Miracle-dz/UniFAR-FTUs huggingface dataset:
Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter *

Urban intersections put high demands on fully automated vehicles, in particular, if occlusion occurs. In order to resolve such and support vehicles in unclear situations, a popular approach is the utilization of additional information from infrastructure-based sensing systems. However, a widespread use of such systems is circumvented by their complexity and thus, high costs. Within this paper, a generic interface is proposed, which enables a huge variety of sensors to be connected. The sensors are only required to measure very few features of the objects, if multiple distributed sensors with different viewing directions are available. Furthermore, a Labeled Multi-Bernoulli (LMB) filter is presented, which can not only handle such measurements, but also infers missing object information about the objects’ extents. The approach is evaluated on simulations and demonstrated on a real-world infrastructure setup.
Constraints on the binary black hole nature of GW151226 and GW170608 from the measurement of spin-induced quadrupole moments

According to the "no-hair" conjecture, a Kerr black hole (BH) is completely described by its mass and spin. In particular, the spin-induced quadrupole moment of a Kerr BH with mass $m$ and dimensionless spin $\chi$ can be written as $Q=-\kappa\,m^3\chi^2$, where $\kappa_{\rm BH}=1$. Thus by measuring the spin-induced quadrupole parameter $\kappa$, we can test the binary black hole nature of compact binaries and distinguish them from binaries comprised of other exotic compact objects, as proposed in [N. V. Krishnendu et al., PRL 119, 091101 (2017)]. Here, we present a Bayesian framework to carry out this test where we measure the symmetric combination of individual spin-induced quadrupole moment parameters fixing the anti-symmetric combination to be zero. The analysis is restricted to the inspiral part of the signal as the spin-induced deformations are not modeled in the post-inspiral regime. We perform detailed simulations to investigate the applicability of this method for compact binaries of different masses and spins and also explore various degeneracies in the parameter space which can affect this test. We then apply this method to the gravitational wave events, GW151226 and GW170608 detected during the first and second observing runs of Advanced LIGO and Advanced Virgo detectors. We find the two events to be consistent with binary black hole mergers in general relativity. By combining information from several more of such events in future, this method can be used to set constraints on the black hole nature of the population of compact binaries that are detected by the Advanced LIGO and Advanced Virgo detectors.
Change-point detection in dynamic networks via graphon estimation

We propose a general approach for change-point detection in dynamic networks. The proposed method is model-free and covers a wide range of dynamic networks. The key idea behind our approach is to effectively utilize the network structure in designing change-point detection algorithms. This is done via an initial step of graphon estimation, where we propose a modified neighborhood smoothing~(MNBS) algorithm for estimating the link probability matrices of a dynamic network. Based on the initial graphon estimation, we then develop a screening and thresholding algorithm for multiple change-point detection in dynamic networks. The convergence rate and consistency for the change-point detection procedure are derived as well as those for MNBS. When the number of nodes is large~(e.g., exceeds the number of temporal points), our approach yields a faster convergence rate in detecting change-points comparing with an algorithm that simply employs averaged information of the dynamic network across time. Numerical experiments demonstrate robust performance of the proposed algorithm for change-point detection under various types of dynamic networks, and superior performance over existing methods is observed. A real data example is provided to illustrate the effectiveness and practical impact of the procedure.
Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks

In a Cross-Origin State Inference (COSI) attack, an attacker convinces a victim into visiting an attack web page, which leverages the cross-origin interaction features of the victim's web browser to infer the victim's state at a target web site. Multiple instances of COSI attacks have been found in the past under different names such as login detection or access detection attacks. But, those attacks only consider two states (e.g., logged in or not) and focus on a specific browser leak method (or XS-Leak). This work shows that mounting more complex COSI attacks such as deanonymizing the owner of an account, determining if the victim owns sensitive content, and determining the victim's account type often requires considering more than two states. Furthermore, robust attacks require supporting a variety of browsers since the victim's browser cannot be predicted apriori. To address these issues, we present a novel approach to identify and build complex COSI attacks that differentiate more than two states and support multiple browsers by combining multiple attack vectors, possibly using different XS-Leaks. To enable our approach, we introduce the concept of a COSI attack class. We propose two novel techniques to generalize existing COSI attack instances into COSI attack classes and to discover new COSI attack classes. We systematically apply our techniques to existing attacks, identifying 40 COSI attack classes. As part of this process, we discover a novel XS-Leak based on window.postMessage. We implement our approach into Basta-COSI, a tool to find COSI attacks in a target web site. We apply Basta-COSI to test four stand-alone web applications and 58 popular web sites, finding COSI attacks against each of them.
Wait-Free Universality of Consensus in the Infinite Arrival Model

