A Kalman filter based queue estimation algorithm using time occupancies for motorway on-ramps

The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is the most vital input for a dynamic queue management that can treat long queues on metered on-ramps more sophistically. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in the congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.

Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach

This study investigates the potential of Relevance Vector Machine (RVM)-based approach to predict the ultimate capacity of laterally loaded pile in clay. RVM is a sparse approximate Bayesian kernel method. It can be seen as a probabilistic version of support vector machine. It provides much sparser regressors without compromising performance, and kernel bases give a small but worthwhile improvement in performance. RVM model outperforms the two other models based on root-mean-square-error (RMSE) and mean-absolute-error (MAE) performance criteria. It also stimates the prediction variance. The results presented in this paper clearly highlight that the RVM is a robust tool for prediction Of ultimate capacity of laterally loaded piles in clay.

A flexible hierarchical approach for facial age estimation based on multiple features

Age estimation from facial images is increasingly receiving attention to solve age-based access control, age-adaptive targeted marketing, amongst other applications. Since even humans can be induced in error due to the complex biological processes involved, finding a robust method remains a research challenge today. In this paper, we propose a new framework for the integration of Active Appearance Models (AAM), Local Binary Patterns (LBP), Gabor wavelets (GW) and Local Phase Quantization (LPQ) in order to obtain a highly discriminative feature representation which is able to model shape, appearance, wrinkles and skin spots. In addition, this paper proposes a novel flexible hierarchical age estimation approach consisting of a multi-class Support Vector Machine (SVM) to classify a subject into an age group followed by a Support Vector Regression (SVR) to estimate a specific age. The errors that may happen in the classification step, caused by the hard boundaries between age classes, are compensated in the specific age estimation by a flexible overlapping of the age ranges. The performance of the proposed approach was evaluated on FG-NET Aging and MORPH Album 2 datasets and a mean absolute error (MAE) of 4.50 and 5.86 years was achieved respectively. The robustness of the proposed approach was also evaluated on a merge of both datasets and a MAE of 5.20 years was achieved. Furthermore, we have also compared the age estimation made by humans with the proposed approach and it has shown that the machine outperforms humans. The proposed approach is competitive with current state-of-the-art and it provides an additional robustness to blur, lighting and expression variance brought about by the local phase features.

Exploring the Potential Impacts of Climate Variability on Spring Wheat Yield with the APSIM Decision Support Tool

Assessing the impacts of climate variability on agricultural productivity at regional, national or global scale is essential for defining adaptation and mitigation strategies. We explore in this study the potential changes in spring wheat yields at Swift Current and Melfort, Canada, for different sowing windows under projected climate scenarios (i.e., the representative concentration pathways, RCP4.5 and RCP8.5). First, the APSIM model was calibrated and evaluated at the study sites using data from long term experimental field plots. Then, the impacts of change in sowing dates on final yield were assessed over the 2030-2099 period with a 1990-2009 baseline period of observed yield data, assuming that other crop management practices remained unchanged. Results showed that the performance of APSIM was quite satisfactory with an index of agreement of 0.80, R2 of 0.54, and mean absolute error (MAE) and root mean square error (RMSE) of 529 kg/ha and 1023 kg/ha, respectively (MAE = 476 kg/ha and RMSE = 684 kg/ha in calibration phase). Under the projected climate conditions, a general trend in yield loss was observed regardless of the sowing window, with a range from -24 to -94 depending on the site and the RCP, and noticeable losses during the 2060s and beyond (increasing CO2 effects being excluded). Smallest yield losses obtained through earlier possible sowing date (i.e., mid-April) under the projected future climate suggested that this option might be explored for mitigating possible adverse impacts of climate variability. Our findings could therefore serve as a basis for using APSIM as a decision support tool for adaptation/mitigation options under potential climate variability within Western Canada.

Worldwide outdoor round robin study of organic photovoltaic devices and modules

Accurate characterization and reporting of organic photovoltaic (OPV) device performance remains one of the important challenges in the field. The large spread among the efficiencies of devices with the same structure reported by different groups is significantly caused by different procedures and equipment used during testing. The presented article addresses this issue by offering a new method of device testing using “suitcase sample” approach combined with outdoor testing that limits the diversity of the equipment, and a strict measurement protocol. A round robin outdoor characterization of roll-to-roll coated OPV cells and modules conducted among 46 laboratories worldwide is presented, where the samples and the testing equipment were integrated in a compact suitcase that served both as a sample transportation tool and as a holder and test equipment during testing. In addition, an internet based coordination was used via plasticphotovoltaics.org that allowed fast and efficient communication among participants and provided a controlled reporting format for the results that eased the analysis of the data. The reported deviations among the laboratories were limited to 5% when compared to the Si reference device integrated in the suitcase and were up to 8% when calculated using the local irradiance data. Therefore, this method offers a fast, cheap and efficient tool for sample sharing and testing that allows conducting outdoor measurements of OPV devices in a reproducible manner.

