Emira, A. A., A. Valdes-Garcia, B. Xia, A. N. Mohieldin, A. Valero, S. T. Moon, C. Xin, and E. Sánchez-Sinenco,
"Chameleon: A Dual-Mode Bluetooth/802.11b Receiver",
IEEE Dallas Circuits and Systems Workshop, Richardson, Texas, March, 2004.
El-Wakeel, M., A. El-Bastawissy, M. Boshra, and A. Fahmy,
"Object Oriented Design Quality Models – A Survey",
the 2nd International Conference on Informatics and Systems (INFOS04), Cairo university, Faculty of computers and information, March, 2004.
Khalil, E. E., and R. A. Kameel,
"On The Modelling Of Transient Combustion And Heat Transfer Characteristics In Furnaces",
ASME POWER 04, Baltimore, PWR2004-52123,, Baltimore,USA, March, 2004.
Azab, A. M., N. F. Youssef, and M. F. Abadir,
"The use of tannery wastewater in the manufacture of clay bricks ",
19th Int. Conf. On Solid Waste Technology and Management , Philadelphia, PA, US, March, 2004.
Hassanien, A. E., J. M. H. Ali, and H. Nobuhara,
"Detection of Spiculated Masses in Mammograms Based on Fuzzy Image Processing.",
Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, , Zakopane, Poland, Volume 3070/2004, 1002-1007, June 7-11, 2004.
AbstractThis paper presents an efficient technique for the detection of spiculated massesin the digitized mammogram to assist the attending radiologist in making his decisions. The presented technique consists of two stages, enhancement of spiculation masses followed by the segmentation process. Fuzzy Histogram Hyperbolization (FHH) algorithm is first used to improve the quality of the digitized mammogram images. The Fuzzy C-Mean (FCM) algorithm is then applied to the preprocessed image to initialize the segmentation. Four measures of quantifying enhancement have been developed in this work. Each measure is based on the statistical information obtained from the labelled region of interest and a border area surrounding it. The methodology is based on the assumption that target and background areas are accurately specified. We have tested the algorithms on digitized mammograms obtained from the Digital Databases for Mammographic Image Analysis Society (MIAS).
Kholaif, A., M. Fayek, H. Eissa, and H. Baraka,
"Integrated Security Measures for IEEE 802.11 Wireless Local Area Networks (WLANs)",
22nd Biennial Symposium on Communications, Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada, June 3, 2004.
Emira, A. A., A. Valdes-Garcia, B. Xia, A. N. Mohieldin, A. Valero, S. T. Moon, C. Xin, and E. Sánchez-Sinencio,
"A Dual-mode Direct Conversion Bluetooth/802.11b Receiver",
IEEE Radio Frequency Integrated Circuits Conference, Fort Worth, Texas, June, 2004.
Kameel, R. A., and E. E. Khalil,
"Energy Efficient Design & Performance Of Air Conditioned Systems In Buildings In Egypt”, ",
Paper Ke1, Proceedings, HEFAT 2004, June 2004., South Africa, June, 2004.
Khalil, E. E.,
"Water Desalination Technology Development In Egyptian Coastal Areas”,",
Paper Ke2, Proceedings, HEFAT 2004, June 2004, South Africa, June, 2004.
Khalil, E. E., and R. A. Kameel,
"“Numerical Investigations Of Time Dependent Turbulent Swirling Flame Characteristics In 3-D Furnaces",
AIAA Thermophysics, Portland, AIAA-2004-2383, Portland,USA, June, 2004.
Shaalan, K., M. El-Badry, and A. Rafea,
"A multiagent approach for diagnostic expert systems via the internet",
Expert Systems with Applications, vol. 27, no. 1, Tarrytown, NY, USA, Pergamon Press, Inc., pp. 1–10, jul, 2004.
AbstractIn recent years there has been considerable interest in the possibility of building complex problem solving systems as groups of co-operating experts. This has led us to develop a multiagent expert systems capable to run on servers that can support a large group of users (clients) who communicate with the system over the network. The system provides an architecture to coordinate the behavior of several specific agent types. Two types of agents are involved. One type works on the server computer and the other type works on the client computers. The society of agents in our system consists of expert systems agents (diagnosis agents, and a treatment agent) working on the server side, each of which contains an autonomous knowledge-based system. Typically, agents will have expertise in distinct but related domains. The whole system is capable of solving problems, which require the cumulative expertise of the agent community. Besides to the user interface agent who employs an intelligent data collector, so-called communication model in KADS, working on the client sides. We took the advantage of a successful pre-existing expert systems—developed at CLAES (Central Laboratory for Agricultural Expert Systems, Egypt)—for constructing an architecture of a community of cooperating agents. This paper describes our experience with decomposing the diagnosis expert systems into a multi-agent system. Experiments on a set of test cases from real agricultural expert systems were preformed. The expert systems agents are implemented in Knowledge Representation Object Language (KROL) and JAVA languages using KADS knowledge engineering methodology on the WWW platform.
Khalil, E. E.,
"),“Requirements Of Air-Conditioning Systems’ Developments In Hospitals And Critical Healthcare Facilities: Comfort, Air Quality, And Energy Utilization,",
Proc.2nd BSME-ASME International Conference On Thermal Engineering, Dhaka, Bangaladish, January, 2004.