Miracle-dz/UniFAR-FTUs huggingface dataset:
On the ringdown transient of transformers

In this thesis a general purpose transformer model for low and medium frequency transient studies is developed and verified. The inrush current phenomena during no-load energization of power transformer is analyzed with special attention. The main challenge is to develop a general model that is valid for a wide range of studies, while it relies on a limited number of commonly available input data. The development of such engineering model is the ultimate research goal. The power transformer is an essential component in power systems and with exception of transmission lines, it has the greatest exposure to electrical transients of all devices. The models used to predict its transient behaviors are however not always adequate due to both lack of data/measurements and knowledge. Situations of special concern are inrush currents, switching and lightning impulse stresses, induced overvoltages and harmonics. To predict the electromagnetic stresses on transformers, a calculation model must be established. The single-phase based equivalent representation used in most of the present simulation packages does not sufficiently account for the coupling between phases and the differences caused by various iron core structures. The representation of hysteresis, anomalous losses and remanence also needs improvements. A valuable way to achieve a deeper understanding of the inrush current phenomena is through extensive laboratory measurements on distribution transformers and field measurements on power transformers. Experimental data are highly beneficial in the verification of the developed model.
BANDSTOP TO ALLPASS RECONFIGURABLE FILTER TECHNIQUE IN SPDT SWITCH DESIGN

In this paper, a bandstop to allpass reconflgurable fllter technique is proposed in Single Pole Double Throw (SPDT) switch design. Proof of concept of the bandstop to allpass reconflgurable fllter is presented. It is physically realized using transmission line and radial stub in 3.5GHz band (3.4 to 3.6GHz). The isolation, insertion loss and return loss of the SPDT switches are analyzed and to validate this technique the prototypes are fabricated using FR4 substrate with a thickness of 16mm. A very good agreement is shown between the simulated and measured results. Using this technique, it is able to produce more than 30dB isolation with minimum number of PIN diodes, thus reducing 42.7% of the total circuit size compared with conventional design. Besides, additional 22.9% of isolation bandwidth can be obtained with the use of radial stub compared with transmission line stub. The potential application of this SPDT switch is Time Division Duplex (TDD) switching for WiMAX and LTE communication system in the 3.5GHz band.
Verification of temporal properties of infinite state systems

It is no secret that computer software programs, computer hardware designs, and computer systems in general exhibit errors. Testing and simulation methods can identify many significant problems, but for systems that have safety or economically critical requirements, exhaustive verification is indispensable. Such exhaustive analysis can be performed with the use of formal verification methods. One approach to formal verification is model checking, which is a fully automated process based on the construction of abstract models to represent systems. These models are then checked against desired properties defining a specification, usually expressed in some temporal logic, such as linear temporal logic (LTL). Temporal properties can describe the ordering of events in time without introducing time explicitly, thereby being useful when verifying the possible executions of a system. This project aims to implement model checking algorithms that determine whether an LTL formula expressing a desired property is satisfied in a computing system.
How to secure web servers by the intrusion prevention system (IPS)

show limits on intrusion detection/attacks by the fact that most web vulnerabilities are specifically for specific applications may be developed in-house by companies. Behavioral methods are therefore an interesting approach in this area. An IPS (Intrusion Prevention System) is a tool that is used to enhance the security level. We present here the secure IPS architecture web server. We will also discuss measures that define the effectiveness of our IPS and very recent work of standardization and homogenization of our IPS platform. The approach relies on preventive mechanisms: it is then to develop devices capable of preventing any action that would result in a violation of the security policy. However, experience and results show that it is impossible to build a fully secure system for technical or practical reasons.
Organic and inorganic aerosol compositions in Ulaanbaatar, Mongolia, during the cold winter of 2007 to 2008: Dicarboxylic acids, ketocarboxylic acids, and α‐dicarbonyls

[1] To investigate the distributions and sources of water-soluble organic acids in the Mongolian atmosphere, aerosol samples (PM2.5, n = 34) were collected at an urban site (47.92°N, 106.90°E, ∼1300 m above sea level) in Ulaanbaatar, the capital of Mongolia, during the cold winter. The samples were analyzed for water-soluble dicarboxylic acids (C2–C12) and related compounds (ketocarboxylic acids and α-dicarbonyls), as well as organic carbon (OC), elemental carbon, water-soluble OC, and inorganic ions. Distributions of dicarboxylic acids and related compounds were characterized by a predominance of terephthalic acid (tPh; 130 ± 51 ng m−3, 19% of total detected organic acids) followed by oxalic (107 ± 28 ng m−3, 15%), succinic (63 ± 20 ng m−3, 9%), glyoxylic (55 ± 18 ng m−3, 8%), and phthalic (54 ± 27 ng m−3, 8%) acids. Predominance of terephthalic acid, which has not been reported previously in atmospheric aerosols, was mainly due to uncontrolled burning of plastic bottles and bags in home stoves for heating and waste incineration during the cold winter. This study demonstrated that most of the air pollutants were directly emitted from local sources such as heat and power plants, home stoves, and automobiles. Development of an inversion layer (<700 m above ground level) over the basin of Ulaanbaatar accelerated the accumulation of pollutants, causing severe haze episodes during the winter season.
Peer-To-Peer Lending: Classification in the Loan Application Process

