Miracle-dz/UniFAR-FTUs huggingface dataset:
MAC-PHY layer optimization for digital video transmission in wireless network

Video transmission over 802.11 wireless networks poses many challenges. Bandwidth demands and timing constraints are two major challenges for real time video transmission over wireless. To increase network throughput as well as overall network capacity, the use of cross layer design approach is required. One of such design approaches includes physical (PHY) and medium access control (MAC) layers considerations and is explored in this paper. This survy paper describes a detailed study of the MAC and PHY layer considerations for good wireless video transmission performance. The ultimate solution for the problem of real time video transmission is to study the different methods of adapting parameters for achieving the delay constraints in real time environment. The best techniques available in literature are studied for adapting the parameters which are suitable for real time video transmission. This study focuses on adaptive retry limit (ARL) parameter for MAC layer and PHY layer parameter like Enhanced Adaptive Forward Error Correction (EnAFEC) for real time video transmission that can be supported by a wireless network. The new scheme for optimizing the wireless network's MAC and PHY layer parameters is proposed in this work.
Democratic evasions: Cornel West and the politics of pragmatism. Author's reply : The American evasion of philosophy: a genealogy of pragmatism

L'un des desaccords les plus interessants et significatifs chez les pragmatistes contemporains est celui de Rorty avec ses critiques a propos de la signification de l'ethique et de la politique neodeweyienne. L'A. etudie plus particulierement les critiques de West exposees dans « The American Evasion of Philosophy » (1989). Suit la reponse de West
An Anisotropic Diffusion Based on Diagonal Edges

Anisotropic diffusion is one of the widely used techniques in the field of image process. Tremendous applications show promising results by using anisotropic diffusion algorithm or its revisions. In conventional anisotropic diffusions, usually 4-neighborhood directions are used: north, south, west and east except diagonal directions of the image. These methods result in the loss of image details and cause false contours. To overcome the shortcoming of these conventional anisotropic diffusion methods, a new anisotropic diffusion method based on diagonal edges is proposed. Experiments results show that the process time of the proposed method including diagonal edges over conventional methods can be up to 0.5 times faster and the image quality improvement can be better up to 0.45 ~ 2.33 (dB).
Equivalence of inner regions for broadcast channel coding

The aim of this paper is to investigate relationship between inner regions for broadcast channel codes transmitting common and private messages. One of the regions is known as the Marton inner region, another region was derived by Gel'fand and Pinsker, and yet another is obtained from the saturation property and collision-resistance property. Although at first glance the Marton inner region appears to be larger than the other regions, they are in fact equivalent.
UW-CSE : Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields

We describe our entry to SemEval 2016 Task 10: Detecting Minimal Semantic Units and their Meanings. Our approach uses a discriminative first-order sequence model similar to Schneider and Smith (2015). The chief novelty in our approach is a factorization of the labels into multiword expression and supersense labels, and restricting first-order dependencies within these two parts. Our submitted models achieved first place in the closed competition (CRF) and second place in the open competition (2-CRF).
Implementation of human-robot VQA interaction system with dynamic memory networks

One of the major functions of intelligent robots such as social or home service robots is to interact with users in natural language. Moving on from simple conversation or retrieval of data stored in computer memory, we present a new Human-Robot Interaction (HRI) system which can understand and reason over environment around the user and provide information about it in a natural language. For its intelligent interaction, we integrated Dynamic Memory Networks (DMN), a deep learning network for Visual Question Answering (VQA). For its hardware, we built a robotic head platform with a tablet PC and a 3 DOF neck. Through an experiment where the user and the robot had question answering interaction in our customized environment and in real time, the feasibility our proposed system was validated, and the effectiveness of deep learning application in real world as well as a new insight on human robot interaction was demonstrated.
Ontology based Recruitment Process

In our research we explore the benefits resulting from the application of Semantic Web technologies in the recruitment domain. We use currently available standards and classifications to develop a human resource ontology which gives us means for semantic annotation of job postings and applications. Furthermore, we outline the process of semantic matching which improves the quality of query results. Finally, we propose an architecture of an evaluation system based on Semantic Web technologies.
Molecular Evidence for Distinct Genotypes of Monkey B Virus (Herpesvirus Simiae) Which Are Related to the Macaque Host Species

