57 research outputs found

    Compression vidéo basée sur l'exploitation d'un décodeur intelligent

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    This Ph.D. thesis studies the novel concept of Smart Decoder (SDec) where the decoder is given the ability to simulate the encoder and is able to conduct the R-D competition similarly as in the encoder. The proposed technique aims to reduce the signaling of competing coding modes and parameters. The general SDec coding scheme and several practical applications are proposed, followed by a long-term approach exploiting machine learning concept in video coding. The SDec coding scheme exploits a complex decoder able to reproduce the choice of the encoder based on causal references, eliminating thus the need to signal coding modes and associated parameters. Several practical applications of the general outline of the SDec scheme are tested, using different coding modes during the competition on the reference blocs. Despite the choice for the SDec reference block being still simple and limited, interesting gains are observed. The long-term research presents an innovative method that further makes use of the processing capacity of the decoder. Machine learning techniques are exploited in video coding with the purpose of reducing the signaling overhead. Practical applications are given, using a classifier based on support vector machine to predict coding modes of a block. The block classification uses causal descriptors which consist of different types of histograms. Significant bit rate savings are obtained, which confirms the potential of the approach.Cette thĂšse de doctorat Ă©tudie le nouveau concept de dĂ©codeur intelligent (SDec) dans lequel le dĂ©codeur est dotĂ© de la possibilitĂ© de simuler l’encodeur et est capable de mener la compĂ©tition R-D de la mĂȘme maniĂšre qu’au niveau de l’encodeur. Cette technique vise Ă  rĂ©duire la signalisation des modes et des paramĂštres de codage en compĂ©tition. Le schĂ©ma gĂ©nĂ©ral de codage SDec ainsi que plusieurs applications pratiques sont proposĂ©es, suivis d’une approche en amont qui exploite l’apprentissage automatique pour le codage vidĂ©o. Le schĂ©ma de codage SDec exploite un dĂ©codeur complexe capable de reproduire le choix de l’encodeur calculĂ© sur des blocs de rĂ©fĂ©rence causaux, Ă©liminant ainsi la nĂ©cessitĂ© de signaler les modes de codage et les paramĂštres associĂ©s. Plusieurs applications pratiques du schĂ©ma SDec sont testĂ©es, en utilisant diffĂ©rents modes de codage lors de la compĂ©tition sur les blocs de rĂ©fĂ©rence. MalgrĂ© un choix encore simple et limitĂ© des blocs de rĂ©fĂ©rence, les gains intĂ©ressants sont observĂ©s. La recherche en amont prĂ©sente une mĂ©thode innovante qui permet d’exploiter davantage la capacitĂ© de traitement d’un dĂ©codeur. Les techniques d’apprentissage automatique sont exploitĂ©es pour but de rĂ©duire la signalisation. Les applications pratiques sont donnĂ©es, utilisant un classificateur basĂ© sur les machines Ă  vecteurs de support pour prĂ©dire les modes de codage d’un bloc. La classification des blocs utilise des descripteurs causaux qui sont formĂ©s Ă  partir de diffĂ©rents types d’histogrammes. Des gains significatifs en dĂ©bit sont obtenus, confirmant ainsi le potentiel de l’approche

    Higuchi Fractal Properties of Onset Epilepsy Electroencephalogram

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    Epilepsy is a medical term which indicates a common neurological disorder characterized by seizures, because of abnormal neuronal activity. This leads to unconsciousness or even a convulsion. The possible etiologies should be evaluated and treated. Therefore, it is necessary to concentrate not only on finding out efficient treatment methods, but also on developing algorithm to support diagnosis. Currently, there are a number of algorithms, especially nonlinear algorithms. However, those algorithms have some difficulties one of which is the impact of noise on the results. In this paper, in addition to the use of fractal dimension as a principal tool to diagnose epilepsy, the combination between ICA algorithm and averaging filter at the preprocessing step leads to some positive results. The combination which improved the fractal algorithm become robust with noise on EEG signals. As a result, we can see clearly fractal properties in preictal and ictal period so as to epileptic diagnosis

