Miracle-dz/UniFAR-FTUs huggingface dataset:
THE APPLICATION OF CONFIDENCE INTERVAL IN THE EVALUATION OF ELECTRIC ACTUATION DUTY CYCLE

Electric actuators will soon become the dominant flight control system for the More Electric Aircraft (MEA), replacing the traditional centralized hydraulically controlled system. For decades, electric actuation has been used on aircraft secondary flight control and utility systems. With recent advancement in motor and power electronics technology and the desire to build more energy-efficient airplanes with reduced maintenance cost, air framers are starting to evaluate the widespread usage of electric actuation on primary flight control surfaces. Traditional hydraulic actuators are sized using the combination of surface hinge moment or stall force and deflection rate. When designing electric actuators, duty cycle has emerged as one of the most critical design parameters for the electric actuator. Duty cycle must be analyzed from the standpoint of heat generation under normal operation, holding loads and life expectancy of the electrical and mechanical components. There are many factors that affect the generation of repeatable and reliable duty cycle data. This paper discusses a statistical method for developing aircraft flight control surface actuator duty cycle to support the design of electric actuation systems for the MEA.
MORPHO-PHYSIOLOGICAL RESPONSES OF ALHAGI SPARSIFOLIA SHAP . ( LEGUMINOSAE ) SEEDLINGS TO PROGRESSIVE DROUGHT STRESS

Water is a key limiting factor influencing plant growth and development in arid ecosystem. To explore the mechanisms of the desert plant Alhagi sparsifolia seedlings to tolerate drought stress in extreme desert, an experiment was conducted from July to September in 2010 with four water treatments: 100% (W100), 80% (W80), 60% (W60) and 45% (W45) of water holding capacity (WHC). Plant growth, photosynthesis, nutrient content and water use efficiency (WUE) were measured. The results showed that plant growth, branch number, biomass allocation, number of leaves and area per leaf as well as leaf area ratio with drought stress treatments (W80, W60 and W45) decreased than W100 treatment, while root/shoot ratio and specific leaf area increased gradually throughout the experimental duration. Furthermore, photosynthetic pigment content, light-saturated photosynthetic rate, and concentration of carbon and nitrogen in plant significantly decreased with increasing drought stress. The WUE at W100 and W80 treatments increased significantly at the beginning of drought stress treatment and then reduced with stress prolonged. In conclusion, the desert plant A. sparsifolia can tolerate the progressive drought stress due to the strong plasticity of morphological and physiological traits. The critical level of soil WHC to limit the growth and dry mass production of A. sparsifolia seedlings in the southern fringe of the Taklimakan Desert was approximately at 45%.
SenTenCE : A multi-sensor data compression framework using tensor decompositions for human activity classification

In this paper, we introduce SenTenCE (Sensor-Tensor Compression Engine), a tensor decomposition based lossy data compression framework for on-phone Inertial Measurement Unit (IMU) sensor data. We show that this technique achieves impressive data compression ratios with acceptably low percent-root mean square distortion that in turn results in negligible change in the classification accuracy of the Deep Convolutional Neural Network (DCNN) based supervised human activity classifier that is trained with the compressed data instead of the raw uncompressed data.
ON MODELLING SPINE CURVATURE DEPENDENT ON MUSCULAR AND EXTERNAL FORCES IN MULTIBODY DYNAMICS SYSTEM 1

INTRODUCTION The shape of the curved lumbar spine and associated muscle forces can be very descriptive and helpful in understanding of different spine curvature disorders, low back pain and even some pathological scenarios. Furthermore, this knowledge can be used to develop rehabilitation strategies or to state new physiotherapeutic recommendations. Alternatively it can be utilized for the design of new medical devices, e.g. spine fusion or intervertebral disc replacement elements. However, in vivo measurement of such forces is a difficult and often unethical task. A good computational model would certainly be of great help for answering such research questions. Several existing models suggest using a predefined shape of the spine based on the thoracopelvic angle and kinematic rhythm [1], or a fitted B-spline into recorded vertebral positions [2], etc. However, these assumptions are too simplistic and obviously do not describe interpatient and muscle-induced variability. This paper proposes a technique of modelling lumbar spine curvature caused by an immediate force configuration in the body, e.g. the lumbar spine adjusts its shape for a particular simulation step based on the muscular and external forces.
Near-Forecasting Spatio-Temporal Data Processing Based on Cloud Computing Architecture