This paper studies the peer-to-peer lending and loan application processing of LendingClub. We tried to reproduce the existing loan application processing algorithm and find features used in this process. Loan application processing is considered a binary classification problem. We used the area under the ROC curve (AUC) for evaluation of algorithms. Features were transformed with splines for improving the performance of algorithms. We considered three classification algorithms: logistic regression, buffered AUC (bAUC) maximization, and AUC maximization.With only three features, Debt-to-Income Ratio, Employment Length, and Risk Score, we obtained an AUC close to 1. We have done both in-sample and out-of-sample evaluations. The codes for cross-validation and solving problems in a Portfolio Safeguard (PSG) format are in the Appendix. The calculation results with the data and codes are posted on the website and are available for downloading.
Stereoscopic analysis of multiple images

A new algorithm to recover depth from a sequence of two or more stereoscopic images is presented. The algorithm, which uses a dynamic programming approach, builds a dense depth map and allows the camera displacement between each image to be any combination of rotation and translation. Since no smoothing constraint on depth is used, occlusions and depth discontinuities along the border of objects are preserved and easy to identify. For a given cost function, the algorithm finds the optimal correspondence along epipolar lines. In our case, this function is the difference of intensities between corresponding points, adjusted with a factor accounting for occlusions. Tested on non-trivial synthetic image sequences with true depth map available, we obtain a mean disparity error of less than one pixel.
The lexicon of mainstreaming equality: Gender Based Analysis (GBA), Gender and Diversity Analysis (GDA) and Intersectionality Based Analysis (IBA)

In the last 15 years, much debate has ensued at the international level regarding gender mainstreaming (GM), its efficacy and future utility. In Canada, similar discussions have taken place where GM has largely been operationalized in the form of gender-based analysis (GBA). However, there has been a lack of clarity regarding the ways in which GBA as a conceptual framework compares to other approaches available for working towards equality in public policy, namely gender and diversity analysis (GDA) and intersectionality-based analysis (IBA). As a result, the potential of these models to respond to diversity and inequality, especially GBA and GDA, are often overstated and/or conflated. The purpose of this paper is to elucidate the similarities and differences between GBA, GDA, and IBA. This analysis illuminates the strengths and limitations of these types of approaches, especially in terms of how each conceptualizes and is able to address a wide variety of diversities among the Canadian population. This paper argues that only IBA is flexible enough to capture the multidimensional nature of oppression and discrimination because it disrupts the systematic prioritization of gender as a starting place for assessing experiences of inequality.
The Use of Feed-forward and Feedback Learning in Firm-University Knowledge Development: The Case of Japan

The problem Japanese universities face is exactly the same as that of German universities: no international recognition in world rankings of universities despite their high levels of postwar economic and technological developments. This was indeed one reason why world-class Japanese firms, such as Toyota and Sony, have avoided working closely with Japanese universities for R&D partnership and new technology commercialization. To resolve this problem, the Japanese government has continuously implemented aggressive policies of the internationalization, privatization, liberalization, and privatization of universities since the onset of the economic recession in 1989 in order to revitalize the Japanese economy through radical innovation projects between universities and firms. National projects of developing medical robots for Japan's ageing society are some of the ambitious examples that emphasize feed-forward learning in innovation. However, this paper argues that none of these programs of fostering university-firm alliances toward feed-forward learning has been successful in promoting the world ranking of Japanese universities, although they showed potentials of reinforcing their conventional strength of introducing kaizen through feedback learning of tacit knowledge. It is therefore argued in this paper that Japanese universities and firms should focus on feedback learning as a way to motivate firm-university R&D alliances.
The Devil is in the Details: Policy Design Lessons from Field Experiments in the Pampas

There is growing evidence that individual responses to public policies are, to a large extent, mediated by the way the policies are framed, by people's cognitive and computational capabilities, and by people's subjective beliefs. For example, people may react to price changes but not to complicated schemes that rely on people's computational abilities. Similarly, people may react better to simple information such as a picture than to a very detailed analysis of benefits and costs. Henceforth, even very well-intentioned policies may not have the desired impact if they do not take into account people's capabilities and beliefs. This policy paper draws lessons that should help policymakers design more effective public policies by reviewing the evidence coming from recent field experiments and quasiexperiments sponsored by the Inter-American Development Bank.
Proposed Algorithm of Sentiment Analysis for Punjabi Text

