertaining to track location, and the characteristics of the vegetation. The project recommends that the Swedish Transport Administration: Discusses how threshold values for the growth of vegetation on railway embankments can be determined Carries out registration of the growth of vegetation over longer and a larger number of railway sections using one or more of the methods studied in the project Introduces a system that effectively matches the information about vegetation to its position Includes information about the growth of vegetation in the records that are currently maintained of the track’s technical quality, and link the data material to other maintenance-related databases Establishes a number of representative surfaces in which weed inventories (by measuring) are regularly conducted, as a means of developing an overview of the long-term development that can serve as a basis for more precise prognoses in terms of vegetation growth Ensures that necessary opportunities for education are put in place

Triggering Solar-Powered Vehicle Activated Signs using Self Organising Maps with K-means

Solar-powered vehicle activated signs (VAS) are speed warning signs powered by batteries that are recharged by solar panels. These signs are more desirable than other active warning signs due to the low cost of installation and the minimal maintenance requirements. However, one problem that can affect a solar-powered VAS is the limited power capacity available to keep the sign operational. In order to be able to operate the sign more efficiently, it is proposed that the sign be appropriately triggered by taking into account the prevalent conditions. Triggering the sign depends on many factors such as the prevailing speed limit, road geometry, traffic behaviour, the weather and the number of hours of daylight. The main goal of this paper is therefore to develop an intelligent algorithm that would help optimize the trigger point to achieve the best compromise between speed reduction and power consumption. Data have been systematically collected whereby vehicle speed data were gathered whilst varying the value of the trigger speed threshold. A two stage algorithm is then utilized to extract the trigger speed value. Initially the algorithm employs a Self-Organising Map (SOM), to effectively visualize and explore the properties of the data that is then clustered in the second stage using K-means clustering method. Preliminary results achieved in the study indicate that using a SOM in conjunction with K-means method is found to perform well as opposed to direct clustering of the data by K-means alone. Using a SOM in the current case helped the algorithm determine the number of clusters in the data set, which is a frequent problem in data clustering.