Egenföretagande kvinnors försörjningsvillkor och strategier för att minimera försörjningsrisker

Conditions and strategies for economic security for self-employed women in Sweden Although political parties are singing praises of entrepreneurship, welfare systems do not recognize the self-employees’ rights to decent conditions of basic economic safety and oftheir access to social security. This means that self-employed are forced to find their own way to reduce the risks of losing the possibility to support them self economically. This article examines twelve self-employed women’s daily conditions to support themselves and their strategies to deal with risks. The study shows that the interviewed have more freedom to find their own support strategies than wage-employed but on (the other side) their position on the labour market and the systems for social security doesn’t recognize their vulnerability towards risk in the same manner as wage-employed.

Obstacles and Opportunities Foreign Graduates Meet In Dalarna Labour Market, Sweden

Foreign graduates have been part of the success stories of many developed countries. This is as a result of their immeasurable deposit of ideas, knowledge, and innovation in the host country. Though the process of these foreign graduates penetrating and integrating into the labour market of the host country could be slow and rough as they encounter some obstacles on the way; they still strive to break through and be part of the country’s workforce because they foresee some opportunities therein. This research study is about the obstacles and opportunities foreign graduates meet in Dalarna labour market. The study investigated and identified the obstacles and opportunities foreign graduates meet in Dalarna labour market. For a thorough execution of this research, we collected primary data by handing questionnaires to 65 foreign graduates searching for jobs in Dalarna region and interviewed eight people, among which seven were foreign graduates and one of them was a staff at Arbestförmedlingen (Employment Agency) to give us a general view of the Dalarna labour market. We read previous research works and related articles to understand the topic in order to get an overview of the terminologies and concept to apply. This study concluded that language is a major obstacle foreign graduates meet in the Dalarna labour market. Other possible obstacles include culture, poor integration policies, lack of a placement bureau, lack of trust, limited opportunities, favoritism, lack of jobs, lack of references and experience. On the other hand factors like job availability, outgoing labour force and unskilled labour are possible opportunities foreign graduates meet in the Dalarna labour market. Furthermore flexible work time, good working atmosphere, experience, social security/welfare, good standard of living, family friendly region, higher wages, job security and cheap cost of living are also possible benefits that foreign graduates get in Dalarna.

Soft computing in biometrics : a pragmatic appraisal

The ever increasing spurt in digital crimes such as image manipulation, image tampering, signature forgery, image forgery, illegal transaction, etc. have hard pressed the demand to combat these forms of criminal activities. In this direction, biometrics - the computer-based validation of a persons' identity is becoming more and more essential particularly for high security systems. The essence of biometrics is the measurement of person’s physiological or behavioral characteristics, it enables authentication of a person’s identity. Biometric-based authentication is also becoming increasingly important in computer-based applications because the amount of sensitive data stored in such systems is growing. The new demands of biometric systems are robustness, high recognition rates, capability to handle imprecision, uncertainties of non-statistical kind and magnanimous flexibility. It is exactly here that, the role of soft computing techniques comes to play. The main aim of this write-up is to present a pragmatic view on applications of soft computing techniques in biometrics and to analyze its impact. It is found that soft computing has already made inroads in terms of individual methods or in combination. Applications of varieties of neural networks top the list followed by fuzzy logic and evolutionary algorithms. In a nutshell, the soft computing paradigms are used for biometric tasks such as feature extraction, dimensionality reduction, pattern identification, pattern mapping and the like.