Miracle-dz/UniFAR-FTUs huggingface dataset:
SECURITY CONSIDERATIONS FOR SOFTWARE DEFINED RADIOS

This paper addresses the areas in which Software Defined Radio (SDR) security standards are known to be necessary, why they are important, major criteria for these standards as well as examples of essential security features that the resultant standards should address. Particular emphasis is placed on important security features of the underlying SDR hardware and software operating environments. Security features and attributes of the SDR Forum endorsed Software Communications Architecture (SCA) are presented as an example. Hardware based security policy enforcement and flexible downloadable security policy mechanisms are also discussed.
Reinforcement Learning for Humanoid Robot Control

In this paper, we describe results of application of reinforcement learning on full body control of a humanoid robot. We start with a simple task of achieving vertical position of robot’s torso. We use an actor-critic neural network architecture, which is well established approach for reinforcement learning continuous action policies. Our experimental setup includes an instance of the NAO robot in the Webots simulation environment and custom adaptation components for Keras-rl reinforcement learning framework. We present minor modifications of original algorithm and discuss several encountered challenges of applying deep reinforcement learning methods to humanoid robot control.
Towards an Adaptive E-learning System to Address Individual Learning Styles : a CaseStudy

Adaptive e-learning system is an ongoing research area where adaptation techniques and students profiling methods are still under development. These days many outstanding researchers are looking forward to develop sophisticated adaptive e-learning systems that take into account students learning styles variations. The main goal of this research is to suggest a framework for an adaptive elearning system, and evaluate it through a case study. The purpose of the framework is to suggest a basic structure for an adaptive e-learning system that takes into consideration students learning styles variation within a course and be suitable for their needs. An experimental evaluation was conducted on 72 IT students. The analysis investigated the impact of allowing learners to choose from multiple media representations (C-version) compared to having just one media representation on learning acquisition, and motivation (NC-version). Data analysis shows that participant’s motivation and learning acquisition increased under Cversion;since more lessons were completed on it. The result of the C-version was greater than number of completed lessons under NC-version. Also, participant’s results were better under C-version in three lessons from four which reflect the increase in learning acquisition.
Cardio-metabolic Diseases Prevention by Self-monitoring the Breath

As new as very promising technique, breath analysis allows for monitoring the biochemical processes that occur in human body in a non-invasive way. Nevertheless, the high costs for standard analytical instrumentation (i.e., gas chromatograph, mass spectrometer), the need for specialized personnel able to read the results and the lack of protocols to collect breath samples, set limit to the exploitation of breath analysis in clinical practice. Here, we describe the development of a device, named Wize Sniffer, which is portable and entirely based on low cost technology: it uses an array of commercial, semiconductor gas sensors and a widely employed open source controller, an Arduino Mega2560 with Ethernet module. In addition, it is very easy-to-use also for nonspecialized personnel and able to analyze in real time the composition of the breath. The Wize Sniffer is composed of three modules: signal measurement module, signal conditioning module and signal processing module. The idea was born in the framework of European SEMEiotic Oriented Technology for Individual's CardiOmetabolic risk self-assessmeNt and Self-monitoring (SEMEOTICONS) Project, in order to monitor individual's lifestyle by detecting in the breath those molecules related to the noxious habits for cardio-metabolic risk (alcohol intake, smoking, wrong diet). Nonetheless, the modular configuration of the device allows for changing the sensors according to the molecules to be detected, thus fully exploiting the potential of breath analysis.
Spatially distributed visual , auditory and multimodal warning signals – a comparison

Spatially distributed warning signals are able to increase the effectiveness of Advanced Driver Assistance Systems. They provide a better performance regarding attention shifts towards critical objects, and thus, lower a driver ́s reaction time and increase traffic safety. The question which modality is used best, however, remains open. We present three driving simulator studies (30 participants each) with spatially distributed warnings, whereby two focused on spatial-visual as well as auditory warnings respectively. The third study, which combined the most promising approaches from the previous studies, depicts a multimodal spatial warning system. All studies included a baseline without secondary tasks and warnings. Afterwards, subjects were confronted with multiple (30+) critical objects while performing a secondary task. The chronological order of warnings was randomly mixed between spatial, non-spatial and no warning during the first two studies. Data from reaction times, eye tracking data, and questionnaires were collected. Results show that spatial-visual directed warnings are more effective than non-spatial warnings in large distances, but subjects do have difficulties in detecting objects in peripheral regions when they are distracted. While auditory spatial warnings are not as efficient as literature implies, it still performed best in this particular situation. Results of the multimodal warning study, discussion and implications on Advanced Driver Assistance Systems (ADAS) conclude the paper.
NOVELTY DETECTION IN ACHANGING ENVIRONMENT : REGRESSION AND INTERPOLATION APPROACHES