Spatio-Temporal data processing is one solution to the problem of near-forecasting meteorology related issues. Nowadays high precision near-forecasting related research work based on big data and cloud computing technology is carried out and the rapid prediction of the strong convective weather disaster is established by implement the near-forecasting algorithm. Therefore, accumulation mechanism and storage architecture play important role in determine the quality of data and precision of near-forecasting result. This research builds cloud storage and cloud computing architectures through HDFS and MapReduce, also designs ETL process model against for complex heterogeneous space weather and the data quality control strategy which based on dynamic incremental rule engine and Inverse Space-Time Distance Weighted is proposed. This research used about 3500 million Doppler radar echo intensity data which May to September of 2015 year of Lanzhou City. Experiments show that dynamic incremental rule engine can effectively detect radar missing data and abnormal situation, Inverse Space-Time Distance Weighted(ISTDW)has better performance compared with other algorithms in processing echo intensity data, the cloud architecture can well support to the whole solution operation.
Effects of plasticizer concentrations on functional properties of chicken skin gelatin films

The aim of this study was to investigate the functional properties of chicken skin gelatin films with varied concentrations of a hydrophilic plasticizer. Gelatin film solutions with different glycerol concentrations A(control), B(5%), C(10%), D(15%) and E(20%), were stirred at 45°C for 20min and oven dried at 45°C. Film characterization determination were included, tensile strength (TS), elongation at break (EAB), water vapor permeability (WVP), solubility, transparency, moisture content, Fourier Transform Infrared Spectroscopy (FTIR), and X-ray Diffraction (X-RD). Glycerol added resulted in improvement of TS and WVP properties. Film B (5% glycerol) demonstrated low EAB (106%), WVP (0.0175 g.mm/h.m2.k.Pa) and solubility (58.64%), but with high TS (3.64 MPa), moisture content (16.0%), UV light transmission (0.04%) and transparency (0.81) compared to films C, D and E. FTIR spectrum analyses demonstrated an aliphatic alcohol group only for Film E (20% glycerol). Hence, chicken skin gelatin film at 5% glycerol concentration showed the most promising potential for industrial food processing applications.
Training a multi-label FastXML classiﬁer on the OpenImages dataset

Multi-label image classiﬁcation is the task of assigning a set of one or more labels to a given image. For this task we built a multi-label classiﬁer by using so called transfer learning: we used a pre-trained deep neural network called VGG16 to extract a set of features to subsequently train a FastXML classiﬁer with these features.
Using Multiple Experts to Evaluate the Authenticity of Chinese Antiques

Recently, with the growing wealth of Chinese nationals, Chinese historical works of art/antiques are now used as an alternative form of investment. Unlike other forms of investment such as real estate or stocks, Chinese antiques are plagued with fakes. In spite of this, there is very little research in the area of providing useful models in evaluating the authenticity of Chinese antiques. In this paper, we propose a quantitative approach that incorporates both the objective and subjective criteria in the evaluation of Chinese antiques using multiple experts. This approach is able to solicit the qualitative inputs from multiple experts in the evaluation of the authenticity of the Chinese antique. The model does not assume that the experts have achieved a consensus with respect to any of the criteria. A numerical example is used to illustrate the model.
SimMips A MIPS System Simulator