ABSTRACT Although monkey B virus (herpesvirus simiae; BV) is common in all macaque species, fatal human infections appear to be associated with exposure to rhesus macaques (Macaca mulatta), suggesting that BV isolates from rhesus monkeys may be more lethal to nonmacaques than are BV strains indigenous to other macaque species. To determine if significant differences that would support this supposition exist among BV isolates, we compared multiple BV strains isolated from rhesus, cynomolgus, pigtail, and Japanese macaques. Antigenic analyses indicated that while the isolates were very closely related to one another, there are some antigenic determinants that are specific to BV isolates from different macaque species. Restriction enzyme digest patterns of viral DNA revealed marked similarities between rhesus and Japanese macaque isolates, while pigtail and cynomolgus macaque isolates had distinctive cleavage patterns. To further compare genetic diversity among BV isolates, DNA sequences from two regions of the viral genome containing genes that are conserved (UL27 and US6) and variable (US4 and US5) among primate alphaherpesviruses, as well as from two noncoding intergenic regions, were determined. From these sequence data and a phylogenetic analysis of them it was evident that while all isolates were closely related strains of BV, there were three distinct genotypes. The three BV genotypes were directly related to the macaque species of origin and were composed of (i) isolates from rhesus and Japanese macaques, (ii) cynomolgus monkey isolates, and (iii) isolates from pigtail macaques. This study demonstrates the existence of different BV genotypes which are related to the macaque host species and thus provides a molecular basis for the possible existence of BV isolates which vary in their levels of pathogenicity for nonmacaque species.
Position control of a robot end-effector based on synthetic aperture wireless localization

The implementation of lightweight robot concepts requires novel measurement and control strategies to deal with the flexibility of the robot arm. To the authors' best knowledge this paper introduces for the first time an innovative closed-loop concept to measure and control the absolute position of the tool center point (TCP) based on a synthetic aperture wireless localization approach. A radio-frequency identification (RFID)-like backscatter transponder is attached to the TCP, and several radar base stations measure the respective roundtrip time-of-flight and phase of the backscattered transponder signals. Inverse radar apertures are synthesized based on a small movement of the TCP. The small TCP trajectory is tracked with simple relative sensors. A holographic synthetic aperture reconstruction algorithm then determines the absolute TCP position - i.e., the trajectory coordinates in the world coordinate system. This absolute positional information is used to observe the control system and identify model errors, which are minimized in a closed-loop procedure. This iteratively improves both the system model and control quality as well as the precision of the synthetic aperture wireless localization. System simulations and first test results prove that the novel concept is suited to measure and control the position of an end-effector with mm-precision, even if the initial system model is partly erroneous.
Range sensor based model construction by sparse surface adjustment

In this paper, we propose an approach to construct highly accurate 3D object models from range data. The main advantage of sensor based model acquisition compared to manual CAD model construction is the short time needed per object. The usual drawbacks of sensor based model reconstruction are sensor noise and errors in the sensor positions which typically lead to less accurate models. Our method drastically reduces this problem by applying a physical model of the underlying range sensor and utilizing a graph-based optimization technique. We present our approach and evaluate it on data recorded in different real world environments with an RGBD camera and a laser range scanner. The experimental results demonstrate that our method provides more accurate maps than standard SLAM methods and that it additionally compares favorable over the moving least squares method.
The Ubiquity of the Technique of Goal Setting in Theories of and Approaches to Employee Motivation

Goal setting is recognized, explicitly or implicitly, by virtually every major theory of work motivation. It was recognized explicitly by advocates of Scientific Management and of Management of Objectives. Ignored in early versions of Human Relations and expectancy (VIE) theory, it now is more openly acknowledged. Cognitive Growth and Organizational Behavior Modification deny the significance of goal setting in theory, but not when they are put into practice. The ubiquity of goal setting in these theories stems from the general recognition that rational human action is goal directed.
Mechanical Design of Fiber-Wound Hydraulic Skeletons : The Stiffening and Straightening of Embryonic