The technique of novelty detection is now established as a means of performing the lowest level of damage identification. Data are accumulated while the system or structure is operating in normal condition and used to construct a reference model. During subsequent operation of the system, data are compared to the reference and any significant deviations are taken to indicate damage. This approach has potential problems if the system or structure is embedded in a changing environment. If the reference data are only characteristic of a limited range of the environmental parameters, measurements from the system in an undamaged condition but from a different environmental state, may cause the diagnostic to register novelty and thus falsely infer damage. This paper demonstrates a potential solution to the problem via the construction of a reference set parametrized by an environmental variable. Two approaches are considered: regression and interpolation. # 2002 Elsevier Science Ltd. All rights reserved.
Context-based Data Quality Metrics in Data Warehouse Systems

The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through context-based DQ metrics.
The effect of body mass index on the emotional intelligence of children

Original Article Pediatric obesity is going to be one of the major risk factors in our era. It might have adverse effects on all aspects of child’s health. It could affect both physically and mentally and cause emotional suffering as well. It is shown that obesity could decrease cognition, but its relationship with emotional intelligence (EI) is unclear. In this cross-sectional study, the relationship between the child’s weight and level of EI has been investigated. Seventy-one children with average age 9.2±2.3 years old (32 girls and 39 boys) of volunteer parents who have come to counseling clinic were joined in this study. Anthropometrical information of children including BMI for age Z score was analyzed by using Anthro Plus software. Demographic information such as gender, year of birth, household income, and parental educational status were obtained by using common SES questionnaire. Emotional intelligence of children was obtained by using “Trait Emotional Intelligence Questionnaire – Child Short Form” (TEIQue-CSF). A significant negative correlation between BMI and EI score was seen in both genders (r2=0.33, p=0.001). A similar pattern was also noticed for both boys and girls. Despite the similarity of this pattern in both genders, to some extent boys showed a stronger negative relationship between their BMI and EI score (Girls: r2=0.293, p=0.001; Boys: r2=0.388, p=0.001). Based on the present study, overweight and obesity are associated with a higher EI score in both genders, which shows the importance of weight effect on EI. © 2019 Science and Research Branch, Islamic Azad University. All rights reserved. Article history: Received 07 March 2019 Revised 05 May 2019 Accepted 08 May 2019 Available online 15 May 2019
Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded opensource storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all the data involved in Knowledge Extraction applications. The chapter presents the concept, design, function and implementation of the KnowledgeStore, and reports on its concrete usage in four application scenarios within the NewsReader EU project, where it has been successfully used to store and support the querying of millions of news articles interlinked with billions of RDF triples, both extracted from text and imported from Linked Open Data sources. Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore
COMPARATIVE STUDY OF THE BIOMECHANICAL PROFILE AMONG ATHLETES FROM DIFFERENT SPORTS 1

Objective: The aim of this study was to compare the biomechanical profile among from different sports. Methods: We analyzed 86 subjects that were divided into Control Group, Capoeira Group, Soccer Group, Rugby Group and Athletics Group. The athletes were evaluated with a sit and reach test and an isokinetic dynamometer (Byodex), using a CON/CON knee protocol at 60o/s with five repetitions. This research was approved by Committee of Ethics at Federal University of Ceara. Results: It was observed different results according to the test and sport. Conclusion: It was suggested that athletes from different sports and features can be compared using the same tests and can present similar results when compared with each other.
K.V. LAURIKAINEN EXTENDING THE LIMITS OF SCIENCE

1. My acquaintance with Prof. Laurikainen. 1 1.1. Various flavours of Copenhagen. 3 2. What proved to be wrong in the approach of classical physics.4 2.2. Revelations of quantum physics . 5 3. Exceeding false beliefs.6 4. Conclusion.7
We simultaneously invert for the velocity and attenuation structure of the North American mantle from a mixed data set : SH

