Miracle-dz/UniFAR-FTUs huggingface dataset:
Tri-Angular Monitoring Approach for Real Time Container Migration

Container is the modern age distributed applications packaging toolkit over the cloud environment [1]. It features the management of applications with easy plug and play ability, migration, replication, relocation, upgrading et cetera in the real time. Such containers running different applications over the cloud infrastructure may consume different resources that require real time monitoring. Monitoring of the applications over the distributed cloud environment is important for the better service delivery [2]. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package to the multiple cloud. This gives a significant improvement in performance and size of the applications [3]. For efficient management of containerized applications in the distributed cloud environment, we have conceptualized to develop JAVA based docker host monitoring with Container Migration Monitoring (CoMMon), a tri-angular monitoring approach in the IPv6 network. Docker is open source platform independent tool to create, deploy, and run applications by using containers. The monitoring probe collects different monitoring metrics and sends to remote surveillance system in the JSON format. The term tri-angular is proposed in this paper with the concept that the source machine sends the metric information to the monitoring station before and after the migration of containers while destination node sends the status of migrated container to the same monitoring station after the container is received and verify the message from source and destination by unique container identification number (ID).
Robust PI–LPV Tension Control with Elasticity Observer for Roll–to–Roll Systems

Abstract Flexible materials such as textiles, papers, polymers and metals are transported on rollers during their processing. Maintaining web tension in the entire processing line under an expected web speed is a key factor in achieving good final product quality. It is common practice in industrial web transport systems to use decentralized PI–type controllers. The performances of such control strategies highly depend on web speed and elasticity because of the strong coupling between these two variables. Moreover web speed and elasticity are subject to large variations during a same processing. The emphasis of this paper is on the design of linear parameter varying PI controllers with quadratic H ∞ performance to increase closed–loop system robustness regarding these parameters variations. First a polytopic model of the experimental plant is derived from web speed and tension dynamics. A design methodology of the PI–LPV controllers, that guarantees closed–loop quadratic stability and H ∞ performance, is then presented. The method uses an optimization software with genetic algorithms to determine the controllers parameters while minimizing the H ∞ norm. Moreover, as it is difficult to measure web elasticity online, an observer is synthesized to estimate the Young's modulus. The effectiveness of the proposed control strategy is illustrated with simulations.
Environmental group membership, collective action and generalised trust

The effect of generalised trust on environmental group membership is investigated from a collective action perspective. A cross-national analysis is conducted. It shows a robust and consistent, positive effect of generalised trust on environmental group membership. Drawing on an existing model of environmental group membership, the analysis demonstrates the usefulness of generalised trust and a collective action perspective in that they improve this model.
Size‐adaptive spherical receptor acceleration method for acoustical ray tracing

Randomized ray tracing in room acoustics can be used to compute echograms, but the results computed at the receptor are affected by statistical errors [1]. To decrease these statistical errors, the usual solution is to increase the number of rays, but this also increases the computation time. Another solution is to increase the receptor size, but this lowers the spatial resolution of the computed sound field, which is particularly important for the early part of the echogram. In order to decrease the computation time and keep a sufficient resolution, the method proposed in this paper is based on a progressive modification of the receptor size (spherical type) as long as the ray's travel grows. At the same time, the number of rays into the room can be decreased as the sound ray lengths increase while keeping the statistical errors more or less constant. The consequence is that the sound field spatial resolution evolves from “precise” at the beginning of the echogram to “rough” at its end. The first applica.
Investigating the Effect of Relational Marketing Tactics on Customer’s Loyalty of e-Banking Services in Terms of Customer of Bank Tejarat

The aim of this study was to evaluate the effect of relational marketing tactics on customer loyalty of e-banking services from the perspective of bank Tejarat customers. A total of 384 customers of electronic services of Tejarat bank branches in Tehran were selected as sample. The main instrument used in this study was a questionnaire for the purpose Ndubisi and Wah marketing standard questionnaire (2005) with reliability 0.95 and loyalty questionnaire Koksal and Doma (2014) with a reliability of 0.82 was used. Finally, the raw data obtained are analyzed using SPSS statistical software was used. The results showed that the correlation for each of the variables of trust, communication, conflict management and competence in order of 0.317, 0.370, 0.637 and 0.562, which suggests that customers of e-service of Tejarat bank branches in Tehran, conflict management and competence variables than others had the strongest relationship with loyalty and trust and communication variables has poorer relationships with their loyalty. Finally, according to the results of the descriptive statistics of the variables showed that Tejarat bank branches in Tehran in terms of relationship marketing are already in a relatively good position to take over. DOI: 10.5901/mjss.2016. v7n2s2p133
Comparison of Several Data Mining Methods in Credit Card Default Prediction

