Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation

Meeting application requirements under a tight power budget is of a primary importance to enable connected health internet of things applications. This paper considers using sparse representation and well-defined inequality indexes drawn from the theory of inequality to distinguish ventricular ectopic beats (VEBs) from non-VEBs. Our approach involves designing a separate dictionary for each arrhythmia class using a set of labeled training QRS complexes. Sparse representation, based on the designed dictionaries of each new test QRS complex is then calculated. Following this, its class is predicted using the winner-takes-all principle by selecting the class with the highest inequality index. The experiments showed promising results ranging between 80% and 100% for the detection of VEBs considering the patient-specific approach, 80% using cross validation and 70% on unseen data using independent sets for training and testing, respectively. An efficient hardware implementation of the alternating direction method of multipliers algorithm is also presented. The results show that the proposed hardware implementation can classify a QRS complex in 69.3 ms that use only 0.934 W energy

The role of intellectual capital as a requirement for a successful transition to e-governance- Case study of the regional agency for social development ADS - Annaba-

هدفت الدراسة إلى إبراز وتوضيح دور رأس المال الفكري كمطلب استراتيجي لتطبيق الإدارة الالكترونية في وكالة التنمية الاجتماعية -ADS- ولتحقيق هذا الهدف استخدم الباحثين استبيان تكون من 23  فقرة موزعة على أربعة مجالات ) رأس المال البشري، رأس مال الهيكلي، رأس المال العلاقاتي، الإدارة الالكترونية(، وذلك لغرض جمع البيانات، وبعد التأكد من صدقها و تباتها تم توزيعها على عينة المجتمع والتي بلغ عددها 53، وتم اختبار الفرضيات باستخدام أسلوب الانحدار الخطي المتعدد . قد خلصت الدراسة إلى أنه يوجد أثر إيجابي وعلاقة موجبة لمكونات رأس المال الفكري )رأس المال البشري، رأس المال العلاقاتي( على إنجاح عملية تحول المؤسسة نحو الإدارة الالكترونية، مما يؤدي إلى تميز وتفوق المؤسسات في تقديم خدمات أفضل وذات جودة أعلى، يساعدها في تحقيق أهدافها وتلبية احتياجات ورغبات المتعاملين، بينما لا يوجد أثر وعلاقة لمكون رأس المال الفكري المتمثل في رأس المال الهيكلي على إنجاح عملية تطبيق الإدارة الالكترونية بالمؤسسة محل الدراسة.The aim of the study was to highlight and clarify the role of intellectual capital as a strategic requirement for the application of e-governance in the social development agency (ADS). To achieve this goal, researchers used a questionnaire, which would be 23-paragraph in four areas). Human capital, structural capital, relationship capital, e-governance) For the purpose of data collection, after confirmation of veracity and data was distributed to the 53 community samples, and hypotheses were tested using the multiple linear regression method.               The study concluded that there was a positive effect and a positive relationship of components of intellectual capital)Human Capital, Relationship Capital (on the successful transformation of the enterprise towards e-governance, resulting in the excellence and excellence of enterprises in providing better and higher quality services, helping them to achieve their objectives and meet the needs and wishes of clients, while the intellectual capital component of structural capital has no bearing on the successful application of e-governance to the enterprise in question

Use of electronic academic counseling The electronic platform - ershad a model

يمثل الإرشاد الأكاديمي الركيزة الأساسية التي من خلالها يتم تعريف الطلاب بالأنظمة واللوائح الدراسية ومساعدتهم في التقدم الدراسي والتغلب على ما يعترضهم من مشكلات وصعوبات اجتماعية أو نفسية أو صحية أو أكاديمية. ومع التغيرات التكنولوجية الحديثة برز تحدي جديد للإرشاد الأكاديمي وهو استغلال التكنولوجيا في تقديم الخدمات الإرشادية، الأمر الذي سمح بظهور تطبيقات ومنصات الكترونية جامعية تقدم العديد من الخدمات الإرشادية.Academic counseling is the main pillar through which students are introduced to the academic rules and regulations and assist them in their academic progress and overcome the social, psychological, health, or academic problems and difficulties they encounter. With the recent technological changes, a new challenge has emerged for academic counseling, which is the exploitation of technology in providing counseling services, which allowed the emergence of university electronic applications and platforms providing many extension services

The causal relationship between trade openness and economic growth of Algeria in the period 1990-2018 using causality Toda Yamamoto (TYDL)

