Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Model-Based Techniques for Aerospace Projects in Accordance with DO-178C, DO-331, and DO-333

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Applying Model-Based Techniques for Aerospace Projects in Accordance with DO-178C, DO-331, and DO-333 Ulrich Eisemann
The Use of the Fair Value Accounting Method for Investment Property in Indonesia

The purpose of this research was to examine the factors that motivate companies in selecting an accounting method to record their investment properties. This study was conducted during the adoption of International Financial Reporting Standards (IFRS) in Indonesia, i.e. the enactment of Financial Accounting Standards Guidelines (Pernyataan Standar Akuntansi Keuangan) (PSAK) No. 13 (2015) on Investment Property. Research conducted on 54 companies listed on the Indonesia Stock Exchange, which reported investment property on their financial statements for the period of 2008–2011. The results were consistent with the motivation to protect creditors through the choice of more conservative accounting methods. The results indicated that it was less likely that a company with high leverage would choose the fair value method. Additionally, this research proved that the motivation to reduce information asymmetry was associated with choosing the fair value method, whereas opportunistic motivation was not associated with choosing the fair value method. Additional findings showed that companies in the property industry were less likely to choose the fair value method. This is consistent with the political cost hypothesis, i.e. a company in the property industry avoids potential increases in tax burden due to an increase in fair value.
eaping what they sow : Benefits of remembering together in intimate ouples

Recent research suggests that remembering with a long-term partner may scaffold successful memory. To test whether collaboration reduces the episodic deficit shown by older adults, we created a social version of Addis, Musicaro, Pan, and Schacter’s (2010) episodic memory paradigm. As predicted, in Experiment 1 20 long-married, older adult couples generated more “internal” – on topic, episodic – details when they remembered together versus alone, but the same amount of “external” – off-topic, semantic – details. In
BRIDGE ESTIMATOR AS AN ALTERNATIVE TO DICKEY-PANTULA UNIT ROOT TEST Hüseyin Güler

Economic series may have unit roots. There are different methods to test unit roots in the literature. Recent studies show the advantages of using Bridge estimator for choosing the lag length of unit root tests and computing test statistics. This method penalizes the parameters of the model with a positive shrinkage parameter. For a suitable choice of the shrinkage parameter, the limiting distributions of the Bridge estimator can have positive probability mass at 0 when the true value of the parameter is zero for stationary series. Therefore, the Bridge estimator provides a method that can be used for the model selection and estimation simultaneously. It is known in the literature that Bridge estimator does the model selection while simultaneously distinguishing between stationary and unit root models for series with a unit root as well. In this study, we propose Bridge estimator to determine the integration order of series with more than one unit root. In order to do this, we apply the Bridge estimator to Dickey-Pantula model. We evaluate the size and power of the Bridge estimator with a simulation study and compare our proposed estimator with the existent Dickey-Pantula test.
Oscillatory flow in microchannels Comparison of exact and approximate impedance models with experiments

Commonly used, lumped-parameter expressions for the impedance of an incompressible viscous fluid subjected to harmonic oscillations in a channel were compared with exact expressions, based on solutions of the Navier-Stokes equations for slots and channels of circular and rectangular cross-section, and were found to differ by as much as 30% in amplitude. These differences resulted in predicted discrepancies by as much as 400% in frequency response amplitude for simple second-order systems based on size scales and frequencies encountered in microfluidic devices. These predictions were verified experimentally for rectangular microchannels and indicate that underdamped fluidic systems operating near the corner frequency of any included flow channel should be modeled with exact expressions for impedance to avoid potentially large errors in predicted behavior.
Word-forest Visualization of Discussed Topics in Social Media Comments

It becomes a norm for many organizations to use social network as a platform for internal and external communication means. Due to its extensive usage, most large organizations recognize the importance of capturing disseminated information across the social networks for the benefit of their internal perusal. However, managing and keeping track of all the information which are hidden in the piles of comments are hard to deal with. This paper presents a system that can extract, analyze and visualize information from the comments. As for the case study, Facebook is chosen due to its ability to allow people to comment freely and repetitively. The comments were extracted from selected post in Facebook using its API. The relationship between the words inside the comments will then be determined by using relationship table. Then, a visualization technique, word-forest, is used to visualize the relation between the prepared table. The prototype is tested by using selected posts in specific Facebook accounts. The result shows that users can quickly get overviews on the topics that have been discussed without having to go through all the comments on the Facebook. The system has great potential to be further explored as one of the means to get internal and external workers or public perception unobtrusively at real-time and real-life setting.
GROUP SIZE AND HABITAT USE OF HOG DEER IN ALLUVIAL FLOODPLAINS OF DUDHWA NATIONAL PARK , UTTAR PRADESH , INDIA