Magneto acoustical emission in nanocrystalline Mn-Zn ferrites

Mn0.4Zn0.6Fe2O4 powders were prepared by microwave hydrothermal method. The powders were characterized by X-ray diffraction, transmission electron microscope. The powders were sintered at different temperatures 400, 500, 600, 700, 800 and 900 degrees C/30 min using microwave sintering method. The grain size was estimated by scanning electron microscope. The room temperature dielectric and magnetic properties were studied in the frequency range (100 kHz-1.8 GHz). The magnetization properties were measured upto 1.5 T. The acoustic emission has been measured along the hysteresis loops from 80 K to Curie temperature. It is found that the magneto-acoustic emission (MAE) activity along hysteresis loop is proportional to the hysteresis losses during the same loop. This law has been verified on series of polycrystalline ferrites and found that the law is valid whatever the composition, the grain size and temperature. It is also found that the domain wall creation/or annihilation processes are the origin of the MAE. (C) 2013 Published by Elsevier Ltd.

Energy Harvesting WSNs for Accurately Estimating the Maximum Sensor Reading: Trade-Offs and Optimal Design

Computing the maximum of sensor readings arises in several environmental, health, and industrial monitoring applications of wireless sensor networks (WSNs). We characterize the several novel design trade-offs that arise when green energy harvesting (EH) WSNs, which promise perpetual lifetimes, are deployed for this purpose. The nodes harvest renewable energy from the environment for communicating their readings to a fusion node, which then periodically estimates the maximum. For a randomized transmission schedule in which a pre-specified number of randomly selected nodes transmit in a sensor data collection round, we analyze the mean absolute error (MAE), which is defined as the mean of the absolute difference between the maximum and that estimated by the fusion node in each round. We optimize the transmit power and the number of scheduled nodes to minimize the MAE, both when the nodes have channel state information (CSI) and when they do not. Our results highlight how the optimal system operation depends on the EH rate, availability and cost of acquiring CSI, quantization, and size of the scheduled subset. Our analysis applies to a general class of sensor reading and EH random processes.

TWEAK/Fn14 Signaling Is Required for Liver Regeneration after Partial Hepatectomy in Mice

Background & Aims: Pro-inflammatory cytokines are important for liver regeneration after partial hepatectomy (PH). Expression of Fibroblast growth factor-inducible 14 (Fn14), the receptor for TNF-like weak inducer of apoptosis (TWEAK), is induced rapidly after PH and remains elevated throughout the period of peak hepatocyte replication. The role of Fn14 in post-PH liver regeneration is uncertain because Fn14 is expressed by liver progenitors and TWEAK-Fn14 interactions stimulate progenitor growth, but replication of mature hepatocytes is thought to drive liver regeneration after PH. Methods: To clarify the role of TWEAK-Fn14 after PH, we compared post-PH regenerative responses in wild type (WT) mice, Fn14 knockout (KO) mice, TWEAK KO mice, and WT mice treated with anti-TWEAK antibodies. Results: In WT mice, rare Fn14(+) cells localized with other progenitor markers in peri-portal areas before PH. PH rapidly increased proliferation of Fn14(+) cells; hepatocytic cells that expressed Fn14 and other progenitor markers, such as Lgr5, progressively accumulated from 12-8 h post-PH and then declined to baseline by 96 h. When TWEAK/Fn14 signaling was disrupted, progenitor accumulation, induction of pro-regenerative cytokines, hepatocyte and cholangiocyte proliferation, and over-all survival were inhibited, while post-PH liver damage and bilirubin levels were increased. TWEAK stimulated proliferation and increased Lgr5 expression in cultured liver progenitors, but had no effect on either parameter in cultured primary hepatocytes. Conclusions: TWEAK-FN14 signaling is necessary for the healthy adult liver to regenerate normally after acute partial hepatectomy.

