Miracle-dz/UniFAR-FTUs huggingface dataset:
Dimension expansion of neural networks

The authors investigate the dimension expansion property of 3 layer feedforward neural networks and provide a helpful insight into how neural networks define complex decision boundaries. First, they note that adding a hidden neuron is equivalent to expanding the dimension of the space defined by the outputs of the hidden neurons. Thus, if the number of hidden neurons is larger than the number of inputs, the input data will be warped into a higher dimensional space. Second, they show that the weights between the hidden neurons and the output neurons always define linear boundaries in the hidden neuron space. Consequently, the input data is first mapped non-linearly into a higher dimensional space and divided by linear planes. Then the linear decision boundaries in the hidden neuron space will be warped into complex decision boundaries in the input space.
A new call admission control scheme for real-time traffic in wireless networks

In this paper, we introduce a framework to explain an adaptive call admission control for real time traffic of a wireless network in order to improve the system performance in terms of call blocking probabilities. The key contribution of the work explained in this paper constitutes the application of a transcoding scheme of the real-time voice for a call admission controller. The advantage of employing the adaptive call admission control is illustrated by the performance curve showing the reduction in the overall call blocking probability of the system. The proposed scheme attempts to supplement existing call admission control schemes, rather to replace them.
New partnership after first divorce-an event history analysis

New or altered family forms and their changing roles in the individual lifecycle is one of the most important factors affecting modern demographic behaviour. In Hungary – like other developed countries – the rate of marriage has decreased, the rate of divorce has increased and cohabitation has spread. On the basis of the first wave of the panel survey carried out in 2001 in the HCSO Demographic Research Institute (Turning Points of the Life Course) on a country-wide representative sample (more than 16,000 people, aged 18–75) the author examines the new partnerships of people after marriage break-up. Using event history analysis, she analyses the factors influencing the formation of new partnerships and differences between the two sexes. The basic difference between the two sexes is that men form a new cohabiting unit earlier and with a higher frequency than women. The break-up of the parental family during childhood increases the chances of forming new partnerships in every case, while cohabitation before marriage increases chances only for women. Over the course of time, the chances of forming a new partnership decreases for both sexes. For women, one child under the age of 18 in the household is not a serious impediment to forming a new partnership. At the same time, the burden of having two or more children under the age of 18 is not a sufficiently strong enough incentive for remarrying or starting to cohabit. Having several children in the household decreases chances of remarrying if at least one of the children is younger than 7. For men, these decreased chances refer only to cases where the youngest of the children living with the man is older than 6. Being more highly educated increases men’s chances of finding a new partner, while it does the opposite for women.
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Analyti al Model and Pla ement Sensitivity Analysis Ankireddy Nalamalpu Wayne Burleson Department of Ele tri al and Computer Engineering University of Massa husetts, Amherst, MA 01003 Abstra t: Repeaters are now widely used to increase the performance of long on-chip interconnections in CMOS VLSI. In this paper, we take an updated look at repeater insertion i n state-of-the-art CMOS, using a new more detailed model. In spite of the more complex model, we present closed form expressions for the delay and the optimal repeater spacing and sizing. Our model is based on the Alpha-power law to account for the short-channel effects and resistive loads that aris e in deep sub-micron technologies. Unlike previous work, we model th repeater input as a ramp and accurately model both linear and saturation regions of operation for estimating the propaga tion delay. Our analytical repeater model is applied for estimatin g he performance of driving various repeated RC loads and exhibi ts a maximum error of only 5% when compared with SPICE in a 0.13 m CMOS technology. In practice, it is not always feasible to insert the repeater s at the exact optimal locations along an interconnect. We prese nt a placement sensitivity analysis to quantify the effect of t he sub-optimal repeater placement on performance. Closed for m expressions are derived to re-size the repeaters to compens ate for the sub-optimal placement. 1. Introdu tion
A vision location algorithm for CCD camera based on geometric knowledge

In this paper, a simple and practical new algorithm was proposed to solve the monocular vision-based camera positioning of spatial objects as well as the alternating invariance principle based on projective geometry. The new algorithm avoids the cumbersome camera calibration and the accurate solution of matrix equations. It solves the non-linear single-mapping of single chart taken by non-standard orders CCD camera from the 2D image plane to the true 3D planar according to a simple geometrical relationship. It also revises the lens to reach the high accuracy and the low computational. The experimental result shows that this new algorithm has a high availability in several cases, and it provides a new way of thinking for the measurement, positioning as well as three-dimensional reconstruction of the computer vision problems.
Design of a planar cable driven parallel robot using the concept of Capacity Margin Index