In classical asynchronous distributed systems composed of a fixed number n of processes where some proportion may fail by crashing, many objects do not have a wait-free linearizable implementation (e.g. stacks, queues, etc.). It has been proved that consensus is universal in such systems, which means that this system augmented with consensus objects allows to implement any object that has a sequential specification. To this end, many universal constructions have been proposed in systems augmented with consensus objects or with different equivalent objects or special hardware instructions (compare&swap, fetch&add, etc.). In this paper, we consider a more general system model called infinite arrival model where infinitely many processes may arrive and leave or crash during a run. We prove that consensus is still universal in this more general model. For that, we propose a universal construction. As a first step we build a weak log for which we propose two implementations using consensus objects for the first and the compare&swap special instruction for the other.
Entanglement entropy of linearized gravitons in a sphere

We compute the entanglement entropy of a massless spin $2$ field in a sphere in flat Minkowski space. We describe the theory with a linearized metric perturbation field $h_{\mu\nu}$ and decompose it in tensor spherical harmonics. We fix the gauge such that a) the two dynamical modes for each angular momentum decouple and have the dynamics of scalar spherical modes, and b) the gauge-fixed field degrees of freedom inside the sphere represent gauge invariant operators of the theory localized in the same region. In this way the entanglement entropy turns out to be equivalent to the one of a pair of free massless scalars where the contributions of the $l=0$ and $l=1$ modes have been subtracted. The result for the coefficient of the universal logarithmic term is $-61/45$ and coincides with the one computed using the mutual information.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks

The Philippines is a common ground to natural calamities like typhoons, floods, volcanic eruptions and earthquakes. With Twitter as one of the most used social media platform in the Philippines, a total of 39,867 preprocessed tweets were obtained given a time frame starting from November 1, 2013 to January 31, 2014. Sentiment analysis determines the underlying emotion given a series of words. The main purpose of this study is to identify the sentiments expressed in the tweets sent by the Filipino people before, during, and after Typhoon Yolanda using two variations of Recurrent Neural Networks; standard and bidirectional. The best generated models after training with various hyperparameters achieved a high accuracy of 81.79% for fine-grained classification using standard RNN and 87.69% for binary classification using bidirectional RNN. Findings revealed that 51.1% of the tweets sent were positive expressing support, love, and words of courage to the victims; 19.8% were negative stating sadness and despair for the loss of lives and hate for corrupt officials; while the other 29% were neutral tweets from local news stations, announcements of relief operations, donation drives, and observations by citizens.
Digital Watermarking of video streams: Review of the State-Of-The-Art

Digital Watermarking is an extremely wide aspect of information security, either by its applications, by its properties, or by its designs. In particular, a lot of research has been made about video watermarking and it can make it quite difficult to put into perspective the various schemes possible in order to implement a watermarking process for a given application. This paper presents an in-depth overview of the current video watermarking technologies and how they each respond to certain criteria that may be imposed by the aimed application. The goal being in first place to be able to define the desired equilibrium point between invisibility, robustness and efficiency for an application. Then, given this balance, being able to deduce the best location of the information embedding as well as the method used to embed it. The equilibrium point is to be found using the needed properties of the watermark and by studying the threat model that the scheme will have to face. The location describes whether the extra information should be added to the metadata of the video, to its frames or to specific regions of its frames. Finally, the method to embed the watermark refers to the insertion domain and its coefficients to be altered in order to insert the wanted information.
Live Illumination Decomposition of Videos

We propose the first approach for the decomposition of a monocular color video into direct and indirect illumination components in real-time. We retrieve, in separate layers, the contribution made to the scene appearance by the scene reflectance, the light sources and the reflections from various coherent scene regions to one another. Existing techniques that invert global light transport require image capture under multiplexed controlled lighting, or only enable the decomposition of a single image at slow off-line frame rates. In contrast, our approach works for regular videos and produces temporally coherent decomposition layers at real-time frame rates. At the core of our approach are several sparsity priors that enable the estimation of the per-pixel direct and indirect illumination layers based on a small set of jointly estimated base reflectance colors. The resulting variational decomposition problem uses a new formulation based on sparse and dense sets of non-linear equations that we solve efficiently using a novel alternating data-parallel optimization strategy. We evaluate our approach qualitatively and quantitatively, and show improvements over the state of the art in this field, in both quality and runtime. In addition, we demonstrate various real-time appearance editing applications for videos with consistent illumination.
The Psychophysiological Effects of Cross-Cultural Transaction in Foreign Students in Russia: a Pilot Study

