Nizar Dahir - Academia.edu (original) (raw)
Papers by Nizar Dahir
Journal of Computer Science, 2010
ABSTRACT Problem statement: In this study a skin disease diagnosis system was developed and teste... more ABSTRACT Problem statement: In this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Approach: Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. We used feed forward neural networks to classify input images to be psoriases infected or non psoriasis infected. Results: The system gave very encouraging results during the neural network training and generalization face. Conclusion: The aim of this worked to evaluate the ability of the proposed skin texture recognition algorithm to discriminate between healthy and infected skins and we took the psoriasis disease as example.
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Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS '12, 2012
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Proceedings of the Fifth International Workshop on Network on Chip Architectures - NoCArc '12, 2012
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ACM Transactions on Embedded Computing Systems, 2014
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2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2014
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Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014, 2014
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2011 IEEE/IFIP 19th International Conference on VLSI and System-on-Chip, 2011
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IET Computers & Digital Techniques, 2013
ABSTRACT This study proposes a new method for designing adaptive routing algorithms for three-dim... more ABSTRACT This study proposes a new method for designing adaptive routing algorithms for three-dimensional (3D) networks-on-chip (NoCs). This method is based on extending the existing 2D turn model adaptive routing to a 3D scenario. A 3D plane-balanced approach with maximal degree of adaptiveness is achieved by applying a well-defined set of rules for different strata of the 3D NoC. The proposed method is applicable to any of the turn models. In this study, the authors employ odd-even turn model as a basis for introducing the proposed strategy. Experimental results show that the new 3D odd-even turn model can achieve up to 28.5% improvement in performance over conventional 3D odd-even approach. The improvement is consistent for different traffic types and selection strategies. The proposed method enables a new avenue to explore adaptive approaches for future large-scale 3D integration.
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IEEE Transactions on Computers, 2000
ABSTRACT Power supply integrity has become a critical concern with the rapid shrinking feature si... more ABSTRACT Power supply integrity has become a critical concern with the rapid shrinking feature size and the ever increasing power consumption in nanometre scale integration. In particular, on-chip communication in platforms such as networks-on-chip (NoC) dictates the power dissipation and overall system performance in multicore systems and embedded computing architectures. These architectures require a dedicated tool for analyzing the power supply noise which must embed distinctive communication characteristics and spatial parameters. In this paper, we present a tool dedicated to determining the on-chip (VDD)(V_{DD})(VDD) drops due to communication workload in NoCs. This tool integrates a fast power grid model, an NoC simulator, an on-chip link model, and a microarchitectural power model for router. The model has been rigorously verified using SPICE simulations. The proposed model and tools are further exemplified through analyzing the impact of power supply noise for NoC links. Statistical timing analysis of NoC links in the presence of power supply noise was performed to evaluate the bit error rates (BERs). This work would enable better understanding of the tradeoffs existing in the design of NoCs, and the induced power supply noise due to on-chip communication. This understanding is crucial for the analysis of the quality of service (QoS) of communication fabrics in NoCs at the early design stages.
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ACM Transactions on Design Automation of Electronic Systems, 2013
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Journal of Computer Science, 2010
ABSTRACT Problem statement: In this study a skin disease diagnosis system was developed and teste... more ABSTRACT Problem statement: In this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Approach: Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. We used feed forward neural networks to classify input images to be psoriases infected or non psoriasis infected. Results: The system gave very encouraging results during the neural network training and generalization face. Conclusion: The aim of this worked to evaluate the ability of the proposed skin texture recognition algorithm to discriminate between healthy and infected skins and we took the psoriasis disease as example.
Bookmarks Related papers MentionsView impact
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS '12, 2012
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Proceedings of the Fifth International Workshop on Network on Chip Architectures - NoCArc '12, 2012
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ACM Transactions on Embedded Computing Systems, 2014
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2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2014
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Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014, 2014
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2011 IEEE/IFIP 19th International Conference on VLSI and System-on-Chip, 2011
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IET Computers & Digital Techniques, 2013
ABSTRACT This study proposes a new method for designing adaptive routing algorithms for three-dim... more ABSTRACT This study proposes a new method for designing adaptive routing algorithms for three-dimensional (3D) networks-on-chip (NoCs). This method is based on extending the existing 2D turn model adaptive routing to a 3D scenario. A 3D plane-balanced approach with maximal degree of adaptiveness is achieved by applying a well-defined set of rules for different strata of the 3D NoC. The proposed method is applicable to any of the turn models. In this study, the authors employ odd-even turn model as a basis for introducing the proposed strategy. Experimental results show that the new 3D odd-even turn model can achieve up to 28.5% improvement in performance over conventional 3D odd-even approach. The improvement is consistent for different traffic types and selection strategies. The proposed method enables a new avenue to explore adaptive approaches for future large-scale 3D integration.
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IEEE Transactions on Computers, 2000
ABSTRACT Power supply integrity has become a critical concern with the rapid shrinking feature si... more ABSTRACT Power supply integrity has become a critical concern with the rapid shrinking feature size and the ever increasing power consumption in nanometre scale integration. In particular, on-chip communication in platforms such as networks-on-chip (NoC) dictates the power dissipation and overall system performance in multicore systems and embedded computing architectures. These architectures require a dedicated tool for analyzing the power supply noise which must embed distinctive communication characteristics and spatial parameters. In this paper, we present a tool dedicated to determining the on-chip (VDD)(V_{DD})(VDD) drops due to communication workload in NoCs. This tool integrates a fast power grid model, an NoC simulator, an on-chip link model, and a microarchitectural power model for router. The model has been rigorously verified using SPICE simulations. The proposed model and tools are further exemplified through analyzing the impact of power supply noise for NoC links. Statistical timing analysis of NoC links in the presence of power supply noise was performed to evaluate the bit error rates (BERs). This work would enable better understanding of the tradeoffs existing in the design of NoCs, and the induced power supply noise due to on-chip communication. This understanding is crucial for the analysis of the quality of service (QoS) of communication fabrics in NoCs at the early design stages.
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ACM Transactions on Design Automation of Electronic Systems, 2013
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