We have developed SimMips, a simply coded MIPS system simulator written in C++, to meet increasing demands for embedded system education. In this paper, we show the simplicity of SimMips by describing its concept and implementation. And we show the comprehensibility, taking examples of using it as a lecture material. We designed and implemented SimMips considering the hardware organization of the target computer system. We introduce a palmtop hardware embedded system named MieruPC which includes a MIPS-like soft processor based on SimMips, to reveal flexibility of SimMips.
Clay-based bricks porosity estimation using Voronoi diagram segmentation

This work intends to apprehend the contribution of image processing techniques and computer vision in the characterisation of clay-based material known in Meknes-Morocco region. One of various characteristics to describe clay in a qualitative manner is porosity as it is considered one of properties with “kill or cure” effectiveness. For this, we use Scanning Electron Microscopy (SEM) images, as they are proved the best tool to characterise the quality of microscopical pore structure of porous materials. As we are only interested in pore region, we first apply segmentation based on Voronoi Diagram and 1D histograms. The results show a good match in comparing the imaging measurements with the experimental calculus using chemical process.
ISOLATION AND IDENTIFICATION OF SALMONELLAE AND E . COLI FR OM MEAT AND POULTRY CUTS BY USING MULTIPLEX PCR

A total of 100 random samples of chicken (thigh and breast) and red meat cuts (mutton and beef shoulders) were collected from different poulterer’s and butcher’s shops at Cairo, ElKalyobia and El-Gharbia governorates to detect level of Salmonella and E.coli contamination. The obtained results indicated that salmonella organisms were isolated from the examined samples of chicken thigh, chicken breast, mutton and beef with percentages of 16%, 16%, 8% and 8% respectively. Moreover, the isolated Salmonellae could be serologically identified as S. Typhimurium (28%), S. Enteritidis (16%) and S. Haifa (4%). On the other hand, the percentages of isolated E. coli from the examined samples of chicken thigh, chicken breast, mutton and beef were 16%, 12%, 28%and 12% respectively. Moreover, the results cleared that PCR is an ideal method for identification of Salmonella spp. as it was effective, less labor and more sensitive as well as reduces effort and time. Out of 10 strains of different serotypes of Salmonella isolated from chicken (thigh and breast), mutton and beef by traditional method, 4 strains were positive in m-PCR for Salmonella from which, one strain was identified as S. Typhimurium. As well as out of 10 strains of different serotypes of E . coli isolated from chicken (thigh and breast), mutton and beef shoulders, 2 strains were positive in m-PCR. E.coli O55: K59 (B5) and E.coli O119: K69 (B14) isolated from thigh and breast, respectively, which were positive for elt gene (labile toxin).
SCHEDULING ALGORITHM FOR CPU-GPU BASED HETEROGENEOUS CLUSTERED ENVIRONMENT USING MAPREDUCE DATA PROCESSING

MapReduce is a popular large-scale data-parallel processing model for analysing and processing large massive data sets. Its success has stimulated several studies of implementing MapReduce on Graphic Processing Unit (GPU). Hadoop’s has motivated research interest and has led to different modifications as well as extensions to framework. The Graphics Processing Units (GPU) are widely used in the High-Performance Computing world to enhance job throughput, as its architecture is quite data-parallel friendly. The problem is to find Software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analysing big data sources to improve business performance or mitigate risk in major data processing tools. MapReduce has also been widely adopted to solve Big Data problems and in this scenario combination of CPU and GPU will provide huge advantage over the scheme where only CPU is utilised. By default, Hadoop supports some fairly simple scheduling policies e.g. FIFO, fair scheduling, or capacity scheduling. In this paper we will study about MapReduce implementation of big data analysis using heterogeneous CPUGPU scheduling to improve the performance of the system.
Spin-current generation from liquidmetal flow 松尾 衛

