采用神经网络与模糊控制的制动需求识别

以保证车辆的制动安全性为最终目的,基于制动推杆行程传感器信号,利用神经网络算法与模糊控制算法提出了对制动需求进行识别的方法。首先采用神经网络算法与模糊控制算法完成对驾驶员制动需求的初步判断,然后通过主缸压力反馈信号对制动系统的制动动作完成程度进行预测,进而对制动需求识别结果进行持续反馈跟踪修正,以保证车辆的制动系统能够实现预期的制动效能。通过MATLAB/Simulink仿真试验与台架试验对控制算法进行了对比与验证,结果表明该方法能迅速准确地识别驾驶员的制动需求,从而为车辆的制动安全性提供保障。

汽车制动助力系统研究进展综述

阐述了汽车制动助力系统对汽车制动安全的重要性,对汽车制动助力系统的发展做出了概括;介绍了传统真空制动助力系统和智能制动助力系统的结构和布局,对电控助力系统的控制方法做出了概述,简要概述了电控制动助力系统的功能安全概念,分析并展望了汽车电控制动助力系统面临的挑战与今后的发展趋势。

MCM-41 anchored sulfonic acid (MCM-41-R-SO_3H):A mild,reusable and highly efficient heterogeneous catalyst for the Biginelli reaction

An efficient three-component synthesis of 3,4-dihydropyrimidinones using MCM-41 anchored sulfonic acid （MCM-41-R-SO3H） as a mild, heterogeneous catalyst for Biginelli reaction in CH3CN under reflux condition is described.

Small scale biodiesel synthesis from waste frying oil and crude methanol in Morocco

Biodiesel was produced at small scale by transesterification of used frying oil（UFO） recovered from Moroccan pastry shops and fish frying restaurants. Biodiesel was first synthesised at laboratory scale in order to optimize the transesterification parameters. The cost of the final product was also optimized using low-cost raw materials.The UFO and the produced biodiesel were characterized with several techniques including gas chromatography,1H NMR,13 C NMR, FTIR, and TGA–TDA techniques.1H NMR gas chromatographic analyses of the final product confirmed that the transesterification in the chosen experimental conditions was completed. These results were confirmed by TGA–TDA analysis used as new techniques to monitoring triglyceride conversion. The biodiesel did not contain any trace of glycerol, and it did meet the international standards. The transesterification at low cost in small scale conditions was performed at 60 ℃ using 1.2% of KOH and a methanol/oil molar ratio of 6：1. A yield of 80.8% was achieved. The properties of the produced biodiesel were found to be as good as those of biodiesels obeying to European standards. The biodiesel production was also performed at small-scale for individual utilisation. Thus, the product was tested in a kerosene stove for heating and non-modified commercial diesel engine producing electricity.

Insulin Effect on Gene Expression of Dental Pulp Cell during Osteodifferentiation

Insulin, an old but still actual molecule, has many roles in various cellular processes including bone formation and also angiogenesis. Insulin effects on different cell types were investigated, and we intended to check its effect on dental pulp cells (DPC) during osteoblast differentiation. First, bone differentiation ability of isolated dental pulp cells was assessed by alizarin red (AR) staining. Insulin increased dental pulp cell proliferation after 25 hours of culture. It increased mRNA expression of osteogenic markers such as Col1, RunX2, ALP, Osc, Mef2C and expression of genes involved in TGF b pathway such as Smad3, TSP1, VEGF at different time points.