[1] We simultaneously invert for the velocity and attenuation structure of the North American mantle from a mixed data set: SH wave traveltime and amplitude anomalies, SS wave differential traveltime anomalies, and Love wave fundamental mode phase delays. All data are measured for multiple frequency bands, and finite frequency sensitivity kernels are used to explain the observations. In the resulting SH velocity model, a lower mantle plume is observed to originate at about 1500 km depth beneath the Yellowstone area, tilting about 40° from vertical. The plume rises up through a gap in the subducting Farallon slab. The SH velocity model confirms high‐level segmentation of the Farallon slab, which was observed in the recent P velocity model. Attenuation structure is resolvable in the upper mantle and transition zone; in estimating it, we correct for focusing. High‐correlation coefficients between dlnVS and dlnQS under the central and eastern United States suggest one main physical source, most likely temperature. The smaller correlation coefficients and larger slopes of the dlnQS − dlnVS relationship under the western United States suggest an influence of nonthermal factors such as the existence of water and partial melt. Finally, we analyze the influence of the different components of our data set. The addition of Love wave phase delays helps to improve the resolution of both velocity and attenuation, and the effect is noticeable even in the lower mantle.
Litrature Survey on Collaborative Cloud ComputingFor Sharing Resource in Trustworthy Manner

Collaborative Cloud Computing (CCC) is the very new technique which makes the promising and secured way of transmitting the data over distributed cloud servers; the main objective for developing CCC is to create collected and cooperative development over cloud service providers Collaborative Cloud Computing method uses two different types of mechanism for activating the cloud server they are resource management and reputation management technique therefore we can avoid over node of traffic congestion hence we can generate high quality of double bandwidth over node. In the previous research work a single value will be added to the reputation management so that it can represent every node with the unique ID, even though the value has been assigned to the every node the server could not able to identify resources to individual types of user’s therefore QoS (Quality of Service) could not able to meet by the resources selection allocator. In order to find the solution for the problem we proposed new a method called Harmony in the Collaborative Cloud Computing platform. Harmony method used to access the resource and reputation technique with help of three different types of key value search method they are as follows, integrated multi – faceted resource/reputation management, multi – QoS oriented resource selection process and price – assisted resource/reputation control technique. Data has been traced out from different online trading platforms like EBay, Amazon, etc in order to implies major drawbacks in multi – faceted reputation and higher reputed selection of nodes in the cloud servers hence trace driven and simulation method is implemented and executed in the plant lab for getting trustworthy of sharing the resource management and reputation management in the Quality of Service (QoS). In this survey paper we compared various research parameters for Collaborative Cloud Computing (CCC).
Hybrid Operational Space Control for Compliant Quadruped Robots

This work introduces the concept of hybrid operational space control, a method that unifies kinematic tracking of individual joints of a robot with an inverse dynamics task space controller for its remainder. The proposed control strategy allows for a hierarchical task decomposition while simultaneously regulating the inner forces between the contact points. At the same time it improves fast tracking for compliant systems by means of appropriate low level position controllers. Introducing StarlETH, a compliant quadrupedal robot, the applicability of the controller and the hardware is demonstrated in realtime simulations and hardware experiments. We perform static walking in challenging terrain and show how the controller can combine precise and fast position control with robust and compliant interaction with the environment.
Bindungsforschung Bindung und Anpassung von der frühen Kindheit bis zum Jugendalter Ergebnisse der Bielefelder und Regensburger Längsschnittstudie

Attachment theory deals with developmental influences on close emotional relationships during the life course and their consequences for mental health and maladaptation. It offers a view on developmental psychopathology besides variable-oriented approaches that includes in addition developmental processes and individual adaptational mechanisms. The Bielefeld and Regensburg longitudinal studies by Grossmann and Grossmann aimed at the study of attachment development during the life-cycle in a narrow and a wider view. Results from both studies regarding close relationships, coping with challenging situations, and self-concept from infancy to adolescence are reported. On this basis, counseling or therapeutic interventions should aim at being aware of and influencing relationship patterns, emotional regulation, and internal working models.
“Flash Estimates” Of Income Distribution Indicators For The European Union: Methods, Assessment And Future Prospects