The research work presented in this paper introduces a new approach of determining the design parameters of a fully-constrained cable-driven parallel robot (CDPR) using an index-based methodology. The concept of this index known as “Minimum degree of constraint satisfaction” or “Capacity Margin Index” has been used in the past to determine the Wrench Feasible Workspace (WFW) and Interference-Free Constant Orientation Workspace (IFCOW) of a constrained cable robot. In this paper, the use of this index has been extended to propose a new methodology for the design process of fully-constrained planar CDPR. The design process has two major objectives. Firstly, the tensions in the cables will be minimized in order to help in selecting a lower-powered actuators and thus decreasing the overall power requirement of the manipulator. Simultaneously, the interest will be in determining an optimal size of robot platform, corresponding to the minimal tensions in the cable. A comparison of the most common cable layouts has also been prepared to investigate the optimum layout for tension minimization in the cables. A case study of a fully-constrained planar robot have been presented in which the proposed methodology is implemented.
Large non-Gaussianities with intermediate shapes from quasi-single-field inflation

We study the slow-roll inflation models, where the inflaton slow-rolls along a trajectory whose orthogonal directions are lifted by potentials with masses of order the Hubble parameter. In these models large non-Gaussianities can be generated through the transformation from the isocurvature modes to the curvature mode, once the inflaton trajectory turns. We find large bispectra with a one-parameter family of novel shapes, interpolating between the equilateral and local shape. According to the in-in formalism, the shapes of these non-Gaussianities are different from a simple projection from the isocurvature non-Gaussian correlation functions.
Toward efficient failure detection and recovery in HPC

Application outages due to node failures are common problems in high performance computing. Reliability becomes a major issue, especially for long running jobs, as the number of compute nodes increase. Support for head node failure exists in projects like HA-OSCAR [8] and SLURM [9]. However, fault tolerance for compute node outages has not been effectively tackled. In this paper, we present a transparent fault tolerant approach and proof-of-concept solution that provides the ability to detect and self-recover parallel runtime environment in cases of compute node failure. Our solution aims to address common fault tolerance issues in the large scale system, especially due to permanent component failure in a parallel MPI [5] environment that requires a recovery with an exact runtime configuration. We proposed a lightweight heartbeat protocol (BHB) that addresses the scalability issues in system monitoring and failure detection. We also introduce a cloning technique for our recovery framework that essentially recreates an identical environment from spare nodes and thereby minimizes and controls the length of mean time to repair (MTTR) of any node outage. Our preliminary experiments show that our protocol can reduce overhead over the common approach by an order-of-magnitude.
TURTLE HISTORIES AND ALTERNATE UNIVERSES : EXPLORATORY MODELING WITH NETLOGO AND MATHEMATICA

This paper presents the design of a development platform integrating NetLogo, a multiagent programmable modeling environment with the Mathematica scientific computing environment. We will discuss the affordances of such environments, which can simplify and enrich the research process for agent-based modelers. More specifically, we will demonstrate the advantages of having real-time exchange of complex data structures between agent-based modeling environments and symbolic mathematical software such as Mathematica. Together, such tools can provide researchers with a highly interactive, self-documenting workflow that neither tool can provide alone. This paper will give an overview of how the integrated environment can be used for common tasks in agentbased modeling, the construction of interfaces for exploring simulation dynamics, and the effective design patterns for representing simulation results.
A cognitive model for non-linear learning in hypermedia programmes

In the past decade, hypermedia programmes have gained attraction for the purposes of teaching and learning. These programmes provide students with freedom of navigation. On the other hand, students are required to develop learning paths by themselves. Empirical evidence indicates that not all of learners can benefit from hypermedia learning. In particular, they have problems to deal with non-linear learning. Research into individual differences suggests cognitive styles have significant effects on student learning in hypermedia programmes. In this study, a cognitive model is presented to illustrate how students with different cognitive styles react to non-linear learning within hypermedia programmes by analysing the findings of previous studies. Implications for the design of adaptive hypermedia learning programmes are also discussed.
Fluvastatin prevents development of arterial stiffness in haemodialysis patients with type 2 diabetes mellitus.