電子は、電気と磁気の 2 つの性質を持っており、磁気 の起源は「スピン」とよばれる電子の自転運動であるこ とが知られています。 近年、微細加工技術のめざましい 進展に伴い、電気の流れである電流だけでなく、「スピ ン流」と呼ばれる磁気の流れを生み出すことができるよ うになりました。 スピン流は、電流に比べて発生する ジュール熱が大幅に抑制されることが知られており、電 子デバイスへのスピン流利用は、次世代省エネルギー電 子技術として注目されています。 これまでスピン流の生成制御には電磁場、熱、音など と電子スピンとの相互作用を利用して、様々な形態のエ ネルギーをスピン流に変換する技術が確立されてきまし た。 ところが、これらのスピン流利用はすべて固体物質 中に限られており、液体金属のような流体でスピン流を 生成できるかは不明でした。 一方、コンピューターで用いられる論理集積回路は 年々高密度集積化が進み、それに伴う消費電力や発熱の 増大が問題となっています。 この解決策の1つとして、 液体金属の利用が提案されています。 従来の固体金属導 線を液体金属に置き換えることによって、消費電力を抑 制し排熱能力を向上させることが検討されています。 このような背景から、私たちはスピン流を液体金属中 で生成制御することによって、スピン流と液体金属とい う両者のメリットを兼ね備えた全く新しい省エネルギー デバイスが実現できると考えて研究を進めてきました。
Title: Economic Integration, Poverty and Regional Inequality in Brazil Authors:

Gains and losses from trade liberalization are often unevenly distributed inside a country. For example, if budget shares vary according to household income, changes in commodity prices will redistribute an overall welfare change between household types. Household incomes will also be differentially affected. Sectoral differences in factor-intensity mean that changes in industrial structure cause redistribution of income between primary factors. Particular primary factors (such as capital, or less skilled labour) may contribute disproportionately to the incomes of certain household types. The fortunes of such households indirectly depend on the prospects of particular sectors. We emphasize these distributive issues, especially those arising from the income side. At the same time we distinguish households by regions (within the country). The regional distinction sharpens the contrast between groups of households. Particular regions have their own patterns of economic activity and so are differently affected by changes in the industrial protection structure. Since regional household incomes depend closely on value-added from local industries, economic change will tend to redistribute income between regional households. If the regional concentration of poverty is more than we could predict by regional primary factor endowments and industry structure, the addition of a regional dimension will add power to our analysis of income distribution beyond the mere addition of interesting regional detail. The paper deals with these issues more fully. We extend previous regional modeling of Brazil to include the intra-household dimension, addressing poverty and income distribution issues that may be caused by trade integration. An applied general equilibrium (AGE) inter-regional model of Brazil underlies our analysis, with a detailed specification of households. The model is static and solved with GEMPACK. The Representative Household (RH) hypothesis is abandoned; instead a micro-simulation (MS) model is used to track changes in household income and expenditure patterns. This micro-simulation model is built upon two Brazilian household studies: (1) the Household Budget Survey (POF, IBGE, 1999) covers detailed expenditure patterns for 16,013 households and 11 regions in Brazil in 1996; (2) the National Household Sample Survey (PNAD, IBGE, 1997) is a yearly survey that includes detailed information about household employment and income sources, with 331,263 observations. We integrate the two data sources to produce a detailed mapping of expenditure and income sources for 112,055 Brazilian households and 263,938 adults, distinguishing 42 activities, 52 commodities, and 27 regions.
Delay of Outpatient Sleep Study Results to Pediatric Otolaryngology Patients and Families