We studied group size and habitat use of hog deer i n Dudhwa National Park using line transect and pell et group count. Density of hog deer was 3.09/km . The overall mean group size was 2.81 ± 0.17 animals/group. Mean group size in winter was higher (2.11±0.14) as compared to summer (3.42±0.29) and difference was found to be signifi cant (F=14.34, df=1, P=0.01). Sex ratio favored females with male: female: fawn ratio was 60:100:45. The chi-square g oodness-of-fit test indicated a significant difference between in overa ll h bitat availability and usage ( x2 = 656.19, d.f. = 5, P = 0.05). Hog deer used all habitat types expect Sal forest and s howed a strong preference for upland grassland ( Pw < Pi). ). The overlap indices of hog deer with swamp deer was 55% (r = 0. 205, P = 0.05) and with chital 75% (r = 0.600, P = 0.01).
A Probabilistic Approach for Confidence Scoring in Speech Recognition

This paper discusses a method to derive a meaningful conﬁdence score for a speech segment at the phoneme level, using a frame clas-siﬁer. Multiple functions, which capture various aspects of the frame classiﬁer output, are ﬁrst introduced. The ability of these functions to discriminate between different phonemes is shown. A probabilistic approach is formulated to combine the functions to get a meaningful conﬁdence score, which reﬂects the precision of the predicted phoneme chunk. Relevant real-world datasets are used to demonstrate the effectiveness of the proposed conﬁdence scoring mechanism.
Algoritme Pendugaan Parameter Model Regresi Logistik Biner ( RLB ) dengan Maksimum Likelihood dan Broyden-Fletcher-Goldfarb-Shanno ( BFGS )

Abstrak-Pendugaan parameter pada model regresi logistik biner (RLB) tidak dapat diselesaikan secara analitik. Hal tersebut karena sistem persamaan yang dibangun oleh model RLB berdasarkan pendugaan maksimum likelihood merupakan sistem persamaan nonlinier yang sulit ditentukan penyelesaiannya. Menyelesaikan sistem persamaan tersebut berarti menentukan penyelesaian maksimumnya (optimasi). Masalah optimasi merupakan salah satu hal yang paling sulit dalam kasus komputasi numerik. Hingga sekarang terdapat banyak teori dan algoritme yang digunakan untuk menyelesaikan kasus ini. Metode Quasi-Newton (QN) merupakan salah satu penyelesaian pendekatannya. Pada QN terdapat beberapa formula, diantaranya adalah formula Davidon-Fletcher-Powell (DFP) yang merupakan jenis rank-two update dan formula Broyden-Fletcher-GoldfarbShanno (BFGS) yang memiliki sifat DFP dengan matriks Hessiannya definit positif. Algoritme yang dapat memperoleh hasil yang diinginkan dalam waktu yang singkat memiliki kompleksitas yang rendah, sementara algoritme yang membutuhkan waktu yang lama untuk memperoleh hasil tersebut mempunyai kompleksitas yang tinggi. Pada artikel dibahas algoritme pendugaan parameter model RLB dengan BFGS yang mempunyai operasi aritmetika.
A COMPARATIVE ANALYSIS OF ENVIRONMENTAL MANAGEMENT SYSTEMS : A STUDY OF THE MEXICAN MANUFACTURING SECTOR

A variety of environmental management constructs were operationalized and measured in the field at Mexican maquiladoras. These constructs included: supervisor environmental training, supervisor environmental empowerment, perceived environmental performance, employee environmental training, employee environmental teamwork, and employee environmental empowerment. Facility differences were reflected in higher rated environmental management practices and environmental performance for facilities implementing an EMS than for facilities without an EMS. The same case was partially supported when comparing facilities with a certified EMS to those that implement an uncertified EMS.
5-15-2019 THE EFFECTS OF ROBOTIC EMBODIMENT ON INTERGROUP BIAS : AN EXPERIMENT IN IMMERSIVE VIRTUAL REALITY

The dissemination of immersive virtual reality (IVR) with body tracking offers new opportunities for communication across distant places by embodying virtual avatars or actual robots. Thus, when people meet via IVR, different forms of embodiment for humans and artificial intelligence become possible, which may influence the perception of the self, the encoding of information and the evaluation of communication partners. In this research-in-progress paper, we draw upon research on self-presence and social identity theory to investigate how robotic embodiment influences intergroup bias in the context of a user who sees a group discussion of individuals embodied in avatars with different degrees of visual and mental humanness. We hypothesise that less humanness leads to higher misattribution of debaters‘ contributions and more negative evaluations of these debaters. Additionally, we assume that this effect is diminished when the users who watch the group discussion are embodied in an avatar with low humanness.
The Ubiquitous Patterns of Incorrect Answers to Science Questions : The Role of Automatic , Bottom-up Processes