هدفت الدراسة الى اختبار العلاقة السببية طويلة الأجل بين الانفتاح التجاري والنمو الاقتصادي باستخدام منهجية (TYDL) لحالة الجزائر خلال الفترة 1990-2018، ولتحقيق هذه الهدف تم الحصول على بيانات سنوية لكل من متغير الانفتاح التجاري (Open) ومتغير النمو الاقتصادي (Cro)، وباتباع خطوات منهجية (TYDL) والتي تعتمد بالأساس على اختبار والد الموسع  (MWALD)توصلت الدراسة إلى وجود علاقة سببية في اتجاه واحد فقط  تتجه من الانفتاح التجاري نحو النمو الاقتصادي وغياب العلاقة السببية في الاتجاه المعاكس، من جهة أخرى خلصت الدراسة إلى أن النمو الاقتصادي للجزائر لا يستفيد كثيرا من الانفتاح التجاري في ظل وحدوية التصدير.The study aimed to test the long-term causal relationship between trade openness and economic growth using the TYDL methodology for the case of Algeria during the period 1990-2018, and to achieve this goal annual data were obtained for both the open trade (Open) variable and the economic growth variable (Cro), and by following Methodological steps (TYDL), which mainly depend on the test of the WALD of the enlarged (MWALD). The study found that there is a causal relationship in one direction only from the trade openness towards economic growth and the absence of the causal relationship in the opposite direction. On the other hand, the study concluded that the economic growth of Algeria does not it benefits greatly from trade openness in light of the unitary export

Classification of retinal images based on statistical moments and principal component analysis

Early diagnosis of Diabetic Retinopathy (DR) has been suggested as a good measure of preventing blindness associated with Diabetes. Some of the reported methodologies of Retinal Images (RI) classification for early diagnosis of DR have been shown to involve several steps and approaches for effective and accurate diagnosis. Thus, this paper investigates the classification of RI using a two-stage procedure. The first stage includes the extraction of blood vessels from RI belonging to healthy and diabetes retinal images using a modified local entropy thresholding algorithm. In the second stage, different features are extracted including statistical moments and principal components. The set of extracted features is combined into one feature vector and fed into a Sequential Minimal Optimization (SMO) classifier. The obtained result is encouraging with an average accuracy of 68.33 %

Analysis of the ECG signal using SVD-based parametric modelling technique

A new parametric modeling technique for the analysis of the ECG signal is presented in this paper. This approach involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter. Each projected value is then weighted by the corresponding singular value, leading to an approximated sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the EDS model parameters. Prony's algorithm is first used to obtain initial estimates of the model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. The performance of the proposed model is evaluated on abnormal clinical ECG data selected from the MIT-BIH database using objective measures of distortion. A good compression ratio per beat has been obtained using the proposed algorithm which is quite satisfactory when compared to other techniques

Analysis of the ECG signal using SVD-based parametric modelling technique

A new parametric modeling technique for the analysis of the ECG signal is presented in this paper. This approach involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter. Each projected value is then weighted by the corresponding singular value, leading to an approximated sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the EDS model parameters. Prony's algorithm is first used to obtain initial estimates of the model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. The performance of the proposed model is evaluated on abnormal clinical ECG data selected from the MIT-BIH database using objective measures of distortion. A good compression ratio per beat has been obtained using the proposed algorithm which is quite satisfactory when compared to other techniques

le rôle des technologies de l'information qui soutiennent la gestion des connaissances dans la création d'un avantage concurrentiel étude de cas Banques exploitation (wilaya d’Annaba)

Cette étude vise à mettre en évidence le rôle de la technologie d'information aide pour la gestion des connaissances et de son rôle dans la création d'un avantage concurrentiel, et pour atteindre cet objectif, nous avons une étude de terrain sur un échantillon de banques commerciales opérant (wilaya d’Annaba), à travers la conception d'un questionnaire et distribué comme le nombre de répondants (92) employés, et cela pour connaître leur point de vue à propos de la contribution de ce type de technologie dans le succès du processus de gestion des connaissances(création, le stockage, la distribution et l'application), et le rôle important qu'ils jouent dans la création un des établissements distingués, l'étude a révélé plusieurs résultats, notamment la présence d'un impact positif de la technologie d'information aide pour la gestion des connaissances dans la création d'un avantage concurrentiel pour la banque, à la lumière de ces résultats, il est recommandé la nécessité de travailler pour fournir le nécessaire matériel et des logiciels pour faciliter les opérations, et d'accroître la sensibilisation parmi le personnel de l'importance du travail d'équipe (Group work) à travers le réseau interne (intranet) et reposent sur des systèmes d'intelligence artificielle pour appuyer la prise de décisions et obtenir un avantage concurrentiel

Efficient Pre-Designed Convolutional Front-End for Deep Learning

2019 IEEE. This paper introduces a hierarchical learning paradigm based on a predesigned directional filter bank front-end analogous to the energy model for complex cells. The filter bank front-end is designed to extract common primitive features such as orientations and edges. Each energy response is subjected to a shunting inhibition operator to enhance contrast and reduce the effects of illumination variations. This is followed by a divisive-normalization, which bounds the responses of the feature maps. The normalized responses are then propagated through a two-layer convolutional neural network (CNN) back-end for classification. The efficiency of the proposed approach is demonstrated using the CIFAR-10 dataset, and its performance is compared against that of the DTCWT ScaterNet front-end