My scientific interests include: large-scale machine learning and pattern recognition, basketball, numerical optimization, and eating pizza with friends.
Monday, April 28, 2008
New P2P 10G Ethernet Wireless System
The TereScope® TS-10GE is a system introduced by a leader in optical networking products: MRV Communications, Inc. This system is the first wireless 10-Gigabit Ethernet system designed at the industry. It has been named as one of the Best of Interop Finalist in the Wireless and Mobility category. TereScope provides a cost-effective and high-bandwidth wireless solution for all the industry and the enterprise, extending backbone networks between multiple buildings without a need for sophisticated antenna arrays, rights-of-way or a fiber-optic cable plant. Read more.
Monday, April 14, 2008
Thursday, January 31, 2008
UTEP Admission Letter
Wednesday, August 15, 2007
A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors
A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors
By Pablo Rivas Perea
Abstract— This paper presents a new approach aimed to design a fuzzy face recognition system. Face feature lines, new features proposed in the paper, are incorporated in the feature vector used to design the patter recognition system. Face feature lines are considered as new features based on previous studies related to
face recognition tasks on newborns. Besides the face feature lines the feature vector incorporates eigenvectors of the face image obtained with the Karhunen-Loeve transformation. The fuzzy face recognition system is based on the Gath-Gheva fuzzy clustering method and the Abonyi and Szeifert classification scheme. The performance of the face recognition system turned out to be 90% of correct classification tested on the ORL and Yale databases.
Index Terms—Face Recognition, Face Feature Lines, Fuzzy
Clustering.
Published for the Journal: Engineering Letters, 15:1, EL_15_1_6
Download PDF
EL_15_1_6.pdf (application/pdf Object)
By Pablo Rivas Perea
Abstract— This paper presents a new approach aimed to design a fuzzy face recognition system. Face feature lines, new features proposed in the paper, are incorporated in the feature vector used to design the patter recognition system. Face feature lines are considered as new features based on previous studies related to
face recognition tasks on newborns. Besides the face feature lines the feature vector incorporates eigenvectors of the face image obtained with the Karhunen-Loeve transformation. The fuzzy face recognition system is based on the Gath-Gheva fuzzy clustering method and the Abonyi and Szeifert classification scheme. The performance of the face recognition system turned out to be 90% of correct classification tested on the ORL and Yale databases.
Index Terms—Face Recognition, Face Feature Lines, Fuzzy
Clustering.
Published for the Journal: Engineering Letters, 15:1, EL_15_1_6
Download PDF
EL_15_1_6.pdf (application/pdf Object)
Friday, November 10, 2006
“Slimmer” Security Mobile Agent for user authentication in an 802.11 WLAN network environment.
IEEE Proceedings of the 2003 International Conference on Informatics, Cybernetcs and Systems. December 14-16, 2003. I-Shou University, Kaohsiung, Taiwan. ROC
Abstract
The each time increasing “Parking lot” attacks to 802.11 WLAN based wireless networks, are evidence of the security backbones vulnerability. On the other hand, 802.15 Bluetooth networks have more security engineering support because they have been better sponsored. This is the reason why Bluetooth is a wireless transmission standard more reliable than 802.11 WLAN. Despite the fact that the strength of WLAN (802.11) cannot be compared with that of PAN (802.15 Bluetooth) networks, for they were created for different purposes, in both cases security is an important factor and it is on this that I will prove my ability to find an optimum solution. This document proposes an algorithm to guide network security engineers to make an optimum implementation of a security mobile agent for authentication of 802.11 wireless
networks called “Slimmer”.
Keywords: Mobile Agents, WLAN, Mobile
Computing, 802.11, Security
Download PDF
Abstract
The each time increasing “Parking lot” attacks to 802.11 WLAN based wireless networks, are evidence of the security backbones vulnerability. On the other hand, 802.15 Bluetooth networks have more security engineering support because they have been better sponsored. This is the reason why Bluetooth is a wireless transmission standard more reliable than 802.11 WLAN. Despite the fact that the strength of WLAN (802.11) cannot be compared with that of PAN (802.15 Bluetooth) networks, for they were created for different purposes, in both cases security is an important factor and it is on this that I will prove my ability to find an optimum solution. This document proposes an algorithm to guide network security engineers to make an optimum implementation of a security mobile agent for authentication of 802.11 wireless
networks called “Slimmer”.
Keywords: Mobile Agents, WLAN, Mobile
Computing, 802.11, Security
Download PDF
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