Nonexperts often exhibit regular and persistent patterns of errors when answering questions about science concepts. Typically, these patterns are considered to be due to high-level mental structures such as concepts or mental models that are different from the relevant expert concepts. Here, I consider the systematic influence of automatic, bottom-up processes on answering patterns to science questions. General evidence of the existence of top-down and bottom-up processes is surveyed from a variety of areas in cognitive science. Specifically, it is found that patterns of incorrect answering are a significant empirical driving force behind many investigations in learning and performance, and many of these areas invoke the need for bottom-up mechanisms to explain observations. The application of some of these mechanisms to the area of student answering of science questions is discussed. In particular, it is hypothesized that patterns of incorrect answering on a broad class of science questions are strongly influenced by the phenomenon of competition between relevant and irrelevant information in the questions. I investigate the particular cases in which the outcomes of this competition are mediated by the relative processing times and allocation of attention to relevant and irrelevant information in questions. These mechanisms result in predictable patterns of response choice, response time, and eye gaze fixations, and I discuss some studies suggesting that these mechanisms are at work when students answer specific physics questions. If, as suggested, automatic, bottom-up processes play a role in performance on science tasks, then this has important implications for models of understanding and
Talk : 3 ( 3 ) Errors , Biases , and Corrections for Weighing Gauge Precipitation Measurements from the WMO Solid Precipitation Intercomparison Experiment

Although precipitation has been measured for many centuries, precipitation measurements are still beset with significant biases and errors. Solid precipitation is particularly difficult to measure accurately, and biases between winter-time precipitation measurements from different measurement networks or different regions can exceed 100%. Using precipitation gauge results from the WMO Solid Precipitation Intercomparison Experiment (WMO-SPICE), errors in precipitation measurement caused by gauge uncertainty, spatial variability in precipitation, hydrometeor type, and wind are quantified. The methods used to calculate gauge catch efficiency and correct known biases are described briefly. Transfer functions describing catch efficiency as a function of air temperature and wind speed are also presented. In addition, the biases and errors associated with the use of a single transfer function to correct gauge undercatch at multiple sites are discussed.
Research and Design on Vehicle Pedestrian Detection in Natural Scene

We propose a two-layer pedestrian feature extraction algorithm based on multi features fusion in integral channel, which is gained by intelligent driving system in natural environment. The algorithm extracts the gradient direction, gradient magnitude and LUV color channel of the image as upper layer feature, by using the fast operation speed of integral channel. Edgelet features that describe pedestrian local information are used as lower level features for validation. While ensuring real-time detection, we improved the low robustness of single layer features. Experimental results show the algorithm can reduce the false detection rate to a great extent under the premise of ensuring the detection speed in dealing with pedestrians in the background of natural and complicated vehicles.
Zero-Shot Classification by Generating Artificial Visual Features

This paper addresses the task of learning an image clas-sifier when some categories are defined by semantic descriptions only (visual attributes) while the others are also defined by exemplar images. This task is often referred to as Zero-Shot classification (ZSC). Most of the previous methods rely on learning a common embedding space allowing to compare visual features of unknown categories with semantic descriptions. This paper argues that these approaches are limited as i) efficient discriminative classi-fiers can't be used and ii) classification tasks with seen and unseen categories (Generalized Zero-Shot Classification or GZSC) can't be addressed efficiently. This paper suggests to address ZSC and GZSC by i) learning a conditional generator using seen classes ii) generate artificial training examples for the categories without exemplars. ZSC is therefore turned into a standard supervised learning problem. Experiments with 4 generative models and 6 datasets experimentally validate the approach, giving state-of-the-art results on both ZSC and GZSC.
06 Comparisons of Gauge and Satellite Rain Estimates for Thailand During September 1998

