Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm

With the improvement of printing technology since the 15th century, there is a huge amount of printed documents published and distributed. These documents are degraded by the time and require to be preprocessed before being submitted to image indexing strategy, in order to enhance the quality of images. This paper proposes a new pre-processing that permits to denoise these documents, by using a Aujol and Chambolle algorithm. Aujol and Chambolle algorithm allows to extract meaningful components from image. In this case, we can extract shapes, textures and noise. Some examples of specific processings applied on each layer are illustrated in this paper

Effects of salinity and ascorbic acid on growth, water status and antioxidant system in a perennial halophyte

Salinity causes oxidative stress in plants by enhancing production of reactive oxygen species, so that an efficient antioxidant system, of which ascorbic acid (AsA) is a key component, is an essential requirement of tolerance. However, antioxidant responses of plants to salinity vary considerably among species. Limonium stocksii is a sub-tropical halophyte found in the coastal marshes from Gujarat (India) to Karachi (Pakistan) but little information exists on its salt resistance. In order to investigate the role of AsA in tolerance, 2-month-old plants were treated with 0 (control), 300 (moderate) and 600 (high) mM NaCl for 30 days with or without exogenous application of AsA (20 mM) or distilled water. Shoot growth of unsprayed plants at moderate salinity was similar to that of controls while at high salinity growth was inhibited substantially. Sap osmolality, AsA concentrations and activities of AsA-dependant antioxidant enzymes increased with increasing salinity. Water spray resulted in some improvement in growth, indicating that the growth promotion by exogenous treatments could partly be attributed to water. However, exogenous application of AsA on plants grown under saline conditions improved growth and AsA dependent antioxidant enzymes more than the water control treatment. Our data show that AsA-dependent antioxidant enzymes play an important role in salinity tolerance of L. stocksii.Higher Education Commission of Pakistan for provision of funds under a research grant entitled ‘Salt-induced Oxidative Stress: Consequences and Possible Management’

A very-low-speed sensorless control induction motor drive with online rotor resistance tuning by using MRAS scheme

A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive

Étude sur l’agriculture familiale à petite échelle au Proche-Orient et Afrique du Nord. Pays focus : Tunisie

International audienceEn Tunisie, l’agriculture familiale fait face à un grand nombre de contraintes et « court le risque d’une disparition pure et simple » (Amri, 2002) sous l’effet conjugué de plusieurs facteurs structurels: un morcellement important des exploitations, un vieillissement de la population rurale, un désintéressement des jeunes, -enfants d’exploitants agricoles-, qui voient dans l'agriculture un métier dévalorisant et fort peu lucratif alors que le taux de chômage avoisine 15,3% au troisième trimestre 2015. Les problèmes fonciers et le morcellement des parcelles posent le problème de financement de l'agriculture en limitant l'accès aux crédits. La présente étude sur l’agriculture familiale (AF) en Tunisie entre dans le cadre de l’initiative régionale de la FAO (objectif stratégique 3 portant sur la réduction de la pauvreté). Elle vise à analyser la place de l’AF et sa contribution dans l’économie agricole et rurale, les politiques publiques et en particulier les mesures d’appui qui lui sont dédiées. Elle a pour objectif de formuler des recommandations pouvant améliorer son fonctionnement et consolider ses fonctions économiques, sociales et environnementales. L’étude porte sur trois thèmes majeurs : les structures de production, la transition structurelle et les politiques publiques d’appui à l’agriculture familiale / aux petites exploitations. C’est au travers de ces trois axes d’analyse que seront traitées les informations ainsi que les études utilisées pour la rédaction de cette synthèse. La méthode s’appuie essentiellement sur la collecte et le traitement de l’information statistique disponible ainsi que sur des entretiens et des focus portant sur des études de cas déjà produites

The evaluation of tree performance after transplanting

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN012221 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition

International audienceIn recent years graph embedding has emerged as a promising solution for enabling the expressive, convenient, powerful but computa tional expensive graph based representations to benefit from mature, less expensive and efficient state of the art machine learning models of statistical pattern recognition. In this paper we present a comparison of two implicit and three explicit state of the art graph embedding methodologies. Our preliminary experimentation on different chemoinformatics datasets illustrates that the two implicit and three explicit graph embedding approaches obtain competitive performance for the problem of graph classification