Objective. We undertook this quality improvement project to improve communication of outpatient pediatric sleep study results to families in a consistent and timely manner. Methods. Based on the Institute for Healthcare Improvement quality improvement methodology, multiple key drivers were identified, including standardizing documentation and communication for sleep study results among the otolaryngology department, sleep center, and families. Meaningful interventions included developing standard electronic medical record documentation and utilizing otolaryngology nurses and advanced practice nurses to assist with communication by sending the results from the sleep center to both the referring otolaryngology provider and the triage nurses. The primary outcome measure was the monthly proportion of sleep studies communicated by the otolaryngology department to families within 3 business days. Results. Average monthly sleep study results communicated to families within 3 business days increased from 31% to 92.9% over the study period (P \ .0001). Sleep study results were personally communicated via telephone and voicemail in 60.88% and 34.0% of cases, respectively. Approximately 50.0% of families receiving voicemails later contacted our department for their children’s study results. Discussion. Novel documentation strategies and involvement of our entire clinical team (physicians, nurses, and advanced practice nurses), allowed us to significantly improve the consistency and timeliness of our communication of outpatient sleep study results to families in a proactive manner. Implications for Practice. With time-sensitive clinical test results, such as those from pediatric sleep studies, intraand interdepartmental collaboration and standardization of the communication process and documentation may allow for more expedient care of children with suspected obstructive sleep apnea.
WILL IT BE POSSIBLE TO ACHIEVE A SIMPLER AND EFFICIENT FARE STRUCTURE ? – CASE STUDY OSLO *

In many cities in the world zone systems are used for public transport fares. Such systems may very well approximately accord with economically efficient pricing. The reason is that zones can vary with size and location so that prices can approximately reflect the social marginal costs of journeys. We believe, however, that many cities use an excessively large number of zones, which is not necessary and complicated for the passengers. In this paper we hope to be able to demonstrate that such a complicated zone systems can be substantially simplified while maintaining or even improving economic efficiency. We will describes how the zone fare structure in the city of Oslo can be improved, but also implementation difficulties including conflicting distribution issues etc. in the political process, The political aim is now to introduce the new system early in 2011. The basis for this paper is a work financed by Ruter AS, the public transport authority in the Oslo region (Oslo and Akershus), Norway. The result of the work is found in Ruter As (2008) and Jansson (2008).
Chapter 5 Nanofiltration Mediated by Surfactant Micelles : Micellar-Enhanced Ultrafiltration

Surfactant micelle-assisted removal of ions and organic solutes from aqueous media by micellar enhanced ultrafiltration (MEUF), which is a membrane separation technique, is discussed in detail. Following general information about micellar structure, counterion binding, substrate solubilization, and medium effect functions of micelles which enable separation of cationic or anionic ions and organic molecules from aqueous media by MEUF are explained in a comprehensive manner. Some of the recent studies on removing pollutants from wastewater effluents of industrial plants by MEUF, and their results have been summarized to inform about the factors affecting the removal efficiency of this technique. Methods for recovery of surfactant and contaminants from retentate or permeate solutions are also given. Selective separation of metal ions of the same charge from multicomponent solutions is another topic of this chapter. In this context, the last part of the chapter provides an overview on every aspects of ligand modified MEUF (LM-MEUF) process. This report comprises a comprehensive review of MEUF and LM-MEUF studies in the literature.
Determining Of Critical Success Factors for TQM Execution in Ship Building Industry of Bangladesh

Now a day, improving quality has turn into a company-wide endeavour as the escalating globalization of trade & commerce underscore the inevitability of incessant enhancement. Total quality management (TQM), is one of the favored technique to conquer this stratum. TQM plays a vital role in improving productivity as well other developments in the arena of ship building industry. This paper aims to determine critical success factors (CSF) for TQM implementation in ship building industry in perspective of Bangladesh. Ship building Industry is an important economic and industrial sector in Bangladesh. Bangladesh is a maritime nation with 9,000 sq km of territorial waters, 720 km long coastline. It has 700 rivers that come down from the surrounding countries and which provide 24000 km long inland waterways. It’s a growing industry in Bangladesh with great potentials. Shipbuilding has become a major promising industry in recent years when the locally made ships began to be exported. In this article, three types of research methodologies ( face to face semi structured interviews, questionnaires and observation) are followed to investigate critical success factor for TQM implementation in ship building industries in Bangladesh, with a view to stimulating the performance and find out the main barriers to implement TQM successfully in this field.