Remote Rainfall Measurements from space is the new technology in Applied Meteorology for Thailand, where is located in N-S elongated direction over In do-China Peninsula from 5 ̊-21̊ N and influenced by rainfall from monsoons and tropical storms. Rainfall measure ment with a sparse network is dominated problem for disaster monitoring, prediction and mitigation. Prediction o f rainfall in un-gauged basins with remote sensing from satellite technology is the most important and attractive for the region. Since, Tropical Rainfall Measuring Mis sion (TRMM) satellite project, established the first Active Mic rowave Precipitation Radar (PR) onboard TRMM as the first space weather surveillance radar station. The excellent c o ceptual designs give TRMM the merit to observe ver tical rain profile from the top of cloud propagate until the s urface effectively. This merit is picked up for this study to find the relationship between rainfall intensity and cloud t op temperature. The technique, called primary estima tor using Bayes Theorem, to achieve Precipitation Index (PI) w hich combined from probability of rain occurrence a nd mean rain rate were investigated for quantitative derive d-rainfall from Geostationary Meteorological Satell i (GMS) infrared (IR) channels. Data processing for 24-h ac cumulations was calculated over four different surf ace backgrounds in September 1998 during effected perio d of Inter-tropical Convergence Zone (ITCZ) in the Ind oChina peninsula. Results show that the primary esti mator has modest skill for a spatial resolution wit h larger grid sizes in case of mesoscale convective complexes (MC Cs). Until further improvements to down scale for sh ort temporal, the use of this technique for stratiform events with wind ward or lee ward of terrain, inclu ding strong and large scale convective events should be considered with caution.
Bayesian change-point analysis in hydrometeorological time series . Part 2 . Comparison of change-point models and forecasting

This paper provides a methodology to test existence, type, and strength of changes in the distribution of a sequence of hydrometeorological random variables. Unlike most published work on change-point analysis, which consider a single structure of change occurring with certainty, it allows for the consideration in the inference process of the no change hypothesis and various possible situations that may occur. The approach is based on Bayesian model selection and is illustrated using univariate normal models. Four univariate normal models are considered: the no change hypothesis, a single change in the mean level only, a single change in the variance only, and a simultaneous change in both the mean and the variance. First, inference analysis of posterior distributions via Gibbs sampling for a given change-point model is recalled. This scientific reporting framework is then generalized to the problem of selecting among different configurations of a single change and the no change hypothesis. The important operational issue of forecasting a future observation, often neglected in the literature on change-point analysis, is also treated in the previous model selection perspective. To illustrate the approach, a case study involving annual energy inflows for eight large hydropower systems situated in Que ́bec is detailed. q 2000 Elsevier Science B.V. All rights reserved.
Research on control strategy based on multi-mode switching of photovoltaic grid connected inverter

Aim at making the grid connected inverter controlled in a targeted manner; a control strategy based on multi-mode switching is presented in this paper. Combined with operation status of PV grid connected system, the operation of grid connected inverter can be divided into the following four kinds of operation mode, namely maximum P mode, f-P mode, V-Q mode and P-Q power mode, meanwhile, the partition condition of the model is given. Based on the four operation modes of grid connected inverter, the four control modes of inverter are defined. In the control strategy, the control idea of the operation mode inner and among the several operation models is given respectively. According to the two stage structures of single phase full-bridge inverter, application characteristics of various models are analyzed in detail, and the corresponding control strategy of grid connected inverter is given. For problem of PV grid connected system that exits in the process of operation mode switching, the corresponding control link is regarded as the feed-forward before switching mode to change the droop coefficient, achieve the smooth switching among models and eliminate the impulse caused by system. MATLAB simulation result shows the correctness of model control and effectiveness of mode switching control.
ETL Data conversion: Extraction, transformation and loading Data conversion

The essential elements of decision support system are data warehousing and on-line analytical processing (OLAP), which are focus of the database industry. Recently, many commercial products and services are database management system vendors. Decision support places some rather different requirements on database technology compared to traditional on-line transaction processing applications. The researchers and developers had proposed various trials on new requirements of data warehousing and OLAP technologies to put a standard conceptual design of ETL processes in data warehouse. To avoid limitations of the previous trials, the author proposed: 1. The model for conceptual design of ETL processes and entity mapping diagram (EMD), which is built upon the enhancement of the models to support some missing mapping features. 2. The conceptual model in a prototype called EMD Builder and uses it in an illustration scenario. This is an ETL project,, which focuses on data transformation and loading in Oracle Data warehouse. Extraction–transformation–loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, its cleansing, customization, reformatting, integration, and insertion into a data warehouse. Structure the ETL development be potentially one of the major tasks of construction a warehouse; it is difficult, time consuming, and consume most of data warehouse project’s implementation efforts, costs, and resources. In spite of the importance of ETL processes, little research has been done in this area due to its complexity. There is a apparent lack of a ordinary sculpt that can be used to be a symbol of the ETL case scenarios. In this paper we will try to navigate through the efforts done to conceptualize the ETL processes. These projects try to represent the main mapping activities at the conceptual level. Due to the differences and variation stuck between the planned solutions for the intangible design of ETL processes and due to their limitations, this paper also will propose a model for conceptual design of ETL processes. The proposed model is built upon the enhancement of the models in the previous models to support some missing mapping features.