Sentiment Analysis is to identify and classify the opinions/emotions/sentiments in written text. Till date, English Language includes most of the research work in this area. In this paper, we discussed the various approaches used to accomplish the sentiment analysis and research work done for Indian Languages like Hindi, Bengali and Telugu. We proposed an algorithm by using subjective lexicon which is created by using Hindi Subjective Lexicon. Our approach proves good performance on the testing data. We compared the results with already existing approaches.
Emerging virus and viroid pathogen species identified for the first time in horticultural plants in Finland in 1997-2010

Expansion and intensification of global trade in horticultural plants has increased the risk of spread of new alien pathogen species in the EU. Alien species of pathogenic viruses and viroids in horticultural plants have been introduced into Finland in infected plant material (plants, seedlings, cuttings, tubers, seeds). By 1997, about 30 virus species of horticultural plants had been detected in Finland. We aimed at compiling emerging new virus and viroid records during 1997-2010. Eight new viruses belonging to tospo-, potex-, poty-, tymo-, ilar- and allexiviruses were detected in horticultural plants: four occurred in greenhouse crops, two in vegetables and two in garden ornamentals outdoors. Five new findings of viroids were made in ornamental and vegetable greenhouse crops during 2008-2009. More rapid and accurate diagnostic methods have contributed to identifying new alien pathogens. Global trade seems to be the main reason for the introduction of the newest virus and viroid pathogens into Finland. ;
A study on relationship between institutional investors and earnings management: Evidence from the Tehran Stock Exchange

Article history: Received December 2, 2012 Received in revised format 16 March 2013 Accepted 17 March 2013 Available online March 18 2013 Institutional investors play important role on formation of different changes on corporate governance systems. They can significantly influence on companies by monitoring the performance of management and limiting their opportunistic behaviors and manipulating their financial statements. Therefore, the main objective of the present study is to investigate the relationship between institutional investors and earnings management on some listed companies on Tehran Stock Exchange by examining a sample of 700 firm-years data over the period 20062010. In this study, the discretionary accruals are used as an indicator for earnings management. The results indicate that there is a positive and significant relationship between institutional investors and earnings management and suggest that increasing the ownership percentage of institutional shareholders increases earnings management. In addition, the results of the control variables have shown that firm size had no impact on earnings management, but financial leverage and return on sales, respectively had negative and positive effect on the earnings management of companies. © 2013 Growing Science Ltd. All rights reserved.
Assessment of Salt Tolerance Ability among Different Accessions of Sunflower (Helianthus annuus L.)

Twenty sunflower ( Helianthus annuus L.) accessions were evaluated against three different salinity levels. Triplicate factorial completely randomized design was followed. Salinity was developed with NaCl to achieve the final salinity levels of 3dSm -1 , 6dSm -1 and 9dSm -1 , whereas control contained tap water. Data of 60 days old ten seedlings from each entry was recorded and analyzed. Accessions G-36, G-61, A-23, A-6, and A-185 performed better in both controlled and saline conditions. These accessions showed better biomass production and high shoot and root growth by least concentration of Na + and higher concentration of K + and Cl - in leaf sap resulting in better K + and Na + . Keywords: Halianthus annus, salinity, biomass, leaf sap
ECOLOGICAL CRITERIA FOR EVALUATING CANDIDATE SITES FOR MARINE RESERVES

Several schemes have been developed to help select the locations of marine reserves. All of them combine social, economic, and biological criteria, and few offer any guidance as to how to prioritize among the criteria identified. This can imply that the relative weights given to different criteria are unimportant. Where two sites are of equal value ecologically; then socioeconomic criteria should dominate the choice of which should be protected. However, in many cases, socioeconomic criteria are given equal or greater weight than ecological considerations in the choice of sites. This can lead to selection of reserves with little biological value that fail to meet many of the desired objectives. To avoid such a possibility, we develop a series of criteria that allow preliminary evaluation of candidate sites according to their relative biological values in advance of the application of socioeconomic criteria. We include criteria that,. while not strictly biological, have a strong influence on the species present or ecological processes. Out scheme enables sites to be assessed according to their biodiversity, the processes which underpin that diversity, and the processes that support fisheries and provide a spectrum of other services important to people. Criteria that capture biodiversity values include biogeographic representation, habitat representation and heterogeneity, and presence of species or populations of special interest (e.g., threatened species). Criteria that capture sustainability of biodiversity and fishery values include the size of reserves necessary to protect viable habitats, presence of exploitable species, vulnerable life stages, connectivity among reserves, links among ecosystems, and provision of ecosystem services to people. Criteria measuring human and natural threats enable candidate sites to be eliminated from consideration if risks are too great, but also help prioritize among sites where threats can be mitigated by protection. While our criteria can be applied to the design of reserve networks, they also enable choice of single reserves to be made in the context of the attributes of existing protected areas. The overall goal of our scheme is to promote the development of reserve networks that will maintain biodiversity and ecosystem functioning at large scales. The values of eco-system goods and services for people ultimately depend on meeting this objective.
Vers une cartographie de processus explicite pour le modèle Demand Driven Adaptive Enterprise