BACKGROUND Arterial stiffness assessed by pulse wave velocity (PWV) predicts all-cause and cardiovascular mortality in diabetic patients with end-stage renal disease. We studied the preventive effects of a 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor, fluvastatin, on arterial PWV values in this population. METHODS Twenty-two patients with normal serum lipid levels received fluvastatin (20 mg/day p.o.) or a placebo for 6 months. Their serum lipid levels, serum levels of C-reactive protein (CRP), arterial PWV, and ankle brachial indexes (ABI) were determined before, and 3 and 6 months after taking the medication to evaluate arterial stiffness. RESULTS At the beginning of the follow-up, there were no differences in age, blood pressure, body mass index, serum haemoglobin A1c level, serum CRP level, serum lipid levels, PWV or ABI between the placebo- (n=10) and the fluvastatin-treated patients (n=12). After 6 months, the PWV and the serum oxidized low-density lipoprotein cholesterol (LDL-C) level increased significantly (from 1969+/-140 to 2326+/-190 cm/s and 70.4+/-13.8 to 91.8+/-15.5 U/l, respectively) in the placebo-treated patients. However, the fluvastatin group had a significantly reduced PWV (from 1991+/-162 to 1709+/-134 cm/s), oxidized LDL-C serum levels (from 89.0+/-9.6 to 73.0+/-5.8 U/l) and CRP serum levels (from 0.97+/-0.32 to 0.26+/-0.16 mg/dl) compared with those in the placebo group. CONCLUSIONS Long-term administration of fluvastatin prevents further worsening of arterial biomechanics in haemodialysis patients with type 2 diabetes mellitus, even in the presence of serum lipid levels in the normal range.
A New Miniaturized Embedded Stereo-Vision System (MESVS-I)

We have developed a fully integrated, miniaturized embedded stereo vision system (MESVS-I) which fits into a tiny package of 5 times 5 cm and consumes very low power (700 mA @ 3.3 V). The system consists of two small profile CMOS cameras, and a power efficient, dual-core embedded media processor, running at 600 MHz per core. The stereo-matching engine performs sub-sampling, rectification, pre-processing using rank transform, correlation-based matching using three levels of recursion, L/R consistency check and post-processing. We have proposed a novel and efficient post-processing algorithm that removes outliers due to low-texture regions and depth discontinuities by combining the contributions from the variance map of the rectified image, disparity map, and the variance map of the disparity map. To further enhance the performance of the system, we have implemented a two staged pipelined-processing scheme that takes advantage of the dual-core architecture of the embedded processor, thereby achieving a processing speed of around 10 fps for disparity maps.
STASH: Securing Transparent Authentication Schemes Using Prover-Side Proximity Verification

Transparent authentication (TA) schemes are those in which a user's prover device authenticates him to a verifier without requiring explicit user interaction. By doing so, those schemes promise high usability and security simultaneously. Most TA implementations rely on the received signal strength as an indicator of the proximity of a user device (prover). However, such implicit proximity verification is not secure against an adversary who can relay messages over a larger distance. In this paper, we propose a novel approach for thwarting relay attacks on TA schemes: the prover permits access to authentication credentials only if it can confirm that it is near the verifier. We present STASH, a system for relay-resilient transparent authentication in which the prover does proximity verification by comparing its approach trajectory towards the intended verifier, with known authorized reference trajectories. Trajectories are measured using low-cost sensors commonly available on personal devices. By analyzing empirical data, collected using a STASH prototype, we demonstrate the security of STASH against a class of adversaries and its ease-of-use. STASH is efficient and can be easily integrated to complement existing TA schemes.
A direct deadbeat control of a PWM single-phase voltage source inverter

A new deadbeat controller configuration for a pulse width modulated single-phase voltage source inverter is offered. A control system contains a deadbeat controller that enables one to obtain a finite duration transient in the neighborhood of an equilibrium state. A deadbeat controller is constructed without resort to transform system variables for obtaining the Frobenius form of a system matrix. A procedure of synthesis of deadbeat controller parameters is illustrated by the example of a voltage inverter with an active-inductive load.
'Bad practice' or 'Bad methods' are software engineering and ethnographic discourses incompatible?