    Approximation of mild solutions of the linear and nonlinear elliptic equations

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    In this paper, we investigate the Cauchy problem for both linear and semi-linear elliptic equations. In general, the equations have the form ∂2∂t2u(t)=Au(t)+f(t,u(t)),t∈[0,T], \frac{\partial^{2}}{\partial t^{2}}u\left(t\right)=\mathcal{A}u\left(t\right)+f\left(t,u\left(t\right)\right),\quad t\in\left[0,T\right], where A\mathcal{A} is a positive-definite, self-adjoint operator with compact inverse. As we know, these problems are well-known to be ill-posed. On account of the orthonormal eigenbasis and the corresponding eigenvalues related to the operator, the method of separation of variables is used to show the solution in series representation. Thereby, we propose a modified method and show error estimations in many accepted cases. For illustration, two numerical examples, a modified Helmholtz equation and an elliptic sine-Gordon equation, are constructed to demonstrate the feasibility and efficiency of the proposed method.Comment: 29 pages, 16 figures, July 201

    Extracting Fetal Electrocardiogram from Being Pregnancy Based on Nonlinear Projection

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    Fetal heart rate extraction from the abdominal ECG is of great importance due to the information that carries in assessing appropriately the fetus well-being during pregnancy. In this paper, we describe a method to suppress the maternal signal and noise contamination to discover the fetal signal in a single-lead fetal ECG recordings. We use a locally linear phase space projection technique which has been used for noise reduction in deterministically chaotic signals. Henceforth, this method is capable of extracting fetal signal even when noise and fetal component are of comparable amplitude. The result is much better if the noise is much smaller (P wave and T wave can be discovered)

    Analyzing surface EMG signals to determine relationship between jaw imbalance and arm strength loss

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    BACKGROUND: This study investigated the relationship between dental occlusion and arm strength; in particular, the imbalance in the jaw can cause loss in arm strength phenomenon. One of the goals of this study was to record the maximum forces that the subjects can resist against the pull-down force on their hands while biting a spacer of adjustable height on the right or left side of the jaw. Then EMG measurement was used to determine the EMG-Force relationship of the jaw, neck and arms muscles. This gave us useful insights on the arms strength loss due to the biomechanical effects of the imbalance in the jaw mechanism. METHODS: In this study to determine the effects of the imbalance in the jaw to the strength of the arms, we conducted experiments with a pool of 20 healthy subjects of both genders. The subjects were asked to resist a pull down force applied on the contralateral arm while biting on a firm spacer using one side of the jaw. Four different muscles – masseter muscles, deltoid muscles, bicep muscles and trapezoid muscles – were involved. Integrated EMG (iEMG) and Higuchi fractal dimension (HFD) were used to analyze the EMG signals. RESULTS: The results showed that (1) Imbalance in the jaw causes loss of arm strength contra-laterally; (2) The loss is approximately a linear function of the height of the spacers. Moreover, the iEMG showed the intensity of muscle activities decreased when the degrees of jaw imbalance increased (spacer thickness increased). In addition, the tendency of Higuchi fractal dimension decreased for all muscles. CONCLUSIONS: This finding indicates that muscle fatigue and the decrease in muscle contraction level leads to the loss of arm strength

    SYNTHESIS OF STARCH MODIFIED MONTMORILLONITE AS AN EFFECTIVE ADSORBENT FOR Pb (II) REMOVAL FROM WATER

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    The adsorbent is prepared by the montmorillonite co-modification with starch for the removal of Pb (II) ions from aqueous solution. The Fourier-transformed infrared (FTIR), X-ray diffraction (XRD) spectroscopies were used to determine the structure and characteristics of the adsorbent. The main factors affecting the removal of Pb (II) ions were investigated, including the effect of pH, contact time, adsorbent dosage and the initial concentration of Pb (II). Batch process can be used for adsorption and equilibrium studies. The experimental data were fitted using Freundlich and Langmuir adsorption models. The Langmuir isotherm best fitted the experimental data with R2 0.99 and maximum Pb (II) adsorption capacity of 21.5 mg/g indicated monolayer adsorption. Kinetic studies using pseudo-first-order and pseudo-second-order rate models showed that the process complied well with the pseudo second-order rate model