Have you ever studied or worked abroad? Most people assume it would be stressful --- but would you ever think that it could be detrimental to your health, though? Stress literature relates cross-cultural transactions to the chances of gaining higher levels of chronic stress. The present article aims to study if the psychological stress linked to relocation to a different country can possibly lead to psychobiological effects of chronic stress, namely elevated levels of resting heart rate. A longitudinal pilot study was conducted for 10 expatriate students during the first 2-5 months (with a mean of 3.6 months) of their relocation. Quantitative data was gathered via surveys cross-sectionally, the health data and daily activity journals were collected weekly and provided continuous information about the participants' pulse rate and clues of what its changes can be related to. The results show that the participants have changes in the resting heart rate (RHR) baseline and thus are consistent with those of previous chronic stress research. However, additional further research is required for the consistency of the data and for identifying risk markers and individual stress pathways, with the goal of identifying "at-risk" students and providing treatment options before any serious harm is done to their health.
Wireless adhoc Networks Security Principles, Issues and Applications

Privacy and itegrity of packets on wireless adhoc netwoks should be expected by the algorithmic mechanisms. This privacy and integrity is very much is to be mandated by regulations. In tardition the security is only based on cryptographic techniques which is not so much secure and leads to unsecure and unauthenticated information. As the packets of information is to be routed on networks so it needs some new security and digital signature based algorithm. Digital signature methods provides the solution to many of these new concerns. So in this paper we will discuss new paradigma of digital signature based techniques along with merit and demerits ,applications and isues related with it.
Designing the Knowledge Management System: A Case Study Approach in IT Consultant Company

The goal of this research is to identify, analyze and design an effective knowledge management system for XYZ company in Indonesia. As the growing of consultant company in Indonesia, XYZ company need to keep the valuable knowledge, so they can use it in the future. The analyze and design method used by this paper are: Wiig Knowledge Management Cycle, Nonaka and Takeuchi SECI Model, and object-oriented analysis and design. And for the data collection, the authors did the interview with the enterprise solution manager and observation in the company to capture company daily activities. The results are the knowledge management system implemented to capture, manage and use the company knowledge work more effective. We can conclude that the knowledge management system can help the company to maintain their knowledge.
Consequences of conflict : the impact of the closure regime on the West Bank ’ s economy

The Palestinian-Israeli conflict witnessed a new development in the mid-90s with the introduction of the closure policy. This policy consisting in roadblocks, and fixed and mobile checkpoints restricts the movement of goods and labor between the Palestinian territories and Israel, between the West Bank and the Gaza Strip, and inside the West Bank. As a result of this policy the economic space of the West Bank is divided into small pieces and trade with the rest of the world is distorted. The impact of the closure policy on the West Bank’s economy is largely understudied. Taking advantage of this unique context, this study addresses the economy-wide effects of removing the closures, using a social accounting matrix developed for the West Bank for the year 2011. A variant of the STAGE suite of CGE models is used and extended to conform the unique feature of the West Bank’s economy. In this paper the removal of the closures is simulated through the reduction of the trade and transport margins by 33%, and the increase in efficiency in the transportation sector by 30%. The results suggest that removing the closure policy will induce a substantial growth of the West Bank’s economy by 2 to 7% and will have distributional effects among the household groups. Trade will also be significantly affected. Export value will increase by up to 33%, while import value will increase by up to 12%.
A Point-based Alternative to Isosurface Visualization

We present a new approach to isosurface visualization that we call “iso-splatting. ” We use point primitives for representing and rendering isosurfaces. The method consists of two steps. In the first step, point samples are generated throughout the volumetric domain of a scalar function. In the second step, these points are projected onto the isosurface of interest. We render the resulting point set using a surface splatting algorithm. The method can be extended to out-of-core or parallel environments. Our results show that this method can offer much greater time and space efficiency when compared with standard triangle-based methods, thereby supporting higher levels of interactivity. Parts of the algorithm can be accelerated using graphics hardware. One key advantage of this approach is that, since extraction computations are divided into two smaller phases, work can be distributed to exploit all available resources.
Interactive comment on “ Tropospheric ozone and its precursors at Summit , Greenland : comparison between observations and model simulations ” by Yaoxian Huang

