An Integrated environment for data acquisition with dynamic changes in wireless sensor networks

The wireless sensor network (WSN) is an important technology with a wide variety of diverse applications in such domains as healthcare, military forces and environmental monitoring. Our research aims at developing methods and tools capable of addressing WSN problems such as energy constraint, low memory, and computation capability of a sensor node by implementing a new WSN design concept, improving existing and developing new protocols. Our research goal is to develop novel generic methodologies supporting a higher level of design flexibility and possible architectural optimization against multiple criteria such as the quality of data (QoD), quality of service (QoS), and lifetime extension. Application requirements may vary in terms of abovementioned parameters and consequently there is no single platform that can be applied to all domains. Moreover, current methods do not provide opportunities for dynamic changes of either protocols or their parameters, which might improve WSN agility and survivability in a harsh environment. This problem can be solved by integrating various protocols at different layers within a single framework and supporting their dynamic selection in order to adapt the network to varying application requirements. This thesis develops a mechanism which facilitates structural design and implementation of an Integrated Environment for Data Acquisition with Dynamic Changes (IEDADC). It features adaptation and integration of protocols, protocol switching and automatic or manual selection as well as the implementation of quality assurance and localization techniques. The design methodology is tested by implementing a SN prototype consisting of a base station and sensor nodes. Sun Small Programmable Object Technology is used as a hardware basis for this work. The software has been developed in Java programming language including the host and sensor nodes\u27 applications. The conducted experiments have confirmed the higher level of design flexibility and optimization of the following criteria: energy consumption, QoD and QoS

THE DEVELOPMENT OF AN EXPERT SYSTEM IN THE AREA OF MATHMATICAL EDUCATION AT SCHOOL (8TH GRADE) ON THE POLYLINGUALISM PLATFORM (RUSSIAN-TATAR-ENGLISH)

With the increasing workload of a teacher arises a problem of fast diagnosing the deterioration of pupils’ academic performance with the corresponding differentiation of the academic workload. To cope with this problem an Expert System (ES) has been developed, which is capable of consulting a teacher in questions related to the techniques of teaching a subject, from the analysis of pupils’ academic performance. The article uncovers the general didactic concepts of developing an ES in educational area on the example of teaching Algebra subject for the 8th grades based on polylingualism. During this research the architecture of the ES has been developed. In addition innovative approaches in analysis and processing of relevant data by the ES have been implemented in the form of a computer application. The model of analyzing pupils’ academic performance represented in grades is used as a basis for building an individual educational strategy. The system automatically selects the most optimal academic load for each individual pupil as well as for the entire class. This helps achieving flexibility during developing and realization of the study course. Due to the fact that some of the responsibilities of the teacher are taken by the ES, the teacher’s workload decreases, at the same time increasing the quality of education. The system is capable of analyzing current academic performance of each individual pupil in real time and depending on the improvement or deterioration in pupil performance it differentiates the load of a particular student for instance by generating individual homework exercises