LightGBM is an open-source, distributed and high-performance GB framework built by Microsoft company. LightGBM has some advantages such as fast learning speed, high parallelism efficiency and high-volume data, and so on. Based on the open data set of credit card in Taiwan, five data mining methods, Logistic regression, SVM, neural network, Xgboost and LightGBM, are compared in this paper. The results show that the AUC, F1-Score and the predictive correct ratio of LightGBM are the best, and that of Xgboost is second. It indicates that LightGBM or Xgboost has a good performance in the prediction of categorical response variables and has a good application value in the big data era.
Optimization of light illumination for photoacoustic computed tomography of human infant brain

Photoacoustic imaging (PAI) is an imaging modality for obtaining absorption coefficient at every location inside the tissue based on the detected photoacoustic signals. PA image reconstruction aims to determine the initial PA pressure everywhere inside the tissue. The pressure is proportional to both absorption coefficient and light fluence. Provided that fluence is homogenous, the reconstructed image will be an accurate mapping of the absorption coefficient of the tissue. Here we presented a method for obtaining uniform fluence inside the region of interest. We created a large dataset of fluence maps for different source locations, diameters and numerical apertures with Monte Carlo simulations, then used this dataset to solve an optimization problem for finding the source configuration which results in the best fluence distribution.
Review of dc-dc converters for multi-terminal HVDC transmission networks

This study presents a comprehensive review of high-power dc-dc converters for high-voltage direct current (HVDC) transmission systems, with emphasis on the most promising topologies from established and emerging dc-dc converters. In addition, it highlights the key challenges of dc-dc converter scalability to HVDC applications, and narrows down the desired features for high-voltage dc-dc converters, considering both device and system perspectives. Attributes and limitations of each dc-dc converter considered in this study are explained in detail and supported by time-domain simulations. It is found that the front-to-front quasi-two-level operated modular multilevel converter, transition arm modular converter and controlled transition bridge converter offer the best solutions for high-voltage dc-dc converters that do not compromise galvanic isolation and prevention of dc fault propagation within the dc network. Apart from dc fault response, the MMC dc auto transformer and the transformerless hybrid cascaded two-level converter offer the most efficient solutions for tapping and dc voltage matching of multi-terminal HVDC networks.
Towards Measuring the Impact of Management Support Systems on Contemporary Management

This paper conducts a qualitative inquiry into the efforts made in evaluating the impact that management support systems (MSSs) have had on contemporary management and the related theory employed in conducting such evaluations. The paper pursues this dual objective through an extensive literature review. The paper identifies criteria used to assess the success of MSSs and the impact of such systems based on those criteria. The existing literature provides encouraging accounts of successful implementations of MSS projects. However, the absence of a widely accepted theoretical model for more accurately evaluating this success is somewhat glaring. Consequently, the paper proposes a generic MSS evaluation framework for subsequent testing, refinement and usage. The paper advances through five sections: overview of the MSSs landscape; summary of seminal works in various categories of MSSs; critical analysis of existing literature on MSSs; observations and proposal of a generic MSS Evaluation Framework that may be customized for MSS projects; summary and some concluding remarks.
Essays on Entertainment Analytics

This thesis explores live entertainment analytics and revenue management allocation strategies for live entertainment. In Chapter two, we look at empirical factors that effect the success of Broadway shows. How well-known actors (stars) effect film revenues has been a recurring question of entertainment producers and academics. Because a film cannot be disentangled from a star involved, researchers have long struggled to rule out “reverse-causality” that stars have access to higher quality movies. Using a novel data set that includes Broadway show revenues and actor usage, we provide a fixed-effects regression and case studies. We find across multiple specifications that increases in star power in a show improve revenue. Motivated by social grouping and the associated operational challenges, in Chapter three we formulate and study extensions to the Dynamic Stochastic Knapsack Problem (DSKP). We compartmentalize the knapsack according to predefined reward-to-weight ratios, and incorporate a stochastic interaction between the offered set of open compartments and the item placement. Using a specific interaction function inspired by customer choice in the entertainment industry, we provide an algorithm to determine the optimal solution and obtain insights into structural properties. Given the computational complexity of the dynamic program we also propose and analyze via simulation a heuristic algorithm. In Chapter four, in a large sequence of simulations, we propose and study practical heuristic algorithms on which seats should be offered to requests. We propose an algorithm that offers revenue improvements from a “naive” policy on the order of 5-10%. Throughout, we aim for managerial relevance, providing implications to current techniques both in strategy as well as operations.
The Effect of Energy Supplementation on Intake and Utilisation Efficiency of Urea-treated Low-quality Roughage in Sheep I. Rumen Digestion and Feed Intake