Organizational problems in industry have evoked increased interest in empirical methodologies in the broader software engineering community. In this article ethnography and its relation to software engineering is addressed. Until now sociologists have performed the majority of ethnographic studies on software development. But how useful are these studies for software engineering? Ethnography emphasizes the members' point of view in order to understand the social. Studies from the members' perspective can be interpreted, as revealing 'bad methods' that do not work in complex work situations. From a software engineering point of view, they are just as easy point to the opposite as 'bad practice', bad application of existing methods. The objective of this paper is to promote ethnography and its contribution to software engineering by revealing the different research attitudes of ethnographers and software engineers. Possibilities how to combine ethnographic studies with software method improvement are indicated.
Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video

In this paper we summarize our TRECVID 2015 [12] video recognition experiments. We participated in three tasks: concept detection, object localization, and event recognition, where Qualcomm Research focused on concept detection and object localization and the University of Amsterdam focused on event detection. For concept detection we start from the very deep networks that excelled in the ImageNet 2014 competition and redesign them for the purpose of video recognition, emphasizing on training data augmentation as well as video ne-tuning. Our entry in the localization task is based on classifying a limited number of boxes in each frame using deep learning features. The boxes are proposed by an improved version of selective search. At the core of our multimedia event detection system is an Inception-style deep convolutional neural network that is trained on the full ImageNet hierarchy with 22k categories. We propose several operations that combine and generalize the ImageNet categories to form a desirable set of (super-)categories, while still being able to train a reliable model. The 2015 edition of the TRECVID benchmark has been a fruitful participation for our team, resulting in the best overall result for concept detection, object localization and event detection.
EU policies addressing current account imbalances in the EMU: an assessment

To handle the sovereign debt crisis in general and macroeconomic imbalances in particular the leading EU institutions (the Troika) adopted two broad approaches: The short-term approach is based on enhancing the Stability and Growth Pact and to imposing fiscal austerity on crisis countries. The medium- to long-term strategy consists of internal devaluation via reducing wage costs. Both approaches were combined with structural adjustment programs in the spirit of the Washington Consensus. The Troika's policy implies an asymmetric adjustment process burdening only crisis countries. This led to the shrinking of demand and output in crisis countries comparable to the Great Depression and brought the European Monetary Union to the edge of deflation. Such polices increase the risk of Japan-style deflation with more than one lost decade.
A study of machine learning methods for detecting user interest during web sessions

The ability to have an automated real time detection of user interest during a web session is very appealing and can be very useful for a number of web intelligence applications. Low level interaction events associated with user interest manifestations form the basis of user interest models. However such data sets present a number of challenges from a machine learning perspective, including the level of noise in the data and class imbalance (given that the majority of content will not be of interest to a user). In this paper we evaluate a large number of machine learning techniques aimed at learning from class imbalanced data using two data sets collected from a real user study. We use the AUC, recall, precision and model complexity to compare the relative merits of these techniques and conclude that useful models with AUC above 0.8 can be obtained using a mix of sampling and cost based methods. Ensemble models can provide further accuracy but make deployment more complex.
Dynamic emulation of mechanical loads with backlash based on rapid control prototyping

The paper discusses advanced control of a dynamometer performing dynamic emulation of mechanical loads. Assumed is certain class of nonlinear load with backlash. Paper presents and describes the basic control structure, which can be used for validation of speed algorithms and its practical implementation with rapid control prototyping. Validation of experimental results against the simulations has been performed with experimental test bench containing permanent magnet DC machines and DC-DC converters with high sampling times in current control loops.
Stock trends prediction combining the public opinion analysis

Stock market is complex and volatile, the stock price trends is not only related to the stock price history, but also have a certain correlation with the national policy, the economic environment and the unexpected events of company. Most of the existing stock market prediction methods are only based on the history of stock price and neglect the influence of public sentiment. Nowadays, Social networks such as micro-blog are developing rapidly and will greatly affect the behavior of investors. In this paper we present a system that combined the existing stock prediction method based on technical indicator with the public opinion analysis, and introduce the definition of micro-blog influence factors. The experiments on The Shanghai Composite Index show that this method can achieve higher accuracy than a single source system.