Cet article presente une approche de cartographie de processus appliquee a la methodologie Demand Driven Adaptive Enterprise. On constate, lors des deploiements realises par les professionnels, que les cas complexes de deploiement necessitent d’adapter la methode a divers degres. Il faut notamment prendre en compte la realite physique des ateliers, ainsi que les regles de gestion specifiques. En croisant les principes issus des publications existantes et les retours fournis par des experts, une cartographie complete de la methode Demand Driven Adaptive Enterprise a ete etablie. Elle fait apparaitre les activites et les fonctions necessaires et constitue une base pour de futures implantations, mais egalement pour la definition d’agendas de recherche partages. On remarque en particulier que les possibilites d’interpretation de la cartographie sont nombreuses. Cela implique que chaque variation de la methode doit etre a son tour cartographiee et testee, afin de statuer sur son efficacite au cas par cas.
The impact of the water rights system on smallholder irrigators' willingness to pay for water in Limpopo province, South Africa

ABSTRACT Water rights are currently receiving increased attention from scholars and policymakers due to the growing understanding that ill-defined water rights impair efficient use. In South Africa, smallholder irrigation faces problems of low water use efficiency and cost recovery of government investments. This study uses contingent ranking to analyse the willingness to pay (WTP) of smallholder irrigators for changes in the water rights system. The results indicate that smallholders are prepared to pay considerably higher water prices if these are connected to improvements in the water rights system. By segmenting the population it was also shown that the importance attached to water rights dimensions varies in each segment. While lower institutional trust and lower income levels lead to a lower WTP for transferability, experiencing water shortage increases this WTP. Such information is valuable in guiding policy makers in the future design of water rights.
Using Deep Linguistic features to predict Depression

We participated in an in class shared task of predicting CES-D Depression Score by using linguistic features on Facebook Statuses of the users. Our attempt was to look beyond surface features like bag of words and Topic model. To that end we explored several off the shelf tools for parts of speech tagging, Supervised LDA, deep learning and active learning. In this paper we document our experience of using such tools, and challenges we faced while building this prediction system. In the end we were able to achieve good results through supervised LDA and got some promising insight into deep learning.
Development of a Laser-Based System for Testing Construction Aggregate

A Laser-based Aggregate Scanning System (LASS) was developed at the University of Texas at Austin for rapid characterization of various properties of construction aggregates. For the determination of shape and size parameters, the “virtual proportional caliper” and “virtual sieve” concepts are introduced, where 3D particle data are rotated about different axes to find elongation and flatness ratios, and the smallest mesh opening size through which a particle can pass. This paper also proposes a group texture based quality control method using wavelet analysis. This method is expected to provide fast group characterization of aggregates during production, enabling real time quality monitoring.
RISK ATTITUDE AND INCONSISTENCIES - DOES THE CHOICE OF DISPLAY FORMAT AND RISK ELICITATION METHOD INFLUENCE THE OUTCOMES?

In the past decade, many studies have measured individual risk attitude with different elicitation methods using within-subject design and have found significant disparities across the elicitation methods. According to the existing literature, there are also differences in the observed understanding of the elicitation methods measured by the inconsistency rate. However, there are no studies yet that compares the inconsistency rate across different elicitation methods in a within-subject design. Therefore, we compare both the inconsistency rate and the risk attitude of participants in two different lottery tasks in a within-subject design, namely the lottery task by Holt and Laury (2002) as well as the one by Brick, Visser and Burns (2012). Moreover, we analyze in a between-subject design whether a visualization of a lottery task for a better understanding results in differences in the elicited risk attitude and thus leads to the desired reduction of the inconsistency rate. Results show that the elicited risk attitudes are more risk averse in the more complex Holt-and-Laury task in both display formats. Moreover, we find that the visualization results in more risk averse responses in both lottery tasks. According to the inconsistency rate, we find that the Brick-Visser-Burns task is better understood than the Holt-and-Laury task, especially in the textual display format. Furthermore, the visual display format of the Holt-and-Laury task results in a significantly better understanding compared to the textual display format. Submitted File(s) History of Uploads