SYNOPSIS. The notochord can play an important mechanical role in shape changes during early morphogenesis of vertebrates. For example, osmotic inflation of notochords elongates and straightens the axis of frog early tail-bud embryos. In Xenopus laevis, the sheath of cross-helically arranged fibers around the notochord limits the shape changes it undergoes when inflating, causing the notochord to stiffen and straighten (Adams et al., 1990; Koehl et al., 1990). We used physical models of stage 24 X. laevis notochords to explore the mechanical consequences of different arrangements of the sheath fibers on the behavior of such curved hydraulic cylinders. All the models straightened upon inflation regardless of initial fiber angle ( angle of the fibers to long axis of the cylinder). Notochord models with 54 lengthened and narrowed as they straightened; although they could push, the forces they exerted were limited by their tendency to buckle, which increased the greater the . In contrast, models with 54 shortened and widened as they straightened and showed pronounced increases in flexural stiffness. The mean of X. laevis early tail-bud notochords is 54 , a fiber angle that permits an increase in the end-to-end distance of the model (along the anterior-posterior axis of the embryo) as it straightens and pushes when pressurized, but that is less prone to Euler and local buckling than are models with higher ’s. Nonetheless, a of 54 in notochords may simply be the result of osmotic swelling.
Prior Occupational Experience, Anticipatory Socialization, and Employee Retention

Research on organizational socialization processes has not firmly established the relationships among prior work experience, preentry variables, and postentry attitudes and behavior. Using a longitudinal sample of 218 newcomers, a survival model was developed to test whether the relationship between prior occupational experience and retention is mediated by such preentry variables as person-job (P-J) fit, value congruence, and organizational expectations. Results indicate that prior occupational work experience significantly affects retention in the short run, and this relationship is mediated by preentry P-J fit and value congruence.
Assessment Policy and Inequality: the United Kingdom experience

Abstract The UK is typical of many industrialised countries at the present time in searching for new kinds of assessment procedure which will be appropriate on the one hand to the goals of the more vocational curricula currently being developed and, on the other, be relevant to the whole range of pupil needs and achievement. The paper explores the impetus behind such changes and argues that the policies so generated embody a number of political and educational contradictions. Using recent developments in England and Scotland as a case study, the paper argues that, despite their egalitarian potential in educational terms, the underlying political climate of cost‐efficiency and laissez‐faire individualism which in turn inhibits any substantial change in traditional educational values is likely to result in reinforced, rather than reduced social divisions being associated with such initiatives.
Optimal design of photovoltaic based submersible permanent magnet BLDC motor using FEM

Optimization plays a crucial role to bring out a trade-off between the cost and efficiency of permanent magnet motors. Optimization algorithm coupled with analytical magnetic circuit analysis, is one such technique to improve the performance of a motor. However, the non-linear effects like saturation, cross-magnetization, etc. are cumbersome to be modelled analytically. In addition, the interdependency between the motor design parameters adds to the complexity in the formulation of an optimization problem. Finite Element Method (FEM) based optimization with stochastic optimization algorithms overcome the said complexities. In this paper, a parametric feasibility analysis is initially carried out to obtain a design prior to optimization of a PV based bore-well submersible "Semi-Modular Dual-Stack" (SMDS) spoke type (ST) Brushless dc (BLDC) motor. Later, the motor model is "parameterized" in MagNet FE environment enabling the feasibility analysis. Further, transient 2D-FEM based multi-objective optimization is carried out using OptiNet Software and the results are presented.
A GPR survey on a morainic lake northerly Turin (Italy)

A waterborne GPR survey consisting of 50 profiles with a total length of about 37 km has been executed on the morainic lake of Candia northerly Turin (Italy). The survey tested the capability of GPR in shallow low-conductive waters to estimate bathymetry, water volume, bottom sediment type, bedding and porosity. Spotty measurements of electrical conductivity and temperature allowed for a better processing of GPR raw data. The results seem to confirm the effectiveness of GPR to give useful information providing suitable geometrical (water depth) and physical (water conductivity) conditions.
Uncalibrated 1D projective camera and 3D affine reconstruction of lines

We describe a linear algorithm to recover 3D affine shape/motion from line correspondences over three views with uncalibrated affine cameras. The key idea is the introduction of a one-dimensional projective camera. This converts the 3D affine reconstruction of "lines" into 2D projective reconstruction of "points". Using the full tensorial representation of three uncalibrated 1D views, we prove that the 3D affine reconstruction of lines from minimal data is unique up to a re-ordering of the views. 3D affine line reconstruction can be performed by properly rescaling image coordinates instead of using projection matrices. The algorithm is validated on both simulated and real image sequences.
Fuzzy Cognitive Maps for Engineering and Technology Management: What Works in Practice?