Europäische Fischerei in afrikanischen Gewässern - Information über die Fischerei in Mauretanien

Die mauretanische Atlantikküste ist rund 700 km lang. Der Küste vorgelagert ist ein ca. 30 bis 120, im Mittel 50 km breiter Schelf, von insgesamt 34 000 km2, wenn man die 200-m-Tiefenlinie als Schelfgrenze zugrundelegt. Dieses Schelfgebiet liegt im Bereich des nordost-atlantischen Auftriebs. Aufsteigende, kalte und sauerstoffreiche Tiefenwasser führen dort zu einer hohen Primärproduktion. Das bedeutet gute Nahrungsbedingungen für eine vielfältige und reichhaltige Fauna mit hoher Reproduktionsfähigkeit. Das bedeutet gleichzeitig ideale Bedingungen für eine vielfältige und ertragreiche Fischerei. So ist die Fischerei auch neben dem Eisenerzabbau die wichtigste wirtschaftlichen Grundlage für das Land. Das Forschungsinstitut in Nouadhibou, der zweitgrößten Stadt des Landes, schätzt das Fischereipotential innerhalb der Wirtschaftszone auf über 1 Mill. Tonnen, wovon ca. 80 % auf pelagische Arten entfallen. Die unmittelbare Nutzung der Ressourcen durch die einheimische Fischerei spielte bisher nur eine kleine Rolle. Zwar ändert sich das in dem Maße wie die Bevölkerungszahl zunimmt, aber immer noch werden die größeren Anteile der fischbaren Reserven an ausländische Fischereien vergeben, gegen Lizenzgebühren, versteht sich. Einer der Vertragspartner Mauretaniens ist die Europäische Union. Seit dem 1. August 1996 ist ein Fischereiabkommen in Kraft, das der Union Fischereirechte an bestimmten Arten einräumt. Dieses Abkommen gilt zunächst für 5 Jahre, kann aber um jeweils den gleichen Zeitraum erweitert werden. Es soll hier umrissen werden, wie sich dieser Vertrag in die biologischen, fischereilichen, sozialen und politischen Bedingungen des Landes einfügt.

25 Jahre Fischereiforschungskutter "Solea"

„Fischerei-Forschungskutter ,Solea‘ einsatzbereit“ – unter dieser Titelzeile meldete die führende deutsche Fachzeitschrift für Schiffbau und Schiffahrt „Schiff und Hafen“ in ihrer Juli-Ausgabe 1974 die Ablieferung der „Solea“ durch die Schiffswerft und Maschinenfabrik Max Siegholt, Bremerhaven, an das Bundesministerium für Ernährung, Landwirtschaft und Forsten am 29. 5. 1974. Mit dem Bau dieses Schiffes wurde eine Lücke in der deutschen Fischereiforschung geschlossen, die sich für die Arbeit der Bundesforschungsanstalt für Fischerei in zunehmendem Maße als hinderlich erwiesen hatte.

Halogenphenole in Garbädern

Bei marinen Fisch-Erzeugnissen wird gelegentlich ein starker Fehlgeruch und -geschmack bemerkt, der als "Apotheken-" oder "Medizin-Geschmack" charakterisiert wird. Die hiervon betroffenen Produktionschargen sind unverkäuflich, so daß ein erheblicher Schaden im Einzelfall entsteht. Im Rahmen eines Forschungsprojektes wurde nun ein Garbad untersucht, dass diesen Fehler im starken Maße aufwies.