Inefficient rumen microbial fermentation is a major factor limiting intake of low quality roughage in ruminants. In this study, the effect of energy supplementation on rumen microbial fermentation, absorption of balanced digestion products and voluntary feed intake in sheep was investigated. A basal diet of a urea-treated mixture of wheaten chaff and barley straw (3:1 DM) containing 22.2 g N/kg DM was used. Four Merino-cross wethers weighing and fitted with permanent rumen and abomasal cannulae were allocated to four treatments in a Latin square design. The dietary treatments were basal diet (), or basal diet supplemented with sucrose (112.5 g/d) administered to the animals intra-ruminally (), abomasally (), or through both routes (50:50) (). Feed intake (basal and dietary) was increased (p) or abomasum (). However, there was no difference (p>0.05) in intake between animals on the control diet and those supplemented with sucrose through both intraruminal and abomasal routes (). The digestibility of DM and OM was highest in and supplemented animals. Although the rumen pH was reduced (p), the in sacco degradation of barley straw in the rumen was not adversely affected (p>0.05). Intra-ruminal sucrose supplementation resulted in a higher concentration of total VFA, acetate and butyrate, while the pattern of fermentation showed a higher propionate: acetate ratio. Intra-ruminal supplementation also increased (p0.05) in microbial protein production between the four dietary treatments. Protozoa numbers were increased (p
Evaluation of Therapeutic Effect of Aloe Vera Juice and Gel in the Management of Symptomatic Oral Lichen Planus

Background: Oral lichen planus is a chronic inflammatory mucocutaneous disease. The anti-inflammatory, immunomodulatory and wound healing properties of aloe vera suggest its possible use in the management of oral lichen planus. Objectives: To clinically determine the effect of aloe vera juice and gel in the management of symptomatic oral lichen planus. Study Design: 30 subjects with symptomatic oral lichen planus and were randomly assigned into group A (n=15) and group B (n=15). Group A patients were instructed to drink 30ml of aloe vera juice twice daily before food and to apply aloe vera gel over the lesion twice daily for 8 weeks. Group B patients were instructed to apply aloe vera gel over the lesion twice daily for 8 weeks. The parameter assessed was burning sensation/pain and the size of the lesion. The follow up was done at intervals of 1 week, 2 weeks, 4 weeks and 8 weeks. Results: The mean VAS scores of both the groups showed a statistically significant reduction (P<0.001). The reduction in the mean VAS scores of group A was more when compared with that of group B. No difference was observed with respect to the size of the lesion. Conclusion: The study concluded that aloe vera is effective in the management of symptomatic oral lichen planus with minimal side effects.
Distance dependence of path loss for millimeter wave inter-vehicle communications

Millimeter-wave path loss between two cars was measured to obtain the general applicable distance for inter-vehicle communication systems in real environments. An abrupt and substantial increase in path loss due to interruption, curves, and different-lane traveling has been a major concern in inter-vehicle communications. The path loss measurements were carried out using 60-GHz CW radiowaves; and standard horn antennas on metropolitan highways and regular roads. Because the propagation losses are traffic-dependent, the highways were classified into uncrowded and crowded highways, and the regular roads were classified into uncrowded and crowded roads. The path loss for the highways exhibited 2nd-power-law attenuation and that for the regular roads exhibited 1st power-law attenuation with an increase in inter-vehicle distance. Additional losses of 15 dB for the highways and 5 dB for the regular roads were observed when the inter-vehicle distance was more than approximately 30 m. Thus, we were able to demonstrate millimeter-wave inter-vehicle communications at an inter-vehicle distance of more than 100 m.
System Aiding Learning Japanese Language

In this paper creating platform for language elearning was discussed in both theory and as an example implementation. We present a discussion on used work-flows to show programming background of our project but we also discuss it from the user oriented quality of service. For these we present opinion results that our users gave us after using the applications. Finally we propose the way of development and possible future works.
Autism-Spectrum Disorder: Testing Perceptions of Reality throughthe Monty Hall Problem