    Optimization of Main Factors Affecting Construction Waste by the Supply Chain Management

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    A survey report of the Vietnam Urban Environment and Industrial Zone Association reveals that every day in 2009, about 1,000 tons of construction waste were generated in Hanoi and 2,000 tons Ho Chi Minh City in Vietnam. It is forecasted that the coming years would see a vigorously growing amount of construction waste as a result of the plan to dismantle and renovate old apartment buildings in major cities. So, in this research we developed a supply chain management strategy for the waste controlling in the construction industry. While the bulky volume of construction wastes poses a great environmental threat to urban areas, response to it remains meager. Hence, this paper presents four primary factors affecting the management of construction wastes in Vietnam using fuzzy logic

    Least Expected Time Paths in Stochastic Schedule-Based Transit Networks

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    We consider the problem of determining a least expected time (LET) path that minimizes the number of transfers and the expected total travel time in a stochastic schedule-based transit network. A time-dependent model is proposed to represent the stochastic transit network where vehicle arrival times are fully stochastically correlated. An exact label-correcting algorithm is developed, based on a proposed dominance condition by which Bellman’s principle of optimality is valid. Experimental results, which are conducted on the Ho Chi Minh City bus network, show that the running time of the proposed algorithm is suitable for real-time operation, and the resulting LET paths are robust against uncertainty, such as unknown traffic scenarios

    Disputes in Managing Projects: A Case Study of Construction Industry in Vietnam

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    The construction industry in developing countries like Vietnam, which incorporates small and medium construction enterprises, is typically more prone to disputes and contract dispute-related lawsuits. A dispute may occur at any time in the life cycle of the project. It is sometimes solved with the intermediation of a lawyer or directly by stakeholders. Understanding the causes of disputes in a construction project not only improves the efficiency of a company but also increases the success of projects. This study was carried out using a questionnaire survey at construction projects in Ho Chi Minh City. Sample data with 117 observations were analyzed to find the disputing factors in construction projects: diversity of working style among the parties; reluctance to work; and poor teamwork. Correlation coefficient on a rank of factors between design consultant and contractor; Design consultant and project owners are positively correlated. The Exploratory Factor Analysis (EFA) analysis identified six groups of factors in construction disputes: cooperation, technology, economics, productivity, information, and behavior. The findings are useful for enterprise practice and provide participants with an overview of sources of dispute. Thus, a more complete risk management plan can be formulated, which will accelerate project progress and improve the likelihood of success

    Perforator Mapping of the Superficial and Deep Inferior Epigastric Artery in the Abdominal Region of the Vietnamese

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    BACKGROUND: Previous studies worldwide have investigated the anatomy of the perforators of the deep inferior epigastric arteries to figure out the navigation patterns of the perforators on the abdominal wall. This has been inconsistent amongst the researchers about how to select the perforator to increase the blood supply area for the flap. AIM: To explore the blood supply area of the perforators of the superficial and deep inferior epigastric artery in the abdominal region of the Vietnamese by dissection and 64-slice multislice computed tomography (64-slice MSCT). METHODS: A descriptive cross-sectional study Center from September 2014 to September 2016 on two groups including 30 cadavers fixed by formalin 10% in Anatomy Department of UPNT, and 37 patients getting the 64-slice MSCT abdominal arteries angiogram. RESULTS: The superficial epigastric arteries at the level of the inguinal ligament were located in the middle region, with 96% (right) and 88.5% (left). The anterior superior iliac spine level was in the middle, and lateral regions of 68% and 32% respectively. The level of the umbilical cord was in the lateral region with 66.7% and 85.7%, respectively. There were about 6 perforators of the deep inferior epigastric arteries located in the navel area. These perforators were 70% in the medial region and 30% in the middle region. CONCLUSION: Mapping the blood supply based on the fourth space in the abdominal region in which the superfical inferior epigastric arteries supplied the lateral area. The middle and the internal ones were the perforators of the deep inferior epigastric arteries
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