338 research outputs found

    Les conflits d'usage des espaces périurbains et le contentieux administratif. Le cas de la région Ile-de-France..

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    L’article porte sur une analyse des conflits d’usages d’espace, traduits par les requêtes devant la justice administrative française de 1981 à 2005. Le terrain d’étude est le périurbain francilien, territoire qui connaît une forte urbanisation et où la diversité des modes d’occupation du sol nécessite une meilleure compréhension de la dynamique spatiale et temporelle de la conflictualité. L’étude empirique montre une corrélation entre l’augmentation des conflits d’usage en Île-de-France et la dynamique de périurbanisation. Elle met en évidence un couplage entre certains types de conflits et certaines caractéristiques du territoire : les problèmes d’urbanisme font souvent l’objet conflictuel dominant dans les communes plutôt aisées, tandis que l’opposition aux infrastructures publiques se situe fréquemment dans les communes à forte urbanisation. Les nuisances des installations classées sont souvent localisées dans des communes plutôt peu aisées.The article provides an analysis of land-use conflicts extract from the rulings of French Administrative Courts from 1981 to 2005. It focuses on Paris’s suburb, where the urbanisation process and the diversity of land-use require a deeper comprehension of the problem. Our results show that the land-use conflict’s evolution is correlated with the urbanisation process. They also detect a coupling phenomenon between conflict’s type and territory’s parameters : urbanism disputes often arise in wealthy municipalities, whereas oppositions to public infrastructure have particularly risen in strongly urbanising towns. Classified industrial facility’s nuisances have been found in unfortunate municipalities.Île-de-France; contentieux; périurbanisation; conflit d’usage; Paris region; periurbanisation; land-use conflict; litigation;

    Ni粒子を分散した各種酸化物セラミック基ナノコンポジットの自己治癒

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    国立大学法人長岡技術科学大

    Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function

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    This paper presents a comprehensive analysis of motor bearing fault detection (MBFD), which involves the task of identifying faults in a motor bearing based on its vibration. To this end, we first propose and evaluate various machine learning based systems for the MBFD task. Furthermore, we propose three deep learning based systems for the MBFD task, each of which explores one of the following training strategies: supervised learning, semi-supervised learning, and unsupervised learning. The proposed machine learning based systems and deep learning based systems are evaluated, compared, and then they are used to identify the best model for the MBFD task. We conducted extensive experiments on various benchmark datasets of motor bearing faults, including those from the American Society for Mechanical Failure Prevention Technology (MFPT), Case Western Reserve University Bearing Center (CWRU), and the Condition Monitoring of Bearing Damage in Electromechanical Drive Systems from Paderborn University (PU). The experimental results on different datasets highlight two main contributions of this study. First, we prove that deep learning based systems are more effective than machine learning based systems for the MBFD task. Second, we achieve a robust and general deep learning based system with a novel loss function for the MBFD task on several benchmark datasets, demonstrating its potential for real-life MBFD applications

    La décision publique à l’épreuve des conflits

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    Le processus de décision publique, qui touche à l’ensemble des activités industrielles, doit faire face à deux problèmes : les méthodes de calcul économique et les analyses du choix public peinent à intégrer les dimensions sociales et politiques dans les procédures de choix et se révèlent impuissantes à dessiner un cadre cohérent de prise de décision conforme aux attentes du public ; les conflits d’usage de l’espace se multiplient et marquent la difficulté croissante à mettre en œuvre de nouveaux projets, en particulier en matière d’infrastructures. Cet article défend l’idée que c’est par l’incorporation des dimensions conflictuelles dans le processus de décision publique que l’on parviendra à construire des projets partagés et à tester la recevabilité ou le refus des décisions publiques. Dans un premier temps, nous montrons comment le mécanisme de la décision publique est conduit à incorporer toujours davantage des variables sociales et politiques, et nous revenons sur les problèmes posés par les outils de la décision, au regard des théories du choix. Dans la deuxième partie, nous présentons un cadre d’analyse de l’intégration des conflits à la décision publique, en commençant par les analyses de l’exit et de la prise de parole, de Tiebout à Hirschman, puis en insistant sur le rôle joué par les conflits dans le processus d’essais et d’erreurs qui caractérise maintenant la décision publique.In France, public decisions about industrial infrastructures are mainly based on a cost-advantage analysis but they are much and much depending on the public choice principle. While cardinal utility based approach refuses social dimension in decision making, the society turns more toward a democratic deliberation process which respects social preferences for territorial planning. That’s why these methods are no longer the appropriate framework to build collective choice. The increasing volume of land-use conflicts proves that it is more and more difficult to carry out new projects, particularly in public facility construction. This article defends the idea that the incorporation of conflict dimension into the decision making process can prospect a new approach where one can build shared projects inside a territorial governance framework, and test their recevability. In the first section, we show that the current making of public decision tends to progressively incorporate social and political adjustments. We then come back to the above mentioned problems in regarding the theories of choice. In the second section, we present an analytical framework which incorporates the conflict into the decision process. We expose the footloose model of Tiebout and that of Exit and Voice of Hirschman. In the end, we insist on the role of conflicts in the became-tendency trial-error procedure in public decision today

    DEWATS dissemination in Vietnam: achievements and lessons learnt

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    The speedy economic development and rapid growth of population and urbanization in Vietnam have created great pressure on the environment by its manufacturing process and human activities. Thus, it is necessary to protect the environment through policies and appropriate technology for the sustainable development of the country. The DEcentralized WAstewater Treatment Solutions (DEWATS) dissemination in Vietnam is one of the measures contributing to address this issue

