This paper presents a simple approach to characterize the effects of scattering objects around indoor links at 28 GHz while the link is fully blocked by a human body. The effects of scattering objects nearby the link were studied by conducting measurements with a metallic re ector and the human body.

This paper presents some initial studies for characterizing effects of human body movements on short range indoor links at 18-22 GHz. Firstly, measurement system is described, and then, calibration measurements along with initial results of the impact of human body movement on the channel are presented for some scenarios. 

Mobile wireless technologies have followed different evolutionary (generation) paths aimed at unified target related to the

performance and efficiency in high mobile environment, which provides access to wide range of telecommunication services

including advanced mobile services supported by mobile and fixed networks. This paper illustrate the developments of the

mobile wireless communication, focus on the specification and capability for each technology to make an idea about the future

technology what will offer.

Abstract— XML and relation database are two of the most important mechanisms for storing and transferring data. A reliable and flexible way of moving data between them is very desirable goal. The way data is stored in each method is very different which makes the translation process difficult. To try and abstract some of the differences away, a low–level common data model can be used to successfully move data from one model to another. A way of describing the schema is needed. To the best of our knowledge, there is no widely accepted way of doing this for XML.                                                         

Recently, XML Schema has taken on this role. On one hand, this paper takes XML conforming to XML schema definitions and transforms into relational database via the low–level modeling language HDM. On the other hand, a relational database is transformed into an XML Schema document and an XML instance document containing the data from the database. The transformations are done within the Auto med framework providing a sound theoretical basis for the work. A visual tool that represents the XML Schema in tree structure and allows some manipulation of the schema is also described.   

Abstract— With the growth of digital Arabic documents specially in information retrieval (IR) and natural language processing (NLP) applications, identification of irregular plurals which are commonly called broken plurals (BP) in modern standard Arabic becomes very urgent issue. Broken plurals are formed by imposing interdigitating patterns on stems, and singular words cannot be recovered by standard affix stripping stemming techniques. Identifying broken plurals is an important and difficult problem which needs to be addressed. In information retrieval, deriving singulars from plurals is referred to as a stemming. The process of stemming can be achieved by removing the attached affixes from a given word. To the best of our knowledge, all existing Arabic stemmers are unreliable and still under research. Consequently, this paper proposes an approach which identifies broken plurals without the need to perform the stemming process on any given word. The well known decision tree system (WEKA J48) is applied to build a classifier (model) on a very huge Arabic corpus as a training data which is pre-processed and prepared as a piece of this work. The built classifier is evaluated using unseen test set. The obtained results reveal that a very promising broken plural recognizer could be designed and implemented for NLP applications.