The indicators on poverty and income inequality based on the European Union Statistics on Income and Living Conditions (EU-SILC) are an important part of the toolkit for the European Semester. However, the indicators on income of year N are only available in the autumn of year N+2, which comes too late for the EU’s policy agenda. Timeliness of income distribution statistics is critical for monitoring the effectiveness of policies. Therefore, an improvement in this area represents an important priority at the EU level. This paper presents the framework for the development of flash estimates on income distribution in EU countries based on microsimulation techniques. The EU tax-benefit microsimulation model EUROMOD is used for this purpose in combination with timelier macro-level statistics on changes in demographics, employment characteristics and income. A central element of the exercise is the quality framework which would allow building a common platform together with the EU Member States for comparing and assessing results. This paper aims to make an outline of this framework and to illustrate the performance of several alternative methods of flash estimates production based on their historical performance. We also outline our plans 1 The ISER work on nowcasting was financed by the European Commission, Directorate General for Employment, Social Affairs and Inclusion through the Social Situation Monitor. An earlier version of this work is published as part of Social Situation Monitor Research Note 1/2015. The version of EUROMOD used in this paper is G3.0+. We acknowledge the contribution of all past and current members of the EUROMOD consortium. The process of extending and updating the version of EUROMOD used in this paper was financially supported by the Directorate General for Employment, Social Affairs and Inclusion of the European Commission [Progress grant no. VS/2011/0445]. For Czech Republic, Latvia, Portugal, and Finland we make use of microdata from the EU Statistics on Incomes and Living Conditions (EU-SILC) made available by Eurostat (59/2013-EU-SILC-LFS); for Luxembourg and Poland the EU-SILC together with national variables provided by respective national statistical offices; for France, Italy, and Austria the national EU-SILC PDB data made available by respective national statistical offices. The usual disclaimers apply. Email address for correspondence: orastr@essex.ac. uk
Ensemble BERT with Data Augmentation and Linguistic Knowledge on SQuAD 2 . 0

In this project, we proposed a question answering (QA) system based on baseline BERT model and significantly improved the single baseline BERT model on SQuAD 2.0. We adopted a novel data augmentation approach and integrated linguistic knowledge to build a robust ensemble model. Our model was ranked first place on both dev and test leaderboard, and achieved 79.91(EM)/82.43(F1) and 79.87(EM)/82.54(F1) on dev and test set respectively (March 20, 2019).
COMPREHENSIVE PERFORMANCE ANALYSIS OF LEAKAGE GATE MTCMOS SEQENTIAL CIRCUITS USING SLEEP TRANSISTORS

There exist numerous techniques to reduce power consumption in sequential circuits. Major contributing factor for power consumption in these circuits is the clock and its effective management. To overcome this challenge methods such as clock gating, power gating and multi threshold are adopted in the design of these circuits. Effective implementation of sleep transistor logic also ensures the optimum utilization of the power in a design. This paper emphasizes and analyzes this implementation comprehensively in leakage gate MTCMOS sequential circuits. This work has been carried out on Virtuos platform and the simulation results give the better comparison of performance in various designs. This analysis fixes the challenge of reducing power consumption in sequential circuits in a most comprehensive manner.
Feature Extraction and Fusion for Classification of Remote Sensing Imagery

Department of Automation and Network Engineering Head of Department: Prof F. Luo, PhD School of Automation Science and Engineering Promotors: Prof W. Philips, PhD, W. Liao, PhD, Prof Y. Pi, PhD Doctoral thesis submitted in order to obtain the academic degrees of Doctor of Computer Science Engineering (Ghent University) and Doctor of Control Theory and Control Engineering (South China University of Technology)
PROBABILISTIC HAZARD ASSESSMENT METHODOLOGY TO SUPPORT LOCAL ADAPTATION PLANNING IN LAKE MACQUARIE

The suburbs of Pelican, Blacksmiths and Swansea adjoin the entrance channel to Lake Macquarie and are subject to flooding from catchment-derived events and periodic tidal inundation. At present, the latter is mainly a nuisance, affecting drains, gutters, roadways and reserves. However, as mean sea level continues to rise, the extent, depth and frequency of inundation and flooding will increase. Effects will include higher and more frequent flood and inundation levels with eventual permanent inundation of low-lying areas, salt-water intrusion of coastal groundwater, reduction in the effectiveness of drainage and other infrastructure. Lake Macquarie City Council has commenced planning for these hazards through the preparation of Local Adaptation Plans (LAPs) for these suburbs. In line with the NSW Coastal Management Manual and the Coastal Management Toolkit, the selection of management options should be supported by a cost-benefit analysis (CBA). A robust CBA should be based on the expected costs and benefits of a range of intervention strategies rather than on a single best-estimate or design scenario. This requires a probabilistic hazard assessment that amalgamates the likelihoods associated with various coastal threats. Such a methodology has been developed for the open coast erosion hazard as described by Kinsela et al., (2016). This project aims to build on the science of hazard assessment by: • Developing an approach to assess the probability of the combined flooding/tidal/surge inundation hazard for the suburbs of Pelican, Blacksmiths and Swansea allowing for future sea level rise. • Evaluating the probability distribution of Average Annual Damages at present and future times up to 2100; enabling an estimate of the probability distribution of the Net Present Cost of the combined hazard for a base case scenario of no intervention.