Diabetes onset before or after the age of 65 does it affect the progression of renal and cardiovascular diseases in the elderly patient？

Type 2 diabetes （T2D） is common in the elderly and more than half of the people with diabetes are over 65 years old. Elderly diabetic patients have a higher frequency of hypertension, coronary artery disease and chronic kidney disease than non-diabetic elderly patients and the risk of these complications increases with patient age, duration of the dia- betes and glycated hemoglobin values. Besides the known classical factors of renal disease progression,

The Impact of the Techniques and Tactics Appropriate by the Athletes in Phase Triple Jump and Their Relationships with the Finale Results

The purposes of this study were to describe and compare the techniques used by elite world triple jumper and the Algerian elite team to determine the impact of distribution modality phases allowing the elite to exceeds 17-meter. Our subjects were two world elite 2009 and two Algerian national elite 2013. In the lack of new technology Modem measuring instruments kinematics or kinetics, our study based in measure of the Phase distribution ratio as measure of Stride length Jump distance. That literature review two schools, the Russian technique （which emphasizes the hop phase） and the Polish technique （which emphasizes the jump phase）. Our aims for this study are： Are there any statistically significant differences between the results of the samples in the distance achieved？ Are there any statistically significant differences between practical Ratio relative distances （world 2009-national 2013）？ Are there any statistically significant differences between Stride length phase distances （world 2009-national 2013）？ For that, we have chosen the analysis of variance and correlation of the distances achieved in each of the phases with the official distance of jumper and ＂T＂ student to compare implementation distribution of phases （hop, step and jump） with the results accuses. Based on the practices and weaknesses of elites in practice, we confirm： （1） All the samples practice the Russian technique as model in the distribution of the phase ratio; （2） The problem of our elites is in the hop phase distribution and its relationship with other phases; （3） Improve achieve horizontal vertical velocity in hop phase as solution.

Robust Control of Time Delay Systems

This study presents the design of both H∞ Loop Shaping Control （HLSC） and Internal Model Control （IMC） strategies for linear time delay systems. For first order time delay system, a systematic approach for weight selection based on the sensitivity function was proposed, then compared to the internal model control strategy. For both methods, the synthesis was based on the Pade approximation. Two cases are considered for time delay： upper or lower than system time constant. Simulation results for the proposed approaches are acceptable ever in presence of disturbances and model mismatches.

The Association between Dry Eye Disease and Depression, Anxiety, and Stress among Saudi Arabian Adults

Background: Dry eye disease (DED) is a multifactorial chronic ophthalmic disease. Its symptoms include blurry vision, foreign body sensation, pain, grittiness, ocular dryness and discomfort. Multiple studies have revealed that DED has a negative impact on patients’ quality of life, as well as their physical and mental health. In line with such findings, other research projects have indicated that depression, anxiety and stress share common risk factors associated with DED. Objective: We aimed to investigate the association between DED and depression, anxiety and stress among Saudi Arabian adults. Methods: This is a cross-sectional study conducted on 335 Saudi Arabian patients aimed to assess the prevalence of DED among individuals with depression, anxiety and stress. Data were collected using a self-administered questionnaire with the Depression Anxiety Stress Scales-21 (DASS-21) to assess the severity of stress, depression and anxiety, and the Ocular Surface Disease Index (OSDI) to assess DED symptoms. Results: The final number of participants was 448. Furthermore, 72.3% of them were aged 18 - 30 years, and 69.6% of them were females. The prevalence of depression, anxiety, and stress among patients with DED was 62.1%, 66.1%, 54%, and 77.9% respectively. Furthermore, we found that there were no significant differences between participants regarding the severity of DED based on different age groups (P = 0.889). Females with depression, anxiety, and stress, on the other hand, were significantly more likely to have severe DED than males with similar conditions. Conclusions: We confirmed a high prevalence of depression, anxiety, stress and DED in Saudi Arabian patients. There was a significant correlation between the four studied variables in which the greatest correlation was between anxiety and DED.

Reactive and Robust Planning of Moroccan Citrus Chain Based on Multi-agent System and Performance Indicators

As part of improving services done for various clients in all Moroccan areas, Moroccan exportation group of fruits and vegetables in collaboration with their packaging units and producers, tends to cooperate in order to face with international competitiveness. Indeed, the complexity of networks of partners has led policy-makers to implement new techniques and tools to help control different processes. For this reason, the implementation of a permanent monitoring of different operations ranging from production, packaging, and distribution of perishable products has become paramount. This article aims to propose a model of multi-agent citrus supply chain, based on indicators for monitoring and evaluation of performance of its logistics systems, in order to build a new independent, robust and responsive chain, and to optimize and control the flow of materials and information between the different actors and stakeholders of the chain.

