Journal d'informatique et de biologie des systèmes

Successful Composition of a web service in dynamic environment is a big challenge and important research issue. Several service designers may produce similar or different services. In automatic service selection environment service may fail due to functional dissimilarity and non-functional property of the services (QoS) attributes. In this context, any service can be preferred for particular location. These preferences act as QoS attribute and play important role to minimize failure of the service. Knowledge of these location preferences also helps in dynamic service selection. In composition, services are present in heterogeneous environment with different location preferences. In this paper, we have developed a knowledge base for the location preferences, which we have termed as Location Affinity. We have also incorporated semantic matching phenomenon along with affinity matching of the service for distributed environment using distributed description logic.

This work investigates the effects of excessive mobile phone use on the human Health. The research is grounded upon the quantitative study conducted to amalgamate the outcomes on excessive usage of mobile phone from the medical practitioners. The survey questionnaire consists of five questions referred to the topic which adequately covered the data/knowledge related to the mobile phone devices and the impact that they create in the human physical structure. This questionnaire also contains some additional diseases like (Heart disease, effect on foetus, Alzheimer’s disease and Parkinson’s disease), but we have worked on three diseases (Brain tumor, male infertility and ear impairment). The data were accumulated utilizing the survey questionnaire from the medical doctors and the paramedical staff. The 150 questionnaires were distributed to the medical doctors of Civil Hospital, Jinnah Medical Hospital and Dow Medical Hospital of Karachi city. In conclusion, the doctors have given their own ideas about the effects of mobile phones on the human.