This paper presents the design and implementation of an open Visual Object-Oriented Programming Environment (VOOPE). The environment supports a programming approach in which a program is created using Extended Visual Objects (EVOs)ýthe objects having visual forms and dynamic behaviors. The environment allows creation of EVOs and modification of their behavior to adapt the changing software requirements. Thereby, VOOPE allows incremental software development using the learning capability of EVOs without rebuilding the software.

This paper presents the design and implementation of an open Visual Object-Oriented Programming Environment (VOOPE). The environment supports a programming approach in which a program is created using Extended Visual Objects (EVOs)ýthe objects having visual forms and dynamic behaviors. The environment allows creation of EVOs and modification of their behavior to adapt the changing software requirements. Thereby, VOOPE allows incremental software development using the learning capability of EVOs without rebuilding the software.

​The bioactive compound, Glycopentalone isolated from Glycosmis pentaphylla (Retz) (family Rutaceae) have recently reported to have cytotoxic and apoptosis inducing effects in various human cancer cell lines.

Dense and large scale Wireless Sensor Networks (WSNs) require strategies for data gathering with efficient, scalable, robust, large area coverage, and extended network lifetime attributes. We propose a novel and efficient data gathering algorithm, EDGS, to collect data in these challenging WSNs. EDGS creates virtual network backbone based on regular graph structure called the Gray Cube. Several short multi-hop data collection paths are embedded in the cube's communication tree. The backbone nodes are subset of the WSN nodes and act as access points for other nodes.

An increasing number of smart mobile devices offering the ability to perform various types of ubiquitous computation are emerging as large computer networks with an unprecedented scale. Large Scale Mobile Ad Hoc Networks (MANETs) place strong challenges on many aspects of network modeling, deployment, protocols, and resource discovery. Existing policies and techniques in MANETs need to be scaled efficiently as the average deployable network size increases.