Titration Method Validation of Live Vaccines against Infectious Bursal Disease

Validating a method of analysis goes through different steps, which aims at testing the normality of measurements distribution, estimating the uncertainty of the components of a measurement （i.e., accuracy and correctness）, and finally, define the control tests of non degradation of the method performances. This paper outlines the steps for validating a biological method of analysis. It involves the construction of an experimental design, a statistical model, and the preparation of an interne laboratory reference material （pilot vaccine）. The latter is used to study the impact of deviation and variation factors, in order to, optimize the analytical method, to evaluate the bias （random error）, and to calculate the uncertainty of measurement, and make the control charts. This method is applied in the titration of live viral vaccines of Gumboro disease on chicken＇s embryos fibroblasts. The experimental results show that potential influence factors related to the titration method had no significant influence on the obtained results. Taking into account these results, an operating mode has been elaborated. The finalized method proved to be faithful to standard deviation of repeatability and reproducibility of 0.21 and 0.22, respectively, with a confidence level of 95%. The calculated uncertainty of measurement is equal to 0.2, which represents the average error level of a titer. A homogeneous stock of interne laboratory reference vaccine （MRIL）, with an average titer of 5.9 log DIT 50, was produced and the control chart set in away to provide the laboratory with an important tool of control and monitoring of the viral titers evolution in time, as well as, the mastery of the validated titration method performances.

Detection of Accidental Fish Defrosting Using Non-Destructive Ultrasonic Technique

A non invasive ultrasonic method is used to detect whether or not the frozen fish has suffered a partial or total accidental thawing. The time of flight and the peak to peak amplitude of the ultrasonic signals backscattered by fish are recorded during thawing. The comparison of the evolution curves and images corresponding to first and second thawing shows indicators of accidental thawing. The monitoring of thawing process showed that its assessment can be reduced to the measurement of the water content lost by fish. The attempt to replace the original water lost by fish in first thawing is analyzed. The influence of the transducer frequency on fish thawing evaluation is tested.

Characterization in Greenhouse Conditions of Two Salt Tolerant Citrumelo （Citrus paradisi Macf. x Poncirus trifoliata （L.） Raf.） Cultivars

Increasing salinity in Mediterranean soils and the wide spread of citrus tristeza virus have challenged the use of sour orange （Citrus aurantium） and have accelerated the process of seeking alternative rootstocks. In the present study, nine cultivars of citrumelo （Citrus paradisi Macf. x Poncirus trifoliata （L.） Raf.） were evaluated for salt tolerance. Two month-old seedlings were raised under greenhouse conditions and irrigated with a half strength Hoagland solution supplemented with different concentrations of NaCI, i.e., 0 mM, 35 mM and 85 mM. Tolerance was assessed after two months of stress by measuring stem growth, number of leaves, fresh and dry weight organs and leaf water, chlorophyll and chloride contents. A differential behavior was noticed among the seedlings we studied. When using increased concentration of salt in irrigation water, all the parameters were significantly reduced except for leaf chloride content which highly increased in response to stress. At 85 mM, the cultivar SC2 showed a high tolerance resulting in less apparent leaf symptoms, higher growth and higher leaf chlorophyll content when compared to other seedlings. Similarly, the cultivar C4475-C was shown to be a strong root chloride excluder with less than 2.6% DW （dry weight） chloride accumulation at leaf level. By contrast, our results suggest that C4475-A and C4475-B are salt sensitive cultivars regarding to all the parameters studied while the other citrumelos were considered as moderately tolerant.

