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| 1 | Network analysis of Chinese air transport delay propagation显示文摘The Chinese air transport system has witnessed an important evolution in the last decade,with a strong increase in the number of flights operated and a consequent reduction of their punctuality.In this contribution,we propose modelling the process of delay propagation by using complex networks,in which nodes are associated to airports,and links between pairs of them are assigned when a delay propagation is detected.Delay time series are analysed through the wellknown Granger Causality,which allows detecting if one time series is causing the dynamics observed in a second one.Results indicate that delays are mostly propagated from small and regional airports,and through flights operated by turbo-prop aircraft,These insights can be used to design strategies for delay propagation dampening,as for instance by including small airports into the system's Collaborative Decision Making. | Massimiliano Zanin Seddik Belkoura Zhu Yanbo | 2017 | Chinese Journal of Aeronautics2017，30，2： | 5 |
| 2 | EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms显示文摘The visual analysis of common neurological disorders such as epileptic seizures in electroencephalography(EEG) is an oversensitive operation and prone to errors,which has motivated the researchers to develop effective automated seizure detection methods.This paper proposes a robust automatic seizure detection method that can establish a veritable diagnosis of these diseases.The proposed method consists of three steps:(i) remove artifact from EEG data using Savitzky-Golay filter and multi-scale principal component analysis(MSPCA),(ii) extract features from EEG signals using signal decomposition representations based on empirical mode decomposition(EMD),discrete wavelet transform(DWT),and dual-tree complex wavelet transform(DTCWT) allowing to overcome the non-linearity and non-stationary of EEG signals,and(iii) allocate the feature vector to the relevant class(i.e.,seizure class 'ictal' or free seizure class 'interictal') using machine learning techniques such as support vector machine(SVM),k-nearest neighbor(k-NN),and linear discriminant analysis(LDA).The experimental results were based on two EEG datasets generated from the CHB-MIT database with and without overlapping process.The results obtained have shown the effectiveness of the proposed method that allows achieving a higher classification accuracy rate up to 100% and also outperforms similar state-of-the-art methods. | Itaf Ben Slimen Larbi Boubchir Zouhair Mbarki Hassene Seddik | 2020 | The Journal of Biomedical Research2020，34，3： | 3 |
| 3 | Coverless Image Steganography Based on Jigsaw Puzzle Image Generation显示文摘Current image steganography methods are working by assigning an image as a cover file then embed the payload within it by modifying its pixels,creating the stego image.However,the left traces that are caused by these modifications will make steganalysis algorithms easily detect the hidden payload.A coverless data hiding concept is proposed to solve this issue.Coverless does not mean that cover is not required,or the payload can be transmitted without a cover.Instead,the payload is embedded by cover generation or a secret message mapping between the cover file and the payload.In this paper,a new coverless image steganography method has been proposed based on the jigsaw puzzle image generation driven by a secret message.Firstly,the image is divided into equal rows then further divided into equal columns,creating blocks(i.e.,sub-images).Then,according to secret message bits and a proposed mapping function,each block will have tabs/blanks to get the shape of a puzzle piece creating a fully shaped jigsaw puzzle stego-image.After that,the generated jigsaw puzzle image is sent to the receiver.Experimental results and analysis show a good performance in the hiding capacity,security,and robustness compared with existing coverless image steganography methods. | Al Hussien Seddik Saad M.S.Mohamed E.H.Hafez | 2021 | Computers, Materials & Continua2021，，5： | 2 |