Aspectos evolutivos da depressão pós-parto e fatores associados

A depressão pós-parto (DPP) é uma condição prevalente que afeta globalmente as mulheres puérperas. Uma hipótese evolutiva aborda a depressão, e consequentemente a DPP, como uma resposta proveniente da evolução do comportamento humano ao longo da História, através da seleção natural. A teoria do investimento parental sugere que os pais não investem automaticamente em toda prole; o investimento é direcionado para que o sucesso reprodutivo seja máximo. No caso de os riscos superarem os benefícios reprodutivos, sintomas de depressão se desenvolvem como sinal de alerta. O objetivo do estudo foi identificar fatores associados à DPP que fossem compatíveis com a teoria do investimento parental. Estudo transversal realizado com 811 mães de lactentes até cinco meses de idade, no município do Rio de Janeiro. A presença de DPP foi definida com base no escore da Escala de Edinburgh (EPDS). Fatores potencialmente associados à DPP foram analisados através de regressão logística com ajuste para fatores de confundimento. Os fatores significativamente associados à DPP foram: apoio social inadequado (OR 3,38; IC 95% 2,32-4,94), baixa escolaridade (OR 2,82; IC 95% 1,69-4,70), violência física entre parceiros íntimos na gestação (OR 2,33; IC 95% 1,56-3,47), idade materna inferior a 35 anos (OR 2,20; IC 95% 1,05-4,64), falta de companheiro (OR 1,90; IC 95% 1,16-3,12), internações durante a gestação (OR 1,87; IC 95% 1,12-3,14) e prematuridade do recém-nascido (OR 1,87; IC 95% 1,02-3,42). Em suma, identificamos alguns fatores associados à DPP que podem ser úteis no rastreamento e acompanhamento de mulheres de risco. Alguns dos fatores associados à DPP podem ser explicados através das hipotéses evolutivas contempladas neste estudo. Entretanto, os achados encontrados não são suficientes para esgotar o conhecimento referente a esta questão. Futuras pesquisas devem focar em diferentes abordagens desta condição e acompanhamento das consequências para as mulheres e suas famílias.

TRANSFER OF ANALYTICAL METHODS FOR THE CHARACTERISATION OF NATURAL PRODUCTS TO R&D PROCESSES OF IDOKI

IDOKI SCF Technologies S.L. is a technology-based company, set up on September 2006 in Derio (Biscay) with the main scope of developing extraction and purification processes based on the use of supercritical fluid extraction technology (SFE) in food processing, extraction of natural products and the production of personal care products. IDOKI¿s researchers have been working on many different R&D projects so far, most of them using this technology. However, the optimization of a SFE method for the different matrices cannot be performed unless we have an analytical method for the characterisation of the extracts obtained in each experiment. The analytical methods are also essential for the quality control of the raw materials that are going to be used and also for the final product. This PhD thesis was born to tackle this problem and therefore, it is based on the development of different analytical methods for the characterisation of the extracts and products. The projects that we could include in this thesis were the following: the extraction propolis, the recovery of agroindustrial residues (soy and wine) and the dealcoholisation of wine.On the one hand, for the extraction of propolis, several UV-Vis spectroscopic methods were used in order to measure the antioxidant capacity and the total polyphenol and flavonoid content of the extracts. A SFC method was also developed in order to measure more specific phenolic compounds. On the other hand, for the recovery of agroindustrial residues UV-Vis spectroscopy was used to determine the total polyphenol content and two SFC methods were developed to analyse different phenolic compounds. Extraction methods such as MAE, FUSE and rotary agitation were also evaluated for the characterisation of the raw materials.Finally, for the dealcoholisation of wine, the development of a SBSE-TD-GC-MS and DHS-TD-GC-MS methods for the analysis of aromas and a NIR spectroscopic method for the determination of ethanol content with the help of chemometrics was necessary. Most of these methods are typically used in IDOKI¿s lab as routine analyses apart from others not included in this PhD thesis.

混合碱效应对磷酸盐包边玻璃性质的影响

高功率大尺寸激光玻璃硬包边技术对于提高激光玻璃的饱和增益系数具有非常重要的价值。本文采用传统的玻璃熔制方法，研究了Li-Na混合碱效应对磷酸盐包边玻璃折射率、热膨胀系数α、玻璃转变温度Tg、膨胀软化温度Td以及溶解速率（DR）的影响规律。研究结果表明：当Li/(Li+Na)=0.5时，Tg、Td和DR取得极小值，表明混合碱效应既能降低包边玻璃的转变温度，又能提高包边玻璃的化学稳定性，这些性质对于包边玻璃的设计是非常可贵的。

Effect of lithium-sodium mixed-alkali on phase transformation kinetics in Er3+/Yb3+ co-doped aluminophosphate glasses

Er3+ doped aluminophosphate glasses with various Na2O/Li2O ratios were prepared at 1250 degrees C using a silica crucible to study mixed alkali effect (MAE). The effect of relative alkali content on glass transition temperature, crystallization temperature and thermal stability were investigated using differential scanning calorimetry (DSC). In addition, apparent activation energies for crystallization, E, were determined employing the Kissinger equation. The effect of Al2O3 content on the magnitude of MAE was also discussed. No mixed-alkali effect is observed on crystallization temperature. (c) 2006 Elsevier B.V. All rights reserved.