Attitudes towards the minority variety Caló in the south of Spain : a sociolinguistic study

Caló is a variety spoken by the Spanish Calé (i.e. the Roma). It belongs to a group of languages referred to as “Para-Romani”, characterized by Romani vocabulary, but largely non-Romani morphology, phonology and syntax, in the case of Caló deriving from Spanish. According to previous research carried out – with focus on the vocabulary and the grammar of this variety – Caló is on its way to extinction. However, there is an expressed interest in reintroducing a form called “Romanó-Caló”. Attitudes play an important role in minority language maintenance as well as in order for a revitalization project to be successful. The aim of this study is to measure the attitudes that both Calé and non-Calé have towards Caló and Caló speakers, a type of study never carried out in the past. The methods applied are both direct and indirect. In total, 231 informants listened to different recordings of voices acting as either a “Spanish speaking person” or a “Caló speaking person”, a technique referred to as ‘matched guise’, answering questions related to the voices on attitude scales. Furthermore, 182 of the informants rated their agreement or disagreement to positive and negative items towards Caló and its speakers on a Likert scale. The results of the analysis indicate that the attitudes differ towards Caló and Caló speakers, depending on the informant’s (a) ethnicity (b) contact with Caló as well as with Caló speakers, and (c) gender. It is those who – in their own opinion – belong to the ethnic group Calé, as well as those who claim that they have some contact with the variety and its speakers, who show positive attitudes in both parts of the study. The women also show more positive attitudes than the men. It is also possible to note positive attitudes towards the variety and its speakers among the subjects with a high level of knowledge of Caló words, as well as among those with the highest willingness to use Caló. These observations suggest that a revitalization project of the variety Caló has a clear chance of being successful.

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.