Due to an account of its excellent hardness and wear behavior, AISI D2 is used widely in producing of blanking and cold-forming dies, Punches, Shafts, Studs, and Bolts. Increasing toughness at a fixed high level of hardness is growing requirement for this kind of applications. Improving microstructure characteristics, especially carbides distribution by specific heat treatment, is an appropriate way to meet such requirement. The effect of quenching media on microstructure and hardness of pre-heated and austentized (at 980oC) AISI-D2 tool steel has been studied, and hardness and carbides morphology have been investigated. Three different medias, water, oil and water/oil (time quenching) have been used, then all samples were followed by the same tempering 350oC/1 hour. It has been found that the optimal carbides distribution and optimum hardness have been resulted from a time quenching method.

In this paper we present an approach to optimistic concurrency control where the write phase occurs before the validation phase (RWV instead of RVW). Our work extends earlier research into real-time databases that utilized virtual execution to lower disk access overheads. Such work demonstrated that virtual execution allowed an increase in transactions completing before deadlines expired and improvements in overall throughput. However, we demonstrate that only with the reversal of the write and validation phases can virtual execution reach its full potential.

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Abstract: The igneous rock unit of Al-Haruj Al-Aswad were interpreted using satellite image. The satellite image of Land sat bands from one tosevenhas captured by the Thematic Mapper (TM7) scanner. These imageswere processed and interpreted with following standard technique. Karhunen– Loèvetransform were employed to produce principalcomponent images. Then, they were paintedby using RGB color system to produce false color images from principal component images and ratio images. The resulted images were interpreted in the matter of geology of the area.Theprincipalcomponent transformation is helpful in mapping different lava flow phases in the area. This transform have used the correlation between the corresponding pixels in images of different bands. Six lava flow phases was interpreted depends on their color and shade in the processed satellite images. 

Since the last century, universities in developed countries have begun to work on technology transfer. Thus, the process of marketing the technologies discovered by those universities became an engine of economic growth, as these universities played a significant role in bringing innovative ideas to the market. Since then, technology transfer activities that were previously practiced by elite universities have received attention due to increasing university revenues, creating research links between academia and industry.

In this paper, we review the aspects related to the process of technology transfer in terms of its importance, and its model of work in universities, starting with the phase of discovering and evaluating the invention, the phase of patenting, and ending with the phase of marketing. The working mechanism of Technology Transfer Office (TTO) and the infrastructure necessary to establish these offices and the role of entrepreneurship and innovation centers in universities to perform their role effectively is also highlighted. The research aims to design an optimal dynamic and flexible model of the TTO at the University of Gharyan rearranging some traditional components and establish additional innovation pathways and make it more effective.

Keywords:Technology Transfer Office (TTO); Technological Transfer models; economic development.

Abstract

The rock units of Wadi El-shati were classified to group of clusters to explain the concentration of iron ore by using enhanced satellite image. The several images of single band of Thematic Mapper (TM7) of Landsat were combined to produce multispectral image bands. It was processed by group of filters after the false color image has been made. The filtered image was classified with unsupervised classification after the image ratio has been done by dividing band 3 on band1. Finally, we reached the classified image has concentration of iron tone.