{"title":"Analogue Behavioural Modelling of Integrated Sensors","authors":"B. Nikolova, G. Nikolov, M. Hristov","doi":"10.1109/ICCES.2006.320433","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320433","url":null,"abstract":"Fully signal conditioned single chip sensors offer several advantages over discrete sensors with interface electronics. These devices have good to excellent linearity and system designers realize many advantages when using this monolithic sensors for new applications. Unfortunately there is insufficiency of models describing electrical behaviour of such integrated sensors. In order to simulate this devices with modern electronic design automation tools the implementation of accurate SPICE oriented models, is imperative. In this paper a design methodology for analogue behaviour modelling is presented. Following the suggested approach the basic structure of the integrated sensor is invented. In such a way pressure, humidity and temperature sensors are modelled and their base operating characteristics are simulated. The appended results pointed to sufficient fitting between simulated and data sheet's parameters. The suggested design methodology can be successfully adopted and applied to describe the behaviour of other devices converting any physical phenomena into voltage","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed S. Seleem, Hossam M. A. Fahmy, Hossam Osman, Hussein I. Shahein
{"title":"Enhanced Bandwidth Reconfiguration for On-Demand QoS Path Framework","authors":"Mohammed S. Seleem, Hossam M. A. Fahmy, Hossam Osman, Hussein I. Shahein","doi":"10.1109/ICCES.2006.320465","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320465","url":null,"abstract":"This paper proposes an enhancement to a novel end-to-end QoS framework that has been recently introduced in the literature and referred to as the on demand QoS path (ODP). The ODP provides the end-to-end QoS guaranty of the integrated service (IntServ) while keeping the scalability nature of the differentiated service (DiffServ). The proposed enhancement, named E-ODP, efficiently reconfigures network bandwidth through the utilization of the self-similarity feature of network traffic. Specifically, bandwidth reconfiguration is handled using traffic prediction, fuzzy control, and adaptive learning. Simulation results are presented. They demonstrate a significant and persistent improvement in network utilization","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Biometric Personal Identification Based on Iris Recognition","authors":"S.M. Elsherief, M.E. Allam, M. Fakhr","doi":"10.1109/ICCES.2006.320449","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320449","url":null,"abstract":"With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the 1990s. Iris recognition, as an emerging biometric recognition approach is becoming a very active topic in both research and practical applications. Iris recognition is the process of recognizing a person by analyzing the apparent pattern of his or her iris. A typical iris recognition system includes iris imaging, iris detection, feature extraction and recognition. In this paper, we illustrate the existing techniques utilized at the different stages of the iris recognition process and evaluate their performance. In addition, we explore additional techniques to improve performance","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114162156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hassan A. Yousef, E. El-Madbouly, D. Eteim, Mohamed Hamdy
{"title":"Adaptive Fuzzy Decentralized Control for a Class of Large-Scale Nonlinear Systems with MIMO Subsystems","authors":"Hassan A. Yousef, E. El-Madbouly, D. Eteim, Mohamed Hamdy","doi":"10.1109/ICCES.2006.320420","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320420","url":null,"abstract":"This paper presents a fuzzy basis function approach for adaptive decentralized control of a class of large-scale nonlinear systems with MIMO subsystems. Hybrid adaptive-robust tracking control schemes which are based on a combination of the HT tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and the HT tracking control performance is guaranteed. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant decentralized control with multi-controller architecture guarantee stability and convergence of the output errors to zero asymptotically, by local output-feedback. Simulation results on the control of a model of a nonlinear electrical machine are presented to illustrate the effectiveness of the proposed controller","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130795577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ultra-Wideband Communications with BCH Errors-and-Erasures Decoding","authors":"H. Chen, T. Gulliver, W. Li","doi":"10.1109/ICCES.2006.320461","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320461","url":null,"abstract":"Ultra-wideband (UWB) is an emerging technology for high speed short-range wireless communications. It has many attractive advantages such as high data rates, robustness to multipath fading and coexistence with narrowband wireless systems. Error control coding is an essential component of a wireless communications system. In this paper, we employ Bose-Chaudhuri-Hocquenghem (BCH) codes in a UWB