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  • Abbas Ali, Syed (författare)
  • WCET Analysis and Certification of Automatically Generated Code for CC-Systems AB
  • 2007
  • Rapport (övrigt vetenskapligt)abstract
    • In industry, certification of safety critical computer system is aiming to improve and project the safety of critical systems by following standards of design, development and manufacturing with professional responsibility.In the process of attaining certification we come across with different issues from inception till decommissioning, like which standard or standards are available and fit for product. Is process based certification enough for assuring system performance/reliability? What about legacy systems and how to certify them? Does the use of automated tools and code generation affect the certification? Which non-functional properties are useful for certification? Last but not least how useful is WCET analysis for certification along with the legal aspects of certification on component supplier, and metric for reliability?A case study of bridge panelÇs subsystem has been considered to suggest the solution of the above issues using the standards IEC 61508 and IEC 60945. IEC 61508 is a generic standard, but for safety industryÇs own standard are recommended. The targeted Safety Integrity Level for this product is SIL level 2, with respect to the software requirement.Certification does not guarantee, but they increases the chance that the product developed using the standards will be a safer product. The regulatory body also needed to be credible as it plays an important role by determining conformance with the standard and detail of the system.
  • Abbaspour, Sara, et al. (författare)
  • A Combination Method for Electrocardiogram Rejection from Surface Electromyogram
  • 2014
  • Ingår i: Open Biomedical Engineering Journal. - Netherlands : Bentham Science Publishers. - 1874-1207. ; 8:1, s. 13-19
  • Tidskriftsartikel (refereegranskat)abstract
    • The electrocardiogram signal which represents the electrical activity of the heart provides interference in the recording of the electromyogram signal, when the electromyogram signal is recorded from muscles close to the heart. Therefore, due to impurities, electromyogram signals recorded from this area cannot be used. In this paper, a new method was developed using a combination of artificial neural network and wavelet transform approaches, to eliminate the electrocardiogram artifact from electromyogram signals and improve results. For this purpose, contaminated signal is initially cleaned using the neural network. With this process, a large amount of noise can be removed. However, low-frequency noise components remain in the signal that can be removed using wavelet. Finally, the result of the proposed method is compared with other methods that were used in different papers to remove electrocardiogram from electromyogram. In this paper in order to compare methods, qualitative and quantitative criteria such as signal to noise ratio, relative error, power spectrum density and coherence have been investigated for evaluation and comparison. The results of signal to noise ratio and relative error are equal to 15.6015 and 0.0139, respectively.
  • Abbaspour, Sara, et al. (författare)
  • A comparison of adaptive filter and artificial neural network results in removing electrocardiogram contamination from surface EMG
  • 2012
  • Ingår i: ICEE 2012 - 20th Iranian Conference on Electrical Engineering. - IEEE. - 9781467311489 ; s. 1554-1557
  • Konferensbidrag (refereegranskat)abstract
    • Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment. These recordings are critically often contaminated by cardiac artifact. The purpose of this article was to evaluate the performance of an adaptive filter and artificial neural network (ANN) in removing electrocardiogram (ECG) contamination from surface EMGs recorded from the pectoralismajor muscles. Performance of these methods was quantified by power spectral density, coherence, signal to noise ratio, relative error and cross correlation in simulated noisy EMG signals. In between these two methods the ANN has better results.
  • Abbaspour, Sara, et al. (författare)
  • A comparison of adaptive neuro-fuzzy inference system and real-time filtering in cancellation ECG artifact from surface EMG
  • 2012
  • Ingår i: ICEE 2012 - 20th Iranian Conference on Electrical Engineering. - IEEE. - 978-146731148-9 ; s. 1558-1561
  • Konferensbidrag (refereegranskat)abstract
    • Electromyogram (EMG) is used in different applications such as diagnosis and treatment of diseases. Recorded EMG signals from upper trunk muscles are contaminated by electrocardiogram (ECG). Removal of the ECG artifact from surface EMG is not simple because their frequency content is much overlap. In this paper, we compare the results of adaptive Neuro fuzzy inference system (ANFIS) and real time filtering techniques. Finally performance of these methods is evaluated using qualitative criteria, power spectrum density and coherence and Quantitative criteria signal to noise ratio, relative error and cross correlation. The result of signal to noise ratio, relative error and cross correlation for better results (ANN) is equal to 13.274, 0.03 and %97respectively.
  • Abbaspour, Sara, et al. (författare)
  • Evaluation of wavelet based methods in removing motion artifact from ECG signal
  • 2015
  • Ingår i: IFMBE Proceedings. - 978-3-319-12966-2 ; s. 1-4
  • Konferensbidrag (refereegranskat)abstract
    • Accurate recording and precise analysis of the electrocardiogram (ECG) signals are crucial in the pathophysiological study and clinical treatment. These recordings are often corrupted by different artifacts. The aim of this study is to propose two different methods, wavelet transform based on nonlinear thresholding and a combination method using wavelet and independent component analysis (ICA), to remove motion artifact from ECG signals. To evaluate the performance of the proposed methods, the developed techniques are applied to the real and simulated ECG data. The results of this evaluation are presented using quantitative and qualitative criteria. The results show that the proposed methods are able to reduce motion artifacts in ECG signals. Signal to noise ratio (SNR) of the wavelet technique is equal to 13.85. The wavelet-ICA method performed better with SNR of 14.23.
  • Abbaspour, Sara, et al. (författare)
  • Web Service Response Time Monitoring : Architecture and Validation
  • 2011
  • Ingår i: Communications in Computer and Information Science Volume 164 CCIS, 2011. - 9783642249983 ; s. 276-282
  • Konferensbidrag (refereegranskat)abstract
    • Web services are used in many Web applications in order to save time and cost during software development process. To peruse Web service response time, a suitable tool is needed to automate the measurement of the response time. However, not many suitable tools are available for automatic measurement of response time. This research is carried out in the context of quality of Web services in order to measure and visualize Web service response time. The method proposed in this research for accomplishing this goal is based on creating a proxy for connecting to the required Web service, and then calculating the Web services response time via the proxy. A software tool is designed based on the proposed method in order to guide the implementation that is still in progress. The tool can be validated through empirical validation using three test cases for three different Web service access situations.
  • Abdul-Ahad, Amir Stefan, et al. (författare)
  • Robust distance-based watermarking for digital image
  • 2008
  • Ingår i: Proceedings of the 2008 International Conference on Security and Management, SAM 2008. - 160132085X - 9781601320858 ; s. 404-409
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, an algorithm is developed to invisibly watermark a cover object (color image) using watermark object (iconic image). The algorithm is based on the distances among the addresses of values of the cover object. These distances use to make the embedding. The order of manipulating these distances are specified by the values of the watermark data which is dealt with serially. The algorithm serves and achieves self encryption key. Each watermark object has its unique pattern of distances at different possible lengths of distance bits. This enhances the complexity of sequential embedding. The algorithm is tested using direct and single level and double level of Two-Dimensional Discrete Wavelet Transform (2D DWT) embeddings. Two important issues are addressed. Firstly is to achieve a high Peak Signal to Noise Ratio (PSNR). The ratio was found to increase with an increasing of distance bits. Secondly is that the watermarked object retains the same properties of cover object. The algorithm shows resisting and withstanding against the most important attacks. Some of these include the lossy compression, blurring, resize and some types of Noise.
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