    Evaluation of Pseudomonas stutzeri AM1 and Pseudomonas oleovorans ST1.1 isolated from shrimp pond sediments as probiotics for whiteleg shrimp, Litopenaeus vannamei culture

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    This study aimed to isolate the probiotic potential of nitrifying bacterial strains and to evaluate their effects on water quality and growth performance of the whiteleg shrimp, Litopenaeus vannamei. Based on an initial screening of 100 isolates identified from sediment samples, 12 strains could remove nitrogen compounds and two strains (Pseudomonas stutzeri AM1 and P. oleovorans ST1.1) showed highly efficient nitrogen removal ability. Within 96 h, total ammonia nitrogen (TAN) removal efficiency in the two strains was 28.0-31.6% and 21.5-24.9%, respectively. The water addition of 103 CFUmL-1 of P. stutzeri AM1 (T1) and P. oleovorans ST1.1 (T2) effectively reduced TAN, nitrite, nitrate, and total sulfide and increased the survival rate and biomass of shrimp. However, no significant differences were found between the control (T0) and treatment groups (T1 and T2) in the final weight, weight gain and specific growth rate of shrimp. Overall, P. stutzeri AM1 (T1) and P. oleovorans ST1.1 used as water supplements improved water quality and the survival rate of whiteleg shrimp

    Robust adaptive controller for wheel mobile robot with disturbances and wheel slips

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    In this paper an observer based adaptive control algorithm is built for wheel mobile robot (WMR) with considering the system uncertainties, input disturbances, and wheel slips. Firstly, the model of the kinematic and dynamic loops is shown with presence of the disturbances and system uncertainties. Next, the adaptive controller for nonlinear mismatched disturbance systems based on the disturbances observer is presented in detail. The controller includes two parts, the first one is for the stability purpose and the later is for the disturbances compensation. After that this control scheme is applied for both two loops of the system. In this paper, the stability of the closed system which consists of two control loops and the convergence of the observers is mathematically analysed based on the Lyapunov theory. Moreover, the proposed model does not require the complex calculation so it is easy for the implementation. Finally, the simulation model is built for presented method and the existed one to verify the correctness and the effectiveness of the proposed scheme. The simulation results show that the introduced controller gives the good performances even that the desired trajectory is complicated and the working condition is hard

    USING EXPERIMENTAL PLANNING TO OPTIMIZE THE HYDROLYSIS OF SUGAR CANE BAGASSE INTO FERMENTABLE SUGARS FOR BIOETHANOL PRODUCTION BY FUNGAL ENZYME MIXTURE

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    In this study, the unpretreated sugar cane bagasse was milled to a particle size of 0.5 – 1 mm and be used as material for bioconversion into fermentable sugars by using an enzyme cocktail acted synergistically. Experimental planning was used to optimize the enzyme conversion through assessment and analysis of individual parameter. As the result, the optimal condition for enzymatic conversion of sugar cane bagasse into reducing sugar product are at pH = 5, 400C, and 48 h incubation in rate of enzyme (Cell/Xyl, AltFAE, XpoAE) and substrate (bagasse meal) is 3.1. From the above application, the mathematical model is found to describe equation of the bioconversion of bagasse into reducing sugars: = 206.946 + 29.954x1 + 5.501x2 + 7.323x3 + 2.288x2x3 – 7.011; and using flexible algorithm of nonlinear planning to identify optimal conditions of enzyme mixture of conversion into reducing sugars that the reaction reached max = 251.86 mg per gram bagasse with x1 = 1.215, x2 = 1.215, x3 = 1.215 or Cell/Xyl = 1 ml (100U), AltFAE = 0.5 ml (7.56U), XpoAE = 0.4 ml (10.8U) on the test range. Experimental verification has the same result in constant conditons and reached total reducing sugars of 260.2 mg per gram substrate.In this study, the unpretreated sugar cane bagasse was milled to a particle size of 0.5 – 1 mm and be used as material for bioconversion into fermentable sugars by using an enzyme cocktail acted synergistically. Experimental planning was used to optimize the enzyme conversion through assessment and analysis of individual parameter. As the result, the optimal condition for enzymatic conversion of sugar cane bagasse into reducing sugar product are at               pH = 5, 40 oC, and 48 h incubation in rate of enzyme (Cell/Xyl, AltFAE, XpoAE) and substrate (bagasse meal) is 3.1. From the above application, the mathematical model is found to describe equation of the bioconversion of bagasse into reducing sugars: = 206.946 + 29.954x1 + 5.501x2 + 7.323x3 + 2.288x2x3 – 7.011; and using flexible algorithm of nonlinear planning to identify optimal conditions of enzyme mixture of conversion into reducing sugars that the reaction reached max = 251.86 mg per gram bagasse with x1 = 1.215, x2 = 1.215, x3 = 1.215 or Cell/Xyl = 1 ml (100U), AltFAE = 0.5 ml (7.56U), XpoAE = 0.4 ml (10.8U) on the test range. Experimental verification has the same result in constant conditons and reached total reducing sugars of 260.2 mg per gram substrate

    Radicular cyst in a primary molar following pulp therapy with gutta percha : a case report and literature review

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    A radicular cyst (RC) in deciduous dentition is relatively rare. This clinical report presents a case of RC that condition derived from a primary molar undergone an endodontic treatment with gutta-percha approximately one year ago. In addition, we also considered whether intracanal medicaments and gutta-percha filling material related to the formation and development of the cyst or not
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