Visual perception of reality has evolved for fitness and not for perceiving an accurate reality, indicating that typical humans perceive an inaccurate perception of reality. Previous research indicates that other information processing systems may also interact with reality using heuristics. Heuristics are mental-shortcuts that are used to facilitate cognitively effortless interaction with the environment, but they often affect accuracy. Individuals with Autism Spectrum Disorder (ASD) have demonstrated less susceptibility to certain heuristics. The lack of heuristic use may attribute to perceiving an objective reality. The Monty Hall problem (MHP) is a probability reasoning question that elicits heuristics that typically leads to incorrect conclusions in the MHP. The objective of this study is to measure the heuristic use between ASD and non-ASD individuals using the MHP. Results indicate that ASD participants were significantly more likely to solve the MHP correctly and understand the reasoning behind the MHP than non-ASD participants. This could indicate a need to revisit leading ASD theories and theories of perception. The implications of these results could also be used to help diagnose individuals with ASD at an early age. Future research should use imaging techniques to determine brain structures responsible for heuristic use.
Serial Comparison of Neointimal Coverage between Two Different Concept Stents: Optical Coherence Tomographic Evaluation

Recently, two different concept drug-eluting stents including biolimus A9-eluting stents (BES) with biodegradablepolymer and everolimus-eluting stents (EES) with durable biocompatible-polymer are available. However, serial comparison of BES and EES on neointimal coverage is not fully investigated. We performed serial evaluation of neointimal coverage at 8 months (BES polymer remained) and 20 months follow-up (BES polymer absorbed) by optical coherence tomography (OCT) for 14 BESs and 10 EESs, and compared uncovered strut proportion (%Uncovered), malapposed strut proportion (%Malapposed) and average neointimal hyperplasia thickness (Ave- NHT), numbers of extra stent lumen (ESL) and multiple interstrut hollow (MIH) calculated by OCT between two DESs, at 8 months and 20 months follow-up, respectively. As a result. at 8 months, Ave-NHT of EES was significantly higher than BES (124 ± 65 E¥m vs 83 ± 47 E¥m, p<0.001) but %Uncovered and %Malapposed were similar between the two groups. At 20 months, %Uncovered and ESL of EES were significantly lower than BES (0.8 ± 5.7% vs 4.8 ± 12.7%, p<0.001 and 0.86 ± 1.28 vs 0.09 ± 0.16, p=0.043) and Ave-NHT of EES was significantly higher than BES (185 ± 88 E¥m vs 90 ± 46 E¥m, P<0.001). In conclusion, EES showed favorable neointimal healing compared to BES
MODELING FIBRIN POLYMERIZATION IN BLOOD FLOW WITH DISCRETE-PARTICLES

Excessive clotting can cause bleeding over a vast capillary areas contributing to stroke, heart attack or blindness. We study the mesoscopic dynamics of clotting by using a discrete-particle model. We assume that the plasma consists of fluid particles containing fibrin monomers, while the red blood cells and capillary walls are modeled using elastic mesh of “solid” particles. The fluid particles interact with each other with a short-ranged, repulsive dissipative force. The particles containing fibrin monomers have a dual character. The polymerization of fibrin monomers into hydrated fibrins is modeled by the change of the interactions between fluid particles from repulsive to attractive forces. This process occurs with a probability being an increasing function of a local density. We study the blood flow in microscopic capillary vessels about 100μm long and with diameters on order of 10μm. We show that the model of polymerization reflects well the role of fibrins in the clotting process. Due to density fluctuations involved by high acceleration, the fibrin chains are produced in a very short time (0.5 ms). The fibrin polymerization modifies the rheological properties of blood, slows down the incipient flow, and entraps the red blood cells , thus forming dangerous clots.
The Development of Fairness Expectations and Prosocial Behavior in the Second Year of Life

Recent work provides evidence that expectations regarding a fair (i.e., equal) distribution of goods and resources arise sometime in the second year of life. To investigate the developmental trajectory of fairness expectations, and their potential relation to prosocial behavior, infants participated in a violation-of-expectancy (VOE) paradigm designed to assess expectations regarding how resources are typically distributed, and in a sharing task, an informational helping task, and an instrumental helping task. Infants’ expectations regarding resource distribution showed age-related changes between 12 and 15 months, with only 15-month-old infants showing greater attention to unfair (unequal) over fair (equal) outcomes in the VOE. Individual differences in infants’ sensitivity to unfair outcomes were related to infants’ willingness to share a preferred toy. In contrast, helping behavior was unrelated to infants’ sensitivity to unfair outcomes and did
Collaborative Filtering , Predicting ratings , with a Flexible Mixture model

This paper discusses the effectiveness of the Flexible Mixture Model (FMM) in predicting user ratings on unseen data. The authors implemented a FMM from scratch in Python and ran the algorithm on a Yahoo! Music user rating data set. The authors also created baseline predictors with which to compare the results of the FMM algorithm. In short, the FMM algorithm beat two baseline results substantially.