| 4 | ATM performance measurement in Europe,the US and China显示文摘Air traffic management(ATM) performance and the metrics used in its assessment are investigated for the first time across the three largest ATM world regions:Europe,the US and China.The market structure and flow management practices of each region are presented.A wide range of performance data across these three regions is synthesised.For topological and performance assessment,the notion of a 'sufficient' sample is often non-intuitive:many metrics may behave non-monotonically as a function of sampling fraction.Missing and under-developed metrics are identified,and the need for a balance between standardisation and flexibility is proposed.Longitudinal and cross-sectional metric trade-offs are identified. | Andrew Cook Seddik Belkoura Massimiliano Zanin | 2017 | Chinese Journal of Aeronautics2017，30，2： | 2 |
| 5 | Influence of a combination of expansive and shrinkage-reducing admixture on autoge- nous deformation and self-stress of silica fume high-performance concrete 显示文摘 | SEDDIK M M SUZUKI M SATO R | 2011 | Cement and Concrete Composites2011，25，1： | 1 |
| 6 | Analysis of carotid arterial Doppler signals using STFT and Wigner-Ville distribution(WVD)显示文摘 | AMINA Melle Seddik FETHI M Bereksi Reguig | 2009 | Journal of Mechanics in Medicine and Biology2009，9，1： | 1 |
| 7 | Transient analysis of HVD Cpower transmission systems显示文摘 | ABDEL-SALAM M SEDDIK H | 2004 | European Transactions on Electrical Power2004，14，3： | 1 |
| 8 | Sequential therapy versus standard triple-drug therapy for Helicobacter pylori eradication:aprospective randomized study显示文摘 | Seddik H Ahid S El Adioui T | 2013 | Eur J Clin Pharmacol2013，69，9： | 1 |
| 9 | Study of the role of interleukin-6 and highly sensitive C-reactive protein in diabetic nephropathy in type 1 diabetic patients显示文摘 | Shelbaya S Amer H Seddik S | 2012 | Eur Rev Med Pharmacol Sci2012，16，2： | 1 |
| 10 | Gastric bronchogenic cyst presenting as a submucosal mass:a case report显示文摘 | Seddik H Adioui T Rouibaa F | 2012 | J Med Case Rep2012，6，1： | 1 |
| 11 | Outage analysis and optimal power allocation for multinode relay networks 显示文摘 | Seddik K G Sadek A K Su W and Liu K J R | 2007 | IEEE Signal Processing Letters2007，14，6： | 1 |
| 12 | Distributed space-frequency coding over broadband relay channels显示文摘 | Seddik K G and Liu K J R | 2008 | IEEE Transactions on Wireless Communications2008，7，11： | 1 |
| 13 | Corrosion evaluation of recasting nonprecious dental alloys显示文摘 | Khamis E Seddik M | 1995 | Int Dent J1995，45，3： | 1 |
| 14 | Outage analysis and optimal power allocation for multi-node relay networks 显示文摘 | Seddik K G Sadek A K Su W Liu K J R | 2007 | IEEE Signal Processing Letters2007，14，6： | 1 |
| 15 | Study of the role of interleukin-6 and highly senstive C-reative protein in diabetic nephropathy in type 1 diabetic patients显示文摘 | Shelbaya S Amer H Seddik S | 2012 | Eur Rev Med Pharmacol Sci2012，16，2： | 1 |
| 16 | Study of the role of interleukin-6 and highly senstive C-reative protein in diabet- ic nephropathy in type 1 diabetic patients显示文摘 | Shelbaya S Amer H Seddik S | 2012 | Eur Rev Med Pharmacol Sci2012，16，2： | 1 |
| 17 | Corrosion evaluation of recasting non-precious dental alloys显示文摘 | Khamis E Seddik M | 1995 | Int J Dent1995，45，3： | 1 |
| 18 | Study of the role of interleukin-6 and highly sensitive C-reactive protein in diabetic nephropathy in type 1 diabetic patients 显示文摘 | Shelbaya S Amer H Seddik S | 2012 | Eur Rev Med Pharmacol Sci2012，16，2： | 1 |
| 19 | Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states显示文摘Epileptic seizures are known for their unpredictable nature.However,recent research provides that the transition to seizure event is not random but the result of evidence accumulations.Therefore,a reliable method capable to detect these indications can predict seizures and improve the life quality of epileptic patients.Seizures periods are generally characterized by epileptiform discharges with different changes including spike rate variation according to the shapes,spikes,and the amplitude.In this study,spike rate is used as the indicator to anticipate seizures in electroencephalogram(EEG) signal.Spikes detection step is used in EEG signal during interictal,preictal,and ictal periods followed by a mean filter to smooth the spike number.The maximum spike rate in interictal periods is used as an indicator to predict seizures.When the spike number in the preictal period exceeds the threshold,an alarm is triggered.Using the CHB-MIT database,the proposed approach has ensured92% accuracy in seizure prediction for all patients. | Itaf Ben Slimen Larbi Boubchir Hassene Seddik | 2020 | The Journal of Biomedical Research2020，34，3： | 1 |
| 20 | Corrosion evaluation of recasting non-precious dental alloys显示文摘 | KHAMIS E SEDDIK M | 1995 | International Dental Journal1995，45，： | 1 |
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