This paper presents a GEOS-Chem model analysis of surface ozone and its precursors (NOx, PAN, C2H6, C3H8, CO) observed at Summit, Greenland during the period of July 2008 June 2010, with a focus on their concentrations and seasonal variations. Modeling tropospheric ozone in the Arctic has been challenging, and it is very interesting to use a state-of-the art chemical transport model to test and improve our understanding of its sources and variability. The authors identified the discrepancies between the GEOS-Chem simulations and observations, which were then examined using various model perturbation experiments. The results are original, and the paper
Distribution of result sets cardinalities in heterogeneous random databases

The aim of this paper is to present the wasp based computational model and many applications of wasp based algorithms. A general frame for designing a wasp based algorithm, starting from the classical problem of task allocation in a factory, is realized. The most important characteristics of the wasp computational model are underlined and the way of particularization of these characteristics for each problem is presented. Original applications of wasp based algorithms in modeling multi agent systems, in solving optimization problems and in building a reinforcement scheme for a stochastic learning system are presented.
The role of emotional intelligence in attitudes towards elderly patients - Comparative study of medical students from rural and urban areas.

INTRODUCTION Medical care in geriatrics has its own specificity, and in order to build a successful doctor-patient relationship it is important while studying medicine to learn some functioning aspects of this age group. OBJECTIVE The aim of this study is to explore and describe the role of emotional intelligence in the attitudes of medical students towards elderly patients, taking into account their the place of residence. The place of residence has an impact on social relations and socialization, which could effect with disparities in behaviour towards elderly patients. MATERIAL AND METHODS Medical University of Lublin students from rural (N=71; M=23.44 SD=1.80) and urban (N=87; M=23.34; SD=1.38) areas took part in the study. Emotional Intelligence Questionnaire (INTE) and Attitude Towards Elderly Patients Questionnaire (ATEP) were used. RESULTS There are statistically significant differences between medical students from rural and urban areas in their attitude towards elderly patients (p=0.001), but no differences were observed between rural and urban residents in terms of emotional intelligence (general result, action factor and cognitive factor). Positive correlations were observed between action factor (r=0.322), cognitive factor (r=0.311) and general INTE result (r=0.358) and attitude towards elderly patients in the group of medical students from rural area. CONCLUSIONS Medical students from rural areas are characterized by a more positive attitude towards elderly patients than medical students from urban areas. The predictors of attitudes towards elderly patients are the cognitive factor of emotional intelligence and the place of residence of medical students. The results give the opportunity to design a well-developed programme of a geriatric course which could be matched to the personal predispositions of students.
Procena atmosferske raspodele polihlorovanih bifenila i policikličnih aromatičnih ugljovodonika primenom poliparametarskog modela

Izvod Tokom konfliktnog perioda 1991–1999. godine, na području Zapadnog Balkana, generisane su i emitovane velike količine organskih zagađujućih materija u okruženje, kao rezultat delimičnog ili potpunog razaranja industrijskih postrojenja, vojnih ciljeva, infrastrukture, eksplozija i nekontrolisanih požara. Dvadeset uzoraka ambijentalnog vazduha prikupljeno je sa šest urbanih, industrijskih i visoko kontaminiranih lokaliteta na području Vojvodine sa ciljem procene gas/čestične raspodele 7 EPA kongenera polihlorovanih bifenila (PCBs) i 16 EPA policikličnih aromatičnih ugljovodonika (PAHs). Eksperimentalno dobijene vrednosti gas/čestične raspodele molekula PCBs i PAHs poređene su sa vrednostima dobijenim poliparametarskim modelom. Analiza rezultata dobijenih uporednom analizom ukazuje na značajna odstupanja predviđanja poliparametarskog modela za kompletan set od 7 analiziranih PCBs kongenera. Znatno bolja slaganja eksperimetalno izmerenih i modelom izračunatih vrednosti dobijena su kod PAHs, a posebno kod molekula sa četiri prstena. Ovi rezultati su u dobroj korelaciji sa literaturnim podacima pri primeni poliparametarskog modela za predviđanje gas-čestične raspodele ispitivane grupe organskih molekula.
Narrative Generation in the Wild: Methods from NaNoGenMo

In text generation, generating long stories is still a challenge. Coherence tends to decrease rapidly as the output length increases. Especially for generated stories, coherence of the narrative is an important quality aspect of the output text. In this paper we examine how narrative coherence is attained in the submissions of NaNoGenMo 2018, an online text generation event where participants are challenged to generate a 50,000 word novel. We list the main approaches that were used to generate coherent narratives and link them to scientific literature. Finally, we give recommendations on when to use which approach.