Characterization of Antibacterial Activity and Potential as Probiotic of Lactic Acid Bacteria Isolated from Goat＇s Milk in Algeria

Lactic acid bacteria （LAB） were isolated from goat＇s milk in different north west region of Algeria. A total of 233 isolates were identified as LAB. However, only 11 strains showed excellent inhibition zones on agar when Salmonella lyphimorium ATCC 13311 was used as an indicator for preliminary detection of antagonistic activity. After elimination of inhibition due to acid and H202, Staphylococcus aureus ATCC 25923 was used for secondary screening for antagonistic activity of these 11 strains. It was found that only 9 strains exhibited a good inhibition zones on agar, and all of them could inhibit E. coli ATCC 25921 and Pseudomonas aeruginosa ATCC 27853 as the third and the forth indicators respectively. Lactococcus lactis subsp, cremoris, Lactobacillus casei subsp, casei, Lactobacillus casei subsp, rhamnosus, Streptococcus salivarius subsp, thermophilus and Lactococcus lactis biovar. diacetylactis were the strains that have a good antibacterial activity, survive in the gastrointestinal conditions and were sensible to the majority of the antibiotics. All isolated strains tolerate pH = 2 and high bile salt concentration.

Impact of Consumption of Olive and Argane Oils on Anthropometric Profile of Postmenopausal Women in Morocco

Worldwide, large studies have shown that the menopause is mainly associated with substantial changes in body composition that result in an increase in waist circumference, fat accumulation and specially weight gain. This overweight could be exacerbated by fat intake. Thus, this study was planned to evaluate the impact of the consumption of olive and argane oils on anthropometric profile and body composition of postmenopausal women. The nutritional intervention was conducted over a period of eight weeks, involving daily consumption of 25 mL of argane oil The anthropometric profile （weight, height and body mass index or olive oil in 151 postmenopausal women （55.49 ± 6.18 years old）. （BMI）） and body composition （fat mass （FM） and lean mass （LM）） were determined at 0 week （baseline）, and after the 4th and 8th weeks of nutritional intervention. Results clearly demonstrated that argane oil or olive oil consumption did not affect the anthropometric parameters and the body composition of postmenopausal women. Thus, argane and/or olive oils＇ regular diet does not lead to weight gain, and postmenopausal women could benefit from their impact on health for a better quality of life and to overcome all menopause associated problems. A longer period of nutritional intervention is required to confirm the trend down that was recorded.

Blind Spot Obstacle Detection from Monocular Camera Images with Depth Cues Extracted by CNN

The images from a monocular camera can be processed to detect depth information regarding obstacles in the blind spot area captured by the side-view camera of a vehicle.The depth information is given as a classification result“near”or“far”when two blocks in the image are compared with respect to their distances and the depth information can be used for the purpose of blind spot area detection.In this paper,the proposed depth information is inferred from a combination of blur cues and texture cues.The depth information is estimated by comparing the features of two image blocks selected within a single image.A preliminary experiment demonstrates that a convolutional neural network(CNN)model trained by deep learning with a set of relatively ideal images achieves good accuracy.The same CNN model is applied to distinguish near and far obstacles according to a specified threshold in the vehicle blind spot area,and the promising results are obtained.The proposed method uses a standard blind spot camera and can improve safety without other additional sensing devices.Thus,the proposed approach has the potential to be applied in vehicular applications for the detection of objects in the driver’s blind spot.

Electrodes based on nano-tree-like vanadium nitride and carbon nanotubes for micro-supercapacitors

Vanadium nitride （VN） was deposited by DC-sputtering on a vertically aligned carbon nanotube （CNTs） template for the purpose of nano-structuration. This led to the fabrication of hierarchically composite electrodes consisting of porous and nanostructured VN grown on vertically aligned CNTs in a nano-treelike configuration for micro-supercapacitor application. The electrodes show excellent performance with an areal capacitance as high as 37.5 mF cm^-2 at a scan rate of 2 mV s^-1 in a 0.5 M K2504 mild electrolyte solution. Furthermore, the capacitance decay was only 15% after 20,000 consecutive cycles. Moreover, the capacitance was found to increase with VN deposit thickness. The X-ray photoelectron spectroscopy analyses of the electrodes before and after cycling suggest that the oxide layers that form at the VN surface is the responsible for the redox energy storage in this material. Such electrodes can compete with other transition metal nitride based electrodes for micro-supercapacitors.