Due to a lack of available data, many early planning decisions in engineering and technology management have to be based on experts' opinions and their qualitative statements about evolving technologies, markets and general business environments. Several authors have suggested the use of fuzzy cognitive maps (FCMs) to analytically support these decisions with simulation models that can cope with qualitative information. However, only little practice experience is documented. Based on multiple case studies and an extensive literature review, the paper reviews the state-of-the-art of FCM-practice and introduces a six-step guideline for practitioners and researchers who wish to apply FCMs to real-world problems
Peer review and knowledge by testimony in mathematics

The peer review process has been the topic of many studies in the medical sciences, but not so in mathematics. Given that mathematicians refer to results from the literature without checking the proofs in detail, it is interesting to see how the mathematical refereeing process aects the epistemic certainty of this type of mathematical knowledge by testimony. We give a description of the mathematical refereeing process and some results of empirical studies.
Building confidence intervals for band-pass and Hodrick–Prescott filters: an application using bootstrapping

This article generates innovative confidence intervals for two of the most popular de-trending methods: Hodrick–Prescott and band-pass filters. The confidence intervals are obtained using block-bootstrapping techniques for dependent data. GDP trend growth and output gap intervals for the G7 economies are used as examples. This new methodology increases the usefulness of these filters by overcoming the absence of confidence intervals.
C. S. Loch and M. Richmond's genesis of the social situation and social work

Abstract C. S. Loch developed an “organized charity” containing a purposeful helping method and client outcomes such as improved social relationships, individuals’ performance of social roles and personality characteristics. M. Richmond developed Loch's charitable framework into the concept of the social situation; described its various social situa‐tional components and relationships between them; and identified rudimentary helping and client social situations. Early social workers developed such a social situational approach into a purposeful social treatment of social diagnosis and intervention within the emerging field and discipline of social work.
Measuring Up: Assessing the Measurement Properties of Two Self-Control Scales

Gottfredson and Hirschi's self-control theory is one of the most empirically tested explanations of criminal behavior. Yet questions remain about the operationalization of self-control. Researchers have examined the relationship between self-control and crime predominantly with the Grasmick et al. (1993) scale. However, research investigating the measurement properties of that scale has relied primarily on statistical techniques that may underestimate or fail to detect potential problems with the scale. In addition, Hirschi (2004) recently offered a revised operational definition of self-control, which he argued is more faithful to the original theory. To date, research using Hirschi's revised self-control measure is sparse. We contribute to the literature by using Rasch measurement and negative binomial models to examine the measurement properties and construct validity of the Grasmick et al. (1993) and Hirschi (2004) self-control scales. The findings indicate that while there are some differences, and revisions are necessary, both scales demonstrate adequate measurement properties and construct validity.
Institutional Priority for Diversity at Christian Institutions

This evaluative study explored the relationship between institutional priority for diversity and minority enrollment at four schools within the Council for Christian Colleges and Universities, a consortium of Christian institutions. This institutional evaluation utilized public resources in order to gather descriptive data on minority enrollment and institutional commitment. A coding system was used to construct an analysis of each school's institutional priority for engaging the campus community in a diverse learning experience. The themes of intentionality, environment, and demographic awareness were explored. The degree to which the universities embodied each individual theme substantiated their placement within a typology of institutional commitment. This typology gives each university a classification of high institutional commitment, moderate institutional commitment, or weak institutional commitment.
On reduced-order interval observers for time-delay systems

The estimation problem for uncertain time-delay systems is addressed. A design method of reduced-order interval observers is proposed. The observer estimates the set of admissible values (the interval) for the state at each instant of time. The cases of known fixed delays and uncertain time-varying delays are analyzed. The proposed approach can be applied to linear time-delay systems and nonlinear time-delay systems in the output canonical form. The framework efficiency is demonstrated on examples of nonlinear systems.
Astroturfing detection in social media: a binary n‐gram–based approach

Astroturfing is appearing in numerous contexts in social media, with individuals posting product reviews or political commentary under a number of different names, and is of concern because of the intended deception. An astroturfer works with the aim of making it seem that a large number of people hold the same opinion, promoting a consensus based on the astroturfer's intentions. It is generally done for commercial or political advantage, often by paid writers or ideologically motivated writers. This paper brings the notion of authorship attribution to bear on the astroturfing problem, collecting quantities of data from public social media sites and analyzing the putative individual authors to see if they appear to be the same person. The analysis comprises a binary n‐gram method, which was previously shown to be effective at accurately identifying authors on a training set from the same authors, while this paper shows how authors on different social media turn out to be the same author. The method has identified numerous instances where multiple accounts are apparently being operated by a single individual.