system. Both errors-only and and errors-and-erasures decoding are considered. Performance results are presented and evaluated for a direct sequence spread spectrum pulse position modulation (DS-SS PPM) UWB system over an additive white Gaussian noise (AWGN) channel with multiple-access interference","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Diagnosis of Liver Diseases from Ultrasound Images","authors":"Abou Sayed Abou Zaid, M. Fakhr, Ahmed Ali Mohamed","doi":"10.1109/ICCES.2006.320467","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320467","url":null,"abstract":"Ultrasound is a widely used medical imaging technique. Tissue characterization with ultrasound has become important topic since computer facilities have been available for the analysis of ultrasound signals. Automatic liver tissue characterizations from ultrasonic scans have been long the concern of many researchers. Different techniques has been used ranging from processing the RF signals received by the transducer to using neural networks to analyze images based on image texture. In this paper, an automatic liver diseases diagnostic system is implemented for early detection of liver diseases. The proposed system classification accuracy is 96.125%. The system advantage is its high accuracy and its computation simplicity. The system can be used as a second opinion system to aid the diagnosis of liver diseases","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring Serial Communications in Microcontroller Based Embedded Systems","authors":"M. Popa, A. Popa, V. Cretu, M. Micea","doi":"10.1109/ICCES.2006.320425","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320425","url":null,"abstract":"More and more microcontrollers are embedded in a large area of products from industrial to domestic domains. A good example is the automobile, a modern one containing tens of microcontrollers. As their number increased the communication between them became necessary. The serial solution was preferred and a lot of serial buses and protocols were developed optimizing different parameters of the communication. Several examples are: RS232, LIN, SPI, CAN and so on. Monitoring serial communications is necessary in R&D phase, e.g. for creating virtual transfer partners, and in testing and debugging phases. The paper describes a message based monitoring tool for the RS232 bus and monitoring tools for the LIN and SPI buses. Many microcontrollers contain the LIN and SPI buses and almost all of them include the RS232 bus. The created tools work in passive mode, monitoring the transfers and sending the data to a PC or in active mode (only for the LIN bus), interfering in the communication and sending headers, responses or injecting typical errors","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genetically Programmed Pattern Matching for Overlapping Patterns","authors":"N. Nedjah, L. de Macedo Mourelle","doi":"10.1109/ICCES.2006.320482","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320482","url":null,"abstract":"Pattern matching is a fundamental feature in many applications such as functional programming, logic programming, theorem proving, term rewriting and rule-based expert systems. Usually, patterns size is not constrained and ambiguous patterns are allowed. This generality leads to a clear and concise programming style. However, it yields challenging problems in compiling of such programming languages. Generally, patterns are pre-processed into a deterministic finite automaton. With ambiguous or overlapping patterns a subject term may be an instance of more than one pattern. In this case, pattern matching order in lazy evaluation affects the size of the matching automaton and the matching time. Furthermore, it may even affect the termination properties of term evaluations. In this paper, we engineer good traversal orders that allow one to design an efficient adaptive pattern-matchers that visit necessary positions only. We do so using genetic programming to evolve the most adequate traversal order given the set of allowed patterns. Hence, we improve time and space requirements of pattern-matching as well as termination properties of term evaluation","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124558978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer Aided Diagnosis of Cardiac Arrhythmias","authors":"Marwa M. A. Hadhoud, M. Eladawy, A. Farag","doi":"10.1109/ICCES.2006.320458","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320458","url":null,"abstract":"The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), autoregressive modeling (AR), and principal component analysis (PCA). The used classifier is artificial neural networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083% compared to 84.4% for the reference that work on a similar data","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Triliteral Word Roots Extraction Using Neural Network For Arabic","authors":"Hasan Muaidi Al-Serhan, A. Ayesh","doi":"10.1109/ICCES.2006.320487","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320487","url":null,"abstract":"Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using backpropagation neural network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125929530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}