Mulhim Al-Doori

Modeling and Managing Topology for 3-D Track Planning Applications

Topology plays a central role in the modelling and management of n-d geo-information. However, hitherto the standardization of n-d topological data models is still at its beginning. A general model based on oriented hierarchical d-Generalised Maps is proposed to handle topology in object-oriented geo-database management systems. The implementation of the approach is demonstrated as module in DB4GeO, our service-oriented 3-d geo-database architecture. A 3-d tracks planning application example in the city of Munich is presented demonstrating the usage of the n-d topological model. Finally, an outlook on our ongoing 3-d geoinfo research in the Dubai region is given.

Temporal and Spatial Database Support for Geothermal Sub-surface Applications

Geothermal energy production from the deep subsurface requires a detailed knowledge of the relevant static and transient parameter distribution in the reservoir and host rock. In reservoir exploration, engineering and operation phases, both temporal and spatial subsurface parameters are acquired, evaluated and monitored in order to improve the reservoir performance. To support temporal and spatial data access to geothermal data sources, an efficient 3D/4D GIS is proposed in this study. We discuss theoretical and first practical approaches for the management of such temporal and spatial geothermal data. A first practical example is provided using the data acquired in the Soultz-sous-Forets geothermal project (France). A distributed software architecture, database design, and the concept for advanced query component with embedded simulations are presented. Finally, we give an outlook on the planned future research in 3D data management of subsurface, near-surface, and above-surface installations in other projects.

Artifical immune system using Genetic Algorithm and decision tree

Artificial immune system (AIS) is considered as an adaptive computational intelligence method that could be used for detecting and preventing current computer network threats. AIS generates Antibodies (self) competent in recognizing Antigen (non-self), which is considered as an anomaly technique. This paper aims to develop artificial immune system (AIS) that consists of two levels. Level one is developed using Genetic Algorithm, while level two is developed using C4.5 decision tree algorithm. The proposed system trained with clustered features that are selected from NSL-KDD cup data-set. Each level produces two antibodies (that could recognize Normal and Antigen access-records). The recognition accuracy of the developed system reaches 96%. The behavior of each level is studied. The best feature-set that suits each level is specified.

3D Geoinformation Science

Nowadays 3D Geoinformation is needed for many planning and analysis tasks. For example, 3D city and infrastructure models are paving the way for complex environmental and noise analyzes. 3D geological sub-surface models are needed for reservoir exploration in the oil-, gas-, and geothermal industry. Thus 3D Geoinformation brings together researchers and practitioners from different fields such as the geo-sciences, civil engineering, 3D city modeling, 3D geological and geophysical modeling, and, last but not least, computer science. The diverse challenges of 3D Geoinformation Science concern new approaches and the development of standards for above- and under-ground 3D modeling, efficient 3D data management, visualization and analysis. Finally, the integration of different 3D approaches and data models is seen as one of the most important challenges to be solved.

Novel Three-Dimensional Embedded FPGA Technology and Achitecture

In this paper we present a high density three-dimensional (3D) interconnect network implementation based on a modified Mesh-of-Trees (MoT) topology for an embedded FPGA architecture design targeted for high performance 3D integration. To obtain the optimal MoT-based interconnect structure, the routing architecture of the 2D MoT-based FPGA is modified to include long routing segments that span multiple switch blocks in every row and column. By adjusting the percentage of long wire and span, a 2.5D or 3D high density MoT-based embedded FPGAs can be designed. For the 3D multi-stacked MoT-based FPGAs, the 2D MoTbased FPGA is sliced into two or more equal sections by adjusting the length of the long wire span. The long wire segments are realized using 3D through silicon via (TSVs) and 2.5D interposer-based multi-FPGAs, we increase the number of cuts and apply appropriate optimization models to scale down the number of long wires and horizontal inter-FPGA interposer wires. Using our 2.5/3D CAD models, we demonstrate the speed and area of 3D MoT-based FPGA architecture improved by 54% and 41% respectively in comparison to 3D Mesh-based FPGAs.